diff --git a/gee_catalog.json b/gee_catalog.json
index af4e13c..c67aadd 100644
--- a/gee_catalog.json
+++ b/gee_catalog.json
@@ -726,7 +726,7 @@
"snippet": "ee.ImageCollection('COPERNICUS/S1_GRD')",
"provider": "European Union/ESA/Copernicus",
"state_date": "2014-10-03",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "backscatter, copernicus, esa, eu, polarization, radar, sar, sentinel",
@@ -744,7 +744,7 @@
"snippet": "ee.ImageCollection('COPERNICUS/S2')",
"provider": "European Union/ESA/Copernicus",
"state_date": "2015-06-27",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-180, -56, 180, 83",
"deprecated": true,
"keywords": "copernicus, esa, eu, msi, radiance, sentinel",
@@ -762,7 +762,7 @@
"snippet": "ee.ImageCollection('COPERNICUS/S2_CLOUD_PROBABILITY')",
"provider": "European Union/ESA/Copernicus/SentinelHub",
"state_date": "2015-06-27",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-180, -56, 180, 83",
"deprecated": false,
"keywords": "cloud, copernicus, esa, eu, msi, radiance, sentinel, sentinelhub",
@@ -780,7 +780,7 @@
"snippet": "ee.ImageCollection('COPERNICUS/S2_HARMONIZED')",
"provider": "European Union/ESA/Copernicus",
"state_date": "2015-06-27",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-180, -56, 180, 83",
"deprecated": false,
"keywords": "copernicus, esa, eu, msi, radiance, sentinel",
@@ -798,7 +798,7 @@
"snippet": "ee.ImageCollection('COPERNICUS/S2_SR')",
"provider": "European Union/ESA/Copernicus",
"state_date": "2017-03-28",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-180, -56, 180, 83",
"deprecated": true,
"keywords": "copernicus, esa, eu, msi, reflectance, sentinel, sr",
@@ -816,7 +816,7 @@
"snippet": "ee.ImageCollection('COPERNICUS/S2_SR_HARMONIZED')",
"provider": "European Union/ESA/Copernicus",
"state_date": "2017-03-28",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-180, -56, 180, 83",
"deprecated": false,
"keywords": "copernicus, esa, eu, msi, reflectance, sentinel, sr",
@@ -834,7 +834,7 @@
"snippet": "ee.ImageCollection('COPERNICUS/S3/OLCI')",
"provider": "European Union/ESA/Copernicus",
"state_date": "2016-10-18",
- "end_date": "2024-12-09",
+ "end_date": "2024-12-10",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "copernicus, esa, eu, olci, radiance, sentinel, toa",
@@ -852,7 +852,7 @@
"snippet": "ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_AER_AI')",
"provider": "European Union/ESA/Copernicus",
"state_date": "2018-07-10",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "aai, aerosol, air_quality, copernicus, esa, eu, knmi, pollution, s5p, sentinel, tropomi, uvai",
@@ -870,7 +870,7 @@
"snippet": "ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_AER_LH')",
"provider": "European Union/ESA/Copernicus",
"state_date": "2018-07-10",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "aerosol, air_quality, alh, copernicus, esa, eu, knmi, pollution, s5p, sentinel, tropomi, uvai",
@@ -888,7 +888,7 @@
"snippet": "ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_CLOUD')",
"provider": "European Union/ESA/Copernicus",
"state_date": "2018-07-05",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "climate, cloud, copernicus, dlr, esa, eu, s5p, sentinel, tropomi",
@@ -906,7 +906,7 @@
"snippet": "ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_CO')",
"provider": "European Union/ESA/Copernicus",
"state_date": "2018-11-22",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "air_quality, carbon_monoxide, copernicus, esa, eu, knmi, pollution, s5p, sentinel, sron, tropomi",
@@ -924,7 +924,7 @@
"snippet": "ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_HCHO')",
"provider": "European Union/ESA/Copernicus",
"state_date": "2018-10-02",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "air_quality, bira, copernicus, dlr, esa, eu, formaldehyde, hcho, pollution, s5p, sentinel, tropomi",
@@ -942,7 +942,7 @@
"snippet": "ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_NO2')",
"provider": "European Union/ESA/Copernicus",
"state_date": "2018-07-10",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "air_quality, copernicus, esa, eu, knmi, nitrogen_dioxide, no2, pollution, s5p, sentinel, tropomi",
@@ -960,7 +960,7 @@
"snippet": "ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_O3')",
"provider": "European Union/ESA/Copernicus",
"state_date": "2018-07-10",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "air_quality, copernicus, esa, eu, o3, ozone, pollution, s5p, sentinel, tropomi",
@@ -978,7 +978,7 @@
"snippet": "ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_SO2')",
"provider": "European Union/ESA/Copernicus",
"state_date": "2018-07-10",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "air_quality, bira, copernicus, dlr, esa, eu, pollution, s5p, sentinel, so2, sulfur_dioxide, tropomi",
@@ -996,7 +996,7 @@
"snippet": "ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_AER_AI')",
"provider": "European Union/ESA/Copernicus",
"state_date": "2018-07-04",
- "end_date": "2024-12-08",
+ "end_date": "2024-12-09",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "aai, aerosol, air_quality, copernicus, esa, eu, knmi, pollution, s5p, sentinel, tropomi, uvai",
@@ -1014,7 +1014,7 @@
"snippet": "ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_AER_LH')",
"provider": "European Union/ESA/Copernicus",
"state_date": "2018-07-04",
- "end_date": "2024-12-08",
+ "end_date": "2024-12-09",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "aerosol, air_quality, alh, copernicus, esa, eu, knmi, pollution, s5p, sentinel, tropomi, uvai",
@@ -1032,7 +1032,7 @@
"snippet": "ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_CH4')",
"provider": "European Union/ESA/Copernicus",
"state_date": "2019-02-08",
- "end_date": "2024-12-08",
+ "end_date": "2024-12-09",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "climate, copernicus, esa, eu, knmi, methane, s5p, sentinel, sron, tropomi",
@@ -1050,7 +1050,7 @@
"snippet": "ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_CLOUD')",
"provider": "European Union/ESA/Copernicus",
"state_date": "2018-07-04",
- "end_date": "2024-12-08",
+ "end_date": "2024-12-09",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "climate, cloud, copernicus, dlr, esa, eu, s5p, sentinel, tropomi",
@@ -1068,7 +1068,7 @@
"snippet": "ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_CO')",
"provider": "European Union/ESA/Copernicus",
"state_date": "2018-06-28",
- "end_date": "2024-12-08",
+ "end_date": "2024-12-09",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "air_quality, carbon_monoxide, copernicus, esa, eu, knmi, pollution, s5p, sentinel, sron, tropomi",
@@ -1086,7 +1086,7 @@
"snippet": "ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_HCHO')",
"provider": "European Union/ESA/Copernicus",
"state_date": "2018-12-05",
- "end_date": "2024-12-08",
+ "end_date": "2024-12-09",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "air_quality, bira, copernicus, dlr, esa, eu, formaldehyde, hcho, pollution, s5p, sentinel, tropomi",
@@ -1104,7 +1104,7 @@
"snippet": "ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_NO2')",
"provider": "European Union/ESA/Copernicus",
"state_date": "2018-06-28",
- "end_date": "2024-12-01",
+ "end_date": "2024-12-02",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "air_quality, copernicus, esa, eu, knmi, nitrogen_dioxide, no2, pollution, s5p, sentinel, tropomi",
@@ -1122,7 +1122,7 @@
"snippet": "ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_O3')",
"provider": "European Union/ESA/Copernicus",
"state_date": "2018-09-08",
- "end_date": "2024-12-08",
+ "end_date": "2024-12-09",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "air_quality, copernicus, esa, eu, o3, ozone, pollution, s5p, sentinel, tropomi",
@@ -1140,7 +1140,7 @@
"snippet": "ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_O3_TCL')",
"provider": "European Union/ESA/Copernicus",
"state_date": "2018-04-30",
- "end_date": "2024-11-24",
+ "end_date": "2024-11-25",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "air_quality, copernicus, esa, eu, o3, ozone, pollution, s5p, sentinel, tropomi",
@@ -1158,7 +1158,7 @@
"snippet": "ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_SO2')",
"provider": "European Union/ESA/Copernicus",
"state_date": "2018-12-05",
- "end_date": "2024-12-08",
+ "end_date": "2024-12-09",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "air_quality, bira, copernicus, dlr, esa, eu, pollution, s5p, sentinel, so2, sulfur_dioxide, tropomi",
@@ -1626,7 +1626,7 @@
"snippet": "ee.ImageCollection('ECMWF/ERA5_LAND/DAILY_AGGR')",
"provider": "Daily Aggregates: Google and Copernicus Climate Data Store",
"state_date": "1950-01-02",
- "end_date": "2024-12-03",
+ "end_date": "2024-12-04",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "cds, climate, copernicus, ecmwf, era5_land, evaporation, heat, lakes, precipitation, pressure, radiation, reanalysis, runoff, snow, soil_water, temperature, vegetation, wind",
@@ -1644,7 +1644,7 @@
"snippet": "ee.ImageCollection('ECMWF/ERA5_LAND/HOURLY')",
"provider": "Copernicus Climate Data Store",
"state_date": "1950-01-01",
- "end_date": "2024-12-04",
+ "end_date": "2024-12-05",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "cds, climate, copernicus, ecmwf, era5_land, evaporation, heat, lakes, precipitation, pressure, radiation, reanalysis, runoff, snow, soil_water, temperature, vegetation, wind",
@@ -2400,7 +2400,7 @@
"snippet": "ee.ImageCollection('FIRMS')",
"provider": "NASA / LANCE / EOSDIS",
"state_date": "2000-11-01",
- "end_date": "2024-12-09",
+ "end_date": "2024-12-10",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "eosdis, fire, firms, geophysical, hotspot, lance, modis, nasa, thermal",
@@ -2688,7 +2688,7 @@
"snippet": "ee.ImageCollection('GOOGLE/CLOUD_SCORE_PLUS/V1/S2_HARMONIZED')",
"provider": "Google Earth Engine",
"state_date": "2015-06-27",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "google, cloud, sentinel2_derived",
@@ -2706,7 +2706,7 @@
"snippet": "ee.ImageCollection('GOOGLE/DYNAMICWORLD/V1')",
"provider": "World Resources Institute",
"state_date": "2015-06-27",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "global, google, landcover, landuse, nrt, sentinel2_derived",
@@ -3750,7 +3750,7 @@
"snippet": "ee.ImageCollection('JAXA/GCOM-C/L3/LAND/LAI/V3')",
"provider": "Global Change Observation Mission (GCOM)",
"state_date": "2021-11-29",
- "end_date": "2024-12-08",
+ "end_date": "2024-12-09",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "climate, g_portal, gcom, gcom_c, jaxa, lai, land, leaf_area_index",
@@ -3804,7 +3804,7 @@
"snippet": "ee.ImageCollection('JAXA/GCOM-C/L3/LAND/LST/V3')",
"provider": "Global Change Observation Mission (GCOM)",
"state_date": "2021-11-29",
- "end_date": "2024-12-08",
+ "end_date": "2024-12-09",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "climate, g_portal, gcom, gcom_c, jaxa, land, land_surface_temperature, lst",
@@ -3858,7 +3858,7 @@
"snippet": "ee.ImageCollection('JAXA/GCOM-C/L3/OCEAN/CHLA/V3')",
"provider": "Global Change Observation Mission (GCOM)",
"state_date": "2021-11-29",
- "end_date": "2024-12-08",
+ "end_date": "2024-12-09",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "chla, chlorophyll_a, climate, g_portal, gcom, gcom_c, jaxa, ocean, ocean_color",
@@ -3912,7 +3912,7 @@
"snippet": "ee.ImageCollection('JAXA/GCOM-C/L3/OCEAN/SST/V3')",
"provider": "Global Change Observation Mission (GCOM)",
"state_date": "2018-01-22",
- "end_date": "2024-12-08",
+ "end_date": "2024-12-09",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "climate, g_portal, gcom, gcom_c, jaxa, ocean, sea_surface_temperature, sst",
@@ -3930,7 +3930,7 @@
"snippet": "ee.ImageCollection('JAXA/GPM_L3/GSMaP/v6/operational')",
"provider": "JAXA Earth Observation Research Center",
"state_date": "2014-03-01",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-180, -60, 180, 60",
"deprecated": false,
"keywords": "climate, geophysical, gpm, hourly, jaxa, precipitation, weather",
@@ -3966,7 +3966,7 @@
"snippet": "ee.ImageCollection('JAXA/GPM_L3/GSMaP/v7/operational')",
"provider": "JAXA Earth Observation Research Center",
"state_date": "2014-03-01",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-180, -60, 180, 60",
"deprecated": false,
"keywords": "climate, geophysical, gpm, hourly, jaxa, precipitation, weather",
@@ -3984,7 +3984,7 @@
"snippet": "ee.ImageCollection('JAXA/GPM_L3/GSMaP/v8/operational')",
"provider": "JAXA Earth Observation Research Center",
"state_date": "1998-01-01",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-180, -60, 180, 60",
"deprecated": false,
"keywords": "climate, geophysical, gpm, hourly, jaxa, precipitation, weather",
@@ -5496,7 +5496,7 @@
"snippet": "ee.ImageCollection('LANDSAT/LC08/C02/T1_L2')",
"provider": "USGS",
"state_date": "2013-03-18",
- "end_date": "2024-12-01",
+ "end_date": "2024-12-08",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "cfmask, cloud, fmask, global, l8sr, landsat, lasrc, lc08, lst, reflectance, sr, usgs",
@@ -5514,7 +5514,7 @@
"snippet": "ee.ImageCollection('LANDSAT/LC08/C02/T1_RT')",
"provider": "USGS",
"state_date": "2013-03-18",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "c2, global, l8, landsat, lc8, nrt, oli_tirs, radiance, rt, t1, tier1, usgs",
@@ -5586,7 +5586,7 @@
"snippet": "ee.ImageCollection('LANDSAT/LC08/C02/T2_L2')",
"provider": "USGS",
"state_date": "2013-03-18",
- "end_date": "2024-12-01",
+ "end_date": "2024-12-08",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "cfmask, cloud, fmask, global, l8sr, landsat, lasrc, lc08, lst, reflectance, sr, usgs",
@@ -5622,7 +5622,7 @@
"snippet": "ee.ImageCollection('LANDSAT/LC09/C02/T1')",
"provider": "USGS",
"state_date": "2021-10-31",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "c2, global, l9, landsat, lc9, oli_tirs, radiance, t1, tier1, usgs",
@@ -5640,7 +5640,7 @@
"snippet": "ee.ImageCollection('LANDSAT/LC09/C02/T1_L2')",
"provider": "USGS",
"state_date": "2021-10-31",
- "end_date": "2024-12-06",
+ "end_date": "2024-12-09",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "cfmask, cloud, fmask, global, l9sr, landsat, lasrc, lc09, lst, reflectance, sr, usgs",
@@ -5658,7 +5658,7 @@
"snippet": "ee.ImageCollection('LANDSAT/LC09/C02/T1_TOA')",
"provider": "USGS/Google",
"state_date": "2021-10-31",
- "end_date": "2024-12-09",
+ "end_date": "2024-12-10",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "c2, global, landsat, toa, usgs",
@@ -5676,7 +5676,7 @@
"snippet": "ee.ImageCollection('LANDSAT/LC09/C02/T2')",
"provider": "USGS",
"state_date": "2021-11-02",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "c2, global, l9, landsat, lc9, oli_tirs, radiance, t2, tier2, usgs",
@@ -5694,7 +5694,7 @@
"snippet": "ee.ImageCollection('LANDSAT/LC09/C02/T2_L2')",
"provider": "USGS",
"state_date": "2021-10-31",
- "end_date": "2024-12-05",
+ "end_date": "2024-12-09",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "cfmask, cloud, fmask, global, l9sr, landsat, lasrc, lc09, lst, reflectance, sr, usgs",
@@ -5712,7 +5712,7 @@
"snippet": "ee.ImageCollection('LANDSAT/LC09/C02/T2_TOA')",
"provider": "USGS/Google",
"state_date": "2021-11-02",
- "end_date": "2024-12-09",
+ "end_date": "2024-12-10",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "c2, global, l9, landsat, lc9, toa, usgs",
@@ -7674,7 +7674,7 @@
"snippet": "ee.ImageCollection('MODIS/061/MCD19A1_GRANULES')",
"provider": "NASA LP DAAC at the USGS EROS Center",
"state_date": "2000-12-21",
- "end_date": "2024-12-05",
+ "end_date": "2024-12-07",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "aerosol, aod, aqua, daily, global, maiac, modis, nasa, terra, usgs",
@@ -7692,7 +7692,7 @@
"snippet": "ee.ImageCollection('MODIS/061/MCD19A2_GRANULES')",
"provider": "NASA LP DAAC at the USGS EROS Center",
"state_date": "2000-02-24",
- "end_date": "2024-12-05",
+ "end_date": "2024-12-07",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "aerosol, aod, aqua, daily, global, maiac, mcd19a2, modis, nasa, terra, usgs",
@@ -7782,7 +7782,7 @@
"snippet": "ee.ImageCollection('MODIS/061/MCD43C3')",
"provider": "NASA LP DAAC at the USGS EROS Center",
"state_date": "2000-02-24",
- "end_date": "2024-11-28",
+ "end_date": "2024-12-01",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "albedo, black_sky, brdf, daily, global, modis, nasa, usgs, white_sky",
@@ -7854,7 +7854,7 @@
"snippet": "ee.ImageCollection('MODIS/061/MOD09CMG')",
"provider": "NASA LP DAAC at the USGS EROS Center",
"state_date": "2000-02-24",
- "end_date": "2024-12-05",
+ "end_date": "2024-12-07",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "brightness_temperature, ozone, surface_reflectance, terra",
@@ -8250,7 +8250,7 @@
"snippet": "ee.ImageCollection('MODIS/061/MOD21C1')",
"provider": "NASA LP DAAC at the USGS EROS Center",
"state_date": "2000-02-24",
- "end_date": "2024-12-08",
+ "end_date": "2024-12-09",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "daily, emissivity, global, lst, nasa, surface_temperature, terra, usgs",
@@ -8340,7 +8340,7 @@
"snippet": "ee.ImageCollection('MODIS/061/MYD09CMG')",
"provider": "NASA LP DAAC at the USGS EROS Center",
"state_date": "2002-07-04",
- "end_date": "2024-12-07",
+ "end_date": "2024-12-08",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "brightness_temperature, ozone, surface_reflectance, aqua",
@@ -8682,7 +8682,7 @@
"snippet": "ee.ImageCollection('MODIS/061/MYD21C1')",
"provider": "NASA LP DAAC at the USGS EROS Center",
"state_date": "2000-02-24",
- "end_date": "2024-12-07",
+ "end_date": "2024-12-09",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "aqua, daily, emissivity, global, lst, nasa, surface_temperature, usgs",
@@ -10464,7 +10464,7 @@
"snippet": "ee.ImageCollection('NASA/NLDAS/FORA0125_H002')",
"provider": "NASA GES DISC at NASA Goddard Space Flight Center",
"state_date": "1979-01-01",
- "end_date": "2024-12-07",
+ "end_date": "2024-12-08",
"bbox": "-125.15, 24.85, -66.85, 53.28",
"deprecated": false,
"keywords": "climate, evaporation, forcing, geophysical, hourly, humidity, ldas, nasa, nldas, precipitation, pressure, radiation, temperature, wind",
@@ -10644,7 +10644,7 @@
"snippet": "ee.ImageCollection('NASA/SMAP/SPL4SMGP/007')",
"provider": "Google and NSIDC",
"state_date": "2015-03-31",
- "end_date": "2024-12-05",
+ "end_date": "2024-12-08",
"bbox": "-180, -84, 180, 84",
"deprecated": false,
"keywords": "drought, nasa, smap, soil_moisture, surface, weather",
@@ -10842,7 +10842,7 @@
"snippet": "ee.ImageCollection('NCEP_RE/sea_level_pressure')",
"provider": "NCEP",
"state_date": "1948-01-01",
- "end_date": "2024-12-07",
+ "end_date": "2024-12-08",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "atmosphere, climate, geophysical, ncep, noaa, pressure, reanalysis",
@@ -10860,7 +10860,7 @@
"snippet": "ee.ImageCollection('NCEP_RE/surface_temp')",
"provider": "NCEP",
"state_date": "1948-01-01",
- "end_date": "2024-12-07",
+ "end_date": "2024-12-08",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "atmosphere, climate, geophysical, ncep, noaa, reanalysis, temperature",
@@ -10878,7 +10878,7 @@
"snippet": "ee.ImageCollection('NCEP_RE/surface_wv')",
"provider": "NCEP",
"state_date": "1948-01-01",
- "end_date": "2024-12-07",
+ "end_date": "2024-12-08",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "atmosphere, climate, geophysical, ncep, noaa, precipitable, reanalysis, vapor",
@@ -11112,7 +11112,7 @@
"snippet": "ee.ImageCollection('NOAA/CDR/OISST/V2_1')",
"provider": "NOAA",
"state_date": "1981-09-01",
- "end_date": "2024-12-08",
+ "end_date": "2024-12-09",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "avhrr, cdr, daily, ice, noaa, ocean, oisst, real_time, sst, temperature",
@@ -11184,7 +11184,7 @@
"snippet": "ee.ImageCollection('NOAA/CFSR')",
"provider": "NOAA NWS National Centers for Environmental Prediction (NCEP)",
"state_date": "2018-12-13",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "climate, daylight, flux, forecast, geophysical, ncep, noaa, nws, precipitation, radiation, snow, temperature, vapor, water, weather",
@@ -11202,7 +11202,7 @@
"snippet": "ee.ImageCollection('NOAA/CFSV2/FOR6H')",
"provider": "NOAA NWS National Centers for Environmental Prediction (NCEP)",
"state_date": "1979-01-01",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "climate, daylight, flux, forecast, geophysical, ncep, noaa, nws, precipitation, radiation, snow, temperature, vapor, water, weather",
@@ -11220,7 +11220,7 @@
"snippet": "ee.ImageCollection('NOAA/CPC/Precipitation')",
"provider": "NOAA Physical Sciences Laboratory",
"state_date": "2006-01-01",
- "end_date": "2024-12-08",
+ "end_date": "2024-12-09",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "daily, noaa, precipitation, weather",
@@ -11238,7 +11238,7 @@
"snippet": "ee.ImageCollection('NOAA/CPC/Temperature')",
"provider": "NOAA Physical Sciences Laboratory",
"state_date": "1979-01-01",
- "end_date": "2024-12-09",
+ "end_date": "2024-12-10",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "daily, noaa, precipitation, weather",
@@ -11292,7 +11292,7 @@
"snippet": "ee.ImageCollection('NOAA/GFS0P25')",
"provider": "NOAA/NCEP/EMC",
"state_date": "2015-07-01",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "climate, cloud, emc, flux, forecast, geophysical, gfs, humidity, ncep, noaa, precipitation, radiation, temperature, vapor, weather, wind",
@@ -11310,7 +11310,7 @@
"snippet": "ee.ImageCollection('NOAA/GOES/16/FDCC')",
"provider": "NOAA",
"state_date": "2017-05-24",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-152.11, 14, -49.18, 56.77",
"deprecated": false,
"keywords": "abi, climate, fdc, fire, goes, goes_16, goes_east, goes_r, hotspot, nesdis, noaa, ospo, wildfire",
@@ -11328,7 +11328,7 @@
"snippet": "ee.ImageCollection('NOAA/GOES/16/FDCF')",
"provider": "NOAA",
"state_date": "2017-05-24",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "abi, climate, fdc, fire, goes, goes_16, goes_east, goes_r, hotspot, nesdis, noaa, ospo, wildfire",
@@ -11346,7 +11346,7 @@
"snippet": "ee.ImageCollection('NOAA/GOES/16/MCMIPC')",
"provider": "NOAA",
"state_date": "2017-07-10",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-152.11, 14, -49.18, 56.77",
"deprecated": false,
"keywords": "abi, climate, goes, goes_16, goes_east, goes_r, mcmip, nesdis, noaa, ospo, weather",
@@ -11364,7 +11364,7 @@
"snippet": "ee.ImageCollection('NOAA/GOES/16/MCMIPF')",
"provider": "NOAA",
"state_date": "2017-07-10",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "abi, climate, goes, goes_16, goes_east, goes_r, mcmip, nesdis, noaa, ospo, weather",
@@ -11382,7 +11382,7 @@
"snippet": "ee.ImageCollection('NOAA/GOES/16/MCMIPM')",
"provider": "NOAA",
"state_date": "2017-07-10",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "abi, climate, goes, goes_16, goes_east, goes_r, mcmip, nesdis, noaa, ospo, weather",
@@ -11490,7 +11490,7 @@
"snippet": "ee.ImageCollection('NOAA/GOES/18/FDCC')",
"provider": "NOAA",
"state_date": "2022-10-13",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-180, 14.57, 180, 53.51",
"deprecated": false,
"keywords": "abi, climate, fdc, fire, goes, goes_18, goes_t, goes_west, hotspot, nesdis, noaa, ospo, wildfire",
@@ -11508,7 +11508,7 @@
"snippet": "ee.ImageCollection('NOAA/GOES/18/FDCF')",
"provider": "NOAA",
"state_date": "2022-10-13",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "abi, climate, fdc, fire, goes, goes_18, goes_t, goes_west, hotspot, nesdis, noaa, ospo, wildfire",
@@ -11526,7 +11526,7 @@
"snippet": "ee.ImageCollection('NOAA/GOES/18/MCMIPC')",
"provider": "NOAA",
"state_date": "2018-12-04",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-180, 14.57, 180, 53.51",
"deprecated": false,
"keywords": "abi, climate, goes, goes_18, goes_t, goes_west, mcmip, nesdis, noaa, ospo, weather",
@@ -11544,7 +11544,7 @@
"snippet": "ee.ImageCollection('NOAA/GOES/18/MCMIPF')",
"provider": "NOAA",
"state_date": "2018-12-04",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "abi, climate, goes, goes_18, goes_t, goes_west, mcmip, nesdis, noaa, ospo, weather",
@@ -11562,7 +11562,7 @@
"snippet": "ee.ImageCollection('NOAA/GOES/18/MCMIPM')",
"provider": "NOAA",
"state_date": "2018-12-04",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "abi, climate, goes, goes_18, goes_t, goes_west, mcmip, nesdis, noaa, ospo, weather",
@@ -11670,7 +11670,7 @@
"snippet": "ee.ImageCollection('NOAA/NWS/RTMA')",
"provider": "NOAA/NWS",
"state_date": "2011-01-01",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-130.17, 20.15, -60.81, 52.91",
"deprecated": false,
"keywords": "climate, cloud, geophysical, humidity, noaa, nws, precipitation, pressure, rtma, surface, temperature, visibility, weather, wind",
@@ -12048,7 +12048,7 @@
"snippet": "ee.ImageCollection('OREGONSTATE/PRISM/AN81d')",
"provider": "PRISM / OREGONSTATE",
"state_date": "1981-01-01",
- "end_date": "2024-12-07",
+ "end_date": "2024-12-08",
"bbox": "-125, 24, -66, 50",
"deprecated": false,
"keywords": "climate, daily, geophysical, oregonstate, precipitation, pressure, prism, temperature, vapor, weather",
@@ -13182,7 +13182,7 @@
"snippet": "ee.ImageCollection('TOMS/MERGED')",
"provider": "NASA / GES DISC",
"state_date": "1978-11-01",
- "end_date": "2024-12-08",
+ "end_date": "2024-12-09",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "atmosphere, aura, climate, geophysical, ges_disc, goddard, nasa, omi, ozone, toms",
@@ -16116,7 +16116,7 @@
"snippet": "ee.ImageCollection('projects/gcp-public-data-weathernext/assets/59572747_4_0')",
"provider": "Google",
"state_date": "2020-01-01",
- "end_date": "2024-12-10",
+ "end_date": "2024-12-11",
"bbox": "-180, -90, 180, 90",
"deprecated": false,
"keywords": "weather, weathernext, forecast, temperature, precipitation, wind",
@@ -16314,7 +16314,7 @@
"snippet": "ee.ImageCollection('projects/neon-prod-earthengine/assets/CHM/001')",
"provider": "NEON",
"state_date": "2013-01-01",
- "end_date": "2023-07-03",
+ "end_date": "2023-07-28",
"bbox": "-170, 16, -66, 73",
"deprecated": false,
"keywords": "airborne, canopy, forest, lidar, neon, vegetation",
@@ -16332,7 +16332,7 @@
"snippet": "ee.ImageCollection('projects/neon-prod-earthengine/assets/DEM/001')",
"provider": "NEON",
"state_date": "2013-01-01",
- "end_date": "2023-07-06",
+ "end_date": "2023-07-28",
"bbox": "-170, 16, -66, 73",
"deprecated": false,
"keywords": "airborne, dem, forest, lidar, neon, vegetation",
@@ -16386,7 +16386,7 @@
"snippet": "ee.ImageCollection('projects/neon-prod-earthengine/assets/RGB/001')",
"provider": "NEON",
"state_date": "2013-01-01",
- "end_date": "2023-05-17",
+ "end_date": "2023-07-28",
"bbox": "-170, 16, -66, 73",
"deprecated": false,
"keywords": "airborne, forest, highres, neon, orthophoto, rgb, vegetation",
diff --git a/gee_catalog.tsv b/gee_catalog.tsv
index 421aff9..7b24a7a 100644
--- a/gee_catalog.tsv
+++ b/gee_catalog.tsv
@@ -39,31 +39,31 @@ COPERNICUS/CORINE/V20/100m Copernicus CORINE Land Cover image_collection ee.Imag
COPERNICUS/DEM/GLO30 Copernicus DEM GLO-30: Global 30m Digital Elevation Model image_collection ee.ImageCollection('COPERNICUS/DEM/GLO30') Copernicus 2010-12-01 2015-01-31 -180, -90, 180, 90 False copernicus, dem, elevation, geophysical https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_DEM_GLO30.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_DEM_GLO30 proprietary
COPERNICUS/Landcover/100m/Proba-V-C3/Global Copernicus Global Land Cover Layers: CGLS-LC100 Collection 3 image_collection ee.ImageCollection('COPERNICUS/Landcover/100m/Proba-V-C3/Global') Copernicus 2015-01-01 2019-12-31 -180, -90, 180, 90 False copernicus, eea, esa, eu, landcover, proba, probav, vito https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_Landcover_100m_Proba-V-C3_Global.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_Landcover_100m_Proba-V-C3_Global proprietary
COPERNICUS/Landcover/100m/Proba-V/Global Copernicus Global Land Cover Layers: CGLS-LC100 Collection 2 [deprecated] image_collection ee.ImageCollection('COPERNICUS/Landcover/100m/Proba-V/Global') Copernicus 2015-01-01 2015-01-01 -180, -90, 180, 90 True copernicus, eea, esa, eu, landcover, proba, probav, vito https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_Landcover_100m_Proba-V_Global.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_Landcover_100m_Proba-V_Global proprietary
-COPERNICUS/S1_GRD Sentinel-1 SAR GRD: C-band Synthetic Aperture Radar Ground Range Detected, log scaling image_collection ee.ImageCollection('COPERNICUS/S1_GRD') European Union/ESA/Copernicus 2014-10-03 2024-12-10 -180, -90, 180, 90 False backscatter, copernicus, esa, eu, polarization, radar, sar, sentinel https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S1_GRD.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S1_GRD proprietary
-COPERNICUS/S2 Sentinel-2 MSI: MultiSpectral Instrument, Level-1C [deprecated] image_collection ee.ImageCollection('COPERNICUS/S2') European Union/ESA/Copernicus 2015-06-27 2024-12-10 -180, -56, 180, 83 True copernicus, esa, eu, msi, radiance, sentinel https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S2.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2 proprietary
-COPERNICUS/S2_CLOUD_PROBABILITY Sentinel-2: Cloud Probability image_collection ee.ImageCollection('COPERNICUS/S2_CLOUD_PROBABILITY') European Union/ESA/Copernicus/SentinelHub 2015-06-27 2024-12-10 -180, -56, 180, 83 False cloud, copernicus, esa, eu, msi, radiance, sentinel, sentinelhub https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S2_CLOUD_PROBABILITY.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2_CLOUD_PROBABILITY proprietary
-COPERNICUS/S2_HARMONIZED Harmonized Sentinel-2 MSI: MultiSpectral Instrument, Level-1C image_collection ee.ImageCollection('COPERNICUS/S2_HARMONIZED') European Union/ESA/Copernicus 2015-06-27 2024-12-10 -180, -56, 180, 83 False copernicus, esa, eu, msi, radiance, sentinel https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S2_HARMONIZED.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2_HARMONIZED proprietary
-COPERNICUS/S2_SR Sentinel-2 MSI: MultiSpectral Instrument, Level-2A [deprecated] image_collection ee.ImageCollection('COPERNICUS/S2_SR') European Union/ESA/Copernicus 2017-03-28 2024-12-10 -180, -56, 180, 83 True copernicus, esa, eu, msi, reflectance, sentinel, sr https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S2_SR.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2_SR proprietary
-COPERNICUS/S2_SR_HARMONIZED Harmonized Sentinel-2 MSI: MultiSpectral Instrument, Level-2A image_collection ee.ImageCollection('COPERNICUS/S2_SR_HARMONIZED') European Union/ESA/Copernicus 2017-03-28 2024-12-10 -180, -56, 180, 83 False copernicus, esa, eu, msi, reflectance, sentinel, sr https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S2_SR_HARMONIZED.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2_SR_HARMONIZED proprietary
-COPERNICUS/S3/OLCI Sentinel-3 OLCI EFR: Ocean and Land Color Instrument Earth Observation Full Resolution image_collection ee.ImageCollection('COPERNICUS/S3/OLCI') European Union/ESA/Copernicus 2016-10-18 2024-12-09 -180, -90, 180, 90 False copernicus, esa, eu, olci, radiance, sentinel, toa https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S3_OLCI.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S3_OLCI proprietary
-COPERNICUS/S5P/NRTI/L3_AER_AI Sentinel-5P NRTI AER AI: Near Real-Time UV Aerosol Index image_collection ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_AER_AI') European Union/ESA/Copernicus 2018-07-10 2024-12-10 -180, -90, 180, 90 False aai, aerosol, air_quality, copernicus, esa, eu, knmi, pollution, s5p, sentinel, tropomi, uvai https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_NRTI_L3_AER_AI.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_AER_AI proprietary
-COPERNICUS/S5P/NRTI/L3_AER_LH Sentinel-5P NRTI AER LH: Near Real-Time UV Aerosol Layer Height image_collection ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_AER_LH') European Union/ESA/Copernicus 2018-07-10 2024-12-10 -180, -90, 180, 90 False aerosol, air_quality, alh, copernicus, esa, eu, knmi, pollution, s5p, sentinel, tropomi, uvai https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_NRTI_L3_AER_LH.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_AER_LH proprietary
-COPERNICUS/S5P/NRTI/L3_CLOUD Sentinel-5P NRTI CLOUD: Near Real-Time Cloud image_collection ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_CLOUD') European Union/ESA/Copernicus 2018-07-05 2024-12-10 -180, -90, 180, 90 False climate, cloud, copernicus, dlr, esa, eu, s5p, sentinel, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_NRTI_L3_CLOUD.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_CLOUD proprietary
-COPERNICUS/S5P/NRTI/L3_CO Sentinel-5P NRTI CO: Near Real-Time Carbon Monoxide image_collection ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_CO') European Union/ESA/Copernicus 2018-11-22 2024-12-10 -180, -90, 180, 90 False air_quality, carbon_monoxide, copernicus, esa, eu, knmi, pollution, s5p, sentinel, sron, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_NRTI_L3_CO.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_CO proprietary
-COPERNICUS/S5P/NRTI/L3_HCHO Sentinel-5P NRTI HCHO: Near Real-Time Formaldehyde image_collection ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_HCHO') European Union/ESA/Copernicus 2018-10-02 2024-12-10 -180, -90, 180, 90 False air_quality, bira, copernicus, dlr, esa, eu, formaldehyde, hcho, pollution, s5p, sentinel, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_NRTI_L3_HCHO.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_HCHO proprietary
-COPERNICUS/S5P/NRTI/L3_NO2 Sentinel-5P NRTI NO2: Near Real-Time Nitrogen Dioxide image_collection ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_NO2') European Union/ESA/Copernicus 2018-07-10 2024-12-10 -180, -90, 180, 90 False air_quality, copernicus, esa, eu, knmi, nitrogen_dioxide, no2, pollution, s5p, sentinel, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_NRTI_L3_NO2.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_NO2 proprietary
-COPERNICUS/S5P/NRTI/L3_O3 Sentinel-5P NRTI O3: Near Real-Time Ozone image_collection ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_O3') European Union/ESA/Copernicus 2018-07-10 2024-12-10 -180, -90, 180, 90 False air_quality, copernicus, esa, eu, o3, ozone, pollution, s5p, sentinel, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_NRTI_L3_O3.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_O3 proprietary
-COPERNICUS/S5P/NRTI/L3_SO2 Sentinel-5P NRTI SO2: Near Real-Time Sulfur Dioxide image_collection ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_SO2') European Union/ESA/Copernicus 2018-07-10 2024-12-10 -180, -90, 180, 90 False air_quality, bira, copernicus, dlr, esa, eu, pollution, s5p, sentinel, so2, sulfur_dioxide, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_NRTI_L3_SO2.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_SO2 proprietary
-COPERNICUS/S5P/OFFL/L3_AER_AI Sentinel-5P OFFL AER AI: Offline UV Aerosol Index image_collection ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_AER_AI') European Union/ESA/Copernicus 2018-07-04 2024-12-08 -180, -90, 180, 90 False aai, aerosol, air_quality, copernicus, esa, eu, knmi, pollution, s5p, sentinel, tropomi, uvai https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_OFFL_L3_AER_AI.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_AER_AI proprietary
-COPERNICUS/S5P/OFFL/L3_AER_LH Sentinel-5P OFFL AER LH: Offline UV Aerosol Layer Height image_collection ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_AER_LH') European Union/ESA/Copernicus 2018-07-04 2024-12-08 -180, -90, 180, 90 False aerosol, air_quality, alh, copernicus, esa, eu, knmi, pollution, s5p, sentinel, tropomi, uvai https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_OFFL_L3_AER_LH.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_AER_LH proprietary
-COPERNICUS/S5P/OFFL/L3_CH4 Sentinel-5P OFFL CH4: Offline Methane image_collection ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_CH4') European Union/ESA/Copernicus 2019-02-08 2024-12-08 -180, -90, 180, 90 False climate, copernicus, esa, eu, knmi, methane, s5p, sentinel, sron, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_OFFL_L3_CH4.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_CH4 proprietary
-COPERNICUS/S5P/OFFL/L3_CLOUD Sentinel-5P OFFL CLOUD: Near Real-Time Cloud image_collection ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_CLOUD') European Union/ESA/Copernicus 2018-07-04 2024-12-08 -180, -90, 180, 90 False climate, cloud, copernicus, dlr, esa, eu, s5p, sentinel, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_OFFL_L3_CLOUD.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_CLOUD proprietary
-COPERNICUS/S5P/OFFL/L3_CO Sentinel-5P OFFL CO: Offline Carbon Monoxide image_collection ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_CO') European Union/ESA/Copernicus 2018-06-28 2024-12-08 -180, -90, 180, 90 False air_quality, carbon_monoxide, copernicus, esa, eu, knmi, pollution, s5p, sentinel, sron, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_OFFL_L3_CO.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_CO proprietary
-COPERNICUS/S5P/OFFL/L3_HCHO Sentinel-5P OFFL HCHO: Offline Formaldehyde image_collection ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_HCHO') European Union/ESA/Copernicus 2018-12-05 2024-12-08 -180, -90, 180, 90 False air_quality, bira, copernicus, dlr, esa, eu, formaldehyde, hcho, pollution, s5p, sentinel, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_OFFL_L3_HCHO.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_HCHO proprietary
-COPERNICUS/S5P/OFFL/L3_NO2 Sentinel-5P OFFL NO2: Offline Nitrogen Dioxide image_collection ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_NO2') European Union/ESA/Copernicus 2018-06-28 2024-12-01 -180, -90, 180, 90 False air_quality, copernicus, esa, eu, knmi, nitrogen_dioxide, no2, pollution, s5p, sentinel, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_OFFL_L3_NO2.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_NO2 proprietary
-COPERNICUS/S5P/OFFL/L3_O3 Sentinel-5P OFFL O3: Offline Ozone image_collection ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_O3') European Union/ESA/Copernicus 2018-09-08 2024-12-08 -180, -90, 180, 90 False air_quality, copernicus, esa, eu, o3, ozone, pollution, s5p, sentinel, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_OFFL_L3_O3.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_O3 proprietary
-COPERNICUS/S5P/OFFL/L3_O3_TCL Sentinel-5P OFFL O3 TCL: Offline Tropospheric Ozone image_collection ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_O3_TCL') European Union/ESA/Copernicus 2018-04-30 2024-11-24 -180, -90, 180, 90 False air_quality, copernicus, esa, eu, o3, ozone, pollution, s5p, sentinel, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_OFFL_L3_O3_TCL.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_O3_TCL proprietary
-COPERNICUS/S5P/OFFL/L3_SO2 Sentinel-5P OFFL SO2: Offline Sulfur Dioxide image_collection ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_SO2') European Union/ESA/Copernicus 2018-12-05 2024-12-08 -180, -90, 180, 90 False air_quality, bira, copernicus, dlr, esa, eu, pollution, s5p, sentinel, so2, sulfur_dioxide, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_OFFL_L3_SO2.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_SO2 proprietary
+COPERNICUS/S1_GRD Sentinel-1 SAR GRD: C-band Synthetic Aperture Radar Ground Range Detected, log scaling image_collection ee.ImageCollection('COPERNICUS/S1_GRD') European Union/ESA/Copernicus 2014-10-03 2024-12-11 -180, -90, 180, 90 False backscatter, copernicus, esa, eu, polarization, radar, sar, sentinel https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S1_GRD.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S1_GRD proprietary
+COPERNICUS/S2 Sentinel-2 MSI: MultiSpectral Instrument, Level-1C [deprecated] image_collection ee.ImageCollection('COPERNICUS/S2') European Union/ESA/Copernicus 2015-06-27 2024-12-11 -180, -56, 180, 83 True copernicus, esa, eu, msi, radiance, sentinel https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S2.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2 proprietary
+COPERNICUS/S2_CLOUD_PROBABILITY Sentinel-2: Cloud Probability image_collection ee.ImageCollection('COPERNICUS/S2_CLOUD_PROBABILITY') European Union/ESA/Copernicus/SentinelHub 2015-06-27 2024-12-11 -180, -56, 180, 83 False cloud, copernicus, esa, eu, msi, radiance, sentinel, sentinelhub https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S2_CLOUD_PROBABILITY.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2_CLOUD_PROBABILITY proprietary
+COPERNICUS/S2_HARMONIZED Harmonized Sentinel-2 MSI: MultiSpectral Instrument, Level-1C image_collection ee.ImageCollection('COPERNICUS/S2_HARMONIZED') European Union/ESA/Copernicus 2015-06-27 2024-12-11 -180, -56, 180, 83 False copernicus, esa, eu, msi, radiance, sentinel https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S2_HARMONIZED.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2_HARMONIZED proprietary
+COPERNICUS/S2_SR Sentinel-2 MSI: MultiSpectral Instrument, Level-2A [deprecated] image_collection ee.ImageCollection('COPERNICUS/S2_SR') European Union/ESA/Copernicus 2017-03-28 2024-12-11 -180, -56, 180, 83 True copernicus, esa, eu, msi, reflectance, sentinel, sr https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S2_SR.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2_SR proprietary
+COPERNICUS/S2_SR_HARMONIZED Harmonized Sentinel-2 MSI: MultiSpectral Instrument, Level-2A image_collection ee.ImageCollection('COPERNICUS/S2_SR_HARMONIZED') European Union/ESA/Copernicus 2017-03-28 2024-12-11 -180, -56, 180, 83 False copernicus, esa, eu, msi, reflectance, sentinel, sr https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S2_SR_HARMONIZED.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2_SR_HARMONIZED proprietary
+COPERNICUS/S3/OLCI Sentinel-3 OLCI EFR: Ocean and Land Color Instrument Earth Observation Full Resolution image_collection ee.ImageCollection('COPERNICUS/S3/OLCI') European Union/ESA/Copernicus 2016-10-18 2024-12-10 -180, -90, 180, 90 False copernicus, esa, eu, olci, radiance, sentinel, toa https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S3_OLCI.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S3_OLCI proprietary
+COPERNICUS/S5P/NRTI/L3_AER_AI Sentinel-5P NRTI AER AI: Near Real-Time UV Aerosol Index image_collection ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_AER_AI') European Union/ESA/Copernicus 2018-07-10 2024-12-11 -180, -90, 180, 90 False aai, aerosol, air_quality, copernicus, esa, eu, knmi, pollution, s5p, sentinel, tropomi, uvai https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_NRTI_L3_AER_AI.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_AER_AI proprietary
+COPERNICUS/S5P/NRTI/L3_AER_LH Sentinel-5P NRTI AER LH: Near Real-Time UV Aerosol Layer Height image_collection ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_AER_LH') European Union/ESA/Copernicus 2018-07-10 2024-12-11 -180, -90, 180, 90 False aerosol, air_quality, alh, copernicus, esa, eu, knmi, pollution, s5p, sentinel, tropomi, uvai https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_NRTI_L3_AER_LH.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_AER_LH proprietary
+COPERNICUS/S5P/NRTI/L3_CLOUD Sentinel-5P NRTI CLOUD: Near Real-Time Cloud image_collection ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_CLOUD') European Union/ESA/Copernicus 2018-07-05 2024-12-11 -180, -90, 180, 90 False climate, cloud, copernicus, dlr, esa, eu, s5p, sentinel, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_NRTI_L3_CLOUD.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_CLOUD proprietary
+COPERNICUS/S5P/NRTI/L3_CO Sentinel-5P NRTI CO: Near Real-Time Carbon Monoxide image_collection ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_CO') European Union/ESA/Copernicus 2018-11-22 2024-12-11 -180, -90, 180, 90 False air_quality, carbon_monoxide, copernicus, esa, eu, knmi, pollution, s5p, sentinel, sron, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_NRTI_L3_CO.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_CO proprietary
+COPERNICUS/S5P/NRTI/L3_HCHO Sentinel-5P NRTI HCHO: Near Real-Time Formaldehyde image_collection ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_HCHO') European Union/ESA/Copernicus 2018-10-02 2024-12-11 -180, -90, 180, 90 False air_quality, bira, copernicus, dlr, esa, eu, formaldehyde, hcho, pollution, s5p, sentinel, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_NRTI_L3_HCHO.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_HCHO proprietary
+COPERNICUS/S5P/NRTI/L3_NO2 Sentinel-5P NRTI NO2: Near Real-Time Nitrogen Dioxide image_collection ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_NO2') European Union/ESA/Copernicus 2018-07-10 2024-12-11 -180, -90, 180, 90 False air_quality, copernicus, esa, eu, knmi, nitrogen_dioxide, no2, pollution, s5p, sentinel, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_NRTI_L3_NO2.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_NO2 proprietary
+COPERNICUS/S5P/NRTI/L3_O3 Sentinel-5P NRTI O3: Near Real-Time Ozone image_collection ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_O3') European Union/ESA/Copernicus 2018-07-10 2024-12-11 -180, -90, 180, 90 False air_quality, copernicus, esa, eu, o3, ozone, pollution, s5p, sentinel, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_NRTI_L3_O3.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_O3 proprietary
+COPERNICUS/S5P/NRTI/L3_SO2 Sentinel-5P NRTI SO2: Near Real-Time Sulfur Dioxide image_collection ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_SO2') European Union/ESA/Copernicus 2018-07-10 2024-12-11 -180, -90, 180, 90 False air_quality, bira, copernicus, dlr, esa, eu, pollution, s5p, sentinel, so2, sulfur_dioxide, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_NRTI_L3_SO2.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_NRTI_L3_SO2 proprietary
+COPERNICUS/S5P/OFFL/L3_AER_AI Sentinel-5P OFFL AER AI: Offline UV Aerosol Index image_collection ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_AER_AI') European Union/ESA/Copernicus 2018-07-04 2024-12-09 -180, -90, 180, 90 False aai, aerosol, air_quality, copernicus, esa, eu, knmi, pollution, s5p, sentinel, tropomi, uvai https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_OFFL_L3_AER_AI.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_AER_AI proprietary
+COPERNICUS/S5P/OFFL/L3_AER_LH Sentinel-5P OFFL AER LH: Offline UV Aerosol Layer Height image_collection ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_AER_LH') European Union/ESA/Copernicus 2018-07-04 2024-12-09 -180, -90, 180, 90 False aerosol, air_quality, alh, copernicus, esa, eu, knmi, pollution, s5p, sentinel, tropomi, uvai https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_OFFL_L3_AER_LH.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_AER_LH proprietary
+COPERNICUS/S5P/OFFL/L3_CH4 Sentinel-5P OFFL CH4: Offline Methane image_collection ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_CH4') European Union/ESA/Copernicus 2019-02-08 2024-12-09 -180, -90, 180, 90 False climate, copernicus, esa, eu, knmi, methane, s5p, sentinel, sron, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_OFFL_L3_CH4.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_CH4 proprietary
+COPERNICUS/S5P/OFFL/L3_CLOUD Sentinel-5P OFFL CLOUD: Near Real-Time Cloud image_collection ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_CLOUD') European Union/ESA/Copernicus 2018-07-04 2024-12-09 -180, -90, 180, 90 False climate, cloud, copernicus, dlr, esa, eu, s5p, sentinel, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_OFFL_L3_CLOUD.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_CLOUD proprietary
+COPERNICUS/S5P/OFFL/L3_CO Sentinel-5P OFFL CO: Offline Carbon Monoxide image_collection ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_CO') European Union/ESA/Copernicus 2018-06-28 2024-12-09 -180, -90, 180, 90 False air_quality, carbon_monoxide, copernicus, esa, eu, knmi, pollution, s5p, sentinel, sron, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_OFFL_L3_CO.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_CO proprietary
+COPERNICUS/S5P/OFFL/L3_HCHO Sentinel-5P OFFL HCHO: Offline Formaldehyde image_collection ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_HCHO') European Union/ESA/Copernicus 2018-12-05 2024-12-09 -180, -90, 180, 90 False air_quality, bira, copernicus, dlr, esa, eu, formaldehyde, hcho, pollution, s5p, sentinel, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_OFFL_L3_HCHO.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_HCHO proprietary
+COPERNICUS/S5P/OFFL/L3_NO2 Sentinel-5P OFFL NO2: Offline Nitrogen Dioxide image_collection ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_NO2') European Union/ESA/Copernicus 2018-06-28 2024-12-02 -180, -90, 180, 90 False air_quality, copernicus, esa, eu, knmi, nitrogen_dioxide, no2, pollution, s5p, sentinel, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_OFFL_L3_NO2.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_NO2 proprietary
+COPERNICUS/S5P/OFFL/L3_O3 Sentinel-5P OFFL O3: Offline Ozone image_collection ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_O3') European Union/ESA/Copernicus 2018-09-08 2024-12-09 -180, -90, 180, 90 False air_quality, copernicus, esa, eu, o3, ozone, pollution, s5p, sentinel, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_OFFL_L3_O3.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_O3 proprietary
+COPERNICUS/S5P/OFFL/L3_O3_TCL Sentinel-5P OFFL O3 TCL: Offline Tropospheric Ozone image_collection ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_O3_TCL') European Union/ESA/Copernicus 2018-04-30 2024-11-25 -180, -90, 180, 90 False air_quality, copernicus, esa, eu, o3, ozone, pollution, s5p, sentinel, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_OFFL_L3_O3_TCL.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_O3_TCL proprietary
+COPERNICUS/S5P/OFFL/L3_SO2 Sentinel-5P OFFL SO2: Offline Sulfur Dioxide image_collection ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_SO2') European Union/ESA/Copernicus 2018-12-05 2024-12-09 -180, -90, 180, 90 False air_quality, bira, copernicus, dlr, esa, eu, pollution, s5p, sentinel, so2, sulfur_dioxide, tropomi https://storage.googleapis.com/earthengine-stac/catalog/COPERNICUS/COPERNICUS_S5P_OFFL_L3_SO2.json https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_SO2 proprietary
CPOM/CryoSat2/ANTARCTICA_DEM CryoSat-2 Antarctica 1km DEM image ee.Image('CPOM/CryoSat2/ANTARCTICA_DEM') CPOM 2010-07-01 2016-07-01 -180, -88, 180, -60 False antarctica, cpom, cryosat_2, dem, elevation, polar https://storage.googleapis.com/earthengine-stac/catalog/CPOM/CPOM_CryoSat2_ANTARCTICA_DEM.json https://developers.google.com/earth-engine/datasets/catalog/CPOM_CryoSat2_ANTARCTICA_DEM proprietary
CSIC/SPEI/2_8 SPEIbase: Standardised Precipitation-Evapotranspiration Index database, Version 2.8 [deprecated] image_collection ee.ImageCollection('CSIC/SPEI/2_8') Spanish National Research Council (CSIC) 1901-01-01 2021-01-01 -180, -90, 180, 90 True climate, climate_change, drought, evapotranspiration, global, monthly, palmer, precipitation, temperature https://storage.googleapis.com/earthengine-stac/catalog/CSIC/CSIC_SPEI_2_8.json https://developers.google.com/earth-engine/datasets/catalog/CSIC_SPEI_2_8 CC-BY-4.0
CSIC/SPEI/2_9 SPEIbase: Standardised Precipitation-Evapotranspiration Index database, Version 2.9 image_collection ee.ImageCollection('CSIC/SPEI/2_9') Spanish National Research Council (CSIC) 1901-01-01 2023-01-01 -180, -90, 180, 90 False climate, climate_change, drought, evapotranspiration, global, monthly, palmer, precipitation, temperature https://storage.googleapis.com/earthengine-stac/catalog/CSIC/CSIC_SPEI_2_9.json https://developers.google.com/earth-engine/datasets/catalog/CSIC_SPEI_2_9 CC-BY-4.0
@@ -89,8 +89,8 @@ DOE/ORNL/LandScan_HD/Ukraine_202201 LandScan High Definition Data for Ukraine, J
ECMWF/CAMS/NRT Copernicus Atmosphere Monitoring Service (CAMS) Global Near-Real-Time image_collection ee.ImageCollection('ECMWF/CAMS/NRT') European Centre for Medium-Range Weather Forecasts (ECMWF) 2016-06-22 2024-12-03 -180, -90, 180, 90 False aerosol, atmosphere, climate, copernicus, ecmwf, forecast, particulate_matter https://storage.googleapis.com/earthengine-stac/catalog/ECMWF/ECMWF_CAMS_NRT.json https://developers.google.com/earth-engine/datasets/catalog/ECMWF_CAMS_NRT proprietary
ECMWF/ERA5/DAILY ERA5 Daily Aggregates - Latest Climate Reanalysis Produced by ECMWF / Copernicus Climate Change Service image_collection ee.ImageCollection('ECMWF/ERA5/DAILY') ECMWF / Copernicus Climate Change Service 1979-01-02 2020-07-09 -180, -90, 180, 90 False climate, copernicus, dewpoint, ecmwf, era5, precipitation, pressure, reanalysis, surface, temperature, wind https://storage.googleapis.com/earthengine-stac/catalog/ECMWF/ECMWF_ERA5_DAILY.json https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_DAILY proprietary
ECMWF/ERA5/MONTHLY ERA5 Monthly Aggregates - Latest Climate Reanalysis Produced by ECMWF / Copernicus Climate Change Service image_collection ee.ImageCollection('ECMWF/ERA5/MONTHLY') ECMWF / Copernicus Climate Change Service 1979-01-01 2020-06-01 -180, -90, 180, 90 False climate, copernicus, dewpoint, ecmwf, era5, precipitation, pressure, reanalysis, surface, temperature, wind https://storage.googleapis.com/earthengine-stac/catalog/ECMWF/ECMWF_ERA5_MONTHLY.json https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_MONTHLY proprietary
-ECMWF/ERA5_LAND/DAILY_AGGR ERA5-Land Daily Aggregated - ECMWF Climate Reanalysis image_collection ee.ImageCollection('ECMWF/ERA5_LAND/DAILY_AGGR') Daily Aggregates: Google and Copernicus Climate Data Store 1950-01-02 2024-12-03 -180, -90, 180, 90 False cds, climate, copernicus, ecmwf, era5_land, evaporation, heat, lakes, precipitation, pressure, radiation, reanalysis, runoff, snow, soil_water, temperature, vegetation, wind https://storage.googleapis.com/earthengine-stac/catalog/ECMWF/ECMWF_ERA5_LAND_DAILY_AGGR.json https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_DAILY_AGGR proprietary
-ECMWF/ERA5_LAND/HOURLY ERA5-Land Hourly - ECMWF Climate Reanalysis image_collection ee.ImageCollection('ECMWF/ERA5_LAND/HOURLY') Copernicus Climate Data Store 1950-01-01 2024-12-04 -180, -90, 180, 90 False cds, climate, copernicus, ecmwf, era5_land, evaporation, heat, lakes, precipitation, pressure, radiation, reanalysis, runoff, snow, soil_water, temperature, vegetation, wind https://storage.googleapis.com/earthengine-stac/catalog/ECMWF/ECMWF_ERA5_LAND_HOURLY.json https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_HOURLY proprietary
+ECMWF/ERA5_LAND/DAILY_AGGR ERA5-Land Daily Aggregated - ECMWF Climate Reanalysis image_collection ee.ImageCollection('ECMWF/ERA5_LAND/DAILY_AGGR') Daily Aggregates: Google and Copernicus Climate Data Store 1950-01-02 2024-12-04 -180, -90, 180, 90 False cds, climate, copernicus, ecmwf, era5_land, evaporation, heat, lakes, precipitation, pressure, radiation, reanalysis, runoff, snow, soil_water, temperature, vegetation, wind https://storage.googleapis.com/earthengine-stac/catalog/ECMWF/ECMWF_ERA5_LAND_DAILY_AGGR.json https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_DAILY_AGGR proprietary
+ECMWF/ERA5_LAND/HOURLY ERA5-Land Hourly - ECMWF Climate Reanalysis image_collection ee.ImageCollection('ECMWF/ERA5_LAND/HOURLY') Copernicus Climate Data Store 1950-01-01 2024-12-05 -180, -90, 180, 90 False cds, climate, copernicus, ecmwf, era5_land, evaporation, heat, lakes, precipitation, pressure, radiation, reanalysis, runoff, snow, soil_water, temperature, vegetation, wind https://storage.googleapis.com/earthengine-stac/catalog/ECMWF/ECMWF_ERA5_LAND_HOURLY.json https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_HOURLY proprietary
ECMWF/ERA5_LAND/MONTHLY ERA5-Land Monthly Averaged - ECMWF Climate Reanalysis [deprecated] image_collection ee.ImageCollection('ECMWF/ERA5_LAND/MONTHLY') Copernicus Climate Data Store 1950-02-01 2023-04-01 -180, -90, 180, 90 True cds, climate, copernicus, ecmwf, era5_land, evaporation, heat, lakes, precipitation, pressure, radiation, reanalysis, runoff, snow, soil_water, temperature, vegetation, wind https://storage.googleapis.com/earthengine-stac/catalog/ECMWF/ECMWF_ERA5_LAND_MONTHLY.json https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_MONTHLY proprietary
ECMWF/ERA5_LAND/MONTHLY_AGGR ERA5-Land Monthly Aggregated - ECMWF Climate Reanalysis image_collection ee.ImageCollection('ECMWF/ERA5_LAND/MONTHLY_AGGR') Monthly Aggregates: Google and Copernicus Climate Data Store 1950-02-01 2024-11-01 -180, -90, 180, 90 False cds, climate, copernicus, ecmwf, era5_land, evaporation, heat, lakes, precipitation, pressure, radiation, reanalysis, runoff, snow, soil_water, temperature, vegetation, wind https://storage.googleapis.com/earthengine-stac/catalog/ECMWF/ECMWF_ERA5_LAND_MONTHLY_AGGR.json https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_MONTHLY_AGGR proprietary
ECMWF/ERA5_LAND/MONTHLY_BY_HOUR ERA5-Land Monthly Averaged by Hour of Day - ECMWF Climate Reanalysis image_collection ee.ImageCollection('ECMWF/ERA5_LAND/MONTHLY_BY_HOUR') Climate Data Store 1950-01-01 2024-10-01 -180, -90, 180, 90 False cds, climate, copernicus, ecmwf, era5_land, evaporation, heat, lakes, precipitation, pressure, radiation, reanalysis, runoff, snow, soil_water, temperature, vegetation, wind https://storage.googleapis.com/earthengine-stac/catalog/ECMWF/ECMWF_ERA5_LAND_MONTHLY_BY_HOUR.json https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_MONTHLY_BY_HOUR proprietary
@@ -132,7 +132,7 @@ FAO/WAPOR/2/L1_NPP_D WAPOR Dekadal Net Primary Production 2.0 image_collection e
FAO/WAPOR/2/L1_RET_D WAPOR Dekadal Reference Evapotranspiration 2.0 image_collection ee.ImageCollection('FAO/WAPOR/2/L1_RET_D') FAO UN 2009-01-01 2023-03-11 -30.15, -39.9953437, 65.13, 40.0044643 False agriculture, fao, wapor, water https://storage.googleapis.com/earthengine-stac/catalog/FAO/FAO_WAPOR_2_L1_RET_D.json https://developers.google.com/earth-engine/datasets/catalog/FAO_WAPOR_2_L1_RET_D proprietary
FAO/WAPOR/2/L1_RET_E WAPOR Daily Reference Evapotranspiration 2.0 image_collection ee.ImageCollection('FAO/WAPOR/2/L1_RET_E') FAO UN 2009-01-01 2023-03-20 -30.15, -39.9953437, 65.13, 40.0044643 False agriculture, fao, wapor, water https://storage.googleapis.com/earthengine-stac/catalog/FAO/FAO_WAPOR_2_L1_RET_E.json https://developers.google.com/earth-engine/datasets/catalog/FAO_WAPOR_2_L1_RET_E proprietary
FAO/WAPOR/2/L1_T_D WAPOR Dekadal Transpiration 2.0 image_collection ee.ImageCollection('FAO/WAPOR/2/L1_T_D') FAO UN 2009-01-01 2023-03-01 -30.0044643, -40.0044644, 65.0044644, 40.0044643 False agriculture, fao, wapor, water https://storage.googleapis.com/earthengine-stac/catalog/FAO/FAO_WAPOR_2_L1_T_D.json https://developers.google.com/earth-engine/datasets/catalog/FAO_WAPOR_2_L1_T_D proprietary
-FIRMS FIRMS: Fire Information for Resource Management System image_collection ee.ImageCollection('FIRMS') NASA / LANCE / EOSDIS 2000-11-01 2024-12-09 -180, -90, 180, 90 False eosdis, fire, firms, geophysical, hotspot, lance, modis, nasa, thermal https://storage.googleapis.com/earthengine-stac/catalog/FIRMS/FIRMS.json https://developers.google.com/earth-engine/datasets/catalog/FIRMS proprietary
+FIRMS FIRMS: Fire Information for Resource Management System image_collection ee.ImageCollection('FIRMS') NASA / LANCE / EOSDIS 2000-11-01 2024-12-10 -180, -90, 180, 90 False eosdis, fire, firms, geophysical, hotspot, lance, modis, nasa, thermal https://storage.googleapis.com/earthengine-stac/catalog/FIRMS/FIRMS.json https://developers.google.com/earth-engine/datasets/catalog/FIRMS proprietary
FORMA/FORMA_500m FORMA Global Forest Watch Deforestation Alerts, 500m [deprecated] image ee.Image('FORMA/FORMA_500m') Global Forest Watch, World Resources Institute 2006-01-01 2015-06-10 -180, -90, 180, 90 True alerts, deforestation, forest, forma, geophysical, gfw, modis, nasa, wri https://storage.googleapis.com/earthengine-stac/catalog/FORMA/FORMA_FORMA_500m.json https://developers.google.com/earth-engine/datasets/catalog/FORMA_FORMA_500m proprietary
Finland/MAVI/VV/50cm Finland NRG NLS orthophotos 50 cm by Mavi image_collection ee.ImageCollection('Finland/MAVI/VV/50cm') NLS orthophotos 2015-01-01 2018-01-01 18, 59, 29.2, 69.4 False falsecolor, finland, mavi, nrg, orthophoto https://storage.googleapis.com/earthengine-stac/catalog/Finland/Finland_MAVI_VV_50cm.json https://developers.google.com/earth-engine/datasets/catalog/Finland_MAVI_VV_50cm CC-BY-4.0
Finland/SMK/V/50cm Finland RGB NLS orthophotos 50 cm by SMK image_collection ee.ImageCollection('Finland/SMK/V/50cm') NLS orthophotos 2015-01-01 2023-01-01 18, 59, 29.2, 69.4 False finland, orthophoto, rgb, smk https://storage.googleapis.com/earthengine-stac/catalog/Finland/Finland_SMK_V_50cm.json https://developers.google.com/earth-engine/datasets/catalog/Finland_SMK_V_50cm proprietary
@@ -148,8 +148,8 @@ GLIMS/20230607 GLIMS 2023: Global Land Ice Measurements From Space table ee.Feat
GLIMS/current GLIMS Current: Global Land Ice Measurements From Space table ee.FeatureCollection('GLIMS/current') National Snow and Ice Data Center (NSDIC) 1750-01-01 2023-06-07 -180, -90, 180, 90 False glacier, glims, ice, landcover, nasa, nsidc, snow https://storage.googleapis.com/earthengine-stac/catalog/GLIMS/GLIMS_current.json https://developers.google.com/earth-engine/datasets/catalog/GLIMS_current proprietary
GLOBAL_FLOOD_DB/MODIS_EVENTS/V1 Global Flood Database v1 (2000-2018) image_collection ee.ImageCollection('GLOBAL_FLOOD_DB/MODIS_EVENTS/V1') Cloud to Street (C2S) / Dartmouth Flood Observatory (DFO) 2000-02-17 2018-12-10 -180, -90, 180, 90 False c2s, cloudtostreet, dartmouth, dfo, flood, gfd, inundation, surface, water https://storage.googleapis.com/earthengine-stac/catalog/GLOBAL_FLOOD_DB/GLOBAL_FLOOD_DB_MODIS_EVENTS_V1.json https://developers.google.com/earth-engine/datasets/catalog/GLOBAL_FLOOD_DB_MODIS_EVENTS_V1 CC-BY-NC-4.0
GOOGLE/AirView/California_Unified_2015_2019 Google Street View Air Quality: High Resolution Air Pollution Mapping in California table ee.FeatureCollection('GOOGLE/AirView/California_Unified_2015_2019') Google / Aclima 2015-05-28 2019-06-07 -180, -90, 180, 90 False air_quality, nitrogen_dioxide, pollution https://storage.googleapis.com/earthengine-stac/catalog/GOOGLE/GOOGLE_AirView_California_Unified_2015_2019.json https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_AirView_California_Unified_2015_2019 CC-BY-NC-4.0
-GOOGLE/CLOUD_SCORE_PLUS/V1/S2_HARMONIZED Cloud Score+ S2_HARMONIZED V1 image_collection ee.ImageCollection('GOOGLE/CLOUD_SCORE_PLUS/V1/S2_HARMONIZED') Google Earth Engine 2015-06-27 2024-12-10 -180, -90, 180, 90 False google, cloud, sentinel2_derived https://storage.googleapis.com/earthengine-stac/catalog/GOOGLE/GOOGLE_CLOUD_SCORE_PLUS_V1_S2_HARMONIZED.json https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_CLOUD_SCORE_PLUS_V1_S2_HARMONIZED CC-BY-4.0
-GOOGLE/DYNAMICWORLD/V1 Dynamic World V1 image_collection ee.ImageCollection('GOOGLE/DYNAMICWORLD/V1') World Resources Institute 2015-06-27 2024-12-10 -180, -90, 180, 90 False global, google, landcover, landuse, nrt, sentinel2_derived https://storage.googleapis.com/earthengine-stac/catalog/GOOGLE/GOOGLE_DYNAMICWORLD_V1.json https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_DYNAMICWORLD_V1 CC-BY-4.0
+GOOGLE/CLOUD_SCORE_PLUS/V1/S2_HARMONIZED Cloud Score+ S2_HARMONIZED V1 image_collection ee.ImageCollection('GOOGLE/CLOUD_SCORE_PLUS/V1/S2_HARMONIZED') Google Earth Engine 2015-06-27 2024-12-11 -180, -90, 180, 90 False google, cloud, sentinel2_derived https://storage.googleapis.com/earthengine-stac/catalog/GOOGLE/GOOGLE_CLOUD_SCORE_PLUS_V1_S2_HARMONIZED.json https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_CLOUD_SCORE_PLUS_V1_S2_HARMONIZED CC-BY-4.0
+GOOGLE/DYNAMICWORLD/V1 Dynamic World V1 image_collection ee.ImageCollection('GOOGLE/DYNAMICWORLD/V1') World Resources Institute 2015-06-27 2024-12-11 -180, -90, 180, 90 False global, google, landcover, landuse, nrt, sentinel2_derived https://storage.googleapis.com/earthengine-stac/catalog/GOOGLE/GOOGLE_DYNAMICWORLD_V1.json https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_DYNAMICWORLD_V1 CC-BY-4.0
GOOGLE/GLOBAL_CCDC/V1 Google Global Landsat-based CCDC Segments (1999-2019) image_collection ee.ImageCollection('GOOGLE/GLOBAL_CCDC/V1') Google 1999-01-01 2020-01-01 -180, -60, 180, 72 False change_detection, google, landcover, landsat_derived, landuse https://storage.googleapis.com/earthengine-stac/catalog/GOOGLE/GOOGLE_GLOBAL_CCDC_V1.json https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_GLOBAL_CCDC_V1 CC-BY-4.0
GOOGLE/Research/open-buildings-temporal/v1 Open Buildings Temporal V1 image_collection ee.ImageCollection('GOOGLE/Research/open-buildings-temporal/v1') Google Research - Open Buildings 2016-06-30 2023-06-30 -180, -90, 180, 90 False building_height, height, annual, built_up, open_buildings, africa, asia, south_asia, southeast_asia, high_resolution https://storage.googleapis.com/earthengine-stac/catalog/GOOGLE/GOOGLE_Research_open-buildings-temporal_v1.json https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_Research_open-buildings-temporal_v1 CC-BY-4.0
GOOGLE/Research/open-buildings/v1/polygons Open Buildings V1 Polygons [deprecated] table ee.FeatureCollection('GOOGLE/Research/open-buildings/v1/polygons') Google Research - Open Buildings 2021-04-30 2021-04-30 -180, -90, 180, 90 True africa, building, built_up, open_buildings, structure https://storage.googleapis.com/earthengine-stac/catalog/GOOGLE/GOOGLE_Research_open-buildings_v1_polygons.json https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_Research_open-buildings_v1_polygons CC-BY-4.0
@@ -207,20 +207,20 @@ JAXA/ALOS/PALSAR/YEARLY/SAR Global PALSAR-2/PALSAR Yearly Mosaic, version 1 imag
JAXA/ALOS/PALSAR/YEARLY/SAR_EPOCH Global PALSAR-2/PALSAR Yearly Mosaic, version 2 image_collection ee.ImageCollection('JAXA/ALOS/PALSAR/YEARLY/SAR_EPOCH') JAXA EORC 2015-01-01 2023-01-01 -180, -90, 180, 90 False alos, alos2, eroc, jaxa, palsar, palsar2, sar https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_ALOS_PALSAR_YEARLY_SAR_EPOCH.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_ALOS_PALSAR_YEARLY_SAR_EPOCH proprietary
JAXA/GCOM-C/L3/LAND/LAI/V1 GCOM-C/SGLI L3 Leaf Area Index (V1) image_collection ee.ImageCollection('JAXA/GCOM-C/L3/LAND/LAI/V1') Global Change Observation Mission (GCOM) 2018-01-01 2020-06-28 -180, -90, 180, 90 False climate, g_portal, gcom, gcom_c, jaxa, lai, land, leaf_area_index https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GCOM-C_L3_LAND_LAI_V1.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_LAND_LAI_V1 proprietary
JAXA/GCOM-C/L3/LAND/LAI/V2 GCOM-C/SGLI L3 Leaf Area Index (V2) image_collection ee.ImageCollection('JAXA/GCOM-C/L3/LAND/LAI/V2') Global Change Observation Mission (GCOM) 2018-01-01 2021-11-28 -180, -90, 180, 90 False climate, g_portal, gcom, gcom_c, jaxa, lai, land, leaf_area_index https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GCOM-C_L3_LAND_LAI_V2.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_LAND_LAI_V2 proprietary
-JAXA/GCOM-C/L3/LAND/LAI/V3 GCOM-C/SGLI L3 Leaf Area Index (V3) image_collection ee.ImageCollection('JAXA/GCOM-C/L3/LAND/LAI/V3') Global Change Observation Mission (GCOM) 2021-11-29 2024-12-08 -180, -90, 180, 90 False climate, g_portal, gcom, gcom_c, jaxa, lai, land, leaf_area_index https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GCOM-C_L3_LAND_LAI_V3.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_LAND_LAI_V3 proprietary
+JAXA/GCOM-C/L3/LAND/LAI/V3 GCOM-C/SGLI L3 Leaf Area Index (V3) image_collection ee.ImageCollection('JAXA/GCOM-C/L3/LAND/LAI/V3') Global Change Observation Mission (GCOM) 2021-11-29 2024-12-09 -180, -90, 180, 90 False climate, g_portal, gcom, gcom_c, jaxa, lai, land, leaf_area_index https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GCOM-C_L3_LAND_LAI_V3.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_LAND_LAI_V3 proprietary
JAXA/GCOM-C/L3/LAND/LST/V1 GCOM-C/SGLI L3 Land Surface Temperature (V1) image_collection ee.ImageCollection('JAXA/GCOM-C/L3/LAND/LST/V1') Global Change Observation Mission (GCOM) 2018-01-01 2020-06-28 -180, -90, 180, 90 False climate, g_portal, gcom, gcom_c, jaxa, land, land_surface_temperature, lst https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GCOM-C_L3_LAND_LST_V1.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_LAND_LST_V1 proprietary
JAXA/GCOM-C/L3/LAND/LST/V2 GCOM-C/SGLI L3 Land Surface Temperature (V2) image_collection ee.ImageCollection('JAXA/GCOM-C/L3/LAND/LST/V2') Global Change Observation Mission (GCOM) 2018-01-01 2021-11-28 -180, -90, 180, 90 False climate, g_portal, gcom, gcom_c, jaxa, land, land_surface_temperature, lst https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GCOM-C_L3_LAND_LST_V2.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_LAND_LST_V2 proprietary
-JAXA/GCOM-C/L3/LAND/LST/V3 GCOM-C/SGLI L3 Land Surface Temperature (V3) image_collection ee.ImageCollection('JAXA/GCOM-C/L3/LAND/LST/V3') Global Change Observation Mission (GCOM) 2021-11-29 2024-12-08 -180, -90, 180, 90 False climate, g_portal, gcom, gcom_c, jaxa, land, land_surface_temperature, lst https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GCOM-C_L3_LAND_LST_V3.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_LAND_LST_V3 proprietary
+JAXA/GCOM-C/L3/LAND/LST/V3 GCOM-C/SGLI L3 Land Surface Temperature (V3) image_collection ee.ImageCollection('JAXA/GCOM-C/L3/LAND/LST/V3') Global Change Observation Mission (GCOM) 2021-11-29 2024-12-09 -180, -90, 180, 90 False climate, g_portal, gcom, gcom_c, jaxa, land, land_surface_temperature, lst https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GCOM-C_L3_LAND_LST_V3.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_LAND_LST_V3 proprietary
JAXA/GCOM-C/L3/OCEAN/CHLA/V1 GCOM-C/SGLI L3 Chlorophyll-a Concentration (V1) image_collection ee.ImageCollection('JAXA/GCOM-C/L3/OCEAN/CHLA/V1') Global Change Observation Mission (GCOM) 2018-01-01 2020-06-28 -180, -90, 180, 90 False chla, chlorophyll_a, climate, g_portal, gcom, gcom_c, jaxa, ocean, ocean_color https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GCOM-C_L3_OCEAN_CHLA_V1.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_OCEAN_CHLA_V1 proprietary
JAXA/GCOM-C/L3/OCEAN/CHLA/V2 GCOM-C/SGLI L3 Chlorophyll-a Concentration (V2) image_collection ee.ImageCollection('JAXA/GCOM-C/L3/OCEAN/CHLA/V2') Global Change Observation Mission (GCOM) 2018-01-01 2021-11-28 -180, -90, 180, 90 False chla, chlorophyll_a, climate, g_portal, gcom, gcom_c, jaxa, ocean, ocean_color https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GCOM-C_L3_OCEAN_CHLA_V2.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_OCEAN_CHLA_V2 proprietary
-JAXA/GCOM-C/L3/OCEAN/CHLA/V3 GCOM-C/SGLI L3 Chlorophyll-a Concentration (V3) image_collection ee.ImageCollection('JAXA/GCOM-C/L3/OCEAN/CHLA/V3') Global Change Observation Mission (GCOM) 2021-11-29 2024-12-08 -180, -90, 180, 90 False chla, chlorophyll_a, climate, g_portal, gcom, gcom_c, jaxa, ocean, ocean_color https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GCOM-C_L3_OCEAN_CHLA_V3.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_OCEAN_CHLA_V3 proprietary
+JAXA/GCOM-C/L3/OCEAN/CHLA/V3 GCOM-C/SGLI L3 Chlorophyll-a Concentration (V3) image_collection ee.ImageCollection('JAXA/GCOM-C/L3/OCEAN/CHLA/V3') Global Change Observation Mission (GCOM) 2021-11-29 2024-12-09 -180, -90, 180, 90 False chla, chlorophyll_a, climate, g_portal, gcom, gcom_c, jaxa, ocean, ocean_color https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GCOM-C_L3_OCEAN_CHLA_V3.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_OCEAN_CHLA_V3 proprietary
JAXA/GCOM-C/L3/OCEAN/SST/V1 GCOM-C/SGLI L3 Sea Surface Temperature (V1) image_collection ee.ImageCollection('JAXA/GCOM-C/L3/OCEAN/SST/V1') Global Change Observation Mission (GCOM) 2018-01-01 2020-06-28 -180, -90, 180, 90 False climate, g_portal, gcom, gcom_c, jaxa, ocean, sea_surface_temperature, sst https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GCOM-C_L3_OCEAN_SST_V1.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_OCEAN_SST_V1 proprietary
JAXA/GCOM-C/L3/OCEAN/SST/V2 GCOM-C/SGLI L3 Sea Surface Temperature (V2) image_collection ee.ImageCollection('JAXA/GCOM-C/L3/OCEAN/SST/V2') Global Change Observation Mission (GCOM) 2018-01-01 2021-11-28 -180, -90, 180, 90 False climate, g_portal, gcom, gcom_c, jaxa, ocean, sea_surface_temperature, sst https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GCOM-C_L3_OCEAN_SST_V2.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_OCEAN_SST_V2 proprietary
-JAXA/GCOM-C/L3/OCEAN/SST/V3 GCOM-C/SGLI L3 Sea Surface Temperature (V3) image_collection ee.ImageCollection('JAXA/GCOM-C/L3/OCEAN/SST/V3') Global Change Observation Mission (GCOM) 2018-01-22 2024-12-08 -180, -90, 180, 90 False climate, g_portal, gcom, gcom_c, jaxa, ocean, sea_surface_temperature, sst https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GCOM-C_L3_OCEAN_SST_V3.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_OCEAN_SST_V3 proprietary
-JAXA/GPM_L3/GSMaP/v6/operational GSMaP Operational: Global Satellite Mapping of Precipitation - V6 image_collection ee.ImageCollection('JAXA/GPM_L3/GSMaP/v6/operational') JAXA Earth Observation Research Center 2014-03-01 2024-12-10 -180, -60, 180, 60 False climate, geophysical, gpm, hourly, jaxa, precipitation, weather https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GPM_L3_GSMaP_v6_operational.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GPM_L3_GSMaP_v6_operational proprietary
+JAXA/GCOM-C/L3/OCEAN/SST/V3 GCOM-C/SGLI L3 Sea Surface Temperature (V3) image_collection ee.ImageCollection('JAXA/GCOM-C/L3/OCEAN/SST/V3') Global Change Observation Mission (GCOM) 2018-01-22 2024-12-09 -180, -90, 180, 90 False climate, g_portal, gcom, gcom_c, jaxa, ocean, sea_surface_temperature, sst https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GCOM-C_L3_OCEAN_SST_V3.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_OCEAN_SST_V3 proprietary
+JAXA/GPM_L3/GSMaP/v6/operational GSMaP Operational: Global Satellite Mapping of Precipitation - V6 image_collection ee.ImageCollection('JAXA/GPM_L3/GSMaP/v6/operational') JAXA Earth Observation Research Center 2014-03-01 2024-12-11 -180, -60, 180, 60 False climate, geophysical, gpm, hourly, jaxa, precipitation, weather https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GPM_L3_GSMaP_v6_operational.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GPM_L3_GSMaP_v6_operational proprietary
JAXA/GPM_L3/GSMaP/v6/reanalysis GSMaP Reanalysis: Global Satellite Mapping of Precipitation image_collection ee.ImageCollection('JAXA/GPM_L3/GSMaP/v6/reanalysis') JAXA Earth Observation Research Center 2000-03-01 2014-03-12 -180, -60, 180, 60 False climate, geophysical, gpm, hourly, jaxa, precipitation, weather https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GPM_L3_GSMaP_v6_reanalysis.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GPM_L3_GSMaP_v6_reanalysis proprietary
-JAXA/GPM_L3/GSMaP/v7/operational GSMaP Operational: Global Satellite Mapping of Precipitation - V7 image_collection ee.ImageCollection('JAXA/GPM_L3/GSMaP/v7/operational') JAXA Earth Observation Research Center 2014-03-01 2024-12-10 -180, -60, 180, 60 False climate, geophysical, gpm, hourly, jaxa, precipitation, weather https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GPM_L3_GSMaP_v7_operational.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GPM_L3_GSMaP_v7_operational proprietary
-JAXA/GPM_L3/GSMaP/v8/operational GSMaP Operational: Global Satellite Mapping of Precipitation - V8 image_collection ee.ImageCollection('JAXA/GPM_L3/GSMaP/v8/operational') JAXA Earth Observation Research Center 1998-01-01 2024-12-10 -180, -60, 180, 60 False climate, geophysical, gpm, hourly, jaxa, precipitation, weather https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GPM_L3_GSMaP_v8_operational.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GPM_L3_GSMaP_v8_operational proprietary
+JAXA/GPM_L3/GSMaP/v7/operational GSMaP Operational: Global Satellite Mapping of Precipitation - V7 image_collection ee.ImageCollection('JAXA/GPM_L3/GSMaP/v7/operational') JAXA Earth Observation Research Center 2014-03-01 2024-12-11 -180, -60, 180, 60 False climate, geophysical, gpm, hourly, jaxa, precipitation, weather https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GPM_L3_GSMaP_v7_operational.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GPM_L3_GSMaP_v7_operational proprietary
+JAXA/GPM_L3/GSMaP/v8/operational GSMaP Operational: Global Satellite Mapping of Precipitation - V8 image_collection ee.ImageCollection('JAXA/GPM_L3/GSMaP/v8/operational') JAXA Earth Observation Research Center 1998-01-01 2024-12-11 -180, -60, 180, 60 False climate, geophysical, gpm, hourly, jaxa, precipitation, weather https://storage.googleapis.com/earthengine-stac/catalog/JAXA/JAXA_GPM_L3_GSMaP_v8_operational.json https://developers.google.com/earth-engine/datasets/catalog/JAXA_GPM_L3_GSMaP_v8_operational proprietary
JCU/Murray/GIC/global_tidal_wetland_change/2019 Murray Global Tidal Wetland Change v1.0 (1999-2019) image ee.Image('JCU/Murray/GIC/global_tidal_wetland_change/2019') Murray/JCU 1999-01-01 2019-12-31 -180, -90, 180, 90 False coastal, ecosystem, intertidal, landsat_derived, mangrove, murray, saltmarsh, tidal_flat, tidal_marsh https://storage.googleapis.com/earthengine-stac/catalog/JCU/JCU_Murray_GIC_global_tidal_wetland_change_2019.json https://developers.google.com/earth-engine/datasets/catalog/JCU_Murray_GIC_global_tidal_wetland_change_2019 CC-BY-4.0
JRC/CEMS_GLOFAS/FloodHazard/v1 JRC Global River Flood Hazard Maps Version 1 image_collection ee.ImageCollection('JRC/CEMS_GLOFAS/FloodHazard/v1') Joint Research Centre 2024-03-16 2024-03-16 -180, -90, 180, 90 False flood, monitoring, wri https://storage.googleapis.com/earthengine-stac/catalog/JRC/JRC_CEMS_GLOFAS_FloodHazard_v1.json https://developers.google.com/earth-engine/datasets/catalog/JRC_CEMS_GLOFAS_FloodHazard_v1 CC-BY-4.0
JRC/D5/EUCROPMAP/V1 EUCROPMAP image_collection ee.ImageCollection('JRC/D5/EUCROPMAP/V1') Joint Research Center (JRC) 2018-01-01 2022-01-01 -16.171875, 34.313433, 36.386719, 72.182526 False crop, eu, jrc, lucas, sentinel1_derived https://storage.googleapis.com/earthengine-stac/catalog/JRC/JRC_D5_EUCROPMAP_V1.json https://developers.google.com/earth-engine/datasets/catalog/JRC_D5_EUCROPMAP_V1 CC-BY-4.0
@@ -304,19 +304,19 @@ LANDSAT/GLS2005 Landsat Global Land Survey 2005, Landsat 5+7 scenes image_collec
LANDSAT/GLS2005_L5 Landsat Global Land Survey 2005, Landsat 5 scenes image_collection ee.ImageCollection('LANDSAT/GLS2005_L5') USGS 2003-08-14 2008-05-29 -180, -90, 180, 90 False etm, gls, l5, landsat, radiance, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_GLS2005_L5.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_GLS2005_L5 PDDL-1.0
LANDSAT/GLS2005_L7 Landsat Global Land Survey 2005, Landsat 7 scenes image_collection ee.ImageCollection('LANDSAT/GLS2005_L7') USGS 2003-07-29 2008-07-29 -180, -90, 180, 90 False etm, gls, l7, landsat, radiance, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_GLS2005_L7.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_GLS2005_L7 PDDL-1.0
LANDSAT/LC08/C02/T1 USGS Landsat 8 Collection 2 Tier 1 Raw Scenes image_collection ee.ImageCollection('LANDSAT/LC08/C02/T1') USGS 2013-03-18 2024-12-08 -180, -90, 180, 90 False c2, global, l8, landsat, lc8, oli_tirs, radiance, t1, tier1, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC08_C02_T1.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C02_T1 PDDL-1.0
-LANDSAT/LC08/C02/T1_L2 USGS Landsat 8 Level 2, Collection 2, Tier 1 image_collection ee.ImageCollection('LANDSAT/LC08/C02/T1_L2') USGS 2013-03-18 2024-12-01 -180, -90, 180, 90 False cfmask, cloud, fmask, global, l8sr, landsat, lasrc, lc08, lst, reflectance, sr, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC08_C02_T1_L2.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C02_T1_L2 proprietary
-LANDSAT/LC08/C02/T1_RT USGS Landsat 8 Collection 2 Tier 1 and Real-Time data Raw Scenes image_collection ee.ImageCollection('LANDSAT/LC08/C02/T1_RT') USGS 2013-03-18 2024-12-10 -180, -90, 180, 90 False c2, global, l8, landsat, lc8, nrt, oli_tirs, radiance, rt, t1, tier1, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC08_C02_T1_RT.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C02_T1_RT PDDL-1.0
+LANDSAT/LC08/C02/T1_L2 USGS Landsat 8 Level 2, Collection 2, Tier 1 image_collection ee.ImageCollection('LANDSAT/LC08/C02/T1_L2') USGS 2013-03-18 2024-12-08 -180, -90, 180, 90 False cfmask, cloud, fmask, global, l8sr, landsat, lasrc, lc08, lst, reflectance, sr, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC08_C02_T1_L2.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C02_T1_L2 proprietary
+LANDSAT/LC08/C02/T1_RT USGS Landsat 8 Collection 2 Tier 1 and Real-Time data Raw Scenes image_collection ee.ImageCollection('LANDSAT/LC08/C02/T1_RT') USGS 2013-03-18 2024-12-11 -180, -90, 180, 90 False c2, global, l8, landsat, lc8, nrt, oli_tirs, radiance, rt, t1, tier1, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC08_C02_T1_RT.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C02_T1_RT PDDL-1.0
LANDSAT/LC08/C02/T1_RT_TOA USGS Landsat 8 Collection 2 Tier 1 and Real-Time data TOA Reflectance image_collection ee.ImageCollection('LANDSAT/LC08/C02/T1_RT_TOA') USGS/Google 2013-03-18 2024-12-10 -180, -90, 180, 90 False c2, global, l8, landsat, lc8, toa, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC08_C02_T1_RT_TOA.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C02_T1_RT_TOA PDDL-1.0
LANDSAT/LC08/C02/T1_TOA USGS Landsat 8 Collection 2 Tier 1 TOA Reflectance image_collection ee.ImageCollection('LANDSAT/LC08/C02/T1_TOA') USGS/Google 2013-03-18 2024-12-08 -180, -90, 180, 90 False c2, global, landsat, toa, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC08_C02_T1_TOA.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C02_T1_TOA PDDL-1.0
LANDSAT/LC08/C02/T2 USGS Landsat 8 Collection 2 Tier 2 Raw Scenes image_collection ee.ImageCollection('LANDSAT/LC08/C02/T2') USGS 2021-10-28 2024-12-08 -180, -90, 180, 90 False c2, global, l8, landsat, lc8, oli_tirs, radiance, t2, tier2, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC08_C02_T2.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C02_T2 PDDL-1.0
-LANDSAT/LC08/C02/T2_L2 USGS Landsat 8 Level 2, Collection 2, Tier 2 image_collection ee.ImageCollection('LANDSAT/LC08/C02/T2_L2') USGS 2013-03-18 2024-12-01 -180, -90, 180, 90 False cfmask, cloud, fmask, global, l8sr, landsat, lasrc, lc08, lst, reflectance, sr, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC08_C02_T2_L2.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C02_T2_L2 proprietary
+LANDSAT/LC08/C02/T2_L2 USGS Landsat 8 Level 2, Collection 2, Tier 2 image_collection ee.ImageCollection('LANDSAT/LC08/C02/T2_L2') USGS 2013-03-18 2024-12-08 -180, -90, 180, 90 False cfmask, cloud, fmask, global, l8sr, landsat, lasrc, lc08, lst, reflectance, sr, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC08_C02_T2_L2.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C02_T2_L2 proprietary
LANDSAT/LC08/C02/T2_TOA USGS Landsat 8 Collection 2 Tier 2 TOA Reflectance image_collection ee.ImageCollection('LANDSAT/LC08/C02/T2_TOA') USGS/Google 2021-10-28 2024-12-08 -180, -90, 180, 90 False c2, global, landsat, toa, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC08_C02_T2_TOA.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C02_T2_TOA PDDL-1.0
-LANDSAT/LC09/C02/T1 USGS Landsat 9 Collection 2 Tier 1 Raw Scenes image_collection ee.ImageCollection('LANDSAT/LC09/C02/T1') USGS 2021-10-31 2024-12-10 -180, -90, 180, 90 False c2, global, l9, landsat, lc9, oli_tirs, radiance, t1, tier1, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC09_C02_T1.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC09_C02_T1 PDDL-1.0
-LANDSAT/LC09/C02/T1_L2 USGS Landsat 9 Level 2, Collection 2, Tier 1 image_collection ee.ImageCollection('LANDSAT/LC09/C02/T1_L2') USGS 2021-10-31 2024-12-06 -180, -90, 180, 90 False cfmask, cloud, fmask, global, l9sr, landsat, lasrc, lc09, lst, reflectance, sr, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC09_C02_T1_L2.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC09_C02_T1_L2 proprietary
-LANDSAT/LC09/C02/T1_TOA USGS Landsat 9 Collection 2 Tier 1 TOA Reflectance image_collection ee.ImageCollection('LANDSAT/LC09/C02/T1_TOA') USGS/Google 2021-10-31 2024-12-09 -180, -90, 180, 90 False c2, global, landsat, toa, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC09_C02_T1_TOA.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC09_C02_T1_TOA PDDL-1.0
-LANDSAT/LC09/C02/T2 USGS Landsat 9 Collection 2 Tier 2 Raw Scenes image_collection ee.ImageCollection('LANDSAT/LC09/C02/T2') USGS 2021-11-02 2024-12-10 -180, -90, 180, 90 False c2, global, l9, landsat, lc9, oli_tirs, radiance, t2, tier2, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC09_C02_T2.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC09_C02_T2 PDDL-1.0
-LANDSAT/LC09/C02/T2_L2 USGS Landsat 9 Level 2, Collection 2, Tier 2 image_collection ee.ImageCollection('LANDSAT/LC09/C02/T2_L2') USGS 2021-10-31 2024-12-05 -180, -90, 180, 90 False cfmask, cloud, fmask, global, l9sr, landsat, lasrc, lc09, lst, reflectance, sr, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC09_C02_T2_L2.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC09_C02_T2_L2 proprietary
-LANDSAT/LC09/C02/T2_TOA USGS Landsat 9 Collection 2 Tier 2 TOA Reflectance image_collection ee.ImageCollection('LANDSAT/LC09/C02/T2_TOA') USGS/Google 2021-11-02 2024-12-09 -180, -90, 180, 90 False c2, global, l9, landsat, lc9, toa, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC09_C02_T2_TOA.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC09_C02_T2_TOA PDDL-1.0
+LANDSAT/LC09/C02/T1 USGS Landsat 9 Collection 2 Tier 1 Raw Scenes image_collection ee.ImageCollection('LANDSAT/LC09/C02/T1') USGS 2021-10-31 2024-12-11 -180, -90, 180, 90 False c2, global, l9, landsat, lc9, oli_tirs, radiance, t1, tier1, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC09_C02_T1.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC09_C02_T1 PDDL-1.0
+LANDSAT/LC09/C02/T1_L2 USGS Landsat 9 Level 2, Collection 2, Tier 1 image_collection ee.ImageCollection('LANDSAT/LC09/C02/T1_L2') USGS 2021-10-31 2024-12-09 -180, -90, 180, 90 False cfmask, cloud, fmask, global, l9sr, landsat, lasrc, lc09, lst, reflectance, sr, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC09_C02_T1_L2.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC09_C02_T1_L2 proprietary
+LANDSAT/LC09/C02/T1_TOA USGS Landsat 9 Collection 2 Tier 1 TOA Reflectance image_collection ee.ImageCollection('LANDSAT/LC09/C02/T1_TOA') USGS/Google 2021-10-31 2024-12-10 -180, -90, 180, 90 False c2, global, landsat, toa, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC09_C02_T1_TOA.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC09_C02_T1_TOA PDDL-1.0
+LANDSAT/LC09/C02/T2 USGS Landsat 9 Collection 2 Tier 2 Raw Scenes image_collection ee.ImageCollection('LANDSAT/LC09/C02/T2') USGS 2021-11-02 2024-12-11 -180, -90, 180, 90 False c2, global, l9, landsat, lc9, oli_tirs, radiance, t2, tier2, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC09_C02_T2.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC09_C02_T2 PDDL-1.0
+LANDSAT/LC09/C02/T2_L2 USGS Landsat 9 Level 2, Collection 2, Tier 2 image_collection ee.ImageCollection('LANDSAT/LC09/C02/T2_L2') USGS 2021-10-31 2024-12-09 -180, -90, 180, 90 False cfmask, cloud, fmask, global, l9sr, landsat, lasrc, lc09, lst, reflectance, sr, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC09_C02_T2_L2.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC09_C02_T2_L2 proprietary
+LANDSAT/LC09/C02/T2_TOA USGS Landsat 9 Collection 2 Tier 2 TOA Reflectance image_collection ee.ImageCollection('LANDSAT/LC09/C02/T2_TOA') USGS/Google 2021-11-02 2024-12-10 -180, -90, 180, 90 False c2, global, l9, landsat, lc9, toa, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC09_C02_T2_TOA.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC09_C02_T2_TOA PDDL-1.0
LANDSAT/LE07/C02/T1 USGS Landsat 7 Collection 2 Tier 1 Raw Scenes image_collection ee.ImageCollection('LANDSAT/LE07/C02/T1') USGS 1999-05-28 2024-01-19 -180, -90, 180, 90 False c2, etm, global, l7, landsat, le7, radiance, t1, tier1, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LE07_C02_T1.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LE07_C02_T1 PDDL-1.0
LANDSAT/LE07/C02/T1_L2 USGS Landsat 7 Level 2, Collection 2, Tier 1 image_collection ee.ImageCollection('LANDSAT/LE07/C02/T1_L2') USGS 1999-05-28 2024-01-19 -180, -90, 180, 90 False cfmask, cloud, etm, fmask, global, landsat, lasrc, le07, lst, reflectance, sr, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LE07_C02_T1_L2.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LE07_C02_T1_L2 proprietary
LANDSAT/LE07/C02/T1_RT USGS Landsat 7 Collection 2 Tier 1 and Real-Time data Raw Scenes image_collection ee.ImageCollection('LANDSAT/LE07/C02/T1_RT') USGS 1999-05-28 2024-01-19 -180, -90, 180, 90 False c2, etm, global, l7, landsat, le7, nrt, radiance, rt, t1, tier1, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LE07_C02_T1_RT.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LE07_C02_T1_RT PDDL-1.0
@@ -425,17 +425,17 @@ MODIS/061/MCD12Q2 MCD12Q2.006 Land Cover Dynamics Yearly Global 500m image_colle
MODIS/061/MCD15A3H MCD15A3H.061 MODIS Leaf Area Index/FPAR 4-Day Global 500m image_collection ee.ImageCollection('MODIS/061/MCD15A3H') NASA LP DAAC at the USGS EROS Center 2002-07-04 2024-12-02 -180, -90, 180, 90 False 4_day, fpar, global, lai, mcd15a3h, modis, nasa, usgs, vegetation https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MCD15A3H.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD15A3H proprietary
MODIS/061/MCD18A1 MCD18A1.061 Surface Radiation Daily/3-Hour image_collection ee.ImageCollection('MODIS/061/MCD18A1') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-06-01 -180, -90, 180, 90 False par, radiation https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MCD18A1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD18A1 proprietary
MODIS/061/MCD18C2 MCD18C2.061 Photosynthetically Active Radiation Daily 3-Hour image_collection ee.ImageCollection('MODIS/061/MCD18C2') NASA LP DAAC at the USGS EROS Center 2002-02-24 2024-06-01 -180, -90, 180, 90 False par, radiation https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MCD18C2.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD18C2 proprietary
-MODIS/061/MCD19A1_GRANULES MCD19A1.061: Land Surface BRF Daily L2G Global 500m and 1km image_collection ee.ImageCollection('MODIS/061/MCD19A1_GRANULES') NASA LP DAAC at the USGS EROS Center 2000-12-21 2024-12-05 -180, -90, 180, 90 False aerosol, aod, aqua, daily, global, maiac, modis, nasa, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MCD19A1_GRANULES.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD19A1_GRANULES proprietary
-MODIS/061/MCD19A2_GRANULES MCD19A2.061: Terra & Aqua MAIAC Land Aerosol Optical Depth Daily 1km image_collection ee.ImageCollection('MODIS/061/MCD19A2_GRANULES') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-05 -180, -90, 180, 90 False aerosol, aod, aqua, daily, global, maiac, mcd19a2, modis, nasa, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MCD19A2_GRANULES.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD19A2_GRANULES proprietary
+MODIS/061/MCD19A1_GRANULES MCD19A1.061: Land Surface BRF Daily L2G Global 500m and 1km image_collection ee.ImageCollection('MODIS/061/MCD19A1_GRANULES') NASA LP DAAC at the USGS EROS Center 2000-12-21 2024-12-07 -180, -90, 180, 90 False aerosol, aod, aqua, daily, global, maiac, modis, nasa, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MCD19A1_GRANULES.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD19A1_GRANULES proprietary
+MODIS/061/MCD19A2_GRANULES MCD19A2.061: Terra & Aqua MAIAC Land Aerosol Optical Depth Daily 1km image_collection ee.ImageCollection('MODIS/061/MCD19A2_GRANULES') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-07 -180, -90, 180, 90 False aerosol, aod, aqua, daily, global, maiac, mcd19a2, modis, nasa, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MCD19A2_GRANULES.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD19A2_GRANULES proprietary
MODIS/061/MCD43A1 MCD43A1.061 MODIS BRDF-Albedo Model Parameters Daily 500m image_collection ee.ImageCollection('MODIS/061/MCD43A1') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-11-28 -180, -90, 180, 90 False albedo, brdf, daily, global, mcd43a1, modis, nasa, reflectance, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MCD43A1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD43A1 proprietary
MODIS/061/MCD43A2 MCD43A2.061 MODIS BRDF-Albedo Quality Daily 500m image_collection ee.ImageCollection('MODIS/061/MCD43A2') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-11-28 -180, -90, 180, 90 False albedo, brdf, daily, global, modis, nasa, quality, reflectance, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MCD43A2.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD43A2 proprietary
MODIS/061/MCD43A3 MCD43A3.061 MODIS Albedo Daily 500m image_collection ee.ImageCollection('MODIS/061/MCD43A3') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-11-28 -180, -90, 180, 90 False albedo, black_sky, daily, global, modis, nasa, usgs, white_sky https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MCD43A3.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD43A3 proprietary
MODIS/061/MCD43A4 MCD43A4.061 MODIS Nadir BRDF-Adjusted Reflectance Daily 500m image_collection ee.ImageCollection('MODIS/061/MCD43A4') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-11-28 -180, -90, 180, 90 False albedo, brdf, daily, global, modis, nasa, reflectance, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MCD43A4.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD43A4 proprietary
-MODIS/061/MCD43C3 MCD43C3.061 BRDF/Albedo Daily L3 0.05 Deg CMG image_collection ee.ImageCollection('MODIS/061/MCD43C3') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-11-28 -180, -90, 180, 90 False albedo, black_sky, brdf, daily, global, modis, nasa, usgs, white_sky https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MCD43C3.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD43C3 proprietary
+MODIS/061/MCD43C3 MCD43C3.061 BRDF/Albedo Daily L3 0.05 Deg CMG image_collection ee.ImageCollection('MODIS/061/MCD43C3') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-01 -180, -90, 180, 90 False albedo, black_sky, brdf, daily, global, modis, nasa, usgs, white_sky https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MCD43C3.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD43C3 proprietary
MODIS/061/MCD64A1 MCD64A1.061 MODIS Burned Area Monthly Global 500m image_collection ee.ImageCollection('MODIS/061/MCD64A1') NASA LP DAAC at the USGS EROS Center 2000-11-01 2024-09-01 -180, -90, 180, 90 False burn, change_detection, fire, geophysical, global, mcd64a1, modis, monthly, nasa, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MCD64A1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD64A1 proprietary
MODIS/061/MOD08_M3 MOD08_M3.061 Terra Atmosphere Monthly Global Product image_collection ee.ImageCollection('MODIS/061/MOD08_M3') NASA LAADS DAAC at NASA Goddard Space Flight Center 2000-02-01 2024-11-01 -180, -90, 180, 90 False atmosphere, geophysical, global, mod08, mod08_m3, modis, monthly, nasa, temperature, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD08_M3.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD08_M3 proprietary
MODIS/061/MOD09A1 MOD09A1.061 Terra Surface Reflectance 8-Day Global 500m image_collection ee.ImageCollection('MODIS/061/MOD09A1') NASA LP DAAC at the USGS EROS Center 2000-02-18 2024-11-24 -180, -90, 180, 90 False 8_day, global, mod09a1, modis, nasa, sr, surface_reflectance, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD09A1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD09A1 proprietary
-MODIS/061/MOD09CMG MOD09CMG.061 Terra Surface Reflectance Daily L3 Global 0.05 Deg CMG image_collection ee.ImageCollection('MODIS/061/MOD09CMG') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-05 -180, -90, 180, 90 False brightness_temperature, ozone, surface_reflectance, terra https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD09CMG.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD09CMG proprietary
+MODIS/061/MOD09CMG MOD09CMG.061 Terra Surface Reflectance Daily L3 Global 0.05 Deg CMG image_collection ee.ImageCollection('MODIS/061/MOD09CMG') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-07 -180, -90, 180, 90 False brightness_temperature, ozone, surface_reflectance, terra https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD09CMG.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD09CMG proprietary
MODIS/061/MOD09GA MOD09GA.061 Terra Surface Reflectance Daily Global 1km and 500m image_collection ee.ImageCollection('MODIS/061/MOD09GA') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-07 -180, -90, 180, 90 False daily, global, mod09ga, modis, nasa, sr, surface_reflectance, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD09GA.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD09GA proprietary
MODIS/061/MOD09GQ MOD09GQ.061 Terra Surface Reflectance Daily Global 250m image_collection ee.ImageCollection('MODIS/061/MOD09GQ') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-07 -180, -90, 180, 90 False daily, global, mod09gq, modis, nasa, sr, surface_reflectance, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD09GQ.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD09GQ proprietary
MODIS/061/MOD09Q1 MOD09Q1.061 Terra Surface Reflectance 8-Day Global 250m image_collection ee.ImageCollection('MODIS/061/MOD09Q1') NASA LP DAAC at the USGS EROS Center 2000-02-18 2024-11-24 -180, -90, 180, 90 False 8_day, global, mod09q1, modis, nasa, sr, surface_reflectance, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD09Q1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD09Q1 proprietary
@@ -457,12 +457,12 @@ MODIS/061/MOD17A2HGF MOD17A2HGF.061: Terra Gross Primary Productivity 8-Day Glob
MODIS/061/MOD17A3HGF MOD17A3HGF.061: Terra Net Primary Production Gap-Filled Yearly Global 500m image_collection ee.ImageCollection('MODIS/061/MOD17A3HGF') NASA LP DAAC at the USGS EROS Center 2001-01-01 2023-01-01 -180, -90, 180, 90 False global, gpp, nasa, npp, photosynthesis, productivity, psn, terra, usgs, yearly https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD17A3HGF.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD17A3HGF proprietary
MODIS/061/MOD21A1D MOD21A1D.061 Terra Land Surface Temperature and 3-Band Emissivity Daily Global 1km image_collection ee.ImageCollection('MODIS/061/MOD21A1D') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-07 -180, -90, 180, 90 False daily, emissivity, global, lst, nasa, surface_temperature, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD21A1D.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD21A1D proprietary
MODIS/061/MOD21A1N MOD21A1N.061 Terra Land Surface Temperature and 3-Band Emissivity Daily Global 1km image_collection ee.ImageCollection('MODIS/061/MOD21A1N') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-08 -180, -90, 180, 90 False daily, emissivity, global, lst, nasa, surface_temperature, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD21A1N.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD21A1N proprietary
-MODIS/061/MOD21C1 MOD21C1.061 Terra Land Surface Temperature and 3-Band Emissivity Daily L3 Global 0.05 Deg CMG image_collection ee.ImageCollection('MODIS/061/MOD21C1') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-08 -180, -90, 180, 90 False daily, emissivity, global, lst, nasa, surface_temperature, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD21C1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD21C1 proprietary
+MODIS/061/MOD21C1 MOD21C1.061 Terra Land Surface Temperature and 3-Band Emissivity Daily L3 Global 0.05 Deg CMG image_collection ee.ImageCollection('MODIS/061/MOD21C1') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-09 -180, -90, 180, 90 False daily, emissivity, global, lst, nasa, surface_temperature, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD21C1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD21C1 proprietary
MODIS/061/MOD21C2 MOD21C2.061 Terra Land Surface Temperature and 3-Band Emissivity 8-Day L3 Global 0.05 Deg CMG image_collection ee.ImageCollection('MODIS/061/MOD21C2') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-11-24 -180, -90, 180, 90 False emissivity, global, lst, nasa, surface_temperature, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD21C2.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD21C2 proprietary
MODIS/061/MOD21C3 MOD21C3.061 Terra Land Surface Temperature and 3-Band Emissivity Monthly L3 Global 0.05 Deg CMG image_collection ee.ImageCollection('MODIS/061/MOD21C3') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-11-01 -180, -90, 180, 90 False emissivity, global, lst, monthly, nasa, surface_temperature, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD21C3.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD21C3 proprietary
MODIS/061/MYD08_M3 MYD08_M3.061 Aqua Atmosphere Monthly Global Product image_collection ee.ImageCollection('MODIS/061/MYD08_M3') NASA LAADS DAAC at NASA Goddard Space Flight Center 2002-07-01 2024-11-01 -180, -90, 180, 90 False aqua, atmosphere, geophysical, global, modis, monthly, myd08, myd08_m3, nasa, temperature, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD08_M3.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD08_M3 proprietary
MODIS/061/MYD09A1 MYD09A1.061 Aqua Surface Reflectance 8-Day Global 500m image_collection ee.ImageCollection('MODIS/061/MYD09A1') NASA LP DAAC at the USGS EROS Center 2002-07-04 2024-11-24 -180, -90, 180, 90 False 8_day, aqua, global, modis, myd09a1, nasa, sr, surface_reflectance, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD09A1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD09A1 proprietary
-MODIS/061/MYD09CMG MYD09CMG.061 Aqua Surface Reflectance Daily L3 Global 0.05 Deg CMG image_collection ee.ImageCollection('MODIS/061/MYD09CMG') NASA LP DAAC at the USGS EROS Center 2002-07-04 2024-12-07 -180, -90, 180, 90 False brightness_temperature, ozone, surface_reflectance, aqua https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD09CMG.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD09CMG proprietary
+MODIS/061/MYD09CMG MYD09CMG.061 Aqua Surface Reflectance Daily L3 Global 0.05 Deg CMG image_collection ee.ImageCollection('MODIS/061/MYD09CMG') NASA LP DAAC at the USGS EROS Center 2002-07-04 2024-12-08 -180, -90, 180, 90 False brightness_temperature, ozone, surface_reflectance, aqua https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD09CMG.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD09CMG proprietary
MODIS/061/MYD09GA MYD09GA.061 Aqua Surface Reflectance Daily Global 1km and 500m image_collection ee.ImageCollection('MODIS/061/MYD09GA') NASA LP DAAC at the USGS EROS Center 2002-07-04 2024-12-07 -180, -90, 180, 90 False aqua, daily, global, modis, myd09ga, nasa, sr, surface_reflectance, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD09GA.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD09GA proprietary
MODIS/061/MYD09GQ MYD09GQ.061 Aqua Surface Reflectance Daily Global 250m image_collection ee.ImageCollection('MODIS/061/MYD09GQ') NASA LP DAAC at the USGS EROS Center 2002-07-04 2024-12-07 -180, -90, 180, 90 False aqua, daily, global, modis, myd09gq, nasa, sr, surface_reflectance, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD09GQ.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD09GQ proprietary
MODIS/061/MYD09Q1 MYD09Q1.061 Aqua Surface Reflectance 8-Day Global 250m image_collection ee.ImageCollection('MODIS/061/MYD09Q1') NASA LP DAAC at the USGS EROS Center 2002-07-04 2024-11-24 -180, -90, 180, 90 False 8_day, aqua, global, modis, myd09q1, nasa, sr, surface_reflectance, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD09Q1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD09Q1 proprietary
@@ -481,7 +481,7 @@ MODIS/061/MYD17A2H MYD17A2H.061: Aqua Gross Primary Productivity 8-Day Global 50
MODIS/061/MYD17A3HGF MYD17A3HGF.061: Aqua Net Primary Production Gap-Filled Yearly Global 500m image_collection ee.ImageCollection('MODIS/061/MYD17A3HGF') NASA LP DAAC at the USGS EROS Center 2001-01-01 2023-01-01 -180, -90, 180, 90 False aqua, global, gpp, nasa, npp, photosynthesis, productivity, psn, usgs, yearly https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD17A3HGF.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD17A3HGF proprietary
MODIS/061/MYD21A1D MYD21A1D.061 Aqua Land Surface Temperature and 3-Band Emissivity Daily Global 1km image_collection ee.ImageCollection('MODIS/061/MYD21A1D') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-07 -180, -90, 180, 90 False aqua, daily, emissivity, global, lst, nasa, surface_temperature, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD21A1D.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD21A1D proprietary
MODIS/061/MYD21A1N MYD21A1N.061 Aqua Land Surface Temperature and 3-Band Emissivity Daily Global 1km image_collection ee.ImageCollection('MODIS/061/MYD21A1N') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-07 -180, -90, 180, 90 False aqua, daily, emissivity, global, lst, nasa, surface_temperature, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD21A1N.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD21A1N proprietary
-MODIS/061/MYD21C1 MYD21C1.061 Aqua Land Surface Temperature and 3-Band Emissivity Daily L3 Global 0.05 Deg CMG image_collection ee.ImageCollection('MODIS/061/MYD21C1') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-07 -180, -90, 180, 90 False aqua, daily, emissivity, global, lst, nasa, surface_temperature, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD21C1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD21C1 proprietary
+MODIS/061/MYD21C1 MYD21C1.061 Aqua Land Surface Temperature and 3-Band Emissivity Daily L3 Global 0.05 Deg CMG image_collection ee.ImageCollection('MODIS/061/MYD21C1') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-12-09 -180, -90, 180, 90 False aqua, daily, emissivity, global, lst, nasa, surface_temperature, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD21C1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD21C1 proprietary
MODIS/061/MYD21C2 MYD21C2.061 Aqua Land Surface Temperature and 3-Band Emissivity 8-Day L3 Global 0.05 Deg CMG image_collection ee.ImageCollection('MODIS/061/MYD21C2') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-11-24 -180, -90, 180, 90 False aqua, emissivity, global, lst, nasa, surface_temperature, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD21C2.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD21C2 proprietary
MODIS/061/MYD21C3 MYD21C3.061 Aqua Land Surface Temperature and 3-Band Emissivity Monthly L3 Global 0.05 Deg CMG image_collection ee.ImageCollection('MODIS/061/MYD21C3') NASA LP DAAC at the USGS EROS Center 2000-02-24 2024-11-01 -180, -90, 180, 90 False aqua, emissivity, global, lst, monthly, nasa, surface_temperature, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MYD21C3.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD21C3 proprietary
MODIS/MCD43A1 MCD43A1.005 BRDF-Albedo Model Parameters 16-Day L3 Global 500m [deprecated] image_collection ee.ImageCollection('MODIS/MCD43A1') NASA LP DAAC at the USGS EROS Center 2000-02-18 2017-03-14 -180, -90, 180, 90 True 16_day, albedo, brdf, global, mcd43a1, modis, reflectance, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_MCD43A1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_MCD43A1 proprietary
@@ -580,7 +580,7 @@ NASA/NASADEM_HGT/001 NASADEM: NASA NASADEM Digital Elevation 30m image ee.Image(
NASA/NEX-DCP30 NEX-DCP30: NASA Earth Exchange Downscaled Climate Projections image_collection ee.ImageCollection('NASA/NEX-DCP30') NASA / Climate Analytics Group 1950-01-01 2099-12-01 -125.03, 24.07, -66.47, 53.74 False cag, climate, cmip5, geophysical, ipcc, nasa, nex, precipitation, temperature https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_NEX-DCP30.json https://developers.google.com/earth-engine/datasets/catalog/NASA_NEX-DCP30 proprietary
NASA/NEX-DCP30_ENSEMBLE_STATS NEX-DCP30: Ensemble Stats for NASA Earth Exchange Downscaled Climate Projections image_collection ee.ImageCollection('NASA/NEX-DCP30_ENSEMBLE_STATS') NASA / Climate Analytics Group 1950-01-01 2099-12-01 -125.03, 24.07, -66.47, 49.93 False cag, climate, cmip5, geophysical, ipcc, nasa, nex, precipitation, temperature https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_NEX-DCP30_ENSEMBLE_STATS.json https://developers.google.com/earth-engine/datasets/catalog/NASA_NEX-DCP30_ENSEMBLE_STATS proprietary
NASA/NEX-GDDP NEX-GDDP: NASA Earth Exchange Global Daily Downscaled Climate Projections image_collection ee.ImageCollection('NASA/NEX-GDDP') NASA / Climate Analytics Group 1950-01-01 2100-12-31 -180, -90, 180, 90 False cag, climate, cmip5, gddp, geophysical, ipcc, nasa, nex, precipitation, temperature https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_NEX-GDDP.json https://developers.google.com/earth-engine/datasets/catalog/NASA_NEX-GDDP proprietary
-NASA/NLDAS/FORA0125_H002 NLDAS-2: North American Land Data Assimilation System Forcing Fields image_collection ee.ImageCollection('NASA/NLDAS/FORA0125_H002') NASA GES DISC at NASA Goddard Space Flight Center 1979-01-01 2024-12-07 -125.15, 24.85, -66.85, 53.28 False climate, evaporation, forcing, geophysical, hourly, humidity, ldas, nasa, nldas, precipitation, pressure, radiation, temperature, wind https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_NLDAS_FORA0125_H002.json https://developers.google.com/earth-engine/datasets/catalog/NASA_NLDAS_FORA0125_H002 proprietary
+NASA/NLDAS/FORA0125_H002 NLDAS-2: North American Land Data Assimilation System Forcing Fields image_collection ee.ImageCollection('NASA/NLDAS/FORA0125_H002') NASA GES DISC at NASA Goddard Space Flight Center 1979-01-01 2024-12-08 -125.15, 24.85, -66.85, 53.28 False climate, evaporation, forcing, geophysical, hourly, humidity, ldas, nasa, nldas, precipitation, pressure, radiation, temperature, wind https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_NLDAS_FORA0125_H002.json https://developers.google.com/earth-engine/datasets/catalog/NASA_NLDAS_FORA0125_H002 proprietary
NASA/OCEANDATA/MODIS-Aqua/L3SMI Ocean Color SMI: Standard Mapped Image MODIS Aqua Data image_collection ee.ImageCollection('NASA/OCEANDATA/MODIS-Aqua/L3SMI') NASA OB.DAAC at NASA Goddard Space Flight Center 2002-07-03 2022-02-28 -180, -90, 180, 90 False biology, chlorophyll, climate, modis, nasa, ocean, oceandata, reflectance, sst, temperature, weather https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_OCEANDATA_MODIS-Aqua_L3SMI.json https://developers.google.com/earth-engine/datasets/catalog/NASA_OCEANDATA_MODIS-Aqua_L3SMI proprietary
NASA/OCEANDATA/MODIS-Terra/L3SMI Ocean Color SMI: Standard Mapped Image MODIS Terra Data image_collection ee.ImageCollection('NASA/OCEANDATA/MODIS-Terra/L3SMI') NASA OB.DAAC at NASA Goddard Space Flight Center 2000-02-24 2022-02-28 -180, -90, 180, 90 False biology, chlorophyll, climate, modis, nasa, ocean, oceandata, reflectance, sst, temperature, weather https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_OCEANDATA_MODIS-Terra_L3SMI.json https://developers.google.com/earth-engine/datasets/catalog/NASA_OCEANDATA_MODIS-Terra_L3SMI proprietary
NASA/OCEANDATA/SeaWiFS/L3SMI Ocean Color SMI: Standard Mapped Image SeaWiFS Data image_collection ee.ImageCollection('NASA/OCEANDATA/SeaWiFS/L3SMI') NASA OB.DAAC at NASA Goddard Space Flight Center 1997-09-04 2010-12-10 -180, -90, 180, 90 False biology, chlorophyll, climate, nasa, ocean, oceandata, reflectance, seawifs, temperature, weather https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_OCEANDATA_SeaWiFS_L3SMI.json https://developers.google.com/earth-engine/datasets/catalog/NASA_OCEANDATA_SeaWiFS_L3SMI proprietary
@@ -590,7 +590,7 @@ NASA/ORNL/biomass_carbon_density/v1 Global Aboveground and Belowground Biomass C
NASA/ORNL/global_forest_classification_2020/V1 Global 2020 Forest Classification for IPCC Aboveground Biomass Tier 1 Estimates, V1 image_collection ee.ImageCollection('NASA/ORNL/global_forest_classification_2020/V1') NASA ORNL DAAC at Oak Ridge National Laboratory 2020-01-01 2020-12-31 -180, -90, 180, 90 False aboveground, biomass, carbon, classification, forest, ipcc, nasa, primary_forest, secondary_forest https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_ORNL_global_forest_classification_2020_V1.json https://developers.google.com/earth-engine/datasets/catalog/NASA_ORNL_global_forest_classification_2020_V1 proprietary
NASA/SMAP/SPL3SMP_E/005 SPL3SMP_E.005 SMAP L3 Radiometer Global Daily 9 km Soil Moisture image_collection ee.ImageCollection('NASA/SMAP/SPL3SMP_E/005') Google and NSIDC 2015-03-31 2023-12-03 -180, -84, 180, 84 False drought, nasa, smap, soil_moisture, surface, weather https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_SMAP_SPL3SMP_E_005.json https://developers.google.com/earth-engine/datasets/catalog/NASA_SMAP_SPL3SMP_E_005 proprietary
NASA/SMAP/SPL3SMP_E/006 SPL3SMP_E.006 SMAP L3 Radiometer Global Daily 9 km Soil Moisture image_collection ee.ImageCollection('NASA/SMAP/SPL3SMP_E/006') Google and NSIDC 2023-12-04 2024-12-08 -180, -84, 180, 84 False drought, nasa, smap, soil_moisture, surface, weather https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_SMAP_SPL3SMP_E_006.json https://developers.google.com/earth-engine/datasets/catalog/NASA_SMAP_SPL3SMP_E_006 proprietary
-NASA/SMAP/SPL4SMGP/007 SPL4SMGP.007 SMAP L4 Global 3-hourly 9-km Surface and Root Zone Soil Moisture image_collection ee.ImageCollection('NASA/SMAP/SPL4SMGP/007') Google and NSIDC 2015-03-31 2024-12-05 -180, -84, 180, 84 False drought, nasa, smap, soil_moisture, surface, weather https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_SMAP_SPL4SMGP_007.json https://developers.google.com/earth-engine/datasets/catalog/NASA_SMAP_SPL4SMGP_007 proprietary
+NASA/SMAP/SPL4SMGP/007 SPL4SMGP.007 SMAP L4 Global 3-hourly 9-km Surface and Root Zone Soil Moisture image_collection ee.ImageCollection('NASA/SMAP/SPL4SMGP/007') Google and NSIDC 2015-03-31 2024-12-08 -180, -84, 180, 84 False drought, nasa, smap, soil_moisture, surface, weather https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_SMAP_SPL4SMGP_007.json https://developers.google.com/earth-engine/datasets/catalog/NASA_SMAP_SPL4SMGP_007 proprietary
NASA/VIIRS/002/VNP09GA VNP09GA: VIIRS Surface Reflectance Daily 500m and 1km image_collection ee.ImageCollection('NASA/VIIRS/002/VNP09GA') NASA Land SIPS 2012-01-19 2024-12-05 -180, -90, 180, 90 False daily, nasa, noaa, npp, reflectance, sr, viirs, vnp09ga https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_VIIRS_002_VNP09GA.json https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP09GA proprietary
NASA/VIIRS/002/VNP09H1 VNP09H1: VIIRS Surface Reflectance 8-Day L3 Global 500m image_collection ee.ImageCollection('NASA/VIIRS/002/VNP09H1') NASA LP DAAC at the USGS EROS Center 2012-01-19 2024-11-24 -180, -90, 180, 90 False daily, nasa, noaa, npp, reflectance, sr, viirs https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_VIIRS_002_VNP09H1.json https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP09H1 proprietary
NASA/VIIRS/002/VNP13A1 VNP13A1.002: VIIRS Vegetation Indices 16-Day 500m image_collection ee.ImageCollection('NASA/VIIRS/002/VNP13A1') NASA LP DAAC at the USGS EROS Center 2012-01-17 2024-11-16 -180, -90, 180, 90 False 16_day, evi, nasa, ndvi, noaa, npp, vegetation, viirs, vnp13a1 https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_VIIRS_002_VNP13A1.json https://developers.google.com/earth-engine/datasets/catalog/NASA_VIIRS_002_VNP13A1 proprietary
@@ -601,9 +601,9 @@ NASA/VIIRS/002/VNP21A1N VNP21A1N.002: Night Land Surface Temperature and Emissiv
NASA_USDA/HSL/SMAP10KM_soil_moisture NASA-USDA Enhanced SMAP Global Soil Moisture Data [deprecated] image_collection ee.ImageCollection('NASA_USDA/HSL/SMAP10KM_soil_moisture') NASA GSFC 2015-04-02 2022-08-02 -180, -60, 180, 90 True geophysical, hsl, nasa, smap, soil, soil_moisture, usda https://storage.googleapis.com/earthengine-stac/catalog/NASA_USDA/NASA_USDA_HSL_SMAP10KM_soil_moisture.json https://developers.google.com/earth-engine/datasets/catalog/NASA_USDA_HSL_SMAP10KM_soil_moisture proprietary
NASA_USDA/HSL/SMAP_soil_moisture NASA-USDA SMAP Global Soil Moisture Data [deprecated] image_collection ee.ImageCollection('NASA_USDA/HSL/SMAP_soil_moisture') NASA GSFC 2015-04-02 2020-12-31 -180, -60, 180, 90 True geophysical, hsl, nasa, smap, soil, soil_moisture, usda https://storage.googleapis.com/earthengine-stac/catalog/NASA_USDA/NASA_USDA_HSL_SMAP_soil_moisture.json https://developers.google.com/earth-engine/datasets/catalog/NASA_USDA_HSL_SMAP_soil_moisture proprietary
NASA_USDA/HSL/soil_moisture NASA-USDA Global Soil Moisture Data [deprecated] image_collection ee.ImageCollection('NASA_USDA/HSL/soil_moisture') NASA GSFC 2010-01-13 2020-12-31 -180, -60, 180, 90 True geophysical, hsl, nasa, smos, soil, soil_moisture, usda https://storage.googleapis.com/earthengine-stac/catalog/NASA_USDA/NASA_USDA_HSL_soil_moisture.json https://developers.google.com/earth-engine/datasets/catalog/NASA_USDA_HSL_soil_moisture proprietary
-NCEP_RE/sea_level_pressure NCEP/NCAR Reanalysis Data, Sea-Level Pressure image_collection ee.ImageCollection('NCEP_RE/sea_level_pressure') NCEP 1948-01-01 2024-12-07 -180, -90, 180, 90 False atmosphere, climate, geophysical, ncep, noaa, pressure, reanalysis https://storage.googleapis.com/earthengine-stac/catalog/NCEP_RE/NCEP_RE_sea_level_pressure.json https://developers.google.com/earth-engine/datasets/catalog/NCEP_RE_sea_level_pressure proprietary
-NCEP_RE/surface_temp NCEP/NCAR Reanalysis Data, Surface Temperature image_collection ee.ImageCollection('NCEP_RE/surface_temp') NCEP 1948-01-01 2024-12-07 -180, -90, 180, 90 False atmosphere, climate, geophysical, ncep, noaa, reanalysis, temperature https://storage.googleapis.com/earthengine-stac/catalog/NCEP_RE/NCEP_RE_surface_temp.json https://developers.google.com/earth-engine/datasets/catalog/NCEP_RE_surface_temp proprietary
-NCEP_RE/surface_wv NCEP/NCAR Reanalysis Data, Water Vapor image_collection ee.ImageCollection('NCEP_RE/surface_wv') NCEP 1948-01-01 2024-12-07 -180, -90, 180, 90 False atmosphere, climate, geophysical, ncep, noaa, precipitable, reanalysis, vapor https://storage.googleapis.com/earthengine-stac/catalog/NCEP_RE/NCEP_RE_surface_wv.json https://developers.google.com/earth-engine/datasets/catalog/NCEP_RE_surface_wv proprietary
+NCEP_RE/sea_level_pressure NCEP/NCAR Reanalysis Data, Sea-Level Pressure image_collection ee.ImageCollection('NCEP_RE/sea_level_pressure') NCEP 1948-01-01 2024-12-08 -180, -90, 180, 90 False atmosphere, climate, geophysical, ncep, noaa, pressure, reanalysis https://storage.googleapis.com/earthengine-stac/catalog/NCEP_RE/NCEP_RE_sea_level_pressure.json https://developers.google.com/earth-engine/datasets/catalog/NCEP_RE_sea_level_pressure proprietary
+NCEP_RE/surface_temp NCEP/NCAR Reanalysis Data, Surface Temperature image_collection ee.ImageCollection('NCEP_RE/surface_temp') NCEP 1948-01-01 2024-12-08 -180, -90, 180, 90 False atmosphere, climate, geophysical, ncep, noaa, reanalysis, temperature https://storage.googleapis.com/earthengine-stac/catalog/NCEP_RE/NCEP_RE_surface_temp.json https://developers.google.com/earth-engine/datasets/catalog/NCEP_RE_surface_temp proprietary
+NCEP_RE/surface_wv NCEP/NCAR Reanalysis Data, Water Vapor image_collection ee.ImageCollection('NCEP_RE/surface_wv') NCEP 1948-01-01 2024-12-08 -180, -90, 180, 90 False atmosphere, climate, geophysical, ncep, noaa, precipitable, reanalysis, vapor https://storage.googleapis.com/earthengine-stac/catalog/NCEP_RE/NCEP_RE_surface_wv.json https://developers.google.com/earth-engine/datasets/catalog/NCEP_RE_surface_wv proprietary
NOAA/CDR/ATMOS_NEAR_SURFACE/V2 NOAA CDR: Ocean Near-Surface Atmospheric Properties, Version 2 image_collection ee.ImageCollection('NOAA/CDR/ATMOS_NEAR_SURFACE/V2') NOAA 1988-01-01 2021-08-31 -180, -90, 180, 90 False air_temperature, atmospheric, cdr, hourly, humidity, noaa, ocean, osb, wind https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CDR_ATMOS_NEAR_SURFACE_V2.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_ATMOS_NEAR_SURFACE_V2 proprietary
NOAA/CDR/AVHRR/AOT/V3 NOAA CDR AVHRR AOT: Daily Aerosol Optical Thickness Over Global Oceans, v03 [deprecated] image_collection ee.ImageCollection('NOAA/CDR/AVHRR/AOT/V3') NOAA 1981-01-01 2022-03-31 -180, -90, 180, 90 True aerosol, aot, atmospheric, avhrr, cdr, daily, noaa, optical, pollution https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CDR_AVHRR_AOT_V3.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_AVHRR_AOT_V3 proprietary
NOAA/CDR/AVHRR/AOT/V4 NOAA CDR AVHRR AOT: Daily Aerosol Optical Thickness Over Global Oceans, v04 image_collection ee.ImageCollection('NOAA/CDR/AVHRR/AOT/V4') NOAA 1981-01-01 2024-09-30 -180, -90, 180, 90 False aerosol, aot, atmospheric, avhrr, cdr, daily, noaa, optical, pollution https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CDR_AVHRR_AOT_V4.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_AVHRR_AOT_V4 proprietary
@@ -616,38 +616,38 @@ NOAA/CDR/AVHRR/SR/V5 NOAA CDR AVHRR: Surface Reflectance, Version 5 image_collec
NOAA/CDR/GRIDSAT-B1/V2 NOAA CDR GRIDSAT-B1: Geostationary IR Channel Brightness Temperature image_collection ee.ImageCollection('NOAA/CDR/GRIDSAT-B1/V2') NOAA 1980-01-01 2024-03-31 -180, -90, 180, 90 False brightness, cdr, fundamental, geostationary, infrared, isccp, noaa, reflectance, sr https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CDR_GRIDSAT-B1_V2.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_GRIDSAT-B1_V2 proprietary
NOAA/CDR/HEAT_FLUXES/V2 NOAA CDR: Ocean Heat Fluxes, Version 2 image_collection ee.ImageCollection('NOAA/CDR/HEAT_FLUXES/V2') NOAA 1988-01-01 2021-08-31 -180, -90, 180, 90 False atmospheric, cdr, flux, heat, hourly, noaa, ocean, osb https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CDR_HEAT_FLUXES_V2.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_HEAT_FLUXES_V2 proprietary
NOAA/CDR/OISST/V2 NOAA CDR OISST v2: Optimum Interpolation Sea Surface Temperature [deprecated] image_collection ee.ImageCollection('NOAA/CDR/OISST/V2') NOAA 1981-09-01 2020-04-26 -180, -90, 180, 90 True avhrr, cdr, daily, ice, noaa, ocean, oisst, real_time, sst, temperature https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CDR_OISST_V2.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_OISST_V2 proprietary
-NOAA/CDR/OISST/V2_1 NOAA CDR OISST v02r01: Optimum Interpolation Sea Surface Temperature image_collection ee.ImageCollection('NOAA/CDR/OISST/V2_1') NOAA 1981-09-01 2024-12-08 -180, -90, 180, 90 False avhrr, cdr, daily, ice, noaa, ocean, oisst, real_time, sst, temperature https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CDR_OISST_V2_1.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_OISST_V2_1 proprietary
+NOAA/CDR/OISST/V2_1 NOAA CDR OISST v02r01: Optimum Interpolation Sea Surface Temperature image_collection ee.ImageCollection('NOAA/CDR/OISST/V2_1') NOAA 1981-09-01 2024-12-09 -180, -90, 180, 90 False avhrr, cdr, daily, ice, noaa, ocean, oisst, real_time, sst, temperature https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CDR_OISST_V2_1.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_OISST_V2_1 proprietary
NOAA/CDR/PATMOSX/V53 NOAA CDR PATMOSX: Cloud Properties, Reflectance, and Brightness Temperatures, Version 5.3 image_collection ee.ImageCollection('NOAA/CDR/PATMOSX/V53') NOAA 1979-01-01 2022-01-01 -180, -90, 180, 90 False atmospheric, avhrr, brightness, cdr, cloud, metop, noaa, optical, poes, reflectance, temperature https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CDR_PATMOSX_V53.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_PATMOSX_V53 proprietary
NOAA/CDR/SST_PATHFINDER/V53 NOAA AVHRR Pathfinder Version 5.3 Collated Global 4km Sea Surface Temperature image_collection ee.ImageCollection('NOAA/CDR/SST_PATHFINDER/V53') NOAA 1981-08-24 2023-12-30 -180, -90, 180, 90 False avhrr, noaa, pathfinder, sea_ice, sst, temperature, wind https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CDR_SST_PATHFINDER_V53.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_SST_PATHFINDER_V53 proprietary
NOAA/CDR/SST_WHOI/V2 NOAA CDR WHOI: Sea Surface Temperature, Version 2 image_collection ee.ImageCollection('NOAA/CDR/SST_WHOI/V2') NOAA 1988-01-01 2021-08-31 -180, -90, 180, 90 False atmospheric, cdr, hourly, noaa, ocean, oisst, osb, sst, whoi https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CDR_SST_WHOI_V2.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_SST_WHOI_V2 proprietary
-NOAA/CFSR CFSR: Climate Forecast System Reanalysis image_collection ee.ImageCollection('NOAA/CFSR') NOAA NWS National Centers for Environmental Prediction (NCEP) 2018-12-13 2024-12-10 -180, -90, 180, 90 False climate, daylight, flux, forecast, geophysical, ncep, noaa, nws, precipitation, radiation, snow, temperature, vapor, water, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CFSR.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CFSR proprietary
-NOAA/CFSV2/FOR6H CFSV2: NCEP Climate Forecast System Version 2, 6-Hourly Products image_collection ee.ImageCollection('NOAA/CFSV2/FOR6H') NOAA NWS National Centers for Environmental Prediction (NCEP) 1979-01-01 2024-12-10 -180, -90, 180, 90 False climate, daylight, flux, forecast, geophysical, ncep, noaa, nws, precipitation, radiation, snow, temperature, vapor, water, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CFSV2_FOR6H.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CFSV2_FOR6H proprietary
-NOAA/CPC/Precipitation CPC Global Unified Gauge-Based Analysis of Daily Precipitation image_collection ee.ImageCollection('NOAA/CPC/Precipitation') NOAA Physical Sciences Laboratory 2006-01-01 2024-12-08 -180, -90, 180, 90 False daily, noaa, precipitation, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CPC_Precipitation.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CPC_Precipitation proprietary
-NOAA/CPC/Temperature CPC Global Unified Temperature image_collection ee.ImageCollection('NOAA/CPC/Temperature') NOAA Physical Sciences Laboratory 1979-01-01 2024-12-09 -180, -90, 180, 90 False daily, noaa, precipitation, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CPC_Temperature.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CPC_Temperature proprietary
+NOAA/CFSR CFSR: Climate Forecast System Reanalysis image_collection ee.ImageCollection('NOAA/CFSR') NOAA NWS National Centers for Environmental Prediction (NCEP) 2018-12-13 2024-12-11 -180, -90, 180, 90 False climate, daylight, flux, forecast, geophysical, ncep, noaa, nws, precipitation, radiation, snow, temperature, vapor, water, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CFSR.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CFSR proprietary
+NOAA/CFSV2/FOR6H CFSV2: NCEP Climate Forecast System Version 2, 6-Hourly Products image_collection ee.ImageCollection('NOAA/CFSV2/FOR6H') NOAA NWS National Centers for Environmental Prediction (NCEP) 1979-01-01 2024-12-11 -180, -90, 180, 90 False climate, daylight, flux, forecast, geophysical, ncep, noaa, nws, precipitation, radiation, snow, temperature, vapor, water, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CFSV2_FOR6H.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CFSV2_FOR6H proprietary
+NOAA/CPC/Precipitation CPC Global Unified Gauge-Based Analysis of Daily Precipitation image_collection ee.ImageCollection('NOAA/CPC/Precipitation') NOAA Physical Sciences Laboratory 2006-01-01 2024-12-09 -180, -90, 180, 90 False daily, noaa, precipitation, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CPC_Precipitation.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CPC_Precipitation proprietary
+NOAA/CPC/Temperature CPC Global Unified Temperature image_collection ee.ImageCollection('NOAA/CPC/Temperature') NOAA Physical Sciences Laboratory 1979-01-01 2024-12-10 -180, -90, 180, 90 False daily, noaa, precipitation, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CPC_Temperature.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CPC_Temperature proprietary
NOAA/DMSP-OLS/CALIBRATED_LIGHTS_V4 DMSP OLS: Global Radiance-Calibrated Nighttime Lights Version 4, Defense Meteorological Program Operational Linescan System image_collection ee.ImageCollection('NOAA/DMSP-OLS/CALIBRATED_LIGHTS_V4') Earth Observation Group, Payne Institute for Public Policy, Colorado School of Mines 1996-03-16 2011-07-31 -180, -65, 180, 75 False calibrated, dmsp, eog, imagery, lights, nighttime, ols, radiance, visible, yearly https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_DMSP-OLS_CALIBRATED_LIGHTS_V4.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_DMSP-OLS_CALIBRATED_LIGHTS_V4 proprietary
NOAA/DMSP-OLS/NIGHTTIME_LIGHTS DMSP OLS: Nighttime Lights Time Series Version 4, Defense Meteorological Program Operational Linescan System image_collection ee.ImageCollection('NOAA/DMSP-OLS/NIGHTTIME_LIGHTS') Earth Observation Group, Payne Institute for Public Policy, Colorado School of Mines 1992-01-01 2014-01-01 -180, -65, 180, 75 False dmsp, eog, imagery, lights, nighttime, ols, visible, yearly https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_DMSP-OLS_NIGHTTIME_LIGHTS.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_DMSP-OLS_NIGHTTIME_LIGHTS proprietary
-NOAA/GFS0P25 GFS: Global Forecast System 384-Hour Predicted Atmosphere Data image_collection ee.ImageCollection('NOAA/GFS0P25') NOAA/NCEP/EMC 2015-07-01 2024-12-10 -180, -90, 180, 90 False climate, cloud, emc, flux, forecast, geophysical, gfs, humidity, ncep, noaa, precipitation, radiation, temperature, vapor, weather, wind https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GFS0P25.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GFS0P25 proprietary
-NOAA/GOES/16/FDCC GOES-16 FDCC Series ABI Level 2 Fire/Hot Spot Characterization CONUS image_collection ee.ImageCollection('NOAA/GOES/16/FDCC') NOAA 2017-05-24 2024-12-10 -152.11, 14, -49.18, 56.77 False abi, climate, fdc, fire, goes, goes_16, goes_east, goes_r, hotspot, nesdis, noaa, ospo, wildfire https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_16_FDCC.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_16_FDCC proprietary
-NOAA/GOES/16/FDCF GOES-16 FDCF Series ABI Level 2 Fire/Hot Spot Characterization Full Disk image_collection ee.ImageCollection('NOAA/GOES/16/FDCF') NOAA 2017-05-24 2024-12-10 -180, -90, 180, 90 False abi, climate, fdc, fire, goes, goes_16, goes_east, goes_r, hotspot, nesdis, noaa, ospo, wildfire https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_16_FDCF.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_16_FDCF proprietary
-NOAA/GOES/16/MCMIPC GOES-16 MCMIPC Series ABI Level 2 Cloud and Moisture Imagery CONUS image_collection ee.ImageCollection('NOAA/GOES/16/MCMIPC') NOAA 2017-07-10 2024-12-10 -152.11, 14, -49.18, 56.77 False abi, climate, goes, goes_16, goes_east, goes_r, mcmip, nesdis, noaa, ospo, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_16_MCMIPC.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_16_MCMIPC proprietary
-NOAA/GOES/16/MCMIPF GOES-16 MCMIPF Series ABI Level 2 Cloud and Moisture Imagery Full Disk image_collection ee.ImageCollection('NOAA/GOES/16/MCMIPF') NOAA 2017-07-10 2024-12-10 -180, -90, 180, 90 False abi, climate, goes, goes_16, goes_east, goes_r, mcmip, nesdis, noaa, ospo, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_16_MCMIPF.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_16_MCMIPF proprietary
-NOAA/GOES/16/MCMIPM GOES-16 MCMIPM Series ABI Level 2 Cloud and Moisture Imagery Mesoscale image_collection ee.ImageCollection('NOAA/GOES/16/MCMIPM') NOAA 2017-07-10 2024-12-10 -180, -90, 180, 90 False abi, climate, goes, goes_16, goes_east, goes_r, mcmip, nesdis, noaa, ospo, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_16_MCMIPM.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_16_MCMIPM proprietary
+NOAA/GFS0P25 GFS: Global Forecast System 384-Hour Predicted Atmosphere Data image_collection ee.ImageCollection('NOAA/GFS0P25') NOAA/NCEP/EMC 2015-07-01 2024-12-11 -180, -90, 180, 90 False climate, cloud, emc, flux, forecast, geophysical, gfs, humidity, ncep, noaa, precipitation, radiation, temperature, vapor, weather, wind https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GFS0P25.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GFS0P25 proprietary
+NOAA/GOES/16/FDCC GOES-16 FDCC Series ABI Level 2 Fire/Hot Spot Characterization CONUS image_collection ee.ImageCollection('NOAA/GOES/16/FDCC') NOAA 2017-05-24 2024-12-11 -152.11, 14, -49.18, 56.77 False abi, climate, fdc, fire, goes, goes_16, goes_east, goes_r, hotspot, nesdis, noaa, ospo, wildfire https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_16_FDCC.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_16_FDCC proprietary
+NOAA/GOES/16/FDCF GOES-16 FDCF Series ABI Level 2 Fire/Hot Spot Characterization Full Disk image_collection ee.ImageCollection('NOAA/GOES/16/FDCF') NOAA 2017-05-24 2024-12-11 -180, -90, 180, 90 False abi, climate, fdc, fire, goes, goes_16, goes_east, goes_r, hotspot, nesdis, noaa, ospo, wildfire https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_16_FDCF.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_16_FDCF proprietary
+NOAA/GOES/16/MCMIPC GOES-16 MCMIPC Series ABI Level 2 Cloud and Moisture Imagery CONUS image_collection ee.ImageCollection('NOAA/GOES/16/MCMIPC') NOAA 2017-07-10 2024-12-11 -152.11, 14, -49.18, 56.77 False abi, climate, goes, goes_16, goes_east, goes_r, mcmip, nesdis, noaa, ospo, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_16_MCMIPC.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_16_MCMIPC proprietary
+NOAA/GOES/16/MCMIPF GOES-16 MCMIPF Series ABI Level 2 Cloud and Moisture Imagery Full Disk image_collection ee.ImageCollection('NOAA/GOES/16/MCMIPF') NOAA 2017-07-10 2024-12-11 -180, -90, 180, 90 False abi, climate, goes, goes_16, goes_east, goes_r, mcmip, nesdis, noaa, ospo, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_16_MCMIPF.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_16_MCMIPF proprietary
+NOAA/GOES/16/MCMIPM GOES-16 MCMIPM Series ABI Level 2 Cloud and Moisture Imagery Mesoscale image_collection ee.ImageCollection('NOAA/GOES/16/MCMIPM') NOAA 2017-07-10 2024-12-11 -180, -90, 180, 90 False abi, climate, goes, goes_16, goes_east, goes_r, mcmip, nesdis, noaa, ospo, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_16_MCMIPM.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_16_MCMIPM proprietary
NOAA/GOES/17/FDCC GOES-17 FDCC Series ABI Level 2 Fire/Hot Spot Characterization CONUS image_collection ee.ImageCollection('NOAA/GOES/17/FDCC') NOAA 2018-08-27 2023-01-10 -180, 14.57, 180, 53.51 False abi, climate, fdc, fire, goes, goes_17, goes_s, hotspot, nesdis, noaa, ospo, wildfire https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_17_FDCC.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_17_FDCC proprietary
NOAA/GOES/17/FDCF GOES-17 FDCF Series ABI Level 2 Fire/Hot Spot Characterization Full Disk image_collection ee.ImageCollection('NOAA/GOES/17/FDCF') NOAA 2018-08-27 2023-01-10 -180, -90, 180, 90 False abi, climate, fdc, fire, goes, goes_17, goes_s, hotspot, nesdis, noaa, ospo, wildfire https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_17_FDCF.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_17_FDCF proprietary
NOAA/GOES/17/MCMIPC GOES-17 MCMIPC Series ABI Level 2 Cloud and Moisture Imagery CONUS image_collection ee.ImageCollection('NOAA/GOES/17/MCMIPC') NOAA 2018-12-04 2023-01-10 -180, 14.57, 180, 53.51 False abi, climate, goes, goes_17, goes_s, mcmip, nesdis, noaa, ospo, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_17_MCMIPC.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_17_MCMIPC proprietary
NOAA/GOES/17/MCMIPF GOES-17 MCMIPF Series ABI Level 2 Cloud and Moisture Imagery Full Disk image_collection ee.ImageCollection('NOAA/GOES/17/MCMIPF') NOAA 2018-12-04 2023-01-10 -180, -90, 180, 90 False abi, climate, goes, goes_17, goes_s, mcmip, nesdis, noaa, ospo, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_17_MCMIPF.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_17_MCMIPF proprietary
NOAA/GOES/17/MCMIPM GOES-17 MCMIPM Series ABI Level 2 Cloud and Moisture Imagery Full Disk image_collection ee.ImageCollection('NOAA/GOES/17/MCMIPM') NOAA 2018-12-04 2023-01-10 -180, -90, 180, 90 False abi, climate, goes, goes_17, goes_s, mcmip, nesdis, noaa, ospo, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_17_MCMIPM.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_17_MCMIPM proprietary
-NOAA/GOES/18/FDCC GOES-18 FDCC Series ABI Level 2 Fire/Hot Spot Characterization CONUS image_collection ee.ImageCollection('NOAA/GOES/18/FDCC') NOAA 2022-10-13 2024-12-10 -180, 14.57, 180, 53.51 False abi, climate, fdc, fire, goes, goes_18, goes_t, goes_west, hotspot, nesdis, noaa, ospo, wildfire https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_18_FDCC.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_18_FDCC proprietary
-NOAA/GOES/18/FDCF GOES-18 FDCF Series ABI Level 2 Fire/Hot Spot Characterization Full Disk image_collection ee.ImageCollection('NOAA/GOES/18/FDCF') NOAA 2022-10-13 2024-12-10 -180, -90, 180, 90 False abi, climate, fdc, fire, goes, goes_18, goes_t, goes_west, hotspot, nesdis, noaa, ospo, wildfire https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_18_FDCF.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_18_FDCF proprietary
-NOAA/GOES/18/MCMIPC GOES-18 MCMIPC Series ABI Level 2 Cloud and Moisture Imagery CONUS image_collection ee.ImageCollection('NOAA/GOES/18/MCMIPC') NOAA 2018-12-04 2024-12-10 -180, 14.57, 180, 53.51 False abi, climate, goes, goes_18, goes_t, goes_west, mcmip, nesdis, noaa, ospo, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_18_MCMIPC.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_18_MCMIPC proprietary
-NOAA/GOES/18/MCMIPF GOES-18 MCMIPF Series ABI Level 2 Cloud and Moisture Imagery Full Disk image_collection ee.ImageCollection('NOAA/GOES/18/MCMIPF') NOAA 2018-12-04 2024-12-10 -180, -90, 180, 90 False abi, climate, goes, goes_18, goes_t, goes_west, mcmip, nesdis, noaa, ospo, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_18_MCMIPF.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_18_MCMIPF proprietary
-NOAA/GOES/18/MCMIPM GOES-18 MCMIPM Series ABI Level 2 Cloud and Moisture Imagery Full Disk image_collection ee.ImageCollection('NOAA/GOES/18/MCMIPM') NOAA 2018-12-04 2024-12-10 -180, -90, 180, 90 False abi, climate, goes, goes_18, goes_t, goes_west, mcmip, nesdis, noaa, ospo, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_18_MCMIPM.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_18_MCMIPM proprietary
+NOAA/GOES/18/FDCC GOES-18 FDCC Series ABI Level 2 Fire/Hot Spot Characterization CONUS image_collection ee.ImageCollection('NOAA/GOES/18/FDCC') NOAA 2022-10-13 2024-12-11 -180, 14.57, 180, 53.51 False abi, climate, fdc, fire, goes, goes_18, goes_t, goes_west, hotspot, nesdis, noaa, ospo, wildfire https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_18_FDCC.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_18_FDCC proprietary
+NOAA/GOES/18/FDCF GOES-18 FDCF Series ABI Level 2 Fire/Hot Spot Characterization Full Disk image_collection ee.ImageCollection('NOAA/GOES/18/FDCF') NOAA 2022-10-13 2024-12-11 -180, -90, 180, 90 False abi, climate, fdc, fire, goes, goes_18, goes_t, goes_west, hotspot, nesdis, noaa, ospo, wildfire https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_18_FDCF.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_18_FDCF proprietary
+NOAA/GOES/18/MCMIPC GOES-18 MCMIPC Series ABI Level 2 Cloud and Moisture Imagery CONUS image_collection ee.ImageCollection('NOAA/GOES/18/MCMIPC') NOAA 2018-12-04 2024-12-11 -180, 14.57, 180, 53.51 False abi, climate, goes, goes_18, goes_t, goes_west, mcmip, nesdis, noaa, ospo, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_18_MCMIPC.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_18_MCMIPC proprietary
+NOAA/GOES/18/MCMIPF GOES-18 MCMIPF Series ABI Level 2 Cloud and Moisture Imagery Full Disk image_collection ee.ImageCollection('NOAA/GOES/18/MCMIPF') NOAA 2018-12-04 2024-12-11 -180, -90, 180, 90 False abi, climate, goes, goes_18, goes_t, goes_west, mcmip, nesdis, noaa, ospo, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_18_MCMIPF.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_18_MCMIPF proprietary
+NOAA/GOES/18/MCMIPM GOES-18 MCMIPM Series ABI Level 2 Cloud and Moisture Imagery Full Disk image_collection ee.ImageCollection('NOAA/GOES/18/MCMIPM') NOAA 2018-12-04 2024-12-11 -180, -90, 180, 90 False abi, climate, goes, goes_18, goes_t, goes_west, mcmip, nesdis, noaa, ospo, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_GOES_18_MCMIPM.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_18_MCMIPM proprietary
NOAA/IBTrACS/v4 International Best Track Archive for Climate Stewardship Project table ee.FeatureCollection('NOAA/IBTrACS/v4') NOAA NCEI 1842-10-25 2024-05-19 -180, 0.4, 180, 63.1 False hurricane, noaa, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_IBTrACS_v4.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_IBTrACS_v4 proprietary
NOAA/NCEP_DOE_RE2/total_cloud_coverage NCEP-DOE Reanalysis 2 (Gaussian Grid), Total Cloud Coverage image_collection ee.ImageCollection('NOAA/NCEP_DOE_RE2/total_cloud_coverage') NOAA 1979-01-01 2024-11-30 -180, -90, 180, 90 False atmosphere, climate, cloud, geophysical, ncep, noaa, reanalysis https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_NCEP_DOE_RE2_total_cloud_coverage.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_NCEP_DOE_RE2_total_cloud_coverage proprietary
NOAA/NGDC/ETOPO1 ETOPO1: Global 1 Arc-Minute Elevation image ee.Image('NOAA/NGDC/ETOPO1') NOAA 2008-08-01 2008-08-01 -180, -90, 180, 90 False bedrock, dem, elevation, geophysical, ice, noaa, topography https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_NGDC_ETOPO1.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_NGDC_ETOPO1 proprietary
NOAA/NHC/HURDAT2/atlantic NOAA NHC HURDAT2 Atlantic Hurricane Catalog table ee.FeatureCollection('NOAA/NHC/HURDAT2/atlantic') NOAA NHC 1851-06-25 2018-11-04 -109.5, 7.2, 63, 81 False hurricane, nhc, noaa, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_NHC_HURDAT2_atlantic.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_NHC_HURDAT2_atlantic proprietary
NOAA/NHC/HURDAT2/pacific NOAA NHC HURDAT2 Pacific Hurricane Catalog table ee.FeatureCollection('NOAA/NHC/HURDAT2/pacific') NOAA NHC 1949-06-11 2018-11-09 -180, 0.4, 180, 63.1 False hurricane, nhc, noaa, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_NHC_HURDAT2_pacific.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_NHC_HURDAT2_pacific proprietary
-NOAA/NWS/RTMA RTMA: Real-Time Mesoscale Analysis image_collection ee.ImageCollection('NOAA/NWS/RTMA') NOAA/NWS 2011-01-01 2024-12-10 -130.17, 20.15, -60.81, 52.91 False climate, cloud, geophysical, humidity, noaa, nws, precipitation, pressure, rtma, surface, temperature, visibility, weather, wind https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_NWS_RTMA.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_NWS_RTMA proprietary
+NOAA/NWS/RTMA RTMA: Real-Time Mesoscale Analysis image_collection ee.ImageCollection('NOAA/NWS/RTMA') NOAA/NWS 2011-01-01 2024-12-11 -130.17, 20.15, -60.81, 52.91 False climate, cloud, geophysical, humidity, noaa, nws, precipitation, pressure, rtma, surface, temperature, visibility, weather, wind https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_NWS_RTMA.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_NWS_RTMA proprietary
NOAA/PERSIANN-CDR PERSIANN-CDR: Precipitation Estimation From Remotely Sensed Information Using Artificial Neural Networks-Climate Data Record image_collection ee.ImageCollection('NOAA/PERSIANN-CDR') NOAA NCDC 1983-01-01 2024-03-31 -180, -60, 180, 60 False cdr, climate, geophysical, ncdc, noaa, persiann, precipitation, weather https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_PERSIANN-CDR.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_PERSIANN-CDR proprietary
NOAA/VIIRS/001/VNP09GA VNP09GA: VIIRS Surface Reflectance Daily 500m and 1km [deprecated] image_collection ee.ImageCollection('NOAA/VIIRS/001/VNP09GA') NASA LP DAAC at the USGS EROS Center 2012-01-19 2024-06-16 -180, -90, 180, 90 True daily, nasa, noaa, npp, reflectance, sr, viirs, vnp09ga https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_VIIRS_001_VNP09GA.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_001_VNP09GA proprietary
NOAA/VIIRS/001/VNP09H1 VNP09H1: VIIRS Surface Reflectance 8-Day L3 Global 500m [deprecated] image_collection ee.ImageCollection('NOAA/VIIRS/001/VNP09H1') NASA LP DAAC at the USGS EROS Center 2012-01-19 2024-06-09 -180, -90, 180, 90 True daily, nasa, noaa, npp, reflectance, sr, viirs https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_VIIRS_001_VNP09H1.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_001_VNP09H1 proprietary
@@ -668,7 +668,7 @@ NOAA/VIIRS/DNB/MONTHLY_V1/VCMCFG VIIRS Nighttime Day/Night Band Composites Versi
NOAA/VIIRS/DNB/MONTHLY_V1/VCMSLCFG VIIRS Stray Light Corrected Nighttime Day/Night Band Composites Version 1 image_collection ee.ImageCollection('NOAA/VIIRS/DNB/MONTHLY_V1/VCMSLCFG') Earth Observation Group, Payne Institute for Public Policy, Colorado School of Mines 2014-01-01 2024-07-01 -180, -65, 180, 75 False dnb, eog, lights, monthly, nighttime, noaa, stray_light, viirs, visible https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_VIIRS_DNB_MONTHLY_V1_VCMSLCFG.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_DNB_MONTHLY_V1_VCMSLCFG proprietary
NRCan/CDEM Canadian Digital Elevation Model image_collection ee.ImageCollection('NRCan/CDEM') NRCan 1945-01-01 2011-01-01 -142, 41, -52, 84 False canada, cdem, dem, elevation, geophysical, nrcan, topography https://storage.googleapis.com/earthengine-stac/catalog/NRCan/NRCan_CDEM.json https://developers.google.com/earth-engine/datasets/catalog/NRCan_CDEM OGL-Canada-2.0
Netherlands/Beeldmateriaal/LUCHTFOTO_RGB Netherlands orthophotos image_collection ee.ImageCollection('Netherlands/Beeldmateriaal/LUCHTFOTO_RGB') Beeldmateriaal Nederland 2021-01-01 2022-12-31 3.2, 50.75, 7.22, 53.7 False orthophoto, rgb, netherlands https://storage.googleapis.com/earthengine-stac/catalog/Netherlands/Netherlands_Beeldmateriaal_LUCHTFOTO_RGB.json https://developers.google.com/earth-engine/datasets/catalog/Netherlands_Beeldmateriaal_LUCHTFOTO_RGB CC-BY-4.0
-OREGONSTATE/PRISM/AN81d PRISM Daily Spatial Climate Dataset AN81d image_collection ee.ImageCollection('OREGONSTATE/PRISM/AN81d') PRISM / OREGONSTATE 1981-01-01 2024-12-07 -125, 24, -66, 50 False climate, daily, geophysical, oregonstate, precipitation, pressure, prism, temperature, vapor, weather https://storage.googleapis.com/earthengine-stac/catalog/OREGONSTATE/OREGONSTATE_PRISM_AN81d.json https://developers.google.com/earth-engine/datasets/catalog/OREGONSTATE_PRISM_AN81d proprietary
+OREGONSTATE/PRISM/AN81d PRISM Daily Spatial Climate Dataset AN81d image_collection ee.ImageCollection('OREGONSTATE/PRISM/AN81d') PRISM / OREGONSTATE 1981-01-01 2024-12-08 -125, 24, -66, 50 False climate, daily, geophysical, oregonstate, precipitation, pressure, prism, temperature, vapor, weather https://storage.googleapis.com/earthengine-stac/catalog/OREGONSTATE/OREGONSTATE_PRISM_AN81d.json https://developers.google.com/earth-engine/datasets/catalog/OREGONSTATE_PRISM_AN81d proprietary
OREGONSTATE/PRISM/AN81m PRISM Monthly Spatial Climate Dataset AN81m image_collection ee.ImageCollection('OREGONSTATE/PRISM/AN81m') PRISM / OREGONSTATE 1895-01-01 2024-11-01 -125, 24, -66, 50 False climate, geophysical, monthly, oregonstate, precipitation, pressure, prism, temperature, vapor, weather https://storage.googleapis.com/earthengine-stac/catalog/OREGONSTATE/OREGONSTATE_PRISM_AN81m.json https://developers.google.com/earth-engine/datasets/catalog/OREGONSTATE_PRISM_AN81m proprietary
OREGONSTATE/PRISM/Norm81m PRISM Long-Term Average Climate Dataset Norm81m [deprecated] image_collection ee.ImageCollection('OREGONSTATE/PRISM/Norm81m') PRISM / OREGONSTATE 1981-01-01 2010-12-31 -125, 24, -66, 50 True 30_year, climate, geophysical, oregonstate, precipitation, pressure, prism, temperature, vapor, weather https://storage.googleapis.com/earthengine-stac/catalog/OREGONSTATE/OREGONSTATE_PRISM_Norm81m.json https://developers.google.com/earth-engine/datasets/catalog/OREGONSTATE_PRISM_Norm81m proprietary
OREGONSTATE/PRISM/Norm91m PRISM Long-Term Average Climate Dataset Norm91m image_collection ee.ImageCollection('OREGONSTATE/PRISM/Norm91m') PRISM / OREGONSTATE 1991-01-01 2020-12-31 -125, 24, -66, 50 False 30_year, climate, geophysical, oregonstate, precipitation, pressure, prism, temperature, vapor, weather https://storage.googleapis.com/earthengine-stac/catalog/OREGONSTATE/OREGONSTATE_PRISM_Norm91m.json https://developers.google.com/earth-engine/datasets/catalog/OREGONSTATE_PRISM_Norm91m proprietary
@@ -731,7 +731,7 @@ TIGER/2018/States TIGER: US Census States 2018 table ee.FeatureCollection('TIGER
TIGER/2020/BG TIGER: US Census Block Groups (BG) 2020 table ee.FeatureCollection('TIGER/2020/BG') United States Census Bureau 2020-01-01 2020-01-02 -180, -14.69, -64.435, 71.567 False census, city, neighborhood, tiger, urban, us https://storage.googleapis.com/earthengine-stac/catalog/TIGER/TIGER_2020_BG.json https://developers.google.com/earth-engine/datasets/catalog/TIGER_2020_BG proprietary
TIGER/2020/TABBLOCK20 TIGER: 2020 Tabulation (Census) Block table ee.FeatureCollection('TIGER/2020/TABBLOCK20') United States Census Bureau 2020-01-01 2020-01-02 -180, -14.69, -64.435, 71.567 False census, city, neighborhood, tiger, urban, us https://storage.googleapis.com/earthengine-stac/catalog/TIGER/TIGER_2020_TABBLOCK20.json https://developers.google.com/earth-engine/datasets/catalog/TIGER_2020_TABBLOCK20 proprietary
TIGER/2020/TRACT TIGER: US Census Tracts table ee.FeatureCollection('TIGER/2020/TRACT') United States Census Bureau 2020-01-01 2020-01-02 -180, -14.69, -64.435, 71.567 False census, city, neighborhood, tiger, urban, us https://storage.googleapis.com/earthengine-stac/catalog/TIGER/TIGER_2020_TRACT.json https://developers.google.com/earth-engine/datasets/catalog/TIGER_2020_TRACT proprietary
-TOMS/MERGED TOMS and OMI Merged Ozone Data image_collection ee.ImageCollection('TOMS/MERGED') NASA / GES DISC 1978-11-01 2024-12-08 -180, -90, 180, 90 False atmosphere, aura, climate, geophysical, ges_disc, goddard, nasa, omi, ozone, toms https://storage.googleapis.com/earthengine-stac/catalog/TOMS/TOMS_MERGED.json https://developers.google.com/earth-engine/datasets/catalog/TOMS_MERGED proprietary
+TOMS/MERGED TOMS and OMI Merged Ozone Data image_collection ee.ImageCollection('TOMS/MERGED') NASA / GES DISC 1978-11-01 2024-12-09 -180, -90, 180, 90 False atmosphere, aura, climate, geophysical, ges_disc, goddard, nasa, omi, ozone, toms https://storage.googleapis.com/earthengine-stac/catalog/TOMS/TOMS_MERGED.json https://developers.google.com/earth-engine/datasets/catalog/TOMS_MERGED proprietary
TRMM/3B42 TRMM 3B42: 3-Hourly Precipitation Estimates image_collection ee.ImageCollection('TRMM/3B42') NASA GES DISC at NASA Goddard Space Flight Center 1998-01-01 2019-12-31 -180, -50, 180, 50 False 3_hourly, climate, geophysical, jaxa, nasa, precipitation, rainfall, trmm, weather https://storage.googleapis.com/earthengine-stac/catalog/TRMM/TRMM_3B42.json https://developers.google.com/earth-engine/datasets/catalog/TRMM_3B42 proprietary
TRMM/3B43V7 TRMM 3B43: Monthly Precipitation Estimates image_collection ee.ImageCollection('TRMM/3B43V7') NASA GES DISC at NASA Goddard Space Flight Center 1998-01-01 2019-12-01 -180, -50, 180, 50 False climate, geophysical, jaxa, nasa, precipitation, rainfall, trmm, weather https://storage.googleapis.com/earthengine-stac/catalog/TRMM/TRMM_3B43V7.json https://developers.google.com/earth-engine/datasets/catalog/TRMM_3B43V7 proprietary
TUBerlin/BigEarthNet/v1 TUBerlin/BigEarthNet/v1 image_collection ee.ImageCollection('TUBerlin/BigEarthNet/v1') BigEarthNet 2017-06-01 2018-05-31 -9, 36.9, 31.6, 68.1 False chip, copernicus, corine_derived, label, ml, sentinel, tile https://storage.googleapis.com/earthengine-stac/catalog/TUBerlin/TUBerlin_BigEarthNet_v1.json https://developers.google.com/earth-engine/datasets/catalog/TUBerlin_BigEarthNet_v1 proprietary
@@ -894,7 +894,7 @@ projects/forestdatapartnership/assets/community_forests/ForestPersistence_2020 F
projects/forestdatapartnership/assets/community_palm/20240312 Palm Probability v20240312 [deprecated] image_collection ee.ImageCollection('projects/forestdatapartnership/assets/community_palm/20240312') Produced by Google for the Forest Data Partnership 2020-01-01 2023-12-31 92.99, -11.94, 132.71, 11.71 True deforestation, eudr, biodiversity, conservation, crop, landuse, palm, plantation https://storage.googleapis.com/earthengine-stac/catalog/forestdatapartnership/projects_forestdatapartnership_assets_community_palm_20240312.json https://developers.google.com/earth-engine/datasets/catalog/projects_forestdatapartnership_assets_community_palm_20240312 CC-BY-4.0
projects/forestdatapartnership/assets/palm/model_2024a Palm Probability model 2024a image_collection ee.ImageCollection('projects/forestdatapartnership/assets/palm/model_2024a') Produced by Google for the Forest Data Partnership 2020-01-01 2023-12-31 -180, -90, 180, 90 False eudr, biodiversity, conservation, crop, landuse, palm, plantation https://storage.googleapis.com/earthengine-stac/catalog/forestdatapartnership/projects_forestdatapartnership_assets_palm_model_2024a.json https://developers.google.com/earth-engine/datasets/catalog/projects_forestdatapartnership_assets_palm_model_2024a CC-BY-NC-4.0
projects/forestdatapartnership/assets/rubber/model_2024a Rubber Tree Probability model 2024a image_collection ee.ImageCollection('projects/forestdatapartnership/assets/rubber/model_2024a') Produced by Google for the Forest Data Partnership 2020-01-01 2023-12-31 -180, -90, 180, 90 False eudr, biodiversity, conservation, crop, landuse, rubber, plantation, pre_review https://storage.googleapis.com/earthengine-stac/catalog/forestdatapartnership/projects_forestdatapartnership_assets_rubber_model_2024a.json https://developers.google.com/earth-engine/datasets/catalog/projects_forestdatapartnership_assets_rubber_model_2024a CC-BY-NC-4.0
-projects/gcp-public-data-weathernext/assets/59572747_4_0 WeatherNext Graph Forecasts image_collection ee.ImageCollection('projects/gcp-public-data-weathernext/assets/59572747_4_0') Google 2020-01-01 2024-12-10 -180, -90, 180, 90 False weather, weathernext, forecast, temperature, precipitation, wind https://storage.googleapis.com/earthengine-stac/catalog/gcp-public-data-weathernext/projects_gcp-public-data-weathernext_assets_59572747_4_0.json https://developers.google.com/earth-engine/datasets/catalog/projects_gcp-public-data-weathernext_assets_59572747_4_0 proprietary
+projects/gcp-public-data-weathernext/assets/59572747_4_0 WeatherNext Graph Forecasts image_collection ee.ImageCollection('projects/gcp-public-data-weathernext/assets/59572747_4_0') Google 2020-01-01 2024-12-11 -180, -90, 180, 90 False weather, weathernext, forecast, temperature, precipitation, wind https://storage.googleapis.com/earthengine-stac/catalog/gcp-public-data-weathernext/projects_gcp-public-data-weathernext_assets_59572747_4_0.json https://developers.google.com/earth-engine/datasets/catalog/projects_gcp-public-data-weathernext_assets_59572747_4_0 proprietary
projects/geoscience-aus-cat/assets/NIDEM National Intertidal Digital Elevation Model 25m 1.0.0 image ee.Image('projects/geoscience-aus-cat/assets/NIDEM') Geoscience Australia 1986-08-16 2017-07-31 108.81, -44.41, 157.82, -9.13 False australia, ga, dem, landsat_derived https://storage.googleapis.com/earthengine-stac/catalog/geoscience-aus-cat/projects_geoscience-aus-cat_assets_NIDEM.json https://developers.google.com/earth-engine/datasets/catalog/projects_geoscience-aus-cat_assets_NIDEM CC-BY-4.0
projects/geoscience-aus-cat/assets/ga_ls5t_nbart_gm_cyear_3 DEA Geometric Median and Median Absolute Deviation - Landsat 5 3.1.0 image_collection ee.ImageCollection('projects/geoscience-aus-cat/assets/ga_ls5t_nbart_gm_cyear_3') Geoscience Australia 1998-01-01 2012-01-01 108.81, -44.41, 157.82, -9.13 False australia, ga, landsat_derived https://storage.googleapis.com/earthengine-stac/catalog/geoscience-aus-cat/projects_geoscience-aus-cat_assets_ga_ls5t_nbart_gm_cyear_3.json https://developers.google.com/earth-engine/datasets/catalog/projects_geoscience-aus-cat_assets_ga_ls5t_nbart_gm_cyear_3 CC-BY-4.0
projects/geoscience-aus-cat/assets/ga_ls7e_nbart_gm_cyear_3 DEA Geometric Median and Median Absolute Deviation - Landsat 7 3.1.0 image_collection ee.ImageCollection('projects/geoscience-aus-cat/assets/ga_ls7e_nbart_gm_cyear_3') Geoscience Australia 2000-01-01 2021-01-01 108.81, -44.41, 157.82, -9.13 False australia, ga, landsat_derived https://storage.googleapis.com/earthengine-stac/catalog/geoscience-aus-cat/projects_geoscience-aus-cat_assets_ga_ls7e_nbart_gm_cyear_3.json https://developers.google.com/earth-engine/datasets/catalog/projects_geoscience-aus-cat_assets_ga_ls7e_nbart_gm_cyear_3 CC-BY-4.0
@@ -905,11 +905,11 @@ projects/geoscience-aus-cat/assets/ga_ls_wo_fq_cyear_3 DEA Water Observations St
projects/global-pasture-watch/assets/ggc-30m/v1/cultiv-grassland_p GPW Annual Probabilities of Cultivated Grasslands v1 image_collection ee.ImageCollection('projects/global-pasture-watch/assets/ggc-30m/v1/cultiv-grassland_p') Land and Carbon Lab Global Pasture Watch 2000-01-01 2023-01-01 -180, -90, 180, 90 False land, landcover, landuse, global, vegetation https://storage.googleapis.com/earthengine-stac/catalog/global-pasture-watch/projects_global-pasture-watch_assets_ggc-30m_v1_cultiv-grassland_p.json https://developers.google.com/earth-engine/datasets/catalog/projects_global-pasture-watch_assets_ggc-30m_v1_cultiv-grassland_p CC-BY-4.0
projects/global-pasture-watch/assets/ggc-30m/v1/grassland_c GPW Annual Dominant Class of Grasslands v1 image_collection ee.ImageCollection('projects/global-pasture-watch/assets/ggc-30m/v1/grassland_c') Land and Carbon Lab Global Pasture Watch 2000-01-01 2023-01-01 -180, -90, 180, 90 False land, landcover, landuse, global, vegetation https://storage.googleapis.com/earthengine-stac/catalog/global-pasture-watch/projects_global-pasture-watch_assets_ggc-30m_v1_grassland_c.json https://developers.google.com/earth-engine/datasets/catalog/projects_global-pasture-watch_assets_ggc-30m_v1_grassland_c CC-BY-4.0
projects/global-pasture-watch/assets/ggc-30m/v1/nat-semi-grassland_p GPW Annual Probabilities of Natural/Semi-natural Grasslands v1 image_collection ee.ImageCollection('projects/global-pasture-watch/assets/ggc-30m/v1/nat-semi-grassland_p') Land and Carbon Lab Global Pasture Watch 2000-01-01 2023-01-01 -180, -90, 180, 90 False land, landcover, landuse, global, vegetation https://storage.googleapis.com/earthengine-stac/catalog/global-pasture-watch/projects_global-pasture-watch_assets_ggc-30m_v1_nat-semi-grassland_p.json https://developers.google.com/earth-engine/datasets/catalog/projects_global-pasture-watch_assets_ggc-30m_v1_nat-semi-grassland_p CC-BY-4.0
-projects/neon-prod-earthengine/assets/CHM/001 NEON Canopy Height Model (CHM) image_collection ee.ImageCollection('projects/neon-prod-earthengine/assets/CHM/001') NEON 2013-01-01 2023-07-03 -170, 16, -66, 73 False airborne, canopy, forest, lidar, neon, vegetation https://storage.googleapis.com/earthengine-stac/catalog/neon-prod-earthengine/projects_neon-prod-earthengine_assets_CHM_001.json https://developers.google.com/earth-engine/datasets/catalog/projects_neon-prod-earthengine_assets_CHM_001 CC0-1.0
-projects/neon-prod-earthengine/assets/DEM/001 NEON Digital Elevation Model (DEM) image_collection ee.ImageCollection('projects/neon-prod-earthengine/assets/DEM/001') NEON 2013-01-01 2023-07-06 -170, 16, -66, 73 False airborne, dem, forest, lidar, neon, vegetation https://storage.googleapis.com/earthengine-stac/catalog/neon-prod-earthengine/projects_neon-prod-earthengine_assets_DEM_001.json https://developers.google.com/earth-engine/datasets/catalog/projects_neon-prod-earthengine_assets_DEM_001 CC0-1.0
+projects/neon-prod-earthengine/assets/CHM/001 NEON Canopy Height Model (CHM) image_collection ee.ImageCollection('projects/neon-prod-earthengine/assets/CHM/001') NEON 2013-01-01 2023-07-28 -170, 16, -66, 73 False airborne, canopy, forest, lidar, neon, vegetation https://storage.googleapis.com/earthengine-stac/catalog/neon-prod-earthengine/projects_neon-prod-earthengine_assets_CHM_001.json https://developers.google.com/earth-engine/datasets/catalog/projects_neon-prod-earthengine_assets_CHM_001 CC0-1.0
+projects/neon-prod-earthengine/assets/DEM/001 NEON Digital Elevation Model (DEM) image_collection ee.ImageCollection('projects/neon-prod-earthengine/assets/DEM/001') NEON 2013-01-01 2023-07-28 -170, 16, -66, 73 False airborne, dem, forest, lidar, neon, vegetation https://storage.googleapis.com/earthengine-stac/catalog/neon-prod-earthengine/projects_neon-prod-earthengine_assets_DEM_001.json https://developers.google.com/earth-engine/datasets/catalog/projects_neon-prod-earthengine_assets_DEM_001 CC0-1.0
projects/neon-prod-earthengine/assets/HSI_REFL/001 NEON Directional Surface Reflectance image_collection ee.ImageCollection('projects/neon-prod-earthengine/assets/HSI_REFL/001') NEON 2013-01-01 2021-09-05 -170, 16, -66, 73 False airborne, forest, hyperspectral, neon, surface_reflectance, vegetation https://storage.googleapis.com/earthengine-stac/catalog/neon-prod-earthengine/projects_neon-prod-earthengine_assets_HSI_REFL_001.json https://developers.google.com/earth-engine/datasets/catalog/projects_neon-prod-earthengine_assets_HSI_REFL_001 CC0-1.0
projects/neon-prod-earthengine/assets/HSI_REFL/002 NEON Bidirectional Surface Reflectance image_collection ee.ImageCollection('projects/neon-prod-earthengine/assets/HSI_REFL/002') NEON 2013-01-01 2024-09-02 -170, 16, -66, 73 False airborne, forest, hyperspectral, neon, surface_reflectance, vegetation https://storage.googleapis.com/earthengine-stac/catalog/neon-prod-earthengine/projects_neon-prod-earthengine_assets_HSI_REFL_002.json https://developers.google.com/earth-engine/datasets/catalog/projects_neon-prod-earthengine_assets_HSI_REFL_002 proprietary
-projects/neon-prod-earthengine/assets/RGB/001 NEON RGB Camera Imagery image_collection ee.ImageCollection('projects/neon-prod-earthengine/assets/RGB/001') NEON 2013-01-01 2023-05-17 -170, 16, -66, 73 False airborne, forest, highres, neon, orthophoto, rgb, vegetation https://storage.googleapis.com/earthengine-stac/catalog/neon-prod-earthengine/projects_neon-prod-earthengine_assets_RGB_001.json https://developers.google.com/earth-engine/datasets/catalog/projects_neon-prod-earthengine_assets_RGB_001 CC0-1.0
+projects/neon-prod-earthengine/assets/RGB/001 NEON RGB Camera Imagery image_collection ee.ImageCollection('projects/neon-prod-earthengine/assets/RGB/001') NEON 2013-01-01 2023-07-28 -170, 16, -66, 73 False airborne, forest, highres, neon, orthophoto, rgb, vegetation https://storage.googleapis.com/earthengine-stac/catalog/neon-prod-earthengine/projects_neon-prod-earthengine_assets_RGB_001.json https://developers.google.com/earth-engine/datasets/catalog/projects_neon-prod-earthengine_assets_RGB_001 CC0-1.0
projects/ngis-cat/assets/DEA/NIDEM Preview National Intertidal Digital Elevation Model 25m 1.0.0 image ee.Image('projects/ngis-cat/assets/DEA/NIDEM') Geoscience Australia 1986-08-16 2017-07-31 108.81, -44.41, 157.82, -9.13 False australia, ga, dem https://storage.googleapis.com/earthengine-stac/catalog/ngis-cat/projects_ngis-cat_assets_DEA_NIDEM.json https://developers.google.com/earth-engine/datasets/catalog/projects_ngis-cat_assets_DEA_NIDEM CC-BY-4.0
projects/planet-nicfi/assets/basemaps/africa NICFI Satellite Data Program Basemaps for Tropical Forest Monitoring - Africa image_collection ee.ImageCollection('projects/planet-nicfi/assets/basemaps/africa') Planet 2015-12-01 2024-11-01 -25.5, -30.4, 58, 25.6 False basemaps, forest, nicfi, planet, sr, surface_reflectance, tropics https://storage.googleapis.com/earthengine-stac/catalog/planet-nicfi/projects_planet-nicfi_assets_basemaps_africa.json https://developers.google.com/earth-engine/datasets/catalog/projects_planet-nicfi_assets_basemaps_africa proprietary
projects/planet-nicfi/assets/basemaps/americas NICFI Satellite Data Program Basemaps for Tropical Forest Monitoring - Americas image_collection ee.ImageCollection('projects/planet-nicfi/assets/basemaps/americas') Planet 2015-12-01 2024-11-01 -118.5, -30.4, -34.5, 30.4 False basemaps, forest, nicfi, planet, sr, surface_reflectance, tropics https://storage.googleapis.com/earthengine-stac/catalog/planet-nicfi/projects_planet-nicfi_assets_basemaps_americas.json https://developers.google.com/earth-engine/datasets/catalog/projects_planet-nicfi_assets_basemaps_americas proprietary
diff --git a/nasa_cmr_catalog.json b/nasa_cmr_catalog.json
index f833584..fabcfce 100644
--- a/nasa_cmr_catalog.json
+++ b/nasa_cmr_catalog.json
@@ -15626,7 +15626,7 @@
"license": "proprietary"
},
{
- "id": "ADAM.Surface.Reflectance.Database_NA",
+ "id": "ADAM.Surface.Reflectance.Database_3.0",
"title": "ADAM Surface Reflectance Database v4.0",
"catalog": "ESA STAC Catalog",
"state_date": "2005-01-01",
@@ -15634,7 +15634,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336812-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336812-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ADAM.Surface.Reflectance.Database_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ADAM.Surface.Reflectance.Database_3.0",
"description": "ADAM enables generating typical monthly variations of the global Earth surface reflectance at 0.1\u00b0 spatial resolution (Plate Carree projection) and over the spectral range 240-4000nm. The ADAM product is made of gridded monthly mean climatologies over land and ocean surfaces, and of a companion API toolkit that enables the calculation of hyperspectral (at 1 nm resolution over the whole 240-4000 nm spectral range) and multidirectional reflectances (i.e. in any illumination/viewing geometry) depending on user choices. The ADAM climatologies that feed the ADAM calculation tools are: For ocean: monthly chlorophyll concentration derived from SeaWiFS-OrbView-2 (1999-2009); it is used to compute the water column reflectance (which shows large spectral variations in the visible, but is insignificant in the near and mid infrared). monthly wind speed derived from SeaWinds-QuikSCAT-(1999-2009); it is used to calculate the ocean glint reflectance. For land: monthly normalized surface reflectances in the 7 MODIS narrow spectral bands derived from FondsdeSol processing chain of MOD09A1 products (derived from Aqua and Terra observations), on which relies the modelling of the hyperspectral/multidirectional surface (soil/vegetation/snow) reflectance. uncertainty variance-covariance matrix for the 7 spectral bands associated to the normalized surface reflectance. For sea-ice: Sea ice pixels (masked in the original MOD09A1 products) have been accounted for by a gap-filling approach relying on the spatial-temporal distribution of sea ice coverage provided by the CryoClim climatology for year 2005.",
"license": "proprietary"
},
@@ -19163,27 +19163,27 @@
},
{
"id": "AERIALDIGI",
- "title": "Aircraft Scanners",
- "catalog": "USGS_LTA STAC Catalog",
+ "title": "Aircraft Scanners - AERIALDIGI",
+ "catalog": "CEOS_EXTRA STAC Catalog",
"state_date": "1987-10-06",
"end_date": "",
"bbox": "-180, 24, -60, 72",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566211-USGS_LTA.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566211-USGS_LTA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/USGS_LTA/collections/AERIALDIGI",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2231548706-CEOS_EXTRA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2231548706-CEOS_EXTRA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/CEOS_EXTRA/collections/AERIALDIGI",
"description": "The National Aeronautics and Space Administration (NASA) Aircraft Scanners data set contains digital imagery acquired from several multispectral scanners, including Daedalus thematic mapper simulator scanners and the thermal infrared multispectral scanner. Data are collected from selected areas over the conterminous United States, Alaska, and Hawaii by NASA ER-2 and NASA C-130B aircraft, operating from the NASA Ames Research Center in Moffett Field, California, and by NASA Learjet aircraft, operating from Stennis Space Center in Bay St. Louis, Mississippi. Limited international acquisitions also are available. In cooperation with the Jet Propulsion Laboratory and Daedalus Enterprises,Inc., NASA developed several multispectral sensors. The data acquired from these sensors supports NASA's Airborne Science and Applications Program and have been identified as precursors to the instruments scheduled to fly on Earth Observing System platforms. THEMATIC MAPPER SIMULATOR The Thematic Mapper Simulator (TMS) sensor is a line scanning device designed for a variety of Earth science applications. Flown aboard NASA ER-2 aircraft, the TMS sensor has a nominal Instantaneous Field of View of 1.25 milliradians with a ground resolution of 81 feet (25 meters) at 65,000 feet. The TMS sensor scans at a rate of 12.5 scans per second with 716 pixels per scan line. Swath width is 8.3 nautical miles (15.4 kilometers) at 65,000 feet while the scanner's Field of View is 42.5 degrees. NS-001 MULTISPECTRAL SCANNER The NS-001multispectral scanner is a line scanning device designed to simulate Landsat thematic mapper (TM) sensor performance, including a near infrared/short-wave infrared band used in applications similar to those of the TM sensor (e.g., Earth resources mapping, vegetation/land cover mapping, geologic studies). Flown aboard NASA C-130B aircraft, the NS-001 sensor has a nominal Instantaneous Field of View of 2.5 milliradians with a ground resolution of 25 feet (7.6 meters) at 10,000 feet. The sensor has a variable scan rate (10 to 100 scans per second) with 699 pixels per scan line, but the available motor drive supply restricts the maximum stable scan speed to approximately 85 revolutions per second. A scan rate of 100 revolutions per second is possible, but not probable, for short scan lines; therefore, a combination of factors, including aircraft flight requirements and maximum scan speed, prevent scanner operation below 1,500 feet. Swath width is 3.9 nautical miles (7.26 kilometers) at 10,000 feet, and the total scan angle or field of regard for the sensor is 100 degrees, plus or minus 15 degrees for roll compensation. THERMAL INFRARED MULTISPECTRAL SCANNER The Thermal Infrared Multispectral Scanner (TIMS) sensor is a line scanning device originally designed for geologic applications. Flown aboard NASA C-130B, NASA ER-2, and NASA Learjet aircraft, the TIMS sensor has a nominal Instantaneous Field of View of 2.5 milliradians with a ground resolution of 25 feet (7.6 meters) at 10,000 feet. The sensor has a selectable scan rate (7.3, 8.7, 12, or 25 scans per second) with 698 pixels per scan line. Swath width is 2.6 nautical miles (4.8 kilometers) at 10,000 feet while the scanner's Field of View is 76.56 degrees.",
"license": "proprietary"
},
{
"id": "AERIALDIGI",
- "title": "Aircraft Scanners - AERIALDIGI",
- "catalog": "CEOS_EXTRA STAC Catalog",
+ "title": "Aircraft Scanners",
+ "catalog": "USGS_LTA STAC Catalog",
"state_date": "1987-10-06",
"end_date": "",
"bbox": "-180, 24, -60, 72",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2231548706-CEOS_EXTRA.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2231548706-CEOS_EXTRA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/CEOS_EXTRA/collections/AERIALDIGI",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566211-USGS_LTA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566211-USGS_LTA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/USGS_LTA/collections/AERIALDIGI",
"description": "The National Aeronautics and Space Administration (NASA) Aircraft Scanners data set contains digital imagery acquired from several multispectral scanners, including Daedalus thematic mapper simulator scanners and the thermal infrared multispectral scanner. Data are collected from selected areas over the conterminous United States, Alaska, and Hawaii by NASA ER-2 and NASA C-130B aircraft, operating from the NASA Ames Research Center in Moffett Field, California, and by NASA Learjet aircraft, operating from Stennis Space Center in Bay St. Louis, Mississippi. Limited international acquisitions also are available. In cooperation with the Jet Propulsion Laboratory and Daedalus Enterprises,Inc., NASA developed several multispectral sensors. The data acquired from these sensors supports NASA's Airborne Science and Applications Program and have been identified as precursors to the instruments scheduled to fly on Earth Observing System platforms. THEMATIC MAPPER SIMULATOR The Thematic Mapper Simulator (TMS) sensor is a line scanning device designed for a variety of Earth science applications. Flown aboard NASA ER-2 aircraft, the TMS sensor has a nominal Instantaneous Field of View of 1.25 milliradians with a ground resolution of 81 feet (25 meters) at 65,000 feet. The TMS sensor scans at a rate of 12.5 scans per second with 716 pixels per scan line. Swath width is 8.3 nautical miles (15.4 kilometers) at 65,000 feet while the scanner's Field of View is 42.5 degrees. NS-001 MULTISPECTRAL SCANNER The NS-001multispectral scanner is a line scanning device designed to simulate Landsat thematic mapper (TM) sensor performance, including a near infrared/short-wave infrared band used in applications similar to those of the TM sensor (e.g., Earth resources mapping, vegetation/land cover mapping, geologic studies). Flown aboard NASA C-130B aircraft, the NS-001 sensor has a nominal Instantaneous Field of View of 2.5 milliradians with a ground resolution of 25 feet (7.6 meters) at 10,000 feet. The sensor has a variable scan rate (10 to 100 scans per second) with 699 pixels per scan line, but the available motor drive supply restricts the maximum stable scan speed to approximately 85 revolutions per second. A scan rate of 100 revolutions per second is possible, but not probable, for short scan lines; therefore, a combination of factors, including aircraft flight requirements and maximum scan speed, prevent scanner operation below 1,500 feet. Swath width is 3.9 nautical miles (7.26 kilometers) at 10,000 feet, and the total scan angle or field of regard for the sensor is 100 degrees, plus or minus 15 degrees for roll compensation. THERMAL INFRARED MULTISPECTRAL SCANNER The Thermal Infrared Multispectral Scanner (TIMS) sensor is a line scanning device originally designed for geologic applications. Flown aboard NASA C-130B, NASA ER-2, and NASA Learjet aircraft, the TIMS sensor has a nominal Instantaneous Field of View of 2.5 milliradians with a ground resolution of 25 feet (7.6 meters) at 10,000 feet. The sensor has a selectable scan rate (7.3, 8.7, 12, or 25 scans per second) with 698 pixels per scan line. Swath width is 2.6 nautical miles (4.8 kilometers) at 10,000 feet while the scanner's Field of View is 76.56 degrees.",
"license": "proprietary"
},
@@ -21554,7 +21554,7 @@
"license": "proprietary"
},
{
- "id": "ALOS.AVNIR-2.L1C_NA",
+ "id": "ALOS.AVNIR-2.L1C_7.0",
"title": "ALOS AVNIR-2 L1C",
"catalog": "ESA STAC Catalog",
"state_date": "2006-04-28",
@@ -21562,8 +21562,8 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689548-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689548-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ALOS.AVNIR-2.L1C_NA",
- "description": "This collection is providing access to the ALOS-1 AVNIR-2 (Advanced Visible and Near Infrared Radiometer type 2) L1C data acquired by ESA stations in the ADEN zone plus some worldwide data requested by European scientists. The ADEN zone (https://earth.esa.int/eogateway/documents/20142/37627/ALOS-ADEN-Zone.pdf) was the area belonging to the European Data node and covered both the European and the African continents, large part of the Greenland and the Middle East. The full mission is covered, obviously with gaps outside to the ADEN zone: \u2022 Time windows: from 2006-04-28 to 2011-04-20 \u2022 Orbits: from 1375 to 27898 \u2022 Path (corresponds to JAXA track number): from 1 to 670 \u2022 Row (corresponds to JAXA scene centre frame number): from 370 to 5230 One single Level 1C product types is offered for the OBS instrument mode: AV2_OBS_1C.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ALOS.AVNIR-2.L1C_7.0",
+ "description": "This collection is providing access to the ALOS-1 AVNIR-2 (Advanced Visible and Near Infrared Radiometer type 2) L1C data acquired by ESA stations in the ADEN zone plus some worldwide data requested by European scientists. The ADEN zone (https://earth.esa.int/eogateway/documents/20142/37627/ALOS-ADEN-Zone.pdf) was the area belonging to the European Data node and covered both the European and the African continents, large part of the Greenland and the Middle East. The full mission is covered, obviously with gaps outside to the ADEN zone: \u2022 Time windows: from 2006-04-28 to 2011-04-20 \u2022 Orbits: from 1375 to 27898 \u2022 Path (corresponds to JAXA track number): from 1 to 670 \u2022 Row (corresponds to JAXA scene centre frame number): from 370 to 5230 One single Level 1C product types is offered for the OBS instrument mode: AV2_OBS_1C. The Level 1C product is a multispectral image (three bands in VIS and one in NIR) in GEOTIFF format with 10 m resolution.",
"license": "proprietary"
},
{
@@ -21580,7 +21580,7 @@
"license": "proprietary"
},
{
- "id": "ALOSIPY_NA",
+ "id": "ALOSIPY_9.0",
"title": "ALOS PALSAR International Polar Year Antarctica",
"catalog": "ESA STAC Catalog",
"state_date": "2008-07-25",
@@ -21588,8 +21588,8 @@
"bbox": "-180, -90, 180, -50",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336817-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336817-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ALOSIPY_NA",
- "description": "International Polar Year (IPY), focusing on the north and south polar regions, aimed to investigate the impact of how changes to the ice sheets affect ocean and climate change to the habitats in these regions. IPY was a collaborative project involving over sixty countries for two years from March 2007 to March 2009. To meet the project goal, world space agencies observed these regions intensively using their own Earth observation satellites. One of these satellites, ALOS - with the PALSAR (Phased Array type L-band Synthetic Aperture Radar) sensor - observed these regions independently from day-night conditions or weather conditions. Carrying on this initiative, ESA is providing the ALOS PALSAR IPY Antarctica dataset, which consists of full resolution ALOS PALSAR ScanSAR WB1 products (100m spatial resolution) over Antarctica from July 2008 (cycle 21) to December 2008 (Cycle 24) and from May 2009 (cycle 27) to March 2010 (cycle 31). Missing products between the two periods above is due to L0 data over Antarctica not being available in ADEN archives and not processed to L1. Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/smcat/ALOSIPY/ available on the Third Party Missions Dissemination Service.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ALOSIPY_9.0",
+ "description": "International Polar Year (IPY), focusing on the north and south polar regions, aimed to investigate the impact of how changes to the ice sheets affect ocean and climate change to the habitats in these regions. IPY was a collaborative project involving over sixty countries for two years from March 2007 to March 2009. To meet the project goal, world space agencies observed these regions intensively using their own Earth observation satellites. One of these satellites, ALOS - with the PALSAR (Phased Array type L-band Synthetic Aperture Radar) sensor - observed these regions independently from day-night conditions or weather conditions. Carrying on this initiative, ESA is providing the ALOS PALSAR IPY Antarctica dataset, which consists of full resolution ALOS PALSAR ScanSAR WB1 products (100m spatial resolution) over Antarctica from July 2008 (cycle 21) to December 2008 (Cycle 24) and from May 2009 (cycle 27) to March 2010 (cycle 31). Missing products between the two periods above is due to L0 data over Antarctica not being available in ADEN archives and not processed to L1. Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://alos-ds.eo.esa.int/smcat/ALOSIPY/ available on the Third Party Missions Dissemination Service.",
"license": "proprietary"
},
{
@@ -21607,19 +21607,19 @@
},
{
"id": "ALOS_NA",
- "title": "Alos African Coverage ESA archive",
+ "title": "ALOS Images(ROSCOSMOS)",
"catalog": "ESA STAC Catalog",
- "state_date": "2006-07-09",
- "end_date": "2009-05-12",
- "bbox": "-26, -37, 53, 37",
+ "state_date": "2006-01-01",
+ "end_date": "2011-12-31",
+ "bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336815-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336815-ESA.html",
"href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ALOS_NA",
- "description": "ALOS Africa is a dataset of the best available (cloud minimal, below 10%) African coverage acquired by AVNIR-2 in OBS mode and PRISM in OB1 mode (all Backward, Nadir and Forward views, in separated products), two different collections one for each instrument. The processing level for both AVNIR-2 and PRISM products is L1B.",
+ "description": " This collection provides access to images archived at ROSCOSMOS for ALOS mission.",
"license": "proprietary"
},
{
- "id": "ALOS_PRISM_L1B_NA",
+ "id": "ALOS_PRISM_L1B_7.0",
"title": "Alos PRISM L1B",
"catalog": "ESA STAC Catalog",
"state_date": "2006-07-09",
@@ -21627,8 +21627,8 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689640-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689640-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ALOS_PRISM_L1B_NA",
- "description": "This collection provides access to the ALOS-1 PRISM (Panchromatic Remote-sensing Instrument for Stereo Mapping) L1B data acquired by ESA stations in the ADEN zone plus some data requested by European scientists over their areas of interest around the world. The ADEN zone (https://earth.esa.int/eogateway/documents/20142/37627/ALOS-ADEN-Zone.pdf) was the area belonging to the European Data node and covered both the European and African continents, a large part of Greenland and the Middle East. The full mission is covered, though with gaps outside of the ADEN zone: Time window: from 2006-07-09 to 2011-03-31 Orbits: from 2425 to 24189 Path (corresponds to JAXA track number): from 1 to 668 Row (corresponds to JAXA scene centre frame number): from 55 to 7185. Two different Level 1B product types (Panchromatic images in VIS-NIR bands, 2.5 m resolution at nadir) are offered, one for each available sensor mode: PSM_OB1_11 -> composed of up to three views; Nadir, Forward and Backward at 35 km swath PSM_OB2_11 -> composed of up to two views; Nadir view at 70 km width and Backward view at 35 km width. All ALOS PRISM EO-SIP products have, at least, the Nadir view which is used for the frame number identification. All views are packaged together; each view, in CEOS format, is stored in a directory named according to the view ID according to the JAXA naming convention.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ALOS_PRISM_L1B_7.0",
+ "description": "This collection provides access to the ALOS-1 PRISM (Panchromatic Remote-sensing Instrument for Stereo Mapping) L1B data acquired by ESA stations in the ADEN zone plus some data requested by European scientists over their areas of interest around the world. The ADEN zone (https://earth.esa.int/eogateway/documents/20142/37627/ALOS-ADEN-Zone.pdf) was the area belonging to the European Data node and covered both the European and African continents, a large part of Greenland and the Middle East. The full mission is covered, though with gaps outside of the ADEN zone: Time window: from 2006-07-09 to 2011-03-31 Orbits: from 2425 to 24189 Path (corresponds to JAXA track number): from 1 to 668 Row (corresponds to JAXA scene centre frame number): from 55 to 7185. Two different Level 1B product types (Panchromatic images in VIS-NIR bands, 2.5 m resolution at nadir) are offered, one for each available sensor mode: PSM_OB1_11 -> composed of up to three views; Nadir, Forward and Backward at 35 km swath PSM_OB2_11 -> composed of up to two views; Nadir view at 70 km width and Backward view at 35 km width. All ALOS PRISM EO-SIP products have, at least, the Nadir view which is used for the frame number identification. All views are packaged together; each view, in CEOS format, is stored in a directory named according to the view ID according to the JAXA naming convention.",
"license": "proprietary"
},
{
@@ -30849,7 +30849,7 @@
"license": "proprietary"
},
{
- "id": "ASA_AP__0P_Scenes_NA",
+ "id": "ASA_AP__0P_Scenes_9.0",
"title": "Envisat ASAR AP Co- and Cross-polar L0 [ASA_APC/APH/APV_0P]",
"catalog": "ESA STAC Catalog",
"state_date": "2002-11-15",
@@ -30857,8 +30857,8 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336818-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336818-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ASA_AP__0P_Scenes_NA",
- "description": "The ASAR Alternating Polarization Mode Level 0 (Co-polar and Cross-polar H and V) products contain time-ordered Annotated Instrument Source Packets (AISPs) corresponding to one of the three possible polarisation combinations: HH & HV, VV & VH and HH & VV, respectively. The echo samples in the AISPs have been compressed to 4 bits/sample using FBAQ. This is a high-rate, narrow swath mode, so data is only acquired for partial orbit segments. There are two co-registered images per acquisition and may be from one of seven different image swaths. The Level 0 product was produced systematically for all data acquired within this mode. Data Size: 56-100 km across track x 100 km along track There are three AP Mode Level 0 products: - ASA_APH_0P: The Cross-polar H Level 0 product corresponds to the polarisation combination HH/HV. - ASA_APV_0P: The Cross-polar V Level 0 product corresponds to the polarisation combination VV/VH. - ASA_APC_0P: The Co-polar Level 0 product corresponds to the polarisation combination HH/VV= H and H received/V transmit and V received.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ASA_AP__0P_Scenes_9.0",
+ "description": "The ASAR Alternating Polarization Mode Level 0 (Co-polar and Cross-polar H and V) products contain time-ordered Annotated Instrument Source Packets (AISPs) corresponding to one of the three possible polarisation combinations: HH & HV, VV & VH and HH & VV, respectively. The echo samples in the AISPs have been compressed to 4 bits/sample using FBAQ. This is a high-rate, narrow swath mode, so data is only acquired for partial orbit segments. There are two co-registered images per acquisition and may be from one of seven different image swaths. The Level 0 product was produced systematically for all data acquired within this mode. Data Size: 56-100 km across track x 100 km along track There are three AP Mode Level 0 products: - ASA_APH_0P: The Cross-polar H Level 0 product corresponds to the polarisation combination HH/HV. - ASA_APV_0P: The Cross-polar V Level 0 product corresponds to the polarisation combination VV/VH. - ASA_APC_0P: The Co-polar Level 0 product corresponds to the polarisation combination HH/VV= H and H received/V transmit and V received.",
"license": "proprietary"
},
{
@@ -31553,52 +31553,52 @@
{
"id": "ATL04_006",
"title": "ATLAS/ICESat-2 L2A Normalized Relative Backscatter Profiles V006",
- "catalog": "NSIDC_CPRD STAC Catalog",
+ "catalog": "NSIDC_ECS STAC Catalog",
"state_date": "2018-10-13",
"end_date": "",
"bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553327-NSIDC_CPRD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553327-NSIDC_CPRD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL04_006",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2561045326-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2561045326-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/ATL04_006",
"description": "ATL04 contains along-track normalized relative backscatter profiles of the atmosphere. The product includes full 532 nm (14 km) uncalibrated attenuated backscatter profiles at 25 times per second for vertical bins of approximately 30 meters. Calibration coefficient values derived from data within the polar regions are also included. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.",
"license": "proprietary"
},
{
"id": "ATL04_006",
"title": "ATLAS/ICESat-2 L2A Normalized Relative Backscatter Profiles V006",
- "catalog": "NSIDC_ECS STAC Catalog",
+ "catalog": "NSIDC_CPRD STAC Catalog",
"state_date": "2018-10-13",
"end_date": "",
"bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2561045326-NSIDC_ECS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2561045326-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/ATL04_006",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553327-NSIDC_CPRD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553327-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL04_006",
"description": "ATL04 contains along-track normalized relative backscatter profiles of the atmosphere. The product includes full 532 nm (14 km) uncalibrated attenuated backscatter profiles at 25 times per second for vertical bins of approximately 30 meters. Calibration coefficient values derived from data within the polar regions are also included. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.",
"license": "proprietary"
},
{
"id": "ATL06_006",
"title": "ATLAS/ICESat-2 L3A Land Ice Height V006",
- "catalog": "NSIDC_CPRD STAC Catalog",
+ "catalog": "NSIDC_ECS STAC Catalog",
"state_date": "2018-10-14",
"end_date": "",
"bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2670138092-NSIDC_CPRD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2670138092-NSIDC_CPRD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL06_006",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2564427300-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2564427300-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/ATL06_006",
"description": "This data set (ATL06) provides geolocated, land-ice surface heights (above the WGS 84 ellipsoid, ITRF2014 reference frame), plus ancillary parameters that can be used to interpret and assess the quality of the height estimates. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.",
"license": "proprietary"
},
{
"id": "ATL06_006",
"title": "ATLAS/ICESat-2 L3A Land Ice Height V006",
- "catalog": "NSIDC_ECS STAC Catalog",
+ "catalog": "NSIDC_CPRD STAC Catalog",
"state_date": "2018-10-14",
"end_date": "",
"bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2564427300-NSIDC_ECS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2564427300-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/ATL06_006",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2670138092-NSIDC_CPRD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2670138092-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL06_006",
"description": "This data set (ATL06) provides geolocated, land-ice surface heights (above the WGS 84 ellipsoid, ITRF2014 reference frame), plus ancillary parameters that can be used to interpret and assess the quality of the height estimates. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.",
"license": "proprietary"
},
@@ -31618,26 +31618,26 @@
{
"id": "ATL07_006",
"title": "ATLAS/ICESat-2 L3A Sea Ice Height V006",
- "catalog": "NSIDC_ECS STAC Catalog",
+ "catalog": "NSIDC_CPRD STAC Catalog",
"state_date": "2018-10-14",
"end_date": "",
"bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2564625052-NSIDC_ECS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2564625052-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/ATL07_006",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2713030505-NSIDC_CPRD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2713030505-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL07_006",
"description": "The data set (ATL07) contains along-track heights for sea ice and open water leads (at varying length scales) relative to the WGS84 ellipsoid (ITRF2014 reference frame) after adjustment for geoidal and tidal variations, and inverted barometer effects. Height statistics and apparent reflectance are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.",
"license": "proprietary"
},
{
"id": "ATL07_006",
"title": "ATLAS/ICESat-2 L3A Sea Ice Height V006",
- "catalog": "NSIDC_CPRD STAC Catalog",
+ "catalog": "NSIDC_ECS STAC Catalog",
"state_date": "2018-10-14",
"end_date": "",
"bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2713030505-NSIDC_CPRD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2713030505-NSIDC_CPRD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL07_006",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2564625052-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2564625052-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/ATL07_006",
"description": "The data set (ATL07) contains along-track heights for sea ice and open water leads (at varying length scales) relative to the WGS84 ellipsoid (ITRF2014 reference frame) after adjustment for geoidal and tidal variations, and inverted barometer effects. Height statistics and apparent reflectance are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.",
"license": "proprietary"
},
@@ -31657,26 +31657,26 @@
{
"id": "ATL08_006",
"title": "ATLAS/ICESat-2 L3A Land and Vegetation Height V006",
- "catalog": "NSIDC_CPRD STAC Catalog",
+ "catalog": "NSIDC_ECS STAC Catalog",
"state_date": "2018-10-14",
"end_date": "",
"bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553260-NSIDC_CPRD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553260-NSIDC_CPRD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL08_006",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2565090645-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2565090645-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/ATL08_006",
"description": "This data set (ATL08) contains along-track heights above the WGS84 ellipsoid (ITRF2014 reference frame) for the ground and canopy surfaces. The canopy and ground surfaces are processed in fixed 100 m data segments, which typically contain more than 100 signal photons. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.",
"license": "proprietary"
},
{
"id": "ATL08_006",
"title": "ATLAS/ICESat-2 L3A Land and Vegetation Height V006",
- "catalog": "NSIDC_ECS STAC Catalog",
+ "catalog": "NSIDC_CPRD STAC Catalog",
"state_date": "2018-10-14",
"end_date": "",
"bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2565090645-NSIDC_ECS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2565090645-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/ATL08_006",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553260-NSIDC_CPRD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553260-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL08_006",
"description": "This data set (ATL08) contains along-track heights above the WGS84 ellipsoid (ITRF2014 reference frame) for the ground and canopy surfaces. The canopy and ground surfaces are processed in fixed 100 m data segments, which typically contain more than 100 signal photons. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.",
"license": "proprietary"
},
@@ -31735,26 +31735,26 @@
{
"id": "ATL10_006",
"title": "ATLAS/ICESat-2 L3A Sea Ice Freeboard V006",
- "catalog": "NSIDC_ECS STAC Catalog",
+ "catalog": "NSIDC_CPRD STAC Catalog",
"state_date": "2018-10-14",
"end_date": "",
"bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2567856357-NSIDC_ECS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2567856357-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/ATL10_006",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553243-NSIDC_CPRD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553243-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL10_006",
"description": "This data set (ATL10) contains estimates of sea ice freeboard, calculated using three different approaches. Sea ice leads used to establish the reference sea surface and descriptive statistics used in the height estimates are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.",
"license": "proprietary"
},
{
"id": "ATL10_006",
"title": "ATLAS/ICESat-2 L3A Sea Ice Freeboard V006",
- "catalog": "NSIDC_CPRD STAC Catalog",
+ "catalog": "NSIDC_ECS STAC Catalog",
"state_date": "2018-10-14",
"end_date": "",
"bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553243-NSIDC_CPRD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553243-NSIDC_CPRD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL10_006",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2567856357-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2567856357-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/ATL10_006",
"description": "This data set (ATL10) contains estimates of sea ice freeboard, calculated using three different approaches. Sea ice leads used to establish the reference sea surface and descriptive statistics used in the height estimates are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.",
"license": "proprietary"
},
@@ -31826,52 +31826,52 @@
{
"id": "ATL13_006",
"title": "ATLAS/ICESat-2 L3A Along Track Inland Surface Water Data V006",
- "catalog": "NSIDC_CPRD STAC Catalog",
+ "catalog": "NSIDC_ECS STAC Catalog",
"state_date": "2018-10-13",
"end_date": "",
"bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2684928243-NSIDC_CPRD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2684928243-NSIDC_CPRD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL13_006",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2650116584-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2650116584-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/ATL13_006",
"description": "This data set (ATL13) contains along-track surface water products for inland water bodies. Inland water bodies include lakes, reservoirs, rivers, bays, estuaries and a 7km near-shore buffer. Principal data products include the along-track water surface height and standard deviation, subsurface signal (532 nm) attenuation, significant wave height, wind speed, and coarse depth to bottom topography (where data permit).",
"license": "proprietary"
},
{
"id": "ATL13_006",
"title": "ATLAS/ICESat-2 L3A Along Track Inland Surface Water Data V006",
- "catalog": "NSIDC_ECS STAC Catalog",
+ "catalog": "NSIDC_CPRD STAC Catalog",
"state_date": "2018-10-13",
"end_date": "",
"bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2650116584-NSIDC_ECS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2650116584-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/ATL13_006",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2684928243-NSIDC_CPRD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2684928243-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL13_006",
"description": "This data set (ATL13) contains along-track surface water products for inland water bodies. Inland water bodies include lakes, reservoirs, rivers, bays, estuaries and a 7km near-shore buffer. Principal data products include the along-track water surface height and standard deviation, subsurface signal (532 nm) attenuation, significant wave height, wind speed, and coarse depth to bottom topography (where data permit).",
"license": "proprietary"
},
{
"id": "ATL14_003",
"title": "ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height V003",
- "catalog": "NSIDC_CPRD STAC Catalog",
+ "catalog": "NSIDC_ECS STAC Catalog",
"state_date": "2019-03-29",
"end_date": "",
"bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2776895337-NSIDC_CPRD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776895337-NSIDC_CPRD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL14_003",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2776464127-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776464127-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/ATL14_003",
"description": "ATL14 and ATL15 bring the time-varying height estimates provided in ATLAS/ICESat-2 L3B Annual Land Ice Height (ATL11) into a gridded format. ATL14 is a high-resolution (100 m) digital elevation model (DEM) that provides spatially continuous gridded data of ice sheet surface height. The data can be used to initialize ice sheet models, as boundary conditions for atmospheric models, or to help with the reduction of other satellite data such as optical imagery or synthetic aperture radar (SAR). ATL15 provides coarser resolution (1 km, 10 km, 20 km, and 40 km) height-change maps at 3-month intervals, allowing for visualization of height-change patterns and calculation of integrated regional volume change.",
"license": "proprietary"
},
{
"id": "ATL14_003",
"title": "ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height V003",
- "catalog": "NSIDC_ECS STAC Catalog",
+ "catalog": "NSIDC_CPRD STAC Catalog",
"state_date": "2019-03-29",
"end_date": "",
"bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2776464127-NSIDC_ECS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776464127-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/ATL14_003",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2776895337-NSIDC_CPRD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776895337-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL14_003",
"description": "ATL14 and ATL15 bring the time-varying height estimates provided in ATLAS/ICESat-2 L3B Annual Land Ice Height (ATL11) into a gridded format. ATL14 is a high-resolution (100 m) digital elevation model (DEM) that provides spatially continuous gridded data of ice sheet surface height. The data can be used to initialize ice sheet models, as boundary conditions for atmospheric models, or to help with the reduction of other satellite data such as optical imagery or synthetic aperture radar (SAR). ATL15 provides coarser resolution (1 km, 10 km, 20 km, and 40 km) height-change maps at 3-month intervals, allowing for visualization of height-change patterns and calculation of integrated regional volume change.",
"license": "proprietary"
},
@@ -31904,26 +31904,26 @@
{
"id": "ATL15_003",
"title": "ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height Change V003",
- "catalog": "NSIDC_ECS STAC Catalog",
+ "catalog": "NSIDC_CPRD STAC Catalog",
"state_date": "2019-03-29",
"end_date": "",
"bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2776464171-NSIDC_ECS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776464171-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/ATL15_003",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2776895930-NSIDC_CPRD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776895930-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL15_003",
"description": "ATL14 and ATL15 bring the time-varying height estimates provided in ATLAS/ICESat-2 L3B Annual Land Ice Height (ATL11) into a gridded format. ATL14 is a high-resolution (100 m) digital elevation model (DEM) that provides spatially continuous gridded data of ice sheet surface height. The data can be used to initialize ice sheet models, as boundary conditions for atmospheric models, or to help with the reduction of other satellite data such as optical imagery or synthetic aperture radar (SAR). ATL15 provides coarser resolution (1 km, 10 km, 20 km, and 40 km) height-change maps at 3-month intervals, allowing for visualization of height-change patterns and calculation of integrated regional volume change.",
"license": "proprietary"
},
{
"id": "ATL15_003",
"title": "ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height Change V003",
- "catalog": "NSIDC_CPRD STAC Catalog",
+ "catalog": "NSIDC_ECS STAC Catalog",
"state_date": "2019-03-29",
"end_date": "",
"bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2776895930-NSIDC_CPRD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776895930-NSIDC_CPRD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL15_003",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2776464171-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776464171-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/ATL15_003",
"description": "ATL14 and ATL15 bring the time-varying height estimates provided in ATLAS/ICESat-2 L3B Annual Land Ice Height (ATL11) into a gridded format. ATL14 is a high-resolution (100 m) digital elevation model (DEM) that provides spatially continuous gridded data of ice sheet surface height. The data can be used to initialize ice sheet models, as boundary conditions for atmospheric models, or to help with the reduction of other satellite data such as optical imagery or synthetic aperture radar (SAR). ATL15 provides coarser resolution (1 km, 10 km, 20 km, and 40 km) height-change maps at 3-month intervals, allowing for visualization of height-change patterns and calculation of integrated regional volume change.",
"license": "proprietary"
},
@@ -31982,52 +31982,52 @@
{
"id": "ATL17_005",
"title": "ATLAS/ICESat-2 L3B Monthly Gridded Atmosphere V005",
- "catalog": "NSIDC_ECS STAC Catalog",
+ "catalog": "NSIDC_CPRD STAC Catalog",
"state_date": "2018-10-13",
"end_date": "",
"bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2737997483-NSIDC_ECS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2737997483-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/ATL17_005",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2769338020-NSIDC_CPRD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2769338020-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL17_005",
"description": "This data set contains a gridded summary of monthly global cloud fraction, total column optical depth over the oceans, polar cloud fraction, blowing snow frequency, apparent surface reflectivity, and ground detection frequency.",
"license": "proprietary"
},
{
"id": "ATL17_005",
"title": "ATLAS/ICESat-2 L3B Monthly Gridded Atmosphere V005",
- "catalog": "NSIDC_CPRD STAC Catalog",
+ "catalog": "NSIDC_ECS STAC Catalog",
"state_date": "2018-10-13",
"end_date": "",
"bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2769338020-NSIDC_CPRD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2769338020-NSIDC_CPRD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL17_005",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2737997483-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2737997483-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/ATL17_005",
"description": "This data set contains a gridded summary of monthly global cloud fraction, total column optical depth over the oceans, polar cloud fraction, blowing snow frequency, apparent surface reflectivity, and ground detection frequency.",
"license": "proprietary"
},
{
"id": "ATL19_003",
"title": "ATLAS/ICESat-2 L3B Monthly Gridded Dynamic Ocean Topography V003",
- "catalog": "NSIDC_ECS STAC Catalog",
+ "catalog": "NSIDC_CPRD STAC Catalog",
"state_date": "2018-10-13",
"end_date": "",
"bbox": "-180, -88, 180, 88",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2746899536-NSIDC_ECS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2746899536-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/ATL19_003",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2754956786-NSIDC_CPRD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2754956786-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL19_003",
"description": "This data set contains monthly gridded dynamic ocean topography (DOT), derived from along-track ATLAS/ICESat-2 L3A Ocean Surface Height product (ATL12). Monthly gridded sea surface height (SSH) can be calculated by adding the mean DOT and the weighted average geoid height also provided in this data set. Both single beam and all-beam gridded averages are available in this data set. Single beam averages are useful to identify biases among the beams and the all-beam averages are advised to use for physical oceanography.",
"license": "proprietary"
},
{
"id": "ATL19_003",
"title": "ATLAS/ICESat-2 L3B Monthly Gridded Dynamic Ocean Topography V003",
- "catalog": "NSIDC_CPRD STAC Catalog",
+ "catalog": "NSIDC_ECS STAC Catalog",
"state_date": "2018-10-13",
"end_date": "",
"bbox": "-180, -88, 180, 88",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2754956786-NSIDC_CPRD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2754956786-NSIDC_CPRD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL19_003",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2746899536-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2746899536-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/ATL19_003",
"description": "This data set contains monthly gridded dynamic ocean topography (DOT), derived from along-track ATLAS/ICESat-2 L3A Ocean Surface Height product (ATL12). Monthly gridded sea surface height (SSH) can be calculated by adding the mean DOT and the weighted average geoid height also provided in this data set. Both single beam and all-beam gridded averages are available in this data set. Single beam averages are useful to identify biases among the beams and the all-beam averages are advised to use for physical oceanography.",
"license": "proprietary"
},
@@ -32060,78 +32060,78 @@
{
"id": "ATL21_003",
"title": "ATLAS/ICESat-2 L3B Daily and Monthly Gridded Polar Sea Surface Height Anomaly V003",
- "catalog": "NSIDC_ECS STAC Catalog",
+ "catalog": "NSIDC_CPRD STAC Catalog",
"state_date": "2018-10-14",
"end_date": "",
"bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2737912334-NSIDC_ECS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2737912334-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/ATL21_003",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2753316241-NSIDC_CPRD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2753316241-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL21_003",
"description": "ATL21 contains daily and monthly gridded polar sea surface height (SSH) anomalies, derived from the along-track ATLAS/ICESat-2 L3A Sea Ice Height product (ATL10, V6). The ATL10 product identifies leads in sea ice and establishes a reference sea surface used to estimate SSH in 10 km along-track segments. ATL21 aggregates the ATL10 along-track SSH estimates and computes daily and monthly gridded SSH anomaly in NSIDC Polar Stereographic Northern and Southern Hemisphere 25 km grids.",
"license": "proprietary"
},
{
"id": "ATL21_003",
"title": "ATLAS/ICESat-2 L3B Daily and Monthly Gridded Polar Sea Surface Height Anomaly V003",
- "catalog": "NSIDC_CPRD STAC Catalog",
+ "catalog": "NSIDC_ECS STAC Catalog",
"state_date": "2018-10-14",
"end_date": "",
"bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2753316241-NSIDC_CPRD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2753316241-NSIDC_CPRD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL21_003",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2737912334-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2737912334-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/ATL21_003",
"description": "ATL21 contains daily and monthly gridded polar sea surface height (SSH) anomalies, derived from the along-track ATLAS/ICESat-2 L3A Sea Ice Height product (ATL10, V6). The ATL10 product identifies leads in sea ice and establishes a reference sea surface used to estimate SSH in 10 km along-track segments. ATL21 aggregates the ATL10 along-track SSH estimates and computes daily and monthly gridded SSH anomaly in NSIDC Polar Stereographic Northern and Southern Hemisphere 25 km grids.",
"license": "proprietary"
},
{
"id": "ATL22_003",
"title": "ATLAS/ICESat-2 L3B Mean Inland Surface Water Data V003",
- "catalog": "NSIDC_ECS STAC Catalog",
+ "catalog": "NSIDC_CPRD STAC Catalog",
"state_date": "2018-10-14",
"end_date": "",
"bbox": "-180, -88, 180, 88",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2738530540-NSIDC_ECS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2738530540-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/ATL22_003",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2761722214-NSIDC_CPRD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2761722214-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL22_003",
"description": "ATL22 is a derivative of the continuous Level 3A ATL13 Along Track Inland Surface Water Data product. ATL13 contains the high-resolution, along-track inland water surface profiles derived from analysis of the geolocated photon clouds from the ATL03 product. Starting from ATL13, ATL22 computes the mean surface water quantities with no additional photon analysis. The two data products, ATL22 and ATL13, can be used in conjunction as they include the same orbit and water body nomenclature independent from version numbers.",
"license": "proprietary"
},
{
"id": "ATL22_003",
"title": "ATLAS/ICESat-2 L3B Mean Inland Surface Water Data V003",
- "catalog": "NSIDC_CPRD STAC Catalog",
+ "catalog": "NSIDC_ECS STAC Catalog",
"state_date": "2018-10-14",
"end_date": "",
"bbox": "-180, -88, 180, 88",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2761722214-NSIDC_CPRD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2761722214-NSIDC_CPRD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL22_003",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2738530540-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2738530540-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/ATL22_003",
"description": "ATL22 is a derivative of the continuous Level 3A ATL13 Along Track Inland Surface Water Data product. ATL13 contains the high-resolution, along-track inland water surface profiles derived from analysis of the geolocated photon clouds from the ATL03 product. Starting from ATL13, ATL22 computes the mean surface water quantities with no additional photon analysis. The two data products, ATL22 and ATL13, can be used in conjunction as they include the same orbit and water body nomenclature independent from version numbers.",
"license": "proprietary"
},
{
"id": "ATL23_001",
"title": "ATLAS/ICESat-2 L3B Monthly 3-Month Gridded Dynamic Ocean Topography V001",
- "catalog": "NSIDC_ECS STAC Catalog",
+ "catalog": "NSIDC_CPRD STAC Catalog",
"state_date": "2018-10-13",
"end_date": "",
"bbox": "-180, -88, 180, 88",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2692731693-NSIDC_ECS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2692731693-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/ATL23_001",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2765424272-NSIDC_CPRD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2765424272-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL23_001",
"description": "This data set contains 3-month gridded averages of dynamic ocean topography (DOT) over midlatitude, north-polar, and south-polar grids derived from the along-track ATLAS/ICESat-2 L3A Ocean Surface Height product (ATL12). Monthly gridded sea surface height (SSH) can be calculated by adding the mean DOT and the weighted average geoid height also provided. Both single beam and all-beam gridded averages are available. Simple averages, degree-of-freedom averages, and averages interpolated to the center of grid cells are included, as well as uncertainty estimates.",
"license": "proprietary"
},
{
"id": "ATL23_001",
"title": "ATLAS/ICESat-2 L3B Monthly 3-Month Gridded Dynamic Ocean Topography V001",
- "catalog": "NSIDC_CPRD STAC Catalog",
+ "catalog": "NSIDC_ECS STAC Catalog",
"state_date": "2018-10-13",
"end_date": "",
"bbox": "-180, -88, 180, 88",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2765424272-NSIDC_CPRD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2765424272-NSIDC_CPRD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL23_001",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2692731693-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2692731693-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/ATL23_001",
"description": "This data set contains 3-month gridded averages of dynamic ocean topography (DOT) over midlatitude, north-polar, and south-polar grids derived from the along-track ATLAS/ICESat-2 L3A Ocean Surface Height product (ATL12). Monthly gridded sea surface height (SSH) can be calculated by adding the mean DOT and the weighted average geoid height also provided. Both single beam and all-beam gridded averages are available. Simple averages, degree-of-freedom averages, and averages interpolated to the center of grid cells are included, as well as uncertainty estimates.",
"license": "proprietary"
},
@@ -33059,7 +33059,7 @@
"license": "proprietary"
},
{
- "id": "AUX_Dynamic_Open_NA",
+ "id": "AUX_Dynamic_Open_4.0",
"title": "SMOS Auxiliary Data",
"catalog": "ESA STAC Catalog",
"state_date": "2010-06-01",
@@ -33067,8 +33067,8 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336820-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336820-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/AUX_Dynamic_Open_NA",
- "description": "The Level 2 ECMWF SMOS Auxiliary data product, openly available to all users, contains ECMWF data on the ISEA 4-9 DGG corresponding to SMOS half-orbit. It is used by both the ocean salinity and soil moisture operational processors to store the geophysical parameters from ECMWF forecasts. Access to other SMOS Level 1 and Level 2 \"dynamic\" and \"static\" auxiliary datasets is restricted to Cal/Val users. The detailed content of the SMOS Auxiliary Data Files (ADF) is described in the Products Specification documents available in the Resources section below.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/AUX_Dynamic_Open_4.0",
+ "description": "The Level 2 ECMWF SMOS Auxiliary data product, openly available to all users, contains ECMWF data on the ISEA 4-9 DGG corresponding to SMOS half-orbit. It is used by both the ocean salinity and soil moisture operational processors to store the geophysical parameters from ECMWF forecasts. Access to other SMOS Level 1 and Level 2 "dynamic" and "static" auxiliary datasets is restricted to Cal/Val users. The detailed content of the SMOS Auxiliary Data Files (ADF) is described in the Products Specification documents available in the Resources section below.",
"license": "proprietary"
},
{
@@ -33461,6 +33461,19 @@
"description": "This L3U (Level 3 Uncollated) dataset contains global daily Sea Surface Temperature (SST) on a 0.02 degree grid resolution. It is produced by the National Oceanic and Atmospheric Administration (NOAA) Advanced Clear Sky Processor for Ocean (ACSPO) using L2P (Level 2 Preprocessed) product acquired from the Meteorological Operational satellite C (Metop-C) Advanced Very High Resolution Radiometer 3 (AVHRR/3) (https://podaac.jpl.nasa.gov/dataset/AVHRRF_MC-STAR-L2P-v2.80 ) in Full Resolution Area Coverage (FRAC) mode as input. It is distributed as 10-minute granules in netCDF-4 format, compliant with the Group for High Resolution Sea Surface Temperature (GHRSST) Data Specification version 2 (GDS2). There are 144 granules per 24-hour interval. Fill values are reported in all invalid pixels, including land pixels with >5 km inland. For each valid water pixel (defined as ocean, sea, lake or river), and up to 5 km inland, the following major layers are reported: SSTs and ACSPO clear-sky mask (ACSM; provided in each grid as part of l2p_flags, which also includes day/night, land, ice, twilight, and glint flags). Only input L2P SSTs with QL=5 were gridded, so all valid SSTs are recommended for the users. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (SSES bias and standard deviation) are reported in each pixel with valid SST. Ancillary layers include wind speed and ACSPO minus reference Canadian Meteorological Centre (CMC) Level 4 (L4) SST. The ACSPO Metop-C AVHRR FRAC L3U product is monitored and validated against iQuam in situ data (Xu and Ignatov, 2014) in the NOAA SST Quality Monitor (SQUAM) system (Dash et al, 2010). SST imagery and clear-sky mask are evaluated, and checked for consistency with L2P and other satellites/sensors SST products, in the NOAA ACSPO Regional Monitor for SST (ARMS) system. More information about the dataset is found at AVHRRF_MC-STAR-L2P-v2.80 and in (Pryamitsyn et al., 2021).",
"license": "proprietary"
},
+ {
+ "id": "AVHRRLocalAreaCoverageImagery10_6.0",
+ "title": "AVHRR Level-1B/1C Local Area Coverage Imagery",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "1981-01-01",
+ "end_date": "2020-12-31",
+ "bbox": "-30, 35, 70, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394521-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394521-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/AVHRRLocalAreaCoverageImagery10_6.0",
+ "description": "Level-1B description This collection is composed of AVHRR L1B products (1.1 km) reprocessed from the NOAA POES and Metop AVHRR sensors data acquired at the University of Dundee and University of Bern ground stations and from the ESA and University of Bern data historical archive. The product format is the NOAA AVHRR Level 1B that combines the AVHRR data from the HRPT stream with ancillary information like Earth location and calibration data which can be applied by the user. Other appended parameters are time codes, quality indicators, solar and satellite angles and telemetry. Two data collections cover Europe and the neighbouring regions in the period of 1 January 1981 to 31 December 2020 and the acquired data in the context of the 1-KM project in the \u201890s. During the early 1990\u2019s various groups, including the International Geosphere-Biosphere Programme (IGBP), the Commission of the European Communities (CEC), the Moderate Resolution Imaging Spectrometer (MODIS) Science Team and ESA concluded that a global land 1 KM AVHRR data set would have been crucial to study and develop algorithms for several land products for the Earth Observing System. USGS, NOAA, ESA and other non-U.S. AVHRR receiving stations endorsed the initiative to collect a global land 1-km multi-temporal AVHRR data set over all land surfaces using NOAA's TIROS "afternoon" polar-orbiting satellite. On 1 April 1992, the project officially began up to the end of 1999 with the utilisation of 23 stations worldwide plus the NOAA local area coverage (LAC) on-board recorders. The global land 1-km AVHRR dataset is composed of 5 channels, raw AVHRR dataset at 1.1 km resolution from the NOAA-11 and NOAA-14 satellites covering land surfaces, inland water and coastal areas. Level-1C Description This data collection consists of measurements from the Advanced Very High Resolution Radiometer (AVHRR) at 1.1km full Local Area Coverage (LAC) resolution. It is based on the ESA AVHRR Level 1B European Data Set, a curated collection of AVHRR 1km data from 1981 to 2020 covering Europe, selected areas in Africa and the acquired data out-of-Europe in the context of the 1-KM project in the \u201890s (see the Level-1B description for details). The AVHRR LAC measurements were processed by the Remote Sensing Research Group of the University Bern, Switzerland. A landmark based navigation correction software adjusted time and satellite attitude to improve the georeferencing accuracy. The PyGAC software was used to convert the counts to reflectances for the visible and near-infrared channels 1, 2, 3A, and to brightness temperatures for the infrared channels 3B, 4, 5. The infrared calibration uses on-board calibration data and is satellite specific without cross-calibration between satellites. Due to the lack of on-board calibration data for the visible channels calculated coefficients from the CIMSS PATMOS-X project, version 2017r1, were used for the visible calibration aiming to minimize spectral differences among the various AVHRR sensors. The data format is NetCDF. The calibrated AVHRR data are accompanied by coordinates, satellite and solar angles, additional metadata, and basic quality indicators. The NOAA nomenclature is used for the data record labelling it as a set of AVHRR L1C data.",
+ "license": "proprietary"
+ },
{
"id": "AVHRRMTA_G-NAVO-L2P-v1.0_1.0",
"title": "GHRSST Level 2P Global 1m Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the MetOp-A satellite produced by NAVO",
@@ -41960,7 +41973,7 @@
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C3274449168-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3274449168-LPCLOUD.html",
"href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30CFCLIM_003",
- "description": "The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Combined Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Moderate Resolution Imaging Spectroradiometer (MODIS) Emissivity for Land (CAMEL) data suite has been expanded to include a monthly global coefficient climatology product (CAM5K30CFCLIM). The product is provided at 0.05 degree (~5 kilometer) resolution. The CAMEL Principal Components Analysis (PCA) input coefficients utilized in the CAMEL high spectral resolution (HSR) algorithm are provided in the CAM5K30CF data product. They are congruent to the temporally equivalent CAM5K30EM emissivity data product. The HSR emissivity spectra for the same month each year and each unique combination of lab dataset version and number of Principal Components (PC)s are first computed independently and then combined via a weighted average. The weighted average over 2003 through 2021 (19 years) defines the weights by the number of samples from each unique combination. Additional details regarding the methodology are available in the User Guide and Algorithm Theoretical Basis Document (ATBD). Provided in the CAM5K30CFCLIM product are variables for PCA coefficients, the weights and sample numbers of the climatology coefficients used in the average calculation, sets of the number of PCA coefficients, laboratory version numbers, latitude, longitude, and land flag information. PCA coefficients depend on the lab PC data version and the number of PCs used. ",
+ "description": "The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Combined Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Moderate Resolution Imaging Spectroradiometer (MODIS) Emissivity for Land (CAMEL) data suite has been expanded to include a monthly global coefficient climatology product (CAM5K30CFCLIM). The product is provided at 0.05 degree (~5 kilometer) resolution. The CAMEL Principal Components Analysis (PCA) input coefficients utilized in the CAMEL high spectral resolution (HSR) algorithm are provided in the CAM5K30CFCLIM data product. This HSR algorithm is accessible in both MATLAB and FORTRAN programming languages, and it corresponds with the temporally equivalent CAM5K30EMCLIM emissivity data product. The HSR emissivity spectra for the same month each year and each unique combination of lab dataset version and number of Principal Components (PC)s are first computed independently and then combined via a weighted average. The weighted average over 2003 through 2021 (19 years) defines the weights by the number of samples from each unique combination. Additional details regarding the methodology are available in the User Guide and Algorithm Theoretical Basis Document (ATBD). Provided in the CAM5K30CFCLIM product are variables for PCA coefficients, the weights and sample numbers of the climatology coefficients used in the average calculation, sets of the number of PCA coefficients, laboratory version numbers, latitude, longitude, and land flag information. PCA coefficients depend on the lab PC data version and the number of PCs used.",
"license": "proprietary"
},
{
@@ -56433,7 +56446,7 @@
"license": "proprietary"
},
{
- "id": "COSMO-SkyMed.full.archive.and.tasking_NA",
+ "id": "COSMO-SkyMed.full.archive.and.tasking_8.0",
"title": "COSMO-SkyMed full archive and tasking",
"catalog": "ESA STAC Catalog",
"state_date": "2008-09-15",
@@ -56441,8 +56454,8 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336822-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336822-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/COSMO-SkyMed.full.archive.and.tasking_NA",
- "description": "The archive and new tasking X-band SAR products are available from COSMO-Skymed (CSK) and COSMO-SkyMed Second Generation (CSG) missions in ScanSAR and Stripmap modes, right and left looking acquisition (20 to 60\u00b0 incidence angle). COSMO-SkyMed modes: Acquisition Mode\t/\tSingle look Resolution [Az. X. Rg, SCS] (m)\t/\tScene size [Az. X. Rg] (km)\t/\tPolarisation\t/\tScene duration (seconds)\t/\tNumber of looks\t/\tMultilook resolution (m)\t/\tGeolocation accuracy \u00b13 s (m)\t// \t/\t/\t/\t/\t/\t[DGM, GEC, GTC]\t// Stripmap Himage\t\t/\t2.6 x 3\t/\t40 x 40\t/\tSingle: HH, HV, VH, VV\t/\t7\t/\t3\t/\t5\t/\t25\t// Stripmap PingPong\t/\t9.7 x 11\t/\t30 x 30\t/\tAlternate: HH/VV, HH/HV, VV/VH\t/\t6\t/\t3\t/\t20\t/\t25\t// ScanSAR Wide\t/\t23 x 13.5\t/\t100 x 100\t/\tSingle: HH, HV, VH, VV\t/\t15\t/\t4 - 9\t/\t30\t/\t30\t// ScanSAR Huge\t/\t38 x 13.5\t/\t200 x 200\t/\tSingle: HH, HV, VH, VV\t/\t30\t/\t25 - 66\t/\t100\t/\t100\t// COSMO-Skymed Second Generation Modes: Acquisition Mode\t/\tSingle look Resolution [Az. X. Rg, SCS] (m)\t/\tScene size [Az. X. Rg] (km)\t/\tPolarisation\t/\tScene duration (seconds)\t/\tNumber of looks\t/\tMultilook resolution (m)10/05/2021 10:28\t/\tGeolocation accuracy \u00b13 s (m)\t// \t/\t/\t/\t/\t/\t[DGM, GEC, GTC]\t// Stripmap\t/\t3 x 3\t/\t40 x 40\t/\tSingle (HH, VV, HV, VH) or Dual (HH+HV, VV+VH)\t/\t7\t/\t2 x 2; 4 x 4\t/\t5 x 5; 11 x 11\t/\t3.75\t// Stripmap PingPong\t/\t12 x 5\t/\t30 x 30\t/\tAlternate (HH/VV, HH/VH-HV/VV)\t/\t6\t/\t1 x 2; 2 x 5\t/\t12 x 10; 22 x 25/\t12\t// ScanSAR 1\t/\t20 x 4\t/\t100 x 100\t/\tSingle (HH, VV, HV, VH) or Dual (HH+HV, VV+VH)\t/\t15\t/\t1 x 3; 1 x 5\t/\t20 x 13; 23 x 27; 35 x 40\t/\t12\t// ScanSAR 2\t/\t40 x 6\t/\t200 x 200\t/\tSingle (HH, VV, HV, VH) or Dual (HH+HV, VV+VH)\t/\t30\t/\t1 x 4; 1 x 7; 3 x 16\t/\t40 x 27; 47 x 54; 115 x 135\t/\t12\t// Following Processing Levels are available, for both CSK and CSG: - SCS (Level 1A, Single-look Complex Slant): data in complex format, in slant range projection (the sensor's natural acquisition projection) and zero doppler projection, weighted and radiometrically equalised; the coverage corresponds to the full resolution area illuminated by the SAR instrument - DGM (Level 1B, Detected Ground Multi-look): product obtained detecting, multi-looking and projecting the Single-look Complex Slant data onto a grid regular in ground: it contains focused data, amplitude detected, optionally despeckled by multi-looking approach, radiometrically equalised and represented in ground/azimuth projection - GEC (Level 1C, Geocoded Ellipsoid Corrected): focused data, amplitude detected, optionally despeckled by multi-looking approach, geolocated on the reference ellipsoid and represented in a uniform preselected cartographic presentation. Any geometric correction derived by usage of terrain model isn't applied to this product by default - GTC (Level 1D, Geocoded Terrain Corrected): focused data, fully calibrated with the usage of terrain model, amplitude detected, optionally despeckled by multi-looking approach, geolocated on a DEM and represented in a uniform preselected cartographic presentation. The image scene is located and accurately rectified onto a map projection, through the use of Ground Control Points (GCPs) and Digital Elevation Model (DEM); it differs from GEC for the use of the DEM (instead of reference ellipsoid) for the accurate conversion from slant to ground range and to approximate the real earth surface The list of available data can be retrieved using the _$$CLEOS COSMO-SkyMed products catalogue$$ https://www.cleos.earth/ . User registration is requested to navigate the catalogue.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/COSMO-SkyMed.full.archive.and.tasking_8.0",
+ "description": "The archive and new tasking X-band SAR products are available from COSMO-Skymed (CSK) and COSMO-SkyMed Second Generation (CSG) missions in ScanSAR and Stripmap modes, right and left looking acquisition (20 to 60\u00b0 incidence angle). COSMO-SkyMed modes: Acquisition Mode\t/\tSingle look Resolution [Az. X. Rg, SCS] (m)\t/\tScene size [Az. X. Rg] (km)\t/\tPolarisation\t/\tScene duration (seconds)\t/\tNumber of looks\t/\tMultilook resolution (m)\t/\tGeolocation accuracy \u00b13 s (m)\t// \t/\t/\t/\t/\t/\t[DGM, GEC, GTC]\t// Stripmap Himage\t\t/\t2.6 x 3\t/\t40 x 40\t/\tSingle: HH, HV, VH, VV\t/\t7\t/\t3\t/\t5\t/\t25\t// Stripmap PingPong\t/\t9.7 x 11\t/\t30 x 30\t/\tAlternate: HH/VV, HH/HV, VV/VH\t/\t6\t/\t3\t/\t20\t/\t25\t// ScanSAR Wide\t/\t23 x 13.5\t/\t100 x 100\t/\tSingle: HH, HV, VH, VV\t/\t15\t/\t4 - 9\t/\t30\t/\t30\t// ScanSAR Huge\t/\t38 x 13.5\t/\t200 x 200\t/\tSingle: HH, HV, VH, VV\t/\t30\t/\t25 - 66\t/\t100\t/\t100\t// COSMO-Skymed Second Generation Modes: Acquisition Mode\t/\tSingle look Resolution [Az. X. Rg, SCS] (m)\t/\tScene size [Az. X. Rg] (km)\t/\tPolarisation\t/\tScene duration (seconds)\t/\tNumber of looks\t/\tMultilook resolution (m)\t/\tGeolocation accuracy \u00b13 s (m)\t// \t/\t/\t/\t/\t/\t[DGM, GEC, GTC]\t// Stripmap\t/\t3 x 3\t/\t40 x 40\t/\tSingle (HH, VV, HV, VH) or Dual (HH+HV, VV+VH)\t/\t7\t/\t2 x 2; 4 x 4\t/\t6 x 7 ; 11 x 14\t/\t3.75 \t// Stripmap PingPong\t/\t12 x 5\t/\t30 x 30\t/\tAlternate (HH/VV, HH/VH-HV/VV)\t/\t6\t/\t1 x 2; 2 x 5\t/\t12 x 10; 23 x 26 /\t12\t// QuadPol\t/\t3 x 3\t/\t40 x 15\t/\tQuad(HH+HV+VV+VH)\t/\tn/a\t/\t2 x 2; 4 x 4\t/\t6 x 7 ; 11 x 14 /\t3.75 \t// ScanSAR 1\t/\t20 x 4\t/\t100 x 100\t/\tSingle (HH, VV, HV, VH) or Dual (HH+HV, VV+VH)\t/\t15\t/\t1 x 3; 1 x 5 ; 2 x 8\t/\t20 x 14; 23 x 27; 35 x 40\t/\t12\t// ScanSAR 2\t/\t40 x 6\t/\t200 x 200\t/\tSingle (HH, VV, HV, VH) or Dual (HH+HV, VV+VH)\t/\t30\t/\t1 x 4; 1 x 7; 3 x 16\t/\t40 x 27; 47 x 54; 115 x 135\t/\t12\t// Following Processing Levels are available, for both CSK and CSG: - SCS (Level 1A, Single-look Complex Slant): data in complex format, in slant range projection (the sensor's natural acquisition projection) and zero doppler projection, weighted and radiometrically equalised; the coverage corresponds to the full resolution area illuminated by the SAR instrument - DGM (Level 1B, Detected Ground Multi-look): product obtained detecting, multi-looking and projecting the Single-look Complex Slant data onto a grid regular in ground: it contains focused data, amplitude detected, optionally despeckled by multi-looking approach, radiometrically equalised and represented in ground/azimuth projection - GEC (Level 1C, Geocoded Ellipsoid Corrected): focused data, amplitude detected, optionally despeckled by multi-looking approach, geolocated on the reference ellipsoid and represented in a uniform preselected cartographic presentation. Any geometric correction derived by usage of terrain model isn't applied to this product by default - GTC (Level 1D, Geocoded Terrain Corrected): focused data, fully calibrated with the usage of terrain model, amplitude detected, optionally despeckled by multi-looking approach, geolocated on a DEM and represented in a uniform preselected cartographic presentation. The image scene is located and accurately rectified onto a map projection, through the use of Ground Control Points (GCPs) and Digital Elevation Model (DEM); it differs from GEC for the use of the DEM (instead of reference ellipsoid) for the accurate conversion from slant to ground range and to approximate the real earth surface The list of available data can be retrieved using the _$$CLEOS COSMO-SkyMed products catalogue$$ https://www.cleos.earth/ . User registration is requested to navigate the catalogue.",
"license": "proprietary"
},
{
@@ -58006,7 +58019,7 @@
"license": "proprietary"
},
{
- "id": "CartoSat-1.archive.and.Euro-Maps.3D.Digital.Surface.Model_NA",
+ "id": "CartoSat-1.archive.and.Euro-Maps.3D.Digital.Surface.Model_6.0",
"title": "CartoSat-1 archive and Euro-Maps 3D Digital Surface Model",
"catalog": "ESA STAC Catalog",
"state_date": "2005-06-01",
@@ -58014,21 +58027,21 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336823-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336823-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/CartoSat-1.archive.and.Euro-Maps.3D.Digital.Surface.Model_NA",
- "description": "CartoSat-1 (also known as IRS-P5) archive products are available as PAN-Aft (backward), PAN-Fore (forward) and Stereo (PAN-Aft and PAN-Fore). - Sensor: PAN - Products: PAN-Aft (backward), PAN-Fore (forward), Stereo (PAN-Aft+PAN-Fore) - Type: Panchromatic - Resolution (m): 2.5 - Coverage (km x km): 27 x 27 - System or radiometrically corrected - Ortho corrected (DN) - Neustralitz archive: 2007 - 2016 - Global archive: 2005 - 2019 Note: - Resolution 2.5 m. - Coverage 27 km x 27 km. - System or radiometrically corrected. For Ortho corrected products: If unavailable, user has to supply ground control information and DEM in suitable quality, - For Stereo ortho corrected: only one of the datasets will be ortho corrected. Euro-Maps 3D is a homogeneous, 5 m spaced digital surface model (DSM) semi-automatically derived from 2.5 m in-flight stereo data provided by IRS-P5 CartoSat-1 and developed in cooperation with the German Aerospace Center, DLR. The very detailed and accurate representation of the surface is achieved by using a sophisticated and well adapted algorithm implemented on the basis of the Semi-Global Matching approach. In addition, the final product includes detailed flanking information consisting of several pixel-based quality and traceability layers also including an ortho layer. Product Overview: - Post spacing: 5m - Spatial reference system: DD, UTM or other projections on WGS84 - Height reference system: EGM96 - Absolute vertical accuracy: LE90 5-10 m - Absolute Horizontal Accuracy: CE90 5-10 m - Relative vertical accuracy: LE90 2.5 m - File format: GeoTIFF, 16 bit - Tiling: 0.5\u00b0 x 0.5\u00b0 - Ortho Layer Pixel Size: 2.5 m The CartoSat-1 products and Euro-Maps 3D are available as part of the GAF Imagery products from the Indian missions: IRS-1C, IRS-1D, CartoSat-1 (IRS-P5), ResourceSat-1 (IRS-P6) and ResourceSat-2 (IRS-R2) missions. \u2018Cartosat-1 archive\u2019 collection has worldwide coverage: for data acquired over Neustrelitz footprint, the users can browse the EOWEB GeoPortal catalogue (http://www.euromap.de/products/serv_003.html) to search archived products; worldwide data (out the Neustrelitz footprint) as well as Euro-Maps 3D DSM products can be requested by contacting GAF user support to check the readiness since no catalogue is available. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/CartoSat-1.archive.and.Euro-Maps.3D.Digital.Surface.Model_6.0",
+ "description": "CartoSat-1 (also known as IRS-P5) archive products are available as PAN-Aft (backward), PAN-Fore (forward) and Stereo (PAN-Aft and PAN-Fore). - Sensor: PAN - Products: PAN-Aft (backward), PAN-Fore (forward), Stereo (PAN-Aft+PAN-Fore) - Type: Panchromatic - Resolution (m): 2.5 - Coverage (km x km): 27 x 27 - System or radiometrically corrected - Ortho corrected (DN) - Neustralitz archive: 2007 - 2016 - Global archive: 2005 - 2019 Note: - Resolution 2.5 m. - Coverage 27 km x 27 km. - System or radiometrically corrected. For Ortho corrected products: If unavailable, user has to supply ground control information and DEM in suitable quality, - For Stereo ortho corrected: only one of the datasets will be ortho corrected. Euro-Maps 3D is a homogeneous, 5 m spaced digital surface model (DSM) semi-automatically derived from 2.5 m in-flight stereo data provided by IRS-P5 CartoSat-1 and developed in cooperation with the German Aerospace Center, DLR. The very detailed and accurate representation of the surface is achieved by using a sophisticated and well adapted algorithm implemented on the basis of the Semi-Global Matching approach. In addition, the final product includes detailed flanking information consisting of several pixel-based quality and traceability layers also including an ortho layer. Product Overview: - Post spacing: 5m - Spatial reference system: DD, UTM or other projections on WGS84 - Height reference system: EGM96 - Absolute vertical accuracy: LE90 5-10 m - Absolute Horizontal Accuracy: CE90 5-10 m - Relative vertical accuracy: LE90 2.5 m - File format: GeoTIFF, 16 bit - Tiling: 0.5\u00b0 x 0.5\u00b0 - Ortho Layer Pixel Size: 2.5 m The CartoSat-1 products and Euro-Maps 3D are available as part of the GAF Imagery products from the Indian missions: IRS-1C, IRS-1D, CartoSat-1 (IRS-P5), ResourceSat-1 (IRS-P6) and ResourceSat-2 (IRS-R2) missions. \u2018Cartosat-1 archive\u2019 collection has worldwide coverage: for data acquired over Neustrelitz footprint, the users can browse the EOWEB GeoPortal catalogue (http://www.euromap.de/products/serv_003.html) to search archived products; worldwide data (out the Neustrelitz footprint) as well as Euro-Maps 3D DSM products can be requested by contacting GAF user support to check the readiness since no catalogue is available. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section.",
"license": "proprietary"
},
{
- "id": "Cartosat-1.Euro-Maps.3D_NA",
+ "id": "Cartosat-1.Euro-Maps.3D_7.0",
"title": "Cartosat-1 Euro-Maps 3D",
"catalog": "ESA STAC Catalog",
"state_date": "2019-11-12",
- "end_date": "2020-04-08",
- "bbox": "-19, -26, 35, 66",
+ "end_date": "2022-11-08",
+ "bbox": "-33, 27, 47, 72",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2547572699-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2547572699-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Cartosat-1.Euro-Maps.3D_NA",
- "description": "A large number of European cities are covered by this dataset; for each city you can find one or more Euro-Maps 3D DSM products and one or more ortho images, both obtained from IRS-P5 Cartosat-1 imagery The Euro-Maps 3D DSM data is a homogeneous, 5 m spaced Digital Surface Model semi-automatically derived from 2.5 m in-flight stereo data with a vertical accuracy of 10m. The very detailed and accurate representation of the surface is achieved by using a sophisticated and well adapted algorithm implemented on the basis of the Semi-Global Matching approach. The final product includes several pixel-based quality and traceability layers: \u2022\tThe dsm layer (dsm.tif) contains the elevation heights as a geocoded raster file \u2022\tThe source layer (src.tif) contains information about the data source for each height value/pixel \u2022\tThe number layer (num.tif) contains for each height value/pixel the number of IRS-P5 Cartosat-1 stereo pairs used for the generation of the DEM \u2022\tThe quality layer (qc.tif) is set to 1 for each height/pixel value derived from IRS-P5 Cartosat-1 data and which meets or exceeds the product specifications \u2022\tThe accuracy vertical layer (acv.tif) contains the absolute vertical accuracy for each quality controlled height value/pixel. The ortho image is a Panchromatic image at 2.5m resolution. The following table defines the offered product types EO-SIP product type\tDescription PAN_PAM_3O\tIRS-P5 Cartosat-1 ortho image DSM_DEM_3D\tIRS-P5 Cartosat-1 DSM",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Cartosat-1.Euro-Maps.3D_7.0",
+ "description": "A large number of European cities are covered by this dataset; for each city you can find one or more Cartosat-1 ortho image products and one or more Euro-Maps 3D DSM tiles clipped to the extent of the ortho coverage. The Euro-Maps 3D DSM is a homogeneous, 5 m spaced Digital Surface Model semi-automatically derived from 2.5 m Cartosat-1 in-flight stereo data with a vertical accuracy of 10 m. The very detailed and accurate representation of the surface is achieved by using a sophisticated and well adapted algorithm implemented on the basis of the Semi-Global Matching approach. The final product includes several pixel-based quality and traceability layers: The dsm layer (*_dsm.tif) contains the elevation heights as a geocoded raster file The source layer (*_src.tif) contains information about the data source for each height value/pixel The number layer (*_num.tif) contains for each height value/pixel the number of IRS-P5 Cartosat-1 stereo pairs used for the generation of the DEM The quality layer (*_qc.tif) is set to 1 for each height/pixel value derived from IRS-P5 Cartosat-1 data and which meets or exceeds the product specifications The accuracy vertical layer (*_acv.tif) contains the absolute vertical accuracy for each quality controlled height value/pixel. The ortho image is a Panchromatic image at 2.5 m resolution. The following table defines the offered product types. EO-SIP product type\tDescription PAN_PAM_3O\tIRS-P5 Cartosat-1 ortho image DSM_DEM_3D\tIRS-P5 Cartosat-1 DSM",
"license": "proprietary"
},
{
@@ -58396,7 +58409,7 @@
"license": "proprietary"
},
{
- "id": "CosmoSkyMed_NA",
+ "id": "CosmoSkyMed_9.0",
"title": "COSMO-SkyMed ESA archive",
"catalog": "ESA STAC Catalog",
"state_date": "2008-09-15",
@@ -58404,8 +58417,8 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2207498771-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2207498771-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/CosmoSkyMed_NA",
- "description": "The COSMO-SkyMed ESA archive collection is a dataset of COSMO-SkyMed products that ESA collected over the years with worldwide coverage. The dataset regularly grows as ESA collects new products. The following list delineates the characteristics of the SAR measurement modes that are disseminated under ESA Third Party Missions (TPM). - STRIPMAP HIMAGE (HIM): achieving medium resolution (3m x 3m single look), wide swath imaging (swath extension \u226540 km) . - STRIPMAP PINGPONG (SPP): achieving medium resolution (15 m)), medium swath imaging (swath \u226530 km) with two radar polarization's selectable among HH, HV, VH and VV. - SCANSAR WIDE (SCW): achieving radar imaging with swath extension of 100x100 km2 and a spatial resolution of 30x30 m2. - SCANSAR HUGE (SCH): achieving radar imaging with swath extension of 200x200 km2 and a spatial resolution selectable of 100x100 m2. Processing Levels: - Level 1A - Single-look Complex Slant (SCSB and SCSU) : RAW data focused in slant range-azimuth projection, that is the sensor natural acquisition projection; product contains In-Phase and Quadrature of the focused data, weighted and radiometrically equalised. The processing of the 1A_SCSU product differs from that of the 1A_SCSB product for the following features: a non-weighted processing is performed, which means that windowing isn't applied on the processed bandwidth; radiometric equalisation (in terms of compensation of the range antenna pattern and incidence angle) is not performed; hence only compensation of the antenna transmitter gain and receiver attenuation and range spreading loss is applied.\u2022 Level 1B - Detected Ground Multi-look (DGM): product obtained detecting, multi-looking and projecting the Single-look Complex Slant data onto a grid regular in ground. Spotlight Mode products are not multi-looked - Level 1C - Geocoded Ellipsoid Corrected (GEC) and Level 1D - Geocoded Terrain Corrected (GTC): Obtained projecting the Level 1A product onto a regular grid in a chosen cartographic reference system. In case of Lev 1C the surface is the earth ellipsoid while for the Lev 1D a DEM (Digital Elevation Model) is used to approximate the real earth surface. Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/smcat/CosmoSkyMed/ available on the Third Party Missions Dissemination Service.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/CosmoSkyMed_9.0",
+ "description": "The COSMO-SkyMed ESA archive collection is a dataset of COSMO-SkyMed products that ESA collected over the years with worldwide coverage. The dataset regularly grows as ESA collects new products. The following list delineates the characteristics of the SAR measurement modes that are disseminated under ESA Third Party Missions (TPM). - STRIPMAP HIMAGE (HIM): achieving medium resolution (3m x 3m single look), wide swath imaging (swath extension \u226540 km) . - STRIPMAP PINGPONG (SPP): achieving medium resolution (15 m)), medium swath imaging (swath \u226530 km) with two radar polarization's selectable among HH, HV, VH and VV. - SCANSAR WIDE (SCW): achieving radar imaging with swath extension of 100x100 km2 and a spatial resolution of 30x30 m2. - SCANSAR HUGE (SCH): achieving radar imaging with swath extension of 200x200 km2 and a spatial resolution selectable of 100x100 m2. Processing Levels: - Level 1A - Single-look Complex Slant (SCSB and SCSU) : RAW data focused in slant range-azimuth projection, that is the sensor natural acquisition projection; product contains In-Phase and Quadrature of the focused data, weighted and radiometrically equalised. The processing of the 1A_SCSU product differs from that of the 1A_SCSB product for the following features: a non-weighted processing is performed, which means that windowing isn't applied on the processed bandwidth; radiometric equalisation (in terms of compensation of the range antenna pattern and incidence angle) is not performed; hence only compensation of the antenna transmitter gain and receiver attenuation and range spreading loss is applied.\u2022 Level 1B - Detected Ground Multi-look (DGM): product obtained detecting, multi-looking and projecting the Single-look Complex Slant data onto a grid regular in ground. Spotlight Mode products are not multi-looked - Level 1C - Geocoded Ellipsoid Corrected (GEC) and Level 1D - Geocoded Terrain Corrected (GTC): Obtained projecting the Level 1A product onto a regular grid in a chosen cartographic reference system. In case of Lev 1C the surface is the earth ellipsoid while for the Lev 1D a DEM (Digital Elevation Model) is used to approximate the real earth surface. Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/smcat/CosmoSkyMed/ available on the Third Party Missions Dissemination Service.",
"license": "proprietary"
},
{
@@ -60982,19 +60995,6 @@
"description": "Declassified satellite images provide an important worldwide record of land-surface change. With the success of the first release of classified satellite photography in 1995, images from U.S. military intelligence satellites KH-7 and KH-9 were declassified in accordance with Executive Order 12951 in 2002. The data were originally used for cartographic information and reconnaissance for U.S. intelligence agencies. Since the images could be of historical value for global change research and were no longer critical to national security, the collection was made available to the public. Keyhole (KH) satellite systems KH-7 and KH-9 acquired photographs of the Earth\u2019s surface with a telescopic camera system and transported the exposed film through the use of recovery capsules. The capsules or buckets were de-orbited and retrieved by aircraft while the capsules parachuted to earth. The exposed film was developed and the images were analyzed for a range of military applications. The KH-7 surveillance system was a high resolution imaging system that was operational from July 1963 to June 1967. Approximately 18,000 black-and-white images and 230 color images are available from the 38 missions flown during this program. Key features for this program were larger area of coverage and improved ground resolution. The cameras acquired imagery in continuous lengthwise sweeps of the terrain. KH-7 images are 9 inches wide, vary in length from 4 inches to 500 feet long, and have a resolution of 2 to 4 feet. The KH-9 mapping program was operational from March 1973 to October 1980 and was designed to support mapping requirements and exact positioning of geographical points for the military. This was accomplished by using image overlap for stereo coverage and by using a camera system with a reseau grid to correct image distortion. The KH-9 framing cameras produced 9 x 18 inch imagery at a resolution of 20-30 feet. Approximately 29,000 mapping images were acquired from 12 missions. The original film sources are maintained by the National Archives and Records Administration (NARA). Duplicate film sources held in the USGS EROS Center archive are used to produce digital copies of the imagery.",
"license": "proprietary"
},
- {
- "id": "Deimos-1.and.2.ESA.archive_NA",
- "title": "GEOSAT-1 and 2 ESA archive",
- "catalog": "ESA STAC Catalog",
- "state_date": "2009-08-01",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336826-ESA.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336826-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Deimos-1.and.2.ESA.archive_NA",
- "description": "GEOSAT 1 and 2 collection is composed of products acquired by the GEOSAT 1 and GEOSAT 2 Spanish satellites. The collection regularly grows as ESA collects new products. GEOSAT-1 standard products offered are: \u2022 SL6_22P: SLIM6, 22m spatial resolution, from bank P \u2022 SL6_22S: SLIM6, 22m spatial resolution, from bank S \u2022 SL6_22T: SLIM6, 22m spatial resolution, 2 banks merged together GEOSAT-1 products are available in two different processing levels: \u2022 Level 1R: All 3 Spectral channels combined into a band-registered image using L0R data. Geopositioned product based on rigorous sensor model. Coefficients derived from internal and external satellite orientation parameters coming from telemetry and appended to metadata. \u2022 Level 1T: data Orthorectified to sub-pixel accuracy (10 meters RMS error approximately) with respect to Landsat ETM+ reference data and hole-filled seamless SRTM DEM data V3, 2006 (90 m). The use of the GCPs, it is not automatic, as it is done manually, which gives greater precision. (GCPs by human operators). GEOSAT-2 standard products offered are: \u2022 Pan-sharpened (HRA_PSH four-band image, HRA_PS3 321 Natural Colours, HRA_PS4 432 False Colours): a four-band image, resulting from adding the information of each multispectral band to the panchromatic band. The fusion does not preserve all spectral features of the multispectral bands, so it should not be used for radiometric purposes. \u2022 Panchromatic (HRA_PAN): a single-band image coming from the panchromatic sensor.HRA_MS4: Multispectral (HRA_MS4): a four-band image coming for the multispectral sensor, with band co-registration. \u2022 Bundle (HRA_PM4): a five-band image contains the panchromatic and multispectral products packaged together, with band co-registration. \u2022 Stereo Pair (HRA_STP): The image products obtained from two acquisitions of the same target performed from different viewpoints in the same pass by using the agility feature of the platform. It can be provided as a pair of pan sharpened or panchromatic images. GEOSAT-2 products are available in two different processing levels: \u2022 Level 1B: A calibrated and radiometrically corrected product, but not resampled. The product includes the Rational Polynomial Coefficients (RPC), the metadata with gain and bias values for each band, needed to convert the digital numbers into radiances at pixel level, and information about geographic projection (EPGS), corners geolocation, etc. \u2022 Level 1C: A calibrated and radiometrically corrected product, manually orthorectified and resampled to a map grid. The geometric information is contained in the GeoTIFF tags. Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/smcat/GEOSAT/ available on the Third Party Missions Dissemination Service.",
- "license": "proprietary"
- },
{
"id": "Del_Ches_Bay_Fluorescence_0",
"title": "Fluorescence measurements along Chesapeake Bay and Delaware coast",
@@ -64545,7 +64545,7 @@
"license": "proprietary"
},
{
- "id": "ENVISAT.ASA.APM_1P_NA",
+ "id": "ENVISAT.ASA.APM_1P_9.0",
"title": "Envisat ASAR AP Medium Resolution L1 [ASA_APM_1P]",
"catalog": "ESA STAC Catalog",
"state_date": "2002-11-15",
@@ -64553,12 +64553,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336832-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336832-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.ASA.APM_1P_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.ASA.APM_1P_9.0",
"description": "This ASAR Alternating Polarization Medium Resolution Image product has been generated from Level 0 data collected when the instrument was in Alternating Polarisation Mode. The product has lower geometric resolution but higher radiometric resolution than ASA_APP and contains one or two co-registered images corresponding to one of the three polarisation combination submodes (HH and VV, HH and HV, VV and VH). This product has been processed using the SPECAN algorithm and contains radiometric resolution good enough for ice applications and covers a continuous area along the imaging swath. The ASAR AP L0 full mission data archive has been bulk processed to Level 1 (ASA_APM_1P) in Envisat format with the IPF-ASAR processor version 6.03. Spatial Resolution: 150 m ground range x 150 m azimuth",
"license": "proprietary"
},
{
- "id": "ENVISAT.ASA.APP_1P_NA",
+ "id": "ENVISAT.ASA.APP_1P_8.0",
"title": "Envisat ASAR AP Precision L1 [ASA_APP_1P]",
"catalog": "ESA STAC Catalog",
"state_date": "2002-11-15",
@@ -64566,12 +64566,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1532648142-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1532648142-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.ASA.APP_1P_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.ASA.APP_1P_8.0",
"description": "This ASAR Alternating Polarisation Mode Precision product is generated from Level 0 data collected when the instrument is in Alternating Polarisation Mode (7 possible swaths). The product contains two CO-registered images corresponding to one of the three polarisation combination submodes (HH and VV, HH and HV, VV and VH). This is a stand-alone multi-look, ground range, narrow swath digital image generated using the SPECAN algorithm and the most up to date auxiliary information available at the time of processing. Engineering corrections and relative calibration (antenna elevation gain, range spreading loss) are applied to compensate for well-understood sources of system variability. Generation of this product uses a technique to allow half the looks of an image to be acquired in horizontal polarisation and the other half in vertical polarisation and processed to 30-m resolution (with the exception of IS1). Absolute calibration parameters are available depending on external calibration activities and are provided in the product annotations. Spatial Resolution: 30 m ground range x 30 m azimuth",
"license": "proprietary"
},
{
- "id": "ENVISAT.ASA.APS_1P_NA",
+ "id": "ENVISAT.ASA.APS_1P_8.0",
"title": "Envisat ASAR AP Single-Look Complex L1 [ASA_APS_1P]",
"catalog": "ESA STAC Catalog",
"state_date": "2002-11-15",
@@ -64579,12 +64579,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1532648143-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1532648143-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.ASA.APS_1P_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.ASA.APS_1P_8.0",
"description": "This product is a complex, slant-range, digital image generated from Level 0 data collected when the instrument is in Alternating Polarisation mode. (7 possible swaths). It contains two CO-registered images corresponding to one of the three polarisation combination submodes (HH and VV, HH and HV, VV and VH). In addition, the product uses the Range Doppler algorithm and the most up to date processing parameters available at the time of processing. It can be used to derive higher level products for SAR image quality assessment, calibration and interferometric applications, if allowed by the instrument acquisition. A minimum number of corrections and interpolations are performed on the data in order to allow the end-user maximum freedom to derive higher level products. Complex output data is retained to avoid loss of information. Absolute calibration parameters are available depending on external calibration activities and are provided in the product annotations. Spatial Resolution: approximately 8m slant range x approximately 4m azimuth",
"license": "proprietary"
},
{
- "id": "ENVISAT.ASA.GM1_1P_NA",
+ "id": "ENVISAT.ASA.GM1_1P_9.0",
"title": "Envisat ASAR Global Monitoring L1 [ASA_GM1_1P]",
"catalog": "ESA STAC Catalog",
"state_date": "2004-02-02",
@@ -64592,12 +64592,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336835-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336835-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.ASA.GM1_1P_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.ASA.GM1_1P_9.0",
"description": "This product has been generated from Level 0 data collected when the instrument was in Global Monitoring Mode. One product covers a full orbit. The product includes slant range to ground range corrections. This strip-line product is the standard for ASAR Global Monitoring Mode. It is processed to approximately 1 km resolution using the SPECAN algorithm. The swath width is approximately 400 km. The ASAR GM L0 full mission data archive has been bulk processed to Level 1 (ASA_GM1_1P) in Envisat format with the IPF-ASAR processor version 6.03. Spatial Resolution: 1 km ground range x 1 km azimuth.",
"license": "proprietary"
},
{
- "id": "ENVISAT.ASA.IMM_1P_NA",
+ "id": "ENVISAT.ASA.IMM_1P_9.0",
"title": "Envisat ASAR IM Medium Resolution L1 [ASA_IMM_1P]",
"catalog": "ESA STAC Catalog",
"state_date": "2002-10-18",
@@ -64605,12 +64605,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336836-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336836-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.ASA.IMM_1P_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.ASA.IMM_1P_9.0",
"description": "This ASAR Medium Resolution strip-line product has been generated from Level 0 data collected when the instrument was in Image Mode. This product has lower resolution but higher radiometric resolution than the ASA_IMP. The product covers a continuous area along the imaging swath and features an ENL (radiometric resolution) good enough for ice applications. It is intended to perform applications-oriented analysis on large scale phenomena and multi-temporal imaging. This product provides a continuation of the ERS-SAR Image Mode data. The ASAR IM L0 full mission data archive has been bulk processed to Level 1 (ASA_IMM_1P) in Envisat format with the IPF-ASAR processor version 6.03. Spatial Resolution: 150 m ground range x 150 m azimuth",
"license": "proprietary"
},
{
- "id": "ENVISAT.ASA.IMP_1P_NA",
+ "id": "ENVISAT.ASA.IMP_1P_8.0",
"title": "Envisat ASAR IM Precision L1 [ASA_IMP_1P]",
"catalog": "ESA STAC Catalog",
"state_date": "2002-10-18",
@@ -64618,12 +64618,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1532648144-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1532648144-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.ASA.IMP_1P_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.ASA.IMP_1P_8.0",
"description": "This is a multi-look, ground range, digital Precision Image generated from Level 0 data collected when the instrument was in Image Mode (7 possible swaths HH or VV polarisation). The product includes slant range to ground range correction. It is for users wishing to perform applications-oriented analysis and applies to multi-temporal imaging and to derive backscattering coefficients. The stand-alone image is generated using the Range/Doppler algorithm. The processing uses up to date (at time of processing) auxiliary parameters corrected for antenna elevation gain, and range spreading loss. Engineering corrections and relative calibration are applied to compensate for well-understood sources of system variability. Absolute calibration parameters, when available (depending on external calibration activities) are provided in the product annotations. This product provides a continuation of the ERS-SAR_PRI product. Spatial Resolution: 30 m ground range x 30 m azimuth",
"license": "proprietary"
},
{
- "id": "ENVISAT.ASA.IMS_1P_NA",
+ "id": "ENVISAT.ASA.IMS_1P_8.0",
"title": "Envisat ASAR IM Single Look Complex L1 [ASA_IMS_1P]",
"catalog": "ESA STAC Catalog",
"state_date": "2002-10-18",
@@ -64631,12 +64631,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1532648145-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1532648145-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.ASA.IMS_1P_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.ASA.IMS_1P_8.0",
"description": "This data product represents a single-look, complex, slant-range, digital image generated from Level 0 ASAR data collected when the instrument is in Image Mode. Seven possible swaths in HH or VV polarisation are available. The product is primarily intended for use in SAR quality assessment and calibration or applications requiring complex SAR images such as interferometry, and can be used to derive higher level products. The spatial coverage is about 100 km along track per 56- 100 km across track, and the radiometric resolution is 1 look in azimuth, 1 look in range. The file size is 741 Mbytes. It is worth highlighting that Azimuth pixel spacing depends on Earth-Satellite relative velocity and actual PRF and slant range pixel spacing is given by ASAR sampling frequency (19.208 Mhz). Auxiliary data include: Orbit state vector, Time correlation parameters, Main Processing parameters ADS, Doppler Centroid ADS, Chirp ADS, Antenna Elevation Pattern ADS, Geolocation Grid ADS, SQ ADS. Spatial Resolution: approximately 8m slant range x approximately 4m azimuth",
"license": "proprietary"
},
{
- "id": "ENVISAT.ASA.IM__0P_NA",
+ "id": "ENVISAT.ASA.IM__0P_9.0",
"title": "Envisat ASAR IM L0 [ASA_IM__0P]",
"catalog": "ESA STAC Catalog",
"state_date": "2002-10-18",
@@ -64644,12 +64644,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336838-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336838-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.ASA.IM__0P_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.ASA.IM__0P_9.0",
"description": "The ASAR Image Mode source packets Level 0 data product offers Level 0 data for possible images processing on an other processing site. It includes some mandatory information for SAR processing. The Image Mode Level 0 product consists of time-ordered Annotated Instrument Source Packets (AISPs) collected by the instrument in Image Mode. The echo samples contained in the AISPs are compressed to 4 bits/sample using Flexible Block Adaptive Quantisation (FBAQ). This is a high-rate, narrow swath mode so data is only acquired for partial orbit segments and may be from one of seven possible image swaths. The Level 0 product is produced systematically for all data acquired within this mode. This product provides a continuation of the ERS-SAR_RAW product.",
"license": "proprietary"
},
{
- "id": "ENVISAT.ASA.WSM_1P_NA",
+ "id": "ENVISAT.ASA.WSM_1P_10.0",
"title": "Envisat ASAR WS Medium Resolution L1 [ASA_WSM_1P]",
"catalog": "ESA STAC Catalog",
"state_date": "2002-10-28",
@@ -64657,12 +64657,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336840-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336840-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.ASA.WSM_1P_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.ASA.WSM_1P_10.0",
"description": "This strip-line product has been generated from Level 0 data collected when the instrument was in Wide Swath Mode. The product includes slant range to ground range corrections and it covers a continuous area along the imaging swath. It is intended to perform applications-oriented analysis on large scale phenomena over a wide region and for multi-temporal imaging. This is the standard product for ASAR Wide Swath Mode. The ASAR WS L0 full mission data archive has been bulk processed to Level 1 (ASA_WSM_1P) in Envisat format with the IPF-ASAR processor version 6.03. Spatial Resolution: 150 m slant range x 150 m azimuth.",
"license": "proprietary"
},
{
- "id": "ENVISAT.ASA.WSS_1P_NA",
+ "id": "ENVISAT.ASA.WSS_1P_8.0",
"title": "Envisat ASAR WS Single Look Complex L1 [ASA_WSS_1P]",
"catalog": "ESA STAC Catalog",
"state_date": "2002-10-28",
@@ -64670,12 +64670,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1532648146-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1532648146-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.ASA.WSS_1P_NA",
- "description": "The Level-1B data product offered by ESA from the ASAR Wide-Swath Mode (WS) is the multi-look detected product (ASA_WSM_1P), intended to support applications that exploit intensity data. In order to support the development of new applications with the ASAR ScanSAR data, a WSM product providing phase information has been developed and implemented in the ESA ASAR processor, the Wide-Swath Single-Look complex product (ASA_WSS_1P). This product is mainly used for INSAR applications based either on wide-swath/wide-swath pairs or wide-swath/image mode pairs, applications of ocean current mapping, large-area ocean wave retrievals, and atmospheric water vapour characterisation. It shall be mentioned that the standard ESA WSS product is based on the prototype WSS processor developed by Polimi/Poliba, which has also been used to generate prototype products for testing the potential and preparing the exploitation of the WSS product. The ESA ASA_WSS_1P product is available as a standard Envisat ASAR product. The ASA_WSS_1P product format is slightly different from other ASAR products since: - there are 5 different MDSs, one per sub-swath - a \"Doppler Grid\" ADS has been included to support ocean current mapping applications - there are 5 records in the MPP ADS, one per sub-swath - there are 5 records in the SQ ADS, one per sub-swath Other key characteristics of the ASA_WSS_1P product are summarised below: - processing is fully phase preserving - data in the MDSs is sampled in a common grid both in range and in azimuth - standard product is 60 sec long with 80 m az. pixel spacing - auxiliary timeline information has been added in the Main Processing Parameters ADS - elevation antenna pattern correction is applied by default (although the product is a single-look complex) - Spatial Resolution: approximately 8 m slant range x 80 m azimuth",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.ASA.WSS_1P_8.0",
+ "description": "The Level-1B data product offered by ESA from the ASAR Wide-Swath Mode (WS) is the multi-look detected product (ASA_WSM_1P), intended to support applications that exploit intensity data. In order to support the development of new applications with the ASAR ScanSAR data, a WSM product providing phase information has been developed and implemented in the ESA ASAR processor, the Wide-Swath Single-Look complex product (ASA_WSS_1P). This product is mainly used for INSAR applications based either on wide-swath/wide-swath pairs or wide-swath/image mode pairs, applications of ocean current mapping, large-area ocean wave retrievals, and atmospheric water vapour characterisation. It shall be mentioned that the standard ESA WSS product is based on the prototype WSS processor developed by Polimi/Poliba, which has also been used to generate prototype products for testing the potential and preparing the exploitation of the WSS product. The ESA ASA_WSS_1P product is available as a standard Envisat ASAR product. The ASA_WSS_1P product format is slightly different from other ASAR products since: - there are 5 different MDSs, one per sub-swath - a "Doppler Grid" ADS has been included to support ocean current mapping applications - there are 5 records in the MPP ADS, one per sub-swath - there are 5 records in the SQ ADS, one per sub-swath Other key characteristics of the ASA_WSS_1P product are summarised below: - processing is fully phase preserving - data in the MDSs is sampled in a common grid both in range and in azimuth - standard product is 60 sec long with 80 m az. pixel spacing - auxiliary timeline information has been added in the Main Processing Parameters ADS - elevation antenna pattern correction is applied by default (although the product is a single-look complex) - Spatial Resolution: approximately 8 m slant range x 80 m azimuth",
"license": "proprietary"
},
{
- "id": "ENVISAT.ASA.WS__0P_NA",
+ "id": "ENVISAT.ASA.WS__0P_9.0",
"title": "Envisat ASAR WS L0 [ASA_WS__0P]",
"catalog": "ESA STAC Catalog",
"state_date": "2002-10-28",
@@ -64683,12 +64683,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336842-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336842-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.ASA.WS__0P_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.ASA.WS__0P_9.0",
"description": "The WS Mode Level 0 product consists of time-ordered AISPs collected while the instrument was is in Wide Swath Mode. The echo samples in the AISPs have been compressed to 4 bits/sample using FBAQ. This is a high-rate, wide swath (ScanSAR) mode so data is only acquired for partial orbit segments and is composed of data from five image swaths (SS1 to SS5). The Level 0 product is produced systematically for all data acquired within this mode. The objective of this product is to offer Level 0 data for possible images processing on another processing site. It includes mandatory information for SAR processing. Data Size: 400 km across track x 400 km along track",
"license": "proprietary"
},
{
- "id": "ENVISAT.ASA.WVI_1P_NA",
+ "id": "ENVISAT.ASA.WVI_1P_7.0",
"title": "Envisat ASAR Wave SLC and Cross-Spectra Imagettes L1 [ASA_WVI_1P]",
"catalog": "ESA STAC Catalog",
"state_date": "2002-10-30",
@@ -64696,129 +64696,38 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336843-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336843-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.ASA.WVI_1P_NA",
- "description": "This is the basic Level 1B ASAR Wave Mode product, including up to 400 single-look, complex, slant range, imagettes generated from Level 0 data and up to 400 imagette power spectra computed using the cross-spectra methodology. The auxiliary parameters used are the most up-to-date at the time of processing. A minimum number of corrections and interpolations are performed in order to allow the end-user maximum freedom to derive higher level products. Complex output data is retained to avoid loss of information. Absolute calibration parameters, when available (depending on external calibration activities), is provided in the product annotations. Imagette power spectrum is equivalent to the ERS UWA (Near Real Time) product with revisited algorithm (cross-spectra) taking into account the higher quality of the SLC imagette. Note that starting from an SLC imagette, generation of an ERS UWA-type product might be ensured by a simple look detection and summation. This product provides a continuation of the ERS-SAR wave mode data. Imagette Spatial Resolution: 20 m ground range x 20 m azimuth Cross Spectra Output: Wavelength range from 20 to 1000 m in 24 logarithmic steps",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.ASA.WVI_1P_7.0",
+ "description": "This is the basic Level 1B ASAR Wave Mode product, including up to 400 single-look, complex, slant range, imagettes generated from Level 0 data, and up to 400 imagette power spectra computed using the cross-spectra methodology. The auxiliary parameters used are the most up to date at the time of processing. A minimum number of corrections and interpolations are performed in order to allow the end-user maximum freedom to derive higher level products. Complex output data is retained to avoid loss of information. Absolute calibration parameters, when available (depending on external calibration activities), are provided in the product annotations. Imagette power spectrum is equivalent to the ERS UWA (Near Real Time) product with revisited algorithm (cross-spectra) taking into account the higher quality of the SLC imagette. Note that starting from an SLC imagette, the generation of an ERS UWA-type product might be ensured by a simple look detection and summation. This product provides a continuation of the ERS SAR Wave Mode data. The ASAR Wave products were processed operationally using the version of PF-ASAR available at the time of processing and are available in Envisat format. Imagette Spatial Resolution: 20 m ground range x 20 m azimuth. Cross Spectra Output: Wavelength range from 20 to 1000 m in 24 logarithmic steps.",
"license": "proprietary"
},
{
- "id": "ENVISAT.ASA.WVS_1P_NA",
- "title": "Envisat ASAR Wave Imagette Cross Spectra L1 [ASA_WVS_P]",
+ "id": "ENVISAT.ASA.WVS_1P_7.0",
+ "title": "Envisat ASAR Wave Cross Spectra Imagette L1 [ASA_WVS_1P]",
"catalog": "ESA STAC Catalog",
"state_date": "2002-12-10",
"end_date": "2012-04-08",
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336844-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336844-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.ASA.WVS_1P_NA",
- "description": "This ASAR Wave product is extracted from the combined SLC and Cross Spectra product ASA_WVI_1P generated from data collected when the instrument was in Wave Mode using the Cross Spectra methodology. The product is meant for Meteo users. The spatial coverage is up to 20 spectra acquired every 100 km, with a minimum coverage of 5km x 5km. The file size has a maximum of 0.2 Mbytes. Auxiliary data include Orbit state vector, Time correlation parameters, Wave Processing parameters ADS, Wave Geolocation ADS, SQ ADS. This product provides a continuation of the ERS-SAR wave mode data. Output: Wavelength range from 20 to 1000 m in 24 logarithmic steps.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.ASA.WVS_1P_7.0",
+ "description": "This ASAR Wave Mode product is extracted from the combined SLC and Cross Spectra product,(_$$ASA_WVI_1P$$ https://earth.esa.int/eogateway/catalog/envisat-asar-wave-slc-and-cross-spectra-imagettes-l1-asa_wvi_1p-), which is generated from data collected when the instrument was in Wave Mode using the Cross Spectra methodology. The product is meant for Meteo users. The spatial coverage is up to 20 spectra acquired every 100 km, with a minimum coverage of 5km x 5km. The file size has a maximum of 0.2 Mbytes. Auxiliary data include Orbit state vector, Time correlation parameters, Wave Processing parameters ADS, Wave Geolocation ADS, and SQ ADS. The product provides a continuation of the ERS -SAR Wave Mode data. The ASAR Wave products were processed operationally using the version of PF-ASAR available at the time of .processing and are available in Envisat format. Output: Wavelength range from 20 to 1000 m in 24 logarithmic steps.",
"license": "proprietary"
},
{
- "id": "ENVISAT.ASA.WVW_2P_NA",
- "title": "Envisat ASAR WM Ocean Wave Spectra L2 [ASA_WVW_2P]",
+ "id": "ENVISAT.ASA.WVW_2P_7.0",
+ "title": "Envisat ASAR WM Ocean Wave Spectra L2 [ASA_WVW_2P]",
"catalog": "ESA STAC Catalog",
"state_date": "2002-12-10",
"end_date": "2012-04-08",
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336846-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336846-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.ASA.WVW_2P_NA",
- "description": "This ASAR Wave Mode product is created by inverting the cross-spectra computed from inter-look processing of the SLC wave imagettes to derive the directional ocean product ocean wave spectra. Auxiliary ADSs included with the product remains the same as for the ASAR Wave Mode Cross-Spectra product. The output follows the format of the Envisat ASAR Level 1B Wave Mode Imagette Cross-Spectra (ASA_WVS_1P) product. This is done in order to be compatible with the ground segment products of Envisat ASAR. This product provides a continuation of the ERS-SAR wave mode data. Output: Wavelength range from 20 to 1000 m in 24 logarithmic steps",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.ASA.WVW_2P_7.0",
+ "description": "This ASAR Wave Mode product is created by inverting the cross-spectra which is computed from inter-look processing of the SLC wave imagettes in order to derive the directional ocean product ocean wave spectra. Auxiliary ADSs included with the product remains the same as for the ASAR Wave Mode Cross-Spectra product (_$$ASA_WVS_1P$$ https://earth.esa.int/eogateway/catalog/envisat-asar-wave-imagette-cross-spectra-l1-asa_wvs_p- ). The output follows the format of the Envisat ASAR Level 1B Wave Mode Cross-Spectra Imagette (_$$ASA_WVS_1P$$ https://earth.esa.int/eogateway/catalog/envisat-asar-wave-imagette-cross-spectra-l1-asa_wvs_p- ) product. This is done in order to be compatible with the ground segment products of Envisat ASAR. This product provides a continuation of the ERS SAR Wave Mode data. The ASAR Wave products were processed operationally using the version of PF-ASAR available at the time of processing and are available in Envisat format. Output: Wavelength range from 20 to 1000 m in 24 logarithmic steps.",
"license": "proprietary"
},
{
- "id": "ENVISAT.ATS.AR__2P_NA",
- "title": "Envisat AATSR Averaged Surface Temperature (AST) Product [ATS_AR__2P]",
- "catalog": "ESA STAC Catalog",
- "state_date": "2002-05-20",
- "end_date": "2012-04-08",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336847-ESA.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336847-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.ATS.AR__2P_NA",
- "description": "The Averaged Surface Temperature (AST) Product contains averaged geophysical data at two different resolutions, and with respect to two different averaging schemes. Measurement data sets at resolutions of 0.5 by 0.5 degrees and 10 by 10 arcmin with respect to a latitude/longitude grid provide continuity with existing ATSR products. Other data sets contain data averaged over equal area cells of 50 by 50 km and 17 by 17 km aligned with the satellite ground track. Both top-of-atmosphere and surface data sets are provided. The surface temperature data sets provide, for sea cells, nadir and dual view sea surface temperatures, and for land cells, land surface temperature and NDVI. Cloud data is also included. No ADS are included in the AST product; auxiliary data is contained within the MDS. The data sets of the AST product are arranged by surface type and resolution. This product is a continuation of ERS ATSR data. The 3rd reprocessing of AATSR data was performed in 2013; the processing updates that have been put in place and the scientific improvements are outlined in full in the User Summary Note for the Third Envisat AATSR Reprocessing https://earth.esa.int/eogateway/documents/20142/37627/IDEAS-VEG-OQC-REP-2148-%28A%29ATSR-Third+Reprocessing-Dataset-User-Summary-v1-0.pdf",
- "license": "proprietary"
- },
- {
- "id": "ENVISAT.ATS.LST_2P_NA",
- "title": "Envisat AATSR Level 2 LST products from UOL [ATS_LST_2P]",
- "catalog": "ESA STAC Catalog",
- "state_date": "2002-05-20",
- "end_date": "2012-04-08",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336848-ESA.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336848-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.ATS.LST_2P_NA",
- "description": "The UOL LST product contains full resolution nadir-view Land Surface Temperature (LST) values, generated by the University of Leicester (UOL). These products use the same LST retrieval method as the Gridded Surface Temperature (ATS_NR__2P) products, however significantly improved auxiliary datasets for land cover, green vegetation fraction and total column water vapour are applied (see \"Available Resources\" section below for details). In addition to LST, the UOL LST products contain the aforementioned auxiliary information, LST uncertainty estimates, NDVI and quality control flags. The UOL LST products are provided in NetCDF-4 format, and have been generated from the 3rd reprocessed AATSR dataset by the LST project team at the University of Leicester funded by ESA and NCEO.",
- "license": "proprietary"
- },
- {
- "id": "ENVISAT.ATS.LST_3P_NA",
- "title": "Envisat AATSR Level 3 LST products from UOL [ATS_LST_3P]",
- "catalog": "ESA STAC Catalog",
- "state_date": "2002-07-24",
- "end_date": "2012-04-08",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336850-ESA.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336850-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.ATS.LST_3P_NA",
- "description": "The recommended AATSR Level 3 products for Land Surface Temperature (LST) applications are the Level 3 products that have been produced by the University of Leicester (UOL). These Level 3 products have been generated from Level 2 UOL LST products which use the same LST retrieval method as the Gridded Surface Temperature (ATS_NR__2P) products. However, significantly improved auxiliary data sets for land cover, green vegetation fraction and total column water vapour are also applied (see \"Available Resources\" section below for details). In addition to LST, the UOL LST products contain the aforementioned auxiliary information, LST uncertainty estimates, NDVI and quality control flags. The Level 3 products are provided in NetCDF-4 format, and have been generated from the 3rd reprocessed AATSR dataset by the LST project team at the University of Leicester funded by ESA and NCEO. Further documentation is available via the NEODC website: https://catalogue.ceda.ac.uk/uuid/1d0c047ea3ced97cc7e988d7d286052a",
- "license": "proprietary"
- },
- {
- "id": "ENVISAT.ATS.MET_2P_NA",
- "title": "Envisat AATSR Meteo product [ATS_MET_2P]",
- "catalog": "ESA STAC Catalog",
- "state_date": "2002-05-20",
- "end_date": "2012-04-08",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336851-ESA.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336851-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.ATS.MET_2P_NA",
- "description": "The data was original designed as a fast delivery Meteo product for use by meteorological offices, and contains averaged BT and SST at 10 arc minute resolution. The single MDS comprises the fields of MDS#3 (SST record, 10 arc min cell) of the AST product, with the addition of Average Brightness Temperature (ABT) fields (BT/TOA sea record, 10 arc min cell) to make it more self-contained. This product is a continuation of ERS ATSR data. The 3rd reprocessing of AATSR data was performed in 2013; the processing updates that have been put in place and the scientific improvements are outlined in full in the User Summary Note for the Third Envisat AATSR Reprocessing https://earth.esa.int/eogateway/documents/20142/37627/IDEAS-VEG-OQC-REP-2148-%28A%29ATSR-Third+Reprocessing-Dataset-User-Summary-v1-0.pdf",
- "license": "proprietary"
- },
- {
- "id": "ENVISAT.ATS.NR__2P_NA",
- "title": "Envisat AATSR Gridded Surface Temperature [ATS_NR__2P]",
- "catalog": "ESA STAC Catalog",
- "state_date": "2002-05-20",
- "end_date": "2012-04-08",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336852-ESA.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336852-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.ATS.NR__2P_NA",
- "description": "The Gridded Surface Temperature (GST) Product is the Level 2 full resolution geophysical product. It contains a single measurement data set the content of which is switchable, that is to say, the content of each pixel field will depend on the surface type. Specifically, the contents of the data fields will depend on the setting of the forward and nadir cloud flags and the land flag. The principal annotation data sets from the GBTR product from which the GST is derived are also included in this product. This product is a continuation of ERS ATSR data. The 3rd reprocessing of AATSR data was performed in 2013; the processing updates that have been put in place and the scientific improvements are outlined in full in the User Summary Note for the Third Envisat AATSR Reprocessing https://earth.esa.int/eogateway/documents/20142/37627/IDEAS-VEG-OQC-REP-2148-%28A%29ATSR-Third+Reprocessing-Dataset-User-Summary-v1-0.pdf",
- "license": "proprietary"
- },
- {
- "id": "ENVISAT.ATS.TOA_1P_NA",
- "title": "Envisat AATSR Gridded Brightness Temperature/Reflectance [ATS_TOA_1P]",
- "catalog": "ESA STAC Catalog",
- "state_date": "2002-05-20",
- "end_date": "2012-04-08",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336853-ESA.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336853-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.ATS.TOA_1P_NA",
- "description": "The Gridded Brightness Temperature/Reflectance (GBTR) product contains top of atmosphere (TOA) brightness temperature (BT) values for the infra-red channels and reflectance values for the visible channels. Values for each channel and for the nadir and forward views occupy separate measurement data sets. Additional MDS contain cloud and land/sea flags and confidence flags for each image pixel. This product is a continuation of ERS ATSR data. The 3rd reprocessing of AATSR data was performed in 2013; the processing updates that have been put in place and the expected scientific improvements are outlined in full in the User Summary Note for the Third Envisat AATSR Reprocessing https://earth.esa.int/eogateway/documents/20142/37627/IDEAS-VEG-OQC-REP-2148-%28A%29ATSR-Third+Reprocessing-Dataset-User-Summary-v1-0.pdf",
- "license": "proprietary"
- },
- {
- "id": "ENVISAT.ATS_AVG_3PAARC_NA",
- "title": "Envisat AATSR ARC Level 3 products [ATS_AVG_3PAARC]",
- "catalog": "ESA STAC Catalog",
- "state_date": "2002-07-22",
- "end_date": "2012-04-08",
- "bbox": "-180, 78, 180, 85",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336855-ESA.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336855-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.ATS_AVG_3PAARC_NA",
- "description": "The recommended AATSR Level 3 products for Sea Surface Temperature (SST) applications are the ARC (ATSR Re-processing for Climate) Level 3 products. ARC reprocesses the ATSR multi-mission archive using new cloud detection and SST retrievals to produce a homogenous record of sea surface temperature. The main ARC objective is to reduce regional biases in retrieved SST to less than 0.1 K for all global oceans while creating a very homogenous record with a stability (lack of drift in the observing system and analysis) of 0.05 K per decade. ARC products are available for ATSR-1, ATSR-2 and AATSR. ARC products are provided in netCDF format and contain data for both the skin SST and the SST estimated for depths of 0.2 and 1.0 m (corresponding approximately to drifter and moored buoy depths). The AATSR estimated depth SSTs are adjusted to a local equatorial crossing time of 10:30 (approximately half an hour after observation), to provide continuity with ATSR-1 and ATSR-2 data. The ARC project was led by Chris Merchant (University of Reading, formerly of the University of Edinburgh) and funded by NERC and the UK Government. Further documentation is available via the NEODC website: https://catalogue.ceda.ac.uk/uuid/ff8a7f27b827c108dd9756adffaaa942",
- "license": "proprietary"
- },
- {
- "id": "ENVISAT.DOR.DOP_1P_NA",
+ "id": "ENVISAT.DOR.DOP_1P_5.0",
"title": "Envisat DORIS Doppler [DOR_DOP_1P]",
"catalog": "ESA STAC Catalog",
"state_date": "2002-06-13",
@@ -64826,12 +64735,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336857-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336857-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.DOR.DOP_1P_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.DOR.DOP_1P_5.0",
"description": "This product was generated by the Centre de Traitement Doris Poseidon (CTDP), 3 days after sensing and stored into the F-PAC archive. The file size is 0.5 Mbytes per orbit.",
"license": "proprietary"
},
{
- "id": "ENVISAT.DOR.VOR_AX_NA",
+ "id": "ENVISAT.DOR.VOR_AX_7.0",
"title": "Envisat DORIS Precise Orbit State Vectors [DOR.VOR_AX]",
"catalog": "ESA STAC Catalog",
"state_date": "2002-04-09",
@@ -64839,12 +64748,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336859-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336859-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.DOR.VOR_AX_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.DOR.VOR_AX_7.0",
"description": "The latest version of the Envisat DORIS Precise Orbit product (DOR_VOR_AX) was generated by the Centre de Traitement Doris Poseidon (CTDP) using the Geophysical Data Records F standards (GDR-F). The product is used to obtain the satellite orbital parameters (latitude, longitude, height and height rate) by using orbit computation routines. The most significant changes related to the GDR-F standards concern the new ocean tide model (FES2014) and the updated Terrestrial Reference Frame (ITRF2014). The new standards significantly improve all Precise Orbit Determination (POD) metrics with respect to GDR-E: the mean difference and variance of Sea Surface Height (SSH) at crossovers is slightly reduced. The DOR_VOR_AX product adopts the Envisat format, and the size is 0.2 Mbytes per orbit. Users are recommended to apply the GDR-F version, but the previous datasets are still available (i.e. GDR-D and GDR-E versions). See further details in the readme file (https://earth.esa.int/eogateway/documents/20142/37627/Readme-file-for-Envisat-DORIS-POD.pdf/e94f32f0-3776-788b-abaf-3901ad26440c) for Envisat DORIS Precise Orbit Determination files. https://earth.esa.int/eogateway/documents/20142/1565579/DOR-VOR-AX-Description.png",
"license": "proprietary"
},
{
- "id": "ENVISAT.GOM.LIM_1P_NA",
+ "id": "ENVISAT.GOM.LIM_1P_6.0",
"title": "Envisat GOMOS Level 1b - Limb spectra [GOM_LIM_1P]",
"catalog": "ESA STAC Catalog",
"state_date": "2002-04-15",
@@ -64852,12 +64761,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336861-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336861-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.GOM.LIM_1P_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.GOM.LIM_1P_6.0",
"description": "This data product describes localised calibrated upper and lower background limb spectra (flat-field corrected, with and without stray light). Coverage is as follows: - Elevation range: C25+62 deg to +68 deg - Azimuth range: +90 deg to +190 deg (with respect to the flight direction). The file size is Mbytes/occultation, depending on the duration of the occultation.",
"license": "proprietary"
},
{
- "id": "ENVISAT.GOM.NL__2P_NA",
+ "id": "ENVISAT.GOM.NL__2P_6.0",
"title": "Envisat GOMOS Level 2 - Atmospheric constituents profiles [GOM_NL__2P]",
"catalog": "ESA STAC Catalog",
"state_date": "2002-04-15",
@@ -64865,12 +64774,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336863-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336863-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.GOM.NL__2P_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.GOM.NL__2P_6.0",
"description": "This data product describes atmospheric constituents profiles. In particular the vertical and line density profiles of ozone, NO2, NO3, O2, H2O, air, aerosols, temperature, turbulence. Coverage is as follows: - Elevation range: +62 deg to +68 deg - Azimuth range: +90 deg to +190 deg (with respect to the flight direction) The file size is 1 Mbyte/occultation, depending on the duration of the occultation.",
"license": "proprietary"
},
{
- "id": "ENVISAT.GOM.TRA_1P_NA",
+ "id": "ENVISAT.GOM.TRA_1P_6.0",
"title": "Envisat GOMOS Geolocated Calibrated Transmission Spectra and Photometer Fluxes [GOM_TRA_1P]",
"catalog": "ESA STAC Catalog",
"state_date": "2002-04-15",
@@ -64878,12 +64787,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336864-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336864-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.GOM.TRA_1P_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.GOM.TRA_1P_6.0",
"description": "This data product describes the geolocated and calibrated transmission spectra products, containing the full transmission and the covariance spectra needed for the Level 2 processing. Coverage is as follows: - Elevation range: +62 deg to +68 deg - Azimuth range: +90 deg to +190 deg (with respect to the flight direction) The file size is 1 MB/occultation, depending on the duration of the occultation.",
"license": "proprietary"
},
{
- "id": "ENVISAT.GOM_EXT_2P_NA",
+ "id": "ENVISAT.GOM_EXT_2P_6.0",
"title": "Envisat GOMOS Level 2 - Residual extinction [GOM_EXT_2P]",
"catalog": "ESA STAC Catalog",
"state_date": "2002-04-15",
@@ -64891,12 +64800,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336865-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336865-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.GOM_EXT_2P_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.GOM_EXT_2P_6.0",
"description": "Re-computed transmission spectra corrected for scintillation and dilution effects, before and after inversion. Coverage is as follows: - Elevation range: +62 deg to +68 deg - Azimuth range: +90 deg to +190 deg (with respect to the flight direction) The file size is 1 Mbyte/occultation, depending on the duration of the occultation.",
"license": "proprietary"
},
{
- "id": "ENVISAT.MIP.NL__1P_NA",
+ "id": "ENVISAT.MIP.NL__1P_5.0",
"title": "Envisat MIPAS L1 - Geo-located and calibrated atmospheric spectra [MIP_NL__1P]",
"catalog": "ESA STAC Catalog",
"state_date": "2002-07-01",
@@ -64904,12 +64813,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336871-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336871-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.MIP.NL__1P_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.MIP.NL__1P_5.0",
"description": "This MIPAS Level 1 data product covers the geo-located, spectrally and radiometrically calibrated limb emission spectra in the 685-2410 cm-1 wave number range. It comprises 5 bands: 685-980 cm-1, 1010-1180 cm-1, 1205-1510 cm-1, 1560-1760 cm-1, 1810-2410 cm-1 and covers the following spatial ranges: -Tangent height range: 5 to 170 km -Pointing range: (azimuth pointing range relative to satellite velocity vector): 160 deg - 195 deg (rearward anti-flight direction); 80 deg - 110 deg (sideward anti-Sun direction) The instantaneous field of view (IFOV) is 0.05230 (elevation) x 0.5230 (azimuth) deg. The length of measurement cell for an individual height step is approximately 300-500 km (dependent on tangent height and optical properties of the atmosphere). The spectral resolution spans from 0.030 to 0.035 cm-1, with a radiometric sensitivity of 4.2 to 50 nW / cm-1 / sr / cm2. The resolution range of the dataset is: 3 km (vertical) x 30 km (horizontal) at the tangent point. Please consult the Product Quality Readme - https://earth.esa.int/documents/700255/3711375/Read_Me_File_MIP_NL__1PY_ESA-EOPG-EBA-TN-1+issue1.1.pdf - file for MIPAS Level 1b IPF 8.03 before using the data.",
"license": "proprietary"
},
{
- "id": "ENVISAT.MIP.NL__2P_NA",
+ "id": "ENVISAT.MIP.NL__2P_5.0",
"title": "Envisat MIPAS L2 - Temperature, pressure and atmospheric constituents profiles [MIPAS_2PS/2PE]",
"catalog": "ESA STAC Catalog",
"state_date": "2002-07-01",
@@ -64917,12 +64826,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336872-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336872-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.MIP.NL__2P_NA",
- "description": "This MIPAS Level 2 data product describes localised vertical profiles of pressure, temperature and 21 target species (H2O, O3, HNO3, CH4, N2O, NO2, CFC-11, ClONO2, N2O5, CFC-12, COF2, CCL4, HCN, CFC-14, HCFC-22, C2H2, C2H6, COCl2, CH3Cl, OCS and HDO). It has a global coverage of the Earth stratosphere and mesosphere at all latitudes and longitudes. The vertical resolution of p, T and VMR profiles varies from 3 to 4 km, whereas the horizontal resolution is approximately 300 km to 500 km along track. This depends on the tangent height range and optical properties of the atmosphere. Auxiliary data include spectroscopic data, microwindows data, validation data, initial guess p, T and trace gas VMR profiles. The resolution range of the dataset is: 3 km (vertical) x 30 km (horizontal) at the tangent point. The latest reprocessed MIPAS Level 2 data (v8.22) is available as Standard (MIPAS_2PS) and Extended (MIPAS_2PE) products, both in NetCDF format. Please refer to the MIPAS L2 v8.22 Product Quality Readme file for further details (https://earth.esa.int/eogateway/documents/20142/37627/README_V8_issue_1.0_20201221.pdf/92c27448-eeb9-12ee-cdd9-f643ac9c2baa).",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.MIP.NL__2P_5.0",
+ "description": "This MIPAS Level 2 data product describes localised vertical profiles of pressure, temperature and 21 target species (H2O, O3, HNO3, CH4, N2O, NO2, CFC-11, ClONO2, N2O5, CFC-12, COF2, CCL4, HCN, CFC-14, HCFC-22, C2H2, C2H6, COCl2, CH3Cl, OCS and HDO). It has a global coverage of Earth's stratosphere and mesosphere at all latitudes and longitudes. The vertical resolution of p, T and VMR profiles varies from 3 to 4 km, whereas the horizontal resolution is approximately 300 km to 500 km along track. This depends on the tangent height range and optical properties of the atmosphere. Auxiliary data include spectroscopic data, microwindows data, validation data, initial guess p, T and trace gas VMR profiles. The resolution range of the dataset is: 3 km (vertical) x 30 km (horizontal) at the tangent point. The latest reprocessed MIPAS Level 2 data (v8.22) is available as 1)\tStandard products (MIPAS_2PS): A complete product containing 22 MIPAS L2 chemical species covering a single orbit and single species providing information generally needed by data users. 2)\tExtended products (MIPAS_2PE): A complete product containing 22 MIPAS L2 chemical species covering a single orbit and single species intended for diagnostics and expert users who need complete information about the retrieval process. Both products are available in NetCDF format Please refer to the MIPAS L2 v8.22 _$$Product Quality Readme file$$ https://earth.esa.int/eogateway/documents/20142/37627/README_V8_issue_1.0_20201221.pdf for further details.",
"license": "proprietary"
},
{
- "id": "ENVISAT.RA2.GDR_2P_NA",
+ "id": "ENVISAT.RA2.GDR_2P_7.0",
"title": "Envisat RA-2 Geophysical Data Record - GDR [RA2_GDR__2P]",
"catalog": "ESA STAC Catalog",
"state_date": "2002-05-14",
@@ -64930,12 +64839,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336873-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336873-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.RA2.GDR_2P_NA",
- "description": "This is a RA-2 Geophysical Data Record (GDR) Full Mission Reprocessing (FMR) v3 product containing radar range and orbital altitude, wind speed, wave height, water vapour from the MWR and geophysical corrections. This FMR follows the first Envisat Altimetry reprocessing Version (V2.1) completed in 2012. The GDR and S-GDR data products were reprocessed for all cycles from 6 to 113 (May 2002 to April 2012) into a homogeneous standard in NetCDF format (close to Sentinel-3). For many aspects, the V3.0 reprocessed data are better than the previous dataset: - In terms of available and valid data, the coverage is better, notably thanks to a better availability of MWR data at the beginning of the mission - In terms of performance at cross-overs, the quality is improved: the annual signal and average of Mean SSH is decreased, as well as the standard deviation - The new MWR characteristics were shown to improve largely the global quality of data. As well as the new tide model, the new MSS and the new orbit standard - The Global and regional Mean Sea Level trend is very weakly impacted though the effort was put, this time, on the mesoscale restitution, rather than long term drift, as during V2.1 reprocessing Please consult the Envisat RA-2/MWR Product Quality Readme file pdf before using the data.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.RA2.GDR_2P_7.0",
+ "description": "This is a RA-2 Geophysical Data Record (GDR) Full Mission Reprocessing (FMR) v3 product containing radar range and orbital altitude, wind speed, wave height, water vapour from the MWR and geophysical corrections. This FMR follows the first Envisat Altimetry reprocessing Version (V2.1) completed in 2012. The GDR and S-GDR data products were reprocessed for all cycles from 6 to 113 (May 2002 to April 2012) into a homogeneous standard in NetCDF format (close to Sentinel-3). For many aspects, the V3.0 reprocessed data are better than the previous dataset: - In terms of available and valid data, the coverage is better, notably thanks to a better availability of MWR data at the beginning of the mission - In terms of performance at cross-overs, the quality is improved: the annual signal and average of Mean SSH is decreased, as well as the standard deviation - The new MWR characteristics were shown to improve largely the global quality of data. As well as the new tide model, the new MSS and the new orbit standard - The Global and regional Mean Sea Level trend is very weakly impacted though the effort was put, this time, on the mesoscale restitution, rather than long term drift, as during V2.1 reprocessing Please consult the Envisat RA-2/MWR Product Quality Readme file pdf before using the data. The creation of the Fundamental Data Records (FDR4ALT) datasets _$$released in March 2024$$ https://earth.esa.int/eogateway/news/fdr4alt-esa-unveils-new-cutting-edge-ers-envisat-altimeter-and-microwave-radiometer-dataset , represent the new reference data for the ERS/Envisat altimetry missions, superseding any previous mission data. Users are therefore strongly encouraged to make use of these new datasets for optimal results. The records are aimed at different user communities and include the following datasets: 1.\t_$$Fundamental Data Records for Altimetry$$ https://earth.esa.int/eogateway/catalog/fdr-for-altimetry 2.\t_$$Fundamental Data Records for Radiometry$$ https://earth.esa.int/eogateway/catalog/fdr-for-radiometry 3.\t_$$Atmospheric Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-atmosphere 4.\t_$$Inland Waters Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-inland-water 5.\t_$$Land Ice Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-land-ice 6.\t_$$Ocean & Coastal Topography Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-ocean-and-coastal-topography 7.\t_$$Ocean Waves Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-ocean-waves 8.\t_$$Sea Ice Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-sea-ice ",
"license": "proprietary"
},
{
- "id": "ENVISAT.RA2.MWS_2P_NA",
+ "id": "ENVISAT.RA2.MWS_2P_7.0",
"title": "Envisat RA-2 Sensor and Geophysical Data Record - SGDR\u00a0[RA2_MWS__2P]",
"catalog": "ESA STAC Catalog",
"state_date": "2002-05-14",
@@ -64943,21 +64852,8 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336875-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336875-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.RA2.MWS_2P_NA",
- "description": "This is a RA-2 Sensor and Geophysical Data Record (SGDR) Full Mission Reprocessing (FMR) v3 product. This FMR follows the first Envisat Altimetry reprocessing Version (V2.1) completed in 2012. The GDR and S-GDR data products were reprocessed for all cycles from 6 to 113 (May 2002 to April 2012) into a homogeneous standard in NetCDF format (close to Sentinel-3). The Sensor Data Record (SGDR) Product from RA-2/MWR includes the data in the GDR product (https://earth.esa.int/eogateway/catalog/envisat-ra-2-geophysical-data-record-gdr-ra2_gdr__2p-) (RA-2 geophysical data, MWR data) and also RA-2 averaged waveforms (18Hz) and RA-2 individual waveforms (1800Hz). This product is a continuation of ERS RA data. This data product has a coverage of 1 pass, pole-pole, a spatial sampling of about 390 m along track and a size of 31 to 40 MB, depending on presence of individual waveforms. The radiometric accuracy is 0.2 dB and auxiliary data include: Orbit state vectors (DORIS, FOS), RA2 and MWR characterisation data, Platform attitude, Gain calibration, USO frequency, ECMWF data, time relation, leap second, Ionospheric corrections, geoid, mean sea surface, slope data, and tide model (ocean, earth, loading, pole). Please consult the Envisat RA-2/MWR Product Quality Readme file before using the data.",
- "license": "proprietary"
- },
- {
- "id": "ENVISAT.UPA-L2P-L3U_NA",
- "title": "Envisat AATSR ARC L2P/L3U [UPA-L2P_GHRSST/UPA-L3U_GHRSST]",
- "catalog": "ESA STAC Catalog",
- "state_date": "2002-05-20",
- "end_date": "2012-04-08",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336876-ESA.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336876-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.UPA-L2P-L3U_NA",
- "description": "The L2P product contains full resolution dual-view Sea Surface Temperature (SST) values. These SST use the ARC SST retrieval and cloud screening which differ from the methods used to produce the Gridded Surface Temperature (ATS_NR__2P) products. In addition to SST, the L2P products contain the ATSR Saharan Dust Index (ASDI) and the clear-sky probability estimated by the ARC cloud detection algorithm. The L2P processor also generates L3U products; these are the L2P products averaged onto a regular grid at 0.1 degree resolution (they are therefore similar to the AR / Meteo Envisat-format products). The L2P and L3U products are provided in NetCDF-4 format following GHRSST Data Specifications (GDS) v2. The L2P/L3U archive was reprocessed in 2013 with a new processor based upon the ARC SST; the changes are outlined in full in the L2P Reprocessing User Notehttps://earth.esa.int/eogateway/documents/20142/37627/User%20Note%20for%20%28A%29ATSR%20L2P%20Reprocessing",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ENVISAT.RA2.MWS_2P_7.0",
+ "description": "This is a RA-2 Sensor and Geophysical Data Record (SGDR) Full Mission Reprocessing (FMR) v3 product. This FMR follows the first Envisat Altimetry reprocessing Version (V2.1) completed in 2012. The GDR and S-GDR data products were reprocessed for all cycles from 6 to 113 (May 2002 to April 2012) into a homogeneous standard in NetCDF format (close to Sentinel-3). The Sensor Data Record (SGDR) Product from RA-2/MWR includes the data in the GDR product (https://earth.esa.int/eogateway/catalog/envisat-ra-2-geophysical-data-record-gdr-ra2_gdr__2p-) (RA-2 geophysical data, MWR data) and also RA-2 averaged waveforms (18Hz) and RA-2 individual waveforms (1800Hz). This product is a continuation of ERS RA data. This data product has a coverage of 1 pass, pole-pole, a spatial sampling of about 390 m along track and a size of 31 to 40 MB, depending on presence of individual waveforms. The radiometric accuracy is 0.2 dB and auxiliary data include: Orbit state vectors (DORIS, FOS), RA2 and MWR characterisation data, Platform attitude, Gain calibration, USO frequency, ECMWF data, time relation, leap second, Ionospheric corrections, geoid, mean sea surface, slope data, and tide model (ocean, earth, loading, pole). Please consult the Envisat RA-2/MWR Product Quality Readme file before using the data. The creation of the Fundamental Data Records (FDR4ALT) datasets _$$released in March 2024$$ https://earth.esa.int/eogateway/news/fdr4alt-esa-unveils-new-cutting-edge-ers-envisat-altimeter-and-microwave-radiometer-dataset , represent the new reference data for the ERS/Envisat altimetry missions, superseding any previous mission data. Users are therefore strongly encouraged to make use of these new datasets for optimal results. The records are aimed at different user communities and include the following datasets: 1.\t_$$Fundamental Data Records for Altimetry$$ https://earth.esa.int/eogateway/catalog/fdr-for-altimetry 2.\t_$$Fundamental Data Records for Radiometry$$ https://earth.esa.int/eogateway/catalog/fdr-for-radiometry 3.\t_$$Atmospheric Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-atmosphere 4.\t_$$Inland Waters Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-inland-water 5.\t_$$Land Ice Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-land-ice 6.\t_$$Ocean & Coastal Topography Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-ocean-and-coastal-topography 7.\t_$$Ocean Waves Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-ocean-waves 8.\t_$$Sea Ice Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-sea-ice ",
"license": "proprietary"
},
{
@@ -66105,7 +66001,7 @@
"license": "proprietary"
},
{
- "id": "ERS.ASPS20_NA",
+ "id": "ERS.ASPS20_7.0",
"title": "ERS-1/2 SCATTEROMETER Ocean Wind field and Sea Ice probability [ASPS20.H/ASPS20.N]",
"catalog": "ESA STAC Catalog",
"state_date": "1991-08-01",
@@ -66113,77 +66009,12 @@
"bbox": "-180, -82, 180, 82",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336877-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336877-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ERS.ASPS20_NA",
- "description": "The ASPS Level 2 products contain, for each node: the radar backscattering sigma nought for the three beams of the instrument, the four aliased wind solutions (Rank 1-4 wind vector) and the de-aliased wind vector flag, the sea-ice probability and sea-ice flag, the YAW quality flag. The wind retrieval is performed with the CMOD5N geophysical model function derived by ECMWF to compute the neutral winds rather than 10m winds. ASPS L2.0 High resolution products are provided with a spatial resolution of 25x25 km and a grid spacing of 12.5 km. ASPS L2.0 Nominal resolution products are provided with a spatial resolution of 50x50 km and a grid spacing of 25 km. One product covers one orbit from ascending node crossing. Please consult the Product Quality Readme (https://earth.esa.int/eogateway/documents/20142/37627/ERS-WS-Product-Quality-Readmefile-ENVI-GSOP-EOGD-QD-15-0130-issue1.2.pdf) file before using the ERS ASPS data.",
- "license": "proprietary"
- },
- {
- "id": "ERS.ATS_AVG_3PAARC_NA",
- "title": "ERS-1/2 ATSR ARC Level 3 products [AT1/AT2_AVG_3PAARC]",
- "catalog": "ESA STAC Catalog",
- "state_date": "1991-08-01",
- "end_date": "2003-06-22",
- "bbox": "-180, -78, 180, 85",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336878-ESA.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336878-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ERS.ATS_AVG_3PAARC_NA",
- "description": "The recommended ATSR Level 3 products for Sea Surface Temperature (SST) applications are the ARC (ATSR Re-processing for Climate) Level 3 products. ARC reprocesses the ATSR multi-mission archive using new cloud detection and SST retrievals to produce a homogenous record of sea surface temperature. The main ARC objective is to reduce regional biases in retrieved SST to less than 0.1 K for all global oceans while creating a very homogenous record with a stability (lack of drift in the observing system and analysis) of 0.05 K per decade. ARC products are available for ATSR-1, ATSR-2 and AATSR. ARC products are provided in netCDF format and contain data for both the skin SST and the SST estimated for depths of 0.2 and 1.0 m (corresponding approximately to drifter and moored buoy depths). The AATSR estimated depth SSTs are adjusted to a local equatorial crossing time of 10:30 (approximately half an hour after observation), to provide continuity with ATSR-1 and ATSR-2 data. The ARC project was led by Chris Merchant (University of Reading, formerly of the University of Edinburgh) and funded by NERC and the UK Government.",
- "license": "proprietary"
- },
- {
- "id": "ERS.AT_AR__2P_NA",
- "title": "ERS-1/2 ATSR Averaged Surface Temperature [AT1/AT2_AR__2P]",
- "catalog": "ESA STAC Catalog",
- "state_date": "1991-08-01",
- "end_date": "2003-06-22",
- "bbox": "-180, -82, 180, 82",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336880-ESA.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336880-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ERS.AT_AR__2P_NA",
- "description": "The Averaged Surface Temperature Product (AST) contains averaged geophysical data at two different resolutions, and with respect to two different averaging schemes: measurement data sets at resolutions of 0.5 by 0.5 degrees and 10 by 10 arcmin with respect to a latitude/longitude grid; other data sets contain data averaged over equal area cells of 50 by 50 km and 17 by 17 km aligned with the satellite ground track. Both top-of-atmosphere and surface data sets are provided. The surface temperature data sets provide, for sea cells, nadir and dual view sea surface temperatures, and for land cells, land surface temperature (currently 11 micron BT) and NDVI. Cloud data is also included. No ADS are included in the AST product; auxiliary data is contained within the MDS. The data sets of the AST product are arranged by surface type and resolution. The 3rd reprocessing of ATSR data was performed in 2013; the processing updates that have been put in place and the scientific improvements are outlined in full in the User Summary Note for the Third ERS ATSR Reprocessing (https://earth.esa.int/eogateway/documents/20142/37627/IDEAS-VEG-OQC-REP-2148-%28A%29ATSR-Third+Reprocessing-Dataset-User-Summary-v1-0.pdf)",
- "license": "proprietary"
- },
- {
- "id": "ERS.AT_MET_2P_NA",
- "title": "ERS-1/2 ATSR Meteo Product [AT1/AT2_MET_2P]",
- "catalog": "ESA STAC Catalog",
- "state_date": "1991-08-01",
- "end_date": "2003-06-22",
- "bbox": "-180, -82, 180, 82",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336881-ESA.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336881-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ERS.AT_MET_2P_NA",
- "description": "The data is a fast delivery Meteo product designed for use by meteorological offices, and contains averaged BT and SST at 10 arc minute resolution. The single MDS comprises the fields of MDS#3 (SST record, 10 arc min cell) of the AST product, with the addition of Average Brightness Temperature (ABT) fields (BT/TOA sea record, 10 arc min cell) to make it more self-contained. The 3rd reprocessing of ATSR data was performed in 2013; the processing updates that have been put in place and the scientific improvements are outlined in full in the User Summary Note for the Third ERS ATSR Reprocessing (https://earth.esa.int/eogateway/documents/20142/37627/IDEAS-VEG-OQC-REP-2148-%28A%29ATSR-Third+Reprocessing-Dataset-User-Summary-v1-0.pdf).",
- "license": "proprietary"
- },
- {
- "id": "ERS.AT_NR__2P_NA",
- "title": "ERS-1/2 ATSR Gridded Surface Temperature [AT1/AT2_NR__2P]",
- "catalog": "ESA STAC Catalog",
- "state_date": "1991-08-01",
- "end_date": "2003-06-22",
- "bbox": "-180, -82, 180, 82",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336882-ESA.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336882-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ERS.AT_NR__2P_NA",
- "description": "The Gridded Surface Temperature (GST) Product is the Level 2 full resolution geophysical product. The product contains gridded sea-surface temperature images using both nadir and dual view retrieval algorithms. The product includes pixel latitude/longitude positions, X/Y offset and the results of the cloud-clearing/land-flagging. It contains a single measurement data set the content of which is switchable, that is to say, the content of each pixel field will depend on the surface type. Specifically, the contents of the data fields will depend on the setting of the forward and nadir cloud flags and the land flag. The 3rd reprocessing of ATSR data was performed in 2013; the processing updates that have been put in place and the scientific improvements are outlined in full in the User Summary Note for the Third ERS ATSR Reprocessing (https://earth.esa.int/eogateway/documents/20142/37627/IDEAS-VEG-OQC-REP-2148-%28A%29ATSR-Third+Reprocessing-Dataset-User-Summary-v1-0.pdf).",
- "license": "proprietary"
- },
- {
- "id": "ERS.AT_TOA_1P_NA",
- "title": "ERS-1/2 ATSR Gridded Brightness Temperature/Reflectance [AT1/AT2_TOA_1P]",
- "catalog": "ESA STAC Catalog",
- "state_date": "1991-08-01",
- "end_date": "2003-06-22",
- "bbox": "-180, -82, 180, 82",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336883-ESA.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336883-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ERS.AT_TOA_1P_NA",
- "description": "The Gridded Brightness Temperature/Reflectance (GBTR) product contains top of atmosphere (TOA) brightness temperature (BT) values for the infra-red channels and reflectance values for the visible channels. Values for each channel and for the nadir and forward views occupy separate measurement data sets. Additional MDS contain cloud and land/sea flags and confidence flags for each image pixel. The 3rd reprocessing of ATSR data was performed in 2013; the processing updates that have been put in place and the scientific improvements are outlined in full in the User Summary Note for the Third ERS ATSR Reprocessing (https://earth.esa.int/eogateway/documents/20142/37627/IDEAS-VEG-OQC-REP-2148-%28A%29ATSR-Third+Reprocessing-Dataset-User-Summary-v1-0.pdf)",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ERS.ASPS20_7.0",
+ "description": "The ASPS Level 2 products contain, for each node: the radar backscattering sigma nought for the three beams of the instrument, the four aliased wind solutions (Rank 1-4 wind vector) and the de-aliased wind vector flag, the sea-ice probability and sea-ice flag, the YAW quality flag. The wind retrieval is performed with the CMOD5N geophysical model function derived by ECMWF to compute the neutral winds rather than 10 m winds. ASPS L2.0 High resolution products are provided with a spatial resolution of 25x25 km and a grid spacing of 12.5 km. ASPS L2.0 Nominal resolution products are provided with a spatial resolution of 50x50 km and a grid spacing of 25 km. One product covers one orbit from ascending node crossing. Please consult the _$$Product Quality Readme$$ https://earth.esa.int/eogateway/documents/20142/37627/ERS_WS_Readme-ENVI-GSOP-EOGD-QD-15-0130_issue1.2.pdf file before using the ERS ASPS data.",
"license": "proprietary"
},
{
- "id": "ERS.GOM.L1_NA",
+ "id": "ERS.GOM.L1_5.0",
"title": "ERS-2 GOME Spectral Product L1",
"catalog": "ESA STAC Catalog",
"state_date": "1995-06-28",
@@ -66191,12 +66022,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336887-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336887-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ERS.GOM.L1_NA",
- "description": "GOME Level 1 products contain Earthshine radiance at the Top of the Atmosphere and solar irradiance spectra. They were generated by DLR on behalf of the European Space Agency with Level 1 GOME Data Processor (GDP-L1) starting from the Extracted GOME Calibration (EGOC) Level 0 data files. Originally raw detector signals (binary Analog to Digital Converted units) of the science measurements plus calibration constants were provided (dataset version 4 and lower), but following the end of the operational phase of the ERS-2 mission (2 July 2011), as part of ESA's post-operational algorithm improvement activities (Coldewey-Egbers et al., 2018), the GOME Level 1 data type was entirely revised and a dataset of fully calibrated and ready to use data was generated with GOME processor version 5.1. The version 5.1 data bring relevant quality improvements for the revised calibration approach, compensating aging and instrument degradation, and provide enhanced accessibility. The version 5.1 data are in NetCDF format and differ fundamentally from the previous GOME Level 1 data, having the Envisat proprietary format and basically containing Level 1a data where a dedicated extraction software tool had to be applied by end user to obtain spectrally and radiometrically calibrated radiances (including the correction for polarisation, leakage current and stray light). Such calibrations are now applied to the version 5.1 L1b data product in the standard processing. Users of GOME Level 1 products are strongly recommended to migrate to the latest reprocessed dataset. Please consult the GOME Product Quality Readme file before using the data. (https://earth.esa.int/eogateway/documents/20142/37627/GOME-TCWV-Product-sQuality-Readme-File.pdf)",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ERS.GOM.L1_5.0",
+ "description": "GOME Level 1 products contain Earthshine radiance at the Top of the Atmosphere and solar irradiance spectra. They were generated by DLR on behalf of the European Space Agency with Level 1 GOME Data Processor (GDP-L1) starting from the Extracted GOME Calibration (EGOC) Level 0 data files. Originally raw detector signals (binary Analog to Digital Converted units) of the science measurements plus calibration constants were provided (dataset version 4 and lower), but following the end of the operational phase of the ERS-2 mission (2 July 2011), as part of ESA's post-operational algorithm improvement activities (Coldewey-Egbers et al., 2018), the GOME Level 1 data type was entirely revised and a dataset of fully calibrated and ready to use data was generated with GOME processor version 5.1. The version 5.1 data bring relevant quality improvements for the revised calibration approach, compensating aging and instrument degradation, and provide enhanced accessibility. The version 5.1 data are in NetCDF format and differ fundamentally from the previous GOME Level 1 data, having the Envisat proprietary format and basically containing Level 1a data where a dedicated extraction software tool had to be applied by end user to obtain spectrally and radiometrically calibrated radiances (including the correction for polarisation, leakage current and stray light). Such calibrations are now applied to the version 5.1 L1b data product in the standard processing. Users of GOME Level 1 products are strongly recommended to migrate to the latest reprocessed dataset. Please consult the GOME Product Quality Readme file before using the data. (https://earth.esa.int/eogateway/documents/20142/37627/GOME-TCWV-Product-sQuality-Readme-File.pdf)",
"license": "proprietary"
},
{
- "id": "ERS.GOM.L2_NA",
+ "id": "ERS.GOM.L2_4.0",
"title": "ERS-2 GOME Total Column Amount of Trace Gases Product",
"catalog": "ESA STAC Catalog",
"state_date": "1995-06-28",
@@ -66204,12 +66035,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336888-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336888-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ERS.GOM.L2_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ERS.GOM.L2_4.0",
"description": "GOME Level 2 products were generated by DLR on behalf of the European Space Agency, and are the end result of the Level 1 to 2 reprocessing campaign of GOME Level 1 version 4 data with Level 2 GOME Data Processor (GDP) version 5.0 (HDF-5 format). The GOME Level 2 data product comprises the product header, total column densities of ozone and nitrogen dioxide and their associated errors, cloud properties and selected geo-location information, diagnostics from the Level 1 to 2 algorithms and a small amount of statistical information.",
"license": "proprietary"
},
{
- "id": "ERS.ORB.POD_NA",
+ "id": "ERS.ORB.POD_4.0",
"title": "ERS PRARE Precise Orbit Products [ERS.ORB.POD/ERS.ORB.PRC]",
"catalog": "ESA STAC Catalog",
"state_date": "1991-08-03",
@@ -66217,12 +66048,12 @@
"bbox": "-180, -82, 180, 82",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336890-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336890-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ERS.ORB.POD_NA",
- "description": "The precise orbit results from a data reduction process in which all available tracking data (Single-Lens Reflex, radar altimeter crossovers, PRARE range and Doppler data) and most accurate correction, transformation and dynamical models are taken into account and in which high level numerical procedures are applied. These orbits are \"optimal\" achievable representations of the real orbital motion under the circumstances of tracking situation and the \"state of the art\" model situation. The precise orbit product for the ERS satellites are the satellite ephemeris (position and velocity vector) including time tag, given in a well-defined reference frame, together with the nominal satellite attitude information and a radial orbit correction. Several orbit solutions are currently distributed: A new set of ORB POD (Precise Orbit Determination - REAPER v2) computed with the most updated model standards for the complete ERS-1 and ERS-2 mission. A previous set of ORB POD (REAPER v1) data already available on the ESA dissemination site since 2014, covering the ERS-1 full mission and the ERS-2 mission up to July 2003. ORB PRC which is the original Precise Orbit dataset computed during the ERS mission operations for ERS-1 and ERS-2. In the new POD dataset (REAPER v2) for the ERS-1 and ERS-2 missions, two different orbit solutions are provided together with the combined solution to be used for processing of the radar altimeter measurements and the determination of geodetic/geophysical products: those computed by DEOS (Delft Institute of Earth Observation and Space Systems), and those generated by ESOC (European Space Operations Centre) using different software (GEODYN and NAPEOS respectively). Careful evaluation of the various solutions of REAPER v2 has shown that the DEOS solution for both ERS-1 and ERS-2 has the best performance and is recommended to be used as reference. See the ERS Orbit Validation Report (https://earth.esa.int/eogateway/documents/20142/37627/ERS-Orbit-Validation-Report.pdf). For the previous version of the POD data set (REAPER v1), with ERS-2 mission data only up to 2003, three different orbit solutions together with the combined solution are available. These precise orbits for ERS-1 and ERS-2 have been computed at DEOS, ESOC, and GFZ (Deutschen GeoForschungsZentrums) using different software and different altimeter databases. Combined solutions have been created using three individual solutions for each satellite. All orbits were derived using consistent models in the same LPOD2005 terrestrial reference frame. These new orbit solutions show notable improvement with respect to DGME04 orbits (Scharroo and Visser, 1998). Thus, RMS crossover differences of new orbits improved by 4-9 mm. Careful evaluation of the various solutions has shown that the combined solution for both ERS-1 and ERS-2 has the best performance. All POD orbit files (REAPER v1/v2) are available in SP3c format (ftp://igscb.jpl.nasa.gov/igscb/data/format/sp3c.txt).",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ERS.ORB.POD_4.0",
+ "description": "The precise orbit results from a data reduction process in which all available tracking data (Single-Lens Reflex, radar altimeter crossovers, PRARE range and Doppler data) and most accurate correction, transformation and dynamical models are taken into account and in which high level numerical procedures are applied. These orbits are "optimal" achievable representations of the real orbital motion under the circumstances of tracking situation and the "state of the art" model situation. The precise orbit product for the ERS satellites are the satellite ephemeris (position and velocity vector) including time tag, given in a well-defined reference frame, together with the nominal satellite attitude information and a radial orbit correction. Several orbit solutions are currently distributed: A new set of ORB POD (Precise Orbit Determination - REAPER v2) computed with the most updated model standards for the complete ERS-1 and ERS-2 mission. A previous set of ORB POD (REAPER v1) data already available on the ESA dissemination site since 2014, covering the ERS-1 full mission and the ERS-2 mission up to July 2003. ORB PRC which is the original Precise Orbit dataset computed during the ERS mission operations for ERS-1 and ERS-2. In the new POD dataset (REAPER v2) for the ERS-1 and ERS-2 missions, two different orbit solutions are provided together with the combined solution to be used for processing of the radar altimeter measurements and the determination of geodetic/geophysical products: those computed by DEOS (Delft Institute of Earth Observation and Space Systems), and those generated by ESOC (European Space Operations Centre) using different software (GEODYN and NAPEOS respectively). Careful evaluation of the various solutions of REAPER v2 has shown that the DEOS solution for both ERS-1 and ERS-2 has the best performance and is recommended to be used as reference. See the ERS Orbit Validation Report (https://earth.esa.int/eogateway/documents/20142/37627/ERS-Orbit-Validation-Report.pdf). For the previous version of the POD data set (REAPER v1), with ERS-2 mission data only up to 2003, three different orbit solutions together with the combined solution are available. These precise orbits for ERS-1 and ERS-2 have been computed at DEOS, ESOC, and GFZ (Deutschen GeoForschungsZentrums) using different software and different altimeter databases. Combined solutions have been created using three individual solutions for each satellite. All orbits were derived using consistent models in the same LPOD2005 terrestrial reference frame. These new orbit solutions show notable improvement with respect to DGME04 orbits (Scharroo and Visser, 1998). Thus, RMS crossover differences of new orbits improved by 4-9 mm. Careful evaluation of the various solutions has shown that the combined solution for both ERS-1 and ERS-2 has the best performance. All POD orbit files (REAPER v1/v2) are available in SP3c format (ftp://igscb.jpl.nasa.gov/igscb/data/format/sp3c.txt).",
"license": "proprietary"
},
{
- "id": "ERS.SSM_NA",
+ "id": "ERS.SSM_7.0",
"title": "ERS-2 SCATTEROMETER Surface Soil Moisture Time Series and Orbit product in High and Nominal Resolution [SSM.H/N.TS - SSM.H/N]",
"catalog": "ESA STAC Catalog",
"state_date": "1996-03-26",
@@ -66230,25 +66061,12 @@
"bbox": "-180, -82, 180, 82",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336893-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336893-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ERS.SSM_NA",
- "description": "Surface soil moisture records are derived from the backscatter coefficient measured by the Scatterometer on-board the European Remote Sensing satellite (ERS-2) using the Technische Universit\u00e4t (TU) Wien soil moisture retrieval algorithm called WARP (WAter Retrieval Package). In the WARP algorithm, the relative surface soil moisture estimates, given in degree of saturation Sd, range between 0% and 100% are derived by scaling the normalized backscatter between the lowest/highest backscatter values corresponding to the driest/wettest soil conditions. Surface Soil Moisture - Time Series product: The products generated are the surface soil moisture time series, where for each grid point defined in a DGG (Discrete Global Grid) is stored the time series of soil moisture and its noise, the surface state flag, the geolocation and the satellite parameters. The spatial resolution of the products is about 25 km x 25 km (high resolution) or 50 km x 50 km (nominal resolution) geo-referenced on the WARP grid. The location of the points can be viewed interactively with the tool DGG Point Locator (http://rs.geo.tuwien.ac.at/dv/dgg). Surface Soil Moisture - Orbit product: In addition to WARP, a second software package, referred to as WARP orbit, was developed in response to the strong demand of soil moisture estimates in satellite orbit geometry. The Level 2 soil moisture orbit product contains a series of Level 1 data information, such as the backscatter, the incidence angle and the azimuth angle for each triplet together with the surface soil moisture and its noise, normalized backscatter at 40\u00b0 incidence angle, parameters useful for soil moisture, the geolocation and the satellite parameters. The soil moisture orbit product is available in two spatial resolutions with different spatial sampling distances: - Spatial sampling on a regular 12.5 km grid in orbit geometry with a spatial resolution of about 25 km x 25 km (high resolution) - Spatial sampling on a regular 25 km grid in orbit geometry with a spatial resolution of about 50 km x 50 km (nominal resolution) The spatial resolution is defined by the Hamming window function, which is used for re-sample of raw backscatter measurements to the orbit grid in the Level-1 ground processor. Please consult the Product Quality Readme file (https://earth.esa.int/eogateway/documents/20142/37627/ERS-WS-SoilMoisture-Readme-ESA-EOPG-EBA-TN-2-issue1.0.pdf) before using the ERS-2 Surface Soil Moisture data.",
- "license": "proprietary"
- },
- {
- "id": "ERS.UPA-L2P-L3U_NA",
- "title": "ERS-1/2 ATSR ARC L2P/L3U [UPA-L2P_GHRSST/L3U_GHRSST]",
- "catalog": "ESA STAC Catalog",
- "state_date": "1991-08-01",
- "end_date": "2003-06-22",
- "bbox": "-180, -82, 180, 82",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336896-ESA.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336896-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ERS.UPA-L2P-L3U_NA",
- "description": "The L2P product contains full resolution dual-view Sea Surface Temperature (SST) values. These SST use the ARC SST retrieval and cloud screening which differ from the methods used to produce the Gridded Surface Temperature (ATS_NR__2P) products. In addition to SST, the L2P products contain the ATSR Saharan Dust Index (ASDI) and the clear-sky probability estimated by the ARC cloud detection algorithm. The L2P processor also generates L3U products; these are the L2P products averaged onto a regular grid at 0.1 degree resolution (they are therefore similar to the AR / Meteo Envisat-format products). The L2P and L3U products are provided in NetCDF-4 format following GHRSST Data Specifications (GDS) v2. The L2P/L3U archive has been reprocessed with a new processor based upon the ARC SST; the changes are outlined in full in the L2P Reprocessing User Note. https://earth.esa.int/eogateway/documents/20142/37627/User%20Note%20for%20%28A%29ATSR%20L2P%20Reprocessing",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ERS.SSM_7.0",
+ "description": "Surface soil moisture records are derived from the backscatter coefficient measured by the Scatterometer on-board the European Remote Sensing satellite (ERS-2) using the Technische Universit\u00e4t (TU) Wien soil moisture retrieval algorithm called WARP (WAter Retrieval Package). In the WARP algorithm, the relative surface soil moisture estimates, given in degree of saturation Sd, range between 0% and 100% are derived by scaling the normalized backscatter between the lowest/highest backscatter values corresponding to the driest/wettest soil conditions. Surface Soil Moisture - Time Series product: The products generated are the surface soil moisture time series, where for each grid point defined in a DGG (Discrete Global Grid) is stored the time series of soil moisture and its noise, the surface state flag, the geolocation and the satellite parameters. The spatial resolution of the products is about 25 km x 25 km (high resolution) or 50 km x 50 km (nominal resolution) geo-referenced on the WARP grid. The location of the points can be viewed interactively with the tool _$$DGG Point Locator$$ https://dgg.geo.tuwien.ac.at/ . Surface Soil Moisture - Orbit product: In addition to WARP, a second software package, referred to as WARP orbit, was developed in response to the strong demand of soil moisture estimates in satellite orbit geometry. The Level 2 soil moisture orbit product contains a series of Level 1 data information, such as the backscatter, the incidence angle and the azimuth angle for each triplet together with the surface soil moisture and its noise, normalized backscatter at 40\u00b0 incidence angle, parameters useful for soil moisture, the geolocation and the satellite parameters. The soil moisture orbit product is available in two spatial resolutions with different spatial sampling distances: Spatial sampling on a regular 12.5 km grid in orbit geometry with a spatial resolution of about 25 km x 25 km (High resolution) Spatial sampling on a regular 25 km grid in orbit geometry with a spatial resolution of about 50 km x 50 km (Nominal resolution) The spatial resolution is defined by the Hamming window function, which is used for re-sample of raw backscatter measurements to the orbit grid in the Level-1 ground processor. Please consult the Product Quality _$$Readme$$ https://earth.esa.int/eogateway/documents/20142/37627/ERS_WS_Soil_Moisture_Readme-ESA-EOPG-EBA-TN-2_issue1.0.pdf file before using the ERS-2 Surface Soil Moisture data.",
"license": "proprietary"
},
{
- "id": "ERS.UWI_NA",
+ "id": "ERS.UWI_6.0",
"title": "ERS-1/2 SCATTEROMETER Nominal Resolution back-scattering measurements, Ocean Wind field [UWI]",
"catalog": "ESA STAC Catalog",
"state_date": "1991-08-01",
@@ -66256,7 +66074,7 @@
"bbox": "-180, -82, 180, 82",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336898-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336898-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ERS.UWI_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ERS.UWI_6.0",
"description": "The ERS data reprocessed with the ASPS facility is also available in the UWI format to maintain the compatibility with the FD (Fast Delivery) products. The ASPS UWI product is organised in frames of 500 x 500 km providing the radar backscattering sigma nought for the three beams of the instrument plus the wind speed and direction. The wind retrieval is performed with the CMOD5N geophysical model function derived by ECMWF to compute the neutral winds rather than 10m winds. ASPS UWI products are provided with a spatial resolution of 50x50km and a grid spacing of 25 km. One product covers one orbit from ascending node crossing. Please consult the Product Quality Readme file (https://earth.esa.int/eogateway/documents/20142/37627/ERS-WS-Product-Quality-Readmefile-ENVI-GSOP-EOGD-QD-15-0130-issue1.2.pdf) before using the ERS ASPS data.",
"license": "proprietary"
},
@@ -66274,7 +66092,20 @@
"license": "proprietary"
},
{
- "id": "ERS_ALT_2M_NA",
+ "id": "ERSATSRL1BBrightnessTemperatureRadianceER1AT1RBTER2AT1RBT40_5.0",
+ "title": "ERS ATSR L1B Brightness Temperature/Radiance [ER1_AT_1_RBT / ER2_AT_1_RBT]",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "1991-08-01",
+ "end_date": "2003-06-22",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394257-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394257-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ERSATSRL1BBrightnessTemperatureRadianceER1AT1RBTER2AT1RBT40_5.0",
+ "description": "The ERS-1/2 ATSR Level 1B Brightness Temperature/Radiance products (RBT) contain top of atmosphere (TOA) brightness temperature (BT) values for the infra-red channels and radiance values for the visible channels, when available, on a 1-km pixel grid. The visible channels are only available for the ATSR-2 instrument. Values for each channel and for the nadir and oblique views occupy separate NetCDF files within the Sentinel-SAFE format, along with associated uncertainty estimates. Additional files contain cloud flags, land and water masks, and confidence flags for each image pixel, as well as instrument and ancillary meteorological information. The ATSR-1 and ATSR-2 products [ER1_AT_1_RBT and ER2_AT_1_RBT], in NetCDF format stemming from the 4th ATSR reprocessing, are precursors of Envisat AATSR and Sentinel-3 SLSTR data. They have replaced the former L1B products [AT1_TOA_1P and AT2_TOA_1P] in Envisat format from the 3rd reprocessing. Users with Envisat-format products are recommended to move to the new Sentinel-SAFE like/NetCDF format products, and consult the ERS _$$ATSR Product Notice Readme document$$ https://earth.esa.int/eogateway/documents/20142/37627/ATSR-Level-1B-ERn-AT-1-RBT-Product-Notices-Readme.pdf The processing updates that have been put in place and the expected scientific improvements for the ERS ATSR 4th reprocessing data have been outlined in full in the _$$User Documentation for (A)ATSR 4th Reprocessing Products$$ https://earth.esa.int/documents/20142/37627/QA4EO-VEG-OQC-MEM-4538_User_Documentation_for__A_ATSR_4th_Reprocessing_Level_1.pdf .",
+ "license": "proprietary"
+ },
+ {
+ "id": "ERS_ALT_2M_6.0",
"title": "ERS-1/2 Radar Altimeter REAPER METEO Product - [ERS_ALT_2M]",
"catalog": "ESA STAC Catalog",
"state_date": "1991-08-03",
@@ -66282,12 +66113,12 @@
"bbox": "-180, -82, 180, 82",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336899-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336899-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ERS_ALT_2M_NA",
- "description": "This is a RA Meteo product containing only the 1 Hz parameters for altimeter (surface range, satellite altitude, wind speed and significant wave height at nadir) and MWR/MWS data (brightness temperature at 23.8 GHz and 36.5 GHz, water vapour content, liquid water content) used to correct altimeter measurements. It also contains the full geophysical corrections. This product corresponds to a subset of the REAPER GDR product (ERS_ALT_2_). The REAPER (REprocessing of Altimeter Products for ERS) product is generated by applying a similar processing as for Envisat RA-2 on the Level 1b consolidated waveforms using 4 different re-trackers, RA calibration improvement, new precise orbit solution (POD), new ionospheric corrections (NICO09 until 1998 and GIM up to 2003), ECMWF ERA-interim model and updated SSB tables. This product contains only the low rate of 1Hz data. The REAPER Meteo (ERS_ALT_2M) is a global product including data over ocean, ice and land. It should be noted that this product differs from the Envisat RA2 in the following ways: the product format; which is NetCDF (more details can be found in the Product Handbook https://earth.esa.int/eogateway/documents/20142/37627/reaper-product-handbook-for-ers-altimetry-reprocessed-products.pdf), and not PDS the product is delivered based on orbit acquisition and not per pass (pole-to-pole) This product is extended through Envisat RA-2 data",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ERS_ALT_2M_6.0",
+ "description": "This is a RA Meteo product containing only the 1 Hz parameters for altimeter (surface range, satellite altitude, wind speed and significant wave height at nadir) and MWR/MWS data (brightness temperature at 23.8 GHz and 36.5 GHz, water vapour content, liquid water content) used to correct altimeter measurements. It also contains the full geophysical corrections. This product corresponds to a subset of the REAPER GDR product (ERS_ALT_2_). The REAPER (REprocessing of Altimeter Products for ERS) product is generated by applying a similar processing as for Envisat RA-2 on the Level 1b consolidated waveforms using 4 different re-trackers, RA calibration improvement, new precise orbit solution (POD), new ionospheric corrections (NICO09 until 1998 and GIM up to 2003), ECMWF ERA-interim model and updated SSB tables. This product contains only the low rate of 1Hz data. The REAPER Meteo (ERS_ALT_2M) is a global product including data over ocean, ice and land. It should be noted that this product differs from the Envisat RA2 in the following ways: the product format; which is NetCDF (more details can be found in the Product Handbook https://earth.esa.int/eogateway/documents/20142/37627/reaper-product-handbook-for-ers-altimetry-reprocessed-products.pdf), and not PDS the product is delivered based on orbit acquisition and not per pass (pole-to-pole) This product is extended through Envisat RA-2 data The creation of the Fundamental Data Records (FDR4ALT) datasets _$$released in March 2024$$ https://earth.esa.int/eogateway/news/fdr4alt-esa-unveils-new-cutting-edge-ers-envisat-altimeter-and-microwave-radiometer-dataset , represent the new reference data for the ERS/Envisat altimetry missions, superseding any previous mission data. Users are therefore strongly encouraged to make use of these new datasets for optimal results. The records are aimed at different user communities and include the following datasets: 1.\t_$$Fundamental Data Records for Altimetry$$ https://earth.esa.int/eogateway/catalog/fdr-for-altimetry 2.\t_$$Fundamental Data Records for Radiometry$$ https://earth.esa.int/eogateway/catalog/fdr-for-radiometry 3.\t_$$Atmospheric Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-atmosphere 4.\t_$$Inland Waters Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-inland-water 5.\t_$$Land Ice Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-land-ice 6.\t_$$Ocean & Coastal Topography Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-ocean-and-coastal-topography 7.\t_$$Ocean Waves Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-ocean-waves 8.\t_$$Sea Ice Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-sea-ice ",
"license": "proprietary"
},
{
- "id": "ERS_ALT_2S_NA",
+ "id": "ERS_ALT_2S_6.0",
"title": "ERS-1/2 Radar Altimeter REAPER Sensor Geophysical Data Record - SGDR [ERS_ALT_2S]",
"catalog": "ESA STAC Catalog",
"state_date": "1991-08-03",
@@ -66295,12 +66126,12 @@
"bbox": "-180, -82, 180, 82",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336901-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336901-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ERS_ALT_2S_NA",
- "description": "This is a RA Sensor Geophysical Data Record (SDGR) product containing all of the parameters found in the REAPER GDR product (ERS_ALT_2_) with the addition of the echo waveform and selected parameters from the Level 1b data. The REAPER (REprocessing of Altimeter Products for ERS) product is generated by applying a similar processing as for Envisat RA-2 on the Level 1b consolidated waveforms using 4 different re-trackers, RA calibration improvement, new precise orbit solution (POD), new ionospheric corrections (NICO09 until 1998 and GIM up to 2003), ECMWF ERA-interim model and updated SSB tables. This product contains two data rates: a low rate of 1Hz and a high rate of 20Hz. Most 1Hz data is also represented at 20Hz, while microwave radiometer (MWR/MWS) data and the atmospheric and geophysical corrections are only given at 1 Hz. The REAPER SGDR (ERS_ALT_2S) is a global product including data over ocean, ice and land. It should be noted that this product differs from the Envisat RA2 in the following ways: the product format; which is NetCDF (more details can be found in the Product Handbook https://earth.esa.int/eogateway/documents/20142/37627/reaper-product-handbook-for-ers-altimetry-reprocessed-products.pdf), and not PDS the product is delivered based on orbit acquisition and not per pass (pole-to-pole) This product is extended through Envisat RA-2 data",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ERS_ALT_2S_6.0",
+ "description": "This is a RA Geophysical Data Record (GDR) product containing radar range, orbital altitude, wind speed, wave height and water vapour from the ATSR/MWR as well as geophysical corrections. The REAPER (REprocessing of Altimeter Products for ERS) product is generated by applying a similar processing as for Envisat RA-2 on the Level 1b consolidated waveforms using 4 different re-trackers, RA calibration improvement, new precise orbit solution (POD), new ionospheric corrections (NICO09 until 1998 and GIM up to 2003), ECMWF ERA-interim model and updated SSB tables. This product contains two data rates: a low rate of 1Hz and a high rate of 20Hz. Most 1Hz data is also represented at 20Hz, while microwave radiometer (ATSR/MWR) data and the atmospheric and geophysical corrections are only given at 1 Hz. The REAPER GDR (ERS_ALT_2_) is a global product including data over ocean, ice and land. It should be noted that this product differs from the Envisat RA2 in the following ways: The product format; which is NetCDF (more details can be found in the Product Handbook, and not PDS The product is delivered based on orbit acquisition and not per pass (pole-to-pole). This product is extended through Envisat RA-2 data. The creation of the Fundamental Data Records (FDR4ALT) datasets _$$released in March 2024$$ https://earth.esa.int/eogateway/news/fdr4alt-esa-unveils-new-cutting-edge-ers-envisat-altimeter-and-microwave-radiometer-dataset , represent the new reference data for the ERS/Envisat altimetry missions, superseding any previous mission data. Users are therefore strongly encouraged to make use of these new datasets for optimal results. The records are aimed at different user communities and include the following datasets: 1.\t_$$Fundamental Data Records for Altimetry$$ https://earth.esa.int/eogateway/catalog/fdr-for-altimetry 2.\t_$$Fundamental Data Records for Radiometry$$ https://earth.esa.int/eogateway/catalog/fdr-for-radiometry 3.\t_$$Atmospheric Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-atmosphere 4.\t_$$Inland Waters Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-inland-water 5.\t_$$Land Ice Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-land-ice 6.\t_$$Ocean & Coastal Topography Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-ocean-and-coastal-topography 7.\t_$$Ocean Waves Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-ocean-waves 8.\t_$$Sea Ice Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-sea-ice ",
"license": "proprietary"
},
{
- "id": "ERS_ALT_2__NA",
+ "id": "ERS_ALT_2__6.0",
"title": "ERS-1/2 Radar Altimeter REAPER Geophysical Data Record - GDR [ERS_ALT_2]",
"catalog": "ESA STAC Catalog",
"state_date": "1991-08-03",
@@ -66308,8 +66139,8 @@
"bbox": "-180, -82, 180, 82",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336902-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336902-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ERS_ALT_2__NA",
- "description": "This is a RA Geophysical Data Record (GDR) product containing radar range, orbital altitude, wind speed, wave height and water vapour from the MWR/MWS as well as geophysical corrections. The REAPER (REprocessing of Altimeter Products for ERS) product is generated by applying a similar processing as for Envisat RA-2 on the Level 1b consolidated waveforms using 4 different re-trackers, RA calibration improvement, new precise orbit solution (POD), new ionospheric corrections (NICO09 until 1998 and GIM up to 2003), ECMWF ERA-interim model and updated SSB tables. This product contains two data rates: a low rate of 1Hz and a high rate of 20Hz. Most 1Hz data is also represented at 20Hz, while microwave radiometer (MWR/MWS) data and the atmospheric and geophysical corrections are only given at 1 Hz. The REAPER GDR (ERS_ALT_2_) is a global product including data over ocean, ice and land. It should be noted that this product differs from the Envisat RA2 in the following ways: - the product format; which is NetCDF (more details can be found in the Product Handbook https://earth.esa.int/eogateway/documents/20142/37627/reaper-product-handbook-for-ers-altimetry-reprocessed-products.pdf), and not PDS - the product is delivered based on orbit acquisition and not per pass (pole-to-pole) This product is extended through Envisat RA-2 data",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ERS_ALT_2__6.0",
+ "description": "This is a RA Geophysical Data Record (GDR) product containing radar range, orbital altitude, wind speed, wave height and water vapour from the ATSR/MWR as well as geophysical corrections. The REAPER (REprocessing of Altimeter Products for ERS) product is generated by applying a similar processing as for Envisat RA-2 on the Level 1b consolidated waveforms using 4 different re-trackers, RA calibration improvement, new precise orbit solution (POD), new ionospheric corrections (NICO09 until 1998 and GIM up to 2003), ECMWF ERA-interim model and updated SSB tables. This product contains two data rates: a low rate of 1Hz and a high rate of 20Hz. Most 1Hz data is also represented at 20Hz, while microwave radiometer (ATSR/MWR) data and the atmospheric and geophysical corrections are only given at 1 Hz. The REAPER GDR (ERS_ALT_2_) is a global product including data over ocean, ice and land. It should be noted that this product differs from the Envisat RA2 in the following ways: The product format; which is NetCDF (more details can be found in the Product Handbook, and not PDS The product is delivered based on orbit acquisition and not per pass (pole-to-pole). This product is extended through Envisat RA-2 data. The creation of the Fundamental Data Records (FDR4ALT) datasets _$$released in March 2024$$ https://earth.esa.int/eogateway/news/fdr4alt-esa-unveils-new-cutting-edge-ers-envisat-altimeter-and-microwave-radiometer-dataset , represent the new reference data for the ERS/Envisat altimetry missions, superseding any previous mission data. Users are therefore strongly encouraged to make use of these new datasets for optimal results. The records are aimed at different user communities and include the following datasets: 1.\t_$$Fundamental Data Records for Altimetry$$ https://earth.esa.int/eogateway/catalog/fdr-for-altimetry 2.\t_$$Fundamental Data Records for Radiometry$$ https://earth.esa.int/eogateway/catalog/fdr-for-radiometry 3.\t_$$Atmospheric Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-atmosphere 4.\t_$$Inland Waters Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-inland-water 5.\t_$$Land Ice Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-land-ice 6.\t_$$Ocean & Coastal Topography Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-ocean-and-coastal-topography 7.\t_$$Ocean Waves Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-ocean-waves 8.\t_$$Sea Ice Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-sea-ice ",
"license": "proprietary"
},
{
@@ -66390,6 +66221,45 @@
"description": "An ESRI formatted triangular irregular network (TIN) of the Antarctic continental terrain, derived from ERS radar altimeter data. The data is in a Polar Stereographic projection with true scale at 71 degrees South. The TIN is unreliable in latitudes south of 82 degrees South and steep areas of the continent, particularly along the coast. ESA's two European Remote Sensing (ERS) satellites, ERS-1 and 2, were launched into the same orbit in 1991 and 1995 respectively. Their payloads included a synthetic aperture imaging radar, radar altimeter and instruments to measure ocean surface temperature and wind fields. ERS-2 added an additional sensor for atmospheric ozone monitoring. The two satellites acquired a combined data set extending over two decades. The ERS-1 mission ended on 10 March 2000 and ERS-2 was retired on 05 September 2011.",
"license": "proprietary"
},
+ {
+ "id": "ESA_Orthorectified_Map_oriented_Level1_products_6.0",
+ "title": "MOS-1/1B ESA Orthorectified Map-oriented Products [MES_GEC_1P]",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "1987-09-08",
+ "end_date": "1993-08-20",
+ "bbox": "-120, 19, 95, 87",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394868-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394868-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ESA_Orthorectified_Map_oriented_Level1_products_6.0",
+ "description": "The ESA Orthorectified Map-oriented (Level 1) Products collection is composed of MOS-1/1B MESSR (Multi-spectral Electronic Self-Scanning Radiometer) data products generated as part of the MOS Bulk Processing Campaign using the MOS Processor v3.02. The products are available in GeoTIFF format and disseminated within EO-SIP packaging. Please refer to the _$$MOS Product Format Specification$$ https://earth.esa.int/eogateway/documents/d/earth-online/mos-product-format-specification for further details. The collection consists of data products of the following type: MES_GEC_1P: Geocoded Ellipsoid GCP Corrected Level 1 MOS-1/1B MESSR products which are the default products generated by the MOS MESSR processor in all cases (where possible), with usage of the latest set of LANDSAT improved GCP (Ground Control Points). These are orthorectified map-oriented products, corresponding to the old MOS-1/1B MES_ORT_1P products with geolocation improvements. MESSR Instrument Characteristics Band\tWavelength Range (nm)\tSpatial Resolution (m)\tSwath Width (km) 1 (VIS)\t510 \u2013 690\t50\t100 2 (VIS)\t610 \u2013 690\t50\t100 3 (NIR)\t720 \u2013 800\t50\t100 4 (NIR)\t800 \u2013 1100\t50\t100",
+ "license": "proprietary"
+ },
+ {
+ "id": "ESA_System_corrected_Level_1_MOS_1_1B_VTIR_product_6.0",
+ "title": "MOS-1/1B ESA System Corrected VTIR Products [VTI_SYC_1P]",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "1987-09-08",
+ "end_date": "1993-09-30",
+ "bbox": "-120, 19, 95, 87",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325393706-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325393706-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ESA_System_corrected_Level_1_MOS_1_1B_VTIR_product_6.0",
+ "description": "The ESA System Corrected (Level 1) MOS-1/1B VTIR Products collection is composed of MOS-1/1B VTIR (Visible and Thermal Infrared Radiometer) data products generated as part of the MOS Bulk Processing Campaign using the MOS Processor v3.02. The products are available in GeoTIFF format and disseminated within EO-SIP packaging. Please refer to the MOS Product Format Specification for further details. The collection consists of data products of the following type: VTI_SYC_1P: System corrected Level 1 MOS-1/1B VTIR products in EO-SIP format. Band\tWavelength Range (\u00b5m)\tSpatial Resolution (km)\tSwath Width (km) 1 (VIS)\t0.5 \u2013 0.7\t 0.9\t 1500 2 (TIR)\t6.0 \u2013 7.0\t 2.7\t 1500 3 (TIR)\t10.5 \u2013 11.5\t 2.7\t 1500 4 (TIR)\t11.5 \u2013 12.5\t 2.7\t 1500",
+ "license": "proprietary"
+ },
+ {
+ "id": "ESA_System_corrected_map_oriented_Level_1_products_6.0",
+ "title": "MOS-1/1B ESA System Corrected Map-oriented Products [MES_GES_1P]",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "1987-09-08",
+ "end_date": "1993-08-20",
+ "bbox": "-120, 19, 95, 87",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394286-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394286-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ESA_System_corrected_map_oriented_Level_1_products_6.0",
+ "description": "The ESA System Corrected Map-oriented (Level 1) Products collection is composed of MOS-1/1B MESSR (Multi-spectral Electronic Self-Scanning Radiometer) data products generated as part of the MOS Bulk Processing Campaign using the MOS Processor v3.02. The products are available in GeoTIFF format and disseminated within EO-SIP packaging. Please refer to the _$$MOS Product Format Specification$$ https://earth.esa.int/eogateway/documents/d/earth-online/mos-product-format-specification for further details. The collection consists of data products of the following type: MES_GES_1P: Geocoded Ellipsoid System Corrected Level 1 MOS-1/1B MESSR products as generated by the MOS MESSR processor where the generation of MES_GEC_1P products is not possible. These replace the old MES_SYC_1P products. MESSR Instrument Characteristics Band\tWavelength Range (nm)\tSpatial Resolution (m)\tSwath Width (km) 1 (VIS)\t510 \u2013 690\t50\t100 2 (VIS)\t610 \u2013 690\t50\t100 3 (NIR)\t720 \u2013 800\t50\t100 4 (NIR)\t800 \u2013 1100\t50\t100",
+ "license": "proprietary"
+ },
{
"id": "ESCAPE_0",
"title": "Measurements taken off The Netherlands in the North Sea in 1998",
@@ -66546,6 +66416,110 @@
"description": "EXport Processes in the Ocean from RemoTeSensing (EXPORTS) is a NASA-led and NSF co-funded science project aiming to understand export and fate of upper ocean net primary production (NPP) using satellite remote sensing, state of the art ocean field measurements, and numerical models. EXPORTS lead a pre-EXPORTS modeling and data-mining activity, followed by two major oceanographic expeditions: EXPORTS North Pacific (EXPORTSNP) and EXPORTS North Atlantic (EXPORTSNA); and it is currently on a final project phase of synthesis and modeling. The EXPORTSNP deployment was conducted at Ocean Station Papa (Station P, nominally 50N, 145W) operated by Canada's Line P time-series sampling program. The EXPORTS 2018 field deployment consisted of four major components: 1) the R/V Roger Revelle (cruise id= RR1813) functioned as the Process Ship, sampling BGC stocks and fluxes, ecological abundances and rates, and optical properties following a Lagrangian float; 2) the R/V Sally Ride(cruise id=SR1012) was the Survey Ship and characterized spatial variability about the Process Ship on scales from about 1 to 100 km; 4) a heterogeneous array of AUV platforms was deployed to set the spatial center of the sampling program, to provide horizontal spatial and high-temporal information, and to extend the temporal presence in the area; and 4) a long-term sampling presence was created, tying the ship-based observations to climatically relevant time and space scales using BGC floats and partnerships with ongoing research programs. The EXPORTSNA deployment was conducted at the Porcupine Abyssal Plain (Station PAP, nominally) in collaboration with the PAP Sustained Observatory (PAP-SO) which is a sustained, multidisciplinary observatory in the North Atlantic coordinated by the National Oceanography Centre, Southampton. Similar to the North Pacific filed mission, EXPORTSNA consisted of Process Ship represented by the RRS James Cook (cruise id = JC214), a Survey Ship represented by the RRS Discovery (cruise id = DY131), over 40 autonomous assets, and long-term collaboration and observations using BGC floats and partnerships with ongoing research programs. Among the assets, the user will find data from 3 different glider missions (SG219, SG237, SL305), a lagrangian floats (LF092), Neutrally Buoyant Sediment Traps (NBST) floats, Wirewalker, TZEK, and Minions. EXPORTS partnered with the Ocean Twilight Zone (OTZ) program with a third vessel, the R/V Sarmiento de Gamboa (cruise id= SG2105) that join them at the PAP station. EXPORTS funded data were collected aboard SG2105 as well, however, all the data collected is served under the OTZ_WHOI SeaBASS experiment and cruise SG2105. For additional information about the EXPORTS field experiments please refer to Siegel et al., 2021. EXPORTS data funded under NSF can be found in BCO-DMO: https://www.bco-dmo.org/program/757397 To find information about all the data collected under EXPORTS and their data repositories and availability, please visit: https://sites.google.com/view/oceanexports/home",
"license": "proprietary"
},
+ {
+ "id": "EarthCAREAuxiliary_3.0",
+ "title": "EarthCARE Auxiliary Data for Cal/Val Users",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "2024-05-28",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394702-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394702-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/EarthCAREAuxiliary_3.0",
+ "description": "EarthCARE data products encompass essential supporting auxiliary (AUX) and orbit data critical for accurate sensor data processing and analysis. AUX data includes datasets used outside the primary Space Segment stream to apply corrections to sensor data. This comprises previously derived calibration parameters, ground control data, and digital elevation data. Calibration parameters ensure measurement accuracy, while ground control data aids in data validation, and digital elevation data enables precise geolocation. Orbit data consists of on-board satellite data and orbital information. For EarthCARE, this includes Reconstructed Orbit and Attitude Files, which provide detailed satellite positioning and orientation information. The integration of AUX and orbit data into EarthCARE's data processing workflow ensures the production of high-quality, scientifically valuable datasets for atmospheric research, climate modeling, and environmental monitoring.",
+ "license": "proprietary"
+ },
+ {
+ "id": "EarthCAREL0L1Products_4.0",
+ "title": "EarthCARE L0 and L1 Products for the Commissioning Team",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "2024-05-28",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394261-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394261-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/EarthCAREL0L1Products_4.0",
+ "description": "This EarthCARE collection is restricted, and contains the following data products: \u00b7 Level 0: Annotated Raw Instrument Source Packets These packets contain unprocessed data as generated by EarthCARE's instruments, annotated with basic metadata in front of each packet. \u00b7 Level 1b: Fully Calibrated and Geolocated Instrument Measurements Level 1b products are fully processed, calibrated, and geolocated measurements from EarthCARE's instruments. Each measurement is aligned with the native instrument grid. For the Broadband Radiometer (BBR), measurements are also spatially integrated to various ground pixel sizes. \u00b7 Level 1c (MSI only): MSI Level 1b Data Interpolated to a Common Spatial Grid Specifically for the Multi-Spectral Imager (MSI), Level 1c data involves interpolating Level 1b measurements onto a standardized spatial grid that is consistent across all MSI bands. This grid closely matches the spacing used in MSI Level 1b data. \u00b7 Level 1d: Joint Standard Grid (JSG) for All Instruments and ECMWF Meteorological Fields. Level 1d data provide a spatial grid to enable easy collocation and synergistic use of the data from all EarthCARE instruments, named the "joint standard grid." Additionally, this level incorporates ECMWF (European Centre for Medium-Range Weather Forecasts) meteorological fields limited to the EarthCARE swath, enabling comprehensive analysis and modelling of atmospheric conditions within the satellite's coverage area.",
+ "license": "proprietary"
+ },
+ {
+ "id": "EarthCAREL1InstChecked_5.0",
+ "title": "EarthCARE L1 Products for Cal/Val Users",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "2024-05-28",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394522-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394522-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/EarthCAREL1InstChecked_5.0",
+ "description": "This EarthCARE collection is restricted, and contains the following data products: \u00b7 Level 1b: Fully Calibrated and Geolocated Instrument Science Measurements Level 1b data represents the fully processed, calibrated, and geolocated measurements from EarthCARE's instruments. Each measurement is aligned with the native instrument grid. For the Broadband Radiometer (BBR), measurements are also spatially integrated to various groundpixel sizes. \u00b7 Level 1c (MSI only): MSI Level 1b Data Interpolated to a Common Spatial Grid Specifically for the Multi-Spectral Imager (MSI), Level 1c data involves interpolating Level 1b measurements onto a standardized spatial grid that is consistent across all MSI bands. This grid closely matches the spacing used in MSI Level 1b data. \u00b7 Level 1d: Joint Standard Grid (JSG) for All Instruments with ECMWF Meteorological Fields. Level 1d data provides a spatial grid to enable easy collocation and synergistic use of the data from all EarthCARE instruments, named the "joint standard grid." Additionally, this level incorporates ECMWF (European Centre for Medium-Range Weather Forecasts) meteorological fields limited to the EarthCARE swath, enabling comprehensive analysis and modeling of atmospheric conditions within the satellite's coverage area.",
+ "license": "proprietary"
+ },
+ {
+ "id": "EarthCAREL1Validated_3.0",
+ "title": "EarthCARE L1 Products",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "2024-05-28",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325393791-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325393791-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/EarthCAREL1Validated_3.0",
+ "description": "This EarthCARE collection contains the following data products: Level 1b: Fully Calibrated and Geolocated Instrument Science Measurements Level 1b data represents the fully processed, calibrated, and geolocated measurements from EarthCARE's instruments. Each measurement is aligned with the native instrument grid. For the Broadband Radiometer (BBR), measurements are also spatially integrated to various groundpixel sizes. Level 1c (MSI only): MSI Level 1b Data Interpolated to a Common Spatial Grid Specifically for the Multi-Spectral Imager (MSI), Level 1c data involves interpolating Level 1b measurements onto a standardized spatial grid that is consistent across all MSI bands. This grid closely matches the spacing used in MSI Level 1b data. Level 1d: Joint Standard Grid (JSG) for All Instruments with ECMWF Meteorological Fields. Level 1d data provides a spatial grid to enable easy collocation and synergistic use of the data from all EarthCARE instruments, named the "joint standard grid." Additionally, this level incorporates ECMWF (European Centre for Medium-Range Weather Forecasts) meteorological fields limited to the EarthCARE swath, enabling comprehensive analysis and modelling of atmospheric conditions within the satellite's coverage area. CPR level 1b: C-NOM products is generated and provided by JAXA. This product is used as input, in combination with the X-MET aux file, for different processors in the EarthCARE production chain. AUX_MET_1D: meteorological analysis and forecast fields X-MET provided by ECMWF. This product is used as input, in combination with the C-NOM product, for different processors in the EarthCARE production chain.",
+ "license": "proprietary"
+ },
+ {
+ "id": "EarthCAREL2InstChecked_4.0",
+ "title": "EarthCARE ESA L2 Products for Cal/Val Users",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "2024-05-28",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325393801-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325393801-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/EarthCAREL2InstChecked_4.0",
+ "description": "This EarthCARE collection is restricted, and contains the following data products: \u00b7 Level 2a: Single-Instrument Geophysical Products These products are derived from individual instrument data onboard EarthCARE. They provide detailed geophysical parameters and properties specific to each instrument's capabilities for example cloud and aerosol properties derived solely from radar or lidar measurements, offering high-resolution insights into atmospheric phenomena. \u00b7 Level 2b: Synergistic Geophysical Products Level 2b products leverage data from multiple EarthCARE instruments to generate comprehensive, synergistic geophysical datasets. By combining measurements from instruments like radar, lidar, and radiometers, these products offer a more integrated view of cloud-aerosol interactions and atmospheric dynamics. Synergistic products provide enhanced accuracy and depth compared to single-instrument outputs, enabling detailed studies of complex atmospheric processes.",
+ "license": "proprietary"
+ },
+ {
+ "id": "EarthCAREL2Products_4.0",
+ "title": "EarthCARE ESA L2 Products for the Commissioning Team",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "2024-05-28",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325393726-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325393726-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/EarthCAREL2Products_4.0",
+ "description": "This EarthCARE collection contains the following data products: Level 2a: Single-Instrument Geophysical Products These products are derived from individual instrument data onboard EarthCARE. They provide detailed geophysical parameters and properties specific to each instrument's capabilities for example cloud and aerosol properties derived solely from radar or lidar measurements, offering high-resolution insights into atmospheric phenomena. Level 2b: Synergistic Geophysical Products Level 2b products leverage data from multiple EarthCARE instruments to generate comprehensive, synergistic geophysical datasets. By combining measurements from instruments like radar, lidar, and radiometers, these products offer a more integrated view of cloud-aerosol interactions and atmospheric dynamics. Synergistic products provide enhanced accuracy and depth compared to single-instrument outputs, enabling detailed studies of complex atmospheric processes.",
+ "license": "proprietary"
+ },
+ {
+ "id": "EarthCAREL2Validated_3.0",
+ "title": "EarthCARE ESA L2 Products",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "2024-05-28",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394337-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394337-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/EarthCAREL2Validated_3.0",
+ "description": "This EarthCARE collection contains the following data products: Level 2a: Single-Instrument Geophysical Products These products are derived from individual instrument data onboard EarthCARE. They provide detailed geophysical parameters and properties specific to each instrument's capabilities for example cloud and aerosol properties derived solely from radar or lidar measurements, offering high-resolution insights into atmospheric phenomena. Level 2b: Synergistic Geophysical Products Level 2b products leverage data from multiple EarthCARE instruments to generate comprehensive, synergistic geophysical datasets. By combining measurements from instruments like radar, lidar, and radiometers, these products offer a more integrated view of cloud-aerosol interactions and atmospheric dynamics. Synergistic products provide enhanced accuracy and depth compared to single-instrument outputs, enabling detailed studies of complex atmospheric processes.",
+ "license": "proprietary"
+ },
+ {
+ "id": "EarthCAREOrbitData_2.0",
+ "title": "EarthCARE Orbit Data",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "2024-05-28",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325393874-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325393874-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/EarthCAREOrbitData_2.0",
+ "description": "EarthCARE data products encompass essential supporting auxiliary (AUX) and orbit data critical for accurate sensor data processing and analysis. Orbit data consists of on-board satellite data and orbital information predicted or determined by the Flight Operations Segment (FOS). For EarthCARE, this includes Reconstructed Orbit and Attitude Files, which provide detailed satellite positioning and orientation information. The integration of AUX and orbit data into EarthCARE's data processing workflow ensures the production of high-quality, scientifically valuable datasets for atmospheric research, climate modeling, and environmental monitoring.",
+ "license": "proprietary"
+ },
{
"id": "East Africa Agricultural Field Centers_1",
"title": "East Africa Agricultural Field Centers",
@@ -66742,7 +66716,7 @@
"license": "proprietary"
},
{
- "id": "EnvisatAATSRL1BBrightnessTemperatureRadianceAT1RBT_NA",
+ "id": "EnvisatAATSRL1BBrightnessTemperatureRadianceAT1RBT_8.0",
"title": "Envisat AATSR L1B Brightness Temperature/Radiance [ENV_AT_1_RBT]",
"catalog": "ESA STAC Catalog",
"state_date": "2002-05-20",
@@ -66750,7 +66724,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2619280648-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2619280648-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/EnvisatAATSRL1BBrightnessTemperatureRadianceAT1RBT_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/EnvisatAATSRL1BBrightnessTemperatureRadianceAT1RBT_8.0",
"description": "The Envisat AATSR Level 1B Brightness Temperature/Radiance product (RBT) contains top of atmosphere (TOA) brightness temperature (BT) values for the infra-red channels and radiance values for the visible channels, on a 1-km pixel grid. Values for each channel and for the nadir and oblique views occupy separate NetCDF files within the Sentinel-SAFE format, along with associated uncertainty estimates. Additional files contain cloud flags, land and water masks, and confidence flags for each image pixel, as well as instrument and ancillary meteorological information. This AATSR product [ENV_AT_1_RBT] in NetCDF format stemming from the 4th AATSR reprocessing, is a continuation of ERS ATSR data and a precursor of Sentinel-3 SLSTR data. It has replaced the former L1B product [ATS_TOA_1P] in Envisat format from the 3rd reprocessing. Users with Envisat-format products are recommended to move to the new Sentinel-SAFE like/NetCDF format products. The 4th reprocessing of ENVISAT AATSR data was completed in 2022; the processing updates that have been put in place and the expected scientific improvements have been outlined in full in the _$$User Documentation for (A)ATSR 4th Reprocessing Products$$ https://earth.esa.int/documents/20142/37627/QA4EO-VEG-OQC-MEM-4538_User_Documentation_for__A_ATSR_4th_Reprocessing_Level_1.pdf .",
"license": "proprietary"
},
@@ -66936,6 +66910,45 @@
"description": "This dataset is a census of penguin colony counts from the year 1900 in the Antarctic region. It forms part of the Inventory of Antarctic seabird breeding sites within the Antarctic and subantarctic islands. The Antarctic and subantarctic fauna database (seabirds) is a database detailing the distribution and abundance of breeding localities for Antarctic and Subantarctic seabirds. Each species' compilation was produced by members of the SCAR Bird Biology Subcommittee. This separate metadata record has been created beacause it represents only the penguin colony counts that have been published to OBIS. Note: The Year (not day or month) date is only relevent in this dataset. The positions that have been published to OBIS include latitude and longitude positions that were not included within the original dataset. The latitude and longitude positions that were not noted by the observer have been created from the locality given by the observer using the Antarctic Composite Gazetteer. Two spreadsheets are available for download, from the URL given below. The original, unmodified spreadsheet is available, as well as a corrected spreadsheet. In the corrected spreadsheet, the AADC has attempted to reconcile the poorly presented localities into a single column. It is possible that some of these localities may not be correct. The fields in this dataset are: SCAR Number Species Region Locality Longitude Latitude Number of Colonies Number of Pairs Type and accuracy of count Data Date References Remarks These data are further referenced in ANARE Research Notes 9 - see reference below.",
"license": "proprietary"
},
+ {
+ "id": "FDRforAltimetry_6.0",
+ "title": "Fundamental Data Records for Altimetry [ALT_FDR___]",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "1991-08-03",
+ "end_date": "2012-04-08",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394451-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394451-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/FDRforAltimetry_6.0",
+ "description": "This dataset is a Fundamental Data Record (FDR) resulting from the _$$ESA FDR4ALT project$$ https://www.fdr4alt.org/ . The Fundamental Data Record for Altimetry V1 products contain Level 0 and Level 1 altimeter-related parameters including calibrated radar waveforms and supplementary instrumental parameters describing the altimeter operating status and configuration through the satellite lifetime. The data record consists of data for the ERS-1, ERS-2 and Envisat missions for the period ranging from 1991 to 2012, and bases on the Level 1 data obtained from previous ERS REAPER and ENVISAT V3.0 reprocessing efforts incorporating new algorithms, flags, and corrections to enhance the accuracy and reliability of the data. For many aspects, the Altimetry FDR product has improved compared to the existing individual mission datasets: New neural-network waveform classification, surface type classification, distance to shoreline and surface flag based on GSHHG Instrumental calibration information directly available in the product Improved Orbit solutions Correction of REAPER drawbacks (i.e., time jumps and negative waveforms) The FDR4ALT products are available in NetCDF format. Free standard tools for reading NetCDF data can be used. Information for expert altimetry users is also available in a dedicated NetCDF group within the products. Please consult the _$$FDR4ALT Product User Guide$$ https://earth.esa.int/eogateway/documents/d/earth-online/fdr4alt-products-user-guide before using the data. The FDR4ALT datasets represent the new reference data for the ERS/Envisat altimetry missions, superseding any previous mission data. Users are strongly encouraged to make use of these datasets for optimal results.",
+ "license": "proprietary"
+ },
+ {
+ "id": "FDRforAtmosphericCompositionATMOSL1B_4.0",
+ "title": "Fundamental Data Record for Atmospheric Composition [ATMOS__L1B]",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "1995-06-28",
+ "end_date": "2012-04-07",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394388-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394388-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/FDRforAtmosphericCompositionATMOSL1B_4.0",
+ "description": "The Fundamental Data Record (FDR) for Atmospheric Composition UVN Level 1b v.1.0 dataset is a cross-instrument Level-1 product [ATMOS__L1B] generated in 2023 and resulting from the _$$ESA FDR4ATMOS project$$ https://atmos.eoc.dlr.de/FDR4ATMOS/ . The FDR contains selected Earth Observation Level 1b parameters (irradiance/reflectance) from the nadir-looking measurements of the ERS-2 GOME and Envisat SCIAMACHY missions for the period ranging from 1995 to 2012. The data record offers harmonised cross-calibrated spectra, essential for subsequent trace gas retrieval. The focus lies on spectral windows in the Ultraviolet-Visible-Near Infrared regions the retrieval of critical atmospheric constituents like ozone (O3), sulphur dioxide (SO2), nitrogen dioxide (NO2) column densities, alongside cloud parameters in the NIR spectrum. For many aspects, the FDR product has improved compared to the existing individual mission datasets: \u2022\tGOME solar irradiances are harmonised using a validated SCIAMACHY solar reference spectrum, solving the problem of the fast-changing etalon present in the original GOME Level 1b data; \u2022\tReflectances for both GOME and SCIAMACHY are provided in the FDR product. GOME reflectances are harmonised to degradation-corrected SCIAMACHY values, using collocated data from the CEOS PIC sites; \u2022\tSCIAMACHY data are scaled to the lowest integration time within the spectral band using high-frequency PMD measurements from the same wavelength range. This simplifies the use of the SCIAMACHY spectra which were split in a complex cluster structure (with own integration time) in the original Level 1b data; \u2022\tThe harmonization process applied mitigates the viewing angle dependency observed in the UV spectral region for GOME data; \u2022\tUncertainties are provided. Each FDR product covers three FDRs (irradiance/reflectance for UV-VIS-NIR) for a single day within the same product including information from the individual ERS-2 GOME and Envisat SCIAMACHY orbits therein. FDR has been generated in two formats: Level 1A and Level 1B targeting expert users and nominal applications respectively. The Level 1A [ATMOS__L1A] data include additional parameters such as harmonisation factors, PMD, and polarisation data extracted from the original mission Level 1 products. The ATMOS__L1A dataset is not part of the nominal dissemination to users. In case of specific requirements, please contact _$$EOHelp$$ http://esatellus.service-now.com/csp?id=esa_simple_request&sys_id=f27b38f9dbdffe40e3cedb11ce961958 . The FDR4ATMOS products should be regarded as experimental due to the innovative approach and the current use of a limited-sized test dataset to investigate the impact of harmonization on the Level 2 target species, specifically SO2, O3 and NO2. Presently, this analysis is being carried out within follow-on activities. One of the main aspects of the project was the characterization of Level 1 uncertainties for both instruments, based on metrological best practices. The following documents are provided: 1.\tGeneral guidance on a metrological approach to Fundamental Data Records (FDR) -> link TBC 2.\tUncertainty Characterisation document -> link TBC 3.\tEffect tables -> link TBC 4.\tNetCDF files containing example uncertainty propagation analysis and spectral error correlation matrices for SCIAMACHY (Atlantic and Mauretania scene for 2003 and 2010) and GOME (Atlantic scene for 2003) links TBC reflectance_uncertainty_example_FDR4ATMOS_GOME.nc reflectance_uncertainty_example_FDR4ATMOS_SCIA.nc The FDR V1 is currently being extended to include the MetOp GOME-2 series. All the new products are conveniently formatted in NetCDF. Free standard tools, such as _$$Panoply$$ https://www.giss.nasa.gov/tools/panoply/ , can be used to read NetCDF data. Panoply is sourced and updated by external entities. For further details, please consult our _$$Terms and Conditions page$$ https://earth.esa.int/eogateway/terms-and-conditions .",
+ "license": "proprietary"
+ },
+ {
+ "id": "FDRforRadiometry_5.0",
+ "title": "Fundamental Data Records for Radiometry [MWR_FDR___]",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "1991-08-03",
+ "end_date": "2012-04-08",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325393568-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325393568-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/FDRforRadiometry_5.0",
+ "description": "This dataset is a Fundamental Data Record (FDR) resulting from the _$$ESA FDR4ALT project$$ https://www.fdr4alt.org/ . The Fundamental Data Record for Radiometry V1 products contain intercalibrated Top of the Atmosphere brightness temperatures at 23.8 and 36.5 GHz. The collection covers data for the ERS-1, ERS-2 and Envisat missions, and is built upon a new processing of Level 0 data, incorporating numerous improvements in terms of algorithms, flagging procedures, and corrections. Compared to existing datasets, the Radiometry FDR demonstrates notable improvements in several aspects: New solutions for instrumental effects (ERS Reflector loss, Skyhorn, and Sidelobe corrections) Native sampling rate of 7Hz with enhanced coverage The FDR4ALT products are available in NetCDF format. Free standard tools for reading NetCDF data can be used. Information for expert altimetry users is also available in a dedicated NetCDF group within the products. Please consult the _$$FDR4ALT Product User Guide$$ https://earth.esa.int/eogateway/documents/d/earth-online/fdr4alt-products-user-guide before using the data. The FDR4ALT datasets represent the new reference data for the ERS/Envisat altimetry missions, superseding any previous mission data. Users are strongly encouraged to make use of these datasets for optimal results.",
+ "license": "proprietary"
+ },
{
"id": "FEDMAC_AEROSOLS",
"title": "Aerosol Optical Thickness Measurements During the Forest Ecosystem Dynamics - Multisensor Aircraft Campaign",
@@ -69315,6 +69328,19 @@
"description": "The VIIRS-CrIS Data Fusion Level-2 Product is designed to facilitate improved continuity in derived cloud and moisture products realized with HIRS and MODIS and to continue other applications that require IR absorption spectral bands. Based on data fusion with VIIRS (Visible Infrared Imaging Radiometer Suite) and CrIS (Cross-track Infrared Sounder), infrared (IR) absorption band radiances for VIIRS are constructed at 750m spatial resolution (i.e., M-band resolution). These spectral bands are similar to the MODIS spectral bands. This L2 SNPP VIIRS+CrIS product release relates to Version-2.0 (v2.0) collection, which has undergone some improvements over its previous version. In the v2.0 Fusion product, scanlines are checked for quality instead of the entire input granule as was done in the previous version of this product. Such a process has helped salvage and use granules with continuous blocks of good data with good calibration. The v2.0 product also includes a couple of improvements to the VIIRS-CrIS collocation. The first relates to how VIIRS scan sync loss events are addressed while the other correctly characterizes VIIRS pixels that should have been identified as falling within a CrIS Field-of-View. A final improvement in the v2.0 product attempts to correct an artifact detected over warm, dry surfaces in the water vapor channels that are derived using the MODIS Band-27 and -28 response functions that apparently manifest signs of surface features that should not exist for these channels. Check the User Guide for further details on these improvements. The fusion radiances, and look-up tables required to compute the related brightness temperatures, are stored in compressed NetCDF4 files of 6-minutes duration. The L2 VIIRS+CRiS Fusion product has a horizontal pixel size of 750m, which is the native VIIRS moderate-resolution (M) band pixel-size. Consult the VIIRS+CRiS Fusion product User Guide for additional information regarding this product\u2019s algorithm, file format, global and data-field attributes, quality control flags, etc. ",
"license": "proprietary"
},
+ {
+ "id": "FSSCat.products_5.0",
+ "title": "FSSCat products",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "2020-09-23",
+ "end_date": "2021-01-28",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394553-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394553-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/FSSCat.products_5.0",
+ "description": "The FSSCat collection provides hyperspectral data coverage over a number of locations around the world, as measured by the HyperScout 2 sensor. The FSSCat hyperspectral data products are comprised of 50 spectral bands, covering a spectral range of 450 \u2013 950 nm with a spectral resolution of 18 nm (at FWHM). Imagery is available with an along-track ground sampling distance (GSD) of 75 m. To ensure a high degree of radiometric accuracy, HyperScout 2 data are validated through comparison with Sentinel-2 data products. The processing level of the data is L1C \u2013 calibrated top-of-atmosphere radiance, reflectance or brightness temperature. The raster type of the L1C data product is a GRID \u2013 a 2D or 3D raster where the (geo)location of the data is uniquely defined by the upper left pixel location of the raster and the pixel size of the raster, and the projection parameters of the raster (if georeferenced). The third dimension can e.g. be a spectral or third spatial dimension. The L-1C VNIR data product includes a hyperspectral cube of TOA reflectance in the VNIR range, as well as relevant meta-data that adheres to EDAP's best practice guidelines. This product consists of georeferenced and ortho-rectified image tiles that contain spectral reflectance data at the top-of-the-atmosphere. Each image tile contains radiometrically corrected and ortho-rectified band images that are projected onto a map, as well as geolocation information and the coordinate system used. Additionally, each image pixel provides TOA spectral reflectance data in scaled integers, conversion coefficients for spectral radiance units, viewing and solar zenith and azimuth angles, and quality flags.",
+ "license": "proprietary"
+ },
{
"id": "F_Bibliography_1",
"title": "A bibliography containing references to flora from the Antarctic and subantarctic regions",
@@ -79118,7 +79144,20 @@
"license": "proprietary"
},
{
- "id": "GEOSAT-2.Portugal.Coverage_NA",
+ "id": "GEOSAT-1.and.2.ESA.archive_9.0",
+ "title": "GEOSAT-1 and 2 ESA archive",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "2009-08-01",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394549-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394549-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/GEOSAT-1.and.2.ESA.archive_9.0",
+ "description": "GEOSAT 1 and 2 collection is composed of products acquired by the GEOSAT 1 and GEOSAT 2 Spanish satellites. The collection regularly grows as ESA collects new products. GEOSAT-1 standard products offered are: \u2022 SL6_22P: SLIM6, 22m spatial resolution, from bank P \u2022 SL6_22S: SLIM6, 22m spatial resolution, from bank S \u2022 SL6_22T: SLIM6, 22m spatial resolution, 2 banks merged together GEOSAT-1 products are available in two different processing levels: \u2022 Level 1R: All 3 Spectral channels combined into a band-registered image using L0R data. Geopositioned product based on rigorous sensor model. Coefficients derived from internal and external satellite orientation parameters coming from telemetry and appended to metadata. \u2022 Level 1T: data Orthorectified to sub-pixel accuracy (10 meters RMS error approximately) with respect to Landsat ETM+ reference data and hole-filled seamless SRTM DEM data V3, 2006 (90 m). The use of the GCPs, it is not automatic, as it is done manually, which gives greater precision. (GCPs by human operators). GEOSAT-2 standard products offered are: \u2022 Pan-sharpened (HRA_PSH four-band image, HRA_PS3 321 Natural Colours, HRA_PS4 432 False Colours): a four-band image, resulting from adding the information of each multispectral band to the panchromatic band. The fusion does not preserve all spectral features of the multispectral bands, so it should not be used for radiometric purposes. \u2022 Panchromatic (HRA_PAN): a single-band image coming from the panchromatic sensor.HRA_MS4: Multispectral (HRA_MS4): a four-band image coming for the multispectral sensor, with band co-registration. \u2022 Bundle (HRA_PM4): a five-band image contains the panchromatic and multispectral products packaged together, with band co-registration. \u2022 Stereo Pair (HRA_STP): The image products obtained from two acquisitions of the same target performed from different viewpoints in the same pass by using the agility feature of the platform. It can be provided as a pair of pan sharpened or panchromatic images. GEOSAT-2 products are available in two different processing levels: \u2022 Level 1B: A calibrated and radiometrically corrected product, but not resampled. The product includes the Rational Polynomial Coefficients (RPC), the metadata with gain and bias values for each band, needed to convert the digital numbers into radiances at pixel level, and information about geographic projection (EPGS), corners geolocation, etc. \u2022 Level 1C: A calibrated and radiometrically corrected product, manually orthorectified and resampled to a map grid. The geometric information is contained in the GeoTIFF tags. Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/smcat/GEOSAT/ available on the Third Party Missions Dissemination Service. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided.",
+ "license": "proprietary"
+ },
+ {
+ "id": "GEOSAT-2.Portugal.Coverage_7.0",
"title": "GEOSAT-2 Portugal Coverage 2021",
"catalog": "ESA STAC Catalog",
"state_date": "2021-01-08",
@@ -79126,8 +79165,21 @@
"bbox": "-39, 28, -2, 48",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2619280469-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2619280469-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/GEOSAT-2.Portugal.Coverage_NA",
- "description": "Description GEOSAT-2 Portugal coverage is a collection of a 2021`s data over the Portugal area, including islands. The available dataset hasve a cloud cover less thaen 10%, and is acquired up to 1m resolution with Geometric accuracy <6m CE90 based on Copernicus DEM @10m. in tThe following acquisition modesproduct types are available: \u2022\tPan-sharpened (4 bands, 321 Natural Colours or 432 False Colours): A four-band image, resulting from adding the information of each multispectral band to the panchromatic band. The fusion does not prereserves all spectral features of the multispectral bands, so it should not be used for radiometric purposes. Resolution 1m; Bands: All, R-G-B or Ni-R-G \u2022\tBundle: Panchromatic (1m resolution) + Multispectral bands (4m resolution): five-band image containing the panchromatic and multispectral products packaged together, with band co-registration. The available processing level is L1C orthorectified: a calibrated and radiometrically corrected product, manually orthorectified and resampled to a map grid. Product Type HRA_PM4_1C , HRA_PSH_1C Processing Level and Spatial Resolution \tL1B (native)\tL1C (ortho) Pan-sharpened\t1.0m\t1.0m Bundle (PAN+MS)\t1.0m (P), 4.0m (MS)\t1.0m (P), 4.0m(MS) Details",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/GEOSAT-2.Portugal.Coverage_7.0",
+ "description": "Description GEOSAT-2 Portugal coverage is a collection of a 2021`s data over the Portugal area, including islands. The available dataset hasve a cloud cover less thaen 10%, and is acquired up to 1m resolution with Geometric accuracy <6m CE90 based on Copernicus DEM @10m. in tThe following acquisition modesproduct types are available: \u2022\tPan-sharpened (4 bands, 321 Natural Colours or 432 False Colours): A four-band image, resulting from adding the information of each multispectral band to the panchromatic band. The fusion does not prereserves all spectral features of the multispectral bands, so it should not be used for radiometric purposes. Resolution 1m; Bands: All, R-G-B or Ni-R-G \u2022\tBundle: Panchromatic (1m resolution) + Multispectral bands (4m resolution): five-band image containing the panchromatic and multispectral products packaged together, with band co-registration. The available processing level is L1C orthorectified: a calibrated and radiometrically corrected product, manually orthorectified and resampled to a map grid. Product Type HRA_PM4_1C , HRA_PSH_1C Processing Level and Spatial Resolution \tL1B (native)\tL1C (ortho) Pan-sharpened\t1.0m\t1.0m Bundle (PAN+MS)\t1.0m (P), 4.0m (MS)\t1.0m (P), 4.0m(MS) Details",
+ "license": "proprietary"
+ },
+ {
+ "id": "GEOSAT2SpainCoverage10_11.0",
+ "title": "GEOSAT-2 Spain Coverage",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "2021-03-01",
+ "end_date": "2021-11-15",
+ "bbox": "-19, 26, 6, 45",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394698-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394698-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/GEOSAT2SpainCoverage10_11.0",
+ "description": "The GEOSAT-2 Spain Coverage collection consists of two separate coverages of Spain, including the Balearic and Canary islands, acquired by GEOSAT-2 between March and November of 2021 and 2022, respectively. The available imagery have a geolocation accuracy of < 4 m RMSE, a cloud cover percentage of < 10 %, and were acquired at an off-nadir angle from -30\u00b0 to 30\u00b0. Spatial coverage of the 2021 collection. The following product types are available: \t\u2022 Pan-sharpened: A four-band image, resulting from adding the information of each multispectral band to the panchromatic band. The fusion does not preserves all spectral features of the multispectral bands, so it should not be used for radiometric purposes. Resolution 1 m; Bands: All. \t\u2022 Bundle: Panchromatic (1 m resolution) + Multispectral bands (4 m resolution): five-band image containing the panchromatic and multispectral products packaged together, with band co-registration. The available processing level is L1C orthorectified: a calibrated and radiometrically corrected product, manually orthorectified and resampled to a map grid. Product Type\t\tSpatial Resolution Pan-sharpened\t\t1.0 m Bundle (PAN + MS)\t1.0 m (PAN), 4.0 m (MS)",
"license": "proprietary"
},
{
@@ -80106,7 +80158,7 @@
"license": "proprietary"
},
{
- "id": "GHGSat.archive.and.tasking_NA",
+ "id": "GHGSat.archive.and.tasking_7.0",
"title": "GHGSat archive and tasking",
"catalog": "ESA STAC Catalog",
"state_date": "2020-09-02",
@@ -80114,8 +80166,8 @@
"bbox": "-180, -86.3, 180, 86.3",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689583-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689583-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/GHGSat.archive.and.tasking_NA",
- "description": "The GHGSat-C1 and GHGSat-C2 satellites capture with very high spatial and spectral resolution the greenhouse gas emissions and measures the vertical column densities of atmospheric gases through its hyperspectral imaging spectrometer operating in a narrow band of the short-wave infrared (SWIR) region of the electromagnetic spectrum. Both archive and new tasking data can be requested, based on a single observation of the scene, as well as the full year product which is the average annual emission rate based on as many observations as can be successfully collected. Following products are made available \u2022 Abundance dataset (Level 2): Set of per-pixel abundances (ppb or mol/m2) for a single species, and per-pixel measurement error expressed as a standard deviation for a single site on a single satellite pass. Data format is GeoTIFF (16-bit) or optionally GeoTIFF (32-bit or 64-bit floating point) \u2022 Concentration Maps (Level 2): High readability pseudocolour map combining surface reflectance, and column density expressed in ppb or mol/m2 for a single species in PNG (optional PDF) format. The relevant abundance dataset is provided as well. \u2022 Emission Rates (Level 4): Instantaneous emission rate from targeted source estimated using abundance datasets from a single satellite pass and applying dispersion modelling techniques in PDF format. The delivered product includes the emission rate estimate with uncertainty and key dispersion parameters (in CSV format) as well as the abundance dataset used for the emission estimate. The properties of available products are summarized in the table Table Details about the data provision, data access conditions and quota assignment procedure are described in the GHGSat Terms of Applicability (https://earth.esa.int/eogateway/documents/20142/37627/GHGSat-Terms-of-Applicability.pdf).",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/GHGSat.archive.and.tasking_7.0",
+ "description": "GHGSat data produce measures of vertical column densities of greenhouse gas emissions (currently CH4, but eventually CO2), provided on a pre-defined area of 12 km x 12 km, from the full sensor field-of-view. GHGSat Catalogue and New Collect data are available in three different data types: \u2022\tSingle Observation: a single observation of a scene. \u2022\tMonthly Monitoring: guaranteed 12 successful observations in a year over a given site (once per month or flexible best effort cadence depending on weather). \u2022\tWeekly Monitoring: guaranteed 52 successful observations in a year over a given site (once a week or flexible best effort cadence based on weather), to accommodate large & persistent monitoring needs. Data are provided as an Emissions package containing the following products: \u2022\tAbundance dataset (Level 2): Set of per-pixel abundances in excess of the local background (ppb) for a single species, and per-pixel measurement error expressed as a standard deviation for a single site on a single satellite pass. Data format is 16-bit GeoTIFF. \u2022\tConcentration Maps (Level 2): High readability pseudocolour map combining surface reflectance, and column density expressed in ppb for a single species in PNG format. The relevant abundance dataset is provided as well. \u2022\tEmission Rates (Level 4): Instantaneous rate for a detected emission from a targeted source estimated using abundance datasets from a single satellite pass and applying dispersion modelling techniques. The delivered product includes the emission rate estimate with uncertainty and key dispersion parameters (in CSV format) as well as the abundance dataset used for the emission estimate. This product is only delivered in the Emissions package if an emission is detected within the abundance dataset. The Level 2 products will be delivered regardless of whether or not an emission is detected. The properties of the available products are summarised in the following table: Band(s) / Beam Mode(s) and Polarisation\tSWIR\t(1635-1675 nm), multiple bands, unpolarised Spatial Resolution\t<30 m Scene Size\t12 km x 12 km Species Measured\tCH4 Geometric Corrections\tRadial distortion, perspective projection Radiometric Corrections\tDetector pixel response, ghosting, spectral response, atmospheric correction including trace gas modelling and surface reflectance Details about the data provision, data access conditions and quota assignment procedure are described in the GHGSat _$$Terms of Applicability$$ https://earth.esa.int/eogateway/documents/20142/37627/GHGSat-Terms-of-Applicability.pdf .",
"license": "proprietary"
},
{
@@ -80212,52 +80264,52 @@
{
"id": "GLAH02_033",
"title": "GLAS/ICESat L1A Global Atmosphere Data (HDF5) V033",
- "catalog": "NSIDC_ECS STAC Catalog",
+ "catalog": "NSIDC_CPRD STAC Catalog",
"state_date": "2003-02-20",
"end_date": "2009-10-11",
"bbox": "-180, -86, 180, 86",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C189991862-NSIDC_ECS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C189991862-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/GLAH02_033",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153547430-NSIDC_CPRD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153547430-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/GLAH02_033",
"description": "GLAH02 Level-1A atmospheric data include the normalized relative backscatter for the 532 nm and 1064 nm channels, and low-level instrument corrections such as laser energy (1064 nm and 532 nm), photon coincidence (532 nm), and detector gain correction (1064 nm). Each data granule has an associated browse product.",
"license": "proprietary"
},
{
"id": "GLAH02_033",
"title": "GLAS/ICESat L1A Global Atmosphere Data (HDF5) V033",
- "catalog": "NSIDC_CPRD STAC Catalog",
+ "catalog": "NSIDC_ECS STAC Catalog",
"state_date": "2003-02-20",
"end_date": "2009-10-11",
"bbox": "-180, -86, 180, 86",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153547430-NSIDC_CPRD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153547430-NSIDC_CPRD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/GLAH02_033",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C189991862-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C189991862-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/GLAH02_033",
"description": "GLAH02 Level-1A atmospheric data include the normalized relative backscatter for the 532 nm and 1064 nm channels, and low-level instrument corrections such as laser energy (1064 nm and 532 nm), photon coincidence (532 nm), and detector gain correction (1064 nm). Each data granule has an associated browse product.",
"license": "proprietary"
},
{
"id": "GLAH03_033",
"title": "GLAS/ICESat L1A Global Engineering Data (HDF5) V033",
- "catalog": "NSIDC_ECS STAC Catalog",
+ "catalog": "NSIDC_CPRD STAC Catalog",
"state_date": "2003-02-20",
"end_date": "2009-10-11",
"bbox": "-180, -86, 180, 86",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C189991863-NSIDC_ECS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C189991863-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/GLAH03_033",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153547514-NSIDC_CPRD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153547514-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/GLAH03_033",
"description": "Level-1A global engineering data (GLAH03) include satellite housekeeping data used to calibrate data values for GLA01 and GLA02.",
"license": "proprietary"
},
{
"id": "GLAH03_033",
"title": "GLAS/ICESat L1A Global Engineering Data (HDF5) V033",
- "catalog": "NSIDC_CPRD STAC Catalog",
+ "catalog": "NSIDC_ECS STAC Catalog",
"state_date": "2003-02-20",
"end_date": "2009-10-11",
"bbox": "-180, -86, 180, 86",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153547514-NSIDC_CPRD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153547514-NSIDC_CPRD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/GLAH03_033",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C189991863-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C189991863-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/GLAH03_033",
"description": "Level-1A global engineering data (GLAH03) include satellite housekeeping data used to calibrate data values for GLA01 and GLA02.",
"license": "proprietary"
},
@@ -80290,78 +80342,78 @@
{
"id": "GLAH05_034",
"title": "GLAS/ICESat L1B Global Waveform-based Range Corrections Data (HDF5) V034",
- "catalog": "NSIDC_ECS STAC Catalog",
+ "catalog": "NSIDC_CPRD STAC Catalog",
"state_date": "2003-02-20",
"end_date": "2009-10-11",
"bbox": "-180, -86, 180, 86",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000460-NSIDC_ECS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000460-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/GLAH05_034",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549166-NSIDC_CPRD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549166-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/GLAH05_034",
"description": "GLAH05 Level-1B waveform parameterization data include output parameters from the waveform characterization procedure and other parameters required to calculate surface slope and relief characteristics. GLAH05 contains parameterizations of both the transmitted and received pulses and other characteristics from which elevation and footprint-scale roughness and slope are calculated. The received pulse characterization uses two implementations of the retracking algorithms: one tuned for ice sheets, called the standard parameterization, used to calculate surface elevation for ice sheets, oceans, and sea ice; and another for land (the alternative parameterization). Each data granule has an associated browse product.",
"license": "proprietary"
},
{
"id": "GLAH05_034",
"title": "GLAS/ICESat L1B Global Waveform-based Range Corrections Data (HDF5) V034",
- "catalog": "NSIDC_CPRD STAC Catalog",
+ "catalog": "NSIDC_ECS STAC Catalog",
"state_date": "2003-02-20",
"end_date": "2009-10-11",
"bbox": "-180, -86, 180, 86",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549166-NSIDC_CPRD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549166-NSIDC_CPRD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/GLAH05_034",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000460-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000460-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/GLAH05_034",
"description": "GLAH05 Level-1B waveform parameterization data include output parameters from the waveform characterization procedure and other parameters required to calculate surface slope and relief characteristics. GLAH05 contains parameterizations of both the transmitted and received pulses and other characteristics from which elevation and footprint-scale roughness and slope are calculated. The received pulse characterization uses two implementations of the retracking algorithms: one tuned for ice sheets, called the standard parameterization, used to calculate surface elevation for ice sheets, oceans, and sea ice; and another for land (the alternative parameterization). Each data granule has an associated browse product.",
"license": "proprietary"
},
{
"id": "GLAH06_034",
"title": "GLAS/ICESat L1B Global Elevation Data (HDF5) V034",
- "catalog": "NSIDC_ECS STAC Catalog",
+ "catalog": "NSIDC_CPRD STAC Catalog",
"state_date": "2003-02-20",
"end_date": "2009-10-11",
"bbox": "-180, -86, 180, 86",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000445-NSIDC_ECS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000445-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/GLAH06_034",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2033638023-NSIDC_CPRD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2033638023-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/GLAH06_034",
"description": "GLAH06 Level-1B Global Elevation is a product that is analogous to the geodetic data records distributed for radar altimetry missions. It contains elevations previously corrected for tides, atmospheric delays, and surface characteristics within the footprint. Elevation is calculated using the ice sheet parameterization. Additional information allows the user to calculate an elevation based on land, sea ice, or ocean algorithms. Each data granule has an associated browse product.",
"license": "proprietary"
},
{
"id": "GLAH06_034",
"title": "GLAS/ICESat L1B Global Elevation Data (HDF5) V034",
- "catalog": "NSIDC_CPRD STAC Catalog",
+ "catalog": "NSIDC_ECS STAC Catalog",
"state_date": "2003-02-20",
"end_date": "2009-10-11",
"bbox": "-180, -86, 180, 86",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2033638023-NSIDC_CPRD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2033638023-NSIDC_CPRD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/GLAH06_034",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000445-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000445-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/GLAH06_034",
"description": "GLAH06 Level-1B Global Elevation is a product that is analogous to the geodetic data records distributed for radar altimetry missions. It contains elevations previously corrected for tides, atmospheric delays, and surface characteristics within the footprint. Elevation is calculated using the ice sheet parameterization. Additional information allows the user to calculate an elevation based on land, sea ice, or ocean algorithms. Each data granule has an associated browse product.",
"license": "proprietary"
},
{
"id": "GLAH07_033",
"title": "GLAS/ICESat L1B Global Backscatter Data (HDF5) V033",
- "catalog": "NSIDC_CPRD STAC Catalog",
+ "catalog": "NSIDC_ECS STAC Catalog",
"state_date": "2003-02-20",
"end_date": "2009-10-11",
"bbox": "-180, -86, 180, 86",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549420-NSIDC_CPRD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549420-NSIDC_CPRD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/GLAH07_033",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C189991867-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C189991867-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/GLAH07_033",
"description": "GLAH07 Level-1B global backscatter data are provided at full instrument resolution. The product includes full 532 nm (41.1 to -1.0 km) and 1064 nm (20 to -1 km) calibrated attenuated backscatter profiles at 5 times per second, and from 10 to -1 km, at 40 times per second for both channels. Also included are calibration coefficient values and molecular backscatter profiles at once per second. Data granules contain approximately 190 minutes (2 orbits) of data. Each data granule has an associated browse product.",
"license": "proprietary"
},
{
"id": "GLAH07_033",
"title": "GLAS/ICESat L1B Global Backscatter Data (HDF5) V033",
- "catalog": "NSIDC_ECS STAC Catalog",
+ "catalog": "NSIDC_CPRD STAC Catalog",
"state_date": "2003-02-20",
"end_date": "2009-10-11",
"bbox": "-180, -86, 180, 86",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C189991867-NSIDC_ECS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C189991867-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/GLAH07_033",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549420-NSIDC_CPRD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549420-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/GLAH07_033",
"description": "GLAH07 Level-1B global backscatter data are provided at full instrument resolution. The product includes full 532 nm (41.1 to -1.0 km) and 1064 nm (20 to -1 km) calibrated attenuated backscatter profiles at 5 times per second, and from 10 to -1 km, at 40 times per second for both channels. Also included are calibration coefficient values and molecular backscatter profiles at once per second. Data granules contain approximately 190 minutes (2 orbits) of data. Each data granule has an associated browse product.",
"license": "proprietary"
},
@@ -80394,52 +80446,52 @@
{
"id": "GLAH09_033",
"title": "GLAS/ICESat L2 Global Cloud Heights for Multi-layer Clouds (HDF5) V033",
- "catalog": "NSIDC_ECS STAC Catalog",
+ "catalog": "NSIDC_CPRD STAC Catalog",
"state_date": "2003-02-20",
"end_date": "2009-10-11",
"bbox": "-180, -86, 180, 86",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C189991869-NSIDC_ECS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C189991869-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/GLAH09_033",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549579-NSIDC_CPRD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549579-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/GLAH09_033",
"description": "GLAH09 Level-2 cloud heights for multi-layer clouds contain cloud layer top and bottom height data at sampling rates of 4 sec, 1 sec, 5 Hz, and 40 Hz. Each data granule has an associated browse product.",
"license": "proprietary"
},
{
"id": "GLAH09_033",
"title": "GLAS/ICESat L2 Global Cloud Heights for Multi-layer Clouds (HDF5) V033",
- "catalog": "NSIDC_CPRD STAC Catalog",
+ "catalog": "NSIDC_ECS STAC Catalog",
"state_date": "2003-02-20",
"end_date": "2009-10-11",
"bbox": "-180, -86, 180, 86",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549579-NSIDC_CPRD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549579-NSIDC_CPRD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/GLAH09_033",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C189991869-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C189991869-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/GLAH09_033",
"description": "GLAH09 Level-2 cloud heights for multi-layer clouds contain cloud layer top and bottom height data at sampling rates of 4 sec, 1 sec, 5 Hz, and 40 Hz. Each data granule has an associated browse product.",
"license": "proprietary"
},
{
"id": "GLAH10_033",
"title": "GLAS/ICESat L2 Global Aerosol Vertical Structure Data (HDF5) V033",
- "catalog": "NSIDC_ECS STAC Catalog",
+ "catalog": "NSIDC_CPRD STAC Catalog",
"state_date": "2003-09-25",
"end_date": "2009-10-11",
"bbox": "-180, -86, 180, 86",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C189991870-NSIDC_ECS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C189991870-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/GLAH10_033",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549654-NSIDC_CPRD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549654-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/GLAH10_033",
"description": "GLAH10 Level-2 aerosol vertical structure data contain the attenuation-corrected cloud and aerosol backscatter and extinction profiles at a 4 sec sampling rate for aerosols and a 1 sec rate for clouds. Each data granule has an associated browse product.",
"license": "proprietary"
},
{
"id": "GLAH10_033",
"title": "GLAS/ICESat L2 Global Aerosol Vertical Structure Data (HDF5) V033",
- "catalog": "NSIDC_CPRD STAC Catalog",
+ "catalog": "NSIDC_ECS STAC Catalog",
"state_date": "2003-09-25",
"end_date": "2009-10-11",
"bbox": "-180, -86, 180, 86",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549654-NSIDC_CPRD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549654-NSIDC_CPRD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/GLAH10_033",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C189991870-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C189991870-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/GLAH10_033",
"description": "GLAH10 Level-2 aerosol vertical structure data contain the attenuation-corrected cloud and aerosol backscatter and extinction profiles at a 4 sec sampling rate for aerosols and a 1 sec rate for clouds. Each data granule has an associated browse product.",
"license": "proprietary"
},
@@ -80472,52 +80524,52 @@
{
"id": "GLAH12_034",
"title": "GLAS/ICESat L2 Global Antarctic and Greenland Ice Sheet Altimetry Data (HDF5) V034",
- "catalog": "NSIDC_ECS STAC Catalog",
+ "catalog": "NSIDC_CPRD STAC Catalog",
"state_date": "2003-02-20",
"end_date": "2009-10-11",
"bbox": "-180, -86, 180, 86",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000461-NSIDC_ECS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000461-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/GLAH12_034",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549818-NSIDC_CPRD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549818-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/GLAH12_034",
"description": "GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (\u00b1 50\u00b0 latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product. Each data granule has an associated browse product.",
"license": "proprietary"
},
{
"id": "GLAH12_034",
"title": "GLAS/ICESat L2 Global Antarctic and Greenland Ice Sheet Altimetry Data (HDF5) V034",
- "catalog": "NSIDC_CPRD STAC Catalog",
+ "catalog": "NSIDC_ECS STAC Catalog",
"state_date": "2003-02-20",
"end_date": "2009-10-11",
"bbox": "-180, -86, 180, 86",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549818-NSIDC_CPRD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549818-NSIDC_CPRD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/GLAH12_034",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000461-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000461-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/GLAH12_034",
"description": "GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (\u00b1 50\u00b0 latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product. Each data granule has an associated browse product.",
"license": "proprietary"
},
{
"id": "GLAH13_034",
"title": "GLAS/ICESat L2 Sea Ice Altimetry Data (HDF5) V034",
- "catalog": "NSIDC_ECS STAC Catalog",
+ "catalog": "NSIDC_CPRD STAC Catalog",
"state_date": "2003-02-20",
"end_date": "2009-10-11",
"bbox": "-180, -86, 180, 86",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000464-NSIDC_ECS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000464-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/GLAH13_034",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549910-NSIDC_CPRD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549910-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/GLAH13_034",
"description": "GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (\u00b1 50\u00b0 latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product. Each data granule has an associated browse product.",
"license": "proprietary"
},
{
"id": "GLAH13_034",
"title": "GLAS/ICESat L2 Sea Ice Altimetry Data (HDF5) V034",
- "catalog": "NSIDC_CPRD STAC Catalog",
+ "catalog": "NSIDC_ECS STAC Catalog",
"state_date": "2003-02-20",
"end_date": "2009-10-11",
"bbox": "-180, -86, 180, 86",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549910-NSIDC_CPRD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549910-NSIDC_CPRD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/GLAH13_034",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000464-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000464-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/GLAH13_034",
"description": "GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (\u00b1 50\u00b0 latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product. Each data granule has an associated browse product.",
"license": "proprietary"
},
@@ -80550,26 +80602,26 @@
{
"id": "GLAH15_034",
"title": "GLAS/ICESat L2 Ocean Altimetry Data (HDF5) V034",
- "catalog": "NSIDC_ECS STAC Catalog",
+ "catalog": "NSIDC_CPRD STAC Catalog",
"state_date": "2003-02-20",
"end_date": "2009-10-11",
"bbox": "-180, -86, 180, 86",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000420-NSIDC_ECS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000420-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/GLAH15_034",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153552369-NSIDC_CPRD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153552369-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/GLAH15_034",
"description": "GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (\u00b1 50\u00b0 latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product. Each data granule has an associated browse product.",
"license": "proprietary"
},
{
"id": "GLAH15_034",
"title": "GLAS/ICESat L2 Ocean Altimetry Data (HDF5) V034",
- "catalog": "NSIDC_CPRD STAC Catalog",
+ "catalog": "NSIDC_ECS STAC Catalog",
"state_date": "2003-02-20",
"end_date": "2009-10-11",
"bbox": "-180, -86, 180, 86",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153552369-NSIDC_CPRD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153552369-NSIDC_CPRD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/GLAH15_034",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000420-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000420-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/GLAH15_034",
"description": "GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (\u00b1 50\u00b0 latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product. Each data granule has an associated browse product.",
"license": "proprietary"
},
@@ -81497,7 +81549,7 @@
"license": "proprietary"
},
{
- "id": "GOCE_Global_Gravity_Field_Models_and_Grids_NA",
+ "id": "GOCE_Global_Gravity_Field_Models_and_Grids_6.0",
"title": "GOCE Global Gravity Field Models and Grids",
"catalog": "ESA STAC Catalog",
"state_date": "2009-09-01",
@@ -81505,12 +81557,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336903-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336903-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/GOCE_Global_Gravity_Field_Models_and_Grids_NA",
- "description": "This collection contains gravity gradient and gravity anomalies grids at ground level, at satellite height. In addition it contains the GOCE gravity field models (EGM_GOC_2,EGM_GCF_2) and their covariance matrices (EGM_GVC_2): Gridded Gravity gradients and anomalies at ground level: GO_CONS_GRC_SPW_2__20091101T000000_20111231T235959_0001.TGZ GO_CONS_GRC_SPW_2__20091101T055147_20120731T222822_0001.TGZ GO_CONS_GRC_SPW_2__20091101T055226_20131020T033415_0002.TGZ GO_CONS_GRC_SPW_2__20091009T000000_20131021T000000_0201.TGZ Latest baseline is: GO_CONS_GRC_SPW_2__20091009T000000_20131021T000000_0201.TGZ Gridded Gravity gradients and anomalies at satellite height: GO_CONS_GRD_SPW_2__20091101T055147_20100630T180254_0001.TGZ GO_CONS_GRD_SPW_2__20091101T055147_20120731T222822_0001.TGZ GO_CONS_GRD_SPW_2__20091101T055226_20131020T033415_0002.TGZ GO_CONS_GRD_SPW_2__20091009T000000_20131021T000000_0201.TGZ Latest baseline is: GO_CONS_GRD_SPW_2__20091009T000000_20131021T000000_0201.TGZ As output from the ESA-funded GOCE+ GeoExplore project, GOCE gravity gradients were combined with heterogeneous other satellite gravity information to derive a combined set of gravity gradients complementing (near)-surface data sets spanning all together scales from global down to 5 km. The data is useful for various geophysical applications and demonstrate their utility to complement additional data sources (e.g., magnetic, seismic) to enhance geophysical modelling and exploration. The GOCE+ GeoExplore project is funded by ESA through the Support To Science Element (STSE) and was undertaken as a collaboration of the Deutsches Geod\u00e4tisches Forschungsinstitut (DGFI), Munich, DE, the Christian-Albrechts-Universit\u00e4t zu Kiel, the Geological Survey of Norway (NGU), Trondheim, Norway, TNO, the Netherlands and the University of West Bohemia, Plzen, CZ. Read more about gravity gradients and how GOCE delivered them in this Nature article: Satellite gravity gradient grids for geophysics (https://www.nature.com/articles/srep21050) View images of the GOCE original gravity gradients and gradients with topographic reduction grids (https://earth.esa.int/eogateway/missions/goce/data/goce-gravity-gradients-grids-map). Available Data GRIDS File Type: GGG_225 Gridded data - full Gravity Gradients, at 225 km and 255 km with and without topographic correction: Computed from GOCE/GRACE gradients lower orbit phase February 2010 - October 2013 File Type: GGG_255 Gridded data - full Gravity Gradients, at 225 km and 255 km with and without topographic correction: Computed from GOCE/GRACE gradients nominal orbit phase February 2010 - October 2013 File Type: TGG_255 Gridded data - full Gravity Gradients, at 225 km and 255 km with and without topographic correction: Gravity gradient grids from topography at fixed height of 225/255 km above ellipsoid given in LNOF (Local North Oriented Frame) File Type: TGG_225 Gridded data - full Gravity Gradients, at 225 km and 255 km with and without topographic correction: File Type: TGG_225 Gridded data - full Gravity Gradients, at 225 km and 255 km with and without topographic correction: Gravity gradient grids from topography at fixed height of 225/255 km above ellipsoid given in LNOF (Local North Oriented Frame) MAPS File Type: Vij_225km_Patch_n.jpg Maps of Gravity Gradients with and without topographic corrections: Maps of grids from lower orbit phase with topographic correction from ETOPO1 File Type: Vij_225km_Patch_n.jpg Maps of Gravity Gradients with and without topographic corrections: Maps of the original grids from lower orbit phase without topographic correction ALONG-ORBIT File Type: GGC_GRF Full Gravity Gradients, along-orbit, in GRF and TRF reference frames. A detailed description is provided in the data set user manual: Combined gradients from GRACE (long wavelengths) & GOCE (measurement band) in the GRF (Gradiometer Reference Frame) File Type: GGC_TRF Full Gravity Gradients, along-orbit, in GRF and TRF reference frames. A detailed description is provided in the data set user manual: Combined gradients from GRACE (long wavelengths) & GOCE (measurement band) rotated from GRF to TRF (Terrestrial Reference Frame: North, West, Up) Direct Solution First Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20100110T235959_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20100110T235959_0002.TGZ Second Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20100630T235959_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20100630T235959_0001.TGZ Third Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20110419T235959_0001.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20110419T235959_0001.TGZ Coefficients (ICGEM format): GO_CONS_EGM_GCF_2__20091101T000000_20110419T235959_0001.IDF (http://icgem.gfz-potsdam.de/tom_longtime) Fourth Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20120801T060000_0001.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20120801T060000_0002.TGZ Fifth Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20131020T235959_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20131020T235959_0001.TGZ Coefficients (ICGEM format): GO_CONS_EGM_GOC_2__20091101T000000_20131020T235959_0001.IDF (http://icgem.gfz-potsdam.de/tom_longtime) Sixth Generation Product: GO_CONS_EGM_GOC_2__20091009T000000_20131020T235959_0201.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091009T000000_20131020T235959_0201.TGZ Coefficients (ICGEM format): GO_CONS_EGM_GOC_2__20091009T000000_20131020T235959_0201.IDF (http://icgem.gfz-potsdam.de/tom_longtime) Release 6 gravity model validation report (https://earth.esa.int/eogateway/documents/20142/37627/Release-6-gravity-model-validation-report-GO-TN-HPF-GS-0337-1.0.pdf) GO-TN-HPF-GS-0337_1.0 - Rel6_Validation_Report.pdf Time-Wise solution First Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20100111T000000_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20100111T000000_0002.TGZ Second Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20100705T235500_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20100705T235500_0001.TGZ Third Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20110430T235959_0001.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20110430T235959_0001.TGZ Coefficients (ICGEM format): GO_CONS_EGM_GCF_2__20091101T000000_20110430T235959_0001.IDF (http://icgem.gfz-potsdam.de/tom_longtime) Fourth Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20120618T235959_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20120618T235959_0001.TGZ Fifth Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20131021T000000_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20131021T000000_0001.TGZ Coefficients (ICGEM format): GO_CONS_EGM_GOC_2__20091101T000000_20131021T000000_0001.IDF (http://icgem.gfz-potsdam.de/tom_longtime) Sixth Generation Product: GO_CONS_EGM_GOC_2__20091009T000000_20131021T000000_0201.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091009T000000_20131021T000000_0202.TGZ Coefficients (ICGEM format): GO_CONS_EGM_GOC_2__20091009T000000_20131021T000000_0201.IDF (http://icgem.gfz-potsdam.de/tom_longtime) Combined gravity field GOCE model plus Antarctic and Arctic data (ICGEM format): GO_CONS_EGM_GOC_2__20091009T000000_20160119T235959_0201.IDF (http://icgem.gfz-potsdam.de/tom_longtime) Release 6 gravity model validation report (https://earth.esa.int/eogateway/documents/20142/37627/Release-6-gravity-model-validation-report-GO-TN-HPF-GS-0337-1.0.pdf) GO-TN-HPF-GS-0337_1.0 - Rel6_Validation_Report.pdf",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/GOCE_Global_Gravity_Field_Models_and_Grids_6.0",
+ "description": "This collection contains gravity gradient and gravity anomalies grids at ground level, at satellite height. In addition it contains the GOCE gravity field models (EGM_GOC_2,EGM_GCF_2) and their covariance matrices (EGM_GVC_2): Gridded Gravity gradients and anomalies at ground level: GO_CONS_GRC_SPW_2__20091101T000000_20111231T235959_0001.TGZ GO_CONS_GRC_SPW_2__20091101T055147_20120731T222822_0001.TGZ GO_CONS_GRC_SPW_2__20091101T055226_20131020T033415_0002.TGZ GO_CONS_GRC_SPW_2__20091009T000000_20131021T000000_0201.TGZ Latest baseline is: GO_CONS_GRC_SPW_2__20091009T000000_20131021T000000_0201.TGZ Gridded Gravity gradients and anomalies at satellite height: GO_CONS_GRD_SPW_2__20091101T055147_20100630T180254_0001.TGZ GO_CONS_GRD_SPW_2__20091101T055147_20120731T222822_0001.TGZ GO_CONS_GRD_SPW_2__20091101T055226_20131020T033415_0002.TGZ GO_CONS_GRD_SPW_2__20091009T000000_20131021T000000_0201.TGZ Latest baseline is: GO_CONS_GRD_SPW_2__20091009T000000_20131021T000000_0201.TGZ As output from the ESA-funded GOCE+ GeoExplore project, GOCE gravity gradients were combined with heterogeneous other satellite gravity information to derive a combined set of gravity gradients complementing (near)-surface data sets spanning all together scales from global down to 5 km. The data is useful for various geophysical applications and demonstrate their utility to complement additional data sources (e.g., magnetic, seismic) to enhance geophysical modelling and exploration. The GOCE+ GeoExplore project is funded by ESA through the Support To Science Element (STSE) and was undertaken as a collaboration of the Deutsches Geod\u00e4tisches Forschungsinstitut (DGFI), Munich, DE, the Christian-Albrechts-Universit\u00e4t zu Kiel, the Geological Survey of Norway (NGU), Trondheim, Norway, TNO, the Netherlands and the University of West Bohemia, Plzen, CZ. Read more about gravity gradients and how GOCE delivered them in this Nature article: Satellite gravity gradient grids for geophysics (https://www.nature.com/articles/srep21050) View images of the GOCE original gravity gradients and gradients with topographic reduction grids (https://earth.esa.int/eogateway/missions/goce/data/goce-gravity-gradients-grids-map). Available Data GRIDS File Type: GGG_225 Gridded data - full Gravity Gradients, at 225 km and 255 km with and without topographic correction: Computed from GOCE/GRACE gradients lower orbit phase February 2010 - October 2013 File Type: GGG_255 Gridded data - full Gravity Gradients, at 225 km and 255 km with and without topographic correction: Computed from GOCE/GRACE gradients nominal orbit phase February 2010 - October 2013 File Type: TGG_255 Gridded data - full Gravity Gradients, at 225 km and 255 km with and without topographic correction: Gravity gradient grids from topography at fixed height of 225/255 km above ellipsoid given in LNOF (Local North Oriented Frame) File Type: TGG_225 Gridded data - full Gravity Gradients, at 225 km and 255 km with and without topographic correction: File Type: TGG_225 Gridded data - full Gravity Gradients, at 225 km and 255 km with and without topographic correction: Gravity gradient grids from topography at fixed height of 225/255 km above ellipsoid given in LNOF (Local North Oriented Frame) MAPS File Type: Vij_225km_Patch_n.jpg Maps of Gravity Gradients with and without topographic corrections: Maps of grids from lower orbit phase with topographic correction from ETOPO1 File Type: Vij_225km_Patch_n.jpg Maps of Gravity Gradients with and without topographic corrections: Maps of the original grids from lower orbit phase without topographic correction ALONG-ORBIT File Type: GGC_GRF Full Gravity Gradients, along-orbit, in GRF and TRF reference frames. A detailed description is provided in the data set user manual: Combined gradients from GRACE (long wavelengths) & GOCE (measurement band) in the GRF (Gradiometer Reference Frame) File Type: GGC_TRF Full Gravity Gradients, along-orbit, in GRF and TRF reference frames. A detailed description is provided in the data set user manual: Combined gradients from GRACE (long wavelengths) & GOCE (measurement band) rotated from GRF to TRF (Terrestrial Reference Frame: North, West, Up) Direct Solution First Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20100110T235959_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20100110T235959_0002.TGZ Second Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20100630T235959_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20100630T235959_0001.TGZ Third Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20110419T235959_0001.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20110419T235959_0001.TGZ Coefficients (ICGEM format): GO_CONS_EGM_GCF_2__20091101T000000_20110419T235959_0001.IDF (http://icgem.gfz-potsdam.de/tom_longtime) Fourth Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20120801T060000_0001.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20120801T060000_0002.TGZ Fifth Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20131020T235959_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20131020T235959_0001.TGZ Coefficients (ICGEM format): GO_CONS_EGM_GOC_2__20091101T000000_20131020T235959_0001.IDF (http://icgem.gfz-potsdam.de/tom_longtime) Sixth Generation Product: GO_CONS_EGM_GOC_2__20091009T000000_20131020T235959_0201.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091009T000000_20131020T235959_0201.TGZ Coefficients (ICGEM format): GO_CONS_EGM_GOC_2__20091009T000000_20131020T235959_0201.IDF (http://icgem.gfz-potsdam.de/tom_longtime) Release 6 gravity model validation report (https://earth.esa.int/eogateway/documents/20142/37627/Release-6-gravity-model-validation-report-GO-TN-HPF-GS-0337-1.0.pdf) GO-TN-HPF-GS-0337_1.0 - Rel6_Validation_Report.pdf Time-Wise solution First Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20100111T000000_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20100111T000000_0002.TGZ Second Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20100705T235500_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20100705T235500_0001.TGZ Third Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20110430T235959_0001.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20110430T235959_0001.TGZ Coefficients (ICGEM format): GO_CONS_EGM_GCF_2__20091101T000000_20110430T235959_0001.IDF (http://icgem.gfz-potsdam.de/tom_longtime) Fourth Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20120618T235959_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20120618T235959_0001.TGZ Fifth Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20131021T000000_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20131021T000000_0001.TGZ Coefficients (ICGEM format): GO_CONS_EGM_GOC_2__20091101T000000_20131021T000000_0001.IDF (http://icgem.gfz-potsdam.de/tom_longtime) Sixth Generation Product: GO_CONS_EGM_GOC_2__20091009T000000_20131021T000000_0201.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091009T000000_20131021T000000_0202.TGZ Coefficients (ICGEM format): GO_CONS_EGM_GOC_2__20091009T000000_20131021T000000_0201.IDF (http://icgem.gfz-potsdam.de/tom_longtime) Combined gravity field GOCE model plus Antarctic and Arctic data (ICGEM format): GO_CONS_EGM_GOC_2__20091009T000000_20160119T235959_0201.IDF (http://icgem.gfz-potsdam.de/tom_longtime) Release 6 gravity model validation report (https://earth.esa.int/eogateway/documents/20142/37627/Release-6-gravity-model-validation-report-GO-TN-HPF-GS-0337-1.0.pdf) GO-TN-HPF-GS-0337_1.0 - Rel6_Validation_Report.pdf",
"license": "proprietary"
},
{
- "id": "GOCE_Level_1_NA",
+ "id": "GOCE_Level_1_6.0",
"title": "GOCE Level 1",
"catalog": "ESA STAC Catalog",
"state_date": "2009-09-01",
@@ -81518,12 +81570,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336905-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336905-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/GOCE_Level_1_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/GOCE_Level_1_6.0",
"description": "This collection contains the GOCE L1b data of the gradiometer, the star trackers, the GPS receiver, the magnetometers, magnetotorquers and the DFACS data of each accelerometer of the gradiometer. EGG_NOM_1b: latest baseline _0202 SST_NOM_1b: latest baseline _000x (always take the highest number available) ACC_DFx_1b: latest baseline _0001 (x=1:6) MGM_GOx_1b: latest baseline _0001 (x=1:3) MTR_GOC_1b: latest baseline _0001 SST_RIN_1b: latest baseline _000x (always take the highest number available) STR_VC2_1b: latest baseline _000x (always take the highest number available) STR_VC3_1b:latest baseline _000x (always take the highest number available)",
"license": "proprietary"
},
{
- "id": "GOCE_Level_2_NA",
+ "id": "GOCE_Level_2_6.0",
"title": "GOCE Level 2",
"catalog": "ESA STAC Catalog",
"state_date": "2009-09-01",
@@ -81531,12 +81583,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336906-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336906-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/GOCE_Level_2_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/GOCE_Level_2_6.0",
"description": "This collection contains GOCE level 2 data: Gravity Gradients in the gradiometer reference frame (EGG_NOM_2), in the terrestrial reference frame (EGG_TRF_2), GPS receiver derived precise science orbits (SST_PSO_2) and the non-tidal time variable gravity field potential with respect to a mean value in terms of a spherical harmonic series determined from atmospheric and oceanic mass variations as well as from a GRACE monthly gravity field time series (SST_AUX_2). EGG_NOM_2_: latest baseline: _0203 EGG_TRF_2_: latest baseline _0101 SST_AUX_2_: latest baseline _0001 SST_PSO_2_: latest baseline _0201",
"license": "proprietary"
},
{
- "id": "GOCE_TEC_and_ROTI_NA",
+ "id": "GOCE_TEC_and_ROTI_6.0",
"title": "GOCE TEC and ROTI",
"catalog": "ESA STAC Catalog",
"state_date": "2009-09-01",
@@ -81544,12 +81596,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336907-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336907-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/GOCE_TEC_and_ROTI_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/GOCE_TEC_and_ROTI_6.0",
"description": "GOCE total electron content (TEC) and rate of TEC index (ROTI) data.",
"license": "proprietary"
},
{
- "id": "GOCE_Telemetry_NA",
+ "id": "GOCE_Telemetry_6.0",
"title": "GOCE Telemetry",
"catalog": "ESA STAC Catalog",
"state_date": "2009-09-01",
@@ -81557,12 +81609,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336908-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336908-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/GOCE_Telemetry_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/GOCE_Telemetry_6.0",
"description": "This collection contains all GOCE platform and instruments telemetry. For details see http://eo-virtual-archive1.esa.int/products/GOCE_BACKUP/MUST_TLM/GOCE_TLM_packets_description.xlsx.",
"license": "proprietary"
},
{
- "id": "GOCE_Thermosphere_Data_NA",
+ "id": "GOCE_Thermosphere_Data_6.0",
"title": "GOCE Thermosphere Data",
"catalog": "ESA STAC Catalog",
"state_date": "2009-09-01",
@@ -81570,8 +81622,8 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336909-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336909-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/GOCE_Thermosphere_Data_NA",
- "description": "Thermospheric density and crosswind data products derived from GOCE data. latest baseline _0200 The GOCE+ Air Density and Wind Retrieval using GOCE Data project produced a dataset of thermospheric density and crosswind data products which were derived from ion thruster activation data from GOCE telemetry. The data was combined with the mission's accelerometer and star camera data products. The products provide data continuity and extend the accelerometer-derived thermosphere density data sets from the CHAMP and GRACE missions. The resulting density and wind observations are made available in the form of time series and grids. These data can be applied in investigations of solar-terrestrial physics, as well as for the improvement and validation of models used in space operations. Funded by ESA through the Support To Science Element (STSE) of ESA's Earth Observation Envelope Programme, supporting the science applications of ESA's Living Planet programme, the project was a partnership between TU Delft, CNES and Hypersonic Technology G\u00f6ttingen. Dataset History Date: 18/04/2019 Change: - Time series data v2.0, covering the whole mission - Updated data set user manual - New satellite geometry and aerodynamic model (http://thermosphere.tudelft.nl/) - New vertical wind field - New data for the deorbit phase, (GPS+ACC and GPS-only versions) Reason: Updated satellite models and additional data Date: 14/07/2016 Change: - Time series data v1.5, covering the whole mission - Updated data set user manual Reason: Removal of noisy data Date: 31/07/2014 Change: - Time series data v1.4, covering the whole mission - Gridded data, now including error estimates - Updated data set user manual - Updated validation report; Updated ATBD Reason: Full GOCE dataset available Date: 28/09/2013 Change: - Version 1.3 density/winds timeseries and gridded data released - User manual updated to v1.3 Reason: Bug fix and other changes Date: 04/09/2013 - Version 1.2 density/winds timeseries and gridded data released, with user manual Reason: First public data release of thermospheric density/winds data",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/GOCE_Thermosphere_Data_6.0",
+ "description": "Thermospheric density and crosswind data products derived from GOCE data. latest baseline _0200 The GOCE+ Air Density and Wind Retrieval using GOCE Data project produced a dataset of thermospheric density and crosswind data products which were derived from ion thruster activation data from GOCE telemetry. The data was combined with the mission's accelerometer and star camera data products. The products provide data continuity and extend the accelerometer-derived thermosphere density data sets from the CHAMP and GRACE missions. The resulting density and wind observations are made available in the form of time series and grids. These data can be applied in investigations of solar-terrestrial physics, as well as for the improvement and validation of models used in space operations. Funded by ESA through the Support To Science Element (STSE) of ESA's Earth Observation Envelope Programme, supporting the science applications of ESA's Living Planet programme, the project was a partnership between TU Delft, CNES and Hypersonic Technology G\u00f6ttingen. Dataset History Date: 18/04/2019 Change: - Time series data v2.0, covering the whole mission - Updated data set user manual - New satellite geometry and aerodynamic model (http://thermosphere.tudelft.nl/) - New vertical wind field - New data for the deorbit phase, (GPS+ACC and GPS-only versions) Reason: Updated satellite models and additional data Date: 14/07/2016 Change: - Time series data v1.5, covering the whole mission - Updated data set user manual Reason: Removal of noisy data Date: 31/07/2014 Change: - Time series data v1.4, covering the whole mission - Gridded data, now including error estimates - Updated data set user manual - Updated validation report; Updated ATBD Reason: Full GOCE dataset available Date: 28/09/2013 Change: - Version 1.3 density/winds timeseries and gridded data released - User manual updated to v1.3 Reason: Bug fix and other changes Date: 04/09/2013 - Version 1.2 density/winds timeseries and gridded data released, with user manual Reason: First public data release of thermospheric density/winds data",
"license": "proprietary"
},
{
@@ -81718,7 +81770,7 @@
"license": "proprietary"
},
{
- "id": "GOME_Evl_ClimateProd_TCWV_NA",
+ "id": "GOME_Evl_ClimateProd_TCWV_4.0",
"title": "GOME Total Column Water Vapour Climate product",
"catalog": "ESA STAC Catalog",
"state_date": "1995-07-01",
@@ -81726,7 +81778,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336910-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336910-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/GOME_Evl_ClimateProd_TCWV_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/GOME_Evl_ClimateProd_TCWV_4.0",
"description": "The GOME Total Column Water Vapour (TCWV) Climate product was generated by the Max Planck Institute for Chemistry (MPIC), and the German Aerospace Center (DLR) within the ESA GOME-Evolution project. It is a Level 3 type product containing homogenized time-series of the global distribution of TCWV spanning over more than two decades (1995-2015). The data is provided as single netCDF file, containing monthly mean TCWV (units kg/m2) with 1-degree resolution, and is based on measurements from the satellite instruments ERS-2 GOME, Envisat SCIAMACHY, and MetOp-A GOME-2. Details are available in the paper by Beirle et al, 2018,. Please also consult the GOME TCWV Product Quality Readme file before using the data. (https://earth.esa.int/eogateway/documents/20142/37627/GOME-TCWV-Product-sQuality-Readme-File.pdf)",
"license": "proprietary"
},
@@ -81847,6 +81899,19 @@
"description": "Measurements made in the Gulf of Mexico in 2010 during the Deepwater Horizon Oil Spill.",
"license": "proprietary"
},
+ {
+ "id": "GOSAT-2.TANSO.FTS-2.and.CAI-2.ESA.archive_3.0",
+ "title": "GOSAT-2 TANSO FTS-2 and CAI-2 ESA archive",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "2018-10-29",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394516-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394516-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/GOSAT-2.TANSO.FTS-2.and.CAI-2.ESA.archive_3.0",
+ "description": "The TANSO-FTS-2 (Thermal And Near infrared Sensor for carbon Observation - Fourier Transform Spectrometer-2) instrument is an high-resolution 5-bands (NIR and TIR) spectrometer which allows the observation of reflective and emissive radiative energy from Earth's surface and the atmosphere for the measurement of atmospheric chemistry and greenhouse gases. The TANSO-CAI-2 (Thermal And Near infrared Sensor for carbon Observation - Cloud and Aerosol Imager-2) instrument is a push-broom radiometer in the spectral ranges of ultraviolet (UV), visible (VIS), Near Infrared (NIR) and SWIR (5 bands observe in the forward direction and 5 in backwards direction, with LOS tilted by 20 degrees) for the observation of aerosols and cloud optical properties and for monitoring of air pollution. The GOSAT-2 available products are: \u2022\tFTS-2 Level 1A products contain interferogram data observed by FTS-2, together with geometric information of observation points and various telemetry. In addition, data from an optical camera (CAM) near the observation time are also stored. Two different products for day and night observations. Common data contain common information for SWIR/TIR including CAM data; SWIR data contain information from SWIR band; TIR data contain information from TIR band. \u2022\tFTS-2 level 1B products contain spectrum data, which are generated by Fourier transformation and other corrections to raw interferogram data in L1A. The sampled CAM data near the observation time are also stored. Two different products for day and night observations. Common data contain common information for SWIR/TIR including CAM data; SWIR products for SWIR spectrum data before and after sensitivity correction; TIR products for TIR spectrum data after sensitivity correction using blackbody and deep space calibration data and after correction of finite field of view. \u2022\tFTS-2 NearRealTime products: FTS-2 data are first processed with predicted orbit file and made immediately available: NRT product does not include monitor camera image, best-estimate pointing-location, and target point classification but is available on the ESA server 5 hours after sensing. After a few days (usually 3 days), data is reprocessed with definitive orbit file and sent as a consolidated product. \u2022\tFTS-2 Level 2 products: \u201cColumn-averaged Dry-air Mole Fraction\u201d products store column-averaged dry-air mole fraction of atmospheric gases retrieved by using Band 1-3 spectral radiance data in TANSO-FTS-2 L1B; \u201cChlorophyll Fluorescence and Proxy Method (FTS-2_02_SWPR)\u201d products store solar induced chlorophyll fluorescence data retrieved from Band 1 spectral radiance data in L1B Product as well as column-averaged dry-air mole fraction of atmospheric gases retrieved from Band 2 and 3 spectral radiance data in L1B Product. Both products are obtained by using the fill-physic maximum a posteriori (MAP) method and under the assumption of clear-sky condition. \u2022\tCAI-2 Level 1A products contain uncorrected image data of TANSO-CAI-2, which is stored as digital number together with telemetry of geometric information at observation point, orbit and attitude data, temperature, etc. One scene is defined as a satellite revolution data starting from ascending node to the next ascending node. Common data contain common information for both Forward looking and Backward looking; FWD products contain information for Forward looking bands, from 1 to 5; BWD products contain information for Backward looking bands, from 6 to 10. \u2022\tCAI-2 Level 1B products contain spectral radiance data per pixel converted from TANSO-CAI-2 L1A Products. Band-to-band registration of each forward- and backward- viewing band is applied; ortho-correction is performed to observation location data based on an earth ellipsoid model using digital elevation model data. \u2022\tCAI-2 Level 2 products: Cloud Discrimination Products stores clear-sky confidence levels per pixel, which are calculated by combining the results of threshold tests for multiple features such as reflectance ratio and Normalised Difference Vegetation Index (NDVI), obtained from spectral radiance data in GOSAT-2 TANSO-CAI-2 L1B Product. This product also stores cloud status bit data, in which results of individual threshold tests and quality flags are summarised. The full ESA archive and newly acquired/systematically processed GOSAT-2 FTS-2 and CAI-2 products are (ESA collection name versus JAXA product name): \u2022\tFTS-2 L1A Common day (FTS-2_1A_COMMON_DAY) \u2022\tFTS-2 L1A Common night (FTS-2_1A_COMMON_NIGHT) \u2022\tFTS-2 L1A SWIR day (FTS-2_1A_SWIR_DAY) \u2022\tFTS-2 L1A TIR day (FTS-2_1A_TIR_DAY) \u2022\tFTS-2 L1A TIR night (FTS-2_1A_TIR_NIGHT) \u2022\tFTS-2 L1B Common day (FTS-2_1B_COMMON_DAY) \u2022\tFTS-2 L1B Common night (FTS-2_1B_COMMON_NIGHT) \u2022\tFTS-2 L1B SWIR day (FTS-2_1B_SWIR_DAY) \u2022\tFTS-2 L1B TIR day (FTS-2_1B_TIR_DAY) \u2022\tFTS-2 L1B TIR night (FTS-2_1B_TIR_NIGHT) \u2022\tFTS-2 L2 Column-averaged Dry-air Mole Fraction (FTS-2_0) \u2022\tFTS-2 L2 Chlorophyll Fluorescence and Proxy Method (FTS-2_02_SWPR) \u2022\tCAI-2 L1A Common (CAI-2_1A_COMMON) \u2022\tCAI-2 L1A Forward viewing (CAI-2_1A_FWD) \u2022\tCAI-2 L1A Backward viewing (CAI-2_1A_BWD) \u2022\tCAI-2 L1B (CAI-2_1B)",
+ "license": "proprietary"
+ },
{
"id": "GOSAT.TANSO-FTS.CAI.full.archive.and.new.products_NA",
"title": "GOSAT TANSO FTS and CAI full archive and new products",
@@ -81860,6 +81925,19 @@
"description": "The TANSO-FTS instrument on-board GOSAT satellite features high optical throughput, fine spectral resolution, and a wide spectral coverage (from VIS to TIR in four bands). The reflective radiative energy is covered by the VIS and SWIR (Shortwave Infrared) ranges, while the emissive portion of radiation from Earth's surface and the atmosphere is covered by the MWIR (Midwave Infrared) and TIR (Thermal Infrared) ranges. These spectra include the absorption lines of greenhouse gases such as carbon dioxide (CO2) and methane (CH4). The TANSO-CAI instrument on-board GOSAT satellite is a radiometer in the spectral ranges of ultraviolet (UV), visible, and SWIR to correct cloud and aerosol interference. The imager has continuous spatial coverage, a wider field of view, and higher spatial resolution than the FTS in order to detect the aerosol spatial distribution and cloud coverage. Using the multispectral bands, the spectral characteristics of the aerosol scattering can be retrieved together with optical thickness. In addition, the UV-band range observations provide the aerosol data over land. With the FTS spectra, imager data, and the retrieval algorithm to remove cloud and aerosol contamination, the column density of the gases can be the column density of the gases can be retrieved with an accuracy of 1%. The full ESA archive and newly acquired/systematically processed GOSAT FTS and CAI products are available in the following processing levels: - FTS Observation mode 1 L1B, day (FTS_OB1D_1) - FTS Observation mode 1 L1B, night (FTS_OB1N_1) - FTS Special Observation L1B, day (FTS_SPOD_1) - FTS Special Observation L1B, night (FTS_SPON_1) - FTS L2 CO2 profile, TIR (FTS_P01T_2) - FTS L2 CH4 profile, TIR (FTS_P02T_2) - FTS L2 CH4 column amount, SWIR (FTS_C02S_2) - FTS L2 CO2 column amount, SWIR (FTS_C01S_2) - FTS L2 H2O column amount, SWIR (FTS_C03S_2) - FTS L3 global CO2 distribution, SWIR (FTS_C01S_3) - FTS L3 global CH4 distribution, SWIR (FTS_C02S_3) - FTS L4A global CO2 flux, annual in text format (FTS_F01M4A) - FTS L4A global CO2 flux, annual in netCDF format (FTS_F03M4A) - FTS L4A global CO2 distribution (FTS_P01M4B) - FTS L4A global CH4 flux, annual in text format (FTS_F02M4A) - FTS L4A global CH4 flux, annual in netCDF format (FTS_F04M4A) - FTS L4A global CH4 distribution (FTS_P02M4B) - CAI L1B data (CAI_TRB0_1) - CAI L1B+ (CAI_TRBP_1) - CAI L2 cloud flag (CAI_CLDM_2) - CAI L3 global reflect. distrib. clear sky (CAI_TRCF_3) - CAI L3 global radiance distrib. all pixels (CAI_TRCL_3) - CAI L3 global NDVI (CAI_NDVI_3) All products are made available as soon as processed and received from JAXA. To satisfy NearRealTime requirements, ESA also provides access to the FTS L1X products, which are the NRT version of FTS L1B products. The main difference between L1X and L1B is that L1X does not include CAM data, best-estimate pointing-location, and target point classification, but most of all the L1X products are available on the ESA server between 2 and 5 hours after acquisition. The L1X products remains on the FTP server for 5 days, the time for the corresponding L1B to be available. A document describing the differences between L1X and L1B products is listed in the available resources. For more details on products, please refer to below product specifications.",
"license": "proprietary"
},
+ {
+ "id": "GOSAT.TANSO.FTS.and.CAI.ESA.archive_3.0",
+ "title": "GOSAT TANSO FTS and CAI ESA archive",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "2009-04-20",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394666-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394666-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/GOSAT.TANSO.FTS.and.CAI.ESA.archive_3.0",
+ "description": "The TANSO-FTS instrument on-board GOSAT satellite features high optical throughput, fine spectral resolution, and a wide spectral coverage (from VIS to TIR in four bands). The reflective radiative energy is covered by the VIS and SWIR (Shortwave Infrared) ranges, while the emissive portion of radiation from Earth's surface and the atmosphere is covered by the MWIR (Midwave Infrared) and TIR (Thermal Infrared) ranges. These spectra include the absorption lines of greenhouse gases such as carbon dioxide (CO2) and methane (CH4). The TANSO-CAI instrument on-board GOSAT satellite is a radiometer in the spectral ranges of ultraviolet (UV), visible, and SWIR to correct cloud and aerosol interference. The imager has continuous spatial coverage, a wider field of view, and higher spatial resolution than the FTS in order to detect the aerosol spatial distribution and cloud coverage. Using the multispectral bands, the spectral characteristics of the aerosol scattering can be retrieved together with optical thickness. In addition, the UV-band range observations provide the aerosol data over land. With the FTS spectra, imager data, and the retrieval algorithm to remove cloud and aerosol contamination, the column density of the gases can be retrieved with an accuracy of 1%. The full ESA archive and newly acquired/systematically processed GOSAT FTS and CAI products are available in the following processing levels: \u2022\tFTS Observation mode 1 L1B, day (FTS_OB1D_1) \u2022\tFTS Observation mode 1 L1B, night (FTS_OB1N_1) \u2022\tFTS Special Observation L1B, day (FTS_SPOD_1) \u2022\tFTS Special Observation L1B, night (FTS_SPON_1) \u2022\tFTS L2 CO2 profile, TIR (FTS_P01T_2) \u2022\tFTS L2 CH4 profile, TIR (FTS_P02T_2) \u2022\tFTS L2 CH4 column amount, SWIR (FTS_C02S_2) \u2022\tFTS L2 CO2 column amount, SWIR (FTS_C01S_2) \u2022\tFTS L2 H2O column amount, SWIR (FTS_C03S_2) \u2022\tFTS L3 global CO2 distribution, SWIR (FTS_C01S_3) \u2022\tFTS L3 global CH4 distribution, SWIR (FTS_C02S_3) \u2022\tFTS L4A global CO2 flux, annual in text format (FTS_F01M4A) \u2022\tFTS L4A global CO2 flux, annual in netCDF format (FTS_F03M4A) \u2022\tFTS L4A global CO2 distribution (FTS_P01M4B) \u2022\tFTS L4A global CH4 flux, annual in text format (FTS_F02M4A) \u2022\tFTS L4A global CH4 flux, annual in netCDF format (FTS_F04M4A) \u2022\tFTS L4A global CH4 distribution (FTS_P02M4B) \u2022\tCAI L1B data (CAI_TRB0_1) \u2022\tCAI L1B+ (CAI_TRBP_1) \u2022\tCAI L2 cloud flag (CAI_CLDM_2) \u2022\tCAI L3 global reflect. distrib. clear sky (CAI_TRCF_3) \u2022\tCAI L3 global radiance distrib. all pixels (CAI_TRCL_3) \u2022\tCAI L3 global NDVI (CAI_NDVI_3) All products are made available as soon as processed and received from JAXA. To satisfy NearRealTime requirements, ESA also provides access to the FTS L1X products, which are the NRT version of FTS L1B products. The main difference between L1X and L1B is that L1X does not include CAM data, best-estimate pointing-location, and target point classification, but most of all the L1X products are available on the ESA server between 2 and 5 hours after acquisition. The L1X products remain on the dissemination server for 5 days, the time for the corresponding L1B to be available. A document describing the differences between L1X and L1B products is listed in the available resources. For more details on products, please refer to below product specifications.",
+ "license": "proprietary"
+ },
{
"id": "GOSAT2.TANSO-FTS2.CAI2.full.archive.and.new.products_NA",
"title": "GOSAT-2 TANSO FTS-2 and CAI-2 full archive and new products",
@@ -84903,7 +84981,7 @@
"license": "proprietary"
},
{
- "id": "GRACE-A.and.GRACE-B.Level1B.Level1Bcombined.Level2_NA",
+ "id": "GRACE-A.and.GRACE-B.Level1B.Level1Bcombined.Level2_4.0",
"title": "GRACE-A and GRACE-B Level 1B, Level 1B combined and Level 2 Data Products",
"catalog": "ESA STAC Catalog",
"state_date": "2002-04-01",
@@ -84911,8 +84989,8 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336912-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336912-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/GRACE-A.and.GRACE-B.Level1B.Level1Bcombined.Level2_NA",
- "description": "Level-1A Data Products are the result of a non-destructive processing applied to the Level-0 data at NASA/JPL. The sensor calibration factors are applied in order to convert the binary encoded measurements to engineering units. Where necessary, time tag integer second ambiguity is resolved and data are time tagged to the respective satellite receiver clock time. Editing and quality control flags are added, and the data is reformatted for further processing. The Level-1A data are reversible to Level-0, except for the bad data packets. This level also includes the ancillary data products needed for processing to the next data level. The Level-1B Data Products are the result of a possibly destructive, or irreversible, processing applied to both the Level-1A and Level-0 data at NASA/JPL. The data are correctly time-tagged, and data sample rate is reduced from the higher rates of the previous levels. Collectively, the processing from Level-0 to Level-1B is called the Level-1 Processing. This level also includes the ancillary data products generated during this processing, and the additional data needed for further processing. The Level-2 data products include the static and time-variable (monthly) gravity field and related data products derived from the application of Level-2 processing at GFZ, UTCSR and JPL to the previous level data products. This level also includes the ancillary data products such as GFZ's Level-1B short-term atmosphere and ocean de-aliasing product (AOD1B) generated during this processing. GRACE-A and GRACE-B Level-1B Data Product \u2022 Satellite clock solution [GA-OG-1B-CLKDAT, GB-OG-1B-CLKDAT, GRACE CLKDAT]: Offset of the satellite receiver clock relative to GPS time, obtained by linear fit to raw on-board clock offset estimates. \u2022 GPS flight data [GA-OG-1B-GPSDAT, GB-OG-1B-GPSDAT, GRACE GPSDAT]: Preprocessed and calibrated GPS code and phase tracking data edited and decimated from instrument high-rate (10 s (code) or 1 s (phase)) to low-rate (10 s) samples for science use (1 file per day, level-1 format) \u2022 Accelerometer Housekeeping data [GA-OG-1B-ACCHKP, GB-OG-1B-ACCHKP, GRACE ACCHKP]: Accelerometer proof-mass bias voltages, capacitive sensor outputs, instrument control unit (ICU) and sensor unit (SU) temperatures, reference voltages, primary and secondary power supply voltages (1 file per day, level-1 format). \u2022 Accelerometer data [GA-OG-1B-ACCDAT, GB-OG-1B-ACCDAT, GRACE ACCDAT]: Preprocessed and calibrated Level-1B accelerometer data edited and decimated from instrument high-rate (0.1 s) to low-rate (1s) samples for science use (1 file per day, level-1 format). \u2022 Intermediate clock solution [GA-OG-1B-INTCLK, GB-OG-1B-INTCLK, GRACE INTCLK]: derived with GIPSY POD software (300 s sample rate) (1 file per day, GIPSY format) \u2022 Instrument processing unit (IPU) Housekeeping data [GA-OG-1B-IPUHKP, GB-OG-1B-IPUHKP, GRACE IPUHKP]: edited and decimated from high-rate (TBD s) to low-rate (TBD s) samples for science use (1 file per day, level-1 format) \u2022 Spacecraft Mass Housekeeping data [GA-OG-1B-MASDAT, GB-OG-1B-MASDAT, GRACE MASDAT]: Level 1B Data as a function of time \u2022 GPS navigation solution data [GA-OG-1B-NAVSOL, GB-OG-1B-NAVSOL, GRACE NAVSOL]: edited and decimated from instrument high-rate (60 s) to low-rate (30 s) samples for science use (1 file per day, level-1 format) \u2022 OBDH time mapping to GPS time Housekeeping data [GA-OG-1B-OBDHTM, GB-OG-1B-OBDHTM, GRACE OBDHTM]: On-board data handling (OBDH) time mapping data (OBDH time to receiver time \u2022 Star camera data [GA-OG-1B-SCAATT, GB-OG-1B-SCAATT, GRACE SCAATT]: Preprocessed and calibrated star camera quaternion data edited and decimated from instrument high-rate (1 s) to low-rate (5 s) samples for science use (1 file per day, level-1 format) \u2022 Thruster activation Housekeeping data [GA-OG-1B-THRDAT, GB-OG-1B-THRDAT, GRACE THRDAT]: GN2 thruster data used for attitude (10 mN) and orbit (40 mN) control \u2022 GN2 tank temperature and pressure Housekeeping data [GA-OG-1B-TNKDAT, GB-OG-1B-TNKDAT, GRACE TNKDAT]: GN2 tank temperature and pressure data \u2022 Oscillator frequency data [GA-OG-1B-USODAT, GB-OG-1B-USODAT, GRACE USODAT]: derived from POD productGRACE-A and GRACE-B Combined Level-1B Data Product \u2022 Preprocessed and calibrated k-band ranging data [GA-OG-1B-KBRDAT, GB-OG-1B-KBRDAT, GRACE KBRDAT]: range, range-rate and range-acceleration data edited and decimated from instrument high-rate (0.1 s) to low-rate (5 s) samples for science use (1 file per day, level-1 format) \u2022 Atmosphere and Ocean De-aliasing Product [GA-OG-1B-ATMOCN, GB-OG-1B-ATMOCN, GRACE ATMOCN]: GRACE Atmosphere and Ocean De-aliasing Product GRACE Level-2 Data Product \u2022 GAC [GA-OG-_2-GAC, GB-OG-_2-GAC, GRACE GAC]: Combination of non-tidal atmosphere and ocean spherical harmonic coefficients provided as average over certain time span (same as corresponding GSM product) based on level-1 AOD1B product (1file per time span, level-2 format) \u2022 GCM [GA-OG-_2-GCM, GB-OG-_2-GCM, GRACE GCM]: Spherical harmonic coefficients and standard deviations of the long-term static gravity field estimated by combination of GRACE satellite instrument data and other information for a dedicated time span (multiple years) and spatial resolution (1 file per time span, level-2 format) \u2022 GAB [GA-OG-_2-GAB, GB-OG-_2-GAB, GRACE GAB]: Non-tidal ocean spherical harmonic coefficients provided as average over certain time span (same as corresponding GSM product) based on level-1 AOD1B product (1file per time span, level-2 format) \u2022 GAD [GA-OG-_2-GAD, GB-OG-_2-GAD, GRACE GAD]: bottom pressure product - combination of surface pressure and ocean (over the oceans, and zero over land). Spherical harmonic coefficients provided as average over certain time span (same as corresponding GSM product) based on level-1 AOD1B product (1file per time span, level-2 format) \u2022 GSM [GA-OG-_2-GSM, GB-OG-_2-GSM, GRACE GSM]: Spherical harmonic coefficients and standard deviations of the static gravity field estimated from GRACE satellite instrument data only for a dedicated time span (e.g. weekly, monthly, multiple years) and spatial resolution (1 file per time span, level-2 format).",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/GRACE-A.and.GRACE-B.Level1B.Level1Bcombined.Level2_4.0",
+ "description": "Level-1A Data Products are the result of a non-destructive processing applied to the Level-0 data at NASA/JPL. The sensor calibration factors are applied in order to convert the binary encoded measurements to engineering units. Where necessary, time tag integer second ambiguity is resolved and data are time tagged to the respective satellite receiver clock time. Editing and quality control flags are added, and the data is reformatted for further processing. The Level-1A data are reversible to Level-0, except for the bad data packets. This level also includes the ancillary data products needed for processing to the next data level. The Level-1B Data Products are the result of a possibly destructive, or irreversible, processing applied to both the Level-1A and Level-0 data at NASA/JPL. The data are correctly time-tagged, and data sample rate is reduced from the higher rates of the previous levels. Collectively, the processing from Level-0 to Level-1B is called the Level-1 Processing. This level also includes the ancillary data products generated during this processing, and the additional data needed for further processing. The Level-2 data products include the static and time-variable (monthly) gravity field and related data products derived from the application of Level-2 processing at GFZ, UTCSR and JPL to the previous level data products. This level also includes the ancillary data products such as GFZ's Level-1B short-term atmosphere and ocean de-aliasing product (AOD1B) generated during this processing. GRACE-A and GRACE-B Level-1B Data Product \u2022 Satellite clock solution [GA-OG-1B-CLKDAT, GB-OG-1B-CLKDAT, GRACE CLKDAT]: Offset of the satellite receiver clock relative to GPS time, obtained by linear fit to raw on-board clock offset estimates. \u2022 GPS flight data [GA-OG-1B-GPSDAT, GB-OG-1B-GPSDAT, GRACE GPSDAT]: Preprocessed and calibrated GPS code and phase tracking data edited and decimated from instrument high-rate (10 s (code) or 1 s (phase)) to low-rate (10 s) samples for science use (1 file per day, level-1 format) \u2022 Accelerometer Housekeeping data [GA-OG-1B-ACCHKP, GB-OG-1B-ACCHKP, GRACE ACCHKP]: Accelerometer proof-mass bias voltages, capacitive sensor outputs, instrument control unit (ICU) and sensor unit (SU) temperatures, reference voltages, primary and secondary power supply voltages (1 file per day, level-1 format). \u2022 Accelerometer data [GA-OG-1B-ACCDAT, GB-OG-1B-ACCDAT, GRACE ACCDAT]: Preprocessed and calibrated Level-1B accelerometer data edited and decimated from instrument high-rate (0.1 s) to low-rate (1s) samples for science use (1 file per day, level-1 format). \u2022 Intermediate clock solution [GA-OG-1B-INTCLK, GB-OG-1B-INTCLK, GRACE INTCLK]: derived with GIPSY POD software (300 s sample rate) (1 file per day, GIPSY format) \u2022 Instrument processing unit (IPU) Housekeeping data [GA-OG-1B-IPUHKP, GB-OG-1B-IPUHKP, GRACE IPUHKP]: edited and decimated from high-rate (TBD s) to low-rate (TBD s) samples for science use (1 file per day, level-1 format) \u2022 Spacecraft Mass Housekeeping data [GA-OG-1B-MASDAT, GB-OG-1B-MASDAT, GRACE MASDAT]: Level 1B Data as a function of time \u2022 GPS navigation solution data [GA-OG-1B-NAVSOL, GB-OG-1B-NAVSOL, GRACE NAVSOL]: edited and decimated from instrument high-rate (60 s) to low-rate (30 s) samples for science use (1 file per day, level-1 format) \u2022 OBDH time mapping to GPS time Housekeeping data [GA-OG-1B-OBDHTM, GB-OG-1B-OBDHTM, GRACE OBDHTM]: On-board data handling (OBDH) time mapping data (OBDH time to receiver time \u2022 Star camera data [GA-OG-1B-SCAATT, GB-OG-1B-SCAATT, GRACE SCAATT]: Preprocessed and calibrated star camera quaternion data edited and decimated from instrument high-rate (1 s) to low-rate (5 s) samples for science use (1 file per day, level-1 format) \u2022 Thruster activation Housekeeping data [GA-OG-1B-THRDAT, GB-OG-1B-THRDAT, GRACE THRDAT]: GN2 thruster data used for attitude (10 mN) and orbit (40 mN) control \u2022 GN2 tank temperature and pressure Housekeeping data [GA-OG-1B-TNKDAT, GB-OG-1B-TNKDAT, GRACE TNKDAT]: GN2 tank temperature and pressure data \u2022 Oscillator frequency data [GA-OG-1B-USODAT, GB-OG-1B-USODAT, GRACE USODAT]: derived from POD productGRACE-A and GRACE-B Combined Level-1B Data Product \u2022 Preprocessed and calibrated k-band ranging data [GA-OG-1B-KBRDAT, GB-OG-1B-KBRDAT, GRACE KBRDAT]: range, range-rate and range-acceleration data edited and decimated from instrument high-rate (0.1 s) to low-rate (5 s) samples for science use (1 file per day, level-1 format) \u2022 Atmosphere and Ocean De-aliasing Product [GA-OG-1B-ATMOCN, GB-OG-1B-ATMOCN, GRACE ATMOCN]: GRACE Atmosphere and Ocean De-aliasing Product GRACE Level-2 Data Product \u2022 GAC [GA-OG-_2-GAC, GB-OG-_2-GAC, GRACE GAC]: Combination of non-tidal atmosphere and ocean spherical harmonic coefficients provided as average over certain time span (same as corresponding GSM product) based on level-1 AOD1B product (1file per time span, level-2 format) \u2022 GCM [GA-OG-_2-GCM, GB-OG-_2-GCM, GRACE GCM]: Spherical harmonic coefficients and standard deviations of the long-term static gravity field estimated by combination of GRACE satellite instrument data and other information for a dedicated time span (multiple years) and spatial resolution (1 file per time span, level-2 format) \u2022 GAB [GA-OG-_2-GAB, GB-OG-_2-GAB, GRACE GAB]: Non-tidal ocean spherical harmonic coefficients provided as average over certain time span (same as corresponding GSM product) based on level-1 AOD1B product (1file per time span, level-2 format) \u2022 GAD [GA-OG-_2-GAD, GB-OG-_2-GAD, GRACE GAD]: bottom pressure product - combination of surface pressure and ocean (over the oceans, and zero over land). Spherical harmonic coefficients provided as average over certain time span (same as corresponding GSM product) based on level-1 AOD1B product (1file per time span, level-2 format) \u2022 GSM [GA-OG-_2-GSM, GB-OG-_2-GSM, GRACE GSM]: Spherical harmonic coefficients and standard deviations of the static gravity field estimated from GRACE satellite instrument data only for a dedicated time span (e.g. weekly, monthly, multiple years) and spatial resolution (1 file per time span, level-2 format).",
"license": "proprietary"
},
{
@@ -85904,7 +85982,7 @@
"license": "proprietary"
},
{
- "id": "GeoEye-1.ESA.archive_NA",
+ "id": "GeoEye-1.ESA.archive_9.0",
"title": "GeoEye-1 ESA archive",
"catalog": "ESA STAC Catalog",
"state_date": "2009-03-29",
@@ -85912,12 +85990,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689467-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689467-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/GeoEye-1.ESA.archive_NA",
- "description": "The GeoEye-1 archive collection consists of GeoEye-1 products requested by ESA supported projects over their areas of interest around the world. The dataset regularly grows as ESA collects new products over the years. Panchromatic (up to 40cm resolution) and 4-Bands (up to 1.65m resolution) products are available; the 4-Bands includes various options such as Multispectral (separate channel for BLUE, GREEN, RED, NIR1), Pan-sharpened (BLUE, GREEN, RED, NIR1), Bundle (separate bands for PAN, BLUE, GREEN, RED, NIR1), Natural Color (pan-sharpened BLUE, GREEN, RED), Colored Infrared (pan-sharpened GREEN, RED, NIR1) The processing levels are: \u2022 STANDARD (2A): normalized for topographic relief \u2022 VIEW READY STANDARD (OR2A): ready for orthorectification \u2022 VIEW READY STEREO: collected in-track for stereo viewing and manipulation \u2022 MAP-READY (ORTHO) 1:12.000 Orthorectified: additional processing unnecessary Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/smcat/GeoEye-1/ available on the Third Party Missions Dissemination Service.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/GeoEye-1.ESA.archive_9.0",
+ "description": "The GeoEye-1 archive collection consists of GeoEye-1 products requested by ESA supported projects over their areas of interest around the world. The dataset regularly grows as ESA collects new products over the years. Panchromatic (up to 40 cm resolution) and 4-Bands (up to 1.65 m resolution) products are available. The 4-Bands includes various options such as Multispectral (separate channel for Blue, Green, Red, NIR1), Pan-sharpened (Blue, Green, Red, NIR1), Bundle (separate bands for PAN, Blue, Green, Red, NIR1), Natural Colour (pan-sharpened Blue, Green, Red), Coloured Infrared (pan-sharpened Green, Red, NIR1). The processing levels are: STANDARD (2A): normalised for topographic relief View Ready Standard (OR2A): ready for orthorectification View Ready Stereo: collected in-track for stereo viewing and manipulation Map-Ready (Ortho) 1:12,000 Orthorectified: additional processing unnecessary. Spatial coverage: Check the spatial coverage of the collection on a map available on the Third Party Missions Dissemination Service. The following table summarises the offered product types EO-SIP product type\tBand Combination\tDescription GIS_4B__2A\t4-Band (4B)\t4-Band Standard/ 4-Band Ortho Ready Standard GIS_4B__MP\t4-Band (4B)\t4-Band Map Scale Ortho GIS_4B__OR\t4-Band (4B)\t4-Band Ortho Ready Stereo GIS_PAN_2A\tPanchromatic (PAN)\tPanchromatic Standard/ Panchromatic Ortho Ready Standard GIS_PAN_MP\tPanchromatic (PAN)\tPanchromatic Map Scale Ortho GIS_PAN_OR\tPanchromatic (PAN)\tPanchromatic Ortho Ready Stereo As per ESA policy, very high-resolution imagery of conflict areas cannot be provided.",
"license": "proprietary"
},
{
- "id": "GeoEye-1.full.archive.and.tasking_NA",
+ "id": "GeoEye-1.full.archive.and.tasking_8.0",
"title": "GeoEye-1 full archive and tasking",
"catalog": "ESA STAC Catalog",
"state_date": "2008-10-01",
@@ -85925,8 +86003,8 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336913-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336913-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/GeoEye-1.full.archive.and.tasking_NA",
- "description": "GeoEye-1 high resolution optical products are available as part of the Maxar Standard Satellite Imagery products from the QuickBird, WorldView-1/-2/-3/-4, and GeoEye-1 satellites. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. In particular, GeoEye-1 offers archive and tasking panchromatic products up to 0.41m GSD resolution and Multispectral products up to 1.65m GSD resolution. Band Combination: STANDARD(2A)/VIEW READY STANDARD (OR2A), VIEW READY STEREO, MAP-READY (ORTHO) 1:12.000 Orthorectified Resolution: 0.30m, 0.40m, 0.50m and 0.60m The list of available archived data can be retrieved using the Image Library (https://www.euspaceimaging.com/image-library/) catalogue.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/GeoEye-1.full.archive.and.tasking_8.0",
+ "description": "GeoEye-1 high resolution optical products are available as part of the Maxar Standard Satellite Imagery products from the QuickBird, WorldView-1/-2/-3/-4 and GeoEye-1 satellites. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. In particular, GeoEye-1 offers archive and tasking panchromatic products up to 0.41 m GSD resolution and Multispectral products up to 1.65 m GSD resolution. Band Combination\tData Processing Level\tResolutions Panchromatic and 4-bands\tStandard (2A) / View Ready Standard (OR2A)\t15 cm HD, 30 cm HD, 30 cm, 40 cm, 50/60 cm View Ready Stereo\t30 cm, 40 cm, 50/60 cm Map-Ready (Ortho) 1:12,000 Orthorectified\t15 cm HD, 30 cm HD, 30 cm, 40 cm, 50/60 cm The options for 4-Bands are the following: 4-Band Multispectral (BLUE, GREEN, RED, NIR1) 4-Band Pan-sharpened (BLUE, GREEN, RED, NIR1) 4-Band Bundle (PAN, BLUE, GREEN, RED, NIR1) 3-Bands Natural Colour (pan-sharpened BLUE, GREEN, RED) 3-Band Colored Infrared (pan-sharpened GREEN, RED, NIR1). Native 30 cm and 50/60 cm resolution products are processed with MAXAR HD Technology to generate respectively the 15 cm HD and 30 cm HD products the initial special resolution (GSD) is unchanged but the HD technique increases the number of pixels and improves the visual clarity achieving aesthetically refined imagery with precise edges and well-reconstructed details. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided.",
"license": "proprietary"
},
{
@@ -85982,7 +86060,7 @@
"license": "proprietary"
},
{
- "id": "Geosat-1.Full.archive.and.tasking_NA",
+ "id": "Geosat-1.Full.archive.and.tasking_6.0",
"title": "GEOSAT-1 full archive and tasking",
"catalog": "ESA STAC Catalog",
"state_date": "2009-08-01",
@@ -85990,12 +86068,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2207498032-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2207498032-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Geosat-1.Full.archive.and.tasking_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Geosat-1.Full.archive.and.tasking_6.0",
"description": "GEOSAT-1 full archive and new tasking products are available at 22 m resolution in two processing levels. L1R (Basic Geopositioned): All 3 spectral channels combined into a band-registered image. Geopositioned product based on sensor model. Coefficients derived from satellite orientation parameters coming from telemetry and appended to metadata L1T (L1R orthorectified): Orthorectified to sub-pixel accuracy (10 metres RMS error approximately) with respect to Landsat ETM+ reference data and hole-filled seamless SRTM DEM data V3, 2006 (90 m) GEOSAT-1 products are provided in DIMAP format. The image products are delivered in the TIFF and GeoTIFF image formats by default. All products can be provided in False Colours (R,G,NIR) or Natural Colours (R, G, Synthetic Blue). All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. The list of available archived data can be retrieved using the GEOSAT catalogue (https://catalogue.geosat.space/cscda/extcat/) All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. The list of available archived data can be retrieved using the Deimos catalogue (http://www.deimos-imaging.com/catalogue).",
"license": "proprietary"
},
{
- "id": "Geosat-2.Full.archive.and.tasking_NA",
+ "id": "Geosat-2.Full.archive.and.tasking_8.0",
"title": "GEOSAT-2 full archive and tasking",
"catalog": "ESA STAC Catalog",
"state_date": "2014-07-01",
@@ -86003,8 +86081,8 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2272577478-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2272577478-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Geosat-2.Full.archive.and.tasking_NA",
- "description": "GEOSAT-2 full archive and new tasking products are available at up to 0.75m resolution as: Pan-sharpened (4 bands, 321 Natural Colours or 432 False Colours): A four-band image, resulting from adding the information of each multispectral band to the panchromatic band. The fusion does not preserves all spectral features of the multispectral bands, so it should not be used for radiometric purposes. Resolution 1m (L1B) or 0.75m (L1C); Bands: All, R-G-B or Ni-R-G Panchromatic: Single-band image coming from the panchromatic sensor. Resolution 1m (L1B) or 0.75m (L1C) Multispectral: Four-band image coming for the multispectral sensor, with band co-registration. Resolution 4m (L1B) or 3m (L1C) Bundle: Panchromatic + Multispectral bands: five-band image containing the panchromatic and multispectral products packaged together, with band co-registration. Stereo Pair: Obtained from two acquisitions of the same target performed from different viewpoints in the same pass by using the agility feature of the platform. It can be provided as a pair of pan-sharpened or panchromatic images. The image products are delivered in GeoTIFF image format by default. JPEG-2000 format is also available on demand. Available processing levels are L1B (native) and L1C (ortho): All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. The list of available archived data can be retrieved using the Deimos catalogue (http://www.deimos-imaging.com/catalogue).",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Geosat-2.Full.archive.and.tasking_8.0",
+ "description": "GEOSAT-2 full archive and new tasking products are available in different bands combinations: Pan-sharpened (4 bands, 321 Natural Colours or 432 False Colours): A four-band image, resulting from adding the information of each multispectral band to the panchromatic band. The fusion does not preserves all spectral features of the multispectral bands, so it should not be used for radiometric purposes. Resolution 1m (L1B), 0.75m (L1C) or 0.40m (L1D); Bands: All, R-G-B or Ni-R-G Panchromatic: Single-band image coming from the panchromatic sensor. Resolution 1m (L1B) or 0.75m (L1C) Multispectral: Four-band image coming for the multispectral sensor, with band co-registration. Resolution 4m (L1B) or 3m (L1C) Bundle: Panchromatic + Multispectral bands: five-band image containing the panchromatic and multispectral products packaged together, with band co-registration. Resolution 1m+4m (L1B), 0.75m+3m (L1C) or 0.40m+1.6m (L1D); And in addition Stereo Pair: Obtained from two acquisitions of the same target performed from different viewpoints in the same pass by using the agility feature of the platform. It can be provided as a pair of pan-sharpened or panchromatic images. GEOSAT-2 full archive and new tasking products are available at up to 0.4m resolution as: L1 SR Pan-sharpened (4 bands, 321 Natural Colours or 432 False Colours): A four-band image, resulting from adding the information of each multispectral band to the panchromatic band. The fusion does not preserve all spectral features of the multispectral bands, so it should not be used for radiometric purposes. Enhanced GSD from AI based techniques. Resolution 0.4m enhanced ortho; Bands: All, R-G-B or Ni-R-G L1SR Bundle: Panchromatic + Multispectral bands: five-band image containing the panchromatic and multispectral products packaged together, with band co-registration. Enhanced GSD from AI based techniques. Resolution 0.4m (P), 1.6m (MS) enhanced ortho. The image products are delivered in GeoTIFF image format by default. JPEG-2000 format is also available on demand. Available processing levels are ortho-ready L1B (not resampled) and ortho L1C (orthorectified and resampled). In addition, for Pan-sharpened and Bundle, also L1D (enhanced ortho) super-resolution products are available: based on artificial intelligence, this technology increases the original resolution and detail of an image without losing quality with respect to the original product \t Processing Level and Spatial Resolution\t Spectral Bands Product Type L1B (orthoready)\t L1C (ortho)\t L1D (Enhanced Ortho) Pan-sharpened\t1.0m\t 0.75m\t 0.40m\t All\t R, G, B\tNI, R, G Pan\t 1.0m\t 0.75m\t \t Only Pan band MS\t 4.0m\t 3.00m\t \t Only MS band Bundle (PAN+MS) 1.0m (P), 4.0m (MS)\t0.75m (P), 3.0m(MS)\t0.40m (P), 1.6m(MS) All As per ESA policy, very high-resolution imagery of conflict areas cannot be provided.",
"license": "proprietary"
},
{
@@ -88959,7 +89037,7 @@
"license": "proprietary"
},
{
- "id": "ICEYE.ESA.Archive_NA",
+ "id": "ICEYE.ESA.Archive_8.0",
"title": "ICEYE ESA archive",
"catalog": "ESA STAC Catalog",
"state_date": "2018-12-03",
@@ -88967,12 +89045,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2547579173-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2547579173-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ICEYE.ESA.Archive_NA",
- "description": "The ICEYE ESA archive collection consists of ICEYE Level 1 products requested by ESA supported projects over their areas of interest around the world. The dataset regularly grows as ESA collects new products over the years. Three different modes are available: \u2022\tSpot: with a slant resolution of 50 cm in range by 25 cm in azimuth that translated into the ground generates a ground resolution of 1 m over an area of 5 km x 5 km. Due to multi-looking, speckle noise is significantly reduced. \u2022\tStrip: the ground swath is 30 x 50 km2 and the ground range resolution is 3 m. \u2022\tScan: a large area (100km x 100kmis acquired with ground resolution of 15m. Two different processing levels: \u2022\tSingle Look Complex (SLC): Level 1A geo-referenced product and stored in the satellite's native image acquisition geometry (the slant imaging plane) \u2022\tGround Range Detected (GRD): Level 1B product; detected, multi-looked and projected to ground range using an Earth ellipsoid model; the image coordinates are oriented along the flight direction and along the ground range; no image rotation to a map coordinate system is performed, interpolation artefacts not introduced. The following table defines the offered product types EO-SIP product type\tMode\tProcessing level XN_SM__SLC\tStrip\tSingle Look Complex (SLC) - Level 1A XN_SM__GRD\tStrip\tGround Range Detected (GRD) - Level 1B XN_SL__SLC\tSpot\tSingle Look Complex (SLC) - Level 1A XN_SL__GRD\tSpot\tGround Range Detected (GRD) - Level 1B XN_SR__GRD\tScan\tGround Range Detected (GRD) - Level 1B",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ICEYE.ESA.Archive_8.0",
+ "description": "The ICEYE ESA archive collection consists of ICEYE Level 1 products requested by ESA supported projects over their areas of interest around the world. The dataset regularly grows as ESA collects new products over the years. Three different modes are available: \u2022\tSpot: with a slant resolution of 50 cm in range by 25 cm in azimuth that translated into the ground generates a ground resolution of 1 m over an area of 5 km x 5 km. Due to multi-looking, speckle noise is significantly reduced. \u2022\tStrip: the ground swath is 30 x 50 km2 and the ground range resolution is 3 m. \u2022\tScan: a large area (100km x 100kmis acquired with ground resolution of 15m. Two different processing levels: \u2022\tSingle Look Complex (SLC): Level 1A geo-referenced product and stored in the satellite's native image acquisition geometry (the slant imaging plane) \u2022\tGround Range Detected (GRD): Level 1B product; detected, multi-looked and projected to ground range using an Earth ellipsoid model; the image coordinates are oriented along the flight direction and along the ground range; no image rotation to a map coordinate system is performed, interpolation artefacts not introduced. The following table defines the offered product types EO-SIP product type\tMode\tProcessing level XN_SM__SLC\tStrip\tSingle Look Complex (SLC) - Level 1A XN_SM__GRD\tStrip\tGround Range Detected (GRD) - Level 1B XN_SL__SLC\tSpot\tSingle Look Complex (SLC) - Level 1A XN_SL__GRD\tSpot\tGround Range Detected (GRD) - Level 1B XN_SR__GRD\tScan\tGround Range Detected (GRD) - Level 1B",
"license": "proprietary"
},
{
- "id": "ICEYE_NA",
+ "id": "ICEYE_9.0",
"title": "ICEYE full archive and tasking",
"catalog": "ESA STAC Catalog",
"state_date": "2018-12-03",
@@ -88980,8 +89058,8 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336914-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336914-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ICEYE_NA",
- "description": "ICEYE full archive and new tasking products are available in Strip, Spot, SLEA (Spot Extended Area) and Scan modes, Complex (SLC) and Amplitude (GRD) processing levels: - Strip instrument mode: the ground swath is illuminated with a continuous sequence of pulses while the antenna beam is fixed in its orientation. This results in a long image strip parallel to the flight direction: the transmitted pulse bandwidth is adjusted to always achieve a ground range resolution of 3 m. - Spot instrument mode: the radar beam is steered to illuminate a fixed point to increase the illumination time, resulting in an extended Synthetic aperture length, which improves the azimuth resolution. Spot mode uses a 300 MHz pulse bandwidth and provides a slant plane image with a resolution of 0.5 m (range) by 0.25 m (azimuth); when translated into the ground, the products has 1 m resolution covering an area of 5 km x 5 km. Due to multi-looking, speckle noise is significantly reduced - As an evolution of Spot mode, SLEA (Spot Extended Area) products are available with the same resolution of Spot data but a scene size of 15 km x 15 km - Scan Instrument mode: the phased array antenna is used to create multiple beams in the elevation direction which allows to acquire a large area (100km x 100km) with resolution better than 15m. To achieve the finest image quality of its Scan image, ICEYE employs a TOPSAR technique, which brings major benefits over the quality of the images obtained with conventional SCANSAR imaging. With the 2-dimensional electronic beam steering, TOPSAR ensures the maximum radar power distribution in the scene, providing uniform image quality. Two different processing levels can be requested: - Single Look Complex (SLC): Single Look Complex (SLC) Level 1a products consist of focused SAR data geo-referenced using orbit and attitude data from the satellite and the scenes are stored in the satellite's native image acquisition geometry which is the slant-range-by-azimuth imaging plane and with zero-Doppler SAR coordinates. The pixels are spaced equidistant in azimuth and in slant range. The products include a single look in each dimension using the full transmit signal bandwidth and consist of complex magnitude value samples preserving both amplitude and phase information. No radiometric artefacts induced by spatial resampling or geocoding. The product is provided in Hierarchical Data Format (HDF5) plus a xml file with selected metadata. - Ground Range Detected (GRD): Ground Range Detected (GRD) Level 1b products consist of focused SAR data that has been detected, multi-looked and projected to ground range using an Earth ellipsoid model. The image coordinates are oriented along the flight direction and along the ground range. Pixel values represent detected magnitude, the phase information is lost. The resulting product has approximately square spatial resolution pixels and square pixel spacing with reduced speckle due to the multi-look processing at the cost of worse spatial resolution. No image rotation to a map coordinate system has been performed and interpolation artefacts are thus avoided. The product is provided in GeoTiff plus a xml file with selected metadata. / Strip / Spot / Scan // Ground range resolution (GRD) / 3 m / 1 m / <15m // Ground azimuth resolution (GRD) / 3 m / 1 m / <15 m // Slant range resolution (SLC) / 0.5 - 2.5 m / 0.5 m / // Slant azimuth resolution (SLC) / 3.0 m / 0.25 m / // Scene size (W x L) / 30 x 50 km2 / 5 x 5 km2 / 100 x 100 km2 // Incident angle / 15 - 30\u00b0 / 20 - 35\u00b0 / 21-29\u00b0 // Polarisation / VV / VV / VV // All details about the data provision, data access conditions and quota assignment procedure are described in the _$$ICEYE Terms of Applicability$$ https://earth.esa.int/eogateway/documents/20142/37627/ICEYE-Terms-Of-Applicability.pdf . In addition, ICEYE has released a _$$public catalogue$$ https://www.iceye.com/lp/iceye-18000-public-archive that contains nearly 18,000 thumbnails under a creative common license of radar images acquired with ICEYE's SAR satellite constellation all around the world from 2019 until October 2020. Access to the catalogue requires registration.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ICEYE_9.0",
+ "description": "ICEYE full archive and new tasking products are available in Strip, Spot, SLEA (Spot Extended Area), Scan, and Dwell modes: \t\u2022\tStrip instrument mode: the ground swath is illuminated with a continuous sequence of pulses while the antenna beam is fixed in its orientation. This results in a long image strip parallel to the flight direction: the transmitted pulse bandwidth is adjusted to always achieve a ground range resolution of 3 m \t\u2022\tSpot instrument mode: the radar beam is steered to illuminate a fixed point to increase the illumination time, resulting in an extended Synthetic aperture length, which improves the azimuth resolution. Spot mode uses a 300 MHz pulse bandwidth and provides a slant plane image with a resolution of 0.5 m (range) by 0.25 m (azimuth); when translated into the ground, the products has 1 m resolution covering an area of 5 km x 5 km. Due to multi-looking, speckle noise is significantly reduced \t\u2022\tAs an evolution of Spot mode, SLEA (Spot Extended Area) products are available with the same resolution of Spot data but a scene size of 15 km x 15 km \t\u2022\tScan Instrument mode: the phased array antenna is used to create multiple beams in the elevation direction which allows to acquire a large area (100km x 100km) with resolution better than 15m. To achieve the finest image quality of its Scan image, ICEYE employs a TOPSAR technique, which brings major benefits over the quality of the images obtained with conventional SCANSAR imaging. With the 2-dimensional electronic beam steering, TOPSAR ensures the maximum radar power distribution in the scene, providing uniform image quality. \t\u2022\tDwell mode: with the satellite staring at the same location for up to 25 seconds, Dwell mode is a very long Spot mode SAR collection. This yields a very fine azimuth resolution and highly-reduced speckle. The 25 second collection time allows the acquired image stack to be reconstructed as a video to give insight into the movement of objects. Two different processing levels can be requested: \t\u2022\tSingle Look Complex (SLC): Single Look Complex (SLC) Level 1a products consist of focused SAR data geo-referenced using orbit and attitude data from the satellite and the scenes are stored in the satellite's native image acquisition geometry which is the slant-range-by-azimuth imaging plane and with zero-Doppler SAR coordinates. The pixels are spaced equidistant in azimuth and in slant range. The products include a single look in each dimension using the full transmit signal bandwidth and consist of complex magnitude value samples preserving both amplitude and phase information. No radiometric artefacts induced by spatial resampling or geocoding. The product is provided in Hierarchical Data Format (HDF5) plus a xml file with selected metadata \t\u2022\tGround Range Detected (GRD): Ground Range Detected (GRD) Level 1b products consist of focused SAR data that has been detected, multi-looked and projected to ground range using an Earth ellipsoid model. The image coordinates are oriented along the flight direction and along the ground range. Pixel values represent detected magnitude, the phase information is lost. The resulting product has approximately square spatial resolution pixels and square pixel spacing with reduced speckle due to the multi-look processing at the cost of worse spatial resolution. No image rotation to a map coordinate system has been performed and interpolation artefacts are thus avoided. The product is provided in GeoTiff plus a xml file with selected metadata. \t\t\t\tStrip\t\tSpot\t\tSLEA\t\tScan\t\tDwell Ground range resolution (GRD)\t3 m\t\t1 m\t\t1 m\t\t15 m\t\t1 m Ground azimuth resolution (GRD)\t3 m\t\t1 m\t\t1 m\t\t15 m\t\t1 m Slant range resolution (SLC)\t0.5 m - 2.5 m\t0.5 m\t\t0.5 m\t \t\t\t0.5 m Slant azimuth resolution (SLC)\t3 m\t\t0.25 m\t\t1 m\t \t\t\t0.05 m Scene size (W x L)\t\t30 x 50 km2\t5 x 5 km2\t15 x 15 km2\t100 x 100 km2\t5 x 5 km2 Incident angle\t\t\t15 - 30\u00b0\t20 - 35\u00b0\t20 - 35\u00b0\t21 - 29\u00b0\t20 - 35\u00b0 Polarisation\tVV All details about the data provision, data access conditions and quota assignment procedure are described in the _$$ICEYE Terms of Applicability$$ https://earth.esa.int/eogateway/documents/20142/37627/ICEYE-Terms-Of-Applicability.pdf . In addition, ICEYE has released a _$$public catalogue$$ https://www.iceye.com/lp/iceye-18000-public-archive that contains nearly 18,000 thumbnails under a creative common license of radar images acquired with ICEYE's SAR satellite constellation all around the world from 2019 until October 2020. Access to the catalogue requires registration.",
"license": "proprietary"
},
{
@@ -89479,7 +89557,7 @@
"license": "proprietary"
},
{
- "id": "IKONOS.ESA.archive_NA",
+ "id": "IKONOS.ESA.archive_9.0",
"title": "IKONOS ESA archive",
"catalog": "ESA STAC Catalog",
"state_date": "2000-12-25",
@@ -89487,8 +89565,8 @@
"bbox": "-8, -9, 75, 65",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1532648147-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1532648147-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/IKONOS.ESA.archive_NA",
- "description": "ESA maintains an archive of IKONOS Geo Ortho Kit data previously requested through the TPM scheme and acquired between 2000 and 2008, over Europe, North Africa and the Middle East. The imagery products gathered from IKONOS are categorised according to positional accuracy, which is determined by the reliability of an object in the image to be within the specified accuracy of the actual location of the object on the ground. Within each IKONOS-derived product, location error is defined by a circular error at 90% confidence (CE90), which means that locations of objects are represented on the image within the stated accuracy 90% of the time. There are six levels of IKONOS imagery products, determined by the level of positional accuracy: Geo, Standard Ortho, Reference, Pro, Precision and PrecisionPlus. The product provided by ESA to Category-1 users is the Geo Ortho Kit, consisting of IKONOS Black-and-White images with radiometric and geometric corrections (1-metre pixels, CE90=15 metres) bundled with IKONOS multispectral images with absolute radiometry (4-metre pixels, CE90=50 metres). IKONOS collects 1m and 4m Geo Ortho Kit imagery (nominally at nadir 0.82m for panchromatic image, 3.28m for multispectral mode) at an elevation angle between 60 and 90 degrees. To increase the positional accuracy of the final orthorectified imagery, customers should select imagery with IKONOS elevation angle between 72 and 90 degrees. The Geo Ortho Kit is tailored for sophisticated users such as photogrammetrists who want to control the orthorectification process. Geo Ortho Kit images include the camera geometry obtained at the time of image collection. Applying Geo Ortho Kit imagery, customers can produce their own highly accurate orthorectified products by using commercial off the shelf software, digital elevation models (DEMs) and optional ground control. Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/smcat/IKONOS2/ available on the Third Party Missions Dissemination Service.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/IKONOS.ESA.archive_9.0",
+ "description": "ESA maintains an archive of IKONOS Geo Ortho Kit data previously requested through the TPM scheme and acquired between 2000 and 2008, over Europe, North Africa and the Middle East. The imagery products gathered from IKONOS are categorised according to positional accuracy, which is determined by the reliability of an object in the image to be within the specified accuracy of the actual location of the object on the ground. Within each IKONOS-derived product, location error is defined by a circular error at 90% confidence (CE90), which means that locations of objects are represented on the image within the stated accuracy 90% of the time. There are six levels of IKONOS imagery products, determined by the level of positional accuracy: Geo, Standard Ortho, Reference, Pro, Precision and PrecisionPlus. The product provided by ESA to Category-1 users is the Geo Ortho Kit, consisting of IKONOS Black-and-White images with radiometric and geometric corrections (1-metre pixels, CE90=15 metres) bundled with IKONOS multispectral images with absolute radiometry (4-metre pixels, CE90=50 metres). IKONOS collects 1m and 4m Geo Ortho Kit imagery (nominally at nadir 0.82m for panchromatic image, 3.28m for multispectral mode) at an elevation angle between 60 and 90 degrees. To increase the positional accuracy of the final orthorectified imagery, customers should select imagery with IKONOS elevation angle between 72 and 90 degrees. The Geo Ortho Kit is tailored for sophisticated users such as photogrammetrists who want to control the orthorectification process. Geo Ortho Kit images include the camera geometry obtained at the time of image collection. Applying Geo Ortho Kit imagery, customers can produce their own highly accurate orthorectified products by using commercial off the shelf software, digital elevation models (DEMs) and optional ground control. Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/smcat/IKONOS2/ available on the Third Party Missions Dissemination Service.",
"license": "proprietary"
},
{
@@ -90870,7 +90948,7 @@
"license": "proprietary"
},
{
- "id": "IRS-1.archive_NA",
+ "id": "IRS-1.archive_5.0",
"title": "IRS-1C/1D European coverage",
"catalog": "ESA STAC Catalog",
"state_date": "1996-06-25",
@@ -90878,12 +90956,12 @@
"bbox": "-20, -25, 50, 75",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336915-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336915-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/IRS-1.archive_NA",
- "description": "IRS-1C/1D dataset is composed of products generated by the Indian Remote Sensing (IRS) Satellites 1C/1D PAN sensor. The products, acquired from 1996 to 2004 over Europe, are radiometrically and ortho corrected level 1 black and white images at 5 metre resolution and cover an area of up to 70 x 70 km. Sensor: PAN Type: Panchromatic Resolution (m): 5 Coverage (km x km): 70 x 70 System or radiometrically corrected Ortho corrected (DN) Acquisition in Neustrelitz: 1996 - 2004 5 70 x 70 X X Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/smcat/IRS1/ available on the Third Party Missions Dissemination Service.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/IRS-1.archive_5.0",
+ "description": "IRS-1C/1D dataset is composed of products generated by the Indian Remote Sensing (IRS) Satellites 1C/1D PAN sensor. The products, acquired from 1996 to 2004 over Europe, are radiometrically and ortho corrected level 1 black and white images at 5 metre resolution and cover an area of up to 70 x 70 km. Sensor: PAN Type: Panchromatic Resolution (m): 5 Coverage (km x km): 70 x 70 System or radiometrically corrected Ortho corrected (DN) Acquisition in Neustrelitz: 1996 - 2004 5 70 x 70 X X Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/smcat/IRS1/ available on the Third Party Missions Dissemination Service.",
"license": "proprietary"
},
{
- "id": "IRS-1C_1D.Full.archive_NA",
+ "id": "IRS-1C_1D.Full.archive_5.0",
"title": "IRS-1C/1D Full archive",
"catalog": "ESA STAC Catalog",
"state_date": "1996-01-01",
@@ -90891,8 +90969,8 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689471-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689471-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/IRS-1C_1D.Full.archive_NA",
- "description": "The following products are available \u2022 PAN: Panchromatic, resolution 5 m, Coverage 70 km x 70 km, radiometrically and ortho (DN) corrected, \u2022 LISS-III: Multi-spectral, resolution 25 m, Coverage 140 km x 140 km, radiometrically and ortho (DN) corrected (ortho delivered without Band 5) \u2022 WiFS: Multi-spectral, resolution 180 m, Coverage 800 km x 800 km, radiometrically and ortho (DN) corrected Sensor: PAN, Type: Panchromatic, Resolution (m): 5, Coverage (km x km): 70 x 70, System or radiometrically corrected, Ortho corrected (DN), Global archive: 1996 \u2013 2007 (IRS-1C) and 1998 \u2013 2009 (IRS-1D) Sensor: LISS-III, Type: Multi-spectral, Resolution (m): 25, Coverage (km x km): 140 x 140, System or radiometrically corrected, Ortho corrected (DN) (without band 5), Global archive: 1996 \u2013 2007 (IRS-1C) and 1998 \u2013 2009 (IRS-1D) Sensor: WiFS, Type: Multi-spectral, Resolution (m): 180, Coverage (km x km): 800 x 800, System or radiometrically corrected, Ortho corrected (DN), Global archive: 1996 \u2013 2007 (IRS-1C) and 1998 \u2013 2009 (IRS-1D) Note: \u2022 Whether system corrected or radiometrically corrected products are available depends on sensor and processing centre \u2022 For PAN and LISS-III ortho corrected: If unavailable, user has to supply ground control information and DEM in suitable quality \u2022 For WiFS ortho corrected: service based on in house available ground control information and DEM The products are available as part of the GAF Imagery products from the Indian missions: IRS-1C, IRS-1D, CartoSat-1 (IRS-P5), ResourceSat-1 (IRS-P6) and ResourceSat-2 (IRS-R2) missions. 'IRS-1C/1D Full archive' collection has worldwide coverage: data can be requested by contacting GAF user support to check the readiness since no catalogue is not available. All details about the data provision, data access conditions and quota assignment procedure are described in the Terms of Applicability (https://earth.esa.int/eogateway/documents/20142/37627/Indian-Data-Terms-Of-Applicability.pdf).",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/IRS-1C_1D.Full.archive_5.0",
+ "description": "The following products are available \u2022 PAN: Panchromatic, resolution 5 m, Coverage 70 km x 70 km, radiometrically and ortho (DN) corrected, \u2022 LISS-III: Multi-spectral, resolution 25 m, Coverage 140 km x 140 km, radiometrically and ortho (DN) corrected (ortho delivered without Band 5) \u2022 WiFS: Multi-spectral, resolution 180 m, Coverage 800 km x 800 km, radiometrically and ortho (DN) corrected Sensor: PAN, Type: Panchromatic, Resolution (m): 5, Coverage (km x km): 70 x 70, System or radiometrically corrected, Ortho corrected (DN), Global archive: 1996 \u2013 2007 (IRS-1C) and 1998 \u2013 2009 (IRS-1D) Sensor: LISS-III, Type: Multi-spectral, Resolution (m): 25, Coverage (km x km): 140 x 140, System or radiometrically corrected, Ortho corrected (DN) (without band 5), Global archive: 1996 \u2013 2007 (IRS-1C) and 1998 \u2013 2009 (IRS-1D) Sensor: WiFS, Type: Multi-spectral, Resolution (m): 180, Coverage (km x km): 800 x 800, System or radiometrically corrected, Ortho corrected (DN), Global archive: 1996 \u2013 2007 (IRS-1C) and 1998 \u2013 2009 (IRS-1D) Note: \u2022 Whether system corrected or radiometrically corrected products are available depends on sensor and processing centre \u2022 For PAN and LISS-III ortho corrected: If unavailable, user has to supply ground control information and DEM in suitable quality \u2022 For WiFS ortho corrected: service based on in house available ground control information and DEM The products are available as part of the GAF Imagery products from the Indian missions: IRS-1C, IRS-1D, CartoSat-1 (IRS-P5), ResourceSat-1 (IRS-P6) and ResourceSat-2 (IRS-R2) missions. 'IRS-1C/1D Full archive' collection has worldwide coverage: data can be requested by contacting GAF user support to check the readiness since no catalogue is not available. All details about the data provision, data access conditions and quota assignment procedure are described in the Terms of Applicability (https://earth.esa.int/eogateway/documents/20142/37627/Indian-Data-Terms-Of-Applicability.pdf).",
"license": "proprietary"
},
{
@@ -91299,7 +91377,7 @@
"license": "proprietary"
},
{
- "id": "Image2006_NA",
+ "id": "Image2006_8.0",
"title": "Image 2006 European coverage",
"catalog": "ESA STAC Catalog",
"state_date": "2005-02-03",
@@ -91307,12 +91385,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336916-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336916-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Image2006_NA",
- "description": "Image 2006 collection is a SPOT-4, SPOT-5 and ResourceSat-1 (also known as IRS-P6) cloud free coverage over 38 European countries in 2006 (from February 2005 to November 2007). The Level 1 data provided in this collection originate from the SPOT-4 HRVIR instrument (with 20m spatial resolution), from SPOT-5 HRG (with 10m spatial resolution resampled to 20m) and IRS-P6 LISS III (with 23m spatial resolution), each with four spectral bands. The swath is of about 60 km for the SPOT satellites and 140 km for the IRS-P6 satellite. In addition to the Level 1, the collection provides the same data geometrically corrected towards a European Map Projection with 25m resolution. Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/smcat/Image2006/ available on the Third Party Missions Dissemination Service.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Image2006_8.0",
+ "description": "Image 2006 collection is a SPOT-4, SPOT-5 and ResourceSat-1 (also known as IRS-P6) cloud free coverage over 38 European countries in 2006 (from February 2005 to November 2007). The Level 1 data provided in this collection originate from the SPOT-4 HRVIR instrument (with 20m spatial resolution), from SPOT-5 HRG (with 10m spatial resolution resampled to 20m) and IRS-P6 LISS III (with 23m spatial resolution), each with four spectral bands. The swath is of about 60 km for the SPOT satellites and 140 km for the IRS-P6 satellite. In addition to the Level 1, the collection provides the same data geometrically corrected towards a European Map Projection with 25m resolution. Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/smcat/Image2006/ available on the Third Party Missions Dissemination Service.",
"license": "proprietary"
},
{
- "id": "Image2007_NA",
+ "id": "Image2007_8.0",
"title": "Image 2007 European coverage",
"catalog": "ESA STAC Catalog",
"state_date": "2007-04-07",
@@ -91320,7 +91398,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336917-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336917-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Image2007_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Image2007_8.0",
"description": "The Image 2007 collection is composed by products acquired by Disaster Monitoring Constellation 1st generation (DMC-1) satellites over European countries (plus Turkey) in 2007. The data provided in this collection are 32m multispectral images captured by the DMC SLIM-6 imager sensor, with two processing levels: \u2022 L1R Band registered product derived from the L0R product \u2022 L1T Orthorectified product derived from the L1R product using manually collected GCPs from Landsat ETM+ data and SRTM DEM V31 data Data disseminated come from the following satellites belonging to DMC-1 constellation: \u2022 UK-DMC-1 \u2022 Bejing-1 \u2022 NigeriaSat-1 Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/smcat/Image2007/ available on the Third Party Missions Dissemination Service.",
"license": "proprietary"
},
@@ -92013,6 +92091,45 @@
"description": "Provides L3 low resolution (LR) non-time critical (NTC; 60-day latency) altimetry from the Poseidon-4 SAR altimeter on the Sentinel-6A Michael Freilich spacecraft, which includes the unfiltered geophysical sea-state parameters that have been spatially and/or temporally resampled or corrected, including potential averaging over multiple orbits. The S6A NTC product is analogous to the Jason-3 GDR product.",
"license": "proprietary"
},
+ {
+ "id": "JAXAL2InstChecked_4.0",
+ "title": "EarthCARE JAXA L2 Products for Cal/Val Users",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "2024-05-28",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394877-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394877-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/JAXAL2InstChecked_4.0",
+ "description": "This EarthCARE collection is restricted, and contains the following data products: \u00b7 Level 2a: Single-Instrument Geophysical Products These products are derived from individual instrument data onboard EarthCARE. They provide detailed geophysical parameters and properties specific to each instrument's capabilities for example cloud and aerosol properties derived solely from radar or lidar measurements, offering high-resolution insights into atmospheric phenomena. \u00b7 Level 2b: Synergistic Geophysical Products Level 2b products leverage data from multiple EarthCARE instruments to generate comprehensive, synergistic geophysical datasets. By combining measurements from instruments like radar, lidar, and radiometers, these products offer a more integrated view of cloud-aerosol interactions and atmospheric dynamics. Synergistic products provide enhanced accuracy and depth compared to single-instrument outputs, enabling detailed studies of complex atmospheric processes.",
+ "license": "proprietary"
+ },
+ {
+ "id": "JAXAL2Products_5.0",
+ "title": "EarthCARE JAXA L2 Products for the Commissioning Team",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "2024-05-28",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325393702-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325393702-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/JAXAL2Products_5.0",
+ "description": "This EarthCARE collection contains the following data products: Level 2a: Single-Instrument Geophysical Products These products are derived from individual instrument data onboard EarthCARE. They provide detailed geophysical parameters and properties specific to each instrument's capabilities for example cloud and aerosol properties derived solely from radar or lidar measurements, offering high-resolution insights into atmospheric phenomena. Level 2b: Synergistic Geophysical Products Level 2b products leverage data from multiple EarthCARE instruments to generate comprehensive, synergistic geophysical datasets. By combining measurements from instruments like radar, lidar, and radiometers, these products offer a more integrated view of cloud-aerosol interactions and atmospheric dynamics. Synergistic products provide enhanced accuracy and depth compared to single-instrument outputs, enabling detailed studies of complex atmospheric processes.",
+ "license": "proprietary"
+ },
+ {
+ "id": "JAXAL2Validated_3.0",
+ "title": "EarthCARE JAXA L2 Products",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "2024-05-28",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325393729-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325393729-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/JAXAL2Validated_3.0",
+ "description": "This EarthCARE collection contains the following data products: Level 2a: Single-Instrument Geophysical Products These products are derived from individual instrument data onboard EarthCARE. They provide detailed geophysical parameters and properties specific to each instrument's capabilities for example cloud and aerosol properties derived solely from radar or lidar measurements, offering high-resolution insights into atmospheric phenomena. Level 2b: Synergistic Geophysical Products Level 2b products leverage data from multiple EarthCARE instruments to generate comprehensive, synergistic geophysical datasets. By combining measurements from instruments like radar, lidar, and radiometers, these products offer a more integrated view of cloud-aerosol interactions and atmospheric dynamics. Synergistic products provide enhanced accuracy and depth compared to single-instrument outputs, enabling detailed studies of complex atmospheric processes.",
+ "license": "proprietary"
+ },
{
"id": "JCADM_USA_PENGUINS",
"title": "Adelie Penguin ecology",
@@ -92027,7 +92144,7 @@
"license": "proprietary"
},
{
- "id": "JERS-1.OPS.SYC_NA",
+ "id": "JERS-1.OPS.SYC_7.0",
"title": "JERS-1 OPS (Optical Sensor) Very Near Infrared Radiometer (VNIR) System Corrected Products level 1",
"catalog": "ESA STAC Catalog",
"state_date": "1992-08-13",
@@ -92035,12 +92152,12 @@
"bbox": "95, -90, -130, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336918-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336918-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/JERS-1.OPS.SYC_NA",
- "description": "The JERS-1 Optical System (OPS) is composed of a Very Near Infrared Radiometer (VNIR) and a Short Wave Infrared Radiometer (SWIR). The instrument has 8 observable spectral bands from visible to short wave infrared. Data acquired by ESA ground stations The JERS-1 OPS products are available in GeoTIFF format. These products are available only for the VNIR sensor. All four bands are corrected. The correction consists in a vertical and horizontal destriping, the radiometry values are expanded from the range [0,63] to the range [0,255]. No geometrical correction is applied on level 1. The pixel size of approximately 18 x 24.2 metres for raw data is newly dimensioned to 18 x 18 metres for System Corrected data using a cubic convolution algorithm. Disclaimer: Cloud coverage for JERS OPS products has not been computed using an algorithm. The cloud cover assignment was performed manually by operators at the acquisition stations. Due to missing attitude information, the Nadir looking band (band 3) and the corresponding forward looking band (band 4) are not well coregistered, resulting in some accuracy limitations. The quality control was not performed systematically for each frame. A subset of the entire JERS Optical dataset was selected and manually checked. As a result of this, users may occasionally encounter issues with some of the individual products.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/JERS-1.OPS.SYC_7.0",
+ "description": "The JERS-1 Optical System (OPS) is composed of a Very Near Infrared Radiometer (VNIR) and a Short Wave Infrared Radiometer (SWIR). The instrument has 8 observable spectral bands from visible to short wave infrared. Data acquired by ESA ground stations The JERS-1 OPS products are available in GeoTIFF format. These products are available only for the VNIR sensor. All four bands are corrected. The correction consists in a vertical and horizontal destriping, the radiometry values are expanded from the range [0,63] to the range [0,255]. No geometrical correction is applied on level 1. The pixel size of approximately 18 x 24.2 metres for raw data is newly dimensioned to 18 x 18 metres for System Corrected data using a cubic convolution algorithm. Disclaimer: Cloud coverage for JERS OPS products has not been computed using an algorithm. The cloud cover assignment was performed manually by operators at the acquisition stations. Due to missing attitude information, the Nadir looking band (band 3) and the corresponding forward looking band (band 4) are not well coregistered, resulting in some accuracy limitations. The quality control was not performed systematically for each frame. A subset of the entire JERS Optical dataset was selected and manually checked. As a result of this, users may occasionally encounter issues with some of the individual products.",
"license": "proprietary"
},
{
- "id": "JERS-1.SAR.PRI_NA",
+ "id": "JERS-1.SAR.PRI_7.0",
"title": "JERS-1 SAR Level 1 Precision Image",
"catalog": "ESA STAC Catalog",
"state_date": "1992-07-13",
@@ -92048,12 +92165,12 @@
"bbox": "-95, -90, 130, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336919-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336919-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/JERS-1.SAR.PRI_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/JERS-1.SAR.PRI_7.0",
"description": "The JSA_PRI_1P product is comparable to the ESA PRI/IMP images generated for Envisat ASAR and ERS SAR instruments. It is a ground range projected detected image in zero-Doppler SAR coordinates, with a 12.5 metre pixel spacing. It has four overlapping looks in Doppler covering a total bandwidth of 1000Hz, with each look covering a 300Hz bandwidth. Sidelobe reduction is applied to achieve a nominal PSLR of less than -21dB. The image is not geocoded, and terrain distortion (foreshortening and layover) has not been removed. Data acquired by ESA ground stations.",
"license": "proprietary"
},
{
- "id": "JERS-1.SAR.SLC_NA",
+ "id": "JERS-1.SAR.SLC_7.0",
"title": "JERS-1 SAR Level 1 Single Look Complex Image",
"catalog": "ESA STAC Catalog",
"state_date": "1992-07-13",
@@ -92061,8 +92178,8 @@
"bbox": "-95, -90, 130, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336920-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336920-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/JERS-1.SAR.SLC_NA",
- "description": "The JSA_SLC_1P product is comparable to the ESA SLC/IMS images generated for Envisat ASAR and ERS SAR instruments. It is a slant-range projected complex image in zero-Doppler SAR coordinates. The data is sampled in natural units of time in range and along track, with the range pixel spacing corresponding to the reciprocal of the platform ADC rate and the along track spacing to the reciprocal of the PRF. Data is processed to an unweighted Doppler bandwidth of 1000Hz, without sidelobe reduction. The product is suitable for interferometric, calibration and quality analysis applications. Data acquired by ESA ground stations",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/JERS-1.SAR.SLC_7.0",
+ "description": "The JSA_SLC_1P product is comparable to the ESA SLC/IMS images generated for Envisat ASAR and ERS SAR instruments. It is a slant-range projected complex image in zero-Doppler SAR coordinates. The data is sampled in natural units of time in range and along track, with the range pixel spacing corresponding to the reciprocal of the platform ADC rate and the along track spacing to the reciprocal of the PRF. Data is processed to an unweighted Doppler bandwidth of 1000Hz, without sidelobe reduction. The product is suitable for interferometric, calibration and quality analysis applications. Data acquired by ESA ground stations",
"license": "proprietary"
},
{
@@ -93080,7 +93197,7 @@
"license": "proprietary"
},
{
- "id": "KOMPSAT-2.ESA.archive_NA",
+ "id": "KOMPSAT-2.ESA.archive_9.0",
"title": "KOMPSAT-2 ESA archive",
"catalog": "ESA STAC Catalog",
"state_date": "2007-04-18",
@@ -93088,8 +93205,8 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336921-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336921-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/KOMPSAT-2.ESA.archive_NA",
- "description": "Kompsat-2 ESA archive collection is composed by bundle (Panchromatic and Multispectral separated images) products from the Multi-Spectral Camera (MSC) onboard KOMPSAT-2 acquired from 2007 to 2014: 1m resolution for PAN, 4m resolution for MS. Spectral Bands: \u2022 Pan: 500 - 900 nm (locate, identify and measure surface features and objects primarily by their physical appearance) \u2022 MS1 (blue): 450 - 520 nm (mapping shallow water, differentiating soil from vegetation) \u2022 MS2 (green): 520 - 600 nm (differentiating vegetation by health) \u2022 MS3 (red): 630 - 690 nm (differentiating vegetation by species) \u2022 MS4 (near-infrared): 760 - 900 nm (mapping vegetation, mapping vegetation vigor/health, Differentiating vegetation by species)",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/KOMPSAT-2.ESA.archive_9.0",
+ "description": "Kompsat-2 ESA archive collection is composed by bundle (Panchromatic and Multispectral separated images) products from the Multi-Spectral Camera (MSC) onboard KOMPSAT-2 acquired from 2007 to 2014: 1m resolution for PAN, 4m resolution for MS. Spectral Bands: \u2022 Pan: 500 - 900 nm (locate, identify and measure surface features and objects primarily by their physical appearance) \u2022 MS1 (blue): 450 - 520 nm (mapping shallow water, differentiating soil from vegetation) \u2022 MS2 (green): 520 - 600 nm (differentiating vegetation by health) \u2022 MS3 (red): 630 - 690 nm (differentiating vegetation by species) \u2022 MS4 (near-infrared): 760 - 900 nm (mapping vegetation, mapping vegetation vigor/health, Differentiating vegetation by species)",
"license": "proprietary"
},
{
@@ -117676,7 +117793,7 @@
"license": "proprietary"
},
{
- "id": "L1B_Wind_Products_NA",
+ "id": "L1B_Wind_Products_3.0",
"title": "Aeolus preliminary HLOS (horizontal line-of-sight) wind observations for Rayleigh and Mie receivers",
"catalog": "ESA STAC Catalog",
"state_date": "2020-04-20",
@@ -117684,12 +117801,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689596-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689596-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/L1B_Wind_Products_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/L1B_Wind_Products_3.0",
"description": "The Level 1B wind product of the Aeolus mission contains the preliminary HLOS (horizontal line-of-sight) wind observations for Rayleigh and Mie receivers, which are generated in Near Real Time. Standard atmospheric correction (Rayleigh channel), receiver response and bias correction is applied. The product is generated within 3 hours after data acquisition.",
"license": "proprietary"
},
{
- "id": "L2B_Wind_Products_NA",
+ "id": "L2B_Wind_Products_3.0",
"title": "Aeolus Scientific L2B Rayleigh/Mie wind product",
"catalog": "ESA STAC Catalog",
"state_date": "2020-04-20",
@@ -117697,12 +117814,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689544-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689544-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/L2B_Wind_Products_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/L2B_Wind_Products_3.0",
"description": "The Level 2B wind product of the Aeolus mission is a geo-located consolidated HLOS (horizontal line-of-sight) wind observation with actual atmospheric correction applied to Rayleigh channel. The product is generated by within 3 hours after data acquisition.",
"license": "proprietary"
},
{
- "id": "L2C_Wind_products_NA",
+ "id": "L2C_Wind_products_5.0",
"title": "Aeolus Level 2C assisted wind fields resulting from NWP Numerical Weather Prediction assimilation processing",
"catalog": "ESA STAC Catalog",
"state_date": "2020-07-09",
@@ -117710,12 +117827,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2619280864-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2619280864-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/L2C_Wind_products_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/L2C_Wind_products_5.0",
"description": "The Level 2C wind product of the Aeolus mission provides ECMWF analysis horizontal wind vectors at the geolocations of assimilated L2B HLOS wind components. The L2C can therefore be described as an Aeolus-assisted horizontal wind vector product. The L2C is a distinct product, however the L2C and L2B share a common Earth Explorer file template, with the L2C being a superset of the L2B. The L2C consists of extra datasets appended to the L2B product with information which are relevant to the data assimilation of the L2B winds.",
"license": "proprietary"
},
{
- "id": "L2SW_Open_NA",
+ "id": "L2SW_Open_3.0",
"title": "SMOS NRT L2 Swath Wind Speed",
"catalog": "ESA STAC Catalog",
"state_date": "2018-05-01",
@@ -117723,12 +117840,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689620-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689620-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/L2SW_Open_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/L2SW_Open_3.0",
"description": "SMOS retrieved surface wind speed gridded maps (with a spatial sampling of 1/4 x 1/4 degrees) are available in NetCDF format. Each product contains parts of ascending and descending orbits and it is generated by Ifremer, starting from the SMOS L1B data products, in Near Real Time i.e. within 4 to 6 hours from sensing time. Before using this dataset, please check the read-me-first note available in the Resources section below.",
"license": "proprietary"
},
{
- "id": "L3SW_Open_NA",
+ "id": "L3SW_Open_4.0",
"title": "SMOS L3 Daily Wind Speed",
"catalog": "ESA STAC Catalog",
"state_date": "2018-05-01",
@@ -117736,7 +117853,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689536-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689536-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/L3SW_Open_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/L3SW_Open_4.0",
"description": "SMOS L3WS products are daily composite maps of the collected SMOS L2 swath wind products for a specific day, provided with the same grid than the Level 2 wind data (SMOS L2WS NRT) but separated into ascending and descending passes. This product is available the day after sensing from Ifremer, in NetCDF format. Before using this dataset, please check the read-me-first note available in the Resources section below.",
"license": "proprietary"
},
@@ -117780,20 +117897,20 @@
"license": "proprietary"
},
{
- "id": "L3_FT_Open_NA",
+ "id": "L3_FT_Open_6.0",
"title": "SMOS Soil Freeze and Thaw State",
"catalog": "ESA STAC Catalog",
- "state_date": "2010-07-01",
+ "state_date": "2010-06-01",
"end_date": "",
"bbox": "-180, 0, 180, 85",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689470-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689470-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/L3_FT_Open_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/L3_FT_Open_6.0",
"description": "The SMOS Level 3 Freeze and Thaw (F/T) product provides daily information on the soil state in the Northern Hemisphere based on SMOS observations and associated ancillary data. Daily products, in NetCDF format, are generated by the Finnish Meteorological Institute (FMI) and are available from 2010 onwards. The processing algorithm makes use of gridded Level 3 brightness temperatures provided by CATDS (https://www.catds.fr). The data is provided in the Equal-Area Scalable Earth Grid (EASE2-Grid), at 25 km x 25 km resolution. For an optimal exploitation of this dataset, please refer to the Resources section below to access Product Specifications, read-me-first notes, etc.",
"license": "proprietary"
},
{
- "id": "L3_SIT_Open_NA",
+ "id": "L3_SIT_Open_6.0",
"title": "SMOS Level 3C Sea Ice Thickness",
"catalog": "ESA STAC Catalog",
"state_date": "2010-10-15",
@@ -117801,12 +117918,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336922-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336922-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/L3_SIT_Open_NA",
- "description": "The SMOS Level 3 Sea Ice Thickness product, in NetCDF format, provides daily estimations of SMOS-retrieved sea ice thickness (and its uncertainty) at the edge of the Arctic Ocean during the October-April (winter) season, from year 2010 onwards. The sea ice thickness is retrieved from the SMOS L1C product, up to a depth of approximately 0.5-1 m, depending on the ice temperature and salinity. Daily maps, projected on polar stereographic grid of 12.5 km, are generated by the Alfred Wegener Institut (AWI). This product is complementary with sea ice thickness measurements from ESA's CryoSat and Copernicus Sentinel-3 missions.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/L3_SIT_Open_6.0",
+ "description": "The SMOS Level 3 Sea Ice Thickness product, in NetCDF format, provides daily estimations of SMOS-retrieved sea ice thickness (and its uncertainty) at the edge of the Arctic Ocean during the October-April (winter) season, from year 2010 onwards. The sea ice thickness is retrieved from the SMOS L1C product, up to a depth of approximately 0.5-1 m, depending on the ice temperature and salinity. Daily maps, projected on polar stereographic grid of 12.5 km, are generated by the Alfred Wegener Institut (AWI). This product is complementary with sea ice thickness measurements from ESA's CryoSat and Copernicus Sentinel-3 missions.",
"license": "proprietary"
},
{
- "id": "L4WR_Open_NA",
+ "id": "L4WR_Open_3.0",
"title": "SMOS Tropical Cyclone Wind Radii Fixes",
"catalog": "ESA STAC Catalog",
"state_date": "2018-05-01",
@@ -117814,12 +117931,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689492-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689492-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/L4WR_Open_NA",
- "description": "The SMOS WRF product is available in Near Real Time to support tropical cyclones (TC) forecasts. It is generated within 4 to 6 hours from sensing from the SMOS L2 swath wind speed products, in the so-called \"Fix (F-deck)\" format compatible with the US Navy's ATCF (Automated Tropical Cyclone Forecasting) System. The SMOS WRF \"fixes\" to the best-track forecasts contain: the SMOS 10-min maximum-sustained winds (in knots) and wind radii (in nautical miles) for the 34 kt (17 m/s), 50 kt (25 m/s) and 64 kt (33 m/s) winds per geographical storm quadrants, and for each SMOS pass intercepting a TC in all the active ocean basins.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/L4WR_Open_3.0",
+ "description": "The SMOS WRF product is available in Near Real Time to support tropical cyclones (TC) forecasts. It is generated within 4 to 6 hours from sensing from the SMOS L2 swath wind speed products, in the so-called "Fix (F-deck)" format compatible with the US Navy's ATCF (Automated Tropical Cyclone Forecasting) System. The SMOS WRF "fixes" to the best-track forecasts contain: the SMOS 10-min maximum-sustained winds (in knots) and wind radii (in nautical miles) for the 34 kt (17 m/s), 50 kt (25 m/s) and 64 kt (33 m/s) winds per geographical storm quadrants, and for each SMOS pass intercepting a TC in all the active ocean basins.",
"license": "proprietary"
},
{
- "id": "L4_SIT_Open_NA",
+ "id": "L4_SIT_Open_5.0",
"title": "SMOS-CryoSat L4 Sea Ice Thickness",
"catalog": "ESA STAC Catalog",
"state_date": "2010-11-15",
@@ -117827,7 +117944,7 @@
"bbox": "-180, -16.6, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689655-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689655-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/L4_SIT_Open_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/L4_SIT_Open_5.0",
"description": "The SMOS-CryoSat merged Sea Ice Thickness Level 4 product, in NetCDF format, is based on estimates from both the MIRAS and the SIRAL instruments, with a significant reduction in the relative uncertainty for the thickness of the thin ice. A weekly averaged product is generated every day by the Alfred Wegener Institut (AWI), by merging the weekly AWI CryoSat-2 sea ice product and the daily SMOS sea ice thickness retrieval. All grids are projected onto the 25 km EASE2 Grid, based on a polar aspect spherical Lambert azimuthal equal-area projection. The grid dimension is 5400 x 5400 km, equal to a 432 x 432 grid centered on the geographic Pole. Coverage is limited to the October-April (winter) period for the Northern Hemisphere, due to the melting season, from year 2010 onwards.",
"license": "proprietary"
},
@@ -118105,7 +118222,7 @@
"license": "proprietary"
},
{
- "id": "LANDSAT.ETM.GTC_NA",
+ "id": "LANDSAT.ETM.GTC_8.0",
"title": "Landsat ETM+ ESA archive",
"catalog": "ESA STAC Catalog",
"state_date": "1999-07-09",
@@ -118113,25 +118230,12 @@
"bbox": "-60, -20, 60, 80",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1532648148-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1532648148-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/LANDSAT.ETM.GTC_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/LANDSAT.ETM.GTC_8.0",
"description": "This dataset contains all the Landsat 7 Enhanced Thematic Mapper high-quality ortho-rectified L1T dataset (or L1Gt where not enough GCPs are available) over Kiruna, Maspalomas, Matera and Neustrelitz visibility masks. The Landsat 7 ETM+ scenes typically covers 185 x 170 km. A standard full scene is nominally centred on the intersection between a Path and Row (the actual image centre can vary by up to 100m). Each band requires 50MB (uncompressed), and Band 8 requires 200MB (panchromatic band with resolution of 15m opposed to 30m).",
"license": "proprietary"
},
{
- "id": "LANDSAT.OLI-TIRS.L1T_L1GT_NA",
- "title": "Landsat 8 OLI-TIRS European Coverage",
- "catalog": "ESA STAC Catalog",
- "state_date": "2014-12-31",
- "end_date": "",
- "bbox": "-20, -35, 35, 75",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336923-ESA.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336923-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/LANDSAT.OLI-TIRS.L1T_L1GT_NA",
- "description": "The European coverage of Landsat 8 data since the beginning of the mission until December 2014 is available on the Landsat 8 portal. Data shown on the portal: portal are reprocessed (Tier 1 and Tier 2) products acquired at ESA receiving stations (Neustrelitz, Matera and Kiruna visibility masks).: You can find the most recent data (from 2015 onwards) in the Landsat8 European Coverage Collection 2 Level 1 and Level2; as soon as the new collection is completely uploaded and the entire mission is covered, the former dissemination system for Collection 1 dataset will be dismissed. Landsat 8 level 1 products combine data from the two Landsat instruments, OLI and TIRS. The level 1 products generated can be either L1T or L1gT (30m resolution, 170 km x 185 km scene size): \u2022 L1T - Orthorectified products Level 1T data products consist of radiometrically corrected image data derived from L0 data scaled to at-aperture spectral radiance or reflectance that are resampled for registration to a cartographic projection (referenced to the WGS84, G873 or current version). The L1T product is orthorectified, and corrected for terrain relief. The geometric corrections use observatory ephemeris data and ground control points; DEM data is used to correct for terrain relief. \u2022 L1gT - Geometrically corrected products L1gT data products consist of L0 product data with systematic radiometric, geometric and terrain corrections applied and resampled for registration to a cartographic projection, referenced to the WGS84, G873, or current version. L1gT data products assume the use of on-board positional information or definitive ephemeris, as well as the use of controlled elevation data to correct for parallax errors. In case of insufficient GCP, caused by extensive snow/cloud cover, which makes the orthorectification impossible, products of this level are produced instead of L1T.",
- "license": "proprietary"
- },
- {
- "id": "LANDSAT.TM.GTC_NA",
+ "id": "LANDSAT.TM.GTC_9.0",
"title": "Landsat TM ESA archive",
"catalog": "ESA STAC Catalog",
"state_date": "1984-04-06",
@@ -118139,8 +118243,8 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1532648149-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1532648149-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/LANDSAT.TM.GTC_NA",
- "description": "This dataset contains all the Landsat 5 Thematic Mapper high-quality ortho-rectified L1T dataset acquired by ESA over the Fucino, Matera, Kiruna and Maspalomas visibility masks, as well as campaign data over Malindi, Bishkek, Chetumal, Libreville and O'Higgins. The acquired Landsat TM scene covers approximately 183 x 172.8 km. A standard full scene is nominally centred on the intersection between a path and row (the actual image centre can vary by up to 100m). A full image is composed of 6920 pixels x 5760 lines and each band requires 40 Mbytes of storage space (uncompressed) at 30m spatial resolution in the VIS, NIR and SWIR as well as 120m in the TIR spectral range.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/LANDSAT.TM.GTC_9.0",
+ "description": "This dataset contains all the Landsat 5 Thematic Mapper high-quality ortho-rectified L1T dataset acquired by ESA over the Fucino, Matera, Kiruna and Maspalomas visibility masks, as well as campaign data over Malindi, Bishkek, Chetumal, Libreville and O'Higgins. The acquired Landsat TM scene covers approximately 183 x 172.8 km. A standard full scene is nominally centred on the intersection between a path and row (the actual image centre can vary by up to 100m). A full image is composed of 6920 pixels x 5760 lines and each band requires 40 Mbytes of storage space (uncompressed) at 30m spatial resolution in the VIS, NIR and SWIR as well as 120m in the TIR spectral range.",
"license": "proprietary"
},
{
@@ -119522,7 +119626,7 @@
"license": "proprietary"
},
{
- "id": "LEVEL_1C__3_NA",
+ "id": "LEVEL_1C__3_5.0",
"title": "Proba-V 1Km, 333m, and 100m products",
"catalog": "ESA STAC Catalog",
"state_date": "2013-11-28",
@@ -119530,8 +119634,8 @@
"bbox": "-180, -56, 180, 75",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336924-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336924-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/LEVEL_1C__3_NA",
- "description": "The Proba-V VEGETATION Raw products (Level 1C/P) and synthesis products (Level 3, S1 = daily, S5 = 5 days, S10 = decade) ensure coverage of all significant landmasses worldwide with, in the case of a 10-day synthesis product, a minimum effect of cloud cover, resulting from selection of cloud-free acquisitions during the 10-day period. It ensures a daily coverage between Lat. 35\u00b0N and 75\u00b0N, and between 35\u00b0S and 56\u00b0S, and a full coverage every two days at equator. The VEGETATION instrument is pre-programmed with an indefinite repeated sequence of acquisitions. This nominal acquisition scenario allows a continuous series of identical products to be generated, aiming to map land cover and vegetation growth across the entire planet every two days.Products overview \u2022 Projection: Plate carr\u00e9e projection \u2022 Spectral bands: All 4 + NDVI \u2022 Format: HDF5 & GeoTiFF The Proba-V VEGETATION Level 3 synthesis products are divided into so called granules, each measuring 10 degrees x 10 degrees, each granule being delivered as a single file. Level 3 products are: - Syntesys S1, with resolution 100m (TOA, TOC and TOC NDVI reflectance), 333m (TOA and TOC reflectance) and 1km (TOA and TOC reflectance) - Syntesys S5, with resolution 100m (TOA, TOC and TOC NDVI reflectance) - Syntesys S10, with resolution 333m (TOC and TOC NDVI reflectance) and 1km (TOC and TOC NDVI reflectance)",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/LEVEL_1C__3_5.0",
+ "description": "The Proba-V VEGETATION Raw products (Level 1C/P) and synthesis products (Level 3, S1 = daily, S5 = 5 days, S10 = decade) ensure coverage of all significant landmasses worldwide with, in the case of a 10-day synthesis product, a minimum effect of cloud cover, resulting from selection of cloud-free acquisitions during the 10-day period. It ensures a daily coverage between Lat. 35\u00b0N and 75\u00b0N, and between 35\u00b0S and 56\u00b0S, and a full coverage every two days at equator. The VEGETATION instrument is pre-programmed with an indefinite repeated sequence of acquisitions. This nominal acquisition scenario allows a continuous series of identical products to be generated, aiming to map land cover and vegetation growth across the entire planet every two days.Products overview \u2022 Projection: Plate carr\u00e9e projection \u2022 Spectral bands: All 4 + NDVI \u2022 Format: HDF5 & GeoTiFF The Proba-V VEGETATION Level 3 synthesis products are divided into so called granules, each measuring 10 degrees x 10 degrees, each granule being delivered as a single file. Level 3 products are: - Syntesys S1, with resolution 100m (TOA, TOC and TOC NDVI reflectance), 333m (TOA and TOC reflectance) and 1km (TOA and TOC reflectance) - Syntesys S5, with resolution 100m (TOA, TOC and TOC NDVI reflectance) - Syntesys S10, with resolution 333m (TOC and TOC NDVI reflectance) and 1km (TOC and TOC NDVI reflectance)",
"license": "proprietary"
},
{
@@ -121082,7 +121186,46 @@
"license": "proprietary"
},
{
- "id": "Landsat8.Collection2.European.Coverage_NA",
+ "id": "Landsat5TMEuropeandNorthAfricaCoverage198485_5.0",
+ "title": "Landsat 5 TM Europe and North Africa Coverage 1984-85",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "1984-04-07",
+ "end_date": "1985-12-03",
+ "bbox": "-28, 20, 43, 73",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325393802-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325393802-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Landsat5TMEuropeandNorthAfricaCoverage198485_5.0",
+ "description": "This collections contains Landsat 5 Thematic Mapper (TM) imagery acquired over Europe and North Africa from April 1984 to December 1985. The available data products have a cloud cover percentage of less than 20%. The acquired Landsat 5 TM scenes have a footprint of approximately 183 x 172.8 km. A standard full scene is nominally centred on the intersection between a path and row (the actual image centre may deviate by up to 100 m). The data are system corrected.",
+ "license": "proprietary"
+ },
+ {
+ "id": "Landsat5TMEuropeandNorthAfricaCoverage198689_4.0",
+ "title": "Landsat 5 TM Europe and North Africa Coverage 1986-89",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "1986-01-08",
+ "end_date": "1989-11-30",
+ "bbox": "-28, 20, 43, 73",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394313-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394313-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Landsat5TMEuropeandNorthAfricaCoverage198689_4.0",
+ "description": "This collections contains Landsat 5 Thematic Mapper (TM) imagery acquired over Europe and North Africa from January 1986 to November 1989. The available data products have a cloud cover percentage of less than 20%. The acquired Landsat 5 TM scenes have a footprint of approximately 183 x 172.8 km. A standard full scene is nominally centred on the intersection between a path and row (the actual image centre may deviate by up to 100 m). The data are system corrected.",
+ "license": "proprietary"
+ },
+ {
+ "id": "Landsat5TMEuropeandNorthAfricaCoverage199598_4.0",
+ "title": "Landsat 5 TM Europe and North Africa Coverage 1995-98",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "1995-01-02",
+ "end_date": "1998-12-26",
+ "bbox": "-28, 20, 43, 73",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394552-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394552-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Landsat5TMEuropeandNorthAfricaCoverage199598_4.0",
+ "description": "This collections contains Landsat 5 Thematic Mapper (TM) imagery acquired over Europe and North Africa from January 1995 to December 1998. The available data products have a cloud cover percentage of less than 20%. The acquired Landsat 5 TM scenes have a footprint of approximately 183 x 172.8 km. A standard full scene is nominally centred on the intersection between a path and row (the actual image centre may deviate by up to 100 m). The data are system corrected.",
+ "license": "proprietary"
+ },
+ {
+ "id": "Landsat8.Collection2.European.Coverage_8.0",
"title": "Landsat 8 Collection 2 European Coverage",
"catalog": "ESA STAC Catalog",
"state_date": "2015-01-01",
@@ -121090,8 +121233,8 @@
"bbox": "-20, -35, 35, 75",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2241716601-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2241716601-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Landsat8.Collection2.European.Coverage_NA",
- "description": "This dataset contains the European Coverage of Landsat 8 Collection 2 data, both Level 1 and Level 2, since the beginning of the mission. Landsat 8 Collection 2 is the result of reprocessing effort on the archive and on fresh products with significant improvement with respect to Collection 1 on data quality, obtained by means of advancements in data processing, algorithm development. The primary characteristic is a relevant improvement in the absolute geolocation accuracy (now re-baselined to the European Space Agency Copernicus Sentinel-2 Global Reference Image, GRI) but includes also updated digital elevation modelling sources, improved Radiometric Calibration (even correction for the TIRS striping effect), enhanced Quality Assessment Bands, updated and consistent metadata files, usage of Cloud Optimized Georeferenced (COG) Tagged Image File Format. Landsat 8 level 1 products combine data from the 2 Landsat instruments, OLI and TIRS. The level 1 products generated can be either L1TP or L1GT: \u2022 L1TP - Level 1 Precision Terrain (Corrected) (L1T) products: Radiometrically calibrated and orthorectified using ground control points (GCPs) and digital elevation model (DEM) data to correct for relief displacement. The highest quality Level-1 products suitable for pixel-level time series analysis. GCPs used for L1TP correction are derived from the Global Land Survey 2000 (GLS2000) data set. \u2022 L1GT - Level 1 Systematic Terrain (Corrected) (L1GT) products: L1GT data products consist of L0 product data with systematic radiometric, geometric and terrain corrections applied and resampled for registration to a cartographic projection, referenced to the WGS84, G873, or current version. The dissemination server contains three different classes of Level1 products \u2022 Real Time (RT): Newly acquired Landsat 8 OLI/TIRS data are processed upon downlink but use an initial TIRS line-of-sight model parameters; the data is made available in less than 12 hours (4-6 hours typically). Once the data have been reprocessed with the refined TIRS parameters, the products are transitioned to either Tier 1 or Tier 2 and removed from the Real-Time tier (in 14-16 days). \u2022 Tier 1 (T1): Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series analysis. Tier 1 includes Level-1 Precision and Terrain (L1TP) corrected data that have well-characterized radiometry and are inter-calibrated across the different Landsat instruments. The georegistration of Tier 1 scenes is consistent and within prescribed image-to-image tolerances of \u2266 12-meter radial root mean square error (RMSE). \u2022 Tier 2 (T2): Landsat scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. Tier 2 scenes adhere to the same radiometric standard as Tier 1 scenes, but do not meet the Tier 1 geometry specification due to less accurate orbital information (specific to older Landsat sensors), significant cloud cover, insufficient ground control, or other factors. This includes Systematic Terrain (L1GT) and Systematic (L1GS) processed data. Landsat 8 level 2 products are generated from L1GT and L1TP Level 1 products that meet the <76 degrees Solar Zenith Angle constraint and include the required auxiliary data inputs to generate a scientifically viable product. The data are available a couple of days after the Level1 T1/T2. The level 2 products generated can be L2SP or L2SR: \u2022 L2SP - Level 2 Science Products (L2SP) products: include Surface Reflectance (SR), Surface Temperature (ST), ST intermediate bands, an angle coefficients file, and Quality Assessment (QA) Bands. \u2022 L2SR - Level 2 Surface Reflectance (L2SR) products: include Surface Reflectance (SR), an angle coefficients file, and Quality Assessment (QA) Bands; it is generated if ST could not be generated Two different categories of Level 1 products are offered: LC with Optical, Thermal and Quality Map images, LO with Optical and Quality Map images (Thermal not available). For the Level 2 data, only LC combined products are generated",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Landsat8.Collection2.European.Coverage_8.0",
+ "description": "This dataset contains the European Coverage of Landsat 8 Collection 2 data, both Level 1 and Level 2, since the beginning of the mission. Landsat 8 Collection 2 is the result of reprocessing effort on the archive and on fresh products with significant improvement with respect to Collection 1 on data quality, obtained by means of advancements in data processing, algorithm development. The primary characteristic is a relevant improvement in the absolute geolocation accuracy (now re-baselined to the European Space Agency Copernicus Sentinel-2 Global Reference Image, GRI) but includes also updated digital elevation modelling sources, improved Radiometric Calibration (even correction for the TIRS striping effect), enhanced Quality Assessment Bands, updated and consistent metadata files, usage of Cloud Optimized Georeferenced (COG) Tagged Image File Format. Landsat 8 level 1 products combine data from the 2 Landsat instruments, OLI and TIRS. The level 1 products generated can be either L1TP or L1GT: \u2022 L1TP - Level 1 Precision Terrain (Corrected) (L1T) products: Radiometrically calibrated and orthorectified using ground control points (GCPs) and digital elevation model (DEM) data to correct for relief displacement. The highest quality Level-1 products suitable for pixel-level time series analysis. GCPs used for L1TP correction are derived from the Global Land Survey 2000 (GLS2000) data set. \u2022 L1GT - Level 1 Systematic Terrain (Corrected) (L1GT) products: L1GT data products consist of L0 product data with systematic radiometric, geometric and terrain corrections applied and resampled for registration to a cartographic projection, referenced to the WGS84, G873, or current version. The dissemination server contains three different classes of Level1 products \u2022 Real Time (RT): Newly acquired Landsat 8 OLI/TIRS data are processed upon downlink but use an initial TIRS line-of-sight model parameters; the data is made available in less than 12 hours (4-6 hours typically). Once the data have been reprocessed with the refined TIRS parameters, the products are transitioned to either Tier 1 or Tier 2 and removed from the Real-Time tier (in 14-16 days). \u2022 Tier 1 (T1): Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series analysis. Tier 1 includes Level-1 Precision and Terrain (L1TP) corrected data that have well-characterized radiometry and are inter-calibrated across the different Landsat instruments. The georegistration of Tier 1 scenes is consistent and within prescribed image-to-image tolerances of \u2266 12-meter radial root mean square error (RMSE). \u2022 Tier 2 (T2): Landsat scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. Tier 2 scenes adhere to the same radiometric standard as Tier 1 scenes, but do not meet the Tier 1 geometry specification due to less accurate orbital information (specific to older Landsat sensors), significant cloud cover, insufficient ground control, or other factors. This includes Systematic Terrain (L1GT) and Systematic (L1GS) processed data. Landsat 8 level 2 products are generated from L1GT and L1TP Level 1 products that meet the <76 degrees Solar Zenith Angle constraint and include the required auxiliary data inputs to generate a scientifically viable product. The data are available a couple of days after the Level1 T1/T2. The level 2 products generated can be L2SP or L2SR: \u2022 L2SP - Level 2 Science Products (L2SP) products: include Surface Reflectance (SR), Surface Temperature (ST), ST intermediate bands, an angle coefficients file, and Quality Assessment (QA) Bands. \u2022 L2SR - Level 2 Surface Reflectance (L2SR) products: include Surface Reflectance (SR), an angle coefficients file, and Quality Assessment (QA) Bands; it is generated if ST could not be generated Two different categories of Level 1 products are offered: LC with Optical, Thermal and Quality Map images, LO with Optical and Quality Map images (Thermal not available). For the Level 2 data, only LC combined products are generated",
"license": "proprietary"
},
{
@@ -121108,28 +121251,28 @@
"license": "proprietary"
},
{
- "id": "LandsatETMCloudFree_NA",
+ "id": "LandsatETMCloudFree_9.0",
"title": "Landsat 7 ETM+ European and Mediterranean Countries Cloud Free Collection",
"catalog": "ESA STAC Catalog",
- "state_date": "1999-07-01",
- "end_date": "2003-04-01",
- "bbox": "20, -25, 50, 75",
+ "state_date": "1999-07-10",
+ "end_date": "2003-05-23",
+ "bbox": "-27, 19, 47, 73",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2547572329-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2547572329-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/LandsatETMCloudFree_NA",
- "description": "This dataset contains the cloud-free products from Landsat 7 Enhanced Thematic Mapper collection acquired over Europe, North Africa and middle East; for each scene only one product is selected, with the minimal cloud coverage. The Landsat 7 ETM+ scenes typically cover 185 x 170 km. A standard full scene is nominally centred on the intersection between a Path and Row (the actual image centre can vary by up to 100m). The data are system corrected.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/LandsatETMCloudFree_9.0",
+ "description": "This dataset contains the cloud-free products from Landsat 7 Enhanced Thematic Mapper collection acquired over Europe, North Africa and middle East; for each scene only one product is selected, with the minimal cloud coverage. The Landsat 7 ETM+ scenes typically cover 185 x 170 km. A standard full scene is nominally centred on the intersection between a Path and Row (the actual image centre can vary by up to 100m). The data are system corrected.",
"license": "proprietary"
},
{
- "id": "LandsatTMCloudFree_NA",
+ "id": "LandsatTMCloudFree_10.0",
"title": "Landsat 5 TM European and Mediterranean Countries Cloud Free Collection",
"catalog": "ESA STAC Catalog",
- "state_date": "1987-04-01",
- "end_date": "1995-08-01",
- "bbox": "20, -25, 50, 75",
+ "state_date": "1986-09-18",
+ "end_date": "1995-09-24",
+ "bbox": "-28, 20, 43, 73",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2547579331-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2547579331-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/LandsatTMCloudFree_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/LandsatTMCloudFree_10.0",
"description": "This dataset contains the cloud-free products from Landsat 5 Thematic Mapper collection acquired over Europe, North Africa and middle East; for each scene only one product is selected, with the minimal cloud coverage. The acquired Landsat TM scene covers approximately 183 x 172.8 km. A standard full scene is nominally centred on the intersection between a path and row (the actual image centre can vary by up to 100 m). The data are system corrected.",
"license": "proprietary"
},
@@ -121147,16 +121290,29 @@
"license": "proprietary"
},
{
- "id": "Landsat_MSS_ESA_Archive_NA",
+ "id": "Landsat_MSS_ESA_Archive_9.0",
"title": "Landsat MSS ESA Archive",
"catalog": "ESA STAC Catalog",
- "state_date": "1975-04-25",
+ "state_date": "1975-04-21",
"end_date": "1993-12-31",
"bbox": "-22, -24, 44, 71",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336926-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336926-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Landsat_MSS_ESA_Archive_NA",
- "description": "This dataset contains all the Landsat 1 to Landsat 5 Multi Spectral Scanner (MSS) high-quality ortho-rectified L1T dataset acquired by ESA over the Fucino, Kiruna (active from April to September only) and Maspalomas (on campaign basis) visibility masks. The acquired Landsat MSS scene covers approximately 183 x 172.8 km. A standard full scene is nominally centred on the intersection between a path and row (the actual image centre can vary by up to 200m). The altitude changed from 917 Km to 705 km and therefore two World Reference Systems (WRS) were. A full image is composed of 3460 pixels x 2880 lines with a pixel size of 60m. Level 1 Geometrically and terrain corrected GTC products (L1T) are available: it is the most accurate level of processing as it incorporates Ground Control Points (GCPs) and a Digital Elevation Model (DEM) to provide systematic geometric and topographic accuracy, with geodetic accuracy dependent on the number, spatial distribution and accuracy of the GCPs over the scene extent, and the resolution of the DEM used.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Landsat_MSS_ESA_Archive_9.0",
+ "description": "This dataset contains all the Landsat 1 to Landsat 5 Multi Spectral Scanner (MSS) high-quality ortho-rectified L1T dataset acquired by ESA over the Fucino, Kiruna (active from April to September only) and Maspalomas (on campaign basis) visibility masks. The acquired Landsat MSS scene covers approximately 183 x 172.8 km. A standard full scene is nominally centred on the intersection between a path and row (the actual image centre can vary by up to 200m). The altitude changed from 917 Km to 705 km and therefore two World Reference Systems (WRS) were. A full image is composed of 3460 pixels x 2880 lines with a pixel size of 60m. Level 1 Geometrically and terrain corrected GTC products (L1T) are available: it is the most accurate level of processing as it incorporates Ground Control Points (GCPs) and a Digital Elevation Model (DEM) to provide systematic geometric and topographic accuracy, with geodetic accuracy dependent on the number, spatial distribution and accuracy of the GCPs over the scene extent, and the resolution of the DEM used.",
+ "license": "proprietary"
+ },
+ {
+ "id": "Landsat_RBV_8.0",
+ "title": "Landsat RBV",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "1978-11-01",
+ "end_date": "2018-08-01",
+ "bbox": "20, -90, 50, 75",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325393983-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325393983-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Landsat_RBV_8.0",
+ "description": "This dataset contains Landsat 3 Return Beam Vidicon (RBV) products, acquired by ESA by the Fucino ground station over its visibility mask. The data (673 scenes) are the result of the digitalization of the original 70 millimetre (mm) black and white film rolls. The RBV instrument was mounted on board the Landsat 1 to 3 satellites between 1972 and 1983, with 80 meter resolution. Three independent co-aligned television cameras, one for each spectral band (band 1: blue-green, band 2: yellow-red, band 3: NIR), constituted this instrument. The RBV system was redesigned for Landsat 3 to use two cameras operating in one broad spectral band (green to near-infrared; 0.505\u20130.750 \u00b5m), mounted side-by-side, with panchromatic spectral response and higher spatial resolution than on Landsat-1 and Landsat-2. Each of the cameras produced a swath of about 90 km (for a total swath of 180 km), with a spatial resolution of 40 m.",
"license": "proprietary"
},
{
@@ -121212,7 +121368,7 @@
"license": "proprietary"
},
{
- "id": "Level_2A_aerosol_cloud_optical_products_NA",
+ "id": "Level_2A_aerosol_cloud_optical_products_3.0",
"title": "Aeolus L2A Aerosol/Cloud optical product",
"catalog": "ESA STAC Catalog",
"state_date": "2021-05-26",
@@ -121220,8 +121376,8 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2207498185-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2207498185-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Level_2A_aerosol_cloud_optical_products_NA",
- "description": "The Level 2A aerosol/cloud optical products of the Aeolus mission include geo-located consolidated backscatter and extinction profiles, backscatter-to-extinction coefficient, LIDAR ratio, scene classification, heterogeneity index and attenuated backscatter signals. Resolution - Horizontal resolution of L2A optical properties at observation scale (~87 km); Exceptions are group properties (horizontal accumulation of measurements from ~3 km to ~87 km) and attenuated backscatters (~3 km); Note: the resolution of \"groups\" in the L2A can only go down to 5 measurements at the moment, i.e. ~15 km horizontal resolution. This could be configured to go to 1 measurement - Vertical resolution 250-2000 m (Defined by Range Bin Settings https://earth.esa.int/eogateway/instruments/aladin/overview-of-the-main-wind-rbs-changes).",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Level_2A_aerosol_cloud_optical_products_3.0",
+ "description": "The Level 2A aerosol/cloud optical products of the Aeolus mission include geo-located consolidated backscatter and extinction profiles, backscatter-to-extinction coefficient, LIDAR ratio, scene classification, heterogeneity index and attenuated backscatter signals. Resolution - Horizontal resolution of L2A optical properties at observation scale (~87 km); Exceptions are group properties (horizontal accumulation of measurements from ~3 km to ~87 km) and attenuated backscatters (~3 km); Note: the resolution of "groups" in the L2A can only go down to 5 measurements at the moment, i.e. ~15 km horizontal resolution. This could be configured to go to 1 measurement - Vertical resolution 250-2000 m (Defined by Range Bin Settings https://earth.esa.int/eogateway/instruments/aladin/overview-of-the-main-wind-rbs-changes).",
"license": "proprietary"
},
{
@@ -126113,7 +126269,7 @@
"license": "proprietary"
},
{
- "id": "MER.RR__1P_NA",
+ "id": "MER.RR__1P_5.0",
"title": "Envisat MERIS Reduced Resolution - Level 1 [MER_RR__1P/ME_1_RRG]",
"catalog": "ESA STAC Catalog",
"state_date": "2002-04-29",
@@ -126121,12 +126277,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336927-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336927-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/MER.RR__1P_NA",
- "description": "The MERIS Level 1 Reduced Resolution (RR) product contains the Top of Atmosphere (TOA) upwelling spectral radiance measures at reduced resolution. The in-band reference irradiances for the 15 MERIS bands are computed by averaging the in-band solar irradiance of each pixel. The in-band solar irradiance of each pixel is computed by integrating the reference solar spectrum with the band-pass of each pixel. The MERIS RR Level 1 product has Sentinel 3-like format starting from the 4th reprocessing data released to users in July 2020. Each measurement and annotation data file is in NetCDF 4. The Level 1 product is composed of 22 measurements data files: 15 files containing radiances at each band (one band per file), accompanied by the associated error estimates, and 7 annotation data files. The band-pass of each pixel is derived from on-ground and in-flight characterisation via an instrument model. The values \"Band wavelength\" and \"Bandwidth\" provided in the Manifest file of the Level 1 products are the averaged band-pass of each pixel over the instrument field of view. The Auxiliary data used are listed in the Manifest file associated to each product. MERIS was operating continuously on the day side of the Envisat orbit (descending track). RR data was acquired over 43.5 minutes in each orbit, i.e. 80% of the descending track.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/MER.RR__1P_5.0",
+ "description": "The MERIS Level 1 Reduced Resolution (RR) product contains the Top of Atmosphere (TOA) upwelling spectral radiance measures at reduced resolution. The in-band reference irradiances for the 15 MERIS bands are computed by averaging the in-band solar irradiance of each pixel. The in-band solar irradiance of each pixel is computed by integrating the reference solar spectrum with the band-pass of each pixel. The MERIS RR Level 1 product has Sentinel 3-like format starting from the 4th reprocessing data released to users in July 2020. Each measurement and annotation data file is in NetCDF 4. The Level 1 product is composed of 22 measurements data files: 15 files containing radiances at each band (one band per file), accompanied by the associated error estimates, and 7 annotation data files. The band-pass of each pixel is derived from on-ground and in-flight characterisation via an instrument model. The values "Band wavelength" and "Bandwidth" provided in the Manifest file of the Level 1 products are the averaged band-pass of each pixel over the instrument field of view. The Auxiliary data used are listed in the Manifest file associated to each product. MERIS was operating continuously on the day side of the Envisat orbit (descending track). RR data was acquired over 43.5 minutes in each orbit, i.e. 80% of the descending track.",
"license": "proprietary"
},
{
- "id": "MER.RR__2P_NA",
+ "id": "MER.RR__2P_8.0",
"title": "Envisat MERIS Reduced Resolution Geophysical Product - Level 2 [MER_RR__2P]",
"catalog": "ESA STAC Catalog",
"state_date": "2002-04-29",
@@ -126134,7 +126290,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2207506352-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2207506352-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/MER.RR__2P_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/MER.RR__2P_8.0",
"description": "MERIS RR Level 2 is a Reduced Resolution (RR) Geophysical product for Ocean, Land and Atmosphere. Each MERIS Level 2 geophysical product is derived from a MERIS Level 1 product and auxiliary parameter files specific to the MERIS Level 2 processing. The MERIS RR Level 2 product has Sentinel 3-like format starting from the 4th reprocessing data released to users in July 2020. The data package is composed of NetCDF 4 files containing instrumental and scientific measurements, and a Manifest file, which contains metadata information related to the description of the product. A Level 2 product is composed of 64 measurement files containing mainly: 13 files containing Water-leaving reflectance, 13 files containing Land surface reflectance and 13 files containing the TOA reflectance (for all bands except those dedicated to measurement of atmospheric gas - M11 and M15), and several files containing additional measurement on Ocean, Land and Atmospheric parameters. The Auxiliary data used are listed in the Manifest file associated to each product. MERIS was operating continuously on the day side of the Envisat orbit (descending track). RR data was acquired over 43.5 minutes in each orbit, i.e. 80% of the descending track.",
"license": "proprietary"
},
@@ -126997,7 +127153,7 @@
"license": "proprietary"
},
{
- "id": "MER_FRS_1P_NA",
+ "id": "MER_FRS_1P_8.0",
"title": "Envisat MERIS Full Resolution - Level 1 [MER_FRS_1P/ME_1_FRG]",
"catalog": "ESA STAC Catalog",
"state_date": "2002-05-17",
@@ -127005,12 +127161,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2207506362-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2207506362-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/MER_FRS_1P_NA",
- "description": "The MERIS Level 1 Full Resolution (FR) product contains the Top of Atmosphere (TOA) upwelling spectral radiance measures. The in-band reference irradiances for the 15 MERIS bands are computed by averaging the in-band solar irradiance of each pixel. The in-band solar irradiance of each pixel is computed by integrating the reference solar spectrum with the band-pass of each pixel. The MERIS FR Level 1 product has Sentinel 3-like format starting from the 4th reprocessing data released to users in July 2020. Each measurement and annotation data file is in NetCDF 4. The Level 1 product is composed of 22 data files: 15 files containing radiances at each band (one band per file), accompanied by the associated error estimates, and 7 annotation data files. The 15 sun spectral flux values provided in the instrument data file of the Level 1 products are the in-band reference irradiances adjusted for the Earth-sun distance at the time of measurement. The band-pass of each pixel is derived from on-ground and in-flight characterisation via an instrument model. The values \"Band wavelength\" and \"Bandwidth\" provided in the Manifest file of the Level 1b products are the averaged band-pass of each pixel over the instrument field of view. Auxiliary data are also listed in the Manifest file associated to each product. The Level 1 FR product covers the complete instrument swath. The product duration is not fixed and it can span up to the time interval of the input Level 0 (for a maximum of 20 minutes). Thus the estimated size of the Level 1 FR is dependent on the start/stop time of the acquired segment. During the Envisat mission, acquisition of MERIS Full Resolution data was subject to dedicated planning based on on-demand ordering and coverage of specific areas according to operational recommendations and considerations. See yearly and global density maps to get a better overview of the MERIS FR coverage.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/MER_FRS_1P_8.0",
+ "description": "The MERIS Level 1 Full Resolution (FR) product contains the Top of Atmosphere (TOA) upwelling spectral radiance measures. The in-band reference irradiances for the 15 MERIS bands are computed by averaging the in-band solar irradiance of each pixel. The in-band solar irradiance of each pixel is computed by integrating the reference solar spectrum with the band-pass of each pixel. The MERIS FR Level 1 product has Sentinel 3-like format starting from the 4th reprocessing data released to users in July 2020. Each measurement and annotation data file is in NetCDF 4. The Level 1 product is composed of 22 data files: 15 files containing radiances at each band (one band per file), accompanied by the associated error estimates, and 7 annotation data files. The 15 sun spectral flux values provided in the instrument data file of the Level 1 products are the in-band reference irradiances adjusted for the Earth-sun distance at the time of measurement. The band-pass of each pixel is derived from on-ground and in-flight characterisation via an instrument model. The values "Band wavelength" and "Bandwidth" provided in the Manifest file of the Level 1b products are the averaged band-pass of each pixel over the instrument field of view. Auxiliary data are also listed in the Manifest file associated to each product. The Level 1 FR product covers the complete instrument swath. The product duration is not fixed and it can span up to the time interval of the input Level 0 (for a maximum of 20 minutes). Thus the estimated size of the Level 1 FR is dependent on the start/stop time of the acquired segment. During the Envisat mission, acquisition of MERIS Full Resolution data was subject to dedicated planning based on on-demand ordering and coverage of specific areas according to operational recommendations and considerations. See yearly and global density maps to get a better overview of the MERIS FR coverage.",
"license": "proprietary"
},
{
- "id": "MER_FRS_2P_NA",
+ "id": "MER_FRS_2P_8.0",
"title": "Envisat MERIS Full Resolution - Level 2 [MER_FRS_2P/ME_2_FRG]",
"catalog": "ESA STAC Catalog",
"state_date": "2002-05-17",
@@ -127018,7 +127174,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2207506787-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2207506787-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/MER_FRS_2P_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/MER_FRS_2P_8.0",
"description": "MERIS FR Level 2 is a Full-Resolution Geophysical product for Ocean, Land and Atmosphere. Each MERIS Level 2 geophysical product is derived from a MERIS Level 1 product and auxiliary parameter files specific to the MERIS Level 2 processing. The MERIS FR Level 2 product has Sentinel 3-like format starting from the 4th reprocessing data released to users in July 2020. The data package is composed of NetCDF 4 files containing instrumental and scientific measurements, and a Manifest file which contains metadata information related to the description of the product. A Level 2 product is composed of 64 measurement files containing: 13 files containing Water-leaving reflectance, 13 files containing Land surface reflectance and 13 files containing the TOA reflectance (for all bands except those dedicated to measurement of atmospheric gas - M11 and M15), and several files containing additional measurement on Ocean, Land and Atmospheric parameters and annotation. The Auxiliary data used are listed in the Manifest file associated to each product. The Level 2 FR product covers the complete instrument swath. The product duration is not fixed and it can span up to the time interval of the input Level 0/Level 1. Thus the estimated size of the Level 2 FR is dependent on the start/stop time of the acquired segment. During the Envisat mission, acquisition of MERIS Full Resolution data was subject to dedicated planning based on on-demand ordering and coverage of specific areas according to operational recommendations and considerations. See yearly and global density maps to get a better overview of the MERIS FR coverage.",
"license": "proprietary"
},
@@ -139867,7 +140023,7 @@
"license": "proprietary"
},
{
- "id": "NASA_OMI_NA",
+ "id": "NASA_OMI_3.0",
"title": "Aura OMI complete NASA dataset",
"catalog": "ESA STAC Catalog",
"state_date": "2004-10-01",
@@ -139875,8 +140031,8 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336929-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336929-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/NASA_OMI_NA",
- "description": "The OMI observations provide the following capabilities and features: \u2022 A mapping of ozone columns at 13 km x 24 km and profiles at 13 km x 48 km \u2022 A measurement of key air quality components: NO2, SO2, BrO, HCHO, and aerosol \u2022 The ability to distinguish between aerosol types, such as smoke, dust and sulfates \u2022 The ability to measure aerosol absorption capacity in terms of aerosol absorption optical depth or single scattering albedo \u2022 A measurement of cloud pressure and coverage \u2022 A mapping of the global distribution and trends in UV-B radiation The OMI data are available in the following four levels: Level 0, Level 1B, Level 2, and Level 3. \u2022 Level 0 products are raw sensor counts. Level 0 data are packaged into two-hour \"chunks\" of observations in the life of the spacecraft (and the OMI aboard it) irrespective of orbital boundaries. They contain orbital swath data. \u2022 Level 1B processing takes Level 0 data and calibrates, geo-locates and packages the data into orbits. They contain orbital swath data. \u2022 Level 2 products contain orbital swath data. \u2022 Level 3 products contain global data that are composited over time (daily or monthly) or over space for small equal angle (latitude longitude) grids covering the whole globe.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/NASA_OMI_3.0",
+ "description": "The OMI observations provide the following capabilities and features: \u2022 A mapping of ozone columns at 13 km x 24 km and profiles at 13 km x 48 km \u2022 A measurement of key air quality components: NO2, SO2, BrO, HCHO, and aerosol \u2022 The ability to distinguish between aerosol types, such as smoke, dust and sulfates \u2022 The ability to measure aerosol absorption capacity in terms of aerosol absorption optical depth or single scattering albedo \u2022 A measurement of cloud pressure and coverage \u2022 A mapping of the global distribution and trends in UV-B radiation The OMI data are available in the following four levels: Level 0, Level 1B, Level 2, and Level 3. \u2022 Level 0 products are raw sensor counts. Level 0 data are packaged into two-hour "chunks" of observations in the life of the spacecraft (and the OMI aboard it) irrespective of orbital boundaries. They contain orbital swath data. \u2022 Level 1B processing takes Level 0 data and calibrates, geo-locates and packages the data into orbits. They contain orbital swath data. \u2022 Level 2 products contain orbital swath data. \u2022 Level 3 products contain global data that are composited over time (daily or monthly) or over space for small equal angle (latitude longitude) grids covering the whole globe.",
"license": "proprietary"
},
{
@@ -142648,19 +142804,6 @@
"description": "NOAA measurements from 1996 to 1999 along the Eastern US coastal region.",
"license": "proprietary"
},
- {
- "id": "NOAA_AVHRR_L1B_LAC_NA",
- "title": "AVHRR Level-1B Local Area Coverage Imagery",
- "catalog": "ESA STAC Catalog",
- "state_date": "1981-01-01",
- "end_date": "2020-12-31",
- "bbox": "-30, 35, 70, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689675-ESA.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689675-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/NOAA_AVHRR_L1B_LAC_NA",
- "description": "This collection is composed of AVHRR L1B products (1.1 km) reprocessed from the NOAA POES and Metop AVHRR sensors data acquired at the University of Dundee and University of Bern ground stations and from the ESA and University of Bern data historical archive. The product format is the NOAA AVHRR Level 1B that combines the AVHRR data from the HRPT stream with ancillary information like Earth location and calibration data which can be applied by the user. Other appended parameters are time codes, quality indicators, solar and satellite angles and telemetry. Two data collections cover the Europe and the neighbouring regions in the period of 1 January 1981 to 31 December 2020 and the acquired data in the context of the 1-KM project in the \u201890s. During the early 1990\u2019s various groups, including the International Geosphere-Biosphere Programme (IGBP), the Commission of the European Communities (CEC), the Moderate Resolution Imaging Spectrometer (MODIS) Science Team and ESA concluded that a global land 1-KM AVHRR data set would have been crucial to study and develop algorithms for several land products for the Earth Observing System. USGS, NOAA, ESA and other non-U.S. AVHRR receiving stations endorsed the initiative to collect a global land 1-km multi-temporal AVHRR data set over all land surfaces using NOAA's TIROS \"afternoon\" polar-orbiting satellite. On the 1st of April 1992, the project officially began up to the end of 1999 with the utilisation of 23 stations worldwide plus the NOAA local area coverage (LAC) on-board recorders. The global land 1-km AVHRR dataset is composed of 5 channels, raw AVHRR dataset at 1.1km resolution from the NOAA-11 and NOAA-14 satellites covering land surfaces, inland water and coastal areas. Spatial coverage: Check the spatial coverage of the collection on a map available on the Third Party Missions Dissemination Service: _$$AVHRR L1B 1.1 KM$$ https://tpm-ds.eo.esa.int/socat/AVHRR_L1B_1_1KM _$$AVHRR L1B LAC Out-of-Europe$$ https://tpm-ds.eo.esa.int/socat/NOAA_AVHRR_L1B_LAC_out-of-Europe",
- "license": "proprietary"
- },
{
"id": "NOAA_CDR_NDVI",
"title": "NOAA Climate Data Record Normalized Difference Vegetation Index",
@@ -144261,7 +144404,7 @@
"license": "proprietary"
},
{
- "id": "NRT_Open_NA",
+ "id": "NRT_Open_4.0",
"title": "SMOS NRT Data Products",
"catalog": "ESA STAC Catalog",
"state_date": "2015-05-09",
@@ -144269,8 +144412,8 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336930-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336930-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/NRT_Open_NA",
- "description": "The SMOS Near Real Time products include Level 1 geo-located brightness temperature and Level 2 geo-located soil moisture estimation. The SMOS NRT L1 Light BUFR product contains brightness temperature geo-located on a reduced Gaussian grid (T511/N256), only for \"land\" pixels but keeping the full angular resolution. The pixels are consolidated in a full orbit dump segment (i.e. around 100 minutes of sensing time) with a maximum size of about 30MB per orbit. Spatial resolution is in the range of 30-50 km. This product is distributed in BUFR format. The SMOS NRT L2 Soil Moisture Neural Network (NN) product provides NRT soil moisture data based on the statistical coefficients estimated by a neural network. It is provided in the SMOS DGG grid and only at the satellite track. It also provides an estimation of the uncertainty of the estimated soil moisture product, and the probability that a soil moisture value is contaminated by Radio Frequency Interference (RFI). This product is distributed in NetCDF format. The L2 data product is also distributed via the EUMETCast Europe Service (DVB), upon registration on the EUMETSAT Earth Observation Portal (https://eoportal.eumetsat.int/userMgmt/gateway.faces). The Ku-band DVB reception station must be situated within the service coverage in Europe. SMOS NRT data is also regularly delivered to the UK Met-Office, then made available to operational agencies and research and development institutes via the WMO GTS Network. For an optimal exploitation of the SMOS NRT products please consult the read-me-first notes available in the Resources section below.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/NRT_Open_4.0",
+ "description": "The SMOS Near Real Time products include Level 1 geo-located brightness temperature and Level 2 geo-located soil moisture estimation. The SMOS NRT L1 Light BUFR product contains brightness temperature geo-located on a reduced Gaussian grid (T511/N256), only for "land" pixels but keeping the full angular resolution. The pixels are consolidated in a full orbit dump segment (i.e. around 100 minutes of sensing time) with a maximum size of about 30MB per orbit. Spatial resolution is in the range of 30-50 km. This product is distributed in BUFR format. The SMOS NRT L2 Soil Moisture Neural Network (NN) product provides NRT soil moisture data based on the statistical coefficients estimated by a neural network. It is provided in the SMOS DGG grid and only at the satellite track. It also provides an estimation of the uncertainty of the estimated soil moisture product, and the probability that a soil moisture value is contaminated by Radio Frequency Interference (RFI). This product is distributed in NetCDF format. The L2 data product is also distributed via the EUMETCast Europe Service (DVB), upon registration on the EUMETSAT Earth Observation Portal (https://eoportal.eumetsat.int/userMgmt/gateway.faces). The Ku-band DVB reception station must be situated within the service coverage in Europe. SMOS NRT data is also regularly delivered to the UK Met-Office, then made available to operational agencies and research and development institutes via the WMO GTS Network. For an optimal exploitation of the SMOS NRT products please consult the read-me-first notes available in the Resources section below.",
"license": "proprietary"
},
{
@@ -147563,29 +147706,29 @@
"license": "proprietary"
},
{
- "id": "NetCDF.GOMOS_UFP_Gridded_NA",
- "title": "Envisat GOMOS Level 2 - Atmospheric constituents profiles - Gridded User Friendly Product [GOMOS_UFP_gridded]",
+ "id": "NetCDF.GOMOS_UFP_6.0",
+ "title": "Envisat GOMOS Level 2 - Atmospheric constituents profiles - User Friendly Product [GOMOS_UFP]",
"catalog": "ESA STAC Catalog",
"state_date": "2002-04-15",
"end_date": "2012-04-08",
"bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336932-ESA.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336932-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/NetCDF.GOMOS_UFP_Gridded_NA",
- "description": "This data product describes atmospheric constituents profiles: In particular the vertical and line density profiles of ozone, NO2, NO3, O2, H2O, air, aerosols, temperature, turbulence. Coverage is as follows: Elevation range: +62 deg to +68 deg Azimuth range: +90 deg to +190 deg (with respect to the flight direction) The GOMOS data are now also available as user friendly products in the NetCDF4-format. These files are Level 2 constituent profiles and are altitude gridded. These Level 2 files include quality flags and are based and collected on a yearly basis.",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336931-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336931-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/NetCDF.GOMOS_UFP_6.0",
+ "description": "This data product describes atmospheric constituents profiles: In particular the vertical and line density profiles of ozone, NO2, NO3, O2, H2O, air, aerosols, temperature, turbulence. Coverage is as follows: Elevation range: +62 deg to +68 deg Azimuth range: +90 deg to +190 deg (with respect to the flight direction) The GOMOS data are now also available as user friendly products in the NetCDF4-format. These files are occultation based (dark and bright) and include all GOMOS Level 2 constituent profiles and HRTP profiles with all the essential parameters. For further information, please see the news published on 1 March 2017 and 1 August 2017.",
"license": "proprietary"
},
{
- "id": "NetCDF.GOMOS_UFP_NA",
- "title": "Envisat GOMOS Level 2 - Atmospheric constituents profiles - User Friendly Product [GOMOS_UFP]",
+ "id": "NetCDF.GOMOS_UFP_Gridded_6.0",
+ "title": "Envisat GOMOS Level 2 - Atmospheric constituents profiles - Gridded User Friendly Product [GOMOS_UFP_gridded]",
"catalog": "ESA STAC Catalog",
"state_date": "2002-04-15",
"end_date": "2012-04-08",
"bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336931-ESA.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336931-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/NetCDF.GOMOS_UFP_NA",
- "description": "This data product describes atmospheric constituents profiles: In particular the vertical and line density profiles of ozone, NO2, NO3, O2, H2O, air, aerosols, temperature, turbulence. Coverage is as follows: Elevation range: +62 deg to +68 deg Azimuth range: +90 deg to +190 deg (with respect to the flight direction) The GOMOS data are now also available as user friendly products in the NetCDF4-format. These files are occultation based (dark and bright) and include all GOMOS Level 2 constituent profiles and HRTP profiles with all the essential parameters. For further information, please see the news published on 1 March 2017 and 1 August 2017.",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336932-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336932-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/NetCDF.GOMOS_UFP_Gridded_6.0",
+ "description": "This data product describes atmospheric constituents profiles: In particular the vertical and line density profiles of ozone, NO2, NO3, O2, H2O, air, aerosols, temperature, turbulence. Coverage is as follows: Elevation range: +62 deg to +68 deg Azimuth range: +90 deg to +190 deg (with respect to the flight direction) The GOMOS data are now also available as user friendly products in the NetCDF4-format. These files are Level 2 constituent profiles and are altitude gridded. These Level 2 files include quality flags and are based and collected on a yearly basis.",
"license": "proprietary"
},
{
@@ -149955,7 +150098,7 @@
"license": "proprietary"
},
{
- "id": "ODIN.SMR_NA",
+ "id": "ODIN.SMR_5.0",
"title": "ODIN SMR data products",
"catalog": "ESA STAC Catalog",
"state_date": "2001-02-01",
@@ -149963,7 +150106,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689700-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689700-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ODIN.SMR_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ODIN.SMR_5.0",
"description": "The latest Odin Sub-Millimetre Radiometer (SMR) datasets have been generated by Chalmers University of Technology and Molflow within the Odin-SMR Recalibration and Harmonisation project (http://odin.rss.chalmers.se/), funded by the European Space Agency (ESA) to create a fully consistent and homogeneous dataset from the 20 years of satellite operations. The Odin satellite was launched in February 2001 as a joint undertaking between Sweden, Canada, France and Finland, and is part of the ESA Third Party Missions (TPM) programme since 2007. The complete Odin-SMR data archive was reprocessed applying a revised calibration scheme and upgraded algorithms. The Level 1b dataset is entirely reconsolidated, while Level 2 products are regenerated for the main mesospheric and stratospheric frequency modes (i.e., FM 01, 02, 08, 13, 14, 19, 21, 22, 24). The resulting dataset represents the first full-mission reprocessing campaign of the mission, which is still in operation.",
"license": "proprietary"
},
@@ -152385,19 +152528,6 @@
"description": "This Level-2G daily global gridded product OMSO2G is based on the pixel level OMI Level-2 SO2 product OMSO2. OMSO2G data product is a special Level-2 gridded product where pixel level products are binned into 0.125x0.125 degree global grids. It contains the data for all scenes that have observation time between UTC times of 00:00:00 and 23:59:59.9999 . All data pixels that fall in a grid box are saved without averaging. Scientists can apply a data filtering scheme of their choice and create new gridded products. The OMSO2G data product contains almost all parameters that are contained in OMSO2 files. For example, in addition to three values of SO2 Vertical column corresponding to three a-priori vertical profiles used in the retrieval algorithm, and ancillary parameters, e.g., UV aerosol index, cloud fraction, cloud pressure, geolocation, solar and satellite viewing angles, and quality flags. The OMSO2G files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3G data product is about 146 Mbytes.",
"license": "proprietary"
},
- {
- "id": "OMSO2_003",
- "title": "OMI/Aura Sulphur Dioxide (SO2) Total Column 1-orbit L2 Swath 13x24 km V003 NRT",
- "catalog": "OMINRT STAC Catalog",
- "state_date": "2004-07-15",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000121-OMINRT.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000121-OMINRT.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/OMINRT/collections/OMSO2_003",
- "description": "The Ozone Monitoring Instrument (OMI) was launched aboard the EOS-Aura satellite on July 15, 2004 (1:38 pm equator crossing time, ascending mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. OMI is a contribution of the Netherlands Space Office (NSO) in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal investigator (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). OMI is designed to monitor stratospheric and tropospheric ozone, clouds, aerosols and smoke from biomass burning, SO2 from volcanic eruptions, and key tropospheric pollutants (HCHO,NO2) and ozone depleting gases (OClO and BrO). OMI sensor counts, calibrated and geolocated radiances, and all derived geophysical atmospheric products will be archived at the NASA Goddard DAAC. The Sulfer Dioxide Product 'OMSO2' from the Aura-OMI is now publicly available from NASA GSFC Earth Sciences (GES) Data and Information Services Center (DISC) for public access. OMSO2 product contains three values of SO2 Vertical column corresponding to three a-priori vertical profiles used in the retrieval algorithm. It also contains quality flags, geolocation and other ancillary information. The shortname for this Level-2 OMI total column SO2 product is OMSO2 and the algorithm leads for this product are NASA/UMBC OMI scientists Drs. Nikolay Krotkov (nickolay.a.krotkov@nasa.gov),Kai Yang(kai.yang@nasa.gov) and Arlin J. Krueger(krueger@umbc.edu). OMSO2 files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMSO2 data product is about 21 Mbytes. On-line spatial and parameter subset options are available during data download A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml A short OMSO2 Readme Document that includes brief algorithm description and documents that provides known data quality related issues are available from the UMBC OMI site ( http://so2.gsfc.nasa.gov/docs.php ) For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/ http://so2.gsfc.nasa.gov/ http://www.knmi.nl/omi/research/documents/. For the full set of Aura products and other atmospheric composition data available from the GES DISC, please see the links below. http://disc.sci.gsfc.nasa.gov/Aura/ http://disc.gsfc.nasa.gov/acdisc/",
- "license": "proprietary"
- },
{
"id": "OMSO2_003",
"title": "OMI/Aura Sulphur Dioxide (SO2) Total Column 1-orbit L2 Swath 13x24 km V003 (OMSO2) at GES DISC",
@@ -152411,6 +152541,19 @@
"description": "The Aura Ozone Monitoring Instrument (OMI) level 2 sulphur dioxide (SO2) total column product (OMSO2) has been updated with a principal component analysis (PCA)-based algorithm (v2) with new SO2 Jacobian lookup tables and a priori profiles that significantly improve retrievals for anthropogenic SO2. The data files (or granules) contain different estimates of the vertical column density (VCD) of SO2 depending on the users investigating anthropogenic or volcanic sources. Files also contain quality flags, geolocation and other ancillary information. The lead scientist for the OMSO2 product is Can Li. The OMSO2 files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the daylit half of an orbit (~53 minutes). There are approximately 14 orbits per day. The resolution of the data is 13x24 km2 at nadir, with a swath width of 2600 km and 60 pixels per scan line every 2 seconds.",
"license": "proprietary"
},
+ {
+ "id": "OMSO2_003",
+ "title": "OMI/Aura Sulphur Dioxide (SO2) Total Column 1-orbit L2 Swath 13x24 km V003 NRT",
+ "catalog": "OMINRT STAC Catalog",
+ "state_date": "2004-07-15",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000121-OMINRT.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000121-OMINRT.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/OMINRT/collections/OMSO2_003",
+ "description": "The Ozone Monitoring Instrument (OMI) was launched aboard the EOS-Aura satellite on July 15, 2004 (1:38 pm equator crossing time, ascending mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. OMI is a contribution of the Netherlands Space Office (NSO) in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal investigator (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). OMI is designed to monitor stratospheric and tropospheric ozone, clouds, aerosols and smoke from biomass burning, SO2 from volcanic eruptions, and key tropospheric pollutants (HCHO,NO2) and ozone depleting gases (OClO and BrO). OMI sensor counts, calibrated and geolocated radiances, and all derived geophysical atmospheric products will be archived at the NASA Goddard DAAC. The Sulfer Dioxide Product 'OMSO2' from the Aura-OMI is now publicly available from NASA GSFC Earth Sciences (GES) Data and Information Services Center (DISC) for public access. OMSO2 product contains three values of SO2 Vertical column corresponding to three a-priori vertical profiles used in the retrieval algorithm. It also contains quality flags, geolocation and other ancillary information. The shortname for this Level-2 OMI total column SO2 product is OMSO2 and the algorithm leads for this product are NASA/UMBC OMI scientists Drs. Nikolay Krotkov (nickolay.a.krotkov@nasa.gov),Kai Yang(kai.yang@nasa.gov) and Arlin J. Krueger(krueger@umbc.edu). OMSO2 files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMSO2 data product is about 21 Mbytes. On-line spatial and parameter subset options are available during data download A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml A short OMSO2 Readme Document that includes brief algorithm description and documents that provides known data quality related issues are available from the UMBC OMI site ( http://so2.gsfc.nasa.gov/docs.php ) For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/ http://so2.gsfc.nasa.gov/ http://www.knmi.nl/omi/research/documents/. For the full set of Aura products and other atmospheric composition data available from the GES DISC, please see the links below. http://disc.sci.gsfc.nasa.gov/Aura/ http://disc.gsfc.nasa.gov/acdisc/",
+ "license": "proprietary"
+ },
{
"id": "OMSO2_CPR_003",
"title": "OMI/Aura Level 2 Sulphur Dioxide (SO2) Trace Gas Column Data 1-Orbit Subset and Collocated Swath along CloudSat V003 (OMSO2_CPR) at GES DISC",
@@ -152450,19 +152593,6 @@
"description": "This Level-2G daily global gridded product OMTO3G is based on the pixel level OMI Level-2 Total Ozone Product OMTO3. The OMTO3 product is from the enhanced TOMS version-8 algorithm that essentially uses the ultraviolet radiance data at 317.5 and 331.2 nm. The OMTO3G data product is a special Level-2 Global Gridded Product where pixel level data are binned into 0.25x0.25 degree global grids. It contains the data for all L2 scenes that have observation time between UTC times of 00:00:00 and 23:59:59.9999. All data pixels that fall in a grid box are saved Without Averaging. Scientists can apply a data filtering scheme of their choice and create new gridded products. The OMTO3G data product contains almost all parameters that are contained in the OMTO3. For example, in addition to the total column ozone it also contains UV aerosol index, cloud fraction, cloud pressure, terrain height, geolocation, solar and satellite viewing angles, and quality flags. The OMTO3G files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3G data product is about 150 Mbytes.",
"license": "proprietary"
},
- {
- "id": "OMTO3_003",
- "title": "OMI/Aura Ozone(O3) Total Column 1-Orbit L2 Swath 13x24 km V003 (OMTO3) at GES DISC",
- "catalog": "GES_DISC STAC Catalog",
- "state_date": "2004-10-01",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1239966818-GES_DISC.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1239966818-GES_DISC.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections/OMTO3_003",
- "description": "The Aura Ozone Monitoring Instrument (OMI) Level-2 Total Column Ozone Data Product OMTO3 (Version 003) is available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access. OMI provides two Level-2 (OMTO3 and OMDOAO3) total column ozone products at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms. This level-2 global total column ozone product (OMTO3) is based on the enhanced TOMS version-8 algorithm that essentially uses the ultraviolet radiance data at 317.5 and 331.2 nm. OMI hyper-spectral measurements help in the corrections for the factors that induce uncertainty in ozone retrievals (e.g., cloud and aerosol, sea-glint effects, profile shape sensitivity, SO2 and other trace gas contamination). In addition to the total ozone values this product also contains some auxiliary derived and ancillary input parameters including N-values, effective Lambertian scene-reflectivity, UV aerosol index, SO2 index, cloud fraction, cloud pressure, ozone below clouds, terrain height, geolocation, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI total column ozone product is OMTO3. The algorithm lead for this product is NASA OMI scientist Dr. Pawan K. Bhartia. The OMTO3 files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMTO3 data product is approximately 35 MB.",
- "license": "proprietary"
- },
{
"id": "OMTO3_003",
"title": "OMI/Aura Ozone (O3) Total Column 1-Orbit L2 Swath 13x24 km V003 NRT",
@@ -152476,6 +152606,19 @@
"description": "The OMI/Aura Level-2 Total Column Ozone Data Product OMTO3 Near Real Time data is made available from the OMI SIPS NASA for the public access. The Ozone Monitoring Instrument (OMI)was launched aboard the EOS-Aura satellite on July 15, 2004(1:38 pm equator crossing time, ascending mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. OMI is a contribution of the Netherlands Agency for Aerospace Programs (NIVR)in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal investigator's (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). OMI is designed to monitor stratospheric and tropospheric ozone, clouds, aerosols and smoke from biomass burning, SO2 from volcanic eruptions, and key tropospheric pollutants (HCHO, NO2) and ozone depleting gases (OClO and BrO). OMI sensor counts, calibrated and geolocated radiances, and all derived geophysical atmospheric products will be archived at the NASA Goddard DAAC. This level-2 global total column ozone product (OMTO3)is based on the enhanced TOMS version-8 algorithm that essentially uses the ultraviolet radiance data at 317.5 and 331.2 nm. OMI additional hyper-spectral measurements help in the corrections for the factors that induce uncertainty in ozone retrieval (e.g., cloud and aerosol, sea-glint effects, profile shape sensitivity, SO2 and other trace gas contamination). In addition to the total ozone values this product also contains some auxiliary derived and ancillary input parameters including N-values, effective Lambertian scene-reflectivity, UV aerosol index, SO2 index, cloud fraction, cloud pressure, ozone below clouds, terrain height, geolocation, solar and satellite viewing angles, and extensive quality flags. The shortname for this Level-2 OMI total column ozone product is OMTO3 and the algorithm lead for this product is NASA OMI scientist Dr. Pawan K. Bhartia ( Pawan.K.Bhartia@nasa.gov). OMTO3 files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMTO3 data product is about 35 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/ http://www.knmi.nl/omi/research/documents/ . Data Category Parameters: The OMTO3 data file contains one swath which consists of two groups: Data fields: OMI Total Ozone,Effective Reflectivity (331 - 360 nm), N-value, Cloud Fraction, Cloud Top Pressure, O3 below Cloud, UV Aerosol Index, SO2 index, Wavelength used in the algorithm, many Auxiliary Algorithm Parameter and Quality Flags Geolocation Fields: Latitude, Longitude, Time, Relative Azimuth, Solar Zenith and Azimuth, Viewing Zenith and Azimuth angles, Spacecraft Altitude, Latitude, Longitude, Terrain Height, Ground Pixel Quality Flags.For the full set of Aura data products available from the GES DISC, please see the link http://disc.sci.gsfc.nasa.gov/Aura/ .",
"license": "proprietary"
},
+ {
+ "id": "OMTO3_003",
+ "title": "OMI/Aura Ozone(O3) Total Column 1-Orbit L2 Swath 13x24 km V003 (OMTO3) at GES DISC",
+ "catalog": "GES_DISC STAC Catalog",
+ "state_date": "2004-10-01",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1239966818-GES_DISC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1239966818-GES_DISC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections/OMTO3_003",
+ "description": "The Aura Ozone Monitoring Instrument (OMI) Level-2 Total Column Ozone Data Product OMTO3 (Version 003) is available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access. OMI provides two Level-2 (OMTO3 and OMDOAO3) total column ozone products at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms. This level-2 global total column ozone product (OMTO3) is based on the enhanced TOMS version-8 algorithm that essentially uses the ultraviolet radiance data at 317.5 and 331.2 nm. OMI hyper-spectral measurements help in the corrections for the factors that induce uncertainty in ozone retrievals (e.g., cloud and aerosol, sea-glint effects, profile shape sensitivity, SO2 and other trace gas contamination). In addition to the total ozone values this product also contains some auxiliary derived and ancillary input parameters including N-values, effective Lambertian scene-reflectivity, UV aerosol index, SO2 index, cloud fraction, cloud pressure, ozone below clouds, terrain height, geolocation, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI total column ozone product is OMTO3. The algorithm lead for this product is NASA OMI scientist Dr. Pawan K. Bhartia. The OMTO3 files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMTO3 data product is approximately 35 MB.",
+ "license": "proprietary"
+ },
{
"id": "OMTO3_CPR_003",
"title": "OMI/Aura Level 2 Ozone (O3) Total Column 1-Orbit Subset and Collocated Swath along CloudSat track 200-km wide at 13x24 km2 resolution",
@@ -153244,16 +153387,16 @@
"license": "proprietary"
},
{
- "id": "OceanSat-2.NRT.data_NA",
+ "id": "OceanSat-2.NRT.data_9.0",
"title": "OceanSat-2 NRT data",
"catalog": "ESA STAC Catalog",
"state_date": "2015-10-27",
- "end_date": "",
+ "end_date": "2021-11-07",
"bbox": "-20, -30, 41, 70",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1532648150-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1532648150-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/OceanSat-2.NRT.data_NA",
- "description": "ESA, in collaboration with GAF AG, acquires and process every day OceanSat-2 passes over Neutrelitz reception station from 1 January 2016. All passes are systematically processed to levels 1B, 2B and 2C, and available for users in NRT (< 3 hours). Products are available in: \u2022 Level 1B: Geophysical Data containing Radiance Data for all 8 Bands of OCM-2 \u2022 Level 2B: Geophysical Data L2B for given Geo physical parameter. Geo physical parameters: Chlorophyll, Aerosol Depth, Different Attenuation, Total Suspended Sediments \u2022 Level 2C: Georeferenced Radiance Data for given geo physical parameter. Geo physical parameters: Chlorophyll, Aerosol Depth, Different Attenuation, Total Suspended Sediments",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/OceanSat-2.NRT.data_9.0",
+ "description": "ESA, in collaboration with GAF AG, acquired and processed every day OceanSat-2 passes over Neutrelitz reception station from January 2016 to November 2021. All passes were systematically processed to levels 1B, 2B and 2C, and available to users in NRT (< 3 hours). Products are available in: \u2022 Level 1B: Geophysical Data containing Radiance Data for all 8 Bands of OCM-2 \u2022 Level 2B: Geophysical Data L2B for given Geo physical parameter. Geo physical parameters: Chlorophyll, Aerosol Depth, Different Attenuation, Total Suspended Sediments \u2022 Level 2C: Georeferenced Radiance Data for given geo physical parameter. Geo physical parameters: Chlorophyll, Aerosol Depth, Different Attenuation, Total Suspended Sediments",
"license": "proprietary"
},
{
@@ -153283,7 +153426,7 @@
"license": "proprietary"
},
{
- "id": "Odin.OSIRIS_NA",
+ "id": "Odin.OSIRIS_4.0",
"title": "Odin OSIRIS data products",
"catalog": "ESA STAC Catalog",
"state_date": "2001-02-20",
@@ -153291,7 +153434,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689615-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689615-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Odin.OSIRIS_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Odin.OSIRIS_4.0",
"description": "The Odin OSIRIS (Optical Spectrograph and Infra-Red Imaging System) data provides vertical profiles measures of spectrally dispersed, limb scattered sunlight from the upper troposphere into the lower mesosphere. The data products are regularly processed and provide Ozone density vertical profiles (both Level 2 and Level 3), vertical profiles of stratospheric Aerosol (both Level 2 and Level 3), slant column densities of nitrogen dioxide NO2 profiles (Level 2), stratospheric BrO profiles (Level 2)",
"license": "proprietary"
},
@@ -153464,19 +153607,6 @@
"description": "The Plankton, Aerosol, Cloud, and ocean Ecosystem (PACE) mission launched in February 2024. The mission will carry three instruments - one hyperspectral radiometer (OCI) and two multi-angle polarimeters (HARP2 and SPEXone). The range that PACE's instruments will observe includes the UV (350-400 nm), visible (400-700 nm), and near infrared (700-885 nm), as well as several shortwave infrared bands. ",
"license": "proprietary"
},
- {
- "id": "PACE_HARP2_L0_1",
- "title": "PACE HARP2 Level-0 Instrument Telemetry/Multi-Detector Data, V1",
- "catalog": "OB_CLOUD STAC Catalog",
- "state_date": "2024-02-08",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2804798249-OB_CLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2804798249-OB_CLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/OB_CLOUD/collections/PACE_HARP2_L0_1",
- "description": "The Hyper-Angular Rainbow Polarimeter #2 (HARP2) instrument, flying aboard the PACE spacecraft, is a wide-angle imaging polarimeter designed to measure aerosol particles and clouds, as well as properties of land and water surfaces. HARP2 will combine data from multiple along-track viewing angles (up to 60), four spectral bands in the visible and near infrared ranges, and three angles of linear polarization to measure the microphysical properties of the atmospheric particles including their size distribution, amount, refractive indices and particle shape.",
- "license": "proprietary"
- },
{
"id": "PACE_HARP2_L0_D1_1",
"title": "PACE HARP2 Level-0 Detector 1 (D1) Data, V1",
@@ -154348,19 +154478,6 @@
"description": "The primary sensor aboard the PACE spacecraft is the Ocean Color Instrument (OCI). It is a highly advanced optical spectrometer that will be used to measure properties of light over portions of the electromagnetic spectrum. It will enable continuous measurement of light at finer wavelength resolution than previous NASA satellite sensors, extending key system ocean color data records for climate studies.",
"license": "proprietary"
},
- {
- "id": "PACE_OCI_L3B_AVW_NRT_2.0",
- "title": "PACE OCI Level-3 Global Binned Apparent Visible Wavelength (AVW) - Near Real Time (NRT) Data, version 2.0",
- "catalog": "OB_CLOUD STAC Catalog",
- "state_date": "2024-02-25",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3020922066-OB_CLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3020922066-OB_CLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/OB_CLOUD/collections/PACE_OCI_L3B_AVW_NRT_2.0",
- "description": "The Ocean Biology DAAC produces near real-time (quicklook) products using the best-available combination of ancillary data from meteorological and ozone data. As such, the inputs and the calibration used are less than optimal. Quicklook products provide a snapshot of the data during a short time period within a single orbit.",
- "license": "proprietary"
- },
{
"id": "PACE_OCI_L3B_CARBON_2.0",
"title": "PACE OCI Level-3 Global Binned Carbon Data, version 2.0",
@@ -155506,7 +155623,7 @@
"license": "proprietary"
},
{
- "id": "PAZ.ESA.archive_NA",
+ "id": "PAZ.ESA.archive_16.0",
"title": "PAZ ESA archive",
"catalog": "ESA STAC Catalog",
"state_date": "2018-09-06",
@@ -155514,12 +155631,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2547579176-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2547579176-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/PAZ.ESA.archive_NA",
- "description": "The PAZ ESA archive collection consists of PAZ Level 1 data previously requested by ESA supported projects over their areas of interest around the world and, as a consequence, the products are scattered and dispersed worldwide and in different time windows. The dataset regularly grows as ESA collects new products over the years. Available modes are: \u2022\tStripMap mode (SM): SSD less than 3m for a scene 30km x 50km in single polarization or 15km x 50km in dual polarisation \u2022\tScanSAR mode (SC): the scene is 100 x 150 km2, SSD less than 18m in signle pol only \u2022\tWide ScanSAR mode (WS): single polarisation only, with SS less than 40m and scene size of 270 x 200 km2 \u2022\tSpotlight modes (SL): SSD less than 2m for a scene 10km x 10km, both single and dual polarization are available \u2022\tHigh Resolution Spotlight mode (HS): in both single and dual polarisation, the scene is 10x5 km2, SSD less than 1m \u2022\tStaring Spotlight mode (ST): SSD is 25cm, the scene size is 4 x 4 km2, in single polarisation only. The available geometric projections are: \u2022\tSingle Look Slant Range Complex (SSC): single look product, no geocoding, no radiometric artifact included, the pixel spacing is equidistant in azimuth and in ground range \u2022\tMulti Look Ground Range Detected (MGD): detected multi look product, simple polynomial slant-to-ground projection is performed in range, no image rotation to a map coordinate system is performed \u2022\tGeocoded Ellipsoid Corrected (GEC): multi look detected product, projected and re-sampled to the WGS84 reference ellipsoid with no terrain corrections \u2022\tEnhanced Ellipsoid Corrected (EEC): multi look detected product, projected and re-sampled to the WGS84 reference ellipsoid, the image distortions caused by varying terrain height are corrected using a DEM The following table summarises the offered product types EO-SIP product type\tOperation Mode\tGeometric Projection PSP_SM_SSC\tStripmap (SM)\tSingle Look Slant Range Complex (SSC) PSP_SM_MGD\tStripmap (SM)\tMulti Look Ground Range Detected (MGD) PSP_SM_GEC\tStripmap (SM)\tGeocoded Ellipsoid Corrected (GEC) PSP_SM_EEC\tStripmap (SM)\tEnhanced Ellipsoid Corrected (EEC) PSP_SC_MGD\tScanSAR (SC)\tSingle Look Slant Range Complex (SSC) PSP_SC_GEC\tScanSAR (SC)\tMulti Look Ground Range Detected (MGD) PSP_SC_EEC\tScanSAR (SC)\tGeocoded Ellipsoid Corrected (GEC) PSP_SC_SSC\tScanSAR (SC)\tEnhanced Ellipsoid Corrected (EEC) PSP_SL_SSC\tSpotlight (SL)\tSingle Look Slant Range Complex (SSC) PSP_SL_MGD\tSpotlight (SL)\tMulti Look Ground Range Detected (MGD) PSP_SL_GEC\tSpotlight (SL)\tGeocoded Ellipsoid Corrected (GEC) PSP_SL_EEC\tSpotlight (SL)\tEnhanced Ellipsoid Corrected (EEC) PSP_HS_SSC\tHigh Resolution Spotlight (HS)\tSingle Look Slant Range Complex (SSC) PSP_HS_MGD\tHigh Resolution Spotlight (HS)\tMulti Look Ground Range Detected (MGD) PSP_HS_GEC\tHigh Resolution Spotlight (HS)\tGeocoded Ellipsoid Corrected (GEC) PSP_HS_EEC\tHigh Resolution Spotlight (HS)\tEnhanced Ellipsoid Corrected (EEC) PSP_ST_SSC\tStaring Spotlight (ST)\tSingle Look Slant Range Complex (SSC) PSP_ST_MGD\tStaring Spotlight (ST)\tMulti Look Ground Range Detected (MGD) PSP_ST_GEC\tStaring Spotlight (ST)\tGeocoded Ellipsoid Corrected (GEC) PSP_ST_EEC\tStaring Spotlight (ST)\tEnhanced Ellipsoid Corrected (EEC) PSP_WS_SSC\tWide ScanSAR (WS)\tSingle Look Slant Range Complex (SSC) PSP_WS_MGD\tWide ScanSAR (WS)\tMulti Look Ground Range Detected (MGD) PSP_WS_GEC\tWide ScanSAR (WS)\tGeocoded Ellipsoid Corrected (GEC) PSP_WS_EEC\tWide ScanSAR (WS)\tEnhanced Ellipsoid Corrected (EEC)",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/PAZ.ESA.archive_16.0",
+ "description": "The PAZ ESA archive collection consists of PAZ Level 1 data previously requested by ESA supported projects over their areas of interest around the world and, as a consequence, the products are scattered and dispersed worldwide and in different time windows. The dataset regularly grows as ESA collects new products over the years. Available modes are: \u2022\tStripMap mode (SM): SSD less than 3m for a scene 30km x 50km in single polarization or 15km x 50km in dual polarisation \u2022\tScanSAR mode (SC): the scene is 100 x 150 km2, SSD less than 18m in signle pol only \u2022\tWide ScanSAR mode (WS): single polarisation only, with SS less than 40m and scene size of 270 x 200 km2 \u2022\tSpotlight modes (SL): SSD less than 2m for a scene 10km x 10km, both single and dual polarization are available \u2022\tHigh Resolution Spotlight mode (HS): in both single and dual polarisation, the scene is 10x5 km2, SSD less than 1m \u2022\tStaring Spotlight mode (ST): SSD is 25cm, the scene size is 4 x 4 km2, in single polarisation only. The available geometric projections are: \u2022\tSingle Look Slant Range Complex (SSC): single look product, no geocoding, no radiometric artifact included, the pixel spacing is equidistant in azimuth and in ground range \u2022\tMulti Look Ground Range Detected (MGD): detected multi look product, simple polynomial slant-to-ground projection is performed in range, no image rotation to a map coordinate system is performed \u2022\tGeocoded Ellipsoid Corrected (GEC): multi look detected product, projected and re-sampled to the WGS84 reference ellipsoid with no terrain corrections \u2022\tEnhanced Ellipsoid Corrected (EEC): multi look detected product, projected and re-sampled to the WGS84 reference ellipsoid, the image distortions caused by varying terrain height are corrected using a DEM The following table summarises the offered product types EO-SIP product type\tOperation Mode\tGeometric Projection PSP_SM_SSC\tStripmap (SM)\tSingle Look Slant Range Complex (SSC) PSP_SM_MGD\tStripmap (SM)\tMulti Look Ground Range Detected (MGD) PSP_SM_GEC\tStripmap (SM)\tGeocoded Ellipsoid Corrected (GEC) PSP_SM_EEC\tStripmap (SM)\tEnhanced Ellipsoid Corrected (EEC) PSP_SC_MGD\tScanSAR (SC)\tSingle Look Slant Range Complex (SSC) PSP_SC_GEC\tScanSAR (SC)\tMulti Look Ground Range Detected (MGD) PSP_SC_EEC\tScanSAR (SC)\tGeocoded Ellipsoid Corrected (GEC) PSP_SC_SSC\tScanSAR (SC)\tEnhanced Ellipsoid Corrected (EEC) PSP_SL_SSC\tSpotlight (SL)\tSingle Look Slant Range Complex (SSC) PSP_SL_MGD\tSpotlight (SL)\tMulti Look Ground Range Detected (MGD) PSP_SL_GEC\tSpotlight (SL)\tGeocoded Ellipsoid Corrected (GEC) PSP_SL_EEC\tSpotlight (SL)\tEnhanced Ellipsoid Corrected (EEC) PSP_HS_SSC\tHigh Resolution Spotlight (HS)\tSingle Look Slant Range Complex (SSC) PSP_HS_MGD\tHigh Resolution Spotlight (HS)\tMulti Look Ground Range Detected (MGD) PSP_HS_GEC\tHigh Resolution Spotlight (HS)\tGeocoded Ellipsoid Corrected (GEC) PSP_HS_EEC\tHigh Resolution Spotlight (HS)\tEnhanced Ellipsoid Corrected (EEC) PSP_ST_SSC\tStaring Spotlight (ST)\tSingle Look Slant Range Complex (SSC) PSP_ST_MGD\tStaring Spotlight (ST)\tMulti Look Ground Range Detected (MGD) PSP_ST_GEC\tStaring Spotlight (ST)\tGeocoded Ellipsoid Corrected (GEC) PSP_ST_EEC\tStaring Spotlight (ST)\tEnhanced Ellipsoid Corrected (EEC) PSP_WS_SSC\tWide ScanSAR (WS)\tSingle Look Slant Range Complex (SSC) PSP_WS_MGD\tWide ScanSAR (WS)\tMulti Look Ground Range Detected (MGD) PSP_WS_GEC\tWide ScanSAR (WS)\tGeocoded Ellipsoid Corrected (GEC) PSP_WS_EEC\tWide ScanSAR (WS)\tEnhanced Ellipsoid Corrected (EEC)",
"license": "proprietary"
},
{
- "id": "PAZ.Full.Archive.and.New.Tasking_NA",
+ "id": "PAZ.Full.Archive.and.New.Tasking_7.0",
"title": "PAZ Full Archive and New Tasking",
"catalog": "ESA STAC Catalog",
"state_date": "2018-09-06",
@@ -155527,8 +155644,8 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689657-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689657-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/PAZ.Full.Archive.and.New.Tasking_NA",
- "description": "PAZ Image Products can be acquired in 8 image modes with flexible resolutions (from 1 m to 40 m) and scene sizes. Thanks to different polarimetric combinations and processing levels the delivered imagery can be tailored specifically to meet the requirements of the application. Available modes are: \u2022 StripMap mode (SM) in single and dual polarisation: The ground swath is illuminated with a continuous train of pulses while the antenna beam is pointed to a fixed angle, both in elevation and in azimuth. \u2022 ScanSAR mode (SC) in single polarisation: the swath width is increased respecting to the StripMap mode, it is composed of four different sub-swaths, which are obtained by antenna steering in elevation direction. \u2022 Wide ScanSAR mode (WS), in single polarisation: the usage of six sub-swaths allows to obtain a higher swath coverage product. \u2022 Spotlight modes: in single and dual polarisation: Spotlight modes take advantage of the beam steering capability in the azimuth plane to illuminate for a longer time the area of interest: a sensible improvement of the azimuth resolution is achieved at the expense of a shorter scene size. Spotlight mode (SL) is designed to maximise the azimuth scene extension at the expense of the spatial resolution, and High Resolution Spotlight mode (HS) is designed to maximize the spatial resolutions at the expense of the scene extension. \u2022 Staring Spotlight mode (ST), in single polarisation: The virtual rotation point coincides with the center of the beam: the image length in the flight direction is constrained by the projection on- ground of the azimuth beamwidth and it leads to a target azimuth illumination time increment and to achieve the best azimuth resolution. There are two main classes of products: \u2022 Spatially Enhanced products (SE): designed with the target of maximize the spatial resolution in pixels with squared size, so the larger resolution value of azimuth or ground range determines the square pixel size, and the smaller resolution value is adjusted to this size and the corresponding reduction of the bandwidth is used for speckle reduction. \u2022 Radiometrically Enhanced products (RE): designed with the target of maximize the radiometry, so the range and azimuth resolutions are intentionally decreased to significantly reduce speckle by averaging several looks. The following geometric projections are offered: \u2022 Single Look Slant Range Complex (SSC): single look product of the focused radar signal: the pixels are spaced equidistant in azimuth and in slant range. No geocoding is available, no radiometric artifacts included. Product delivered in the DLR-defined binary COSAR format. The SSC product is intended for applications that require the full bandwidth and phase information, e.g. for SAR interferometry and polarimetry. \u2022 Multi Look Ground Range Detected (MGD): detected multi look product in GeoTiff format with reduced speckle and approximately square resolution cells on ground. The image coordinates are oriented along flight direction and along ground range; the pixel spacing is equidistant in azimuth and in ground range. A simple polynomial slant to ground projection is performed in range using a WGS84 ellipsoid and an average, constant terrain height parameter. No image rotation to a map coordinate system is performed and interpolation artifacts are thus avoided. \u2022 Geocoded Ellipsoid Corrected (GEC): multi look detected product in GeoTiff format. It is projected and re-sampled to the WGS84 reference ellipsoid assuming one average terrain height. No terrain correction performed. UTM is the standard projection, for polar regions UPS is applied. \u2022 Enhanced Ellipsoid Corrected (EEC): multi look detected product in GeoTiff format. It is projected and re-sampled to the WGS84 reference ellipsoid. The image distortions caused by varying terrain height are corrected using an external DEM; therefore the pixel localization in these products is highly accurate. UTM is the standard projection, for polar regions UPS is applied. StripMap Single Mode ID: SM-S Polarizations: HH, VV, HV, VH Scene size (Range x Azimuth) [km]: 30 x 50 Range Resolution [m]: - MGD, GEC, EEC (SE)[Ground range] 2.99 - 3.52 at (45\u00b0 - 20\u00b0) - MGD, GEC, EEC (RE)[Ground range] 6.53 - 7.65 at (45\u00b0 - 20\u00b0) - SSC[Slant range] 1.1 (150 MHz bandwidth) 1.7 (100 MHz bandwidth) Azimuth Resolution [m]: - MGD, GEC, EEC (SE) 3.05 - MGD, GEC, EEC (RE) 6.53 - 7.60 at (45\u00b0 - 20\u00b0) - SSC 3.01 StripMap Dual Mode ID: SM-D Polarizations: HH/VV, HH/HV, VV/VH Scene size (Range x Azimuth) [km]: 15 x 50 Range Resolution [m]: - MGD, GEC, EEC (SE)[Ground range] 6 - MGD, GEC, EEC (RE)[Ground range] 7.51 - 10.43 at (45\u00b0 - 20\u00b0) - SSC[Slant range] 1.18 Azimuth Resolution [m]: - MGD, GEC, EEC (SE) 6.11 - MGD, GEC, EEC (RE) 7.52 - 10.4 at (45\u00b0 - 20\u00b0) - SSC ScanSAR Mode ID: SC Polarizations: HH, VV, HV, VH Scene size (Range x Azimuth) [km]: 100 x 150 Range Resolution [m]: - MGD, GEC, EEC (SE)[Ground range] N/A - MGD, GEC, EEC (RE)[Ground range] 16.79 - 18.19 at (45\u00b0 - 20\u00b0) - SSC[Slant range] 1.17 - 3.4 (depending on range bandwidth) Azimuth Resolution [m]: - MGD, GEC, EEC (SE) N/A - MGD, GEC, EEC (RE) 17.66 - 18.18 at (45\u00b0 - 20\u00b0) - SSC 18.5 Wide ScanSAR Mode ID: WS Polarizations: HH, VV, HV, VH Scene size (Range x Azimuth) [km]: [273-196] x 208 Range Resolution [m]: - MGD, GEC, EEC (SE)[Ground range] N/A - MGD, GEC, EEC (RE)[Ground range] 35 - SSC[Slant range] 1.75 - 3.18 (depending on range bandwidth) Azimuth Resolution [m]: - MGD, GEC, EEC (SE) N/A - MGD, GEC, EEC (RE) 39 - SSC 38.27 Spotlight Single Mode ID: SL-S Polarizations: HH, VV, HV, VH Scene size (Range x Azimuth) [km]: 10 x 10 Range Resolution [m]: - MGD, GEC, EEC (SE)[Ground range] 1.55 - 3.43 at (55\u00b0 - 20\u00b0) - MGD, GEC, EEC (RE)[Ground range] 3.51 - 5.43 at (55\u00b0 - 20\u00b0) - SSC[Slant range] 1.18 Azimuth Resolution [m]: - MGD, GEC, EEC (SE) 1.56 - 2.9 at (55\u00b0 - 20\u00b0) - MGD, GEC, EEC (RE) 3.51 - 5.4 at (55\u00b0 - 20\u00b0) - SSC 1.46 Spotlight Dual Mode ID: SL-D Polarizations: HH/VV, HH/HV, VV/VH Scene size (Range x Azimuth) [km]: 10 x 10 Range Resolution [m]: - MGD, GEC, EEC (SE)[Ground range] 3.09 - 3.5 at (55\u00b0 - 20\u00b0) - MGD, GEC, EEC (RE)[Ground range] 4.98 - 7.63 at (55\u00b0 - 20\u00b0) - SSC[Slant range] 1.17 Azimuth Resolution [m]: - MGD, GEC, EEC (SE) 3.53 - MGD, GEC, EEC (RE) 4.99 - 7.64 at (55\u00b0 - 20\u00b0) - SSC 3.1 HR Spotlight Single Mode ID: HS-S Polarizations: HH, VV, HV, VH Scene size (Range x Azimuth) [km]: 10-6 x 5 (depending on incident angle) Range Resolution [m]: - MGD, GEC, EEC (SE)[Ground range] 1 - 1.76 at (55\u00b0 - 20\u00b0) - MGD, GEC, EEC (RE)[Ground range] 2.83 - 3.11 at (55\u00b0 - 20\u00b0) - SSC[Slant range] 0.6 Azimuth Resolution [m]: - MGD, GEC, EEC (SE) 1 - 1.49 at (55 \u00b0- 20\u00b0) - MGD, GEC, EEC (RE) 2.83 - 3.13 at (55\u00b0 - 20\u00b0) - SSC 1.05 HR Spotlight Dual Mode ID: HS-D Polarizations: HH/VV, HH/HV, VV/VH Scene size (Range x Azimuth) [km]: 10 x 5 Range Resolution [m]: - MGD, GEC, EEC (SE)[Ground range] 2 - 3.5 at (55\u00b0 - 20\u00b0) - MGD, GEC, EEC (RE)[Ground range] 4 - 6.2 at (55\u00b0 - 20\u00b0) - SSC[Slant range] 1.17 Azimuth Resolution [m]: - MGD, GEC, EEC (SE) 2.38 - 2.93 at (55\u00b0 - 20\u00b0) - MGD, GEC, EEC (RE) 4 - 6.25 at (55\u00b0 - 20\u00b0) - SSC 2.16 Staring Spotlight Mode ID: ST Polarizations: HH, VV, HV, VH Scene size (Range x Azimuth) [km]: [9-4.6] x [2.7-3.6] Range Resolution [m]: - MGD, GEC, EEC (SE)[Ground range] 0.96 - 1.78 at (45\u00b0- 20\u00b0) - MGD, GEC, EEC (RE)[Ground range] 0.97 - 1.78 at (45\u00b0-20\u00b0) - SSC[Slant range] 0.59 Azimuth Resolution [m]: - MGD, GEC, EEC (SE) 0.38 - 0.7 at (45\u00b0-20\u00b0) - MGD, GEC, EEC (RE) 0.97 - 1.42 at (45\u00b0-20\u00b0) - SSC 0.22 All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. For archive data, the user is invited to search PAZ products by using the USP (User Service Provider) web portal (http://www.geos.hisdesat.es/) (self registration required) in order to verify the availability over the Area of Interest in the Time of Interest.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/PAZ.Full.Archive.and.New.Tasking_7.0",
+ "description": "PAZ Image Products can be acquired in 8 image modes with flexible resolutions (from 1 m to 40 m) and scene sizes. Thanks to different polarimetric combinations and processing levels the delivered imagery can be tailored specifically to meet the requirements of the application. Available modes are: \u2022 StripMap mode (SM) in single and dual polarisation: The ground swath is illuminated with a continuous train of pulses while the antenna beam is pointed to a fixed angle, both in elevation and in azimuth. \u2022 ScanSAR mode (SC) in single polarisation: the swath width is increased respecting to the StripMap mode, it is composed of four different sub-swaths, which are obtained by antenna steering in elevation direction. \u2022 Wide ScanSAR mode (WS), in single polarisation: the usage of six sub-swaths allows to obtain a higher swath coverage product. \u2022 Spotlight modes: in single and dual polarisation: Spotlight modes take advantage of the beam steering capability in the azimuth plane to illuminate for a longer time the area of interest: a sensible improvement of the azimuth resolution is achieved at the expense of a shorter scene size. Spotlight mode (SL) is designed to maximise the azimuth scene extension at the expense of the spatial resolution, and High Resolution Spotlight mode (HS) is designed to maximize the spatial resolutions at the expense of the scene extension. \u2022 Staring Spotlight mode (ST), in single polarisation: The virtual rotation point coincides with the center of the beam: the image length in the flight direction is constrained by the projection on- ground of the azimuth beamwidth and it leads to a target azimuth illumination time increment and to achieve the best azimuth resolution. There are two main classes of products: \u2022 Spatially Enhanced products (SE): designed with the target of maximize the spatial resolution in pixels with squared size, so the larger resolution value of azimuth or ground range determines the square pixel size, and the smaller resolution value is adjusted to this size and the corresponding reduction of the bandwidth is used for speckle reduction. \u2022 Radiometrically Enhanced products (RE): designed with the target of maximize the radiometry, so the range and azimuth resolutions are intentionally decreased to significantly reduce speckle by averaging several looks. The following geometric projections are offered: \u2022 Single Look Slant Range Complex (SSC): single look product of the focused radar signal: the pixels are spaced equidistant in azimuth and in slant range. No geocoding is available, no radiometric artifacts included. Product delivered in the DLR-defined binary COSAR format. The SSC product is intended for applications that require the full bandwidth and phase information, e.g. for SAR interferometry and polarimetry. \u2022 Multi Look Ground Range Detected (MGD): detected multi look product in GeoTiff format with reduced speckle and approximately square resolution cells on ground. The image coordinates are oriented along flight direction and along ground range; the pixel spacing is equidistant in azimuth and in ground range. A simple polynomial slant to ground projection is performed in range using a WGS84 ellipsoid and an average, constant terrain height parameter. No image rotation to a map coordinate system is performed and interpolation artifacts are thus avoided. \u2022 Geocoded Ellipsoid Corrected (GEC): multi look detected product in GeoTiff format. It is projected and re-sampled to the WGS84 reference ellipsoid assuming one average terrain height. No terrain correction performed. UTM is the standard projection, for polar regions UPS is applied. \u2022 Enhanced Ellipsoid Corrected (EEC): multi look detected product in GeoTiff format. It is projected and re-sampled to the WGS84 reference ellipsoid. The image distortions caused by varying terrain height are corrected using an external DEM; therefore the pixel localization in these products is highly accurate. UTM is the standard projection, for polar regions UPS is applied. StripMap Single Mode ID: SM-S Polarizations: HH, VV, HV, VH Scene size (Range x Azimuth) [km]: 30 x 50 Range Resolution [m]: - MGD, GEC, EEC (SE)[Ground range] 2.99 - 3.52 at (45\u00b0 - 20\u00b0) - MGD, GEC, EEC (RE)[Ground range] 6.53 - 7.65 at (45\u00b0 - 20\u00b0) - SSC[Slant range] 1.1 (150 MHz bandwidth) 1.7 (100 MHz bandwidth) Azimuth Resolution [m]: - MGD, GEC, EEC (SE) 3.05 - MGD, GEC, EEC (RE) 6.53 - 7.60 at (45\u00b0 - 20\u00b0) - SSC 3.01 StripMap Dual Mode ID: SM-D Polarizations: HH/VV, HH/HV, VV/VH Scene size (Range x Azimuth) [km]: 15 x 50 Range Resolution [m]: - MGD, GEC, EEC (SE)[Ground range] 6 - MGD, GEC, EEC (RE)[Ground range] 7.51 - 10.43 at (45\u00b0 - 20\u00b0) - SSC[Slant range] 1.18 Azimuth Resolution [m]: - MGD, GEC, EEC (SE) 6.11 - MGD, GEC, EEC (RE) 7.52 - 10.4 at (45\u00b0 - 20\u00b0) - SSC ScanSAR Mode ID: SC Polarizations: HH, VV, HV, VH Scene size (Range x Azimuth) [km]: 100 x 150 Range Resolution [m]: - MGD, GEC, EEC (SE)[Ground range] N/A - MGD, GEC, EEC (RE)[Ground range] 16.79 - 18.19 at (45\u00b0 - 20\u00b0) - SSC[Slant range] 1.17 - 3.4 (depending on range bandwidth) Azimuth Resolution [m]: - MGD, GEC, EEC (SE) N/A - MGD, GEC, EEC (RE) 17.66 - 18.18 at (45\u00b0 - 20\u00b0) - SSC 18.5 Wide ScanSAR Mode ID: WS Polarizations: HH, VV, HV, VH Scene size (Range x Azimuth) [km]: [273-196] x 208 Range Resolution [m]: - MGD, GEC, EEC (SE)[Ground range] N/A - MGD, GEC, EEC (RE)[Ground range] 35 - SSC[Slant range] 1.75 - 3.18 (depending on range bandwidth) Azimuth Resolution [m]: - MGD, GEC, EEC (SE) N/A - MGD, GEC, EEC (RE) 39 - SSC 38.27 Spotlight Single Mode ID: SL-S Polarizations: HH, VV, HV, VH Scene size (Range x Azimuth) [km]: 10 x 10 Range Resolution [m]: - MGD, GEC, EEC (SE)[Ground range] 1.55 - 3.43 at (55\u00b0 - 20\u00b0) - MGD, GEC, EEC (RE)[Ground range] 3.51 - 5.43 at (55\u00b0 - 20\u00b0) - SSC[Slant range] 1.18 Azimuth Resolution [m]: - MGD, GEC, EEC (SE) 1.56 - 2.9 at (55\u00b0 - 20\u00b0) - MGD, GEC, EEC (RE) 3.51 - 5.4 at (55\u00b0 - 20\u00b0) - SSC 1.46 Spotlight Dual Mode ID: SL-D Polarizations: HH/VV, HH/HV, VV/VH Scene size (Range x Azimuth) [km]: 10 x 10 Range Resolution [m]: - MGD, GEC, EEC (SE)[Ground range] 3.09 - 3.5 at (55\u00b0 - 20\u00b0) - MGD, GEC, EEC (RE)[Ground range] 4.98 - 7.63 at (55\u00b0 - 20\u00b0) - SSC[Slant range] 1.17 Azimuth Resolution [m]: - MGD, GEC, EEC (SE) 3.53 - MGD, GEC, EEC (RE) 4.99 - 7.64 at (55\u00b0 - 20\u00b0) - SSC 3.1 HR Spotlight Single Mode ID: HS-S Polarizations: HH, VV, HV, VH Scene size (Range x Azimuth) [km]: 10-6 x 5 (depending on incident angle) Range Resolution [m]: - MGD, GEC, EEC (SE)[Ground range] 1 - 1.76 at (55\u00b0 - 20\u00b0) - MGD, GEC, EEC (RE)[Ground range] 2.83 - 3.11 at (55\u00b0 - 20\u00b0) - SSC[Slant range] 0.6 Azimuth Resolution [m]: - MGD, GEC, EEC (SE) 1 - 1.49 at (55 \u00b0- 20\u00b0) - MGD, GEC, EEC (RE) 2.83 - 3.13 at (55\u00b0 - 20\u00b0) - SSC 1.05 HR Spotlight Dual Mode ID: HS-D Polarizations: HH/VV, HH/HV, VV/VH Scene size (Range x Azimuth) [km]: 10 x 5 Range Resolution [m]: - MGD, GEC, EEC (SE)[Ground range] 2 - 3.5 at (55\u00b0 - 20\u00b0) - MGD, GEC, EEC (RE)[Ground range] 4 - 6.2 at (55\u00b0 - 20\u00b0) - SSC[Slant range] 1.17 Azimuth Resolution [m]: - MGD, GEC, EEC (SE) 2.38 - 2.93 at (55\u00b0 - 20\u00b0) - MGD, GEC, EEC (RE) 4 - 6.25 at (55\u00b0 - 20\u00b0) - SSC 2.16 Staring Spotlight Mode ID: ST Polarizations: HH, VV, HV, VH Scene size (Range x Azimuth) [km]: [9-4.6] x [2.7-3.6] Range Resolution [m]: - MGD, GEC, EEC (SE)[Ground range] 0.96 - 1.78 at (45\u00b0- 20\u00b0) - MGD, GEC, EEC (RE)[Ground range] 0.97 - 1.78 at (45\u00b0-20\u00b0) - SSC[Slant range] 0.59 Azimuth Resolution [m]: - MGD, GEC, EEC (SE) 0.38 - 0.7 at (45\u00b0-20\u00b0) - MGD, GEC, EEC (RE) 0.97 - 1.42 at (45\u00b0-20\u00b0) - SSC 0.22 All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. For archive data, the user is invited to search PAZ products by using the USP (User Service Provider) web portal (http://www.geos.hisdesat.es/) (self registration required) in order to verify the availability over the Area of Interest in the Time of Interest.",
"license": "proprietary"
},
{
@@ -156377,20 +156494,20 @@
"license": "proprietary"
},
{
- "id": "PROBA.CHRIS.1A_NA",
+ "id": "PROBA.CHRIS.1A_7.0",
"title": "Proba CHRIS Level 1A",
"catalog": "ESA STAC Catalog",
"state_date": "2002-05-14",
- "end_date": "",
+ "end_date": "2022-12-22",
"bbox": "-180, -56, 180, 75",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214560171-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214560171-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/PROBA.CHRIS.1A_NA",
- "description": "CHRIS acquires a set of up to five images of each target during each acquisition sequence, these images are acquired when Proba-1 is pointing at distinct angles with respect to the target. CHRIS Level 1A products (supplied in HDF data files, version 4.1r3) include five formal CHRIS imaging modes, classified as modes 1 to 5: \u2022 MODE 1: Full swath width, 62 spectral bands, 773nm / 1036nm, nadir ground sampling distance 34m @ 556km \u2022 MODE 2 WATER BANDS: Full swath width, 18 spectral bands, nadir ground sampling distance 17m @ 556km \u2022 MODE 3 LAND CHANNELS: Full swath width, 18 spectral bands, nadir ground sampling distance 17m @ 556km \u2022 MODE 4 CHLOROPHYL BAND SET: Full swath width, 18 spectral bands, nadir ground sampling distance 17m @ 556km \u2022 MODE 5 LAND CHANNELS: Half swath width, 37 spectral bands, nadir ground sampling distance 17m @ 556km All Proba-1 passes are systematically acquired according to the current acquisition plan, CHRIS data are processed every day to Level 1A and made available to ESA users. Observation over a new specific area can be performed by submitting the request to add a new site to the acquisition plan. Valuable indication whether the acquisition was successfully, cloudy, failed or programmed is reported in the _$$Proba-CHRIS Actual Acquisitions$$ http://www.rsacl.co.uk/chris/excel/active/",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/PROBA.CHRIS.1A_7.0",
+ "description": "CHRIS acquires a set of up to five images of each target during each acquisition sequence, these images are acquired when Proba-1 is pointing at distinct angles with respect to the target. CHRIS Level 1A products (supplied in HDF data files, version 4.1r3) include five formal CHRIS imaging modes, classified as modes 1 to 5: \u2022 MODE 1: Full swath width, 62 spectral bands, 773nm / 1036nm, nadir ground sampling distance 34m @ 556km \u2022 MODE 2 WATER BANDS: Full swath width, 18 spectral bands, nadir ground sampling distance 17m @ 556km \u2022 MODE 3 LAND CHANNELS: Full swath width, 18 spectral bands, nadir ground sampling distance 17m @ 556km \u2022 MODE 4 CHLOROPHYL BAND SET: Full swath width, 18 spectral bands, nadir ground sampling distance 17m @ 556km \u2022 MODE 5 LAND CHANNELS: Half swath width, 37 spectral bands, nadir ground sampling distance 17m @ 556km All Proba-1 passes are systematically acquired according to the current acquisition plan, CHRIS data are processed every day to Level 1A and made available to ESA users. Observation over a new specific area can be performed by submitting the request to add a new site to the acquisition plan. Valuable indication whether the acquisition was successfully, cloudy, failed or programmed is reported in the _$$Proba-CHRIS Actual Acquisitions$$ http://www.rsacl.co.uk/chris/excel/active/",
"license": "proprietary"
},
{
- "id": "PROBA.HRC.1A_NA",
+ "id": "PROBA.HRC.1A_6.0",
"title": "Proba HRC",
"catalog": "ESA STAC Catalog",
"state_date": "2002-10-10",
@@ -156398,7 +156515,7 @@
"bbox": "-180, -56, 180, 75",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214560203-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214560203-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/PROBA.HRC.1A_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/PROBA.HRC.1A_6.0",
"description": "The HRC Level 1A product is an image images with a pixel resolution of 8m. The data are grey scale images, an image contains 1026 x 1026 pixels and covers an area of 25 km2. HRC data is supplied in BMP format. All Proba-1 passes are systematically acquired according to the current acquisition plan, HRC data are processed every day to Level 1A and made available to ESA users.",
"license": "proprietary"
},
@@ -156741,7 +156858,7 @@
"license": "proprietary"
},
{
- "id": "PlanetScope.Full.Archive_NA",
+ "id": "PlanetScope.Full.Archive_7.0",
"title": "PlanetScope Full Archive",
"catalog": "ESA STAC Catalog",
"state_date": "2016-06-22",
@@ -156749,12 +156866,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336933-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336933-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/PlanetScope.Full.Archive_NA",
- "description": "The PlanetScope Level 1B Basic Scene and Level 3B Ortho Scene full archive products are available as part of Planet imagery offer. The Unrectified Asset: PlanetScope Basic Analytic Radiance (TOAR) product is a Scaled Top of Atmosphere Radiance (at sensor) and sensor corrected product, without correction for any geometric distortions inherent in the imaging processes and is not mapped to a cartographic projection. The imagery data is accompanied by Rational Polynomial Coefficients (RPCs) to enable orthorectification by the user. This kind of product is designed for users with advanced image processing and geometric correction capabilities. Basic Scene Product Components and Format Product Components:\t - Image File (GeoTIFF format) - Metadata File (XML format) - Rational Polynomial Coefficients (XML format) - Thumbnail File (GeoTIFF format) - Unusable Data Mask UDM File (GeoTIFF format) - Usable Data Mask UDM2 File (GeoTIFF format) Bands: 4-band multispectral image (blue, green, red, near-infrared) or 8-band (coastal-blue, blue, green I, green, yellow, red, Rededge, near-infrared) Ground Sampling Distance:\t - Approximate, satellite altitude dependent - Dove-C: 3.0 m-4.1 m - Dove-R: 3.0 m-4.1 m - SuperDove: 3.7 m-4.2 m Accuracy: <10 m RMSE The Rectified assets: The PlanetScope Ortho Scene product is radiometrically-, sensor- and geometrically- corrected and is projected to a UTM/WGS84 cartographic map projection. The geometric correction uses fine Digital Elevation Models (DEMs) with a post spacing of between 30 and 90 metres. Ortho Scene Product Components and Format Product Components:\t - Image File (GeoTIFF format) - Metadata File (XML format) - Thumbnail File (GeoTIFF format) - Unusable Data Mask UDM File (GeoTIFF format) - Usable Data Mask UDM2 File (GeoTIFF format) Bands: 3-band natural color (red, green, blue) or 4-band multispectral image (blue, green, red, near-infrared) or 8-band (costal-blue, blue, green I, green, yellow, red, RedEdge, near-infrared) Ground Sampling Distance:\t - Approximate, satellite altitude dependent - Dove-C: 3.0 m-4.1 m - Dove-R: 3.0 m-4.1 m - SuperDove: 3.7 m-4.2 m Projection: UTM WGS84 Accuracy: <10 m RMSE PlanetScope Ortho Scene product is available in the following: PlanetScope Visual Ortho Scene product is orthorectified and color-corrected (using a colour curve) 3-band RGB Imagery. This correction attempts to optimise colours as seen by the human eye providing images as they would look if viewed from the perspective of the satellite PlanetScope Surface Reflectance product is orthorectified, 4-band BGRN or 8-band Coastal Blue, Blue, Green I, Green, Yellow, Red, RedEdge, NIR Imagery with geometric, radiometric and corrected for surface reflection. This data is optimal for value-added image processing such as land cover classifications. PlanetScope Analytic Ortho Scene Surface Reflectance product is orthorectified, 4-band BGRN or 8-band Coastal Blue, Blue, Green I, Green, Yellow, Red, RedEdge, NIR Imagery with geometric, radiometric and calibrated to top of atmosphere radiance. _$$Planet Explorer Catalogue$$ https://www.planet.com/explorer/ can be accessed (Planet registration requested) to discover and check the data readiness. It is worth to mention that the data distribution is based on Data Voucher, corresponding to maximum amount of square kilometers can be ordered and downloaded by the project in a maximum period of 15 moths (this duration cannot be extended) starting from the project proposal acceptance date. Each Date Voucher includes PlanetScope tile view streaming access for a total of 20,000 tiles per calendar month during the project period. All details about the data provision, data access conditions and quota assignment procedure are described in the _$$Terms of Applicability$$ https://earth.esa.int/eogateway/documents/20142/37627/Access-to-ESAs-Planet-Missions-Terms-of-Applicability.pdf available in Resources section.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/PlanetScope.Full.Archive_7.0",
+ "description": "The PlanetScope Level 1B Basic Scene and Level 3B Ortho Scene full archive products are available as part of Planet imagery offer. The Unrectified Asset: PlanetScope Basic Analytic Radiance (TOAR) product is a Scaled Top of Atmosphere Radiance (at sensor) and sensor corrected product, without correction for any geometric distortions inherent in the imaging processes and is not mapped to a cartographic projection. The imagery data is accompanied by Rational Polynomial Coefficients (RPCs) to enable orthorectification by the user. This kind of product is designed for users with advanced image processing and geometric correction capabilities. Basic Scene Product Components and Format Product Components\t Image File (GeoTIFF format) Metadata File (XML format) Rational Polynomial Coefficients (XML format) Thumbnail File (GeoTIFF format) Unusable Data Mask UDM File (GeoTIFF format) Usable Data Mask UDM2 File (GeoTIFF format) Bands\t4-band multispectral image (blue, green, red, near-infrared) or 8-band (coastal-blue, blue, green I, green, yellow, red, Rededge, near-infrared) Ground Sampling Distance\tApproximate, satellite altitude dependent Dove-C: 3.0 m-4.1 m Dove-R: 3.0 m-4.1 m SuperDove: 3.7 m-4.2 m Accuracy\t<10 m RMSE The Rectified assets: The PlanetScope Ortho Scene product is radiometrically-, sensor- and geometrically- corrected and is projected to a UTM/WGS84 cartographic map projection. The geometric correction uses fine Digital Elevation Models (DEMs) with a post spacing of between 30 and 90 metres. Ortho Scene Product Components and Format Product Components\t Image File (GeoTIFF format) Metadata File (XML format) Thumbnail File (GeoTIFF format) Unusable Data Mask UDM File (GeoTIFF format) Usable Data Mask UDM2 File (GeoTIFF format) Bands\t3-band natural colour (red, green, blue) or 4-band multispectral image (blue, green, red, near-infrared) or 8-band (coastal-blue, blue, green I, green, yellow, red, RedEdge, near-infrared) Ground Sampling Distance\tApproximate, satellite altitude dependent Dove-C: 3.0 m-4.1 m Dove-R: 3.0 m-4.1 m SuperDove: 3.7 m-4.2 m Projection\tUTM WGS84 Accuracy\t<10 m RMSE PlanetScope Ortho Scene product is available in the following: PlanetScope Visual Ortho Scene product is orthorectified and colour-corrected (using a colour curve) 3-band RGB Imagery. This correction attempts to optimise colours as seen by the human eye providing images as they would look if viewed from the perspective of the satellite. PlanetScope Surface Reflectance product is orthorectified, 4-band BGRN or 8-band Coastal Blue, Blue, Green I, Green, Yellow, Red, RedEdge, NIR Imagery with geometric, radiometric and corrected for surface reflection. This data is optimal for value-added image processing such as land cover classifications. PlanetScope Analytic Ortho Scene Surface Reflectance product is orthorectified, 4-band BGRN or 8-band Coastal Blue, Blue, Green I, Green, Yellow, Red, RedEdge, NIR Imagery with geometric, radiometric and calibrated to top of atmosphere radiance. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided.",
"license": "proprietary"
},
{
- "id": "PlanetScopeESAarchive_NA",
+ "id": "PlanetScopeESAarchive_8.0",
"title": "PlanetScope ESA archive",
"catalog": "ESA STAC Catalog",
"state_date": "2018-11-15",
@@ -156762,8 +156879,8 @@
"bbox": "-180, -84, 180, 84",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2547572362-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2547572362-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/PlanetScopeESAarchive_NA",
- "description": "The PlanetScope ESA archive collection consists of PlanetScope products requested by ESA supported projects over their areas of interest around the world and that ESA collected over the years. The dataset regularly grows as ESA collects new PlanetScope products. Three product lines for PlanetScope imagery are offered, for all of them the Ground Sampling Distance at nadir is 3.7 m (at reference altitude 475 km) The Basic Scene product is a single-frame scaled Top of Atmosphere Radiance (at sensor) and sensor-corrected product. The product is not orthorectified or corrected for terrain distortions, radiometric and sensor corrections are applied to the data The Ortho Scenes is a single-frame scaled Top of Atmosphere Radiance (at sensor) or Surface Reflectance image product. The product is radiometrically, sensor and geometrically corrected and is projected to a cartographic map (UTM/WGS84) The Ortho Tiles are multiple orthorectified scenes in a single strip that have been merged and then divided according to a defined grid. Radiometric and sensor corrections are applied, the imagery is orthorectified and projected to a UTM projection.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/PlanetScopeESAarchive_8.0",
+ "description": "The PlanetScope ESA archive collection consists of PlanetScope products requested by ESA supported projects over their areas of interest around the world and that ESA collected over the years. The dataset regularly grows as ESA collects new products. Three product lines for PlanetScope imagery are offered, for all of them the Ground Sampling Distance at nadir is 3.7 m (at reference altitude 475 km). EO-SIP Product Type\tProduct description\tProcessing Level PSC_DEF_S3\t3 bands \u2013 Analytic and Visual - Basic and Ortho Scene\tlevel 1B and 3B PSC_DEF_S4\t4 bands \u2013 Analytic and Visual - Basic and Ortho Scene\tlevel 1B and 3B PSC_DEF_OT\t3 bands, 4 bands and 5 bands \u2013 Analytic and Visual - Ortho Tile\tlevel 3A The Basic Scene product is a single-frame scaled Top of Atmosphere Radiance (at sensor) and sensor-corrected product. The product is not orthorectified or corrected for terrain distortions, radiometric and sensor corrections are applied to the data. The Ortho Scenes product is a single-frame scaled Top of Atmosphere Radiance (at sensor) or Surface Reflectance image product. The product is radiometrically, sensor and geometrically corrected and is projected to a cartographic map (UTM/WGS84). The Ortho Tiles are multiple orthorectified scenes in a single strip that have been merged and then divided according to a defined grid. Radiometric and sensor corrections are applied, the imagery is orthorectified and projected to a UTM projection. Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/socat/PlanetScope available on the Third Party Missions Dissemination Service. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided.",
"license": "proprietary"
},
{
@@ -156780,7 +156897,7 @@
"license": "proprietary"
},
{
- "id": "Pleiades.ESA.archive_NA",
+ "id": "Pleiades.ESA.archive_9.0",
"title": "Pleiades ESA archive",
"catalog": "ESA STAC Catalog",
"state_date": "2011-01-01",
@@ -156788,12 +156905,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689539-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689539-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Pleiades.ESA.archive_NA",
- "description": "The Pleiades ESA archive is a dataset of Pleiades-1A and 1B products that ESA collected over the years. The dataset regularly grows as ESA collects new Pleiades products. Pleiades Primary, Projected and Ortho products are available in the following modes: \u2022 Panchromatic image at 0.5m resolution \u2022 Pansharpened colour image at 0.5m resolution \u2022 Multispectral image in 4 spectral bands at 2m resolution \u2022 Bundle (0.5m panchromatic image + 2m multispectral image)",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Pleiades.ESA.archive_9.0",
+ "description": "The Pl\u00e9iades ESA archive is a dataset of Pl\u00e9iades-1A and 1B products that ESA collected over the years. The dataset regularly grows as ESA collects new Pl\u00e9iades products. Pl\u00e9iades Primary and Ortho products can be available in the following modes: \u2022 Panchromatic image at 0.5 m resolution \u2022 Pansharpened colour image at 0.5 m resolution \u2022 Multispectral image in 4 spectral bands at 2 m resolution \u2022 Bundle (0.5 m panchromatic image + 2 m multispectral image) Spatial coverage: Check the spatial coverage of the collection on a map available on the Third Party Missions Dissemination Service. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided.",
"license": "proprietary"
},
{
- "id": "Pleiades.HiRI.archive.and.new_NA",
+ "id": "Pleiades.HiRI.archive.and.new_9.0",
"title": "Pleiades full archive and tasking",
"catalog": "ESA STAC Catalog",
"state_date": "2012-01-01",
@@ -156801,12 +156918,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689616-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689616-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Pleiades.HiRI.archive.and.new_NA",
- "description": "The Pleiades twins (1A and 1B) deliver very high-resolution optical data (up to 0.5m resolution Pancromatic and Colour and 2 m Multispectral) and offer a daily revisit capability to any point on the globe. The swath width is of about 20 km (footprint at nadir). The ortho-products are automatically generated by the Pleiades ground segment, based on SRTM or Reference3D database. The projection available for Pleiades ortho-products is UTM, datum WGS84. Bands Combinations: \u2022 Pansharpened colour image at 0.5 m resolution \u2022 Bundle (0.5m panchromatic image + 2 m multispectral image) Processing levels: \u2022 Primary: The Primary product is the processing level closest to the natural image acquired by the sensor. This product restores perfect collection conditions: the sensor is placed in rectilinear geometry, and the image is clear of all radiometric distortion. \u2022 Standard Ortho: The Ortho product is a georeferenced image in Earth geometry, corrected from acquisition and terrain off-nadir effects. \u2022 Tailored Ortho: Aside from the Standard Ortho product, when different specifications are needed, a custom orthorectification, with a more precise 3D model provided by the client or acquired for the purpose, can be provided on demand. The products are available as part of the Airbus provision from Pleiades and Spot missions. Pleiades collection has worldwide coverage: the _$$GeoStore Catalogue$$ https://www.intelligence-airbusds.com/en/4871-ordering can be accessed (self registration requested) to discover and check the data readiness. To complement the traditional and fully customised ordering and download of selected Pl\u00e9iades and SPOT images in a variety of data formats, the user can also request a subscription for the access to _$$OneAtlas Living Library$$ https://oneatlas.airbus.com where the entire OneAtlas optical archive is made available in streaming mode and updated on daily basis. Search (based on parameter or AOI) and View functionalities are accessible via the _$$OneAtlas Living Library$$ https://oneatlas.airbus.com portal or via _$$API$$ https://api.oneatlas.airbus.com Three different subscription packages will be at the availability of users: a limitation to 80,000 tiles (corresponding to 1.000km2), a limitation to 160.000 tiles (2.000 km2), and an all-you-can-eat (unlimited) access. The subscriptions will be open for consumption for one entire year. All details about the data provision, data access conditions and quota assignment procedure are described into the _$$Terms of Applicability$$ https://earth.esa.int/eogateway/documents/20142/37627/SPOT-Pleiades-data-terms-of-applicability.pdf available in Resources section.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Pleiades.HiRI.archive.and.new_9.0",
+ "description": "The Pl\u00e9iades twins (1A and 1B) deliver very high-resolution optical data (up to 0.5 m resolution Panchromatic and Colour and 2 m Multispectral) and offer a daily revisit capability to any point on the globe. The swath width is approximately 20 km (with a nadir footprint). The ortho-products are automatically generated by the Pl\u00e9iades ground segment, based on SRTM or Reference3D database. The projection available for Pl\u00e9iades ortho-products is UTM, datum WGS84. Bands combinations:: \u2022\tPanchromatic: black&white image at 50cm resolution \u2022\tPansharpened: 3-bands or 4 bands colour image at 50cm resolution \u2022\tMultispectral: 4 bands image at 2m resolution \u2022\tBundle: 0.5 m panchromatic image + 2 m multispectral image, co-registered Processing levels: \u2022\tPrimary: The Primary product is the processing level closest to the natural image acquired by the sensor. This product restores perfect collection conditions: the sensor is placed in rectilinear geometry, and the image is clear of all radiometric distortion. \u2022\tOrtho: The Ortho product is a georeferenced image in Earth geometry, corrected from acquisition and terrain off-nadir effects. Available in MONO acquisition mode only. Acquisition modes: \u2022\tMono \u2022\tStereo \u2022\tTristero To complement the traditional and fully customised ordering and download of selected SPOT, Pleiades or Pleiades Neo images in a variety of data formats, you can also subscribe to the OneAtlas Living Library package where the entire OneAtlas optical archive of ortho images is updated on a daily basis and made available for streaming or download. The Living Library consist of \u2022\tless-than-18-months-old imagery \u2022\ta curation of SPOT images with no cloud cover and less than 30\u00b0 incidence angle \u2022\tPl\u00e9iades images acquired worldwide with maximum 15% cloud cover and 30\u00b0 Incidence Angle \u2022\tPl\u00e9iades Neo premium imagery selection with 2% cloud cover and 30\u00b0 incidence angle These are the available subscription packages (to be consumed withing one year from the activation) OneAtlas Living Library subscription package 1: up to 230 km2 Pleiades Neo or 430 km2 Pleiades or 1.500 km2 SPOT in download, up to 500 km2 Pleiades Neo or 2.000 km2 Pleiades or 7.500 km2 SPOT in streaming OneAtlas Living Library subscription package 2: up to 654 km2 Pleiades Neo or 1.214 km2 Pleiades or 4.250 km2 SPOT in download, up to 1417 km2 Pleiades Neo or 5.666 km2 Pleiades or 21.250 km2 SPOT in streaming OneAtlas Living Library subscription package 3: up to 1.161 km2 Pleiades Neo or 2.156 km2 Pleiades or 7.545 km2 SPOT in download, up to 2.515 km2 Pleiades Neo or 10.060 km2 Pleiades or 37.723 km2 SPOT in streaming All details about the data provision, data access conditions and quota assignment procedure are described in the _$$Terms of Applicability$$ https://earth.esa.int/eogateway/documents/20142/37627/SPOT-Pleiades-data-terms-of-applicability.pdf available in the Resources section. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided.",
"license": "proprietary"
},
{
- "id": "Pleiades.Neo.full.archive.and.tasking_NA",
+ "id": "Pleiades.Neo.full.archive.and.tasking_9.0",
"title": "Pl\u00e9iades Neo full archive and tasking",
"catalog": "ESA STAC Catalog",
"state_date": "2021-04-28",
@@ -156814,8 +156931,8 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2547572735-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2547572735-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Pleiades.Neo.full.archive.and.tasking_NA",
- "description": "Very High Resolution optical Pl\u00e9iades Neo data at 30 cm PAN resolution (1.2 m 6- bands Multispectral) are available as part of the Airbus provision with twice daily revisit capability over the entire globe. The swath width is 14 km (footprint at nadir). Band combinations: \u00b7 Pansharpened: colour image at 0.3 m resolution: Natural colour (3 bands RGB), false colour (3 bands NIRRG), 4 bands (RGB+NIR), 6 bands \u00b7 Bundle: 0.3 m panchromatic image and 1.2 m multispectral image (4 or 6 bands) simultaneously acquired Geometric processing levels: \u2022Primary: The Primary product is the processing level closest to the natural image acquired by the sensor. This product restores perfect collection conditions: the sensor is placed in rectilinear geometry, and the image is clear of all radiometric distortion. \u2022Projected: The products is mapped onto the Earth cartographic system using a standard reference datum and projection system at a constant terrestrial altitude, relative to the reference ellipsoid. \u2022Ortho: The Ortho product is a georeferenced image in Earth geometry, corrected from acquisition and terrain off-nadir effects. All details about the data provision, data access conditions and quota assignment procedure are described in the _$$Terms of Applicability$$ https://earth.esa.int/eogateway/documents/20142/37627/SPOT-Pleiades-data-terms-of-applicability.pdf available in Resources",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Pleiades.Neo.full.archive.and.tasking_9.0",
+ "description": "Very High Resolution optical Pl\u00e9iades Neo data at 30 cm PAN resolution (1.2 m 6-bands Multispectral) are available as part of the Airbus provision with twice daily revisit capability over the entire globe. The swath width is 14 km (footprint at nadir). Band combinations: \u2022\tPanchromatic one band Black & White image at 0.3 m resolution \u2022\tPansharpened colour image at 0.3 m resolution: Natural colour (3 bands RGB), false colour (3 bands NIRRG), 4 bands (RGB+NIR), 6 bands \u2022\tMultispectral colour image in 4 bands (RGB+NIR) or 6 bands (also Deep blue and Red Edge) at 1.2 m resolution \u2022\tBundle 0.3 m panchromatic image and 1.2 m multispectral image (4 or 6 bands) simultaneously acquired Geometric processing levels: \u2022\tPrimary: The Primary product is the processing level closest to the natural image acquired by the sensor. This product restores perfect collection conditions: the sensor is placed in rectilinear geometry, and the image is clear of all radiometric distortion. \u2022\tOrtho: The Ortho product is a georeferenced image in Earth geometry, corrected from acquisition and terrain off-nadir effects. Acquisition modes: \u2022\tMono \u2022\tStereo \u2022\tTristereo \u2022\tHD15: 15cm resolution for Panchromatic, 60cm resolution for Multispectral: Mono image resampled by using machine learning model which increase sharpness and fineness of details without introducing any fake data. To complement the traditional and fully customised ordering and download of selected SPOT, Pleiades or Pleiades Neo images in a variety of data formats, you can also subscribe to the OneAtlas Living Library package where the entire OneAtlas optical archive of ortho images is updated on a daily basis and made available for streaming or download. The Living Library consist of: \u2022\tless-than-18-months-old Pansharpened and Bundle imagery \u2022\ta curation of SPOT images with no cloud cover and less than 30\u00b0 incidence angle \u2022\tPl\u00e9iades images acquired worldwide with maximum 15% cloud cover and 30\u00b0 Incidence Angle \u2022\tPl\u00e9iades Neo premium imagery selection with 2% cloud cover and 30\u00b0 incidence angle These are the available subscription packages (to be consumed withing one year from the activation) OneAtlas Living Library subscription package 1: up to 230 km2 Pleiades Neo or 430 km2 Pleiades or 1.500 km2 SPOT in download, up to 500 km2 Pleiades Neo or 2.000 km2 Pleiades or 7.500 km2 SPOT in streaming OneAtlas Living Library subscription package 2: up to 654 km2 Pleiades Neo or 1.214 km2 Pleiades or 4.250 km2 SPOT in download, up to 1417 km2 Pleiades Neo or 5.666 km2 Pleiades or 21.250 km2 SPOT in streaming OneAtlas Living Library subscription package 3: up to 1.161 km2 Pleiades Neo or 2.156 km2 Pleiades or 7.545 km2 SPOT in download, up to 2.515 km2 Pleiades Neo or 10.060 km2 Pleiades or 37.723 km2 SPOT in streaming All details about the data provision, data access conditions and quota assignment procedure are described in the _$$Terms of Applicability$$ https://earth.esa.int/eogateway/documents/20142/37627/SPOT-Pleiades-data-terms-of-applicability.pdf available in the Resources section. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided.",
"license": "proprietary"
},
{
@@ -157430,7 +157547,7 @@
"license": "proprietary"
},
{
- "id": "QuickBird-2.ESA.archive_NA",
+ "id": "QuickBird-2.ESA.archive_6.0",
"title": "QuickBird-2 ESA archive",
"catalog": "ESA STAC Catalog",
"state_date": "2002-02-11",
@@ -157438,12 +157555,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689573-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689573-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/QuickBird-2.ESA.archive_NA",
- "description": "The QuickBird-2 archive collection consists of QuickBird-2 products requested by ESA supported projects over their areas of interest around the world. The dataset regularly grows as ESA collects new products over the years. Panchromatic (up to 61 cm resolution) and 4-Bands (up to nominal value of 2.44m resolution, reduced to 1.63m when at the end of the mission the orbit altitude was lowered to 300km) products are available; the 4-Bands includes various options such as Multispectral (separate channel for BLUE, GREEN, RED, NIR1), Pan-sharpened (BLUE, GREEN, RED, NIR1), Bundle (separate bands for PAN, BLUE, GREEN, RED, NIR1), Natural Color (pan-sharpened BLUE, GREEN, RED), Colored Infrared (pan-sharpened GREEN, RED, NIR1), Natural Colour / Coloured Infrared (3-Band pan-sharpened) The processing levels are: \u2022 STANDARD (2A): normalized for topographic relief \u2022 VIEW READY STANDARD (OR2A): ready for orthorectification \u2022 VIEW READY STEREO: collected in-track for stereo viewing and manipulation \u2022 MAP-READY (ORTHO) 1:12.000 Orthorectified: additional processing unnecessary \u2022 MAP-READY (ORTHO) 1:15.000 Orthorectified: additional processing unnecessary",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/QuickBird-2.ESA.archive_6.0",
+ "description": "The QuickBird-2 archive collection consists of QuickBird-2 products requested by ESA supported projects over their areas of interest around the world. The dataset regularly grows as ESA collects new products over the years. Panchromatic (up to 61 cm resolution) and 4-Bands (up to nominal value of 2.44m resolution, reduced to 1.63m when at the end of the mission the orbit altitude was lowered to 300km) products are available; the 4-Bands includes various options such as Multispectral (separate channel for BLUE, GREEN, RED, NIR1), Pan-sharpened (BLUE, GREEN, RED, NIR1), Bundle (separate bands for PAN, BLUE, GREEN, RED, NIR1), Natural Color (pan-sharpened BLUE, GREEN, RED), Colored Infrared (pan-sharpened GREEN, RED, NIR1), Natural Colour / Coloured Infrared (3-Band pan-sharpened) The processing levels are: \u2022 STANDARD (2A): normalized for topographic relief \u2022 VIEW READY STANDARD (OR2A): ready for orthorectification \u2022 VIEW READY STEREO: collected in-track for stereo viewing and manipulation \u2022 MAP-READY (ORTHO) 1:12.000 Orthorectified: additional processing unnecessary \u2022 MAP-READY (ORTHO) 1:15.000 Orthorectified: additional processing unnecessary",
"license": "proprietary"
},
{
- "id": "QuickBird.full.archive_NA",
+ "id": "QuickBird.full.archive_5.0",
"title": "QuickBird full archive",
"catalog": "ESA STAC Catalog",
"state_date": "2001-11-01",
@@ -157451,8 +157568,8 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336934-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336934-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/QuickBird.full.archive_NA",
- "description": "QuickBird high resolution optical products are available as part of the Maxar Standard Satellite Imagery products from the QuickBird, WorldView-1/-2/-3/-4, and GeoEye-1 satellites. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. In particular, QuickBird offers archive panchromatic products up to 0.60m GSD resolution and 4-Bands Multispectral products up to 2.4m GSD resolution \u2022 Panchromatic and 4-bands - Levels: STANDARD (2A) / VIEW READY STANDARD (OR2A), VIEW READY STEREO, MAP-READY (ORTHO) 1:12.000 Orthorectified, MAP-READY (ORTHO) 1:50.000 Orthorectified - Resolutions: 0.30 m, 0.40 m, 0.50 m. 0.60 m \u2022 8-Bands - Levels: STANDARD (2A) / VIEW READY STANDARD (OR2A), VIEW READY STEREO, MAP-READY (ORTHO) 1:12.000 Orthorectified - Resolutions: 0.30 m, 0.40 m, 0.50 m. 0.60 m 4-Bands being an optional from: \u2022\u2022 4-Band Multispectral (BLUE, GREEN, RED, NIR1) \u2022 4-Band Pan-sharpened (BLUE, GREEN, RED, NIR1) \u2022 4-Band Bundle (PAN, BLUE, GREEN, RED, NIR1) \u2022 3-Bands Natural Colour (pan-sharpened BLUE, GREEN, RED) \u2022 3-Band Colored Infrared (pan-sharpened GREEN, RED, NIR1) \u2022 Natural Colour / Coloured Infrared (3-Band pan-sharpened) The list of available archived data can be retrieved using the Image Library (https://www.euspaceimaging.com/image-library/) catalogue.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/QuickBird.full.archive_5.0",
+ "description": "QuickBird high resolution optical products are available as part of the Maxar Standard Satellite Imagery products from the QuickBird, WorldView-1/-2/-3/-4, and GeoEye-1 satellites. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. In particular, QuickBird offers archive panchromatic products up to 0.60 m GSD resolution and 4-Bands Multispectral products up to 2.4 m GSD resolution. Band Combination\tData Processing Level\tResolution Panchromatic and 4-bands\tStandard(2A)/View Ready Standard (OR2A)\t15 cm HD, 30 cm HD, 30 cm, 40 cm, 50/60 cm View Ready Stereo\t30 cm, 40 cm, 50/60 cm Map-Ready (Ortho) 1:12,000 Orthorectified\t15 cm HD, 30 cm HD, 30 cm, 40 cm, 50/60 cm 4-Bands being an option from: 4-Band Multispectral (BLUE, GREEN, RED, NIR1) 4-Band Pan-sharpened (BLUE, GREEN, RED, NIR1) 4-Band Bundle (PAN, BLUE, GREEN, RED, NIR1) 3-Bands Natural Colour (pan-sharpened BLUE, GREEN, RED) 3-Band Colored Infrared (pan-sharpened GREEN, RED, NIR1) Natural Colour / Coloured Infrared (3-Band pan-sharpened) Native 30 cm and 50/60 cm resolution products are processed with MAXAR HD Technology to generate respectively the 15 cm HD and 30 cm HD products: the initial special resolution (GSD) is unchanged but the HD technique intelligently increases the number of pixels and improves the visual clarity achieving aesthetically refined imagery with precise edges and well reconstructed details.",
"license": "proprietary"
},
{
@@ -157495,16 +157612,16 @@
"license": "proprietary"
},
{
- "id": "RADARSAT.SAR.F_NA",
- "title": "RADARSAT-1 & 2 full archive and tasking",
+ "id": "RADARSAT.SAR.F_6.0",
+ "title": "RADARSAT-1 & 2 full archive and tasking",
"catalog": "ESA STAC Catalog",
"state_date": "1995-12-01",
"end_date": "",
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336935-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336935-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/RADARSAT.SAR.F_NA",
- "description": "\"RADARSAT-1&2 full archive and new tasking products are available in several different beam modes. RADARSAT-1 PRODUCTS The Standard beam mode operates with any one of seven beam positions, referred to as S1 to S7. The nominal incidence angle range covered by the full set of Standard beams is from 20 degrees (at the inner edge of S1) to 49 degrees (at the outer edge of S7). Each individual beam covers a minimum ground swath of 100 km within the total 500 km accessibility swath of the full set of Standard beams. The nominal spatial resolution in the range direction is 26 m for S1 at near range to 20 m for S7 at far range. The nominal azimuth resolution is the same, 27 m, for all beam positions. The Wide beam modes are similar to the Standard beams except that the swath width achieved by this beam is 150 km rather than 100 km. As a result, only three Wide beams, W1, W2 and W3 are necessary to provide coverage of almost all of the 500 km swath range. They provide comparable resolution to the standard beam mode, though the increased ground swath coverage is obtained at the expense of a slight reduction in overall image quality. In the Fine beam mode the nominal azimuth resolution is 8.4 m, with range resolution 9.1 m to 7.8 m from F1 to F5. Since the radar operates with a higher sampling rate in this mode than in any of the other beam mode, the ground swath coverage has to be reduced to approximately 50 km in order to keep the downlink signal within its allocated bandwidth. Originally, five Fine beam positions, F1 to F5, were available to cover the far range of the swath with an incidence angle range from 37 to 47 degrees. By modifying timing parameters, 10 new positions have been added with offset ground coverage. Each original Fine beam position can either be shifted closer to or further away from Nadir. In Extended High beam mode six positions, EH1 to EH6, are available for collection of data in the 49 to 60 degree incidence angle range. Since this beam mode operates outside the optimum scan angle range of the SAR antenna, some minor degradation of image quality can be expected when compared with the Standard beam mode. Swath widths are restricted to a nominal 80 km for the inner three positions, and 70 km for the outer three positions. In Extended Low beam mode one position, EL1, is provided for imaging in the incidence angle range 10 to 23 degrees with nominal ground swath coverage of 170 km. As with the Extended High beam mode, some minor degradation of image quality can be expected due to operation of the antenna beyond its optimum elevation angle range. In ScanSAR mode, combinations of two, three or four single beams are used during data collection. Each beam is selected sequentially so that data is collected from a wider swath than possible with a single beam. The beam switching rates are chosen to ensure at least one \"look\" at the Earth's surface for each beam within the along track illumination time or dwell time of the antenna beam. In practice, the radar beam switching is adjusted to provide two looks per beam. The beam multiplexing inherent in ScanSAR operation reduces the effective sampling rate within each of the component beams; hence the increased swath coverage is obtained at the expense of spatial resolution. The ScanSAR Narrow mode combines two beams (incidence angle range of 20 to 39 degrees) or three beams (incidence angle from 31 to 46 degrees) and provides coverage of a nominal 300 km ground swath, with spatial resolution of 50 m. The ScanSAR Wide mode combines four beams, provides coverage of either 500 km (with incidence angle range of 20 to 49 degrees) or 450 km (incidence angle range from 20 to 46 degrees) nominal ground swaths depending on the beam combination. Beam Mode| Product| Ground coverage (km2)| Nominal resolution (m)| Polarisation| ScanSAR wide| SCW, SCF, SCS| 500 x 500| 100| Single and dual| ScanSAR narrow| SCN, SCF, SCS| 300 x 300| 60| Single and dual| Wide| SGF, SGX, SLC, SSG, SPG| 150 x 150| 24| Single and dual| Standard| SGF, SGX, SLC, SSG, SPG| 100 x 100| 24| Single| Extended low| SGF, SGX, SLC, SSG, SPG| 170 x 170| 24| Single| Extended high| SGF, SGX, SLC, SSG, SPG| 75 x 75| 24| Single| Fine| SGF, SGX, SLC, SSG, SPG| 50 x 50| 8| Single| RADARSAT-2 PRODUCTS The Standard Beam Mode allows imaging over a wide range of incidence angles with a set of image quality characteristics which provides a balance between fine resolution and wide coverage, and between spatial and radiometric resolutions. Standard Beam Mode operates with any one of eight beams, referred to as S1 to S8. The nominal incidence angle range covered by the full set of beams is 20 degrees (at the inner edge of S1) to 52 degrees (at the outer edge of S8). Each individual beam covers a nominal ground swath of 100 km within the total standard beam accessibility swath of more than 500 km. The Wide Swath Beam Mode allows imaging of wider swaths than Standard Beam Mode, but at the expense of slightly coarser spatial resolution. The three Wide Swath beams, W1, W2 and W3, provide coverage of swaths of approximately 170 km, 150 km and 130 km in width respectively, and collectively span a total incidence angle range from 20 degrees to 45 degrees. The Fine Resolution Beam Mode is intended for applications which require finer spatial resolution. Products from this beam mode have a nominal ground swath of 50 km. Nine Fine Resolution physical beams, F23 to F21, and F1 to F6 are available to cover the incidence angle range from 30 to 50 degrees. For each of these beams, the swath can optionally be centred with respect to the physical beam or it can be shifted slightly to the near or far range side. Thanks to these additional swath positioning choices, overlaps of more than 50% are provided between adjacent swaths. In the Extended Low Incidence Beam Mode, a single Extended Low Incidence Beam, EL1, is provided for imaging in the incidence angle range from 10 to 23 degrees with a nominal ground swath coverage of 170 km. Some minor degradation of image quality can be expected due to operation of the antenna beyond its optimum scan angle range. In the Extended High Incidence Beam Mode, six Extended High Incidence Beams, EH1 to EH6, are available for imaging in the 49 to 60 degree incidence angle range. Since these beams operate outside the optimum scan angle range of the SAR antenna, some degradation of image quality, becoming progressively more severe with increasing incidence angle, can be expected when compared with the Standard Beams. Swath widths are restricted to a nominal 80 km for the inner three beams, and 70 km for the outer beams. ScanSAR Narrow Beam Mode provides coverage of a ground swath approximately double the width of the Wide Swath Beam Mode swaths. Two swath positions with different combinations of physical beams can be used: SCNA, which uses physical beams W1 and W2, and SCNB, which uses physical beams W2, S5, and S6. Both options provide coverage of swath widths of about 300 km. The SCNA combination provides coverage over the incidence angle range from 20 to 39 degrees. The SCNB combination provides coverage over the incidence angle range 31 to 47 degrees. ScanSAR Wide Beam Mode provides coverage of a ground swath approximately triple the width of the Wide Swath Beam Mode swaths. Two swath positions with different combinations of physical beams can be used: SCWA, which uses physical beams W1, W2, W3, and S7, and SCWB, which uses physical beams W1, W2, S5 and S6. The SCWA combination allows imaging of a swath of more than 500 km covering an incidence angle range of 20 to 49 degrees. The SCWB combination allows imaging of a swath of more than 450 km covering the incidence angle. In the Standard Quad Polarization Beam Mode, the radar transmits pulses alternately in horizontal (H) and vertical (V) polarisations, and receives the return signals from each pulse in both H and V polarisations separately but simultaneously. This beam mode therefore enables full polarimetric (HH+VV+HV+VH) image products to be generated. The Standard Quad Polarization Beam Mode operates with the same pulse bandwidths as the Standard Beam Mode. Products with swath widths of approximately 25 km can be obtained covering any area within the region from an incidence angle of 18 degrees to at least 49 degrees. The Wide Standard Quad Polarization Beam Mode operates the same way as the Standard Quad Polarization Beam Mode but with higher data acquisition rates, and offers wider swaths of approximately 50 km at equivalent spatial resolution. 21 beams are available covering any area from 18 degrees to 42 degrees, ensuring overlaps of about 50% between adjacent swaths. The Fine Quad Polarization Beam Mode provides full polarimetric imaging with the same spatial resolution as the Fine Resolution Beam Mode. Fine Quad Polarization Beam Mode products with swath widths of approximately 25 km can be obtained covering any area within the region from an incidence angle of 18 degrees to at least 49 degrees. The Wide Fine Quad Polarization Beam Mode operates the same way as the Fine Quad Polarization Beam Mode but with higher data acquisition rates, and offers a wider swath of approximately 50 km at equivalent spatial resolution. 21 beams are available covering any area from 18 degrees to 42 degrees, ensuring overlaps of about 50% between adjacent swaths. The Multi-Look Fine Resolution Beam Mode covers the same swaths as the Fine Resolution Beam Mode. Products with multiple looks in range and azimuth are generated at approximately the same spatial resolution as Fine Resolution Beam mode products, but with multiple looks and therefore improved radiometric resolution. Single look products are generated at finer spatial resolutions than Fine Resolution Beam Mode products. In order to obtain the multiple looks without a reduction in swath width, this beam mode operates with higher data acquisition rates and noise levels than Fine Resolution Beam Mode. As with the Fine Resolution Beam Mode, nine physical beams are available to cover the incidence angle range from 30 to 50 degrees, and additional near and/or far range swath positioning choices are available to provide additional overlap. The Wide Multi-Look Fine Resolution Beam Mode offers a wider coverage alternative to the regular Multi-Look Fine Beam Mode, while preserving the same spatial and radiometric resolution, but at the expense of higher data compression ratios (which leads to higher signal-dependent noise levels). The nominal swath width is 90 km compared to 50 km for the Multi-Look Fine Beam Mode. The nine physical beams are the same as in the Multi-Look Fine Beam Mode, covering incidence angles from approximately 30 to 50 degrees, but the additional near and far range swath positioning choices available in the Multi-Look Fine Beam Mode are not needed because the beam centered swaths are wide enough to overlap by more than 50%. The Ultra-Fine Resolution Beam Mode is intended for applications which require very high spatial resolution. The set of Ultra-Fine Resolution Beams cover any area within the incidence angle range from 20 to 50 degrees (soon to be extended to 54 degrees). Each beam within the set images a swath width of at least 20 km. The Wide Ultra-Fine Resolution Beam Mode provides the same spatial resolution as the Ultra-Fine mode as well as wider coverage, but at the expense of higher data compression ratios (which leads to higher signal-dependent noise levels). The set of Wide Ultra-Fine Resolution Beams cover any area within the incidence angle range from 30 to 50 degrees. Each beam within the set images a swath width of approximately 50 km. The Wide Fine Resolution Beam Mode is intended for applications which require both a finer spatial resolution and a wide swath. Products from this beam mode have a nominal ground swath equivalent to the ones offered by the Wide Swath Beam Mode (170 km, 150 km and 120 km) and a spatial resolution equivalent to the ones offered by the Fine Resolution Beam Mode, at the expense of somewhat higher noise levels. Three Wide Fine Resolution beam positions, F0W1 to F0W3 are available to cover the incidence angle range from 20 to 45 degrees. The Extra-Fine Resolution Beam Mode nominally provides similar swath width and incidence angle coverage as the Wide Fine Beam Mode, at even finer resolutions, but with higher data compression ratios and noise levels. The four Extra-Fine beams provide coverage of swaths of approximately 160 km, 124 km, 120 km and 108 km in width respectively, and collectively span a total incidence angle range from 22 to 49 degrees. This beam mode also offers additional optional processing parameter selections that allow for reduced-bandwidth single-look products, 4-look, and 28-look products. In Spotlight Beam Mode, the beam is steered electronically in order to dwell on the area of interest over longer aperture times, which allows products to be processed to finer azimuth resolution than in other modes. Unlike in other modes, Spotlight images are of fixed size in the along track direction. The set of Spotlight beams cover any area within the incidence angle range from 20 to 50 degrees (soon to be extended to 54 degrees). Each beam within the set images a swath width of at least 18 km. Beam Mode| Product| Nominal Pixel Spacing [Range x Azimuth](metres)| Nominal Resolution (metres)| Resolution [Range x Azimuth](metres)| Nominal Scene Size [Range x Azimuth](kilometres)| Range of Angle of Incidence [Range](degrees)| Number of Looks [Range x Azimuth]| Polarisations Options| Spotlight| SLC |1.3 x 0.4| <1| 1.6 x 0.8| 18 x 8| 20 to 54| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Spotlight| SGX |1 or 0.8 x 1/3| <1|4.6 - 2.0 x 0.8|18 x 8| 20 to 54| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Spotlight| SGF |0.5 x 0.5| <1|4.6 - 2.0 x 0.8|18 x 8| 20 to 54| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Spotlight| SSG, SPG|0.5 x 0.5| <1|4.6 - 2.0 x 0.8|18 x 8| 20 to 54| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Ultra-fine| SLC| 1.3 x 2.1| 3| 1.6 x 2.8| 20 x 20| 20 to 54| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Ultra-fine| SGX| 1 x 1 or 0.8 x 0.8| 3| 3.3 \u2013 2.1 x 2.8| 20 x 20| 20 to 54| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Ultra-fine| SGF| 1.56 x 1.56| 3| 3.3 \u2013 2.1 x 2.8| 20 x 20| 20 to 54| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Ultra-fine| SSG, SPG| 1.56 x 1.56| 3| 3.3 \u2013 2.1 x 2.8| 20 x 20| 20 to 54| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Wide Ultra-fine| SLC| 1.3 x 2.1| 3| 3.1 x 4.6| 50 x 50 29 to 50 1 x 1 Single Co or Cross (HH or VV or HV or VH)| Wide Ultra-fine| SGX| 1 x 1| 3| 3.3 - 2.1 x 2.8| 50 x 50 29 to 50 1 x 1 Single Co or Cross (HH or VV or HV or VH)| Wide Ultra-fine| SGF| 1.56 x 1.56| 3| 3.3 - 2.1 x 2.8| 50 x 50 29 to 50 1 x 1 Single Co or Cross (HH or VV or HV or VH)| Wide Ultra-fine| SSG, SPG| 1.56 x 1.56| 3| 3.3 - 2.1 x 2.8| 50 x 50 29 to 50 1 x 1 Single Co or Cross (HH or VV or HV or VH)| Multi-look fine| SLC| 2.7 x 2.9| 8| 3.1 x 4.6| 50 x 50| 30 to 50| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Multi-look fine| SGX| 3.13 x 3.13| 8| 10.4 - 6.8 x 7.6| 50 x 50| 30 to 50| 2 x 2| Single Co or Cross (HH or VV or HV or VH)| Multi-look fine| SGF| 6.25 x 6.25| 8| 10.4 - 6.8 x 7.6| 50 x 50| 30 to 50| 2 x 2| Single Co or Cross (HH or VV or HV or VH)| Multi-look fine| SSG, SPG| 6.25 x 6.25| 8| 10.4 - 6.8 x 7.6| 50 x 50| 30 to 50| 2 x 2| Single Co or Cross (HH or VV or HV or VH)| Wide Multi-look fine| SLC| 2.7 x 2.9| 8| 3.1 x 4.6| 90 x 50| 29 to 50| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Wide Multi-look fine| SGX| 3.13 x 3.13| 8| 10.8 - 6.8 x 7.6| 90 x 50| 29 to 50| 2 x 2| Single Co or Cross (HH or VV or HV or VH)| Wide Multi-look fine| SGF| 6.25 x 6.25| 8| 10.8 - 6.8 x 7.6| 90 x 50| 29 to 50| 2 x 2| Single Co or Cross (HH or VV or HV or VH)| Wide Multi-look fine| SSG, SPG| 6.25 x 6.25| 8| 10.8 - 6.8 x 7.6| 90 x 50| 29 to 50| 2 x 2| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SLC| (Full resolution)| 2.7 x 2.9| 5| 3.1 x 4.6| 125 x 125| 22 to 49| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SLC| (fine resolution)| 4.3 x 5.8| 5| 5.2 x 7.6| 125 x 125| 22 to 49| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SLC| (standard resolution)| 7.1 x 5.8| 5| 8.9 x 7.6| 125 x 125| 22 to 49| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SLC| (wide resolution)| 10.6 x 5.8| 5| 13.3 x 7.6| 125 x 125| 22 to 49| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SGX| (1 look)| 2.0 x 2.0| 5| 8.4 \u2013 4.1 x 4.6| 125 x 125| 22 to 49| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SGX| (4 looks)| 3.13 x 3.13| 5| 14 \u2013 6.9 x 7.6| 125 x 125| 22 to 49| 2 x 2| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SGX| (28 looks)| 5.0 x 5.0| 5| 24 - 12 x 23.5| 125 x 125| 22 to 49| 4 x 7| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SGF| (1 look)| 3.13 x 3.13| 5| 8.4 - 4.1 x 4.6| 125 x 125| 22 to 49| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SGF| (4 looks)| 6.25 x 6.25| 5| 14 - 6.9 x 7.6| 125 x 125| 22 to 49| 2 x 2| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SGF| (28 looks)| 8.0 x 8.0| 5| 24 - 12 x 23.5| 125 x 125| 22 to 49| 4 x 7| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SSG, SPG| 3.13 x 3.13| 5| 8.4 - 4.1 x 4.6| 125 x 125| 22 to 49| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Fine| SLC| 4.7 x 5.1| 8| 5.2 x 7.7| 50 x 50| 30 to 50| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Fine| SGX| 3.13 x 3.13| 8| 10.4 \u2013 6.8 x 7.7| 50 x 50| 30 to 50| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Fine| SGF| 6.25 x 6.25| 8| 10.4 \u2013 6.8 x 7.7| 50 x 50| 30 to 50| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Fine| SSG, SPG| 6.25 x 6.25| 8| 10.4 \u2013 6.8 x 7.7| 50 x 50| 30 to 50| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Wide Fine| SLC| 4.7 x 5.1| 8| 5.2 x 7.7| 150 x 150| 20 to 45| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Wide Fine| SGX| 3.13 x 3.13| 8| 14.9 - 7.3 x 7.7| 150 x 150| 20 to 45| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Wide Fine| SGF| 6.25 x 6.25| 8| 14.9 - 7.3 x 7.7| 150 x 150| 20 to 45| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Wide Fine| SSG, SPG| 6.25 x 6.25| 8| 14.9 - 7.3 x 7.7| 150 x 150| 20 to 45| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Standard| SLC| 8.0 or 11.8 x 5.1| 25| 9.0 or 13.5 x 7.7| 100 x 100| 20 - 52| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Standard| SGX| 8 x 8| 25| 26.8 - 17.3 x 24.7| 100 x 100| 20 - 52| 1 x 4| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Standard| SGF| 12.5 x 12.5| 25| 26.8 - 17.3 x 24.7| 100 x 100| 20 - 52| 1 x 4| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Standard| SSG, SPG| 12.5 x 12.5| 25| 26.8 - 17.3 x 24.7| 100 x 100| 20 - 52| 1 x 4| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Wide| SLC| 11.8 x 5.1| 30| 13.5 x 7.7| 150 x 150| 20 - 45| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Wide| SGX| 10 x 10| 30| 40.0 - 19.2 x 24.7| 150 x 150| 20 - 45| 1 x 4| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Wide| SGF| 12.5 x 12.5| 30| 40.0 - 19.2 x 24.7| 150 x 150| 20 - 45| 1 x 4| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Wide| SSG, SPG| 12.5 x 12.5| 30| 40.0 - 19.2 x 24.7| 150 x 150| 20 - 45| 1 x 4| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Extended High| SLC| 11.8 x 5.1| 25| 13.5 x 7.7| 75 x 75| 49 - 60| 1 x 1| Single (HH only)| Extended High| SGX| 8 x 8| 25| 18.2 - 15.9 x 24.7| 75 x 75| 49 - 60| 1 x 4| Single (HH only)| Extended High| SGF| 12.5 x 12.5| 25| 18.2 - 15.9 x 24.7| 75 x 75| 49 - 60| 1 x 4| Single (HH only)| Extended High| SSG, SPG| 12.5 x 12.5| 25| 18.2 - 15.9 x 24.7| 75 x 75| 49 - 60| 1 x 4| Single (HH only)| Extended Low| SLC| 8.0 x 5.1| 25| 9.0 x 7.7| 170 x 170| 10 - 23| 1 x 1| Single (HH only)| Extended Low| SGX| 10 x 10| 25| 52.7 \u2013 23.3 x 24.7| 170 x 170| 10 - 23| 1 x 4| Single (HH only)| Extended Low| SGF| 12.5 x 12.5| 25| 52.7 \u2013 23.3 x 24.7| 170 x 170| 10 - 23| 1 x 4| Single (HH only)| Extended Low| SSG, SPG| 12.5 x 12.5| 25| 52.7 \u2013 23.3 x 24.7| 170 x 170| 10 - 23| 1 x 4| Single (HH only)| Fine Quad-Pol| SLC| 4.7 x 5.1| 8| 5.2 x 7.6| 25 x 25| 18 - 49| 1 x 1| Quad (HH+VV+HV+VH)| Fine Quad-Pol| SGX| 3.13 x 3.13| 8| 16.5 \u2013 6.8 x 7.6| 25 x 25| 18 - 49| 1 x 1| Quad (HH+VV+HV+VH)| Fine Quad-Pol| SSG, SPG| 3.13 x 3.13| 8| 16.5 \u2013 6.8 x 7.6| 25 x 25| 18 - 49| 1 x 1| Quad (HH+VV+HV+VH)| Wide Fine Quad-Pol| SLC| 4.7 x 5.1| 8| 5.2 x 7.6| 50 x 25| 18 - 42| 1 x 1 Quad (HH+VV+HV+VH)| Wide Fine Quad-Pol| SGX| 3.13 x 3.13| 8| 17.3\u20137.8 x 7.6| 50 x 25| 18 - 42| 1 x 1 Quad (HH+VV+HV+VH)| Wide Fine Quad-Pol| SSG, SPG| 3.13 x 3.13| 8| 17.3\u20137.8 x 7.6| 50 x 25| 18 - 42| 1 x 1 Quad (HH+VV+HV+VH)| Standard Quad-Pol| SLC| 8 or 11.8 x 5.1| 25| 9.0 or 13.5 x 7.6| 25 x 25| 18 - 49| 1 x 1| Quad (HH+VV+HV+VH)| Standard Quad-Pol| SGX| 8 x 3.13| 25| 28.6 \u2013 17.7 x 7.6| 25 x 25| 18 - 49| 1 x 1| Quad (HH+VV+HV+VH)| Standard Quad-Pol| SSG, SPG| 8 x 3.13| 25| 28.6 \u2013 17.7 x 7.6| 25 x 25| 18 - 49| 1 x 1| Quad (HH+VV+HV+VH)| Wide Standard Quad-Pol| SLC| 8 or 11.8 x 5.1| 25| 9.0 or 13.5 x 7.6| 50 x 25| 18 - 42| 1 x 1| Quad (HH+VV+HV+VH)| Wide Standard Quad-Pol| SGX| 8 x 3.13| 25| 30.0 \u201316.7 x 7.6| 50 x 25| 18 - 42| 1 x 1| Quad (HH+VV+HV+VH)| Wide Standard Quad-Pol| SSG, SPG| 8 x 3.13| 25| 30.0 \u201316.7 x 7.6| 50 x 25| 18 - 42| 1 x 1| Quad (HH+VV+HV+VH)| ScanSAR Narrow| SCN, SCF, SCS| 25 x 25| 50| 81\u201338 x 40-70| 300 x 300| 20 to 46| 2 x 2| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| ScanSAR Wide| SCW, SCF, SCS| 50 x 50| 100| 163-73 x 78-106| 500 x 500| 20 to 49| 4 x 2| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| These are the different products : SLC (Single Look Complex): Amplitude and phase information is preserved. Data is in slant range. Georeferenced and aligned with the satellite track SGF (Path Image): Data is converted to ground range and may be multi-look processed. Scene is oriented in direction of orbit path. Georeferenced and aligned with the satellite track. SGX (Path Image Plus): Same as SGF except processed with refined pixel spacing as needed to fully encompass the image data bandwidths. Georeferenced and aligned with the satellite track SSG(Map Image): Image is geocorrected to a map projection. SPG (Precision Map Image): Image is geocorrected to a map projection. Ground control points (GCP) are used to improve positional accuracy. SCN(ScanSAR Narrow)/SCF(ScanSAR Wide) : ScanSAR Narrow/Wide beam mode product with original processing options and metadata fields (for backwards compatibility only). Georeferenced and aligned with the satellite track SCF (ScanSAR Fine): ScanSAR product equivalent to SGF with additional processing options and metadata fields. Georeferenced and aligned with the satellite track SCS(ScanSAR Sampled) : Same as SCF except with finer sampling. Georeferenced and aligned with the satellite track The products are available as part of the MDA provision from RADARSAT missions with worldwide coverage: the EODMS catalogue (https://www.eodms-sgdot.nrcan-rncan.gc.ca/index_en.jsp) can be accessed (registration required only for ordering) to discover and check the data readiness. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/RADARSAT.SAR.F_6.0",
+ "description": ""RADARSAT-1&2 full archive and new tasking products are available in several different beam modes. RADARSAT-1 PRODUCTS The Standard beam mode operates with any one of seven beam positions, referred to as S1 to S7. The nominal incidence angle range covered by the full set of Standard beams is from 20 degrees (at the inner edge of S1) to 49 degrees (at the outer edge of S7). Each individual beam covers a minimum ground swath of 100 km within the total 500 km accessibility swath of the full set of Standard beams. The nominal spatial resolution in the range direction is 26 m for S1 at near range to 20 m for S7 at far range. The nominal azimuth resolution is the same, 27 m, for all beam positions. The Wide beam modes are similar to the Standard beams except that the swath width achieved by this beam is 150 km rather than 100 km. As a result, only three Wide beams, W1, W2 and W3 are necessary to provide coverage of almost all of the 500 km swath range. They provide comparable resolution to the standard beam mode, though the increased ground swath coverage is obtained at the expense of a slight reduction in overall image quality. In the Fine beam mode the nominal azimuth resolution is 8.4 m, with range resolution 9.1 m to 7.8 m from F1 to F5. Since the radar operates with a higher sampling rate in this mode than in any of the other beam mode, the ground swath coverage has to be reduced to approximately 50 km in order to keep the downlink signal within its allocated bandwidth. Originally, five Fine beam positions, F1 to F5, were available to cover the far range of the swath with an incidence angle range from 37 to 47 degrees. By modifying timing parameters, 10 new positions have been added with offset ground coverage. Each original Fine beam position can either be shifted closer to or further away from Nadir. In Extended High beam mode six positions, EH1 to EH6, are available for collection of data in the 49 to 60 degree incidence angle range. Since this beam mode operates outside the optimum scan angle range of the SAR antenna, some minor degradation of image quality can be expected when compared with the Standard beam mode. Swath widths are restricted to a nominal 80 km for the inner three positions, and 70 km for the outer three positions. In Extended Low beam mode one position, EL1, is provided for imaging in the incidence angle range 10 to 23 degrees with nominal ground swath coverage of 170 km. As with the Extended High beam mode, some minor degradation of image quality can be expected due to operation of the antenna beyond its optimum elevation angle range. In ScanSAR mode, combinations of two, three or four single beams are used during data collection. Each beam is selected sequentially so that data is collected from a wider swath than possible with a single beam. The beam switching rates are chosen to ensure at least one "look" at the Earth's surface for each beam within the along track illumination time or dwell time of the antenna beam. In practice, the radar beam switching is adjusted to provide two looks per beam. The beam multiplexing inherent in ScanSAR operation reduces the effective sampling rate within each of the component beams; hence the increased swath coverage is obtained at the expense of spatial resolution. The ScanSAR Narrow mode combines two beams (incidence angle range of 20 to 39 degrees) or three beams (incidence angle from 31 to 46 degrees) and provides coverage of a nominal 300 km ground swath, with spatial resolution of 50 m. The ScanSAR Wide mode combines four beams, provides coverage of either 500 km (with incidence angle range of 20 to 49 degrees) or 450 km (incidence angle range from 20 to 46 degrees) nominal ground swaths depending on the beam combination. Beam Mode| Product| Ground coverage (km2)| Nominal resolution (m)| Polarisation| ScanSAR wide| SCW, SCF, SCS| 500 x 500| 100| Single and dual| ScanSAR narrow| SCN, SCF, SCS| 300 x 300| 60| Single and dual| Wide| SGF, SGX, SLC, SSG, SPG| 150 x 150| 24| Single and dual| Standard| SGF, SGX, SLC, SSG, SPG| 100 x 100| 24| Single| Extended low| SGF, SGX, SLC, SSG, SPG| 170 x 170| 24| Single| Extended high| SGF, SGX, SLC, SSG, SPG| 75 x 75| 24| Single| Fine| SGF, SGX, SLC, SSG, SPG| 50 x 50| 8| Single| RADARSAT-2 PRODUCTS The Standard Beam Mode allows imaging over a wide range of incidence angles with a set of image quality characteristics which provides a balance between fine resolution and wide coverage, and between spatial and radiometric resolutions. Standard Beam Mode operates with any one of eight beams, referred to as S1 to S8. The nominal incidence angle range covered by the full set of beams is 20 degrees (at the inner edge of S1) to 52 degrees (at the outer edge of S8). Each individual beam covers a nominal ground swath of 100 km within the total standard beam accessibility swath of more than 500 km. The Wide Swath Beam Mode allows imaging of wider swaths than Standard Beam Mode, but at the expense of slightly coarser spatial resolution. The three Wide Swath beams, W1, W2 and W3, provide coverage of swaths of approximately 170 km, 150 km and 130 km in width respectively, and collectively span a total incidence angle range from 20 degrees to 45 degrees. The Fine Resolution Beam Mode is intended for applications which require finer spatial resolution. Products from this beam mode have a nominal ground swath of 50 km. Nine Fine Resolution physical beams, F23 to F21, and F1 to F6 are available to cover the incidence angle range from 30 to 50 degrees. For each of these beams, the swath can optionally be centred with respect to the physical beam or it can be shifted slightly to the near or far range side. Thanks to these additional swath positioning choices, overlaps of more than 50% are provided between adjacent swaths. In the Extended Low Incidence Beam Mode, a single Extended Low Incidence Beam, EL1, is provided for imaging in the incidence angle range from 10 to 23 degrees with a nominal ground swath coverage of 170 km. Some minor degradation of image quality can be expected due to operation of the antenna beyond its optimum scan angle range. In the Extended High Incidence Beam Mode, six Extended High Incidence Beams, EH1 to EH6, are available for imaging in the 49 to 60 degree incidence angle range. Since these beams operate outside the optimum scan angle range of the SAR antenna, some degradation of image quality, becoming progressively more severe with increasing incidence angle, can be expected when compared with the Standard Beams. Swath widths are restricted to a nominal 80 km for the inner three beams, and 70 km for the outer beams. ScanSAR Narrow Beam Mode provides coverage of a ground swath approximately double the width of the Wide Swath Beam Mode swaths. Two swath positions with different combinations of physical beams can be used: SCNA, which uses physical beams W1 and W2, and SCNB, which uses physical beams W2, S5, and S6. Both options provide coverage of swath widths of about 300 km. The SCNA combination provides coverage over the incidence angle range from 20 to 39 degrees. The SCNB combination provides coverage over the incidence angle range 31 to 47 degrees. ScanSAR Wide Beam Mode provides coverage of a ground swath approximately triple the width of the Wide Swath Beam Mode swaths. Two swath positions with different combinations of physical beams can be used: SCWA, which uses physical beams W1, W2, W3, and S7, and SCWB, which uses physical beams W1, W2, S5 and S6. The SCWA combination allows imaging of a swath of more than 500 km covering an incidence angle range of 20 to 49 degrees. The SCWB combination allows imaging of a swath of more than 450 km covering the incidence angle. In the Standard Quad Polarization Beam Mode, the radar transmits pulses alternately in horizontal (H) and vertical (V) polarisations, and receives the return signals from each pulse in both H and V polarisations separately but simultaneously. This beam mode therefore enables full polarimetric (HH+VV+HV+VH) image products to be generated. The Standard Quad Polarization Beam Mode operates with the same pulse bandwidths as the Standard Beam Mode. Products with swath widths of approximately 25 km can be obtained covering any area within the region from an incidence angle of 18 degrees to at least 49 degrees. The Wide Standard Quad Polarization Beam Mode operates the same way as the Standard Quad Polarization Beam Mode but with higher data acquisition rates, and offers wider swaths of approximately 50 km at equivalent spatial resolution. 21 beams are available covering any area from 18 degrees to 42 degrees, ensuring overlaps of about 50% between adjacent swaths. The Fine Quad Polarization Beam Mode provides full polarimetric imaging with the same spatial resolution as the Fine Resolution Beam Mode. Fine Quad Polarization Beam Mode products with swath widths of approximately 25 km can be obtained covering any area within the region from an incidence angle of 18 degrees to at least 49 degrees. The Wide Fine Quad Polarization Beam Mode operates the same way as the Fine Quad Polarization Beam Mode but with higher data acquisition rates, and offers a wider swath of approximately 50 km at equivalent spatial resolution. 21 beams are available covering any area from 18 degrees to 42 degrees, ensuring overlaps of about 50% between adjacent swaths. The Multi-Look Fine Resolution Beam Mode covers the same swaths as the Fine Resolution Beam Mode. Products with multiple looks in range and azimuth are generated at approximately the same spatial resolution as Fine Resolution Beam mode products, but with multiple looks and therefore improved radiometric resolution. Single look products are generated at finer spatial resolutions than Fine Resolution Beam Mode products. In order to obtain the multiple looks without a reduction in swath width, this beam mode operates with higher data acquisition rates and noise levels than Fine Resolution Beam Mode. As with the Fine Resolution Beam Mode, nine physical beams are available to cover the incidence angle range from 30 to 50 degrees, and additional near and/or far range swath positioning choices are available to provide additional overlap. The Wide Multi-Look Fine Resolution Beam Mode offers a wider coverage alternative to the regular Multi-Look Fine Beam Mode, while preserving the same spatial and radiometric resolution, but at the expense of higher data compression ratios (which leads to higher signal-dependent noise levels). The nominal swath width is 90 km compared to 50 km for the Multi-Look Fine Beam Mode. The nine physical beams are the same as in the Multi-Look Fine Beam Mode, covering incidence angles from approximately 30 to 50 degrees, but the additional near and far range swath positioning choices available in the Multi-Look Fine Beam Mode are not needed because the beam centered swaths are wide enough to overlap by more than 50%. The Ultra-Fine Resolution Beam Mode is intended for applications which require very high spatial resolution. The set of Ultra-Fine Resolution Beams cover any area within the incidence angle range from 20 to 50 degrees (soon to be extended to 54 degrees). Each beam within the set images a swath width of at least 20 km. The Wide Ultra-Fine Resolution Beam Mode provides the same spatial resolution as the Ultra-Fine mode as well as wider coverage, but at the expense of higher data compression ratios (which leads to higher signal-dependent noise levels). The set of Wide Ultra-Fine Resolution Beams cover any area within the incidence angle range from 30 to 50 degrees. Each beam within the set images a swath width of approximately 50 km. The Wide Fine Resolution Beam Mode is intended for applications which require both a finer spatial resolution and a wide swath. Products from this beam mode have a nominal ground swath equivalent to the ones offered by the Wide Swath Beam Mode (170 km, 150 km and 120 km) and a spatial resolution equivalent to the ones offered by the Fine Resolution Beam Mode, at the expense of somewhat higher noise levels. Three Wide Fine Resolution beam positions, F0W1 to F0W3 are available to cover the incidence angle range from 20 to 45 degrees. The Extra-Fine Resolution Beam Mode nominally provides similar swath width and incidence angle coverage as the Wide Fine Beam Mode, at even finer resolutions, but with higher data compression ratios and noise levels. The four Extra-Fine beams provide coverage of swaths of approximately 160 km, 124 km, 120 km and 108 km in width respectively, and collectively span a total incidence angle range from 22 to 49 degrees. This beam mode also offers additional optional processing parameter selections that allow for reduced-bandwidth single-look products, 4-look, and 28-look products. In Spotlight Beam Mode, the beam is steered electronically in order to dwell on the area of interest over longer aperture times, which allows products to be processed to finer azimuth resolution than in other modes. Unlike in other modes, Spotlight images are of fixed size in the along track direction. The set of Spotlight beams cover any area within the incidence angle range from 20 to 50 degrees (soon to be extended to 54 degrees). Each beam within the set images a swath width of at least 18 km. Beam Mode| Product| Nominal Pixel Spacing [Range x Azimuth](metres)| Nominal Resolution (metres)| Resolution [Range x Azimuth](metres)| Nominal Scene Size [Range x Azimuth](kilometres)| Range of Angle of Incidence [Range](degrees)| Number of Looks [Range x Azimuth]| Polarisations Options| Spotlight| SLC |1.3 x 0.4| <1| 1.6 x 0.8| 18 x 8| 20 to 54| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Spotlight| SGX |1 or 0.8 x 1/3| <1|4.6 - 2.0 x 0.8|18 x 8| 20 to 54| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Spotlight| SGF |0.5 x 0.5| <1|4.6 - 2.0 x 0.8|18 x 8| 20 to 54| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Spotlight| SSG, SPG|0.5 x 0.5| <1|4.6 - 2.0 x 0.8|18 x 8| 20 to 54| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Ultra-fine| SLC| 1.3 x 2.1| 3| 1.6 x 2.8| 20 x 20| 20 to 54| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Ultra-fine| SGX| 1 x 1 or 0.8 x 0.8| 3| 3.3 \u2013 2.1 x 2.8| 20 x 20| 20 to 54| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Ultra-fine| SGF| 1.56 x 1.56| 3| 3.3 \u2013 2.1 x 2.8| 20 x 20| 20 to 54| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Ultra-fine| SSG, SPG| 1.56 x 1.56| 3| 3.3 \u2013 2.1 x 2.8| 20 x 20| 20 to 54| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Wide Ultra-fine| SLC| 1.3 x 2.1| 3| 3.1 x 4.6| 50 x 50 29 to 50 1 x 1 Single Co or Cross (HH or VV or HV or VH)| Wide Ultra-fine| SGX| 1 x 1| 3| 3.3 - 2.1 x 2.8| 50 x 50 29 to 50 1 x 1 Single Co or Cross (HH or VV or HV or VH)| Wide Ultra-fine| SGF| 1.56 x 1.56| 3| 3.3 - 2.1 x 2.8| 50 x 50 29 to 50 1 x 1 Single Co or Cross (HH or VV or HV or VH)| Wide Ultra-fine| SSG, SPG| 1.56 x 1.56| 3| 3.3 - 2.1 x 2.8| 50 x 50 29 to 50 1 x 1 Single Co or Cross (HH or VV or HV or VH)| Multi-look fine| SLC| 2.7 x 2.9| 8| 3.1 x 4.6| 50 x 50| 30 to 50| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Multi-look fine| SGX| 3.13 x 3.13| 8| 10.4 - 6.8 x 7.6| 50 x 50| 30 to 50| 2 x 2| Single Co or Cross (HH or VV or HV or VH)| Multi-look fine| SGF| 6.25 x 6.25| 8| 10.4 - 6.8 x 7.6| 50 x 50| 30 to 50| 2 x 2| Single Co or Cross (HH or VV or HV or VH)| Multi-look fine| SSG, SPG| 6.25 x 6.25| 8| 10.4 - 6.8 x 7.6| 50 x 50| 30 to 50| 2 x 2| Single Co or Cross (HH or VV or HV or VH)| Wide Multi-look fine| SLC| 2.7 x 2.9| 8| 3.1 x 4.6| 90 x 50| 29 to 50| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Wide Multi-look fine| SGX| 3.13 x 3.13| 8| 10.8 - 6.8 x 7.6| 90 x 50| 29 to 50| 2 x 2| Single Co or Cross (HH or VV or HV or VH)| Wide Multi-look fine| SGF| 6.25 x 6.25| 8| 10.8 - 6.8 x 7.6| 90 x 50| 29 to 50| 2 x 2| Single Co or Cross (HH or VV or HV or VH)| Wide Multi-look fine| SSG, SPG| 6.25 x 6.25| 8| 10.8 - 6.8 x 7.6| 90 x 50| 29 to 50| 2 x 2| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SLC| (Full resolution)| 2.7 x 2.9| 5| 3.1 x 4.6| 125 x 125| 22 to 49| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SLC| (fine resolution)| 4.3 x 5.8| 5| 5.2 x 7.6| 125 x 125| 22 to 49| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SLC| (standard resolution)| 7.1 x 5.8| 5| 8.9 x 7.6| 125 x 125| 22 to 49| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SLC| (wide resolution)| 10.6 x 5.8| 5| 13.3 x 7.6| 125 x 125| 22 to 49| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SGX| (1 look)| 2.0 x 2.0| 5| 8.4 \u2013 4.1 x 4.6| 125 x 125| 22 to 49| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SGX| (4 looks)| 3.13 x 3.13| 5| 14 \u2013 6.9 x 7.6| 125 x 125| 22 to 49| 2 x 2| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SGX| (28 looks)| 5.0 x 5.0| 5| 24 - 12 x 23.5| 125 x 125| 22 to 49| 4 x 7| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SGF| (1 look)| 3.13 x 3.13| 5| 8.4 - 4.1 x 4.6| 125 x 125| 22 to 49| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SGF| (4 looks)| 6.25 x 6.25| 5| 14 - 6.9 x 7.6| 125 x 125| 22 to 49| 2 x 2| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SGF| (28 looks)| 8.0 x 8.0| 5| 24 - 12 x 23.5| 125 x 125| 22 to 49| 4 x 7| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SSG, SPG| 3.13 x 3.13| 5| 8.4 - 4.1 x 4.6| 125 x 125| 22 to 49| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Fine| SLC| 4.7 x 5.1| 8| 5.2 x 7.7| 50 x 50| 30 to 50| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Fine| SGX| 3.13 x 3.13| 8| 10.4 \u2013 6.8 x 7.7| 50 x 50| 30 to 50| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Fine| SGF| 6.25 x 6.25| 8| 10.4 \u2013 6.8 x 7.7| 50 x 50| 30 to 50| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Fine| SSG, SPG| 6.25 x 6.25| 8| 10.4 \u2013 6.8 x 7.7| 50 x 50| 30 to 50| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Wide Fine| SLC| 4.7 x 5.1| 8| 5.2 x 7.7| 150 x 150| 20 to 45| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Wide Fine| SGX| 3.13 x 3.13| 8| 14.9 - 7.3 x 7.7| 150 x 150| 20 to 45| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Wide Fine| SGF| 6.25 x 6.25| 8| 14.9 - 7.3 x 7.7| 150 x 150| 20 to 45| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Wide Fine| SSG, SPG| 6.25 x 6.25| 8| 14.9 - 7.3 x 7.7| 150 x 150| 20 to 45| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Standard| SLC| 8.0 or 11.8 x 5.1| 25| 9.0 or 13.5 x 7.7| 100 x 100| 20 - 52| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Standard| SGX| 8 x 8| 25| 26.8 - 17.3 x 24.7| 100 x 100| 20 - 52| 1 x 4| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Standard| SGF| 12.5 x 12.5| 25| 26.8 - 17.3 x 24.7| 100 x 100| 20 - 52| 1 x 4| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Standard| SSG, SPG| 12.5 x 12.5| 25| 26.8 - 17.3 x 24.7| 100 x 100| 20 - 52| 1 x 4| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Wide| SLC| 11.8 x 5.1| 30| 13.5 x 7.7| 150 x 150| 20 - 45| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Wide| SGX| 10 x 10| 30| 40.0 - 19.2 x 24.7| 150 x 150| 20 - 45| 1 x 4| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Wide| SGF| 12.5 x 12.5| 30| 40.0 - 19.2 x 24.7| 150 x 150| 20 - 45| 1 x 4| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Wide| SSG, SPG| 12.5 x 12.5| 30| 40.0 - 19.2 x 24.7| 150 x 150| 20 - 45| 1 x 4| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Extended High| SLC| 11.8 x 5.1| 25| 13.5 x 7.7| 75 x 75| 49 - 60| 1 x 1| Single (HH only)| Extended High| SGX| 8 x 8| 25| 18.2 - 15.9 x 24.7| 75 x 75| 49 - 60| 1 x 4| Single (HH only)| Extended High| SGF| 12.5 x 12.5| 25| 18.2 - 15.9 x 24.7| 75 x 75| 49 - 60| 1 x 4| Single (HH only)| Extended High| SSG, SPG| 12.5 x 12.5| 25| 18.2 - 15.9 x 24.7| 75 x 75| 49 - 60| 1 x 4| Single (HH only)| Extended Low| SLC| 8.0 x 5.1| 25| 9.0 x 7.7| 170 x 170| 10 - 23| 1 x 1| Single (HH only)| Extended Low| SGX| 10 x 10| 25| 52.7 \u2013 23.3 x 24.7| 170 x 170| 10 - 23| 1 x 4| Single (HH only)| Extended Low| SGF| 12.5 x 12.5| 25| 52.7 \u2013 23.3 x 24.7| 170 x 170| 10 - 23| 1 x 4| Single (HH only)| Extended Low| SSG, SPG| 12.5 x 12.5| 25| 52.7 \u2013 23.3 x 24.7| 170 x 170| 10 - 23| 1 x 4| Single (HH only)| Fine Quad-Pol| SLC| 4.7 x 5.1| 8| 5.2 x 7.6| 25 x 25| 18 - 49| 1 x 1| Quad (HH+VV+HV+VH)| Fine Quad-Pol| SGX| 3.13 x 3.13| 8| 16.5 \u2013 6.8 x 7.6| 25 x 25| 18 - 49| 1 x 1| Quad (HH+VV+HV+VH)| Fine Quad-Pol| SSG, SPG| 3.13 x 3.13| 8| 16.5 \u2013 6.8 x 7.6| 25 x 25| 18 - 49| 1 x 1| Quad (HH+VV+HV+VH)| Wide Fine Quad-Pol| SLC| 4.7 x 5.1| 8| 5.2 x 7.6| 50 x 25| 18 - 42| 1 x 1 Quad (HH+VV+HV+VH)| Wide Fine Quad-Pol| SGX| 3.13 x 3.13| 8| 17.3\u20137.8 x 7.6| 50 x 25| 18 - 42| 1 x 1 Quad (HH+VV+HV+VH)| Wide Fine Quad-Pol| SSG, SPG| 3.13 x 3.13| 8| 17.3\u20137.8 x 7.6| 50 x 25| 18 - 42| 1 x 1 Quad (HH+VV+HV+VH)| Standard Quad-Pol| SLC| 8 or 11.8 x 5.1| 25| 9.0 or 13.5 x 7.6| 25 x 25| 18 - 49| 1 x 1| Quad (HH+VV+HV+VH)| Standard Quad-Pol| SGX| 8 x 3.13| 25| 28.6 \u2013 17.7 x 7.6| 25 x 25| 18 - 49| 1 x 1| Quad (HH+VV+HV+VH)| Standard Quad-Pol| SSG, SPG| 8 x 3.13| 25| 28.6 \u2013 17.7 x 7.6| 25 x 25| 18 - 49| 1 x 1| Quad (HH+VV+HV+VH)| Wide Standard Quad-Pol| SLC| 8 or 11.8 x 5.1| 25| 9.0 or 13.5 x 7.6| 50 x 25| 18 - 42| 1 x 1| Quad (HH+VV+HV+VH)| Wide Standard Quad-Pol| SGX| 8 x 3.13| 25| 30.0 \u201316.7 x 7.6| 50 x 25| 18 - 42| 1 x 1| Quad (HH+VV+HV+VH)| Wide Standard Quad-Pol| SSG, SPG| 8 x 3.13| 25| 30.0 \u201316.7 x 7.6| 50 x 25| 18 - 42| 1 x 1| Quad (HH+VV+HV+VH)| ScanSAR Narrow| SCN, SCF, SCS| 25 x 25| 50| 81\u201338 x 40-70| 300 x 300| 20 to 46| 2 x 2| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| ScanSAR Wide| SCW, SCF, SCS| 50 x 50| 100| 163-73 x 78-106| 500 x 500| 20 to 49| 4 x 2| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| These are the different products : SLC (Single Look Complex): Amplitude and phase information is preserved. Data is in slant range. Georeferenced and aligned with the satellite track SGF (Path Image): Data is converted to ground range and may be multi-look processed. Scene is oriented in direction of orbit path. Georeferenced and aligned with the satellite track. SGX (Path Image Plus): Same as SGF except processed with refined pixel spacing as needed to fully encompass the image data bandwidths. Georeferenced and aligned with the satellite track SSG(Map Image): Image is geocorrected to a map projection. SPG (Precision Map Image): Image is geocorrected to a map projection. Ground control points (GCP) are used to improve positional accuracy. SCN(ScanSAR Narrow)/SCF(ScanSAR Wide) : ScanSAR Narrow/Wide beam mode product with original processing options and metadata fields (for backwards compatibility only). Georeferenced and aligned with the satellite track SCF (ScanSAR Fine): ScanSAR product equivalent to SGF with additional processing options and metadata fields. Georeferenced and aligned with the satellite track SCS(ScanSAR Sampled) : Same as SCF except with finer sampling. Georeferenced and aligned with the satellite track The products are available as part of the MDA provision from RADARSAT missions with worldwide coverage: the EODMS catalogue (https://www.eodms-sgdot.nrcan-rncan.gc.ca/index_en.jsp) can be accessed (registration required only for ordering) to discover and check the data readiness. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section.",
"license": "proprietary"
},
{
@@ -158197,7 +158314,7 @@
"license": "proprietary"
},
{
- "id": "Radarsat-2_NA",
+ "id": "Radarsat-2_8.0",
"title": "RADARSAT-2 ESA Archive",
"catalog": "ESA STAC Catalog",
"state_date": "2008-07-27",
@@ -158205,8 +158322,8 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689631-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689631-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Radarsat-2_NA",
- "description": "The RADARSAT-2 ESA archive collection consists of RADARSAT-2 products requested by ESA supported projects over their areas of interest around the world. The dataset regularly grows as ESA collects new products over the years. Following Beam modes are available: Standard, Wide Swath, Fine Resolution, Extended Low Incidence, Extended High Incidence, ScanSAR Narrow and ScanSAR Wide. Standard Beam Mode allows imaging over a wide range of incidence angles with a set of image quality characteristics which provides a balance between fine resolution and wide coverage, and between spatial and radiometric resolutions. Standard Beam Mode operates with any one of eight beams, referred to as S1 to S8, in single and dual polarisation . The nominal incidence angle range covered by the full set of beams is 20 degrees (at the inner edge of S1) to 52 degrees (at the outer edge of S8). Each individual beam covers a nominal ground swath of 100 km within the total standard beam accessibility swath of more than 500 km. BEAM MODE: Standard PRODUCT: SLC, SGX, SGF, SSG, SPG Nominal Pixel Spacing - Range x Azimuth (m) : 8.0 or 11.8 x 5.1 (SLC), 8.0 x 8.0 (SGX), 12.5 x 12.5 (SSG, SPG) Resolution - Range x Azimuth (m): 9.0 or 13.5 x 7.7 (SLC), 26.8 - 17.3 x 24.7 (SGX, SGF, SSG, SPG) Nominal Scene Size - Range x Azimuth (km): 100 x 100 Range of Angle of Incidence (deg): 20 - 52 No. of Looks - Range x Azimuth: 1 x 1 (SLC), 1 x 4 (SGX, SGF, SSG, SPG) Polarisations - Options: \u2022 Single: HH or VV or HV or VH \u2022 Dual: HH + HV or VV + VH Wide Swath Beam Mode allows imaging of wider swaths than Standard Beam Mode, but at the expense of slightly coarser spatial resolution. The three Wide Swath beams, W1, W2 and W3, provide coverage of swaths of approximately 170 km, 150 km and 130 km in width respectively, and collectively span a total incidence angle range from 20 degrees to 45 degrees. Polarisation can be single and dual. BEAM MODE: Wide PRODUCT: SLC, SGX, SGF, SSG, SPG Nominal Pixel Spacing - Range x Azimuth (m) : 11.8 x 5.1 (SLC), 10 x 10 (SGX), 12.5 x 12.5 (SSG, SPG) Resolution - Range x Azimuth (m): 13.5 x 7.7 (SLC), 40.0 - 19.2 x 24.7 (SGX, SGF, SSG, SPG) Nominal Scene Size - Range x Azimuth (km): 150 x 150 Range of Angle of Incidence (deg): 20 - 45 No. of Looks - Range x Azimuth: 1 x 1 (SLC), 1 x 4 (SGX, SGF, SSG, SPG) Polarisations - Options: \u2022 Single: HH or VV or HV or VH \u2022 Dual: HH + HV or VV + VH Fine Resolution Beam Mode is intended for applications which require finer spatial resolution. Products from this beam mode have a nominal ground swath of 50 km. Nine Fine Resolution physical beams, F23 to F21, and F1 to F6 are available to cover the incidence angle range from 30 to 50 degrees. For each of these beams, the swath can optionally be centred with respect to the physical beam or it can be shifted slightly to the near or far range side. Thanks to these additional swath positioning choices, overlaps of more than 50% are provided between adjacent swaths. RADARSAT-2 can operate in single and dual polarisation for this beam mode. BEAM MODE: Fine PRODUCT: SLC, SGX, SGF, SSG, SPG Nominal Pixel Spacing - Range x Azimuth (m) : 4.7 x 5.1 (SLC), 3.13 x 3.13 (SGX), 6.25 x 6.25 (SSG, SPG) Resolution - Range x Azimuth (m): 5.2 x 7.7 (SLC), 10.4 - 6.8 x 7.7 (SGX, SGF, SSG, SPG) Nominal Scene Size - Range x Azimuth (km): 50 x 50 Range of Angle of Incidence (deg): 30 - 50 No. of Looks - Range x Azimuth: 1 x 1 (SLC,SGX, SGF, SSG, SPG) Polarisations - Options: \u2022 Single: HH or VV or HV or VH \u2022 Dual: HH + HV or VV + VH In the Extended Low Incidence Beam Mode, a single Extended Low Incidence Beam, EL1, is provided for imaging in the incidence angle range from 10 to 23 degrees with a nominal ground swath coverage of 170 km. Some minor degradation of image quality can be expected due to operation of the antenna beyond its optimum scan angle range. Only single polarisation is available. BEAM MODE: Extended Low PRODUCT: SLC, SGX, SGF, SSG, SPG Nominal Pixel Spacing - Range x Azimuth (m) : 8.0 x 5.1 (SLC), 10.0 x 10.0 (SGX), 12.5 x 12.5 (SSG, SPG) Nominal Resolution - Range x Azimuth (m): 9.0 x 7.7 (SLC), 52.7 - 23.3 x 24.7 (SGX, SGF, SSG, SPG) Nominal Scene Size - Range x Azimuth (km): 170 x 170 Range of Angle of Incidence (deg): 10 - 23 No. of Looks - Range x Azimuth: 1 x 1 (SLC), 1 x 4 (SGX, SGF, SSG, SPG) Polarisations - Options: Single Pol HH In the Extended High Incidence Beam Mode, six Extended High Incidence Beams, EH1 to EH6, are available for imaging in the 49 to 60 degree incidence angle range. Since these beams operate outside the optimum scan angle range of the SAR antenna, some degradation of image quality, becoming progressively more severe with increasing incidence angle, can be expected when compared with the Standard Beams. Swath widths are restricted to a nominal 80 km for the inner three beams, and 70 km for the outer beams. Only single polarisation available. BEAM MODE: Extended High PRODUCT: SLC, SGX, SGF, SSG, SPG Nominal Pixel Spacing - Range x Azimuth (m) : 11.8 x 5.1 (SLC), 8.0 x 8.0 (SGX), 12.5 x 12.5 (SSG, SPG) Resolution - Range x Azimuth (m): 13.5 x 7.7 (SLC), 18.2 - 15.9 x 24.7 (SGX, SGF, SSG, SPG) Nominal Scene Size - Range x Azimuth (km): 75 x 75 Range of Angle of Incidence (deg): 49 - 60 No. of Looks - Range x Azimuth: 1 x 1 (SLC), 1 x 4 (SGX, SGF, SSG, SPG) Polarisations - Options: Single Pol HH ScanSAR Narrow Beam Mode provides coverage of a ground swath approximately double the width of the Wide Swath Beam Mode swaths. Two swath positions with different combinations of physical beams can be used: SCNA, which uses physical beams W1 and W2, and SCNB, which uses physical beams W2, S5, and S6. Both options provide coverage of swath widths of about 300 km. The SCNA combination provides coverage over the incidence angle range from 20 to 39 degrees. The SCNB combination provides coverage over the incidence angle range 31 to 47 degrees. RADARSAT-2 can operate in single and dual polarisation for this beam mode. BEAM MODE: ScanSAR Narrow PRODUCT: SCN, SCF, SCS Nominal Pixel Spacing - Range x Azimuth (m) : 25 x 25 Nominal Resolution - Range x Azimuth (m):81-38 x 40-70 Nominal Scene Size - Range x Azimuth (km): 300 x 300 Range of Angle of Incidence (deg): 20 - 46 No. of Looks - Range x Azimuth: 2 x 2 Polarisations - Options: \u2022 Single Co or Cross: HH or VV or HV or VH \u2022 Dual: HH + HV or VV + VH ScanSAR Wide Beam Mode provides coverage of a ground swath approximately triple the width of the Wide Swath Beam Mode swaths. Two swath positions with different combinations of physical beams can be used: SCWA, which uses physical beams W1, W2, W3, and S7, and SCWB, which uses physical beams W1, W2, S5 and S6. The SCWA combination allows imaging of a swath of more than 500 km covering an incidence angle range of 20 to 49 degrees. The SCWB combination allows imaging of a swath of more than 450 km covering the incidence angle. Polarisation can be single and dual. BEAM MODE: ScanSAR Wide PRODUCT: SCW, SCF, SCS Nominal Pixel Spacing - Range x Azimuth (m) : 50 x 50 Resolution - Range x Azimuth (m): 163.0 - 73 x 78-106 Nominal Scene Size - Range x Azimuth (km): 500 x 500 Range of Angle of Incidence (deg): 20 - 49 No. of Looks - Range x Azimuth: 4 x 2 Polarisations - Options: \u2022 Single Co or Cross: HH or VV or HV or VH \u2022 Dual: HH + HV or VV + VH These are the different products : SLC (Single Look Complex): Amplitude and phase information is preserved. Data is in slant range. Georeferenced and aligned with the satellite track SGF (Path Image): Data is converted to ground range and may be multi-look processed. Scene is oriented in direction of orbit path. Georeferenced and aligned with the satellite track. SGX (Path Image Plus): Same as SGF except processed with refined pixel spacing as needed to fully encompass the image data bandwidths. Georeferenced and aligned with the satellite track SSG(Map Image): Image is geocorrected to a map projection. SPG (Precision Map Image): Image is geocorrected to a map projection. Ground control points (GCP) are used to improve positional accuracy. SCN(ScanSAR Narrow)/SCF(ScanSAR Wide) : ScanSAR Narrow/Wide beam mode product with original processing options and metadata fields (for backwards compatibility only). Georeferenced and aligned with the satellite track SCF (ScanSAR Fine): ScanSAR product equivalent to SGF with additional processing options and metadata fields. Georeferenced and aligned with the satellite track SCS(ScanSAR Sampled) : Same as SCF except with finer sampling. Georeferenced and aligned with the satellite track",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Radarsat-2_8.0",
+ "description": "The RADARSAT-2 ESA archive collection consists of RADARSAT-2 products requested by ESA supported projects over their areas of interest around the world. The dataset regularly grows as ESA collects new products over the years. Following Beam modes are available: Standard, Wide Swath, Fine Resolution, Extended Low Incidence, Extended High Incidence, ScanSAR Narrow and ScanSAR Wide. Standard Beam Mode allows imaging over a wide range of incidence angles with a set of image quality characteristics which provides a balance between fine resolution and wide coverage, and between spatial and radiometric resolutions. Standard Beam Mode operates with any one of eight beams, referred to as S1 to S8, in single and dual polarisation . The nominal incidence angle range covered by the full set of beams is 20 degrees (at the inner edge of S1) to 52 degrees (at the outer edge of S8). Each individual beam covers a nominal ground swath of 100 km within the total standard beam accessibility swath of more than 500 km. BEAM MODE: Standard PRODUCT: SLC, SGX, SGF, SSG, SPG Nominal Pixel Spacing - Range x Azimuth (m) : 8.0 or 11.8 x 5.1 (SLC), 8.0 x 8.0 (SGX), 12.5 x 12.5 (SSG, SPG) Resolution - Range x Azimuth (m): 9.0 or 13.5 x 7.7 (SLC), 26.8 - 17.3 x 24.7 (SGX, SGF, SSG, SPG) Nominal Scene Size - Range x Azimuth (km): 100 x 100 Range of Angle of Incidence (deg): 20 - 52 No. of Looks - Range x Azimuth: 1 x 1 (SLC), 1 x 4 (SGX, SGF, SSG, SPG) Polarisations - Options: \u2022 Single: HH or VV or HV or VH \u2022 Dual: HH + HV or VV + VH Wide Swath Beam Mode allows imaging of wider swaths than Standard Beam Mode, but at the expense of slightly coarser spatial resolution. The three Wide Swath beams, W1, W2 and W3, provide coverage of swaths of approximately 170 km, 150 km and 130 km in width respectively, and collectively span a total incidence angle range from 20 degrees to 45 degrees. Polarisation can be single and dual. BEAM MODE: Wide PRODUCT: SLC, SGX, SGF, SSG, SPG Nominal Pixel Spacing - Range x Azimuth (m) : 11.8 x 5.1 (SLC), 10 x 10 (SGX), 12.5 x 12.5 (SSG, SPG) Resolution - Range x Azimuth (m): 13.5 x 7.7 (SLC), 40.0 - 19.2 x 24.7 (SGX, SGF, SSG, SPG) Nominal Scene Size - Range x Azimuth (km): 150 x 150 Range of Angle of Incidence (deg): 20 - 45 No. of Looks - Range x Azimuth: 1 x 1 (SLC), 1 x 4 (SGX, SGF, SSG, SPG) Polarisations - Options: \u2022 Single: HH or VV or HV or VH \u2022 Dual: HH + HV or VV + VH Fine Resolution Beam Mode is intended for applications which require finer spatial resolution. Products from this beam mode have a nominal ground swath of 50 km. Nine Fine Resolution physical beams, F23 to F21, and F1 to F6 are available to cover the incidence angle range from 30 to 50 degrees. For each of these beams, the swath can optionally be centred with respect to the physical beam or it can be shifted slightly to the near or far range side. Thanks to these additional swath positioning choices, overlaps of more than 50% are provided between adjacent swaths. RADARSAT-2 can operate in single and dual polarisation for this beam mode. BEAM MODE: Fine PRODUCT: SLC, SGX, SGF, SSG, SPG Nominal Pixel Spacing - Range x Azimuth (m) : 4.7 x 5.1 (SLC), 3.13 x 3.13 (SGX), 6.25 x 6.25 (SSG, SPG) Resolution - Range x Azimuth (m): 5.2 x 7.7 (SLC), 10.4 - 6.8 x 7.7 (SGX, SGF, SSG, SPG) Nominal Scene Size - Range x Azimuth (km): 50 x 50 Range of Angle of Incidence (deg): 30 - 50 No. of Looks - Range x Azimuth: 1 x 1 (SLC,SGX, SGF, SSG, SPG) Polarisations - Options: \u2022 Single: HH or VV or HV or VH \u2022 Dual: HH + HV or VV + VH In the Extended Low Incidence Beam Mode, a single Extended Low Incidence Beam, EL1, is provided for imaging in the incidence angle range from 10 to 23 degrees with a nominal ground swath coverage of 170 km. Some minor degradation of image quality can be expected due to operation of the antenna beyond its optimum scan angle range. Only single polarisation is available. BEAM MODE: Extended Low PRODUCT: SLC, SGX, SGF, SSG, SPG Nominal Pixel Spacing - Range x Azimuth (m) : 8.0 x 5.1 (SLC), 10.0 x 10.0 (SGX), 12.5 x 12.5 (SSG, SPG) Nominal Resolution - Range x Azimuth (m): 9.0 x 7.7 (SLC), 52.7 - 23.3 x 24.7 (SGX, SGF, SSG, SPG) Nominal Scene Size - Range x Azimuth (km): 170 x 170 Range of Angle of Incidence (deg): 10 - 23 No. of Looks - Range x Azimuth: 1 x 1 (SLC), 1 x 4 (SGX, SGF, SSG, SPG) Polarisations - Options: Single Pol HH In the Extended High Incidence Beam Mode, six Extended High Incidence Beams, EH1 to EH6, are available for imaging in the 49 to 60 degree incidence angle range. Since these beams operate outside the optimum scan angle range of the SAR antenna, some degradation of image quality, becoming progressively more severe with increasing incidence angle, can be expected when compared with the Standard Beams. Swath widths are restricted to a nominal 80 km for the inner three beams, and 70 km for the outer beams. Only single polarisation available. BEAM MODE: Extended High PRODUCT: SLC, SGX, SGF, SSG, SPG Nominal Pixel Spacing - Range x Azimuth (m) : 11.8 x 5.1 (SLC), 8.0 x 8.0 (SGX), 12.5 x 12.5 (SSG, SPG) Resolution - Range x Azimuth (m): 13.5 x 7.7 (SLC), 18.2 - 15.9 x 24.7 (SGX, SGF, SSG, SPG) Nominal Scene Size - Range x Azimuth (km): 75 x 75 Range of Angle of Incidence (deg): 49 - 60 No. of Looks - Range x Azimuth: 1 x 1 (SLC), 1 x 4 (SGX, SGF, SSG, SPG) Polarisations - Options: Single Pol HH ScanSAR Narrow Beam Mode provides coverage of a ground swath approximately double the width of the Wide Swath Beam Mode swaths. Two swath positions with different combinations of physical beams can be used: SCNA, which uses physical beams W1 and W2, and SCNB, which uses physical beams W2, S5, and S6. Both options provide coverage of swath widths of about 300 km. The SCNA combination provides coverage over the incidence angle range from 20 to 39 degrees. The SCNB combination provides coverage over the incidence angle range 31 to 47 degrees. RADARSAT-2 can operate in single and dual polarisation for this beam mode. BEAM MODE: ScanSAR Narrow PRODUCT: SCN, SCF, SCS Nominal Pixel Spacing - Range x Azimuth (m) : 25 x 25 Nominal Resolution - Range x Azimuth (m):81-38 x 40-70 Nominal Scene Size - Range x Azimuth (km): 300 x 300 Range of Angle of Incidence (deg): 20 - 46 No. of Looks - Range x Azimuth: 2 x 2 Polarisations - Options: \u2022 Single Co or Cross: HH or VV or HV or VH \u2022 Dual: HH + HV or VV + VH ScanSAR Wide Beam Mode provides coverage of a ground swath approximately triple the width of the Wide Swath Beam Mode swaths. Two swath positions with different combinations of physical beams can be used: SCWA, which uses physical beams W1, W2, W3, and S7, and SCWB, which uses physical beams W1, W2, S5 and S6. The SCWA combination allows imaging of a swath of more than 500 km covering an incidence angle range of 20 to 49 degrees. The SCWB combination allows imaging of a swath of more than 450 km covering the incidence angle. Polarisation can be single and dual. BEAM MODE: ScanSAR Wide PRODUCT: SCW, SCF, SCS Nominal Pixel Spacing - Range x Azimuth (m) : 50 x 50 Resolution - Range x Azimuth (m): 163.0 - 73 x 78-106 Nominal Scene Size - Range x Azimuth (km): 500 x 500 Range of Angle of Incidence (deg): 20 - 49 No. of Looks - Range x Azimuth: 4 x 2 Polarisations - Options: \u2022 Single Co or Cross: HH or VV or HV or VH \u2022 Dual: HH + HV or VV + VH These are the different products : SLC (Single Look Complex): Amplitude and phase information is preserved. Data is in slant range. Georeferenced and aligned with the satellite track SGF (Path Image): Data is converted to ground range and may be multi-look processed. Scene is oriented in direction of orbit path. Georeferenced and aligned with the satellite track. SGX (Path Image Plus): Same as SGF except processed with refined pixel spacing as needed to fully encompass the image data bandwidths. Georeferenced and aligned with the satellite track SSG(Map Image): Image is geocorrected to a map projection. SPG (Precision Map Image): Image is geocorrected to a map projection. Ground control points (GCP) are used to improve positional accuracy. SCN(ScanSAR Narrow)/SCF(ScanSAR Wide) : ScanSAR Narrow/Wide beam mode product with original processing options and metadata fields (for backwards compatibility only). Georeferenced and aligned with the satellite track SCF (ScanSAR Fine): ScanSAR product equivalent to SGF with additional processing options and metadata fields. Georeferenced and aligned with the satellite track SCS(ScanSAR Sampled) : Same as SCF except with finer sampling. Georeferenced and aligned with the satellite track",
"license": "proprietary"
},
{
@@ -158236,7 +158353,7 @@
"license": "proprietary"
},
{
- "id": "RapidEye.ESA.archive_NA",
+ "id": "RapidEye.ESA.archive_7.0",
"title": "RapidEye ESA archive",
"catalog": "ESA STAC Catalog",
"state_date": "2009-02-22",
@@ -158244,12 +158361,12 @@
"bbox": "-180, -84, 180, 84",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336937-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336937-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/RapidEye.ESA.archive_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/RapidEye.ESA.archive_7.0",
"description": "The RapidEye ESA archive is a subset of the RapidEye Full archive that ESA collected over the years. The dataset regularly grows as ESA collects new RapidEye products.",
"license": "proprietary"
},
{
- "id": "RapidEye.Full.archive_NA",
+ "id": "RapidEye.Full.archive_6.0",
"title": "RapidEye Full Archive",
"catalog": "ESA STAC Catalog",
"state_date": "2009-02-01",
@@ -158257,12 +158374,12 @@
"bbox": "-180, -84, 180, 84",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2547572717-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2547572717-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/RapidEye.Full.archive_NA",
- "description": "The RapidEye Level 3A Ortho Tile, both Visual (in natural colour) and Analytic (multispectral), full archive and new tasking products are available as part of Planet imagery offer. The RapidEye Ortho Tile product (L3A) is radiometric, sensor and geometrically corrected (by using DEMs with a post spacing of between 30 and 90 meters) and aligned to a cartographic map projection. Ground Control Points (GCPs) are used in the creation of every image and the accuracy of the product will vary from region to region based on available GCPs. Product Components and Format: \u2022 Image File \u2013 GeoTIFF file that contains image data and geolocation information \u2022 Metadata File \u2013 XML format metadata file \u2022 Unusable Data Mask (UDM) file \u2013 GeoTIFF format Bands: 3-band natural color (blue, green, red) or 5-band multispectral image (blue, green, red, red edge, near-infrared) Ground Sampling Distance (nadir): 6.5 m at nadir (average at reference altitude 475 km) Projection: UTM WGS84 Accuracy: depends on the quality of the reference data used (GCPs and DEMs) The products are available as part of the Planet provision from RapidEye, Skysat and PlanetScope constellations.RapidEye collection has worldwide coverage: the Planet Explorer Catalogue (https://www.planet.com/explorer/) can be accessed (Planet registration requested) to discover and check the data readiness. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability (https://earth.esa.int/eogateway/documents/20142/37627/Access-to-ESAs-Planet-Missions-Terms-of-Applicability.pdf).",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/RapidEye.Full.archive_6.0",
+ "description": "The RapidEye Level 3A Ortho Tile, both Visual (in natural colour) and Analytic (multispectral), full archive and new tasking products are available as part of Planet imagery offer. The RapidEye Ortho Tile product (L3A) is radiometric, sensor and geometrically corrected (by using DEMs with a post spacing of between 30 and 90 meters) and aligned to a cartographic map projection. Ground Control Points (GCPs) are used in the creation of every image and the accuracy of the product will vary from region to region based on available GCPs. Product Components and Format: \u2022 Image File \u2013 GeoTIFF file that contains image data and geolocation information \u2022 Metadata File \u2013 XML format metadata file \u2022 Unusable Data Mask (UDM) file \u2013 GeoTIFF format Bands: 3-band natural color (blue, green, red) or 5-band multispectral image (blue, green, red, red edge, near-infrared) Ground Sampling Distance (nadir): 6.5 m at nadir (average at reference altitude 475 km) Projection: UTM WGS84 Accuracy: depends on the quality of the reference data used (GCPs and DEMs) The products are available as part of the Planet provision from RapidEye, Skysat and PlanetScope constellations.RapidEye collection has worldwide coverage: the Planet Explorer Catalogue (https://www.planet.com/explorer/) can be accessed (Planet registration requested) to discover and check the data readiness. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability (https://earth.esa.int/eogateway/documents/20142/37627/Access-to-ESAs-Planet-Missions-Terms-of-Applicability.pdf).",
"license": "proprietary"
},
{
- "id": "RapidEye.South.America_NA",
+ "id": "RapidEye.South.America_6.0",
"title": "RapidEye South America",
"catalog": "ESA STAC Catalog",
"state_date": "2012-07-12",
@@ -158270,12 +158387,12 @@
"bbox": "-81, -41, 54, 1",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336940-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336940-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/RapidEye.South.America_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/RapidEye.South.America_6.0",
"description": "ESA, in collaboration with BlackBridge, has collected this RapidEye dataset of level 3A tiles covering more than 6 million km2 of South American countries: Paraguay, Ecuador, Chile, Bolivia, Peru, Uruguay and Argentina. The area is fully covered with low cloud coverage",
"license": "proprietary"
},
{
- "id": "RapidEye.time.series.for.Sentinel-2_NA",
+ "id": "RapidEye.time.series.for.Sentinel-2_6.0",
"title": "RapidEye time series for Sentinel-2",
"catalog": "ESA STAC Catalog",
"state_date": "2013-02-06",
@@ -158283,7 +158400,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336941-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336941-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/RapidEye.time.series.for.Sentinel-2_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/RapidEye.time.series.for.Sentinel-2_6.0",
"description": "The European Space Agency, in collaboration with BlackBridge collected 2 time series datasets with a 5 day revisit at high resolution: \u2022 February to June 2013 over 14 selected sites around the world \u2022 April to September 2015 over 10 selected sites around the world The RapidEye Earth Imaging System provides data at 5 m spatial resolution (multispectral L3A orthorectified). The products are radiometrically and sensor corrected similar to the 1B Basic product, but have geometric corrections applied to the data during orthorectification using DEMs and GCPs. The product accuracy depends on the quality of the ground control and DEMs used. The imagery is delivered in GeoTIFF format with a pixel spacing of 5 metres. The dataset is composed of data over: \u2022 14 selected sites in 2013: Argentina, Belgium, Chesapeake Bay, China, Congo, Egypt, Ethiopia, Gabon, Jordan, Korea, Morocco, Paraguay, South Africa and Ukraine. \u2022 10 selected sites in 2015: Limburgerhof, Railroad Valley, Libya4, Algeria4, Figueres, Libya1, Mauritania1, Barrax, Esrin, Uyuni Salt Lake.",
"license": "proprietary"
},
@@ -158366,7 +158483,7 @@
"license": "proprietary"
},
{
- "id": "ResourceSat-1-IRS-P6.archive_NA",
+ "id": "ResourceSat-1-IRS-P6.archive_6.0",
"title": "ResourceSat-1/IRS-P6 full archive",
"catalog": "ESA STAC Catalog",
"state_date": "2003-11-01",
@@ -158374,12 +158491,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336942-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336942-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ResourceSat-1-IRS-P6.archive_NA",
- "description": "ResourceSat-1 (also known as IRS-P6) archive products are available as below. \u2022 LISS-IV MN: Mono-Chromatic, Resolution 5 m, Coverage 70 km x 70 km, Radiometrically and Ortho (DN) corrected, Acquisition in Neustrelitz 2004 - 2010, Global Archive 2003 - 2013 \u2022 LISS-III: Multi-spectral, Resolution 20 m, Coverage 140 km x 140 km, Radiometrically and Ortho (DN) corrected (ortho delivered without Band 5), Acquisition in Neustrelitz 2004 - 2013, Global Archive 2003 - 2013 \u2022 AWiFS: Multi-spectral, Resolution 60 m, Coverage 370 km x 370 km, Radiometrically and Ortho (DN) corrected, Acquisition in Neustrelitz 2004 - 2013, Global Archive 2003 - 2013 Note: \u2022 LISS-IV: Mono-Chromatic, the band is selectable. In practice the red is used. \u2022 For LISS-IV MN and LISS-III ortho corrected: If unavailable, user has to supply ground control information and DEM in suitable qualityFor AWiFS ortho corrected: service based on in house available ground control information and DEM The products are available as part of the GAF Imagery products from the Indian missions: IRS-1C, IRS-1D, CartoSat-1 (IRS-P5), ResourceSat-1 (IRS-P6) and ResourceSat-2 (IRS-R2) missions. \u2018ResourceSat-1 archive\u2019 collection has worldwide coverage: for data acquired over Neustrelitz footprint, the users can browse the EOWEB GeoPortal catalogue (http://www.euromap.de/products/serv_003.html) to search archived products; worldwide data (out the Neustrelitz footprint) can be requested by contacting GAF user support to check the readiness since no catalogue is not available. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability (https://earth.esa.int/eogateway/documents/20142/37627/Indian-Data-Terms-Of-Applicability.pdf).",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ResourceSat-1-IRS-P6.archive_6.0",
+ "description": "ResourceSat-1 (also known as IRS-P6) archive products are available as below. \u2022 LISS-IV MN: Mono-Chromatic, Resolution 5 m, Coverage 70 km x 70 km, Radiometrically and Ortho (DN) corrected, Acquisition in Neustrelitz 2004 - 2010, Global Archive 2003 - 2013 \u2022 LISS-III: Multi-spectral, Resolution 20 m, Coverage 140 km x 140 km, Radiometrically and Ortho (DN) corrected (ortho delivered without Band 5), Acquisition in Neustrelitz 2004 - 2013, Global Archive 2003 - 2013 \u2022 AWiFS: Multi-spectral, Resolution 60 m, Coverage 370 km x 370 km, Radiometrically and Ortho (DN) corrected, Acquisition in Neustrelitz 2004 - 2013, Global Archive 2003 - 2013 Note: \u2022 LISS-IV: Mono-Chromatic, the band is selectable. In practice the red is used. \u2022 For LISS-IV MN and LISS-III ortho corrected: If unavailable, user has to supply ground control information and DEM in suitable qualityFor AWiFS ortho corrected: service based on in house available ground control information and DEM The products are available as part of the GAF Imagery products from the Indian missions: IRS-1C, IRS-1D, CartoSat-1 (IRS-P5), ResourceSat-1 (IRS-P6) and ResourceSat-2 (IRS-R2) missions. \u2018ResourceSat-1 archive\u2019 collection has worldwide coverage: for data acquired over Neustrelitz footprint, the users can browse the EOWEB GeoPortal catalogue (http://www.euromap.de/products/serv_003.html) to search archived products; worldwide data (out the Neustrelitz footprint) can be requested by contacting GAF user support to check the readiness since no catalogue is not available. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability (https://earth.esa.int/eogateway/documents/20142/37627/Indian-Data-Terms-Of-Applicability.pdf).",
"license": "proprietary"
},
{
- "id": "ResourceSat-2.archive.and.tasking_NA",
+ "id": "ResourceSat-2.archive.and.tasking_6.0",
"title": "ResourceSat-2 full archive and tasking",
"catalog": "ESA STAC Catalog",
"state_date": "2011-05-01",
@@ -158387,8 +158504,8 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336944-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336944-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ResourceSat-2.archive.and.tasking_NA",
- "description": "ResourceSat-2 (also known as IRS-R2) archive and tasking products are available as below: Sensor: LISS-IV Type: Mono-Chromatic Resolution (m): 5 Coverage (km x km): 70 x 70 System or radiometrically corrected and Ortho corrected (DN) Neustralitz archive: 2014 Global archive: 2011 Sensor: LISS-III Type: Multi-spectral Resolution (m): 20 Coverage (km x km): 140 x 140 System or radiometrically corrected, Ortho corrected (DN) and Ortho corrected (TOA reflectance) Neustralitz archive: 2014 Global archive: 2011 Sensor: AWiFS Type: Multi-spectral Resolution (m): 60 Coverage (km x km): 370 x 370 System or radiometrically corrected, Ortho corrected (DN) and Ortho corrected (TOA reflectance) Neustralitz archive: 2014 Global archive: 2011 Note: \u2022 LISS-IV: Mono-Chromatic, the band is selectable. In practice the red is used.For LISS-IV MN and LISS-III ortho corrected: If unavailable, user has to supply ground control information and DEM in suitable qualityFor AWiFS ortho corrected: service based on in house available ground control information and DEM The products are available as part of the GAF Imagery products from the Indian missions: IRS-1C, IRS-1D, CartoSat-1 (IRS-P5), ResourceSat-1 (IRS-P6) and ResourceSat-2 (IRS-R2) missions. \u2018ResourceSat-2 archive and tasking\u2019 collection has worldwide coverage: for data acquired over Neustrelitz footprint, the users can browse the EOWEB GeoPortal catalogue (http://www.euromap.de/products/serv_003.html) to search archived products; worldwide data (out the Neustrelitz footprint) can be requested by contacting GAF user support to check the readiness since no catalogue is not available. All details about the data provision, data access conditions and quota assignment procedure are described in the Terms of Applicability (https://earth.esa.int/eogateway/documents/20142/37627/Indian-Data-Terms-Of-Applicability.pdf).",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ResourceSat-2.archive.and.tasking_6.0",
+ "description": "ResourceSat-2 (also known as IRS-R2) archive and tasking products are available as below: Sensor: LISS-IV Type: Mono-Chromatic Resolution (m): 5 Coverage (km x km): 70 x 70 System or radiometrically corrected and Ortho corrected (DN) Neustralitz archive: 2014 Global archive: 2011 Sensor: LISS-III Type: Multi-spectral Resolution (m): 20 Coverage (km x km): 140 x 140 System or radiometrically corrected, Ortho corrected (DN) and Ortho corrected (TOA reflectance) Neustralitz archive: 2014 Global archive: 2011 Sensor: AWiFS Type: Multi-spectral Resolution (m): 60 Coverage (km x km): 370 x 370 System or radiometrically corrected, Ortho corrected (DN) and Ortho corrected (TOA reflectance) Neustralitz archive: 2014 Global archive: 2011 Note: \u2022 LISS-IV: Mono-Chromatic, the band is selectable. In practice the red is used.For LISS-IV MN and LISS-III ortho corrected: If unavailable, user has to supply ground control information and DEM in suitable qualityFor AWiFS ortho corrected: service based on in house available ground control information and DEM The products are available as part of the GAF Imagery products from the Indian missions: IRS-1C, IRS-1D, CartoSat-1 (IRS-P5), ResourceSat-1 (IRS-P6) and ResourceSat-2 (IRS-R2) missions. \u2018ResourceSat-2 archive and tasking\u2019 collection has worldwide coverage: for data acquired over Neustrelitz footprint, the users can browse the EOWEB GeoPortal catalogue (http://www.euromap.de/products/serv_003.html) to search archived products; worldwide data (out the Neustrelitz footprint) can be requested by contacting GAF user support to check the readiness since no catalogue is not available. All details about the data provision, data access conditions and quota assignment procedure are described in the Terms of Applicability (https://earth.esa.int/eogateway/documents/20142/37627/Indian-Data-Terms-Of-Applicability.pdf).",
"license": "proprietary"
},
{
@@ -159848,7 +159965,7 @@
"license": "proprietary"
},
{
- "id": "SAR_IMM_1P_NA",
+ "id": "SAR_IMM_1P_10.0",
"title": "ERS-1/2 SAR IM Medium Resolution L1 [SAR_IMM_1P]",
"catalog": "ESA STAC Catalog",
"state_date": "1991-07-27",
@@ -159856,12 +159973,12 @@
"bbox": "-180, -82, 180, 82",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336945-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336945-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/SAR_IMM_1P_NA",
- "description": "This ERS Medium Resolution strip-line product is generated from the Image Mode Level 0 Product. Strip-line image products contain image data for an entire segment, up to a maximum size of 10 minutes per product for IM mode. The processor concatenates together several sub-images called \"slices\" that were processed separately on a dataset-by-dataset basis in order to form the entire strip-line image. The product is processed to an approximately 150 m x 150 m resolution and has a radiometric resolution that is good enough for ice applications. This product has a lower spatial resolution than the SAR_IMP_1P and SAR_IMS_1P products. The SAR IM L0 full mission data archive has been bulk processed to Level 1 (SAR_IMM_1P) in Envisat format with the PF-ERS processor version 6.01. Product Characteristics: - Pixel size: 5 m (ground range \u2013 across track) x 75 m (azimuth \u2013 along track) - Scene area: 100 km (range) x at least 102.5 km - Scene Size: 1300 pixels (range) x at least 1350 lines (azimuth) - Pixel depth: 16 bits unsigned integer - Total product volume: at least 3.5 MB - Projection: Ground-range - Number of looks: 8 (azimuth) x 7 (range)",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/SAR_IMM_1P_10.0",
+ "description": "This ERS Medium Resolution strip-line product is generated from the Image Mode Level 0 Product. Strip-line image products contain image data for an entire segment, up to a maximum size of 10 minutes per product for IM mode. The processor concatenates together several sub-images called "slices" that were processed separately on a dataset-by-dataset basis in order to form the entire strip-line image. The product is processed to an approximately 150 m x 150 m resolution and has a radiometric resolution that is good enough for ice applications. This product has a lower spatial resolution than the SAR_IMP_1P and SAR_IMS_1P products. The SAR IM L0 full mission data archive has been bulk processed to Level 1 (SAR_IMM_1P) in Envisat format with the PF-ERS processor version 6.01. Product Characteristics: - Pixel size: 5 m (ground range \u2013 across track) x 75 m (azimuth \u2013 along track) - Scene area: 100 km (range) x at least 102.5 km - Scene Size: 1300 pixels (range) x at least 1350 lines (azimuth) - Pixel depth: 16 bits unsigned integer - Total product volume: at least 3.5 MB - Projection: Ground-range - Number of looks: 8 (azimuth) x 7 (range)",
"license": "proprietary"
},
{
- "id": "SAR_IMP_1P_NA",
+ "id": "SAR_IMP_1P_8.0",
"title": "ERS-1/2 SAR IM Precision L1 [SAR_IMP_1P]",
"catalog": "ESA STAC Catalog",
"state_date": "1991-07-27",
@@ -159869,12 +159986,12 @@
"bbox": "-180, -82, 180, 82",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1532648151-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1532648151-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/SAR_IMP_1P_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/SAR_IMP_1P_8.0",
"description": "The SAR Precision product is a multi-look (speckle-reduced), ground range image acquired in Image Mode. This product type is most applicable to users interested in remote sensing applications, but is also suitable for calibration purposes. The products are calibrated and corrected for the SAR antenna pattern and range-spreading loss. Radar backscatter can be derived from the products for geophysical modelling, but no correction is applied for terrain-induced radiometric effects. The images are not geocoded, and terrain distortion (foreshortening and layover) has not been removed. The numbering sequence relates to the satellite position and therefore differs between Ascending and Descending scenes. Product characteristics: - Pixel size: 12.5 m (range - across track) x 12.5 m (azimuth - along track) - Scene area: 100 km (range) x at least 102.5 km (azimuth) - Scene size: 8000 pixels range x at least 8200 lines (azimuth) - Pixel depth: 16 bits unsigned integer - Total product volume: 125 MBs - Projection: Ground-range - Number of looks: 3",
"license": "proprietary"
},
{
- "id": "SAR_IMS_1P_NA",
+ "id": "SAR_IMS_1P_8.0",
"title": "ERS-1/2 SAR IM Single Look Complex L1 [SAR_IMS_1P]",
"catalog": "ESA STAC Catalog",
"state_date": "1991-07-27",
@@ -159882,12 +159999,12 @@
"bbox": "-180, -82, 180, 82",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1532648152-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1532648152-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/SAR_IMS_1P_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/SAR_IMS_1P_8.0",
"description": "The SAR SLC product is a single look complex acquired in Image Mode. It is a digital image, with slant range and phase preserved, generated from raw SAR data using up-to-date auxiliary parameters. The products are intended for use in SAR quality assessment, calibration and interferometric applications. A minimum number of corrections and interpolations are performed on the data. Absolute calibration parameters (when available) are provided in the product annotation. Product characteristics: - Pixel size: 8 m (range - across track) x 4 m (azimuth - along track \u2013 varying slightly depending on acquisition Pulse Repetition Frequency) - Scene area: 100 km (range) x at least 102.5 km (azimuth) - Scene size: 5000 samples (range) x at least 30000 lines (azimuth) - Pixel depth: 32 bits signed integer (16 bits I, 16 bits Q) - Total product volume: 575 MB - Projection: Slant range - Number of looks: 1",
"license": "proprietary"
},
{
- "id": "SAR_IM_0P_NA",
+ "id": "SAR_IM_0P_9.0",
"title": "ERS-1/2 SAR IM L0 [SAR_IM__0P]",
"catalog": "ESA STAC Catalog",
"state_date": "1991-07-27",
@@ -159895,7 +160012,7 @@
"bbox": "-180, -82, 180, 82",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336946-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336946-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/SAR_IM_0P_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/SAR_IM_0P_9.0",
"description": "This SAR Level 0 product is acquired in Image Mode. The products consist of the SAR telemetry data and are supplied as standard scenes. It also contains all the required auxiliary data necessary for data processing. The product serves two main purposes: For testing ERS SAR processors independently from the HDDR system For users interested in full SAR data processing. Product characteristics: - Scene area: 100 km (range - across track) x full segment length (azimuth - along track) - Scene size: 5616 samples (range) x full segment length (azimuth) - Pixel depth: 10 bits signed integer (5 bits I, 5 bits Q) - Projection: Slant range",
"license": "proprietary"
},
@@ -160654,7 +160771,46 @@
"license": "proprietary"
},
{
- "id": "SCI_NL__1P_NA",
+ "id": "SCIAMACHYLevel1_2.0",
+ "title": "Envisat SCIAMACHY Level 1b [SCI_____1P]",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "2002-08-02",
+ "end_date": "2012-04-08",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394400-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394400-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/SCIAMACHYLevel1_2.0",
+ "description": "This Envisat SCIAMACHY Level 1b Geo-located atmospheric spectra V.10 dataset is generated from the full mission reprocessing campaign completed in 2023 under the _$$ESA FDR4ATMOS project$$ https://atmos.eoc.dlr.de/FDR4ATMOS/ . This data product contains SCIAMACHY geo-located (ir)radiance spectra for Nadir, Limb, and Occultation measurements (Level 1), accompanied by supplementary monitoring and calibration measurements, along with instrumental parameters detailing the operational status and configuration throughout the Envisat satellite lifetime (2002-2012). Additionally, calibrated lunar measurements, including individual readings and averaged disk measurements, have been integrated into the Level 1b product. The Level 1b product represents the lowest level of SCIAMACHY data made available to the users. The measurements undergo correction for instrument degradation applying a scan mirror model and m-factors. However, spectra are partially calibrated and require a further step to apply specific calibrations with the SCIAMACHY Calibration and Extraction Tool [_$$SciaL1c$$ https://earth.esa.int/eogateway/tools/scial1c-command-line-tool ]. For many aspects, the SCIAMACHY Level 1b version 10 product marks a significant improvement with respect to previous mission datasets, supplanting the Level 1b dataset version 8.0X with product type SCI_NL__1P. Users are strongly encouraged to make use of the new datasets for optimal results. The new products are conveniently formatted in NetCDF. Free standard tools, such as _$$Panoply$$ https://www.giss.nasa.gov/tools/panoply/ , can be used to read NetCDF data. Panoply is sourced and updated by external entities. For further details, please consult our _$$Terms and Conditions page$$ https://earth.esa.int/eogateway/terms-and-conditions . Please refer to the _$$README$$ https://earth.esa.int/documents/d/earth-online/rmf_0013_sci_____1p_l1v10 file for essential guidance before using the data.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SCIAMACHYLevel2LimbOzone_3.0",
+ "title": "Envisat SCIAMACHY Level 2 - Limb Ozone [SCI_LIMBO3]",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "2002-08-02",
+ "end_date": "2012-04-08",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325393549-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325393549-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/SCIAMACHYLevel2LimbOzone_3.0",
+ "description": "This Envisat SCIAMACHY Ozone stratospheric profiles dataset has been extracted from the previous baseline (v6.01) of the SCIAMACHY Level 2 data. The dataset is generated in the framework of the full mission reprocessing campaign completed in 2023 under the _$$ESA FDR4ATMOS project$$ https://atmos.eoc.dlr.de/FDR4ATMOS/ . For optimal results, users are strongly encouraged to make use of these specific ozone limb profiles rather than the ones contained in the _$$SCIAMACHY Level 2 dataset version 7.1$$ https://earth.esa.int/eogateway/catalog/envisat-sciamachy-total-column-densities-and-stratospheric-profiles-sci_ol__2p- . The new products are conveniently formatted in NetCDF. Free standard tools, such as _$$Panoply$$ https://www.giss.nasa.gov/tools/panoply/ , can be used to read NetCDF data. Panoply is sourced and updated by external entities. For further details, please consult our _$$Terms and Conditions page$$ https://earth.esa.int/eogateway/terms-and-conditions . Please refer to the _$$README$$ https://earth.esa.int/eogateway/documents/20142/37627/ENVI-GSOP-EOGD-QD-16-0132.pdf file (L2 v6.01) for essential guidance before using the data.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SCIAMACHYLevel2_2.0",
+ "title": "Envisat SCIAMACHY Level 2 [SCI_____2P]",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "2002-08-02",
+ "end_date": "2012-04-08",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394519-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394519-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/SCIAMACHYLevel2_2.0",
+ "description": "This Envisat SCIAMACHY Level 2 Total column densities and stratospheric profiles v7.1 dataset is generated from the full mission reprocessing campaign completed in 2023 under the _$$ESA FDR4ATMOS project$$ https://atmos.eoc.dlr.de/FDR4ATMOS/ . It provides atmospheric columnar distributions and stratospheric profiles for various trace gases based on the Level 1b version 10 products. This SCIAMACHY Level 2 dataset contains total column densities of O3, NO2, OClO, H2O, SO2, BrO, CO, HCHO, CHOCHO and CH4 retrieved from Nadir measurements. Additionally, cloud parameters (fractional coverage, top height, optical thickness) and an aerosol absorption indicator are enclosed. Stratospheric profiles of O3, NO2, and BrO are derived from limb measurements, along with flagging information for different cloud-types. Tropospheric NO2 and BrO columns are retrieved combining limb and nadir measurements. This SCIAMACHY Level 2 dataset version 7.1 replaces the previous version 6.01. Users are strongly encouraged to make use of the new datasets for optimal results. For limb O3 profiles, a separate product derived from the previous Version 6 processor is provided distinctly -> _$$SCIAMACHY Level 2 - Limb Ozone [SCI_LIMBO3]$$ https://earth.esa.int/eogateway/catalog/envisat-sciamachy-ozone-stratospheric-profiles-sci_limbo3 . This is because the V7.1 limb ozone data is unsuitable for long-term change studies due to its divergent behavior from earlier processor versions, particularly from 2009 onwards. This divergence stems from residual deficiencies in the Level 1, resulting in a vertical oscillating pattern in the drift and bias profiles. In contrast, Version 6 limb ozone data does not exhibit these oscillations in bias and drift. Further details on this issue can be found in the _$$latest README$$ https://earth.esa.int/documents/d/earth-online/rmf_0014_sci_____2p_l2v7-1 file. The new products are conveniently formatted in NetCDF. Free standard tools, such as _$$Panoply$$ https://www.giss.nasa.gov/tools/panoply/ , can be used to read NetCDF data. Panoply is sourced and updated by external entities. For further details, please consult our _$$Terms and Conditions page$$ https://earth.esa.int/eogateway/terms-and-conditions . Please refer to the _$$README$$ https://earth.esa.int/documents/d/earth-online/rmf_0014_sci_____2p_l2v7-1 file for essential guidance before using the data.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SCI_NL__1P_6.0",
"title": "Envisat SCIAMACHY Geo-located atmospheric spectra [SCI_NL__1P]",
"catalog": "ESA STAC Catalog",
"state_date": "2002-08-02",
@@ -160662,12 +160818,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336947-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336947-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/SCI_NL__1P_NA",
- "description": "This data product covers geo-located, radiometrically and spectrally calibrated limb and nadir radiance spectra for Nadir, Limb, and Occultation measurements with additional monitoring and calibration measurements. The Level 1b product is the lowest level of SCIAMACHY data delivered to the users. The instrument Instantaneous Field of View (IFoV) is approximately 0.045 deg (scan direction) x 1.8 deg (flight direction). This corresponds to a ground pixel size of 25 Km x 0.6 km at the sub-satellite point (nadir) and of 103 km x 2.6 km at the Earth's horizon (limb). Nadir measurements have a maximum swath width of 960 km (in scan direction) and a typical footprint of 30 km (along track) x 60 km (across track). Limb measurements have a tangent height range spanning from 0 to 100 km with 3 km vertical resolution. Azimuth scans are performed for constant elevation angle, typically 34 elevation steps per limb scan. Maximum azimuth range is +/- 44 deg relative to S/C velocity (Note that the azimuth range is adjusted to observe the same atmospheric volume as for nadir measurements within five minutes). The radiometric resolution is 16 bits, with a spectral resolution of 0.24 nm to 1.5 nm, depending on the spectral range. The Sun normalized radiometric accuracy is 2 to 3% in unpolarized light, and 3 to 4% in polarized light. The relative radiometric accuracy is less than 1% and the spectral accuracy spans form 0.005 nm to 0.035 nm. Individual measurements from dedicated monitoring states include: Sun over diffuser Subsolar calibration Spectral lamp measurements White light source measurements Elevation mirror monitoring (Sun/Moon) ADC calibration Level 1b products are corrected for degradation applying a scan mirror model and m-factors. The latest Level 1b dataset is version 8.0X.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/SCI_NL__1P_6.0",
+ "description": "This data product covers geo-located, radiometrically and spectrally calibrated limb and nadir radiance spectra for Nadir, Limb, and Occultation measurements with additional monitoring and calibration measurements. The Level 1b product is the lowest level of SCIAMACHY data delivered to the users. The instrument Instantaneous Field of View (IFoV) is approximately 0.045 deg (scan direction) x 1.8 deg (flight direction). This corresponds to a ground pixel size of 25 Km x 0.6 km at the sub-satellite point (nadir) and of 103 km x 2.6 km at the Earth's horizon (limb). Nadir measurements have a maximum swath width of 960 km (in scan direction) and a typical footprint of 30 km (along track) x 60 km (across track). Limb measurements have a tangent height range spanning from 0 to 100 km with 3 km vertical resolution. Azimuth scans are performed for constant elevation angle, typically 34 elevation steps per limb scan. Maximum azimuth range is +/- 44 deg relative to S/C velocity (Note that the azimuth range is adjusted to observe the same atmospheric volume as for nadir measurements within five minutes). The radiometric resolution is 16 bits, with a spectral resolution of 0.24 nm to 1.5 nm, depending on the spectral range. The Sun normalized radiometric accuracy is 2 to 3% in unpolarized light, and 3 to 4% in polarized light. The relative radiometric accuracy is less than 1% and the spectral accuracy spans form 0.005 nm to 0.035 nm. Individual measurements from dedicated monitoring states include: Sun over diffuser Subsolar calibration Spectral lamp measurements White light source measurements Elevation mirror monitoring (Sun/Moon) ADC calibration Level 1b products are corrected for degradation applying a scan mirror model and m-factors. The latest Level 1b dataset is version 8.0X.",
"license": "proprietary"
},
{
- "id": "SCI_OL__2P_NA",
+ "id": "SCI_OL__2P_6.0",
"title": "Envisat SCIAMACHY Total column densities and stratospheric profiles [SCI_OL__2P]",
"catalog": "ESA STAC Catalog",
"state_date": "2002-08-02",
@@ -160675,7 +160831,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336948-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336948-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/SCI_OL__2P_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/SCI_OL__2P_6.0",
"description": "The data product provides global column distributions and stratospheric profiles of various trace gases. Total column densities of O3, NO2, OClO, H2O, SO2, BrO, CO, HCHO, CHOCHO and CH4 are retrieved from Nadir measurements. Additional cloud parameters (fractional cloud coverage, cloud-top height, cloud optical thickness) and an aerosol absorption indicator are enclosed. Stratospheric profiles of O3, NO2, and BrO are derived from limb measurements, also with flagging information for cloud-types. Tropospheric NO2 columns are retrieved combining limb and nadir measurements. The latest Level 2 dataset is version 6.01.",
"license": "proprietary"
},
@@ -163696,7 +163852,7 @@
"license": "proprietary"
},
{
- "id": "SMOS_Open_V7_NA",
+ "id": "SMOS_Open_V7_5.0",
"title": "SMOS L1 and L2 Science data",
"catalog": "ESA STAC Catalog",
"state_date": "2010-01-12",
@@ -163704,8 +163860,8 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2207506566-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2207506566-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/SMOS_Open_V7_NA",
- "description": "Level 1 SMOS data products are designed for scientific and operational users who need to work with calibrated MIRAS instrument measurements, while Level 2 SMOS data products are designed for scientific and operational users who need to work with geo-located soil moisture and sea surface salinity estimation as retrieved from Level 1 dataset. Products from the operational pipeline in the SMOS Data Processing Ground Segment (DPGS) https://earth.esa.int/eogateway/missions/smos/description, located at the European Space Astronomy Centre (ESAC), have File Class \"\"OPER\"\", while reprocessed data is tagged as \"\"REPR\"\". For an optimal exploitation of the current SMOS L1 and L2 data set please consult the read-me-first notes. The Level 1A product comprises all calibrated visibilities between receivers (i.e. the interferometric measurements from the sensor including the redundant visibilities), combined per integration time of 1.2s (snapshot). The snapshots are consolidated in a pole-to-pole product file (50 minutes of sensing time) with a maximum size of about 215MB per half orbit (29 half orbits per day). The Level 1B product comprises the result of the image reconstruction algorithm applied to the L1A data. As a result, the reconstructed image at L1B is simply the difference between the sensed scene by the sensor and the artificial scene. The brightness temperature image is available in its Fourier component in the antenna polarisation reference frame top of the atmosphere. Images are combined per integration time of 1.2 seconds (snapshot). The removal of foreign sources (Galactic, Direct Sun, Moon) is also included in the reconstruction. Snapshot consolidation is as per L1A, with a maximum product size of about 115MB per half orbit. ESA provides the Artificial Scene Library (ASL) to add the artificial scene in L1B for any user that wants to start from L1B products and derive the sensed scene. The Level 1C product contains multi-angular brightness temperatures in antenna frame (X-pol, Y-pol, T3 and T4) at the top of the atmosphere, geo-located in an equal-area grid system (ISEA 4H9 - Icosahedral Snyder Equal Area projection). Two L1C products are available: Land for soil moisture retrieval and Sea for sea surface salinity retrieval. The pixels are consolidated in a pole-to-pole product file (50 minutes of sensing time), with a maximum size of about 350MB per half orbit (29 half orbits per day). Spatial resolution is in the range of 30-50 km. For each L1C product there is also a corresponding Browse product containing brightness temperatures interpolated for an incidence angle of 42.5\u00b0. The Level 2 Soil Moisture (SM) product comprises soil moisture measurements geo-located in an equal-area grid system ISEA 4H9. The product contains not only the retrieved soil moisture, but also a series of ancillary data derived from the processing (nadir optical thickness, surface temperature, roughness parameter, dielectric constant and brightness temperature retrieved at top of atmosphere and on the surface) with the corresponding uncertainties. The pixels are consolidated in a pole-to-pole product file (50 minutes of sensing time), with a maximum size of about 7MB (25MB uncompressed data) per half orbit (29 half orbits per day). The Level 2 Ocean Salinity (OS) product comprises sea surface salinity measurements geo-located in an equal-area grid system ISEA 4H9. The product contains one single swath-based sea surface salinity retrieved with and without Land-Sea contamination correction, SSS anomaly based on WOA-2009 referred to Land-Sea corrected sea surface salinity, brightness temperature at the top of the atmosphere and at the sea surface with their corresponding uncertainties. The pixels are consolidated in a pole-to-pole product file (50 minutes of sensing time), with a maximum size of about 10MB (25MB uncompressed data) per half orbit (29 half orbits per day). The following Science data products, belonging to the latest processing baseline, are openly available to all users: MIR_SC_F1B/MIR_SC_D1B: Level 1B product, FULL/DUAL polarisation mode, in Earth Explorer format MIR_SCLF1C/MIR_SCLD1C: Level 1C product over Land, FULL/DUAL polarisation mode, in Earth Explorer format MIR_SCSF1C/MIR_SCSD1C: Level 1C product over Sea, FULL/DUAL polarisation mode, in Earth Explorer format MIR_BWLF1C/MIR_BWLD1C: Level 1C Browse product over Land, FULL/DUAL polarisation mode, in Earth Explorer format MIR_BWSF1C/MIR_BWSD1C: Level 1C Browse product over Sea, FULL/DUAL polarisation mode, in Earth Explorer format MIR_SMUDP2: Level 2 Soil Moisture product, in Earth Explorer and NetCDF format MIR_OSUDP2: Level 2 Sea Surface Salinity product, in Earth Explorer and NetCDF format Access to the following Science data products is restricted to SMOS CalVal users: MIR_SC_F1A/MIR_SC_D1A: Level 1A product, FULL/DUAL polarisation mode, in Earth Explorer format. For an optimal exploitation of the current SMOS L1 and L2 data set please consult the read-me-first notes available in the Resources section below.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/SMOS_Open_V7_5.0",
+ "description": "Level 1 SMOS data products are designed for scientific and operational users who need to work with calibrated MIRAS instrument measurements, while Level 2 SMOS data products are designed for scientific and operational users who need to work with geo-located soil moisture and sea surface salinity estimation as retrieved from Level 1 dataset. Products from the operational pipeline in the SMOS Data Processing Ground Segment (DPGS) https://earth.esa.int/eogateway/missions/smos/description, located at the European Space Astronomy Centre (ESAC), have File Class ""OPER"", while reprocessed data is tagged as ""REPR"". For an optimal exploitation of the current SMOS L1 and L2 data set please consult the read-me-first notes. The Level 1A product comprises all calibrated visibilities between receivers (i.e. the interferometric measurements from the sensor including the redundant visibilities), combined per integration time of 1.2s (snapshot). The snapshots are consolidated in a pole-to-pole product file (50 minutes of sensing time) with a maximum size of about 215MB per half orbit (29 half orbits per day). The Level 1B product comprises the result of the image reconstruction algorithm applied to the L1A data. As a result, the reconstructed image at L1B is simply the difference between the sensed scene by the sensor and the artificial scene. The brightness temperature image is available in its Fourier component in the antenna polarisation reference frame top of the atmosphere. Images are combined per integration time of 1.2 seconds (snapshot). The removal of foreign sources (Galactic, Direct Sun, Moon) is also included in the reconstruction. Snapshot consolidation is as per L1A, with a maximum product size of about 115MB per half orbit. ESA provides the Artificial Scene Library (ASL) to add the artificial scene in L1B for any user that wants to start from L1B products and derive the sensed scene. The Level 1C product contains multi-angular brightness temperatures in antenna frame (X-pol, Y-pol, T3 and T4) at the top of the atmosphere, geo-located in an equal-area grid system (ISEA 4H9 - Icosahedral Snyder Equal Area projection). Two L1C products are available: Land for soil moisture retrieval and Sea for sea surface salinity retrieval. The pixels are consolidated in a pole-to-pole product file (50 minutes of sensing time), with a maximum size of about 350MB per half orbit (29 half orbits per day). Spatial resolution is in the range of 30-50 km. For each L1C product there is also a corresponding Browse product containing brightness temperatures interpolated for an incidence angle of 42.5\u00b0. The Level 2 Soil Moisture (SM) product comprises soil moisture measurements geo-located in an equal-area grid system ISEA 4H9. The product contains not only the retrieved soil moisture, but also a series of ancillary data derived from the processing (nadir optical thickness, surface temperature, roughness parameter, dielectric constant and brightness temperature retrieved at top of atmosphere and on the surface) with the corresponding uncertainties. The pixels are consolidated in a pole-to-pole product file (50 minutes of sensing time), with a maximum size of about 7MB (25MB uncompressed data) per half orbit (29 half orbits per day). The Level 2 Ocean Salinity (OS) product comprises sea surface salinity measurements geo-located in an equal-area grid system ISEA 4H9. The product contains one single swath-based sea surface salinity retrieved with and without Land-Sea contamination correction, SSS anomaly based on WOA-2009 referred to Land-Sea corrected sea surface salinity, brightness temperature at the top of the atmosphere and at the sea surface with their corresponding uncertainties. The pixels are consolidated in a pole-to-pole product file (50 minutes of sensing time), with a maximum size of about 10MB (25MB uncompressed data) per half orbit (29 half orbits per day). The following Science data products, belonging to the latest processing baseline, are openly available to all users: MIR_SC_F1B/MIR_SC_D1B: Level 1B product, FULL/DUAL polarisation mode, in Earth Explorer format MIR_SCLF1C/MIR_SCLD1C: Level 1C product over Land, FULL/DUAL polarisation mode, in Earth Explorer format MIR_SCSF1C/MIR_SCSD1C: Level 1C product over Sea, FULL/DUAL polarisation mode, in Earth Explorer format MIR_BWLF1C/MIR_BWLD1C: Level 1C Browse product over Land, FULL/DUAL polarisation mode, in Earth Explorer format MIR_BWSF1C/MIR_BWSD1C: Level 1C Browse product over Sea, FULL/DUAL polarisation mode, in Earth Explorer format MIR_SMUDP2: Level 2 Soil Moisture product, in Earth Explorer and NetCDF format MIR_OSUDP2: Level 2 Sea Surface Salinity product, in Earth Explorer and NetCDF format Access to the following Science data products is restricted to SMOS CalVal users: MIR_SC_F1A/MIR_SC_D1A: Level 1A product, FULL/DUAL polarisation mode, in Earth Explorer format. For an optimal exploitation of the current SMOS L1 and L2 data set please consult the read-me-first notes available in the Resources section below.",
"license": "proprietary"
},
{
@@ -165905,6 +166061,19 @@
"description": "The data set contains snow depth measurements from five study sites in Alaska, USA; data were collected during the March 2023 intensive observation period (IOP) as part of the NASA SnowEx 2023 field campaign. The study sites include three boreal forest sites in the Fairbanks region of central Alaska (the Bonanza Creek Experimental Forest, Caribou Poker Creek watershed, and Farmer\u2019s Loop/Creamer\u2019s Field) and two coastal tundra sites in the North Slope region (Arctic coastal plain and Upper Kuparuk Toolik). Snow depth measurements collected from the study sampling sites during the previous field season are available as SnowEx23 Mar22 IOP Snow Depth Measurements, Version 1.",
"license": "proprietary"
},
+ {
+ "id": "SNEX23_MAR23_SP_1",
+ "title": "SnowEx23 Mar23 Snow Pit Measurements V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2023-03-07",
+ "end_date": "2023-03-16",
+ "bbox": "-149.59716, 64.69925, -147.48583, 70.08434",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3306985060-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3306985060-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/SNEX23_MAR23_SP_1",
+ "description": "The data set presents snow pit measurements collected during the NASA SnowEx March 2023 Intensive Observation Period (IOP) in Alaska, USA to use for calibration and validation with coincident airborne SWESARR and lidar measurements as part of the strategy focused on snow water equivalence (SWE) and snow depth (HS). In total, 170 snow pits were excavated between the five sites at locations representing a range of snow depth, vegetation, and topographic conditions. Three study areas represented boreal forest snow near Fairbanks, AK: Farmers Loop Creamers Field (FLCF), Caribou Poker Creek Research Watershed (CPCRW), and Bonanza Creek Experimental Forest (BCEF). Two study areas represented Arctic tundra snow: Arctic Coastal Plain (ACP) and Upper Kuparuk Toolik (UKT).",
+ "license": "proprietary"
+ },
{
"id": "SNEX23_SSA_1",
"title": "SnowEx23 Laser Snow Microstructure Specific Surface Area Data V001",
@@ -168300,26 +168469,26 @@
{
"id": "SPL1CTB_006",
"title": "SMAP L1C Radiometer Half-Orbit 36 km EASE-Grid Brightness Temperatures V006",
- "catalog": "NSIDC_ECS STAC Catalog",
+ "catalog": "NSIDC_CPRD STAC Catalog",
"state_date": "2015-03-31",
"end_date": "",
"bbox": "-180, -85.044, 180, 85.044",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463699-NSIDC_ECS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463699-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/SPL1CTB_006",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2938663268-NSIDC_CPRD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2938663268-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/SPL1CTB_006",
"description": "This Level-1C (L1C) product contains calibrated and geolocated brightness temperatures acquired by the Soil Moisture Active Passive (SMAP) radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. This product is derived from SMAP L-band Level-1B time-ordered brightness temperatures resampled to an Earth-fixed, 36 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in three projections: global cylindrical, Northern Hemisphere azimuthal, and Southern Hemisphere azimuthal. This L1C product is a gridded version of the SMAP time-ordered Level-1B radiometer brightness temperature product.",
"license": "proprietary"
},
{
"id": "SPL1CTB_006",
"title": "SMAP L1C Radiometer Half-Orbit 36 km EASE-Grid Brightness Temperatures V006",
- "catalog": "NSIDC_CPRD STAC Catalog",
+ "catalog": "NSIDC_ECS STAC Catalog",
"state_date": "2015-03-31",
"end_date": "",
"bbox": "-180, -85.044, 180, 85.044",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2938663268-NSIDC_CPRD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2938663268-NSIDC_CPRD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/SPL1CTB_006",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463699-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463699-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/SPL1CTB_006",
"description": "This Level-1C (L1C) product contains calibrated and geolocated brightness temperatures acquired by the Soil Moisture Active Passive (SMAP) radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. This product is derived from SMAP L-band Level-1B time-ordered brightness temperatures resampled to an Earth-fixed, 36 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in three projections: global cylindrical, Northern Hemisphere azimuthal, and Southern Hemisphere azimuthal. This L1C product is a gridded version of the SMAP time-ordered Level-1B radiometer brightness temperature product.",
"license": "proprietary"
},
@@ -168482,26 +168651,26 @@
{
"id": "SPL2SMAP_003",
"title": "SMAP L2 Radar/Radiometer Half-Orbit 9 km EASE-Grid Soil Moisture V003",
- "catalog": "NSIDC_ECS STAC Catalog",
+ "catalog": "NSIDC_CPRD STAC Catalog",
"state_date": "2015-04-13",
"end_date": "2015-07-07",
"bbox": "-180, -85.044, 180, 85.044",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1236303829-NSIDC_ECS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1236303829-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/SPL2SMAP_003",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2830464428-NSIDC_CPRD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2830464428-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/SPL2SMAP_003",
"description": "This Level-2 (L2) soil moisture product provides estimates of global land surface conditions retrieved by both the Soil Moisture Active Passive (SMAP) radar and radiometer during 6:00 a.m. descending half-orbit passes. SMAP L-band backscatter and brightness temperatures are used to derive soil moisture data, which are then resampled to an Earth-fixed, global, cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0).",
"license": "proprietary"
},
{
"id": "SPL2SMAP_003",
"title": "SMAP L2 Radar/Radiometer Half-Orbit 9 km EASE-Grid Soil Moisture V003",
- "catalog": "NSIDC_CPRD STAC Catalog",
+ "catalog": "NSIDC_ECS STAC Catalog",
"state_date": "2015-04-13",
"end_date": "2015-07-07",
"bbox": "-180, -85.044, 180, 85.044",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2830464428-NSIDC_CPRD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2830464428-NSIDC_CPRD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/SPL2SMAP_003",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1236303829-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1236303829-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/SPL2SMAP_003",
"description": "This Level-2 (L2) soil moisture product provides estimates of global land surface conditions retrieved by both the Soil Moisture Active Passive (SMAP) radar and radiometer during 6:00 a.m. descending half-orbit passes. SMAP L-band backscatter and brightness temperatures are used to derive soil moisture data, which are then resampled to an Earth-fixed, global, cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0).",
"license": "proprietary"
},
@@ -168573,26 +168742,26 @@
{
"id": "SPL2SMP_009",
"title": "SMAP L2 Radiometer Half-Orbit 36 km EASE-Grid Soil Moisture V009",
- "catalog": "NSIDC_CPRD STAC Catalog",
+ "catalog": "NSIDC_ECS STAC Catalog",
"state_date": "2015-03-31",
"end_date": "",
"bbox": "-180, -85.044, 180, 85.044",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2938663609-NSIDC_CPRD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2938663609-NSIDC_CPRD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/SPL2SMP_009",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463734-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463734-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/SPL2SMP_009",
"description": "This Level-2 (L2) soil moisture product provides estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) passive microwave radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. SMAP L-band brightness temperatures are resampled to an Earth-fixed, global, cylindrical 36 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) [and made available as the SPL1CTB product], and the gridded brightness temperatures are then used to derive gridded soil moisture data.",
"license": "proprietary"
},
{
"id": "SPL2SMP_009",
"title": "SMAP L2 Radiometer Half-Orbit 36 km EASE-Grid Soil Moisture V009",
- "catalog": "NSIDC_ECS STAC Catalog",
+ "catalog": "NSIDC_CPRD STAC Catalog",
"state_date": "2015-03-31",
"end_date": "",
"bbox": "-180, -85.044, 180, 85.044",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463734-NSIDC_ECS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463734-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/SPL2SMP_009",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2938663609-NSIDC_CPRD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2938663609-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/SPL2SMP_009",
"description": "This Level-2 (L2) soil moisture product provides estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) passive microwave radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. SMAP L-band brightness temperatures are resampled to an Earth-fixed, global, cylindrical 36 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) [and made available as the SPL1CTB product], and the gridded brightness temperatures are then used to derive gridded soil moisture data.",
"license": "proprietary"
},
@@ -168729,52 +168898,52 @@
{
"id": "SPL3FTP_E_004",
"title": "SMAP Enhanced L3 Radiometer Global and Northern Hemisphere Daily 9 km EASE-Grid Freeze/Thaw State V004",
- "catalog": "NSIDC_CPRD STAC Catalog",
+ "catalog": "NSIDC_ECS STAC Catalog",
"state_date": "2015-03-31",
"end_date": "",
"bbox": "-180, -85.044, 180, 85.044",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2938664439-NSIDC_CPRD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2938664439-NSIDC_CPRD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/SPL3FTP_E_004",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463920-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463920-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/SPL3FTP_E_004",
"description": "This enhanced Level-3 (L3) product provides a daily composite of global and Northern Hemisphere landscape freeze/thaw conditions retrieved by the Soil Moisture Active Passive (SMAP) radiometer from 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. This product is derived from SMAP enhanced Level-1C brightness temperatures (SPL1CTB_E). Backus-Gilbert optimal interpolation techniques are used to extract maximum information from SMAP antenna temperatures and convert them to brightness temperatures. The data are then posted to two 9 km Earth-fixed, Equal-Area Scalable Earth Grids, Version 2.0 (EASE-Grid 2.0): a global cylindrical and a Northern Hemisphere azimuthal.",
"license": "proprietary"
},
{
"id": "SPL3FTP_E_004",
"title": "SMAP Enhanced L3 Radiometer Global and Northern Hemisphere Daily 9 km EASE-Grid Freeze/Thaw State V004",
- "catalog": "NSIDC_ECS STAC Catalog",
+ "catalog": "NSIDC_CPRD STAC Catalog",
"state_date": "2015-03-31",
"end_date": "",
"bbox": "-180, -85.044, 180, 85.044",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463920-NSIDC_ECS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463920-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/SPL3FTP_E_004",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2938664439-NSIDC_CPRD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2938664439-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/SPL3FTP_E_004",
"description": "This enhanced Level-3 (L3) product provides a daily composite of global and Northern Hemisphere landscape freeze/thaw conditions retrieved by the Soil Moisture Active Passive (SMAP) radiometer from 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. This product is derived from SMAP enhanced Level-1C brightness temperatures (SPL1CTB_E). Backus-Gilbert optimal interpolation techniques are used to extract maximum information from SMAP antenna temperatures and convert them to brightness temperatures. The data are then posted to two 9 km Earth-fixed, Equal-Area Scalable Earth Grids, Version 2.0 (EASE-Grid 2.0): a global cylindrical and a Northern Hemisphere azimuthal.",
"license": "proprietary"
},
{
"id": "SPL3SMAP_003",
"title": "SMAP L3 Radar/Radiometer Global Daily 9 km EASE-Grid Soil Moisture V003",
- "catalog": "NSIDC_ECS STAC Catalog",
+ "catalog": "NSIDC_CPRD STAC Catalog",
"state_date": "2015-04-13",
"end_date": "2015-07-07",
"bbox": "-180, -85.044, 180, 85.044",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1236303847-NSIDC_ECS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1236303847-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/SPL3SMAP_003",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2872767144-NSIDC_CPRD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2872767144-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/SPL3SMAP_003",
"description": "This Level-3 (L3) soil moisture product provides a daily composite of global land surface conditions retrieved by both the Soil Moisture Active Passive (SMAP) radar and radiometer. SMAP L-band soil moisture data are resampled to an Earth-fixed, global, cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0).",
"license": "proprietary"
},
{
"id": "SPL3SMAP_003",
"title": "SMAP L3 Radar/Radiometer Global Daily 9 km EASE-Grid Soil Moisture V003",
- "catalog": "NSIDC_CPRD STAC Catalog",
+ "catalog": "NSIDC_ECS STAC Catalog",
"state_date": "2015-04-13",
"end_date": "2015-07-07",
"bbox": "-180, -85.044, 180, 85.044",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2872767144-NSIDC_CPRD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2872767144-NSIDC_CPRD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/SPL3SMAP_003",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1236303847-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1236303847-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/SPL3SMAP_003",
"description": "This Level-3 (L3) soil moisture product provides a daily composite of global land surface conditions retrieved by both the Soil Moisture Active Passive (SMAP) radar and radiometer. SMAP L-band soil moisture data are resampled to an Earth-fixed, global, cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0).",
"license": "proprietary"
},
@@ -168856,19 +169025,6 @@
"description": "This enhanced Level-3 (L3) soil moisture product provides a composite of daily estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) radiometer. This product is a daily composite of SMAP Level-2 (L2) soil moisture which is derived from SMAP Level-1C (L1C) interpolated brightness temperatures. Backus-Gilbert optimal interpolation techniques are used to extract information from SMAP antenna temperatures and convert them to brightness temperatures, which are posted to the 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in a global cylindrical projection. As of 2021, the data are also posted to the Northern Hemisphere EASE-Grid 2.0, an azimuthal equal-area projection.",
"license": "proprietary"
},
- {
- "id": "SPL3SMP_E_006",
- "title": "SMAP Enhanced L3 Radiometer Global and Polar Grid Daily 9 km EASE-Grid Soil Moisture V006",
- "catalog": "NSIDC_ECS STAC Catalog",
- "state_date": "2015-03-31",
- "end_date": "",
- "bbox": "-180, -85.044, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463943-NSIDC_ECS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463943-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/SPL3SMP_E_006",
- "description": "This enhanced Level-3 (L3) soil moisture product provides a composite of daily estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) radiometer. This product is a daily composite of SMAP Level-2 (L2) soil moisture which is derived from SMAP Level-1C (L1C) interpolated brightness temperatures. Backus-Gilbert optimal interpolation techniques are used to extract information from SMAP antenna temperatures and convert them to brightness temperatures, which are posted to the 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in a global cylindrical projection. As of 2021, the data are also posted to the Northern Hemisphere EASE-Grid 2.0, an azimuthal equal-area projection.",
- "license": "proprietary"
- },
{
"id": "SPL3SMP_E_006",
"title": "SMAP Enhanced L3 Radiometer Global and Polar Grid Daily 9 km EASE-Grid Soil Moisture V006",
@@ -168883,16 +169039,16 @@
"license": "proprietary"
},
{
- "id": "SPL4CMDL_007",
- "title": "SMAP L4 Global Daily 9 km EASE-Grid Carbon Net Ecosystem Exchange V007",
- "catalog": "NSIDC_CPRD STAC Catalog",
+ "id": "SPL3SMP_E_006",
+ "title": "SMAP Enhanced L3 Radiometer Global and Polar Grid Daily 9 km EASE-Grid Soil Moisture V006",
+ "catalog": "NSIDC_ECS STAC Catalog",
"state_date": "2015-03-31",
"end_date": "",
- "bbox": "-180, -85.044, 180, 85.044",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2938665243-NSIDC_CPRD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2938665243-NSIDC_CPRD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/SPL4CMDL_007",
- "description": "The Level-4 (L4) carbon product (SPL4CMDL) provides global gridded daily estimates of net ecosystem carbon (CO2) exchange derived using a satellite data based terrestrial carbon flux model informed by the following: Soil Moisture Active Passive (SMAP) L-band microwave observations, land cover and vegetation inputs from the Moderate Resolution Imaging Spectroradiometer (MODIS), Visible Infrared Imaging Radiometer Suite (VIIRS), and the Goddard Earth Observing System Model, Version 5 (GEOS-5) land model assimilation system. Parameters are computed using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection.",
+ "bbox": "-180, -85.044, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463943-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776463943-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/SPL3SMP_E_006",
+ "description": "This enhanced Level-3 (L3) soil moisture product provides a composite of daily estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) radiometer. This product is a daily composite of SMAP Level-2 (L2) soil moisture which is derived from SMAP Level-1C (L1C) interpolated brightness temperatures. Backus-Gilbert optimal interpolation techniques are used to extract information from SMAP antenna temperatures and convert them to brightness temperatures, which are posted to the 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in a global cylindrical projection. As of 2021, the data are also posted to the Northern Hemisphere EASE-Grid 2.0, an azimuthal equal-area projection.",
"license": "proprietary"
},
{
@@ -168909,16 +169065,16 @@
"license": "proprietary"
},
{
- "id": "SPL4SMAU_007",
- "title": "SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update V007",
+ "id": "SPL4CMDL_007",
+ "title": "SMAP L4 Global Daily 9 km EASE-Grid Carbon Net Ecosystem Exchange V007",
"catalog": "NSIDC_CPRD STAC Catalog",
"state_date": "2015-03-31",
"end_date": "",
"bbox": "-180, -85.044, 180, 85.044",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2938665508-NSIDC_CPRD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2938665508-NSIDC_CPRD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/SPL4SMAU_007",
- "description": "SMAP Level-4 (L4) surface and root zone soil moisture data are provided in three products: - SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data (SPL4SMGP, DOI: 10.5067/EVKPQZ4AFC4D)
- SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update (SPL4SMAU, DOI: 10.5067/LWJ6TF5SZRG3)
- SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants (SPL4SMLM, DOI: 10.5067/KN96XNPZM4EG).
For each product, SMAP L-band brightness temperature data from descending and ascending half-orbit satellite passes (approximately 6:00 a.m. and 6:00 p.m. local solar time, respectively) are assimilated into a land surface model that is gridded using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection.",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2938665243-NSIDC_CPRD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2938665243-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/SPL4CMDL_007",
+ "description": "The Level-4 (L4) carbon product (SPL4CMDL) provides global gridded daily estimates of net ecosystem carbon (CO2) exchange derived using a satellite data based terrestrial carbon flux model informed by the following: Soil Moisture Active Passive (SMAP) L-band microwave observations, land cover and vegetation inputs from the Moderate Resolution Imaging Spectroradiometer (MODIS), Visible Infrared Imaging Radiometer Suite (VIIRS), and the Goddard Earth Observing System Model, Version 5 (GEOS-5) land model assimilation system. Parameters are computed using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection.",
"license": "proprietary"
},
{
@@ -168935,16 +169091,16 @@
"license": "proprietary"
},
{
- "id": "SPL4SMGP_007",
- "title": "SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data V007",
+ "id": "SPL4SMAU_007",
+ "title": "SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update V007",
"catalog": "NSIDC_CPRD STAC Catalog",
"state_date": "2015-03-31",
"end_date": "",
"bbox": "-180, -85.044, 180, 85.044",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2938665761-NSIDC_CPRD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2938665761-NSIDC_CPRD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/SPL4SMGP_007",
- "description": "SMAP Level-4 (L4) surface and root zone soil moisture data are provided in three products: * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data (SPL4SMGP, DOI: 10.5067/EVKPQZ4AFC4D) * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update (SPL4SMAU, DOI: 10.5067/LWJ6TF5SZRG3) * SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants (SPL4SMLM, DOI: 10.5067/KN96XNPZM4EG). For each product, SMAP L-band brightness temperature data from descending and ascending half-orbit satellite passes (approximately 6:00 a.m. and 6:00 p.m. local solar time, respectively) are assimilated into a land surface model that is gridded using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection.",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2938665508-NSIDC_CPRD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2938665508-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/SPL4SMAU_007",
+ "description": "SMAP Level-4 (L4) surface and root zone soil moisture data are provided in three products: - SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data (SPL4SMGP, DOI: 10.5067/EVKPQZ4AFC4D)
- SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update (SPL4SMAU, DOI: 10.5067/LWJ6TF5SZRG3)
- SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants (SPL4SMLM, DOI: 10.5067/KN96XNPZM4EG).
For each product, SMAP L-band brightness temperature data from descending and ascending half-orbit satellite passes (approximately 6:00 a.m. and 6:00 p.m. local solar time, respectively) are assimilated into a land surface model that is gridded using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection.",
"license": "proprietary"
},
{
@@ -168961,15 +169117,15 @@
"license": "proprietary"
},
{
- "id": "SPL4SMLM_007",
- "title": "SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants V007",
+ "id": "SPL4SMGP_007",
+ "title": "SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data V007",
"catalog": "NSIDC_CPRD STAC Catalog",
"state_date": "2015-03-31",
"end_date": "",
"bbox": "-180, -85.044, 180, 85.044",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2938666109-NSIDC_CPRD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2938666109-NSIDC_CPRD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/SPL4SMLM_007",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2938665761-NSIDC_CPRD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2938665761-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/SPL4SMGP_007",
"description": "SMAP Level-4 (L4) surface and root zone soil moisture data are provided in three products: * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data (SPL4SMGP, DOI: 10.5067/EVKPQZ4AFC4D) * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update (SPL4SMAU, DOI: 10.5067/LWJ6TF5SZRG3) * SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants (SPL4SMLM, DOI: 10.5067/KN96XNPZM4EG). For each product, SMAP L-band brightness temperature data from descending and ascending half-orbit satellite passes (approximately 6:00 a.m. and 6:00 p.m. local solar time, respectively) are assimilated into a land surface model that is gridded using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection.",
"license": "proprietary"
},
@@ -168987,7 +169143,20 @@
"license": "proprietary"
},
{
- "id": "SPOT-6.and.7.ESA.archive_NA",
+ "id": "SPL4SMLM_007",
+ "title": "SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants V007",
+ "catalog": "NSIDC_CPRD STAC Catalog",
+ "state_date": "2015-03-31",
+ "end_date": "",
+ "bbox": "-180, -85.044, 180, 85.044",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2938666109-NSIDC_CPRD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2938666109-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/SPL4SMLM_007",
+ "description": "SMAP Level-4 (L4) surface and root zone soil moisture data are provided in three products: * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data (SPL4SMGP, DOI: 10.5067/EVKPQZ4AFC4D) * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update (SPL4SMAU, DOI: 10.5067/LWJ6TF5SZRG3) * SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants (SPL4SMLM, DOI: 10.5067/KN96XNPZM4EG). For each product, SMAP L-band brightness temperature data from descending and ascending half-orbit satellite passes (approximately 6:00 a.m. and 6:00 p.m. local solar time, respectively) are assimilated into a land surface model that is gridded using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SPOT-6.and.7.ESA.archive_9.0",
"title": "SPOT-6 and 7 ESA archive",
"catalog": "ESA STAC Catalog",
"state_date": "2012-10-01",
@@ -168995,12 +169164,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336951-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336951-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/SPOT-6.and.7.ESA.archive_NA",
- "description": "The SPOT 6 and 7 ESA archive is a dataset of SPOT 6 and SPOT 7 products that ESA collected over the years. The dataset regularly grows as ESA collects new SPOT 6 and 7 products. SPOT 6 and 7 Primary, Projected and Ortho products are available in the following modes: Panchromatic image at 1.5m resolution Pansharpened colour image at 1.5m resolution Multispectral image in 4 spectral bands at 6m resolution Bundle (1.5m panchromatic image + 6m multispectral image)",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/SPOT-6.and.7.ESA.archive_9.0",
+ "description": "The SPOT 6 and 7 ESA archive is a dataset of SPOT 6 and SPOT 7 products that ESA collected over the years. The dataset regularly grows as ESA collects new SPOT 6 and 7 products. SPOT 6 and 7 Primary and Ortho products can be available in the following modes: Panchromatic image at 1.5m resolution Pansharpened colour image at 1.5m resolution Multispectral image in 4 spectral bands at 6m resolution Bundle (1.5m panchromatic image + 6m multispectral image) Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/socat/SPOT6-7 available on the Third Party Missions Dissemination Service. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided.",
"license": "proprietary"
},
{
- "id": "SPOT1-5_NA",
+ "id": "SPOT1-5_8.0",
"title": "SPOT1-5 ESA archive",
"catalog": "ESA STAC Catalog",
"state_date": "1986-04-01",
@@ -169008,21 +169177,21 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1532648155-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1532648155-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/SPOT1-5_NA",
- "description": "The ESA SPOT1-5 collection is a dataset of SPOT-1 to 5 Panchromatic and Multispectral products that ESA collected over the years. The HRV(IR) sensor onboard SPOT 1-4 provides data at 10 m spatial resolution Panchromatic mode (-1 band) and 20 m (Multispectral mode -3 or 4 bands). The HRG sensor on board of SPOT-5 provides spatial resolution of the imagery to < 3 m in the panchromatic band and to 10 m in the multispectral mode (3 bands). The SWIR band imagery remains at 20 m. The dataset mainly focuses on European and African sites but some American, Asian and Greenland areas are also covered.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/SPOT1-5_8.0",
+ "description": "The ESA SPOT1-5 collection is a dataset of SPOT-1 to 5 Panchromatic and Multispectral products that ESA collected over the years. The HRV(IR) sensor onboard SPOT 1-4 provides data at 10 m spatial resolution Panchromatic mode (-1 band) and 20 m (Multispectral mode -3 or 4 bands). The HRG sensor on board of SPOT-5 provides spatial resolution of the imagery to < 3 m in the panchromatic band and to 10 m in the multispectral mode (3 bands). The SWIR band imagery remains at 20 m. The dataset mainly focuses on European and African sites but some American, Asian and Greenland areas are also covered.",
"license": "proprietary"
},
{
- "id": "SPOT4-5_Take5.ESAarchive_NA",
- "title": "SPOT 4-5 Take5 ESA archive",
+ "id": "SPOT4-5_Take5.ESAarchive_7.0",
+ "title": "SPOT 4-5 Take5 ESA archive",
"catalog": "ESA STAC Catalog",
"state_date": "2013-01-31",
"end_date": "2015-09-15",
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336953-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336953-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/SPOT4-5_Take5.ESAarchive_NA",
- "description": "At the end of SPOT-4 life, the Take5 experiment was launched and the satellite was moved to a lower orbit to obtain a 5 day repeat cycle, same repetition of Sentinel-2. Thanks to this orbit, from 1st of Feb to 19th of June 2013 a time series of images acquired every 5 days with constant angle and over 45 different sites were observed. In analogy to the previous SPOT-4 Take-5 experiment, also SPOT-5 was placed in a 5 days cycle orbit and 145 selected sites were acquired every 5 days under constant angles from 8th of April to 31st of August 2015. With a resolution of 10 m, the following processing levels are available: Level 1A: reflectance at the top of atmosphere (TOA), not orthorectified products Level 1C: data orthorectified reflectance at the top of atmosphere (TOA) Level 2A: data orthorectified surface reflectance after atmospheric correction (BOA), along with clouds mask and their shadow, and mask of water and snow.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/SPOT4-5_Take5.ESAarchive_7.0",
+ "description": "At the end of SPOT-4 life, the Take5 experiment was launched and the satellite was moved to a lower orbit to obtain a 5 day repeat cycle, same repetition of Sentinel-2. Thanks to this orbit, from 1st of Feb to 19th of June 2013 a time series of images acquired every 5 days with constant angle and over 45 different sites were observed. In analogy to the previous SPOT-4 Take-5 experiment, also SPOT-5 was placed in a 5 days cycle orbit and 145 selected sites were acquired every 5 days under constant angles from 8th of April to 31st of August 2015. With a resolution of 10 m, the following processing levels are available: Level 1A: reflectance at the top of atmosphere (TOA), not orthorectified products Level 1C: data orthorectified reflectance at the top of atmosphere (TOA) Level 2A: data orthorectified surface reflectance after atmospheric correction (BOA), along with clouds mask and their shadow, and mask of water and snow.",
"license": "proprietary"
},
{
@@ -169039,16 +169208,16 @@
"license": "proprietary"
},
{
- "id": "SPOT67fullarchiveandtasking1_NA",
- "title": "SPOT 6 & 7 full archive and tasking",
+ "id": "SPOT67fullarchiveandtasking1_9.0",
+ "title": "SPOT-6 to 7 full archive and tasking",
"catalog": "ESA STAC Catalog",
- "state_date": "2002-06-01",
+ "state_date": "2012-10-01",
"end_date": "",
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2547572697-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2547572697-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/SPOT67fullarchiveandtasking1_NA",
- "description": "The SPOT 6 and 7 satellites ensure data continuity with the no longer operational SPOT 5 satellite and provide an archive of very high resolution optical acquisition as well as the possibility to task the satellites for new acquisitions. The ortho-products are automatically generated by the SPOT 6 and 7 ground segment, based on SRTM database or Reference3D when available. The projection available for SPOT 6 and 7 ortho-products is UTM, datum WGS84. Bands combinations: - Pansharpened: colour image at 1.5 m resolution - Bundle: 1.5 m panchromatic image and 6 m multispectral image Geometric processing levels: - Primary: The Primary product is the processing level closest to the natural image acquired by the sensor. This product restores perfect collection conditions: the sensor is placed in rectilinear geometry, and the image is clear of all radiometric distortion. - Standard Ortho: The Ortho product is a georeferenced image in Earth geometry, corrected from acquisition and terrain off-nadir effects. - Tailored ortho: Aside from the Standard Ortho product, when different specifications are needed, a custom orthorectification, with a more precise 3D model provided by the client or acquired for the purpose, can be provided on demand.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/SPOT67fullarchiveandtasking1_9.0",
+ "description": "The SPOT 6 and 7 satellites ensure data continuity with the no longer operational SPOT 5 satellite and provide an archive of very high resolution optical acquisition as well as the possibility to task the satellites for new acquisitions. Following the completion of the SPOT 7 mission in March 2023, new acquisition tasking is only available for the SPOT 6 satellite. The ortho-products are automatically generated by the SPOT 6 and 7 ground segment, based on SRTM database or Reference3D when available. The projection available for SPOT 6 and 7 ortho-products is UTM, datum WGS84. Bands combinations: \u2022\tPanchromatic: black&white image at 1.5 m resolution \u2022\tPansharpened: 3-bands or 4 bands colour image at 1.5 m resolution \u2022\tMultispectral: 4 bands image at 6m resolution \u2022\tBundle: 1.5 m panchromatic image and 6 m multispectral image, co-registered. Geometric processing levels: \u2022\tPrimary: The Primary product is the processing level closest to the natural image acquired by the sensor. This product restores perfect collection conditions: the sensor is placed in rectilinear geometry, and the image is clear of all radiometric distortion. \u2022\tOrtho: The Ortho product is a georeferenced image in Earth geometry, corrected from acquisition and terrain off-nadir effects. Available in MONO acquisition mode only. Acquisition modes: \u2022\tMono \u2022\tStereo \u2022\tTristero To complement the traditional and fully customised ordering and download of selected SPOT, Pleiades or Pleiades Neo images in a variety of data formats, you can also subscribe to the OneAtlas Living Library package where the entire OneAtlas optical archive of ortho images is updated on a daily basis and made available for streaming or download. The Living Library consist of \u2022\tless-than-18-months-old imagery \u2022\ta curation of SPOT images with no cloud cover and less than 30\u00b0 incidence angle \u2022\tPl\u00e9iades images acquired worldwide with maximum 15% cloud cover and 30\u00b0 Incidence Angle \u2022\tPl\u00e9iades Neo premium imagery selection with 2% cloud cover and 30\u00b0 incidence angle These are the available subscription packages (to be consumed withing one year from the activation) OneAtlas Living Library subscription package 1: up to 230 km2 Pleiades Neo or 430 km2 Pleiades or 1.500 km2 SPOT in download, up to 500 km2 Pleiades Neo or 2.000 km2 Pleiades or 7.500 km2 SPOT in streaming OneAtlas Living Library subscription package 2: up to 654 km2 Pleiades Neo or 1.214 km2 Pleiades or 4.250 km2 SPOT in download, up to 1417 km2 Pleiades Neo or 5.666 km2 Pleiades or 21.250 km2 SPOT in streaming OneAtlas Living Library subscription package 3: up to 1.161 km2 Pleiades Neo or 2.156 km2 Pleiades or 7.545 km2 SPOT in download, up to 2.515 km2 Pleiades Neo or 10.060 km2 Pleiades or 37.723 km2 SPOT in streaming As per ESA policy, very high-resolution imagery of conflict areas cannot be provided.",
"license": "proprietary"
},
{
@@ -169685,7 +169854,7 @@
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2763266368-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2763266368-LPCLOUD.html",
"href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/SRTMGL1N_003",
- "description": "The Land Processes Distributed Active Archive Center (LP DAAC) is responsible for the archive and distribution of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) version SRTM, which includes the global 1 arc second (~30 meter) product. NASA Shuttle Radar Topography Mission (SRTM) datasets result from a collaborative effort by the National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA - previously known as the National Imagery and Mapping Agency, or NIMA), as well as the participation of the German and Italian space agencies. The purpose of SRTM was to generate a near-global digital elevation model (DEM) of the Earth using radar interferometry. SRTM was a primary component of the payload on the Space Shuttle Endeavour during its STS-99 mission. Endeavour launched February 11, 2000 and \ufb02ew for 11 days. Each SRTMGL1 data tile contains a mosaic and blending of elevations generated by averaging all \"data takes\" that fall within that tile. These elevation files use the extension \u201c.HGT\u201d, meaning height (such as N37W105.SRTMGL1.HGT). The primary goal of creating the Version 3 data was to eliminate voids that were present in earlier versions of SRTM data. In areas with limited data, existing topographical data were used to supplement the SRTM data to fill the voids. The source of each elevation pixel is identified in the corresponding SRTMGL1N (https://doi.org/10.5067/MEaSUREs/SRTM/SRTMGL1N.003) product (such as N37W105.SRTMGL1N.NUM). SRTM collected data in swaths, which extend from ~30 degrees off-nadir to ~58 degrees off-nadir from an altitude of 233 kilometers (km). These swaths are ~225 km wide, and consisted of all land between 60\u00b0 N and 56\u00b0 S latitude. This accounts for about 80% of Earth\u2019s total landmass. Improvements/Changes from Previous Versions * Voids in the Version 3.0 products have been filled with ASTER Global Digital Elevation Model (GDEM) Version 2.0, the Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010), and the National Elevation Dataset (NED). ",
+ "description": "The Land Processes Distributed Active Archive Center (LP DAAC) is responsible for the archive and distribution of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/about/competitive-programs/measures) version SRTM, which includes the global 1 arc second (~30 meter) product. NASA Shuttle Radar Topography Mission (SRTM) datasets result from a collaborative effort by the National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA - previously known as the National Imagery and Mapping Agency, or NIMA), as well as the participation of the German and Italian space agencies. The purpose of SRTM was to generate a near-global digital elevation model (DEM) of the Earth using radar interferometry. SRTM was a primary component of the payload on the Space Shuttle Endeavour during its STS-99 mission. Endeavour launched February 11, 2000 and \ufb02ew for 11 days. Each SRTMGL1 data tile contains a mosaic and blending of elevations generated by averaging all \"data takes\" that fall within that tile. These elevation files use the extension \u201c.HGT\u201d, meaning height (such as N37W105.SRTMGL1.HGT). The primary goal of creating the Version 3 data was to eliminate voids that were present in earlier versions of SRTM data. In areas with limited data, existing topographical data were used to supplement the SRTM data to fill the voids. The source of each elevation pixel is identified in the corresponding SRTMGL1N (https://doi.org/10.5067/MEaSUREs/SRTM/SRTMGL1N.003) product (such as N37W105.SRTMGL1N.NUM). SRTM collected data in swaths, which extend from ~30 degrees off-nadir to ~58 degrees off-nadir from an altitude of 233 kilometers (km). These swaths are ~225 km wide, and consisted of all land between 60\u00b0 N and 56\u00b0 S latitude. This accounts for about 80% of Earth\u2019s total landmass. Improvements/Changes from Previous Versions * Voids in the Version 3.0 products have been filled with ASTER Global Digital Elevation Model (GDEM) Version 2.0, the Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010), and the National Elevation Dataset (NED). ",
"license": "proprietary"
},
{
@@ -169698,7 +169867,7 @@
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2763266360-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2763266360-LPCLOUD.html",
"href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/SRTMGL1_003",
- "description": "The Land Processes Distributed Active Archive Center (LP DAAC) is responsible for the archive and distribution of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) version SRTM, which includes the global 1 arc second (~30 meter) product. NASA Shuttle Radar Topography Mission (SRTM) datasets result from a collaborative effort by the National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA - previously known as the National Imagery and Mapping Agency, or NIMA), as well as the participation of the German and Italian space agencies. The purpose of SRTM was to generate a near-global digital elevation model (DEM) of the Earth using radar interferometry. SRTM was a primary component of the payload on the Space Shuttle Endeavour during its STS-99 mission. Endeavour launched February 11, 2000 and \ufb02ew for 11 days. Each SRTMGL1 data tile contains a mosaic and blending of elevations generated by averaging all \"data takes\" that fall within that tile. These elevation files use the extension \u201c.HGT\u201d, meaning height (such as N37W105.SRTMGL1.HGT). The primary goal of creating the Version 3 data was to eliminate voids that were present in earlier versions of SRTM data. In areas with limited data, existing topographical data were used to supplement the SRTM data to fill the voids. The source of each elevation pixel is identified in the corresponding (SRTMGL1N) (https://doi.org/10.5067/MEaSUREs/SRTM/SRTMGL1N.003) product (such as N37W105.SRTMGL1N.NUM). SRTM collected data in swaths, which extend from ~30 degrees off-nadir to ~58 degrees off-nadir from an altitude of 233 kilometers (km). These swaths are ~225 km wide, and consisted of all land between 60\u00b0 N and 56\u00b0 S latitude. This accounts for about 80% of Earth\u2019s total landmass. ",
+ "description": "The Land Processes Distributed Active Archive Center (LP DAAC) is responsible for the archive and distribution of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/about/competitive-programs/measures) version SRTM, which includes the global 1 arc second (~30 meter) product. NASA Shuttle Radar Topography Mission (SRTM) datasets result from a collaborative effort by the National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA - previously known as the National Imagery and Mapping Agency, or NIMA), as well as the participation of the German and Italian space agencies. The purpose of SRTM was to generate a near-global digital elevation model (DEM) of the Earth using radar interferometry. SRTM was a primary component of the payload on the Space Shuttle Endeavour during its STS-99 mission. Endeavour launched February 11, 2000 and \ufb02ew for 11 days. Each SRTMGL1 data tile contains a mosaic and blending of elevations generated by averaging all \"data takes\" that fall within that tile. These elevation files use the extension \u201c.HGT\u201d, meaning height (such as N37W105.SRTMGL1.HGT). The primary goal of creating the Version 3 data was to eliminate voids that were present in earlier versions of SRTM data. In areas with limited data, existing topographical data were used to supplement the SRTM data to fill the voids. The source of each elevation pixel is identified in the corresponding (SRTMGL1N) (https://doi.org/10.5067/MEaSUREs/SRTM/SRTMGL1N.003) product (such as N37W105.SRTMGL1N.NUM). SRTM collected data in swaths, which extend from ~30 degrees off-nadir to ~58 degrees off-nadir from an altitude of 233 kilometers (km). These swaths are ~225 km wide, and consisted of all land between 60\u00b0 N and 56\u00b0 S latitude. This accounts for about 80% of Earth\u2019s total landmass. ",
"license": "proprietary"
},
{
@@ -169750,7 +169919,7 @@
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2763268440-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2763268440-LPCLOUD.html",
"href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/SRTMGL3N_003",
- "description": "The Land Processes Distributed Active Archive Center (LP DAAC) is responsible for the archive and distribution of NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) Shuttle Radar Topography Mission (SRTM), which includes the global 3 arc second (~90 meter) number product. Ancillary one-byte (0 to 255) \u201cNUM\u201d (number) files were produced for NASA SRTM Version 3. These files have names corresponding to the elevation files, except with the extension \u201c.NUM\u201d (such as N37W105.NUM). The elevation files use the extension \u201c.HGT\u201d, meaning height (such as N37W105.HGT). The separate NUM file indicates the source of each DEM pixel; the number of ASTER scenes used (up to 100), if ASTER; and the number of SRTM data takes (up to 24), if SRTM. The NUM file for both 3 arc second products (whether sampled or averaged) references the 3 x 3 center pixel. Note that NUMs less than 6 are water and those greater than 10 are land. The 3 arc second data was derived from the 1 arc second using sampling and averaging methods. (See Figure 3 in the User Guide (https://lpdaac.usgs.gov/documents/179/SRTM_User_Guide_V3.pdf). The NASA SRTM data sets result from a collaborative effort by the National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA - previously known as the National Imagery and Mapping Agency, or NIMA), as well as the participation of the German and Italian space agencies. This collaboration aims to generate a near-global digital elevation model (DEM) of Earth using radar interferometry. SRTM was the primary (and virtually only) payload on the STS-99 mission of the Space Shuttle Endeavour, which launched February 11, 2000 and \ufb02ew for 11 days. The SRTM swaths extended from ~30 degrees off-nadir to ~58 degrees off-nadir from an altitude of 233 kilometers (km), creating swaths ~225 km wide, and consisted of all land between 60\u00b0 N and 56\u00b0 S latitude to account for 80% of Earth\u2019s total landmass. Improvements/Changes from Previous Versions * Voids in the Version 3.0 products have been filled with ASTER Global Digital Elevation Model (GDEM) Version 2.0, the Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010), and the National Elevation Dataset (NED). ",
+ "description": "The Land Processes Distributed Active Archive Center (LP DAAC) is responsible for the archive and distribution of NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/about/competitive-programs/measures) Shuttle Radar Topography Mission (SRTM), which includes the global 3 arc second (~90 meter) number product. Ancillary one-byte (0 to 255) \u201cNUM\u201d (number) files were produced for NASA SRTM Version 3. These files have names corresponding to the elevation files, except with the extension \u201c.NUM\u201d (such as N37W105.NUM). The elevation files use the extension \u201c.HGT\u201d, meaning height (such as N37W105.HGT). The separate NUM file indicates the source of each DEM pixel; the number of ASTER scenes used (up to 100), if ASTER; and the number of SRTM data takes (up to 24), if SRTM. The NUM file for both 3 arc second products (whether sampled or averaged) references the 3 x 3 center pixel. Note that NUMs less than 6 are water and those greater than 10 are land. The 3 arc second data was derived from the 1 arc second using sampling and averaging methods. (See Figure 3 in the User Guide (https://lpdaac.usgs.gov/documents/179/SRTM_User_Guide_V3.pdf). The NASA SRTM data sets result from a collaborative effort by the National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA - previously known as the National Imagery and Mapping Agency, or NIMA), as well as the participation of the German and Italian space agencies. This collaboration aims to generate a near-global digital elevation model (DEM) of Earth using radar interferometry. SRTM was the primary (and virtually only) payload on the STS-99 mission of the Space Shuttle Endeavour, which launched February 11, 2000 and \ufb02ew for 11 days. The SRTM swaths extended from ~30 degrees off-nadir to ~58 degrees off-nadir from an altitude of 233 kilometers (km), creating swaths ~225 km wide, and consisted of all land between 60\u00b0 N and 56\u00b0 S latitude to account for 80% of Earth\u2019s total landmass. Improvements/Changes from Previous Versions * Voids in the Version 3.0 products have been filled with ASTER Global Digital Elevation Model (GDEM) Version 2.0, the Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010), and the National Elevation Dataset (NED). ",
"license": "proprietary"
},
{
@@ -169776,7 +169945,7 @@
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2763266377-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2763266377-LPCLOUD.html",
"href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/SRTMGL3_003",
- "description": "The Land Processes Distributed Active Archive Center (LP DAAC) is responsible for the archive and distribution of NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) Shuttle Radar Topography Mission (SRTM), which includes the global 3 arc second (~90 meter) product. The 3 arc second data was derived from the 1 arc second using averaging methods. (See Figure 3 in the User Guide (https://lpdaac.usgs.gov/documents/179/SRTM_User_Guide_V3.pdf). The NASA SRTM data sets result from a collaborative effort by the National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA - previously known as the National Imagery and Mapping Agency, or NIMA), as well as the participation of the German and Italian space agencies. This collaboration aims to generate a near-global digital elevation model (DEM) of Earth using radar interferometry. SRTM was the primary (and virtually only) payload on the STS-99 mission of the Space Shuttle Endeavour, which launched February 11, 2000 and \ufb02ew for 11 days. The SRTMGL3 data were generated from SRTM1GL (https://doi.org/10.5067/MEaSUREs/SRTM/SRTMGL1.003) data that fall within that tile. These elevation files use the extension \u201c.HGT\u201d, meaning height (such as N37W105.SRTMGL3.HGT). The primary goal of creating the Version 3 data was to eliminate gaps, or voids, that were present in earlier versions of SRTM data. In areas with limited data, existing topographical data were used to supplement the SRTM data to fill the voids. The source of each elevation pixel is identified in the corresponding SRTMGL3N (https://doi.org/10.5067/MEaSUREs/SRTM/SRTMGL3N.003) product (such as N37W105.SRTMGL3N.NUM). The SRTM swaths extended from ~30 degrees off-nadir to ~58 degrees off-nadir from an altitude of 233 kilometers (km), creating swaths ~225 km wide, and consisted of all land between 60\u00b0 N and 56\u00b0 S latitude to account for 80% of Earth\u2019s total landmass. ",
+ "description": "The Land Processes Distributed Active Archive Center (LP DAAC) is responsible for the archive and distribution of NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/about/competitive-programs/measures) Shuttle Radar Topography Mission (SRTM), which includes the global 3 arc second (~90 meter) product. The 3 arc second data was derived from the 1 arc second using averaging methods. (See Figure 3 in the User Guide (https://lpdaac.usgs.gov/documents/179/SRTM_User_Guide_V3.pdf). The NASA SRTM data sets result from a collaborative effort by the National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA - previously known as the National Imagery and Mapping Agency, or NIMA), as well as the participation of the German and Italian space agencies. This collaboration aims to generate a near-global digital elevation model (DEM) of Earth using radar interferometry. SRTM was the primary (and virtually only) payload on the STS-99 mission of the Space Shuttle Endeavour, which launched February 11, 2000 and \ufb02ew for 11 days. The SRTMGL3 data were generated from SRTM1GL (https://doi.org/10.5067/MEaSUREs/SRTM/SRTMGL1.003) data that fall within that tile. These elevation files use the extension \u201c.HGT\u201d, meaning height (such as N37W105.SRTMGL3.HGT). The primary goal of creating the Version 3 data was to eliminate gaps, or voids, that were present in earlier versions of SRTM data. In areas with limited data, existing topographical data were used to supplement the SRTM data to fill the voids. The source of each elevation pixel is identified in the corresponding SRTMGL3N (https://doi.org/10.5067/MEaSUREs/SRTM/SRTMGL3N.003) product (such as N37W105.SRTMGL3N.NUM). The SRTM swaths extended from ~30 degrees off-nadir to ~58 degrees off-nadir from an altitude of 233 kilometers (km), creating swaths ~225 km wide, and consisted of all land between 60\u00b0 N and 56\u00b0 S latitude to account for 80% of Earth\u2019s total landmass. ",
"license": "proprietary"
},
{
@@ -172315,7 +172484,7 @@
"license": "proprietary"
},
{
- "id": "SciSat-1.Ace.FTS.and.Maestro_NA",
+ "id": "SciSat-1.Ace.FTS.and.Maestro_4.0",
"title": "SciSat-1: ACE-FTS and MAESTRO",
"catalog": "ESA STAC Catalog",
"state_date": "2003-08-13",
@@ -172323,8 +172492,8 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336954-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336954-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/SciSat-1.Ace.FTS.and.Maestro_NA",
- "description": "SCISAT-1 data aim at monitoring and analysing the chemical processes that control the distribution of ozone in the upper troposphere and stratosphere. It provides acquisitions from the 2 instruments MAESTRO and ACE-FTS. \u2022 MAESTRO: Measurement of Aerosol Extinction in the Stratosphere and Troposphere Retrieved by Occultation. Dual-channel optical spectrometer in the spectral region of 285-1030 nm. The objective is to measure ozone, nitrogen dioxide and aerosol/cloud extinction (solar occultation measurements of atmospheric attenuation during satellite sunrise and sunset with the primary objective of assessing the stratospheric ozone budget). Solar occultation spectra are being used for retrieving vertical profiles of temperature and pressure, aerosols, and trace gases (O3, NO2, H2O, OClO, and BrO) involved in middle atmosphere ozone distribution. The use of two overlapping spectrometers (280 - 550 nm, 500 - 1030 nm) improves the stray-light performance. The spectral resolution is about 1-2 nm. \u2022 ACE-FTS: Fourier Transform Spectrometer The objective is to measure the vertical distribution of atmospheric trace gases, in particular of the regional polar O3 budget, as well as pressure and temperature (derived from CO2 lines). The instrument is an adapted version of the classical sweeping Michelson interferometer, using an optimized optical layout. The ACE-FTS measurements are recorded every 2 s. This corresponds to a measurement spacing of 2-6 km which decreases at lower altitudes due to refraction. The typical altitude spacing changes with the orbital beta angle. For historical reasons, the retrieved results are interpolated onto a 1 km \"grid\" using a piecewise quadratic method. For ACE-FTS version 1.0, the results were reported only on the interpolated grid (every 1 km from 0.5 to 149.5 km). For versions 2.2, both the \"retrieval\" grid and the \"1 km\" grid profiles are available. SCISAT-1 collection provides ACE-FTS and MAESTRO Level 2 Data. As of today, ACE-FTS products are available in version 4.1, while MAESTRO products are available in version 3.13.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/SciSat-1.Ace.FTS.and.Maestro_4.0",
+ "description": "SCISAT-1 data aim at monitoring and analysing the chemical processes that control the distribution of ozone in the upper troposphere and stratosphere. It provides acquisitions from the 2 instruments MAESTRO and ACE-FTS. \u2022 MAESTRO: Measurement of Aerosol Extinction in the Stratosphere and Troposphere Retrieved by Occultation. Dual-channel optical spectrometer in the spectral region of 285-1030 nm. The objective is to measure ozone, nitrogen dioxide and aerosol/cloud extinction (solar occultation measurements of atmospheric attenuation during satellite sunrise and sunset with the primary objective of assessing the stratospheric ozone budget). Solar occultation spectra are being used for retrieving vertical profiles of temperature and pressure, aerosols, and trace gases (O3, NO2, H2O, OClO, and BrO) involved in middle atmosphere ozone distribution. The use of two overlapping spectrometers (280 - 550 nm, 500 - 1030 nm) improves the stray-light performance. The spectral resolution is about 1-2 nm. \u2022 ACE-FTS: Fourier Transform Spectrometer The objective is to measure the vertical distribution of atmospheric trace gases, in particular of the regional polar O3 budget, as well as pressure and temperature (derived from CO2 lines). The instrument is an adapted version of the classical sweeping Michelson interferometer, using an optimized optical layout. The ACE-FTS measurements are recorded every 2 s. This corresponds to a measurement spacing of 2-6 km which decreases at lower altitudes due to refraction. The typical altitude spacing changes with the orbital beta angle. For historical reasons, the retrieved results are interpolated onto a 1 km "grid" using a piecewise quadratic method. For ACE-FTS version 1.0, the results were reported only on the interpolated grid (every 1 km from 0.5 to 149.5 km). For versions 2.2, both the "retrieval" grid and the "1 km" grid profiles are available. SCISAT-1 collection provides ACE-FTS and MAESTRO Level 2 Data. As of today, ACE-FTS products are available in version 4.1, while MAESTRO products are available in version 3.13.",
"license": "proprietary"
},
{
@@ -172367,7 +172536,7 @@
"license": "proprietary"
},
{
- "id": "SeaSat.ESA.archive_NA",
+ "id": "SeaSat.ESA.archive_6.0",
"title": "SeaSat ESA archive",
"catalog": "ESA STAC Catalog",
"state_date": "1978-07-13",
@@ -172375,8 +172544,8 @@
"bbox": "-125, -10, 20, 70",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1532648156-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1532648156-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/SeaSat.ESA.archive_NA",
- "description": "This collection gives access to the complete SEASAT dataset acquired by ESA and mainly covers Europe. The dataset comprises some of the first ever SAR data recorded for scientific purposes, reprocessed with the most recent processor. The Level-1 products are available as: \u2022\tSAR Ellipsoid Geocoded Precision Image \u2022\tSAR Precision Image \u2022\tSAR Single Look Complex Image European Space Agency, Seasat SAR Precision Image. Version 1.0. https://doi.org/10.5270/SE1-99j66hv European Space Agency, Seasat SAR Single Look Complex. Version 1.0. https://doi.org/10.5270/SE1-4uij92n European Space Agency, Seasat SAR Ellipsoid Geocoded Precision Image . Version 1.0. https://doi.org/10.5270/SE1-ungwqxv",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/SeaSat.ESA.archive_6.0",
+ "description": "This collection gives access to the complete SEASAT dataset acquired by ESA and mainly covers Europe. The dataset comprises some of the first ever SAR data recorded for scientific purposes, reprocessed with the most recent processor. The Level-1 products are available as: \u2022\tSAR Ellipsoid Geocoded Precision Image \u2022\tSAR Precision Image \u2022\tSAR Single Look Complex Image European Space Agency, Seasat SAR Precision Image. Version 1.0. https://doi.org/10.5270/SE1-99j66hv European Space Agency, Seasat SAR Single Look Complex. Version 1.0. https://doi.org/10.5270/SE1-4uij92n European Space Agency, Seasat SAR Ellipsoid Geocoded Precision Image . Version 1.0. https://doi.org/10.5270/SE1-ungwqxv",
"license": "proprietary"
},
{
@@ -173290,7 +173459,7 @@
"license": "proprietary"
},
{
- "id": "SkySat.Full.Archive.and.New.Tasking_NA",
+ "id": "SkySat.Full.Archive.and.New.Tasking_9.0",
"title": "SkySat Full Archive and New Tasking",
"catalog": "ESA STAC Catalog",
"state_date": "2013-11-13",
@@ -173298,12 +173467,12 @@
"bbox": "-180, -84, 180, 84",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336955-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336955-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/SkySat.Full.Archive.and.New.Tasking_NA",
- "description": "The SkySat Level 2B Basic Scene, Level 3B Ortho Scene and Level 3B Consolidated full archive and new tasking products are available as part of Planet imagery offer. The SkySat Basic Scene product is uncalibrated and in a raw digital number format, not corrected for any geometric distortions inherent in the imaging process. Rational Polynomial Coefficients (RPCs) is provided to enable orthorectification by the user. Basic Scene Product Components and Format Processing levels\t/\t- Analytic (unorthorectified, radiometrically corrected, multispectral BGRN); - Analytic DN (unorthorectified, multispectral BGRN); - Panchromatic DN (unorthorectified, panchromatic)\t// Product Components and Format\t/\t- Image File (GeoTIFF format); - Metadata File (JSON format); - Rational Polynomial Coefficients (Text File); - UDM File (GeoTIFF format)\t// Image configuration\t/\t- 4-band Analytic DN Image (Blue, Green, Red, NIR); - 1-band Panchromatic DN Image (Pan)\t// Ground Sampling Distance\t/\t3.7 m at nadir (average at reference altitude 475 km)\t// Ground Sampling Distance (nadir)\t/\t- Panchromatic 0.86m and Multispectral 1.0m for SkySat-1&2; - Panchromatic 0.65m and Multispectral 0.8m for SkySat-3 to 13 (0.72 m and 1.0m for data acquired before 30/06/2020)\t// Accuracy\t/\t<50 m RMSE\t// The SkySat Ortho Scene is sensor- and geometrically-corrected (by using DEMs with a post spacing of between 30 and 90 meters) and is projected to a cartographic map projection; the accuracy of the product will vary from region to region based on available GCPs. Different products are available: - The SkySat Visual Ortho Scene product is orthorectified, pansharpened, and color-corrected (using a color curve) 3-band RGB Imagery - The SkySat Pansharpened Multispectral Scene product is orthorectified, pansharpened 4-band BGRN Imagery - The SkySat Analytic DN Ortho Scene product is orthorectified, multispectral BGRN, uncalibrated, digital number imagery product. The product has been processed to remove distortions caused by terrain; It eliminates the perspective effect on the ground (not on buildings), restoring the geometry of a vertical shot. Transformation to at-sensor radiance is not included - The SkySat Panchromatic DN Ortho Scene product is orthorectified, panchromatic, uncalibrated, digital number imagery product. It has a finer GSD than the Analytic Product. Transformation to at-sensor radiance is not included. - The SkySat Analytic Ortho Scene are calibrated multispectral imagery products with radiometric corrections applied to correct for any sensor artifacts and transformation to top-of-atmosphere radiance. - The SkySat Consolidated Product are Ortho Collect product created by composing ~60 SkySat Ortho Scenes (Visual, Pansharpened Multispectral, Analytic DN, Panchromatic DN) along an imaging strip into segments. Ortho Scene Product Components and Format \t/\tVisual Ortho\t/\tPansharpened Multispectral\t/\tAnalytic DN Ortho\t/\tPanchromatic DN Ortho\t/\tAnalytic Ortho\t// Product Components and Format\t/\tImage File (GeoTIFF format); Metadata File (JSON format); Rational Polynomial Coefficients (Text File); UDM File (GeoTIFF format)\t/\tImage File (GeoTIFF); Metadata File (JSON format); Rational Polynomial Coefficients (Text File); UDM File (GeoTIFF format)\t/\tImage File (GeoTIFF format); Metadata File (JSON format); Rational Polynomial Coefficients (Text File); UDM File (GeoTIFF format);\t/\tImage File (GeoTIFF format); Metadata File (JSON format); Rational Polynomial Coefficients (Text File); UDM File (GeoTIFF format)\t/\tImage File (GeoTIFF format); Metadata File (JSON format); Rational Polynomial Coefficients (Text File); UDM File (GeoTIFF format)\t// Image configuration\t/\t3-band Pansharpened Image (PS Red, PS Green, PS Blue)\t/\t4-band Pansharpened Image (PS Blue, PS Green, PS Red, PS NIR)\t/\t4-band Analytic DN Image (B, G, R, N)\t/\t1-band Panchromatic Image\t/\t4-band Analytic Image (B, G, R, N)\t// Ground Sampling Distance\t/\t50 cm\t/\t50 cm\t/\t50 cm\t/\t50 cm\t/\t50 cm\t// Projection\t/\tUTM WGS84\t/\tUTM WGS84\t/\tUTM WGS84\t/\tUTM WGS84\t/\tUTM WGS84\t// Accuracy\t/\t<10 m RMSE\t/\t<10 m RMSE\t/\t<10 m RMSE\t/\t<10 m RMSE\t/\tradiometric accuracy: +/- 5% Relative accuracy at < 10 degrees off-nadir angle\t// The products are available as part of the Planet provision from RapidEye, Skysat and PlanetScope constellations. SkySat collection has worldwide coverage: The Planet Explorer Catalogue can be accessed (Planet registration requested) to discover and check the data readiness. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability (https://earth.esa.int/eogateway/documents/20142/37627/Access-to-ESAs-Planet-Missions-Terms-of-Applicability.pdf).",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/SkySat.Full.Archive.and.New.Tasking_9.0",
+ "description": "The SkySat Level 1 Basic Scene, Level 3B Ortho Scene and Level 3B Consolidated full archive and new tasking products are available as part of the Planet imagery offer. The SkySat Basic Scene product is uncalibrated and in a raw digital number format, not corrected for any geometric distortions inherent to the imaging process. Rational Polynomial Coefficients (RPCs) are provided to enable orthorectification by the user. \u2022\tBasic Panchromatic Scene product \u2013 unorthorectified, radiometrically corrected, panchromatic (PAN) imagery. \u2022\tBasic Panchromatic DN Scene product \u2013 unorthorectified, panchromatic (PAN) imagery. \u2022\tBasic L1A Panchromatic DN Scene product \u2013 unorthorectified, pre-super resolution, panchromatic (PAN) imagery. \u2022\tBasic Analytic Scene product \u2013 unorthorectified, radiometrically corrected, 4-band multispectral (BGR-NIR) imagery. \u2022\tBasic Analytic DN Scene product \u2013 unorthorectified, 4-band multispectral (BGR-NIR) imagery. Basic Scene Product Components and Format Product Components and Format\t\u2022\tImage File (GeoTIFF format) \u2022\tMetadata File (JSON format) \u2022\tRational Polynomial Coefficients (Text File) \u2022\tUDM File (GeoTIFF format) Image Configurations\t\u2022\t1-band Panchromatic/Panchromatic DN Image (PAN) \u2022\t4-band Analytic/Analytic DN Image (Blue, Green, Red, NIR) Ground Sampling Distance (nadir)\t\u2022\tSkySat-1 & -2: 0.86 m (PAN), 1.0 m (MS) \u2022\tSkySat-3 to -15: 0.65 m (PAN), 0.8 m (MS). 0.72 m (PAN) and 1.0 m (MS) for data acquired prior to 30/06/2020 \u2022\tSkySat-16 to -21: 0.57 m (PAN), 0.75 m (MS) Geolocation Accuracy\t<50 m RMSE The SkySat Ortho Scene product is sensor- and geometrically-corrected (using DEMs with a post spacing of 30 \u2013 90 m) and is projected to a cartographic map projection; the accuracy of the product varies from region-to-region based on available GCPs. \u2022\tOrtho Panchromatic Scene product \u2013 orthorectified, radiometrically corrected, panchromatic (PAN) imagery. \u2022\tOrtho Panchromatic DN Scene product \u2013 orthorectified, panchromatic (PAN), uncalibrated digital number imagery. \u2022\tOrtho Analytic Scene product \u2013 orthorectified, 4-band multispectral (BGR-NIR) imagery. Radiometric corrections are applied to correct for any sensor artifacts and transformation to top-of-atmosphere radiance. \u2022\tOrtho Analytic DN Scene product \u2013 orthorectified, 4-band multispectral (BGR-NIR), uncalibrated digital number imagery. Radiometric corrections are applied to correct for any sensor artifacts. \u2022\tOrtho Pansharpened Multispectral Scene product \u2013 orthorectified, pansharpened, 4-band (BGR-NIR) imagery. \u2022\tOrtho Visual Scene product \u2013 orthorectified, pansharpened, colour-corrected (using a colour curve) 3-band (RGB) imagery. Ortho Scene Product Components and Format Product Components and Format\t\u2022\tImage File (GeoTIFF format) \u2022\tMetadata File (JSON format) \u2022\tRational Polynomial Coefficients (Text File) \u2022\tUDM File (GeoTIFF format) Image Configurations\t\u2022\t1-band Panchromatic/Panchromatic DN Image (PAN) \u2022\t4-band Analytic/Analytic DN Image (Blue, Green, Red, NIR) \u2022\t4-band Pansharpened Multispectral Image (Blue, Green, Red, NIR) \u2022\t3-band Pansharpened (Visual) Image (Red, Green, Blue) Orthorectified Pixel Size\t50 cm Projection\tUTM WGS84 Geolocation Accuracy\t<10 m RMSE The SkySat Ortho Collect product is created by composing SkySat Ortho Scene products along an imaging strip into segments typically unifying ~60 individual SkySat Ortho Scenes, resulting in an image with a footprint of approximately 20 km x 5.9 km. The products may contain artifacts resulting from the composing process, particular offsets in areas of stitched source scenes. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided.",
"license": "proprietary"
},
{
- "id": "SkySatESAarchive_NA",
+ "id": "SkySatESAarchive_8.0",
"title": "Skysat ESA archive",
"catalog": "ESA STAC Catalog",
"state_date": "2016-02-29",
@@ -173311,8 +173480,8 @@
"bbox": "-180, -84, 180, 84",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2547572338-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2547572338-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/SkySatESAarchive_NA",
- "description": "The SkySat ESA archive collection consists of SkySat products requested by ESA supported projects over their areas of interest around the world and that ESA collected over the years. The dataset regularly grows as ESA collects new SkySat products. Two different product types are offered, Ground Sampling Distance at nadir up to 65 cm for PAN and up to 0.8m for MS EO-SIP Product Type Product description Content SSC_DEF_SC Basic and Ortho scene * Level 1B 4-bands Analytic /DN Basic scene * Level 1B 4-bands Panchromatic /DN Basic scene * Level 1A 1-band Panchromatic DN Pre Sup resolution Basic scene * Level 3B 3-bands Visual Ortho Scene * Level 3B 4-bands Pansharpened Multispectral Ortho Scene * Level 3B 4-bands Analytic/DN/SR Ortho Scene * Level 3B 1-band Panchromatic /DN Ortho Scene SSC_DEF_CO Ortho Collect * Visual 3-band Pansharpened Image * Multispectral 4-band Pansharpened Image * Multispectral 4-band Analytic/DN/SR Image (B, G, R,N) * 1-band Panchromatic Image The Basic Scene product is uncalibrated, not radiometrically corrected for atmosphere or for any geometric distortions inherent in the imaging process \u2022Analytic - unorthorectified, radiometrically corrected, multispectral BGRN \u2022Analytic DN - unorthorectified, multispectral BGRN \u2022Panchromatic - unorthorectified, radiometrically corrected, panchromatic (PAN) \u2022Panchromatic DN - unorthorectified, panchromatic (PAN) \u2022L1A Panchromatic DN - unorthorectified, pre-super resolution, panchromatic (PAN) The Ortho Scene product is sensor and geometrically corrected, and is projected to a cartographic map projection. \u2022Visual - orthorectified, pansharpened, and color-corrected (using a color curve) 3-band RGB Imagery \u2022Pansharpened Multispectral - orthorectified, pansharpened 4-band BGRN Imagery \u2022Analytic SR - orthorectified, multispectral BGRN. Atmospherically corrected Surface Reflectance product. \u2022Analytic - orthorectified, multispectral BGRN. Radiometric corrections applied to correct for any sensor artifacts and transformation to top-of-atmosphere radiance \u2022Analytic DN - orthorectified, multispectral BGRN, uncalibrated digital number imagery product Radiometric corrections applied to correct for any sensor artifacts \u2022Panchromatic - orthorectified, radiometrically correct, panchromatic (PAN) \u2022Panchromatic DN - orthorectified, panchromatic (PAN), uncalibrated digital number imagery product The Ortho Collect product is created by composing SkySat Ortho Scenes along an imaging strip. The product may contain artifacts resulting from the composing process, particular offsets in areas of stitched source scenes.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/SkySatESAarchive_8.0",
+ "description": "The SkySat ESA archive collection consists of SkySat products requested by ESA supported projects over their areas of interest around the world and that ESA collected over the years. The dataset regularly grows as ESA collects new products. Two different product types are offered, Ground Sampling Distance at nadir up to 65 cm for panchromatic and up to 0.8m for multi-spectral. EO-SIP Product Type\tProduct Description\tContent SSC_DEF_SC\tBasic and Ortho scene\t Level 1B 4-bands Analytic /DN Basic scene Level 1B 4-bands Panchromatic /DN Basic scene Level 1A 1-band Panchromatic DN Pre Sup resolution Basic scene Level 3B 3-bands Visual Ortho Scene Level 3B 4-bands Pansharpened Multispectral Ortho Scene Level 3B 4-bands Analytic/DN/SR Ortho Scene Level 3B 1-band Panchromatic /DN Ortho Scene SSC_DEF_CO\tOrtho Collect\t Visual 3-band Pansharpened Image Multispectral 4-band Pansharpened Image Multispectral 4-band Analytic/DN/SR Image (B, G, R, N) 1-band Panchromatic Image The Basic Scene product is uncalibrated, not radiometrically corrected for atmosphere or for any geometric distortions inherent in the imaging process: Analytic - unorthorectified, radiometrically corrected, multispectral BGRN Analytic DN - unorthorectified, multispectral BGRN Panchromatic - unorthorectified, radiometrically corrected, panchromatic (PAN) Panchromatic DN - unorthorectified, panchromatic (PAN) L1A Panchromatic DN - unorthorectified, pre-super resolution, panchromatic (PAN) The Ortho Scene product is sensor and geometrically corrected, and is projected to a cartographic map projection: Visual - orthorectified, pansharpened, and colour-corrected (using a colour curve) 3-band RGB Imagery Pansharpened Multispectral - orthorectified, pansharpened 4-band BGRN Imagery Analytic SR - orthorectified, multispectral BGRN. Atmospherically corrected Surface Reflectance product. Analytic - orthorectified, multispectral BGRN. Radiometric corrections applied to correct for any sensor artifacts and transformation to top-of-atmosphere radiance. Analytic DN - orthorectified, multispectral BGRN, uncalibrated digital number imagery product Radiometric corrections applied to correct for any sensor artifacts Panchromatic - orthorectified, radiometrically correct, panchromatic (PAN) Panchromatic DN - orthorectified, panchromatic (PAN), uncalibrated digital number imagery product The Ortho Collect product is created by composing SkySat Ortho Scenes along an imaging strip. The product may contain artifacts resulting from the composing process, particular offsets in areas of stitched source scenes. Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/smcat/SkySat/ available on the Third Party Missions Dissemination Service. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided.",
"license": "proprietary"
},
{
@@ -173576,7 +173745,7 @@
"license": "proprietary"
},
{
- "id": "Spire.live.and.historical.data_NA",
+ "id": "Spire.live.and.historical.data_8.0",
"title": "Spire live and historical data",
"catalog": "ESA STAC Catalog",
"state_date": "2016-06-01",
@@ -173584,8 +173753,8 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689697-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689697-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Spire.live.and.historical.data_NA",
- "description": "The data collected by Spire from it's 110 satellites launched into Low Earth Orbit (LEO) has a diverse range of applications, from analysis of global trade patterns and commodity flows to aircraft routing to weather forecasting. The data also provides interesting research opportunities on topics as varied as ocean currents and GNSS-based planetary boundary layer height. The following products can be requested: ADS-B Data Stream Global ADS-B satellite data observed by Spire satellites and processed through the ground stations network. Historical ADS-B data older than 6 months can be delivered as data cuts containing CSV file(s) accessible through a Web Service or Cloud storage solutions. Live ADS-B data is available through a streaming API, and recent historical data can be accessed through a REST API. Data is distributed as a monthly subscription: historical data can be requested starting from 3 December 2008, the time period for live data starts from a user-defined date and continues for 30 days. AIS AIS messages include satellite AIS (S-AIS) as observed by Spire satellites and terrestrial AIS (T-AIS) from third party sensor stations (up to 40 million messages per day). Historical AIS data are delivered as a cvs file with availability back to June 2016 or via Historical API from December 2018; live AIS data are pushed to end users via TCP or through Messages API. Data is distributed as a monthly subscription, from a user-defined date and continues for a 30 day period. GNSS-Radio Occultation GNSS Radio Occultation (GNSS-RO) measurements are collected globally on a continuous basis, generating profiles of the Earth\u2019s atmosphere. Derived Level 1 and Level 2 products include both atmospheric and ionospheric products. Historical data for most of the GNSS-RO products are available from December 2018 to the present. Near real-time (within 90 minutes or less latency from collection to delivery) GNSS-RO profiles are also available upon request. GNSS Reflectometry GNSS Reflectometry (GNSS-R) is a technique to measure Earth\u2019s surface properties using reflections of GNSS signals in the form of a bistatic radar. Spire collects two types of GNSS-R data: conventional, near-nadir incidence LHCP reflections collected by the Spire GNSS-R satellites (e.g., Spire GNSS-R \u201cBatch-1\u201d satellites) and grazing angle (i.e., low elevation angle) RHCP reflections collected by the Spire GNSS-RO satellites. Derived Level 1 and Level 2 products are available, as well as some special Level 0 raw intermediate frequency (IF) data. Historical grazing angle GNSS-R data are available from May 2019 to the present, while conventional GNSS-R data are available from December 2020 to the present. Name: Automatic Identification System (AIS) Description: The automatic identification system (AIS) is an automatic tracking system that uses transponders on ships and is used by vessel traffic services. Spire data includes satellite AIS (S-AIS) as observed by Spire satellites and terrestrial AIS (T-AIS) from third party sensor stations. Data format and content: .parquet.gz files The AIS files contain time-series data on received AIS messages, both the raw NMEA message and added post-processing data for each message. Application: Supply chain analysis, commodity trading, identification of illegal fishing or dark targets, ship route and fuel use optimization, analysis of global trade patterns, anti-piracy, autonomous vessel software, ocean currents. Name: Automatic Dependent Surveillance-Broadcast (ADS-B) Description: Spire AirSafe ADS-B products give access to satellite and terrestrial ADS-B data from captured aircrafts. Data format and content: .csv.gz files The decompressed csv file contains a list of hexadecimal representations of ADS-B messages associated with the timestamp they were received on the satellite. Application: Fleet management, ICAO regulatory compliance, route optimization, predictive maintenance, global airspace, domain awareness. Name: Global Navigation Satellite System Radio Occultation (GNSS-RO) Description: GNSS atmospheric radio occultation (GNSS-RO) relies on the detection of a change in a radio signal as it passes through a planet's atmosphere, i.e. as it is refracted by the atmosphere. This data set contains precise orbit determination (POD) solutions, satellite attitude information, high-rate occultation observations, excess phase, and derived atmospheric dry temperature profiles. Data format and content: podObs*.rnx This file contains raw pseudorange, carrier phase, Doppler frequency, and signal-to-noise measurements for each observed GPS signal from a single Spire satellite which allow to estimate the positions and velocities of each Spire satellite and also used to derive ionospheric total electron content data. leoOrb*.sp3 This file contains the estimated position, velocity and receiver clock error of a given Spire satellite after processing of the POD observation file leoAtt*.log It contains 1 Hz rate quaternion information measured from a single Spire satellite describing the satellite orientation. opnGns*ro.bin, opnGns*rst.bin these files contain raw measurements from the occulting GNSS satellite (one for each signal frequency) and raw phase data from one or more reference GNSS satellites. atmPhs* The file contains occultation excess phase delay. Also contains SNR values, ransmitter and receiver positions and open loop model information. atmPrf*.nc The file contains profiles of atmospheric dry pressure, dry temperature and neutral refractivity as a function of altitude produced from full processing of one occultation event. bfrPrf*.bufr The file contains derived profiles of dry pressure, dry temperature, refractivity and bending angle for each occultation. Application:\tAtmospheric profiles of pressure, dry temperature, bending angle, and refractivity used in numerical weather prediction data assimilation and climate change studies. Name: Raw IF samples from GNSS-RO satellites Description: Raw intermediate frequency (IF) sampled data (I/Q) from the GNSS receiver front-end of GNSS-RO satellites. Data format and content: rocRIF*.zip Binary raw IF data and associated ancillary data (e.g., POD data) in a zip archive per collection event. Application: GNSS-RO studies, GNSS RFI and jamming monitoring, research. Name: Raw IF samples from GNSS-R satellites Description: Raw intermediate frequency (IF) sampled data (I/Q) from the GNSS receiver front-end of conventional GNSS-R satellites. Data format and content: gbrRIF*.zip Binary raw IF data and associated ancillary data (e.g., POD data) in a zip archive per collection event. Application: GNSS-R studies, GNSS RFI and jamming monitoring, research, etc. Name: Grazing angle GNSS-R observations Description: During grazing angle GNSS-R events, signal reflection at two frequencies is observed through the limb-facing antenna and is trackedusing an open-loop tracking technique thatrelies on a model topredict the propagationdelay and Doppler of thereflected signal. Simultaneous open-looptracking of the signaldirectly along theline-of-sight from thetransmitter to thereceiver is alsoperformed to provideadditional data that maybenecessary for signalcalibration. The mainoutput of the open-looptracking are in-phase (I)and quadrature (Q)accumulation samples(nominally at 50 Hz),which represent the residual Doppler (phase) from the model. Data format and content: grzObs*.nc L1A filecontains rawopen loopcarrier phasemeasurementsat 50 Hzsampling forgrazingangleGNSS-Rreflectionscaptured in the GNSS-RO RHC Pantennas, (bothdirect andreflectedsignals) on GNSS-RO satellites. Application: Sea surface and sea ice height extent, and classification. Name: Georeferenced grazing angle GNSS-R observations Description: The low-levelobservations of the high-rate grazing angle GNSS-R observationsbut withthegeoreferenced bistatic radar parameters of the satellite receiver,specular reflection, and GNSS transmitter included. Data format and content: grzRfl*.nc L1B file contains the georeferenced grazing angle GNSS-R data collected by Spire GNSS-RO satellites, including the low-level observables and bistatic radar geometries (e.g., receiver, specular reflection, and the transmitter locations). Application: Sea surface and sea ice height extent, and classification Name: GNSS-R calibrated bistatic radar reflectivities Description: Higher level product used to derive land-surface reflectivity. Data format and content: gbrRfl*.nc L1A along-track calibrated relative power between reflected and direct signals (e.g., bistatic radar reflectivities) measured by Spire conventional GNSS-R satellites. Application: GNSS-R studies, soil moisture, ocean wind, and sea ice applications Name: GNSS-R calibrated bistatic radar cross-sections Description: Higher level product used to derive ocean surface roughness products. Data format and content: gbrRCS*.nc L1B along-track calibrated and normalized bistatic radar cross-sections measured by Spire conventional GNSS-R satellites. Application: GNSS-R studies, ocean wind and sea ice applications Name: Combined Surface Soil Moisture Description: Combined CYGNSS and SMAP soil moisture data are provided as a combined surface soil moisture (COMB-SSM) product in two data level formats: L2U1 and L3U1. 6 x 6 km grid cell. L-band measurements of surface soil moisture benefit from better vegetation penetration in comparison to traditional C-band measurements. Data format and content: COMB-SSM.nc This file contains the combined data product containing measurements from both CYGNSS and SMAP reported on a 6 km global Equi7Grid grid. Application: Agriculture, crop insurance, farming solutions, climatology, terrain awareness, peatlands and wetlands monitoring etc. Name: Ionosphere total electron content Description: Spire routinely collects and processes a large volume of total electron content (TEC) data, representing the line-of-sight integration of electron density between a Spire satellite and a GNSS satellite. Each file contains line-of-sight ionospheric total electron content (TEC) estimates derived for a \u2018single viewing arc\u2019 contained in the POD observation file. Viewing arcs are at least 10 minutes in duration. Data format and content: podTec*.nc This file contains the line-of-sight total electron content with associated orbital information. Application: Space weather research, tsunamigenic earthquakes, weather applications, space situational awareness (SSA), autonomous vehicles etc Name: Ionosphere scintillation Description: The scintillation index for each GNSS frequency is computed onboard the spacecraft. This index provides a measure of the fluctuations of the GNSS signal over the course of 10 seconds caused by propagation of the radio signals through electron density irregularities in the ionosphere. After the raw indices are downlinked to the ground, they are packaged along with associated metadata such as orbit position to create the final scintillation data product. Data format and content: scnLv1*.nc This file contains on-board computed scintillation data (S4 only) with associated orbital information Application: Space weather research, solar events, TIDs, weather applications positioning and navigation, communications etc. Name: Electron density profile Description: Electron density profiles are retrieved as a function of altitude. Electron density profiles are processed from podTec netcdf files, which span a sufficient elevation angle range. A standard Abel inversion algorithm is applied to retrieve the profiles. Data format and content: ionPrf*.nc This file contains electron density profile retrieved from podTec files spanning appropriate elevation angle range Application: Space weather research, solar events, TIDs, weather applications positioning and navigation, communications. The products are available as part of the Spire provision with worldwide coverage. All details about the data provision, data access conditions and quota assignment procedure are described in the Terms of Applicability (https://earth.esa.int/eogateway/documents/20142/37627/SPIRE-Terms-Of-Applicability.pdf/0dd8b3e8-05fe-3312-6471-a417c6503639).",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Spire.live.and.historical.data_8.0",
+ "description": "The data collected by Spire from it's 100 satellites launched into Low Earth Orbit (LEO) has a diverse range of applications, from analysis of global trade patterns and commodity flows to aircraft routing to weather forecasting. The data also provides interesting research opportunities on topics as varied as ocean currents and GNSS-based planetary boundary layer height. The following products can be requested: GNSS Polarimetric Radio Occultation (STRATOS) Novel Polarimetric Radio Occultation (PRO) measurements collected by three Spire satellites are available over 15-May-2023 to 30-November-2023. PRO differ from regular RO (described below) in that the H and V polarizations of the signal are available, as opposed to only Right-Handed Circularly Polarized (RHCP) signals in regular RO. The differential phase shift between H and V correlates with the presence of hydrometeors (ice crystals, rain, snow, etc.). When combined, the H and V information provides the same information on atmospheric thermodynamic properties as RO: temperature, humidity, and pressure, based on the signal\u2019s bending angle. Various levels of the products are provided. GNSS Reflectometry (STRATOS) GNSS Reflectometry (GNSS-R) is a technique to measure Earth\u2019s surface properties using reflections of GNSS signals in the form of a bistatic radar. Spire collects two types of GNSS-R data: Near-Nadir incidence LHCP reflections collected by the Spire GNSS-R satellites, and Grazing-Angle GNSS-R (i.e., low elevation angle) RHCP reflections collected by the Spire GNSS-RO satellites. The Near-Nadir GNSS-R collects DDM (Delay Doppler Map) reflectivity measurements. These are used to compute ocean wind / wave conditions and soil moisture over land. The Grazing-Angle GNSS-R collects 50 Hz reflectivity and additionally carrier phase observations. These are used for altimetry and characterization of smooth surfaces (such as ice and inland water). Derived Level 1 and Level 2 products are available, as well as some special Level 0 raw intermediate frequency (IF) data. Historical grazing angle GNSS-R data are available from May 2019 to the present, while near-nadir GNSS-R data are available from December 2020 to the present. Name\tTemporal coverage\tSpatial coverage\tDescription\tData format and content\tApplication Polarimetric Radio Occultation (PRO) measurements\t15-May-2023 to 30-November-2023\tGlobal\tPRO measurements observe the properties of GNSS signals as they pass through by Earth's atmosphere, similar to regular RO measurements. The polarization state of the signals is recorded separately for H and V polarizations to provide information on the anisotropy of hydrometeors along the propagation path. \tleoOrb.sp3. This file contains the estimated position, velocity and receiver clock error of a given Spire satellite after processing of the POD observation file\tPRO measurements add a sensitivity to ice and precipitation content alongside the traditional RO measurements of the atmospheric temperature, pressure, and water vapor. \t\t\t\tproObs. Level 0 - Raw open loop carrier phase measurements at 50 Hz sampling for both linear polarization components (horizontal and vertical) of the occulted GNSS signal.\t \t\t\t\th(v)(c)atmPhs. Level 1B - Atmospheric excess phase delay computed for each individual linear polarization component (hatmPhs, vatmPhs) and for the combined (\u201cH\u201d + \u201cV\u201d) signal (catmPhs). Also contains values for signal-to-noise ratio, transmitter and receiver positions and open loop model information.\t \t\t\t\tpolPhs. Level 1C - Combines the information from the hatmPhs and vatmPhs files while removing phase continuities due to phase wrapping and navigation bit modulation.\t \t\t\t\tpatmPrf. Level 2 - Bending angle, dry refractivity, and dry temperature as a function of mean sea level altitude and impact parameter derived from the \u201ccombined\u201d excess phase delay (catmPhs)\t Near-Nadir GNSS Reflectometry (NN GNSS-R) measurements \t25-January-2024 to 24-July-2024\tGlobal\tTracks of surface reflections as observed by the near-nadir pointing GNSS-R antennas, based on Delay Doppler Maps (DDMs).\tgbrRCS.nc. Level 1B - Along-track calibrated bistatic radar cross-sections measured by Spire conventional GNSS-R satellites.\tNN GNSS-R measurements are used to measure ocean surface winds and characterize land surfaces for applications such as soil moisture, freeze/thaw monitoring, flooding detection, inland water body delineation, sea ice classification, etc. \t\t\t\tgbrNRCS.nc. Level 1B - Along-track calibrated bistatic and normalized radar cross-sections measured by Spire conventional GNSS-R satellites.\t \t\t\t\tgbrSSM.nc. Level 2 - Along-track SNR, reflectivity, and retrievals of soil moisture (and associated uncertainties) and probability of frozen ground.\t \t\t\t\tgbrOcn.nc. Level 2 - Along-track retrievals of mean square slope (MSS) of the sea surface, wind speed, sigma0, and associated uncertainties.\t Grazing angle GNSS Reflectometry (GA GNSS-R) measurements\t25-January-2024 to 24-July-2024\tGlobal\tTracks of surface reflections as observed by the limb-facing RO antennas, based on open-loop tracking outputs: 50 Hz collections of accumulated I/Q observations.\tgrzRfl.nc. Level 1B - Along-track SNR, reflectivity, phase delay (with respect to an open loop model) and low-level observables and bistatic radar geometries such as receiver, specular reflection, and the transmitter locations.\tGA GNSS-R measurements are used to 1) characterize land surfaces for applications such as sea ice classification, freeze/thaw monitoring, inland water body detection and delineation, etc., and 2) measure relative altimetry with dm-level precision for inland water bodies, river slopes, sea ice freeboard, etc., but also water vapor characterization from delay based on tropospheric delays. \t\t\t\tgrzIce.nc. Level 2 - Along-track water vs sea ice classification, along with sea ice type classification.\t \t\t\t\tgrzAlt.nc. Level 2 - Along-track phase-delay, ionosphere-corrected altimetry, tropospheric delay, and ancillary models (mean sea surface, tides).\t Additionally, the following products (better detailed in the ToA) can be requested but the acceptance is not guaranteed and shall be evaluated on a case-by-case basis: Other STRATOS measurements: profiles of the Earth\u2019s atmosphere and ionosphere, from December 2018 ADS-B Data Stream: monthly subscription to global ADS-B satellite data, available from December 2018 AIS messages: AIS messages observed from Spire satellites (S-AIS) and terrestrial from partner sensor stations (T-AIS), monthly subscription available from June 2016 The products are available as part of the Spire provision with worldwide coverage. All details about the data provision, data access conditions and quota assignment procedure are described in the _$$Terms of Applicability$$ https://earth.esa.int/eogateway/documents/20142/37627/SPIRE-Terms-Of-Applicability.pdf/0dd8b3e8-05fe-3312-6471-a417c6503639 .",
"license": "proprietary"
},
{
@@ -173719,7 +173888,7 @@
"license": "proprietary"
},
{
- "id": "Swarm.Core_NA",
+ "id": "Swarm.Core_3.0",
"title": "Swarm Core",
"catalog": "ESA STAC Catalog",
"state_date": "2018-11-15",
@@ -173727,12 +173896,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689653-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689653-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Swarm.Core_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Swarm.Core_3.0",
"description": "Spherical harmonic model of the main (core) field and its temporal variation",
"license": "proprietary"
},
{
- "id": "Swarm.Geodesy_Gravity_NA",
+ "id": "Swarm.Geodesy_Gravity_3.0",
"title": "Swarm Geodesy/Gravity",
"catalog": "ESA STAC Catalog",
"state_date": "2018-11-15",
@@ -173740,12 +173909,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689597-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689597-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Swarm.Geodesy_Gravity_NA",
- "description": "Monthly gravity field of the Earth, non-gravitational accelerations",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Swarm.Geodesy_Gravity_3.0",
+ "description": "Monthly gravity field of the Earth, non-gravitational accelerations",
"license": "proprietary"
},
{
- "id": "Swarm.Ionosphere_Magnetosphere_NA",
+ "id": "Swarm.Ionosphere_Magnetosphere_3.0",
"title": "Swarm Ionosphere/Magnetosphere",
"catalog": "ESA STAC Catalog",
"state_date": "2018-11-15",
@@ -173753,12 +173922,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689690-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689690-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Swarm.Ionosphere_Magnetosphere_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Swarm.Ionosphere_Magnetosphere_3.0",
"description": "Spherical harmonic model of the large-scale magnetospheric field and its Earth-induced counterpart, spherical harmonic model of the daily geomagnetic variation at middle latitudes and low latitudes ,Ionospheric bubble index, ionospheric total electron content, ionosphericfield-aligned currents, dayside ionospheric equatorial electric field, ionospheric plasma density and plasma irregularities",
"license": "proprietary"
},
{
- "id": "Swarm.L1B_NA",
+ "id": "Swarm.L1B_4.0",
"title": "Swarm Level 1B",
"catalog": "ESA STAC Catalog",
"state_date": "2013-11-25",
@@ -173766,12 +173935,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689688-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689688-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Swarm.L1B_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Swarm.L1B_4.0",
"description": "The Level 1b products of the Swarm mission contains time-series of quality-screen, calibrated, and corrected measurements given in physical, SI units in geo-localized reference frames. Level 1b products are provided individually for each of the three satellites Swarm A, Swarm B, and Swarm C on a daily basis.",
"license": "proprietary"
},
{
- "id": "Swarm.L2.daily_NA",
+ "id": "Swarm.L2.daily_3.0",
"title": "Swarm Level 2 daily",
"catalog": "ESA STAC Catalog",
"state_date": "2013-11-25",
@@ -173779,12 +173948,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689491-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689491-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Swarm.L2.daily_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Swarm.L2.daily_3.0",
"description": "The Swarm Level 1b data products are the corrected and formatted output from each of the three Swarm satellites. By a complex assimilation of these individual satellite measurements into one set of products for the satellite constellation, the Swarm Level 2 Processor ensures a very significant improvement of the quality of the final scientific data products.",
"license": "proprietary"
},
{
- "id": "Swarm.L2.longterm_NA",
+ "id": "Swarm.L2.longterm_3.0",
"title": "Swarm Level 2 longterm",
"catalog": "ESA STAC Catalog",
"state_date": "2013-11-25",
@@ -173792,12 +173961,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689618-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689618-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Swarm.L2.longterm_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Swarm.L2.longterm_3.0",
"description": "The Swarm Level 2 Long Term data products are the corrected and formatted output from each of the three Swarm satellites. By a complex assimilation of these individual satellite measurements into one set of products for the satellite constellation, the Swarm Level 2 Processor ensures a very significant improvement of the quality of the final scientific data products.",
"license": "proprietary"
},
{
- "id": "Swarm.Lithosphere_NA",
+ "id": "Swarm.Lithosphere_3.0",
"title": "Swarm Lithosphere",
"catalog": "ESA STAC Catalog",
"state_date": "2018-11-15",
@@ -173805,12 +173974,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689639-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689639-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Swarm.Lithosphere_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Swarm.Lithosphere_3.0",
"description": "Spherical harmonic model of the lithospheric field",
"license": "proprietary"
},
{
- "id": "Swarm.Mantle_NA",
+ "id": "Swarm.Mantle_3.0",
"title": "Swarm Mantle",
"catalog": "ESA STAC Catalog",
"state_date": "2018-11-15",
@@ -173818,12 +173987,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689591-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689591-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Swarm.Mantle_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Swarm.Mantle_3.0",
"description": "Model of mantle conductivity, core-mantle interaction",
"license": "proprietary"
},
{
- "id": "Swarm.Oceans_NA",
+ "id": "Swarm.Oceans_3.0",
"title": "Swarm Oceans",
"catalog": "ESA STAC Catalog",
"state_date": "2018-11-15",
@@ -173831,12 +174000,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689542-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689542-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Swarm.Oceans_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Swarm.Oceans_3.0",
"description": "Oceans tides, induced magnetic field",
"license": "proprietary"
},
{
- "id": "Swarm.Space.Weather_NA",
+ "id": "Swarm.Space.Weather_3.0",
"title": "Swarm Space Weather",
"catalog": "ESA STAC Catalog",
"state_date": "2018-11-15",
@@ -173844,12 +174013,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689689-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689689-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Swarm.Space.Weather_NA",
- "description": "Environmental conditions in Earth's magnetosphere, ionosphere and thermosphere due to the solar activity that drive the Sun-Earth interactions",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Swarm.Space.Weather_3.0",
+ "description": "Environmental conditions in Earth's magnetosphere, ionosphere and thermosphere due to the solar activity that drive the Sun-Earth interactions",
"license": "proprietary"
},
{
- "id": "Swarm.Thermosphere_NA",
+ "id": "Swarm.Thermosphere_4.0",
"title": "Swarm Thermosphere",
"catalog": "ESA STAC Catalog",
"state_date": "2018-11-15",
@@ -173857,7 +174026,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689496-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689496-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Swarm.Thermosphere_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Swarm.Thermosphere_4.0",
"description": "Neutral thermospheric density",
"license": "proprietary"
},
@@ -174017,6 +174186,84 @@
"description": "TCTE3TSID Version 004 is the final version of this data product, and supersedes all previous versions. The Total Solar Irradiance (TSI) Calibration Transfer Experiment (TCTE) data set TCTE3TSID contains daily averaged total solar irradiance (a.k.a solar constant) data collected by the Total Irradiance Monitor (TIM) instrument covering the full wavelength spectrum. The data are normalized to one astronomical unit (1 AU). The TCTE/TIM instrument measures the Total Solar Irradiance (TSI), monitoring changes in incident sunlight to the Earth's atmosphere using an ambient temperature active cavity radiometer to a designed absolute accuracy of 350 parts per million (ppm, 1 ppm=0.0001% at 1-sigma), and a precision and long-term relative accuracy of 10 ppm per year. Due to the small size of these data and to maximize ease of use to end-users, each delivered TSI product contains science results for the entire mission in an ASCII column formatted file. Early in the mission, between Dec 2013 and May 2014, TCTE acquired daily measurements to establish good overlap with the SORCE TIM. From May 2014 to Dec 2014, the TCTE measurements were reduced to weekly, which greatly subsample the true solar variability, and thus have little value for solar research. Beginning in Jan 2015, daily obervations were resumed. The mission ended June 30, 2019. ",
"license": "proprietary"
},
+ {
+ "id": "TDPforAtmosphere_4.0",
+ "title": "Atmospheric Thematic Data Product [MWR_TDPATM]",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "1991-08-03",
+ "end_date": "2012-04-08",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325393992-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325393992-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/TDPforAtmosphere_4.0",
+ "description": "This is the Atmospheric Thematic Data Product (TDP) V1 resulting from the _$$ESA FDR4ALT project$$ https://www.fdr4alt.org/ and containing Total Column Water Vapour (TCWV), Cloud Liquid Water Path (LWP), Atmospheric Attenuation of the altimeter backscattering coefficient at Ku-band (AttKu), and Wet Tropospheric Correction (WTC), retrieved from observations of the Microwave Radiometer (MWR) instruments flown on-board the ERS-1, and ERS-2, and Envisat satellites. Compared to existing datasets, the Atmospheric TDP demonstrates notable improvements in several aspects: Improved temporal coverage, especially for ERS-2 Improved L0 -> 1 processing Two different corrections are provided based on a neural network retrieval or on a 1D-VAR approach The FDR4ALT products are available in NetCDF format. Free standard tools for reading NetCDF data can be used. Information for expert altimetry users is also available in a dedicated NetCDF group within the products. Please consult the _$$FDR4ALT Product User Guide$$ https://earth.esa.int/eogateway/documents/d/earth-online/fdr4alt-products-user-guide before using the data. The FDR4ALT datasets represent the new reference data for the ERS/Envisat altimetry missions, superseding any previous mission data. Users are strongly encouraged to make use of these datasets for optimal results.",
+ "license": "proprietary"
+ },
+ {
+ "id": "TDPforInlandWater_4.0",
+ "title": "Inland Waters Thematic Data Product [ALT_TDP_IW]",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "1991-08-04",
+ "end_date": "2012-04-08",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394637-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394637-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/TDPforInlandWater_4.0",
+ "description": "This is the Inland Waters Thematic Data Product (TDP) V1 resulting from the _$$ESA FDR4ALT project$$ https://www.fdr4alt.org/ and containing improved Water Surface Height (WSH) data record from the ERS-1, ERS-2 and Envisat missions estimated using the ICE1 retracking range for its better performance on the hydro targets. The FDR4ALT products are available in NetCDF format. Free standard tools for reading NetCDF data can be used. Information for expert altimetry users is also available in a dedicated NetCDF group within the products. Please consult the _$$FDR4ALT Product User Guide$$ https://earth.esa.int/eogateway/documents/d/earth-online/fdr4alt-products-user-guide before using the data. The FDR4ALT datasets represent the new reference data for the ERS/Envisat altimetry missions, superseding any previous mission data. Users are strongly encouraged to make use of these datasets for optimal results.",
+ "license": "proprietary"
+ },
+ {
+ "id": "TDPforLandice_4.0",
+ "title": "Land Ice Thematic Data Product [ALT_TDP_LI]",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "1991-08-03",
+ "end_date": "2012-03-08",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325393938-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325393938-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/TDPforLandice_4.0",
+ "description": "This is the Land Ice Thematic Data Product (TDP) V1 resulting from the _$$ESA FDR4ALT project$$ https://www.fdr4alt.org/ and containing estimates of ice sheet surface elevation and associated uncertainties. The collection covers data for three different missions: ERS-1, ERS-2 and Envisat, and based on Level 1 data coming from previous reprocessing (ERS REAPER and the Envisat V3.0) but taking into account the improvements made at Level 0/Level 1 in the frame of FDR4ALT (_$$ALT FDR$$ https://earth.esa.int/eogateway/catalog/fdr-for-altimetry). The Land Ice TDP focuses specifically on the ice sheets of Greenland and Antarctica, providing these data in different files. For many aspects, the Land Ice Level 2 and Level 2+ processing is very innovative: Improved relocation approach correcting for topographic effects within the beam footprint to identify the Point of Closest Approach Homogeneous timeseries of surface elevation measurements at regular along-track reference nodes. The FDR4ALT products are available in NetCDF format. Free standard tools for reading NetCDF data can be used. Information for expert altimetry users is also available in a dedicated NetCDF group within the products. Please consult the _$$FDR4ALT Product User Guide$$ https://earth.esa.int/eogateway/documents/d/earth-online/fdr4alt-products-user-guide before using the data. The FDR4ALT datasets represent the new reference data for the ERS/Envisat altimetry missions, superseding any previous mission data. Users are strongly encouraged to make use of these datasets for optimal results.",
+ "license": "proprietary"
+ },
+ {
+ "id": "TDPforOceanCoastalTopography_4.0",
+ "title": "Ocean and Coastal Topography Thematic Data Product [ALT_TDP_OC]",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "1991-08-03",
+ "end_date": "2012-04-08",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394134-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394134-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/TDPforOceanCoastalTopography_4.0",
+ "description": "This is the Ocean and Coastal Topography Thematic Data Product (TDP) V1 resulting from the _$$ESA FDR4ALT project$$ https://www.fdr4alt.org/ and containing improved sea surface height anomaly data records both at 1 Hz and 20 Hz resolution to address climate and/or coastal areas studies. The collection covers data for the ERS-1, ERS-2 and Envisat missions. Note that a dedicated processing to coastal zones has been applied for coastal distances below 200 km. Compared to existing datasets, the Ocean and Coastal Topography TDP demonstrates notable improvements in several aspects: Up-to-date orbit and geophysical corrections applied Adaptive retracker for Envisat The FDR4ALT products are available in NetCDF format. Free standard tools for reading NetCDF data can be used. Information for expert altimetry users is also available in a dedicated NetCDF group within the products. Please consult the _$$FDR4ALT Product User Guide$$ https://earth.esa.int/eogateway/documents/d/earth-online/fdr4alt-products-user-guide before using the data. The FDR4ALT datasets represent the new reference data for the ERS/Envisat altimetry missions, superseding any previous mission data. Users are strongly encouraged to make use of these datasets for optimal results.",
+ "license": "proprietary"
+ },
+ {
+ "id": "TDPforOceanWaves_4.0",
+ "title": "Ocean Waves Thematic Data Product [ALT_TDP_WA]",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "1991-08-03",
+ "end_date": "2012-04-08",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394617-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394617-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/TDPforOceanWaves_4.0",
+ "description": "This is the Ocean Waves Thematic Data Product (TDP) V1 resulting from the _$$ESA FDR4ALT project$$ https://www.fdr4alt.org/ and containing Significant Wave Height estimates for the ERS-1, ERS-2 and Envisat missions. Compared to existing datasets, the Ocean Waves TDP demonstrates notable improvements in several aspects: Great improvements for Envisat due to noise reduction from Adaptive retracker and High-Frequency Adjustment (HFA) All variables are given at 5 Hz The FDR4ALT products are available in NetCDF format. Free standard tools for reading NetCDF data can be used. Information for expert altimetry users is also available in a dedicated NetCDF group within the products. Please consult the _$$FDR4ALT Product User Guide$$ https://earth.esa.int/eogateway/documents/d/earth-online/fdr4alt-products-user-guide before using the data. The FDR4ALT datasets represent the new reference data for the ERS/Envisat altimetry missions, superseding any previous mission data. Users are strongly encouraged to make use of these datasets for optimal results.",
+ "license": "proprietary"
+ },
+ {
+ "id": "TDPforSeaice_4.0",
+ "title": "Sea Ice Thematic Data Product [ALT_TDP_SI]",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "1991-08-03",
+ "end_date": "2012-04-08",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325393908-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325393908-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/TDPforSeaice_4.0",
+ "description": "This is the Sea Ice Thematic Data Product (TDP) V1 resulting from the _$$ESA FDR4ALT project$$ https://www.fdr4alt.org/ and containing the sea ice related geophysical parameters, along with associated uncertainties: snow depth, radar and sea-ice freeboard, sea ice thickness and concentration. The collection covers data for the ERS-1, ERS-2 and Envisat missions, and bases on Level 1 data coming from previous reprocessing (ERS REAPER and the Envisat V3.0) but taking into account the improvements made at Level 0/Level 1 in the frame of FDR4ALT (_$$ALT FDR$$ https://earth.esa.int/eogateway/catalog/fdr-for-altimetry). The Sea Ice TDP provides data from the northern or southern hemisphere in two files corresponding to the Arctic and Antarctic regions respectively for the winter periods only, i.e., October to June for the Arctic, and May to November for the Antarctic. For many aspects, the Sea Ice TDP is very innovative: First time series of sea-ice thickness estimates for ERS Homogeneous calibration, allowing the first Arctic radar freeboard time series from ERS-1 (1991) to CryoSat-2 (2021) Uncertainties estimated along-track with a bottom-up approach based on dominant sources ERS pulse blurring error corrected using literature procedure [Peacock, 2004] The FDR4ALT products are available in NetCDF format. Free standard tools for reading NetCDF data can be used. Information for expert altimetry users is also available in a dedicated NetCDF group within the products. Please consult the _$$FDR4ALT Product User Guide$$ https://earth.esa.int/eogateway/documents/d/earth-online/fdr4alt-products-user-guide before using the data. The FDR4ALT datasets represent the new reference data for the ERS/Envisat altimetry missions, superseding any previous mission data. Users are strongly encouraged to make use of these datasets for optimal results.",
+ "license": "proprietary"
+ },
{
"id": "TELLUS_GIA_L3_0.5-DEG_V1.0_1.0",
"title": "TELLUS GRACE Level-3 0.5-degree Glacial Isostatic Adjustment v1.0 datasets produced by JPL",
@@ -181961,7 +182208,7 @@
"license": "proprietary"
},
{
- "id": "Tansat_NA",
+ "id": "Tansat_3.0",
"title": "TANSAT AGCS and CAPI products",
"catalog": "ESA STAC Catalog",
"state_date": "2017-03-01",
@@ -181969,8 +182216,8 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2619280523-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2619280523-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Tansat_NA",
- "description": "The Atmospheric Carbon-dioxide Grating Spectrometer (ACGS) instrument is pushbroom spectrometer operating in NIR and SWIR bands which allows the measuring of CO2 mole fraction. The available ACGS products have a temporal coverage between March 2017 and January 2020 (not all days included in the time frame): \u2022\tL1A DS: Sample Dark Calibration sample product \u2022\tL1A GL: Sample Glint Sample products \u2022\tL1A LS: Sample Lamp Calibration sample product \u2022\tL1A ND: Principal-Plane Nadir Sample product \u2022\tL1A ZS: Sample Z-Axis Solar Calibration Sample \u2022\tL1B CAL DS: Sample Dark Calibration product \u2022\tL1B CAL LS: Sample Lamp Calibration product \u2022\tL1B CAL ZS: Sample Z-Axis Solar Calibration product \u2022\tL1B SCI GL: Sample Glint Science product \u2022\tL1B SCI ND: Principal-Plane Nadir Science product The Cloud Aerosol Polarization Imager (CAPI) is a pushbroom radiometer in VIS, NIR and SWIR bands for the observation of aerosols and clouds optical properties. The CAPI products are available in a time range from July 2019 and January 2020 (not all days included in the time frame): \u2022\tL1A ND: Principal-Plane Nadir product \u2022\tL1B ND 1000M : Principal-Plane Nadir products at 1000m resolution (1375nm, 1640nm) \u2022\tL1B ND 250M : Principal-Plane Nadir products at 250m resolution (380nm, 670nm, 870nm) \u2022\tL1B ND GEOQK: Principal-Plane Nadir georeferenced at 250m resolution \u2022\tL1B ND GEO1K: Principal-Plane Nadir georeferenced at 1000m resolution \u2022\tL1B ND OBC: Principal-Plane Nadir on-board calibrator product \u2022\tL2 ND CLM: Principal-Plane Nadir cloud flag product",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Tansat_3.0",
+ "description": "The Atmospheric Carbon-dioxide Grating Spectrometer (ACGS) instrument is pushbroom spectrometer operating in NIR and SWIR bands which allows the measuring of CO2 mole fraction. The available ACGS products have a temporal coverage between March 2017 and January 2020 (not all days included in the time frame): \u2022\tL1A DS: Sample Dark Calibration sample product \u2022\tL1A GL: Sample Glint Sample products \u2022\tL1A LS: Sample Lamp Calibration sample product \u2022\tL1A ND: Principal-Plane Nadir Sample product \u2022\tL1A ZS: Sample Z-Axis Solar Calibration Sample \u2022\tL1B CAL DS: Sample Dark Calibration product \u2022\tL1B CAL LS: Sample Lamp Calibration product \u2022\tL1B CAL ZS: Sample Z-Axis Solar Calibration product \u2022\tL1B SCI GL: Sample Glint Science product \u2022\tL1B SCI ND: Principal-Plane Nadir Science product The Cloud Aerosol Polarization Imager (CAPI) is a pushbroom radiometer in VIS, NIR and SWIR bands for the observation of aerosols and clouds optical properties. The CAPI products are available in a time range from July 2019 and January 2020 (not all days included in the time frame): \u2022\tL1A ND: Principal-Plane Nadir product \u2022\tL1B ND 1000M : Principal-Plane Nadir products at 1000m resolution (1375nm, 1640nm) \u2022\tL1B ND 250M : Principal-Plane Nadir products at 250m resolution (380nm, 670nm, 870nm) \u2022\tL1B ND GEOQK: Principal-Plane Nadir georeferenced at 250m resolution \u2022\tL1B ND GEO1K: Principal-Plane Nadir georeferenced at 1000m resolution \u2022\tL1B ND OBC: Principal-Plane Nadir on-board calibrator product \u2022\tL2 ND CLM: Principal-Plane Nadir cloud flag product",
"license": "proprietary"
},
{
@@ -182013,7 +182260,7 @@
"license": "proprietary"
},
{
- "id": "TerraSAR-X_NA",
+ "id": "TerraSAR-X_8.0",
"title": "TerraSAR-X ESA archive",
"catalog": "ESA STAC Catalog",
"state_date": "2007-07-01",
@@ -182021,12 +182268,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2207506474-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2207506474-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/TerraSAR-X_NA",
- "description": "The TerraSAR-X ESA archive collection consists of TerraSAR-X and TanDEM-X products requested by ESA supported projects over their areas of interest around the world. The dataset regularly grows as ESA collects new products over the years. TerraSAR-X/TanDEM-X Image Products can be acquired in 6 image modes with flexible resolutions (from 0.25m to 40m) and scene sizes. Thanks to different polarimetric combinations and processing levels the delivered imagery can be tailored specifically to meet the requirements of the application. The following list delineates the characteristics of the SAR imaging modes that are disseminated under ESA Third Party Missions (TPM). \u2022 StripMap (SM): Resolution 3 m, Scene size 30x50 km2 (up to 30x1650 km2) \u2022 SpotLight (SL): Resolution 2 m, Scene size 10x10 km2 \u2022 Staring SpotLight (ST): Resolution 0.25m, Scene size 4x3.7 km2 \u2022 High Resolution SpotLight (HS): Resolution 1 m, Scene size 10x5 km2 \u2022 ScanSAR (SC): Resolution 18 m, Scene size 100x150 km2 (up to 100x1650 km2) \u2022 Wide ScanSAR (WS): Resolution 40 m, Scene size 270x200 km2 (up to 270x1500 km2) The following list briefly delineates the available processing levels for the TerraSAR-X dataset: \u2022 SSC (Single Look Slant Range Complex) in DLR-defined COSAR binary format \u2022 MGD (Multi Look Ground Range Detected) in GeoTiff format \u2022 GEC (Geocoded Ellipsoid Corrected) in GeoTiff format \u2022 EEC (Enhanced Ellipsoid Corrected in GeoTiff format",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/TerraSAR-X_8.0",
+ "description": "The TerraSAR-X ESA archive collection consists of TerraSAR-X and TanDEM-X products requested by ESA supported projects over their areas of interest around the world. The dataset regularly grows as ESA collects new products over the years. TerraSAR-X/TanDEM-X Image Products can be acquired in 6 image modes with flexible resolutions (from 0.25m to 40m) and scene sizes. Thanks to different polarimetric combinations and processing levels the delivered imagery can be tailored specifically to meet the requirements of the application. The following list delineates the characteristics of the SAR imaging modes that are disseminated under ESA Third Party Missions (TPM). \u2022 StripMap (SM): Resolution 3 m, Scene size 30x50 km2 (up to 30x1650 km2) \u2022 SpotLight (SL): Resolution 2 m, Scene size 10x10 km2 \u2022 Staring SpotLight (ST): Resolution 0.25m, Scene size 4x3.7 km2 \u2022 High Resolution SpotLight (HS): Resolution 1 m, Scene size 10x5 km2 \u2022 ScanSAR (SC): Resolution 18 m, Scene size 100x150 km2 (up to 100x1650 km2) \u2022 Wide ScanSAR (WS): Resolution 40 m, Scene size 270x200 km2 (up to 270x1500 km2) The following list briefly delineates the available processing levels for the TerraSAR-X dataset: \u2022 SSC (Single Look Slant Range Complex) in DLR-defined COSAR binary format \u2022 MGD (Multi Look Ground Range Detected) in GeoTiff format \u2022 GEC (Geocoded Ellipsoid Corrected) in GeoTiff format \u2022 EEC (Enhanced Ellipsoid Corrected in GeoTiff format",
"license": "proprietary"
},
{
- "id": "TerraSAR-X_TanDEM-X.full.archive.and.tasking_NA",
+ "id": "TerraSAR-X_TanDEM-X.full.archive.and.tasking_7.0",
"title": "TerraSAR-X/TanDEM-X full archive and tasking",
"catalog": "ESA STAC Catalog",
"state_date": "2007-11-19",
@@ -182034,8 +182281,8 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689619-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689619-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/TerraSAR-X_TanDEM-X.full.archive.and.tasking_NA",
- "description": "TerraSAR-X/TanDEM-X full archive and new tasking products can be acquired in six image modes with flexible resolutions (from 0.25 m to 40 m) and scene sizes and are provided in different packages: Staring SpotLight (basic, Interferometric pack, and Maritime pack) High Resolution SpotLight (basic, Interferometric pack, and Maritime pack) SpotLight (basic, Interferometric pack, and Maritime pack) StripMap (basic, Interferometric pack, and Maritime pack) ScanSAR (basic and Maritime pack) Wide ScanSAR (basic and Maritime pack) Product Overview: >> Product: SAR-ST \u2022 Instrument mode: Staring SpotLight \u2022 Available resolutions (up to): 0.25 m \u2022 Scene size: 4x3.7 km2 >> Product: SAR-HS \u2022 Instrument mode: High Resolution SpotLight \u2022 Available resolutions (up to): 1 m \u2022 Scene size: 10x5 km2 >> Product: SAR-SL \u2022 Instrument mode: SpotLight \u2022 Available resolutions (up to): 2 m \u2022 Scene size: 10x10 km2 >> Product: SAR-SM \u2022 Instrument mode: StripMap \u2022 Available resolutions (up to): 3 m \u2022 Scene size: 30x50 km2 (up to 30x1650) \u2022 Basic products (SAR-SM) are intended as the products delivered as a standard scene. The available processing levels are: SSC (Single Look Slant Range Complex) in DLR-defined COSAR binary format, MGD (Multi Look Ground Range Detected) in GeoTiff format, GEC (Geocoded Ellipsoid Corrected) in GeoTiff format, EEC (Enhanced Ellipsoid Corrected) in GeoTiff format. >> Product: SAR-SC \u2022 Instrument mode: ScanSAR \u2022 Available resolutions (up to): 18 m \u2022 Scene size: 100x150 km2 (up to 100x1650) >> Product: SAR-WS \u2022 Instrument mode: Wide ScanSAR \u2022 Available resolutions (up to): 40 m \u2022 Scene size: 270x200 km2 (up to 270x1500) >> Available processing levels: \u2022 SSC (Single Look Slant Range Complex): azimuth - slant range (time domain) \u2022 MGD (Multi Look Ground Range Detected): azimuth - ground range (without terrain correction) \u2022 GEC (Geocoded Ellipsoid Corrected): map geometry with ellipsoidal corrections only (no terrain correction performed) \u2022 EEC (Enhanced Ellipsoid Corrected): map geometry with terrain correction, using a DEM >> Format: \u2022 SSC: DLR-defined COSAR binary \u2022 MGD: GeoTiff \u2022 GEC: GeoTiff \u2022 EEC: GeoTiff >> Spatial coverage: Worldwide >> Interferometry package: \u2022 InSAR-ST, InSAR-HS, InSAR-SL, InSAR-SM \u2022 Only SSC \u2022 At least five ordered scenes within six months from first order \u2022 N/A for SAR-SC and SAR-WS >> Maritime Monitoring package: \u2022 MmSAR-ST, MmSAR-HS, MmSAR-SL, MmSAR-SM, MmSAR-SC, MmSAR-WS \u2022 Only SSC, MGD, GEC \u2022 At least 75% of the scene area is water \u2022 More than five ordered scenes in three months The following WorldDEM products can be requested: Product: WorldDEMcore Description: WorldDEMcore is output of interferometric processing of StripMap data pairs without any post-processing Product: WorldDEMTM Description: WorldDEMTM is produced based on WorldDEMcore, representing the surface of the Earth (including buildings, infrastructure and vegetation). Hydrological consistency is ensured Product: WorldDEM DTM Description: In additional editing steps, WorldDEMTMis transformed into a Digital Terrain Model (DTM) representing bare Earth elevation Product: WorldDEM Bundle Description: Includes WorldDEMTM, WorldDEM DTM, and Quality Layers The main specifications of the WorldDEM products are: - Horizontal Coordinate Reference System: World Geodetic System 1984 (WGS84-G1150) - Vertical Coordinate Reference System: Earth Gravitational Model 2008 (EGM2008) - Absolute Horizontal Accuracy: <6 m - Vertical Accuracy: 2 m Relative, 4 m Absolute - Quality Layers (including water body mask) can be requested as an option with the WorldDEM and WorldDEM DTM - Auxiliary Layers are delivered together with the WorldDEMcore product The products are available as part of the Airbus provision from TerraSAR-X and Tandem-X missions with worldwide coverage: the TerraSAR-X/TanDEM-X Catalogue (https://terrasar-x-archive.terrasar.com/) can be accessed to discover and check the basic product data readiness; using the WorldDEM database viewers (https://worlddem-database.terrasar.com/ ). All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability (https://earth.esa.int/eogateway/documents/20142/37627/TSX-TDX-Terms-Of-Applicability.pdf/265d10ac-6900-45de-8d31-ccfe3dd8d6e6) available in Resources section.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/TerraSAR-X_TanDEM-X.full.archive.and.tasking_7.0",
+ "description": "TerraSAR-X/TanDEM-X full archive and new tasking products can be acquired in six image modes with flexible resolutions (from 0.25 m to 40 m) and scene sizes and are provided in different packages: Staring SpotLight (basic, Interferometric pack, and Maritime pack) High Resolution SpotLight (basic, Interferometric pack, and Maritime pack) SpotLight (basic, Interferometric pack, and Maritime pack) StripMap (basic, Interferometric pack, and Maritime pack) ScanSAR (basic and Maritime pack) Wide ScanSAR (basic and Maritime pack) Product Overview: >> Product: SAR-ST \u2022 Instrument mode: Staring SpotLight \u2022 Available resolutions (up to): 0.25 m \u2022 Scene size: 4x3.7 km2 >> Product: SAR-HS \u2022 Instrument mode: High Resolution SpotLight \u2022 Available resolutions (up to): 1 m \u2022 Scene size: 10x5 km2 >> Product: SAR-SL \u2022 Instrument mode: SpotLight \u2022 Available resolutions (up to): 2 m \u2022 Scene size: 10x10 km2 >> Product: SAR-SM \u2022 Instrument mode: StripMap \u2022 Available resolutions (up to): 3 m \u2022 Scene size: 30x50 km2 (up to 30x1650) \u2022 Basic products (SAR-SM) are intended as the products delivered as a standard scene. The available processing levels are: SSC (Single Look Slant Range Complex) in DLR-defined COSAR binary format, MGD (Multi Look Ground Range Detected) in GeoTiff format, GEC (Geocoded Ellipsoid Corrected) in GeoTiff format, EEC (Enhanced Ellipsoid Corrected) in GeoTiff format. >> Product: SAR-SC \u2022 Instrument mode: ScanSAR \u2022 Available resolutions (up to): 18 m \u2022 Scene size: 100x150 km2 (up to 100x1650) >> Product: SAR-WS \u2022 Instrument mode: Wide ScanSAR \u2022 Available resolutions (up to): 40 m \u2022 Scene size: 270x200 km2 (up to 270x1500) >> Available processing levels: \u2022 SSC (Single Look Slant Range Complex): azimuth - slant range (time domain) \u2022 MGD (Multi Look Ground Range Detected): azimuth - ground range (without terrain correction) \u2022 GEC (Geocoded Ellipsoid Corrected): map geometry with ellipsoidal corrections only (no terrain correction performed) \u2022 EEC (Enhanced Ellipsoid Corrected): map geometry with terrain correction, using a DEM >> Format: \u2022 SSC: DLR-defined COSAR binary \u2022 MGD: GeoTiff \u2022 GEC: GeoTiff \u2022 EEC: GeoTiff >> Spatial coverage: Worldwide >> Interferometry package: \u2022 InSAR-ST, InSAR-HS, InSAR-SL, InSAR-SM \u2022 Only SSC \u2022 At least five ordered scenes within six months from first order \u2022 N/A for SAR-SC and SAR-WS >> Maritime Monitoring package: \u2022 MmSAR-ST, MmSAR-HS, MmSAR-SL, MmSAR-SM, MmSAR-SC, MmSAR-WS \u2022 Only SSC, MGD, GEC \u2022 At least 75% of the scene area is water \u2022 More than five ordered scenes in three months The following WorldDEM products can be requested: Product: WorldDEMcore Description: WorldDEMcore is output of interferometric processing of StripMap data pairs without any post-processing Product: WorldDEMTM Description: WorldDEMTM is produced based on WorldDEMcore, representing the surface of the Earth (including buildings, infrastructure and vegetation). Hydrological consistency is ensured Product: WorldDEM DTM Description: In additional editing steps, WorldDEMTMis transformed into a Digital Terrain Model (DTM) representing bare Earth elevation Product: WorldDEM Bundle Description: Includes WorldDEMTM, WorldDEM DTM, and Quality Layers The main specifications of the WorldDEM products are: - Horizontal Coordinate Reference System: World Geodetic System 1984 (WGS84-G1150) - Vertical Coordinate Reference System: Earth Gravitational Model 2008 (EGM2008) - Absolute Horizontal Accuracy: <6 m - Vertical Accuracy: 2 m Relative, 4 m Absolute - Quality Layers (including water body mask) can be requested as an option with the WorldDEM and WorldDEM DTM - Auxiliary Layers are delivered together with the WorldDEMcore product The products are available as part of the Airbus provision from TerraSAR-X and Tandem-X missions with worldwide coverage: the TerraSAR-X/TanDEM-X Catalogue (https://terrasar-x-archive.terrasar.com/) can be accessed to discover and check the basic product data readiness; using the WorldDEM database viewers (https://worlddem-database.terrasar.com/ ). All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability (https://earth.esa.int/eogateway/documents/20142/37627/TSX-TDX-Terms-Of-Applicability.pdf/265d10ac-6900-45de-8d31-ccfe3dd8d6e6) available in Resources section.",
"license": "proprietary"
},
{
@@ -182234,15 +182481,15 @@
"license": "proprietary"
},
{
- "id": "TropForest_NA",
- "title": "TropForest- ALOS, GEOSAT-1 & KOMPSAT-2 optical coverages over tropical forests",
+ "id": "TropForest_6.0",
+ "title": "TropForest- ALOS, GEOSAT-1 & KOMPSAT-2 optical coverages over tropical forests",
"catalog": "ESA STAC Catalog",
"state_date": "2009-01-27",
"end_date": "2011-08-09",
"bbox": "-100, -50, 160, 40",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1532648157-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1532648157-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/TropForest_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/TropForest_6.0",
"description": "The objective of the ESA TropForest project was to create a harmonised geo-database of ready-to-use satellite imagery to support 2010 global forest assessment performed by the Joint Research Centre (JRC) of the European Commission and by the Food and Agriculture Organization (FAO). Assessments for year 2010 were essential for building realistic deforestation benchmark rates at global to regional levels. To reach this objective, the project aimed to create a harmonised ortho-rectified/pre-processed imagery geo-database based on satellite data acquisitions (ALOS AVNIR-2, GEOSAT-1 SLIM6, KOMPSAT-2 MSC) performed during year 2009 and 2010, for the Tropical Latin America (excluding Mexico) and for the Tropical South and Southeast Asia (excluding China), resulting in 1971 sites located at 1 deg x 1 deg geographical lat/long intersections. The project finally delivered 1866 sites (94.7% of target) due to cloud coverages too high for missing sites",
"license": "proprietary"
},
@@ -198849,7 +199096,7 @@
},
{
"id": "VNP22C2_002",
- "title": "VIIRS/NPP Land Surface Phenology Yearly L3 Global 0.05 Deg CMG V002",
+ "title": "VIIRS/NPP Land Surface Phenology Yearly L3 Global 0.05Deg CMG V002",
"catalog": "LPCLOUD STAC Catalog",
"state_date": "2013-01-01",
"end_date": "",
@@ -200746,7 +200993,7 @@
"license": "proprietary"
},
{
- "id": "VT_GOCE_Data_NA",
+ "id": "VT_GOCE_Data_5.0",
"title": "VT GOCE Data",
"catalog": "ESA STAC Catalog",
"state_date": "2009-09-01",
@@ -200754,7 +201001,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336957-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336957-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/VT_GOCE_Data_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/VT_GOCE_Data_5.0",
"description": "This collection contains the VT GOCE software and associated data set needed to run the software that is used for GOCE data visualisation.",
"license": "proprietary"
},
@@ -200863,7 +201110,7 @@
"license": "proprietary"
},
{
- "id": "Vision-1.full.archive.and.tasking_NA",
+ "id": "Vision-1.full.archive.and.tasking_8.0",
"title": "Vision-1 full archive and tasking",
"catalog": "ESA STAC Catalog",
"state_date": "2019-02-24",
@@ -200871,8 +201118,8 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2547572330-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2547572330-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Vision-1.full.archive.and.tasking_NA",
- "description": "Vision-1 provides very high resolution optical products, with 87cm resolution in Panchromatic mode and 3.48m in Multispectral Mode. Products are in DIMAP format; the image is in GeoTiff format with 16 bit encoding; the applied geographical projection is WGS84 UTM Spectral band combination options: \u2022 Panchromatic (PAN): includes data contained within a single high resolution black and white band, with product pixel size of 0.87m \u2022 Multispectral (MS4): includes four multispectral (colour) bands: Blue, Green, Red and Near Infrared. The product pixel size is 3.48m. \u2022 Bundle (BUN): provides both the 4-band multispectral, and the panchromatic data from the same acquisition in a single, non-merged product. Data is provided as 16-bit GeoTiffs with pixel sizes of 3.48m and 0.87m for MS and PAN data respectively \u2022 Pansharpened (PSH): single higher resolution 0.87 colour product obtained by the combination of the visual coloured information of the multispectral data with the details provided in the panchromatic data Three different geometric processing levels are : \u2022 Projected (level 2): The product is mapped onto the Earth cartographic system using a standard reference datum and projection system at a constant terrestrial altitude, relative to the reference ellipsoid. By default, the map projection system is WGS84/UTM. The image is georeferenced without the application of a Digital Elevation Model (DEM) and supplied with the RPC model file. Pansharpened are not available as projected product \u2022 Standard Ortho (level 3): georeferenced image in Earth geometry, including the application of a Airbus World DEM for Ortho and GCPs (using Airbus Intelligence One Atlas BaseMap as reference). The orthorectification procedure eliminates the perspective effect on the ground (excluding buildings) to restore the geometry of a vertical shot. \u2022 Tailored Ortho (level 3): aside from the Standard Ortho product, when different specifications are needed, a custom on-demand orthorectification is performed, using projection, height and/or reference information provided by the client Only the basic radiometric processing is available providing the radiance value. https://earth.esa.int/eogateway/catalog/vision-1-full-archive-and-tasking",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/Vision-1.full.archive.and.tasking_8.0",
+ "description": "Vision-1 provides very high resolution optical products, with 87cm resolution in Panchromatic mode and 3.48m in Multispectral Mode. Products are in DIMAP format; the image is in GeoTiff format with 16 bit encoding; the applied geographical projection is WGS84 UTM. Spectral band combination options: Panchromatic (PAN): includes data contained within a single high resolution black and white band, with product pixel size of 0.87m Multispectral (MS4): includes four multispectral (colour) bands: Blue, Green, Red and Near Infrared. The product pixel size is 3.48m Bundle (BUN): provides both the 4-band multispectral, and the panchromatic data from the same acquisition in a single, non-merged product. Data is provided as 16-bit GeoTiffs with pixel sizes of 3.48m and 0.87m for MS and PAN data respectively Pansharpened (PSH): single higher resolution 0.87 colour product obtained by the combination of the visual coloured information of the multispectral data with the details provided in the panchromatic data. Two different geometric processing levels are: Projected (level 2): The product is mapped onto the Earth cartographic system using a standard reference datum and projection system at a constant terrestrial altitude, relative to the reference ellipsoid. By default, the map projection system is WGS84/UTM. The image is georeferenced without the application of a Digital Elevation Model (DEM) and supplied with the RPC model file. Pansharpened are not available as projected product Standard Ortho (level 3): georeferenced image in Earth geometry, including the application of a Airbus World DEM for Ortho and GCPs (using Airbus Intelligence One Atlas BaseMap as reference). The orthorectification procedure eliminates the perspective effect on the ground (excluding buildings) to restore the geometry of a vertical shot. Only the basic radiometric processing is available providing the radiance value. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided.",
"license": "proprietary"
},
{
@@ -201916,7 +202163,7 @@
"license": "proprietary"
},
{
- "id": "WorldView-1.full.archive.and.tasking_NA",
+ "id": "WorldView-1.full.archive.and.tasking_8.0",
"title": "WorldView-1 full archive and tasking",
"catalog": "ESA STAC Catalog",
"state_date": "2007-10-01",
@@ -201924,12 +202171,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336959-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336959-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/WorldView-1.full.archive.and.tasking_NA",
- "description": "WorldView-1 high resolution optical products are available as part of the Maxar Standard Satellite Imagery products from the QuickBird, WorldView-1/-2/-3/-4, and GeoEye-1 satellites. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. In particular, WorldView-1 offers archive and tasking panchromatic products up to 0.50m GSD resolution. \u2022 Panchromatic - Levels: STANDARD (2A) / VIEW READY STANDARD (OR2A), VIEW READY STEREO, MAP READY (ORTHO) 1:12.000 Orthorectified - Resolutions: 0.30 m, 0.40 m, 0.50 m. 0.60 m The list of available archived data can be retrieved using the Image Library (https://www.euspaceimaging.com/image-library/) catalogue.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/WorldView-1.full.archive.and.tasking_8.0",
+ "description": "WorldView-1 high resolution optical products are available as part of the Maxar Standard Satellite Imagery products from the QuickBird, WorldView-1/-2/-3/-4, and GeoEye-1 satellites. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. In particular, WorldView-1 offers archive and tasking panchromatic products up to 0.50 m GSD resolution. Band Combination\tData Processing Level\tResolution Panchromatic\tStandard(2A)/View Ready STANDARD (OR2A)\t50 cm, 30 cm HD View Ready Stereo\t50 cm Map-Ready (Ortho) 1:12.000 Orthorectified\t50 cm, 30 cm HD Native 50 cm resolution products are processed with MAXAR HD Technology to generate the 30 cm HD products: the initial special resolution (GSD) is unchanged but the HD technique increases the number of pixels and improves the visual clarity achieving aesthetically refined imagery with precise edges and well reconstructed details. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided.",
"license": "proprietary"
},
{
- "id": "WorldView-2.European.Cities_NA",
+ "id": "WorldView-2.European.Cities_10.0",
"title": "WorldView-2 European Cities",
"catalog": "ESA STAC Catalog",
"state_date": "2010-07-20",
@@ -201937,12 +202184,12 @@
"bbox": "-19, -26, 35, 66",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336961-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336961-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/WorldView-2.European.Cities_NA",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/WorldView-2.European.Cities_10.0",
"description": "ESA, in collaboration with European Space Imaging, has collected this WorldView-2 dataset covering the most populated areas in Europe at 40 cm resolution. The products have been acquired between July 2010 and July 2015.",
"license": "proprietary"
},
{
- "id": "WorldView-2.full.archive.and.tasking_NA",
+ "id": "WorldView-2.full.archive.and.tasking_8.0",
"title": "WorldView-2 full archive and tasking",
"catalog": "ESA STAC Catalog",
"state_date": "2009-11-01",
@@ -201950,12 +202197,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336963-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336963-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/WorldView-2.full.archive.and.tasking_NA",
- "description": "WorldView-2 high resolution optical products are available as part of the Maxar Standard Satellite Imagery products from the QuickBird, WorldView-1/-2/-3/-4, and GeoEye-1 satellites. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. In particular, WorldView-2 offers archive and tasking panchromatic products up to 0.46m GSD resolution, and 4-Bands/8-Bands Multispectral products up to 1.84m GSD resolution. \u2022 Panchromatic and 4-bands - Levels: STANDARD (2A) / VIEW READY STANDARD (OR2A), VIEW READY STEREO, MAP-READY (ORTHO) 1:12.000 Orthorectified - Resolutions: 0.30 m, 0.40 m, 0.50 m. 0.60 m \u2022 8-Bands - Levels: STANDARD (2A) / VIEW READY STANDARD (OR2A), VIEW READY STEREO, MAP-READY (ORTHO) 1:12.000 Orthorectified - Resolutions: 0.30 m, 0.40 m, 0.50 m. 0.60 m 4-Bands being an optional from: \u2022 4-Band Multispectral (BLUE, GREEN, RED, NIR1) \u2022 4-Band Pan-sharpened (BLUE, GREEN, RED, NIR1) \u2022 4-Band Bundle (PAN, BLUE, GREEN, RED, NIR1) \u2022 3-Bands Natural Colour (pan-sharpened BLUE, GREEN, RED) \u2022 3-Band Colored Infrared (pan-sharpened GREEN, RED, NIR1) 8-Bands being an optional from: \u2022 8-Band Multispectral (COASTAL, BLUE, GREEN, YELLOW, RED, RED EDGE, NIR1, NIR2) \u2022 8-Band Bundle (PAN, COASTAL, BLUE, GREEN, YELLOW, RED, RED EDGE, NIR1, NIR2) The list of available archived data can be retrieved using the Image Library (https://www.euspaceimaging.com/image-library/) catalogue.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/WorldView-2.full.archive.and.tasking_8.0",
+ "description": "WorldView-2 high resolution optical products are available as part of the Maxar Standard Satellite Imagery products from the QuickBird, WorldView-1/-2/-3/-4, and GeoEye-1 satellites. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. In particular, WorldView-2 offers archive and tasking panchromatic products up to 0.46 m GSD resolution, and 4-Bands/8-Bands Multispectral products up to 1.84 m GSD resolution. Band Combination\tData Processing Level\tResolution Panchromatic and 4-bands\tStandard (2A)/View Ready Standard (OR2A)\t15 cm HD, 30 cm HD, 30 cm, 40 cm, 50/60 cm View Ready Stereo\t30 cm, 40 cm, 50/60 cm Map-Ready (Ortho) 1:12.000 Orthorectified\t15 cm HD, 30 cm HD, 30 cm, 40 cm, 50/60 cm 8-bands\tStandard(2A)/View Ready Standard (OR2A)\t30 cm, 40 cm, 50/60 cm View Ready Stereo\t30 cm, 40 cm, 50/60 cm Map-Ready (Ortho) 1:12.000 Orthorectified\t30 cm, 40 cm, 50/60 cm 4-Bands being an optional from: 4-Band Multispectral (BLUE, GREEN, RED, NIR1) 4-Band Pan-sharpened (BLUE, GREEN, RED, NIR1) 4-Band Bundle (PAN, BLUE, GREEN, RED, NIR1) 3-Bands Natural Colour (pan-sharpened BLUE, GREEN, RED) 3-Band Colored Infrared (pan-sharpened GREEN, RED, NIR1). 8-Bands being an optional from: 8-Band Multispectral (COASTAL, BLUE, GREEN, YELLOW, RED, RED EDGE, NIR1, NIR2) 8-Band Bundle (PAN, COASTAL, BLUE, GREEN, YELLOW, RED, RED EDGE, NIR1, NIR2). Native 30 cm and 50/60 cm resolution products are processed with MAXAR HD Technology to generate respectively the 15 cm HD and 30 cm HD products: the initial special resolution (GSD) is unchanged but the HD technique increases the number of pixels, improves the visual clarity and allows to obtain an aesthetically refined imagery with precise edges and well reconstructed details. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided.",
"license": "proprietary"
},
{
- "id": "WorldView-3.full.archive.and.tasking_NA",
+ "id": "WorldView-3.full.archive.and.tasking_8.0",
"title": "WorldView-3 full archive and tasking",
"catalog": "ESA STAC Catalog",
"state_date": "2014-09-01",
@@ -201963,12 +202210,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336965-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336965-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/WorldView-3.full.archive.and.tasking_NA",
- "description": "WorldView-3 high resolution optical products are available as part of the Maxar Standard Satellite Imagery products from the QuickBird, WorldView-1/-2/-3/-4, and GeoEye-1 satellites. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. In particular, WorldView-3 offers archive and tasking panchromatic products up to 0.31m GSD resolution, 4-Bands/8-Bands products up to 1.24m GSD resolution, and SWIR products up to 3.70m GSD resolution. \u2022 High Res Optical: Panchromatic and 4-bands - Levels: STANDARD (2A) / VIEW READY STANDARD (OR2A), VIEW READY STEREO, MAP-READY (ORTHO) 1:12.000 Orthorectified - Resolutions: 0.30 m, 0.40 m, 0.50 m. 0.60 m \u2022 High Res Optical: 8-Bands - Levels: STANDARD (2A) / VIEW READY STANDARD (OR2A), VIEW READY STEREO, MAP-VIEW (ORTHO) 1:12.000 Orthorectified - Resolutions: 0.30 m, 0.40 m, 0.50 m. 0.60 m \u2022High Res Optical: SWIR - Levels: STANDARD (2A) / VIEW READY STANDARD (OR2A), MAP-VIEW (ORTHO) 1:12.000 Orthorectified - Resolutions: 7.5 m 4-Bands being an optional from: \u2022 4-Band Multispectral (BLUE, GREEN, RED, NIR1) \u2022 4-Band Pan-sharpened (BLUE, GREEN, RED, NIR1) \u2022 4-Band Bundle (PAN, BLUE, GREEN, RED, NIR1) \u2022 3-Bands Natural Colour (pan-sharpened BLUE, GREEN, RED) \u2022 3-Band Colored Infrared (pan-sharpened GREEN, RED, NIR1) 8-Bands being an optional from: \u2022 8-Band Multispectral (COASTAL, BLUE, GREEN, YELLOW, RED, RED EDGE, NIR1, NIR2) \u2022 8-Band Bundle (PAN, COASTAL, BLUE, GREEN, YELLOW, RED, RED EDGE, NIR1, NIR2) The list of available archived data can be retrieved using the Image Library (https://www.euspaceimaging.com/image-library/) catalogue.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/WorldView-3.full.archive.and.tasking_8.0",
+ "description": "WorldView-3 high resolution optical products are available as part of the Maxar Standard Satellite Imagery products from the QuickBird, WorldView-1/-2/-3/-4, and GeoEye-1 satellites. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. In particular, WorldView-3 offers archive and tasking panchromatic products up to 0.31m GSD resolution, 4-Bands/8-Bands products up to 1.24 m GSD resolution, and SWIR products up to 3.70 m GSD resolution. Band Combination\tData Processing Level\tResolution High Res Optical: Panchromatic and 4-bands\tStandard(2A)/View Ready Standard (OR2A)\t15 cm HD, 30 cm HD, 30 cm, 40 cm, 50/60 cm View Ready Stereo\t30 cm, 40 cm, 50/60 cm Map Ready (Ortho) 1:12.000 Orthorectified\t15 cm HD, 30 cm HD, 30 cm, 40 cm, 50/60 cm High Res Optical: 8-bands\tStandard(2A)/View Ready Standard (OR2A)\t30 cm, 40 cm, 50/60 cm View Ready Stereo\t30 cm, 40 cm, 50/60 cm Map Ready (Ortho) 1:12.000 Orthorectified\t30 cm, 40 cm, 50/60 cm High Res Optical: SWIR\tStandard(2A)/View Ready Standard (OR2A)\t3.7 m or 7.5 m (depending on the collection date) Map Ready (Ortho) 1:12.000 Orthorectified 4-Bands being an optional from: 4-Band Multispectral (BLUE, GREEN, RED, NIR1) 4-Band Pan-sharpened (BLUE, GREEN, RED, NIR1) 4-Band Bundle (PAN, BLUE, GREEN, RED, NIR1) 3-Bands Natural Colour (pan-sharpened BLUE, GREEN, RED) 3-Band Colored Infrared (pan-sharpened GREEN, RED, NIR1) 8-Bands being an optional from: 8-Band Multispectral (COASTAL, BLUE, GREEN, YELLOW, RED, RED EDGE, NIR1, NIR2) 8-Band Bundle (PAN, COASTAL, BLUE, GREEN, YELLOW, RED, RED EDGE, NIR1, NIR2) Native 30 cm and 50/60 cm resolution products are processed with MAXAR HD Technology to generate respectively the 15 cm HD and 30 cm HD products: the initial special resolution (GSD) is unchanged but the HD technique increases the number of pixels and improves the visual clarity achieving aesthetically refined imagery with precise edges and well reconstructed details. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided.",
"license": "proprietary"
},
{
- "id": "WorldView-4.full.archive_NA",
+ "id": "WorldView-4.full.archive_7.0",
"title": "WorldView-4 full archive",
"catalog": "ESA STAC Catalog",
"state_date": "2016-12-01",
@@ -201976,12 +202223,12 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2547572305-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2547572305-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/WorldView-4.full.archive_NA",
- "description": "WorldView-4 high resolution optical products are available as part of the Maxar Standard Satellite Imagery products from the QuickBird, WorldView-1/-2/-3/-4, and GeoEye-1 satellites. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. In particular, WorldView-4 offers archive panchromatic products up to 0.31m GSD resolution, and 4-Bands Multispectral products up to 1.24m GSD resolution Band Combination: Panchromatic and 4-bands Data Processing Level: STANDARD (2A) / VIEW READY STANDARD (OR2A), VIEW READY STEREO, MAP-READY (ORTHO) 1:12.000 Orthorectified Resolutions: 0.30 m, 0.40 m, 0.50 m. 0.60 m The options for 4-Bands are the following: \u2022 4-Band Multispectral (BLUE, GREEN, RED, NIR1) \u2022 4-Band Pan-sharpened (BLUE, GREEN, RED, NIR1) \u2022 4-Band Bundle (PAN, BLUE, GREEN, RED, NIR1) \u2022 3-Bands Natural Colour (pan-sharpened BLUE, GREEN, RED) \u2022 3-Band Colored Infrared (pan-sharpened GREEN, RED, NIR1) The list of available archived data can be retrieved using the Image Library (https://www.euspaceimaging.com/image-library/) catalogue.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/WorldView-4.full.archive_7.0",
+ "description": "WorldView-4 high resolution optical products are available as part of the Maxar Standard Satellite Imagery products from the QuickBird, WorldView-1/-2/-3/-4, and GeoEye-1 satellites. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. In particular, WorldView-4 offers archive panchromatic products up to 0.31m GSD resolution, and 4-Bands Multispectral products up to 1.24m GSD resolution Band Combination: Panchromatic and 4-bands Data Processing Level: STANDARD (2A) / VIEW READY STANDARD (OR2A), VIEW READY STEREO, MAP-READY (ORTHO) 1:12.000 Orthorectified Resolutions: 0.30 m, 0.40 m, 0.50 m. 0.60 m The options for 4-Bands are the following: \u2022 4-Band Multispectral (BLUE, GREEN, RED, NIR1) \u2022 4-Band Pan-sharpened (BLUE, GREEN, RED, NIR1) \u2022 4-Band Bundle (PAN, BLUE, GREEN, RED, NIR1) \u2022 3-Bands Natural Colour (pan-sharpened BLUE, GREEN, RED) \u2022 3-Band Colored Infrared (pan-sharpened GREEN, RED, NIR1) The list of available archived data can be retrieved using the Image Library (https://www.euspaceimaging.com/image-library/) catalogue.",
"license": "proprietary"
},
{
- "id": "WorldView.ESA.archive_NA",
+ "id": "WorldView.ESA.archive_9.0",
"title": "WorldView ESA archive",
"catalog": "ESA STAC Catalog",
"state_date": "2009-02-07",
@@ -201989,8 +202236,8 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689694-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2119689694-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/WorldView.ESA.archive_NA",
- "description": "The WorldView ESA archive is composed of products acquired by WorldView-1, -2, -3 and -4 satellites and requested by ESA supported projects over their areas of interest around the world. The dataset regularly grows as ESA gathers new products. Panchromatic, 4-Bands, 8-Bands and SWIR products are part of the offer, with the resolution at Nadir depicted in the table. The 4-Bands includes various options such as Multispectral (separate channel for BLUE, GREEN, RED, NIR1), Pan-sharpened (BLUE, GREEN, RED, NIR1), Bundle (separate bands for PAN, BLUE, GREEN, RED, NIR1), Natural Color (pan-sharpened BLUE, GREEN, RED), Colored Infrared (pan-sharpened GREEN, RED, NIR) The 8-Bands being an optional from Multispectral (COASTAL, BLUE, GREEN, YELLOW, RED, RED EDGE, NIR1, NIR2) and Bundle (PAN, COASTAL, BLUE, GREEN, YELLOW, RED, RED EDGE, NIR1, NIR2) The processing levels are: \u2022 STANDARD (2A): normalized for topographic relief \u2022 VIEW READY STANDARD (OR2A): ready for orthorectification (RPB files embedded) \u2022 VIEW READY STEREO: collected in-track for stereo viewing and manipulation (not available for SWIR) \u2022 MAP-READY (ORTHO) 1:12.000 Orthorectified: additional processing unnecessary",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/WorldView.ESA.archive_9.0",
+ "description": "The WorldView ESA archive is composed of products acquired by WorldView-1, -2, -3 and -4 satellites and requested by ESA supported projects over their areas of interest around the world Panchromatic, 4-Bands, 8-Bands and SWIR products are part of the offer, with the resolution at Nadir depicted in the table. Band Combination\tMission\tGSD Resolution at Nadir\tGSD Resolution (20\u00b0 off nadir) Panchromatic\tWV-1\t50 cm\t55 cm WV-2\t46 cm\t52 cm WV-3\t31 cm\t34 cm WV-4\t31 cm\t34 cm 4-Bands\tWV-2\t1.84 m\t2.4 m WV-3\t1.24 m\t1.38 m WV-4\t1.24 m\t1.38 m 8-Bands\tWV-2\t1.84 m\t2.4 m WV-3\t1.24 m\t1.38 m SWIR\tWV-3\t3.70 m\t4.10 m The 4-Bands includes various options such as Multispectral (separate channel for Blue, Green, Red, NIR1), Pan-sharpened (Blue, Green, Red, NIR1), Bundle (separate bands for PAN, Blue, Green, Red, NIR1), Natural Colour (pan-sharpened Blue, Green, Red), Coloured Infrared (pan-sharpened Green, Red, NIR). The 8-Bands being an option from Multispectral (COASTAL, Blue, Green, Yellow, Red, Red EDGE, NIR1, NIR2) and Bundle (PAN, COASTAL, Blue, Green, Yellow, Red, Red EDGE, NIR1, NIR2). The processing levels are: Standard (2A): normalised for topographic relief View Ready Standard: ready for orthorectification (RPB files embedded) View Ready Stereo: collected in-track for stereo viewing and manipulation (not available for SWIR) Map Scale (Ortho) 1:12,000 Orthorectified: additional processing unnecessary Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/smcat/WorldView/ available on the Third Party Missions Dissemination Service. The following table summarises the offered product types EO-SIP Product Type\tBand Combination\tProcessing Level\tMissions WV6_PAN_2A\tPanchromatic (PAN)\tStandard/View Ready Standard\tWorldView-1 and 4 WV6_PAN_OR\tPanchromatic (PAN)\tView Ready Stereo\tWorldView-1 and 4 WV6_PAN_MP\tPanchromatic (PAN)\tMap Scale Ortho\tWorldView-1 and 4 WV1_PAN__2A\tPanchromatic (PAN)\tStandard/View Ready Standard\tWorldView-2 and 3 WV1_PAN__OR\tPanchromatic (PAN)\tView Ready Stereo\tWorldView-2 and 3 WV1_PAN__MP\tPanchromatic (PAN)\tMap Scale Ortho\tWorldView-2 and 3 WV1_4B__2A\t4-Band (4B)\tStandard/View Ready Standard\tWorldView-2, 3 and 4 WV1_4B__OR\t4-Band (4B)\tView Ready Stereo\tWorldView-2, 3 and 4 WV1_4B__MP\t4-Band (4B)\tMap Scale Ortho\tWorldView-2, 3 and 4 WV1_8B_2A\t8-Band (8B)\tStandard/View Ready Standard\tWorldView-2 and 3 WV1_8B_OR\t8-Band (8B)\tView Ready Stereo\tWorldView-2 and 3 WV1_8B_MP\t8-Band (8B)\tMap Scale Ortho\tWorldView-2 and 3 WV1_S8B__2A\tSWIR\tStandard/View Ready Standard\tWorldView-3 WV1_S8B__MP\tSWIR\tMap Scale Ortho\tWorldView-3 As per ESA policy, very high-resolution imagery of conflict areas cannot be provided.",
"license": "proprietary"
},
{
@@ -203502,7 +203749,7 @@
"license": "proprietary"
},
{
- "id": "alos-prism-l1c_NA",
+ "id": "alos-prism-l1c_8.0",
"title": "ALOS PRISM L1C",
"catalog": "ESA STAC Catalog",
"state_date": "2006-08-01",
@@ -203510,8 +203757,21 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2619280661-ESA.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2619280661-ESA.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/alos-prism-l1c_NA",
- "description": "This collection provides access to the ALOS-1 PRISM (Panchromatic Remote-sensing Instrument for Stereo Mapping) OB1 L1C data acquired by ESA stations (Kiruna, Maspalomas, Matera, Tromsoe) in the _$$ADEN zone$$ https://earth.esa.int/eogateway/documents/20142/37627/Information-on-ALOS-AVNIR-2-PRISM-Products-for-ADEN-users.pdf , in addition to worldwide data requested by European scientists. The ADEN zone was the area belonging to the European Data node and covered both the European and African continents, a large part of Greenland and the Middle East. The full mission archive is included in this collection, though with gaps in spatial coverage outside of the; with respect to the L1B collection, only scenes acquired in sensor mode, with Cloud Coverage score lower than 70% and a sea percentage lower than 80% are published: \u2022\tTime window: from 2006-08-01 to 2011-03-31 \u2022\tOrbits: from 2768 to 27604 \u2022\tPath (corresponds to JAXA track number): from 1 to 665 \u2022\tRow (corresponds to JAXA scene centre frame number): from 310 to 6790. The L1C processing strongly improve accuracy compared to L1B1 from several tenths of meters in L1B1 (~40 m of northing geolocation error for Forward views and ~10-20 m for easting errors) to some meters in L1C scenes (< 10 m both in north and easting errors). The collection is composed by only PSM_OB1_1C EO-SIP product type, with PRISM sensor operating in OB1 mode and having the three views (Nadir, Forward and Backward) at 35km width. The most part of the products contains all the three views, but the Nadir view is always available and is used for the frame number identification. All views are packaged together; each view, in CEOS format, is stored in a directory named according to the JAXA view ID naming convention.",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/alos-prism-l1c_8.0",
+ "description": "This collection provides access to the ALOS-1 PRISM (Panchromatic Remote-sensing Instrument for Stereo Mapping) OB1 L1C data acquired by ESA stations (Kiruna, Maspalomas, Matera, Tromsoe) in the _$$ADEN zone$$ https://earth.esa.int/eogateway/documents/20142/37627/Information-on-ALOS-AVNIR-2-PRISM-Products-for-ADEN-users.pdf , in addition to worldwide data requested by European scientists. The ADEN zone was the area belonging to the European Data node and covered both the European and African continents, a large part of Greenland and the Middle East. The full mission archive is included in this collection, though with gaps in spatial coverage outside of the; with respect to the L1B collection, only scenes acquired in sensor mode, with Cloud Coverage score lower than 70% and a sea percentage lower than 80% are published: \u2022\tTime window: from 2006-08-01 to 2011-03-31 \u2022\tOrbits: from 2768 to 27604 \u2022\tPath (corresponds to JAXA track number): from 1 to 665 \u2022\tRow (corresponds to JAXA scene centre frame number): from 310 to 6790. The L1C processing strongly improve accuracy compared to L1B1 from several tenths of meters in L1B1 (~40 m of northing geolocation error for Forward views and ~10-20 m for easting errors) to some meters in L1C scenes (< 10 m both in north and easting errors). The collection is composed by only PSM_OB1_1C EO-SIP product type, with PRISM sensor operating in OB1 mode and having the three views (Nadir, Forward and Backward) at 35km width. The most part of the products contains all the three views, but the Nadir view is always available and is used for the frame number identification. All views are packaged together; each view, in CEOS format, is stored in a directory named according to the JAXA view ID naming convention.",
+ "license": "proprietary"
+ },
+ {
+ "id": "alos.prism.l1c.european.coverage.cloud.free_12.0",
+ "title": "ALOS PRISM L1C European Coverage Cloud Free",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "2007-03-26",
+ "end_date": "2011-03-31",
+ "bbox": "-25, 27, 46, 72",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394222-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394222-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/alos.prism.l1c.european.coverage.cloud.free_12.0",
+ "description": "This collection is composed of a subset of ALOS-1 PRISM (Panchromatic Remote-sensing Instrument for Stereo Mapping) OB1 L1C products from the _$$ALOS PRISM L1C collection$$ https://earth.esa.int/eogateway/catalog/alos-prism-l1c (DOI: 10.57780/AL1-ff3877f) which have been chosen so as to provide a cloud-free coverage over Europe. 70% of the scenes contained within the collection have a cloud cover percentage of 0%, while the remaining 30% of the scenes have a cloud cover percentage of no more than 20%. The collection is composed of PSM_OB1_1C EO-SIP products, with the PRISM sensor operating in OB1 mode with three views (Nadir, Forward and Backward) at 35 km width.",
"license": "proprietary"
},
{
@@ -235884,6 +236144,19 @@
"description": "The KOKX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign.",
"license": "proprietary"
},
+ {
+ "id": "kompsat.1.coverage.of.50.european.cities_10.0",
+ "title": "KOMPSAT-1 Coverage of 50 European Cities",
+ "catalog": "ESA STAC Catalog",
+ "state_date": "2000-03-06",
+ "end_date": "2004-08-06",
+ "bbox": "-19, -26, 35, 66",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394131-ESA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3325394131-ESA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/kompsat.1.coverage.of.50.european.cities_10.0",
+ "description": "Available as a single coverage collection of data over 50 European Cities acquired by KOMPSAT-1\u2019s Electro-Optical Camera (EOC) geolocated and orthorectified. The dataset is composed by PAN imagery at 6.6 m GSD, in GeoTIFF orthorectified format.",
+ "license": "proprietary"
+ },
{
"id": "kpbzimpacts_1",
"title": "KPBZ NEXRAD IMPACTS V1",
diff --git a/nasa_cmr_catalog.tsv b/nasa_cmr_catalog.tsv
index 2f3840a..92f030b 100644
--- a/nasa_cmr_catalog.tsv
+++ b/nasa_cmr_catalog.tsv
@@ -1201,7 +1201,7 @@ ACTIVATE_Miscellaneous_Data_1 ACTIVATE Miscellaneous and Ancillary Data LARC_ASD
ACTIVATE_Model_Data_1 ACTIVATE Supplementary Model Data LARC_ASDC STAC Catalog 2020-02-14 2022-06-30 -85, 25, -58.5, 50 https://cmr.earthdata.nasa.gov/search/concepts/C2163554174-LARC_ASDC.umm_json ACTIVATE_Model_Data is the MERRA-2 variables sampled along the HU-25 flight tracks during the ACTIVATE project. ACTIVATE was a 5-year NASA Earth-Venture Sub-Orbital (EVS-3) field campaign. Marine boundary layer clouds play a critical role in Earth’s energy balance and water cycle. These clouds cover more than 45% of the ocean surface and exert a net cooling effect. The Aerosol Cloud meTeorology Interactions oVer the western Atlantic Experiment (ACTIVATE) project was a five-year project that provides important globally-relevant data about changes in marine boundary layer cloud systems, atmospheric aerosols and multiple feedbacks that warm or cool the climate. ACTIVATE studied the atmosphere over the western North Atlantic and sampled its broad range of aerosol, cloud and meteorological conditions using two aircraft, the UC-12 King Air and HU-25 Falcon. The UC-12 King Air was primarily used for remote sensing measurements while the HU-25 Falcon will contain a comprehensive instrument payload for detailed in-situ measurements of aerosol, cloud properties, and atmospheric state. A few trace gas measurements were also onboard the HU-25 Falcon for the measurements of pollution traces, which will contribute to airmass classification analysis. A total of 150 coordinated flights over the western North Atlantic occurred through 6 deployments from 2020-2022. The ACTIVATE science observing strategy intensively targets the shallow cumulus cloud regime and aims to collect sufficient statistics over a broad range of aerosol and weather conditions which enables robust characterization of aerosol-cloud-meteorology interactions. This strategy was implemented by two nominal flight patterns: Statistical Survey and Process Study. The statistical survey pattern involves close coordination between the remote sensing and in-situ aircraft to conduct near coincident sampling at and below cloud base as well as above and within cloud top. The process study pattern involves extensive vertical profiling to characterize the target cloud and surrounding aerosol and meteorological conditions. proprietary
ACTIVATE_TraceGas_AircraftInSitu_Falcon_Data_1 ACTIVATE Falcon In Situ Trace Gas Data LARC_ASDC STAC Catalog 2020-02-14 2022-06-30 -85, 25, -58.5, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1994460919-LARC_ASDC.umm_json ACTIVATE_TraceGas_AircraftInSitu_Falcon_Data is the trace gas data collected onboard the HU-25 Falcon aircraft via in-situ instrumentation during the ACTIVATE project. ACTIVATE was a 5-year NASA Earth-Venture Sub-Orbital (EVS-3) field campaign. Marine boundary layer clouds play a critical role in Earth’s energy balance and water cycle. These clouds cover more than 45% of the ocean surface and exert a net cooling effect. The Aerosol Cloud meTeorology Interactions oVer the western Atlantic Experiment (ACTIVATE) project was a five-year project that provides important globally-relevant data about changes in marine boundary layer cloud systems, atmospheric aerosols and multiple feedbacks that warm or cool the climate. ACTIVATE studied the atmosphere over the western North Atlantic and sampled its broad range of aerosol, cloud and meteorological conditions using two aircraft, the UC-12 King Air and HU-25 Falcon. The UC-12 King Air was primarily used for remote sensing measurements while the HU-25 Falcon will contain a comprehensive instrument payload for detailed in-situ measurements of aerosol, cloud properties, and atmospheric state. A few trace gas measurements were also onboard the HU-25 Falcon for the measurements of pollution traces, which will contribute to airmass classification analysis. A total of 150 coordinated flights over the western North Atlantic occurred through 6 deployments from 2020-2022. The ACTIVATE science observing strategy intensively targets the shallow cumulus cloud regime and aims to collect sufficient statistics over a broad range of aerosol and weather conditions which enables robust characterization of aerosol-cloud-meteorology interactions. This strategy was implemented by two nominal flight patterns: Statistical Survey and Process Study. The statistical survey pattern involves close coordination between the remote sensing and in-situ aircraft to conduct near coincident sampling at and below cloud base as well as above and within cloud top. The process study pattern involves extensive vertical profiling to characterize the target cloud and surrounding aerosol and meteorological conditions. proprietary
ACT_CASA_Ensemble_Prior_Fluxes_1675_1.1 ACT-America: Gridded Ensembles of Surface Biogenic Carbon Fluxes, 2003-2019 ORNL_CLOUD STAC Catalog 2003-01-01 2019-12-31 -176, 0.5, -24.5, 70.5 https://cmr.earthdata.nasa.gov/search/concepts/C2705715010-ORNL_CLOUD.umm_json This data set provides gridded, model-derived gross primary productivity (GPP), ecosystem respiration (RECO), and net ecosystem exchange (NEE) of CO2 biogenic fluxes and their uncertainties at monthly and 3-hourly time scales over 2003-2019 on a 463-m spatial resolution grid for the conterminous United States (CONUS) and on both 5-km and half-degree spatial resolution grids for North America (NA). The biogeochemical model Carnegie Ames Stanford Approach (CASA) was used. proprietary
-ADAM.Surface.Reflectance.Database_NA ADAM Surface Reflectance Database v4.0 ESA STAC Catalog 2005-01-01 2005-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336812-ESA.umm_json ADAM enables generating typical monthly variations of the global Earth surface reflectance at 0.1° spatial resolution (Plate Carree projection) and over the spectral range 240-4000nm. The ADAM product is made of gridded monthly mean climatologies over land and ocean surfaces, and of a companion API toolkit that enables the calculation of hyperspectral (at 1 nm resolution over the whole 240-4000 nm spectral range) and multidirectional reflectances (i.e. in any illumination/viewing geometry) depending on user choices. The ADAM climatologies that feed the ADAM calculation tools are: For ocean: monthly chlorophyll concentration derived from SeaWiFS-OrbView-2 (1999-2009); it is used to compute the water column reflectance (which shows large spectral variations in the visible, but is insignificant in the near and mid infrared). monthly wind speed derived from SeaWinds-QuikSCAT-(1999-2009); it is used to calculate the ocean glint reflectance. For land: monthly normalized surface reflectances in the 7 MODIS narrow spectral bands derived from FondsdeSol processing chain of MOD09A1 products (derived from Aqua and Terra observations), on which relies the modelling of the hyperspectral/multidirectional surface (soil/vegetation/snow) reflectance. uncertainty variance-covariance matrix for the 7 spectral bands associated to the normalized surface reflectance. For sea-ice: Sea ice pixels (masked in the original MOD09A1 products) have been accounted for by a gap-filling approach relying on the spatial-temporal distribution of sea ice coverage provided by the CryoClim climatology for year 2005. proprietary
+ADAM.Surface.Reflectance.Database_3.0 ADAM Surface Reflectance Database v4.0 ESA STAC Catalog 2005-01-01 2005-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336812-ESA.umm_json ADAM enables generating typical monthly variations of the global Earth surface reflectance at 0.1° spatial resolution (Plate Carree projection) and over the spectral range 240-4000nm. The ADAM product is made of gridded monthly mean climatologies over land and ocean surfaces, and of a companion API toolkit that enables the calculation of hyperspectral (at 1 nm resolution over the whole 240-4000 nm spectral range) and multidirectional reflectances (i.e. in any illumination/viewing geometry) depending on user choices. The ADAM climatologies that feed the ADAM calculation tools are: For ocean: monthly chlorophyll concentration derived from SeaWiFS-OrbView-2 (1999-2009); it is used to compute the water column reflectance (which shows large spectral variations in the visible, but is insignificant in the near and mid infrared). monthly wind speed derived from SeaWinds-QuikSCAT-(1999-2009); it is used to calculate the ocean glint reflectance. For land: monthly normalized surface reflectances in the 7 MODIS narrow spectral bands derived from FondsdeSol processing chain of MOD09A1 products (derived from Aqua and Terra observations), on which relies the modelling of the hyperspectral/multidirectional surface (soil/vegetation/snow) reflectance. uncertainty variance-covariance matrix for the 7 spectral bands associated to the normalized surface reflectance. For sea-ice: Sea ice pixels (masked in the original MOD09A1 products) have been accounted for by a gap-filling approach relying on the spatial-temporal distribution of sea ice coverage provided by the CryoClim climatology for year 2005. proprietary
ADBEX_III_density_1 ADBEX III Water Density Results AU_AADC STAC Catalog 1985-10-09 1985-11-09 49, -66, 70, -55 https://cmr.earthdata.nasa.gov/search/concepts/C1214305676-AU_AADC.umm_json During the ADBEX III voyage, many samples were taken of the sea ice and snow. These samples were analysed to determine water density, with the results recorded in a physical note book that is archived at the Australian Antarctic Division. Logbook(s): - Glaciology ADBEX III Water Density Results - Glaciology ADBEX III Oxygen Isotope Sample Record proprietary
ADBEX_III_ice_floe_1 ADBEX III Ice Floe Measurements and Observations AU_AADC STAC Catalog 1985-10-10 1985-11-20 49, -66, 70, -55 https://cmr.earthdata.nasa.gov/search/concepts/C1214305677-AU_AADC.umm_json "During the ADBEX III voyage, a number of core samples, observations and measurements were taken on the ice surrounding the ship. Records of the snow/ice conditions around the ""station"" where each set of observations were made, notes on the cores taken, and several ice temperature readings, were all recorded in log books. Logbooks are archived at the Australian Antarctic Division. Logbook(s): Glaciology ADBEX III Ice Floe Field Notes" proprietary
ADBEX_III_oxygen_isotope_1 ADBEX III Oxygen Isotope Results For Snow And Sea Ice Sampling AU_AADC STAC Catalog 1985-10-09 1985-12-15 40, -66, 70, -55 https://cmr.earthdata.nasa.gov/search/concepts/C1214305678-AU_AADC.umm_json During the ADBEX III voyage, 254 samples of sea ice and snow drift on sea ice was collected. Careful notes on the date and location of the samples was kept. The samples were then analysed to determine the level of oxygen isotopes present. The results were noted in log books, archived at the Australian Antarctic Division. Logbook(s): - Glaciology ADBEX III Oxygen Isotope Sample Record - Glaciology ADBEX III Oxygen Isotope Results proprietary
@@ -1473,8 +1473,8 @@ AERDT_L2_VIIRS_NOAA20_NRT_2 VIIRS/NOAA-20 Dark Target Aerosol L2 6-Min Swath (v2
AERDT_L2_VIIRS_SNPP_2 VIIRS/SNPP Dark Target Aerosol L2 6-Min Swath 6 km V2 LAADS STAC Catalog 2012-03-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2771506686-LAADS.umm_json The VIIRS/SNPP Dark Target Aerosol L2 6-Min Swath 6 km product provides satellite-derived measurements of Aerosol Optical Thickness (AOT) and their properties over land and ocean, and spectral AOT and their size parameters over oceans every 6 minutes, globally. The Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) incarnation of the dark target (DT) aerosol product is based on the same DT algorithm that was developed and used to derive products from the Terra and Aqua mission’s MODIS instruments. Two separate and distinct DT algorithms exist. One helps retrieve aerosol information over ocean (dark in visible and longer wavelengths), while the second aids retrievals over vegetated/dark-soiled land (dark in the visible). This orbit-level product (Short-name: AERDT_L2_VIIRS_SNPP) has an at-nadir resolution of 6 km x 6 km, and progressively increases away from nadir given the sensor's scanning geometry and Earth's curvature. Viewed differently, this product's resolution accommodates 8 x 8 native VIIRS moderate-resolution (M-band) pixels that nominally have ~750 m horizontal pixel size. Hence, the Level-2 Dark Target Aerosol Optical Thickness data product incorporates 64 (750 m) pixels over a 6-minute acquisition. Version 2.0 constitutes the latest collection of the L2 Dark Target Aerosol product and contains improvements over its previous collection (v1.1). For more information consult LAADS product description page at: https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/AERDT_L2_VIIRS_SNPP Or, Dark Target aerosol team Page at: https://darktarget.gsfc.nasa.gov/ proprietary
AERDT_L2_VIIRS_SNPP_NRT_1.1 VIIRS/SNPP Dark Target Aerosol L2 6-Min Swath ASIPS STAC Catalog 2020-06-09 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1976333380-ASIPS.umm_json The Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) NASA standard Level-2 (L2) dark target (DT) aerosol product provides satellite-derived measurements of Aerosol Optical Thickness (AOT) and their properties over land and ocean, and spectral AOT and their size parameters over oceans every 6 minutes, globally. The VIIRS incarnation of the DT aerosol product is based on the same DT algorithm that was developed and used to derive products from the Terra and Aqua mission’s MODIS instruments. Two separate and distinct DT algorithms exist. One helps retrieve aerosol information over ocean (dark in visible and longer wavelengths), while the second aids retrievals over vegetated/dark-soiled land (dark in the visible). proprietary
AERDT_L2_VIIRS_SNPP_NRT_2 VIIRS/SNPP Dark Target Aerosol L2 6-Min Swath (v2.0) ASIPS STAC Catalog 2023-11-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2812412751-ASIPS.umm_json The Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) NASA standard Level-2 (L2) dark target (DT) aerosol product provides satellite-derived measurements of Aerosol Optical Thickness (AOT) and their properties over land and ocean, and spectral AOT and their size parameters over oceans every 6 minutes, globally. The VIIRS incarnation of the DT aerosol product is based on the same DT algorithm that was developed and used to derive products from the Terra and Aqua mission’s MODIS instruments. Two separate and distinct DT algorithms exist. One helps retrieve aerosol information over ocean (dark in visible and longer wavelengths), while the second aids retrievals over vegetated/dark-soiled land (dark in the visible). This orbit-level product (Short-name: AERDT_L2_VIIRS_SNPP_NRT) has an at-nadir resolution of 6 km x 6 km, and progressively increases away from nadir given the sensor's scanning geometry and Earth's curvature. Viewed differently, this product's resolution accommodates 8 x 8 native VIIRS moderate-resolution (M-band) pixels that nominally have ~750 m horizontal pixel size. Hence, the Level-2 Dark Target Aerosol Optical Thickness data product incorporates 64 (750 m) pixels over a 6-minute acquisition. Version 2.0 constitutes the latest collection of the L2 Dark Target Aerosol product and contains improvements over its previous collection (v1.1). proprietary
-AERIALDIGI Aircraft Scanners USGS_LTA STAC Catalog 1987-10-06 -180, 24, -60, 72 https://cmr.earthdata.nasa.gov/search/concepts/C1220566211-USGS_LTA.umm_json The National Aeronautics and Space Administration (NASA) Aircraft Scanners data set contains digital imagery acquired from several multispectral scanners, including Daedalus thematic mapper simulator scanners and the thermal infrared multispectral scanner. Data are collected from selected areas over the conterminous United States, Alaska, and Hawaii by NASA ER-2 and NASA C-130B aircraft, operating from the NASA Ames Research Center in Moffett Field, California, and by NASA Learjet aircraft, operating from Stennis Space Center in Bay St. Louis, Mississippi. Limited international acquisitions also are available. In cooperation with the Jet Propulsion Laboratory and Daedalus Enterprises,Inc., NASA developed several multispectral sensors. The data acquired from these sensors supports NASA's Airborne Science and Applications Program and have been identified as precursors to the instruments scheduled to fly on Earth Observing System platforms. THEMATIC MAPPER SIMULATOR The Thematic Mapper Simulator (TMS) sensor is a line scanning device designed for a variety of Earth science applications. Flown aboard NASA ER-2 aircraft, the TMS sensor has a nominal Instantaneous Field of View of 1.25 milliradians with a ground resolution of 81 feet (25 meters) at 65,000 feet. The TMS sensor scans at a rate of 12.5 scans per second with 716 pixels per scan line. Swath width is 8.3 nautical miles (15.4 kilometers) at 65,000 feet while the scanner's Field of View is 42.5 degrees. NS-001 MULTISPECTRAL SCANNER The NS-001multispectral scanner is a line scanning device designed to simulate Landsat thematic mapper (TM) sensor performance, including a near infrared/short-wave infrared band used in applications similar to those of the TM sensor (e.g., Earth resources mapping, vegetation/land cover mapping, geologic studies). Flown aboard NASA C-130B aircraft, the NS-001 sensor has a nominal Instantaneous Field of View of 2.5 milliradians with a ground resolution of 25 feet (7.6 meters) at 10,000 feet. The sensor has a variable scan rate (10 to 100 scans per second) with 699 pixels per scan line, but the available motor drive supply restricts the maximum stable scan speed to approximately 85 revolutions per second. A scan rate of 100 revolutions per second is possible, but not probable, for short scan lines; therefore, a combination of factors, including aircraft flight requirements and maximum scan speed, prevent scanner operation below 1,500 feet. Swath width is 3.9 nautical miles (7.26 kilometers) at 10,000 feet, and the total scan angle or field of regard for the sensor is 100 degrees, plus or minus 15 degrees for roll compensation. THERMAL INFRARED MULTISPECTRAL SCANNER The Thermal Infrared Multispectral Scanner (TIMS) sensor is a line scanning device originally designed for geologic applications. Flown aboard NASA C-130B, NASA ER-2, and NASA Learjet aircraft, the TIMS sensor has a nominal Instantaneous Field of View of 2.5 milliradians with a ground resolution of 25 feet (7.6 meters) at 10,000 feet. The sensor has a selectable scan rate (7.3, 8.7, 12, or 25 scans per second) with 698 pixels per scan line. Swath width is 2.6 nautical miles (4.8 kilometers) at 10,000 feet while the scanner's Field of View is 76.56 degrees. proprietary
AERIALDIGI Aircraft Scanners - AERIALDIGI CEOS_EXTRA STAC Catalog 1987-10-06 -180, 24, -60, 72 https://cmr.earthdata.nasa.gov/search/concepts/C2231548706-CEOS_EXTRA.umm_json The National Aeronautics and Space Administration (NASA) Aircraft Scanners data set contains digital imagery acquired from several multispectral scanners, including Daedalus thematic mapper simulator scanners and the thermal infrared multispectral scanner. Data are collected from selected areas over the conterminous United States, Alaska, and Hawaii by NASA ER-2 and NASA C-130B aircraft, operating from the NASA Ames Research Center in Moffett Field, California, and by NASA Learjet aircraft, operating from Stennis Space Center in Bay St. Louis, Mississippi. Limited international acquisitions also are available. In cooperation with the Jet Propulsion Laboratory and Daedalus Enterprises,Inc., NASA developed several multispectral sensors. The data acquired from these sensors supports NASA's Airborne Science and Applications Program and have been identified as precursors to the instruments scheduled to fly on Earth Observing System platforms. THEMATIC MAPPER SIMULATOR The Thematic Mapper Simulator (TMS) sensor is a line scanning device designed for a variety of Earth science applications. Flown aboard NASA ER-2 aircraft, the TMS sensor has a nominal Instantaneous Field of View of 1.25 milliradians with a ground resolution of 81 feet (25 meters) at 65,000 feet. The TMS sensor scans at a rate of 12.5 scans per second with 716 pixels per scan line. Swath width is 8.3 nautical miles (15.4 kilometers) at 65,000 feet while the scanner's Field of View is 42.5 degrees. NS-001 MULTISPECTRAL SCANNER The NS-001multispectral scanner is a line scanning device designed to simulate Landsat thematic mapper (TM) sensor performance, including a near infrared/short-wave infrared band used in applications similar to those of the TM sensor (e.g., Earth resources mapping, vegetation/land cover mapping, geologic studies). Flown aboard NASA C-130B aircraft, the NS-001 sensor has a nominal Instantaneous Field of View of 2.5 milliradians with a ground resolution of 25 feet (7.6 meters) at 10,000 feet. The sensor has a variable scan rate (10 to 100 scans per second) with 699 pixels per scan line, but the available motor drive supply restricts the maximum stable scan speed to approximately 85 revolutions per second. A scan rate of 100 revolutions per second is possible, but not probable, for short scan lines; therefore, a combination of factors, including aircraft flight requirements and maximum scan speed, prevent scanner operation below 1,500 feet. Swath width is 3.9 nautical miles (7.26 kilometers) at 10,000 feet, and the total scan angle or field of regard for the sensor is 100 degrees, plus or minus 15 degrees for roll compensation. THERMAL INFRARED MULTISPECTRAL SCANNER The Thermal Infrared Multispectral Scanner (TIMS) sensor is a line scanning device originally designed for geologic applications. Flown aboard NASA C-130B, NASA ER-2, and NASA Learjet aircraft, the TIMS sensor has a nominal Instantaneous Field of View of 2.5 milliradians with a ground resolution of 25 feet (7.6 meters) at 10,000 feet. The sensor has a selectable scan rate (7.3, 8.7, 12, or 25 scans per second) with 698 pixels per scan line. Swath width is 2.6 nautical miles (4.8 kilometers) at 10,000 feet while the scanner's Field of View is 76.56 degrees. proprietary
+AERIALDIGI Aircraft Scanners USGS_LTA STAC Catalog 1987-10-06 -180, 24, -60, 72 https://cmr.earthdata.nasa.gov/search/concepts/C1220566211-USGS_LTA.umm_json The National Aeronautics and Space Administration (NASA) Aircraft Scanners data set contains digital imagery acquired from several multispectral scanners, including Daedalus thematic mapper simulator scanners and the thermal infrared multispectral scanner. Data are collected from selected areas over the conterminous United States, Alaska, and Hawaii by NASA ER-2 and NASA C-130B aircraft, operating from the NASA Ames Research Center in Moffett Field, California, and by NASA Learjet aircraft, operating from Stennis Space Center in Bay St. Louis, Mississippi. Limited international acquisitions also are available. In cooperation with the Jet Propulsion Laboratory and Daedalus Enterprises,Inc., NASA developed several multispectral sensors. The data acquired from these sensors supports NASA's Airborne Science and Applications Program and have been identified as precursors to the instruments scheduled to fly on Earth Observing System platforms. THEMATIC MAPPER SIMULATOR The Thematic Mapper Simulator (TMS) sensor is a line scanning device designed for a variety of Earth science applications. Flown aboard NASA ER-2 aircraft, the TMS sensor has a nominal Instantaneous Field of View of 1.25 milliradians with a ground resolution of 81 feet (25 meters) at 65,000 feet. The TMS sensor scans at a rate of 12.5 scans per second with 716 pixels per scan line. Swath width is 8.3 nautical miles (15.4 kilometers) at 65,000 feet while the scanner's Field of View is 42.5 degrees. NS-001 MULTISPECTRAL SCANNER The NS-001multispectral scanner is a line scanning device designed to simulate Landsat thematic mapper (TM) sensor performance, including a near infrared/short-wave infrared band used in applications similar to those of the TM sensor (e.g., Earth resources mapping, vegetation/land cover mapping, geologic studies). Flown aboard NASA C-130B aircraft, the NS-001 sensor has a nominal Instantaneous Field of View of 2.5 milliradians with a ground resolution of 25 feet (7.6 meters) at 10,000 feet. The sensor has a variable scan rate (10 to 100 scans per second) with 699 pixels per scan line, but the available motor drive supply restricts the maximum stable scan speed to approximately 85 revolutions per second. A scan rate of 100 revolutions per second is possible, but not probable, for short scan lines; therefore, a combination of factors, including aircraft flight requirements and maximum scan speed, prevent scanner operation below 1,500 feet. Swath width is 3.9 nautical miles (7.26 kilometers) at 10,000 feet, and the total scan angle or field of regard for the sensor is 100 degrees, plus or minus 15 degrees for roll compensation. THERMAL INFRARED MULTISPECTRAL SCANNER The Thermal Infrared Multispectral Scanner (TIMS) sensor is a line scanning device originally designed for geologic applications. Flown aboard NASA C-130B, NASA ER-2, and NASA Learjet aircraft, the TIMS sensor has a nominal Instantaneous Field of View of 2.5 milliradians with a ground resolution of 25 feet (7.6 meters) at 10,000 feet. The sensor has a selectable scan rate (7.3, 8.7, 12, or 25 scans per second) with 698 pixels per scan line. Swath width is 2.6 nautical miles (4.8 kilometers) at 10,000 feet while the scanner's Field of View is 76.56 degrees. proprietary
AERONET_aerosol_706_1 SAFARI 2000 AERONET Ground-based Aerosol Data, Dry Season 2000 ORNL_CLOUD STAC Catalog 1999-01-01 2001-12-31 28.03, -26.19, 28.03, -26.19 https://cmr.earthdata.nasa.gov/search/concepts/C2788355135-ORNL_CLOUD.umm_json AERONET (AErosol RObotic NETwork) is an optical ground-based aerosol monitoring network and data archive system. AERONET measurements of the column-integrated aerosol optical properties in the southern Africa region were made by sun-sky radiometers at several sites in August-September 2000 as a part of the SAFARI 2000 dry season aircraft campaign. AERONET is supported by NASA's Earth Observing System and expanded by federation with many non-NASA institutions. The network hardware consists of identical automatic sun-sky scanning spectral radiometers owned by national agencies and universities. Data from this collaboration provides globally-distributed near-real-time observations of aerosol spectral optical depths, aerosol size distributions, and precipitable water in diverse aerosol regimes. proprietary
AEROSE_0 Saharan Dust AERosols and Ocean Science Expeditions OB_DAAC STAC Catalog 2004-03-02 2017-04-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2108358203-OB_DAAC.umm_json AEROSE is an internationally recognized series of trans-Atlantic field campaigns conducted onboard the NOAA Ship Ronald H. Brown designed to explore African air mass outflows and their impacts on climate, weather, and environmental health. proprietary
AE_5DSno_2 AMSR-E/Aqua 5-Day L3 Global Snow Water Equivalent EASE-Grids V002 NSIDC_ECS STAC Catalog 2002-06-20 2011-10-03 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C179014698-NSIDC_ECS.umm_json These Level-3 Snow Water Equivalent (SWE) data sets contain SWE data and quality assurance flags mapped to Northern and Southern Hemisphere 25 km Equal-Area Scalable Earth Grids (EASE-Grids). proprietary
@@ -1657,12 +1657,12 @@ ALAN_VIIRS_CONUS_1 Annual Summary of Artificial Light At Night from VIIRS/S-NPP
ALERA ALERA AFES-LETKF experimental ensemble reanalysis SCIOPS STAC Catalog 2005-06-01 2007-01-10 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214593988-SCIOPS.umm_json ALERA is an experimental atmospheric reanalysis dataset for about one and a half years from 1 May 2005 produced on the Earth Simulator. It provides not only the ensemble mean but also spread of the ensemble members. The spread could be used as a measure of the analysis error. This datatset is produced under the collaboration among the Japan Meteorological Agency (JMA), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), and Chiba Institute of Science (CIS). ALERA may be used for research purposes for free under the terms and conditions . AFES (AGCM for the Earth Simulator) is run at a resolution of T159/L48 (about 80-km in the horizontal and 48 layers in the vertical). The ensemble size is chosen to be 40. Observational data excluding satellite radiances are assimillated using the LETKF (local ensemble transform Kalman filter). proprietary
ALERA2 ALERA AFES-LETKF experimental ensemble reanalysis 2 SCIOPS STAC Catalog 2008-01-01 2013-01-05 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214603763-SCIOPS.umm_json ALERA2 is an experimental atmospheric reanalysis dataset from 1 Jan 2008 to 5 Jan 2013 produced on the Earth Simulator. This dataset is the second generation of ALERA. In ALERA2, the ensemble size is increased from 40 to 63 and the data assimilation system is updated from the previous one (see Enomoto et al. 2013). This dataset is produced by Japan Agency for Marine-Earth Science and Technology (JAMSTEC). ALERA2 may be used for research purposes for free under the terms and conditions. AFES (AGCM for the Earth Simulator) is run at a resolution of T119L48 (about 100 km in the horizontal and 48 layers in the vertical). The PREPBUFR complied by the National Centers for Environmental Prediction (NCEP) and archived at the University Corporation for Atmospheric Research (UCAR) is used for the observational data and assimilated using the LETKF (local ensemble transform Kalman filter). proprietary
ALOS-2_CIRC_L1_RAD_NA ALOS-2/CIRC L1 Radiance JAXA STAC Catalog 2014-07-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2698130483-JAXA.umm_json "ALOS-2/CIRC L1 Radiance is obtained by Compact Infrared Camera (CIRC) onboard ALOS-2 and produced by the Japan Aerospace Exploration Agency (JAXA). The Advanced Land Observing Satellite-2 (ALOS-2, ""DAICHI-2"") is Sun-synchronous sub-recurrent Orbit satellite launched on May 24, which is a follow-on mission from the ALOS ""Daichi"". CIRC is an infrared sensor primarily intended for detecting forest fires, which present a serious problem for the various countries of Southeast Asia, particularly considering the effects of global warming and climate change. The spatial resolution and field of view are 210 m and 128 km à 96 km from an altitude of 628 km in the case of ALOS-2. Main characteristic of the CIRC is also an athermal optics. The athermal optics compensates the defocus due to the temperature change by using Germanium and Chalcogenide glass which have different coefficient of thermal expansion and temperature dependence of refractive index.This dataset includes radiance data derived from Level 0 data and the radiometric correction applied. The physical quantity is W/um/sr/m^2.The provided format is GeoTIFF. The spatial resolution is about 210 m. The projection method is UTM. The current version is 11.0." proprietary
-ALOS.AVNIR-2.L1C_NA ALOS AVNIR-2 L1C ESA STAC Catalog 2006-04-28 2011-04-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689548-ESA.umm_json This collection is providing access to the ALOS-1 AVNIR-2 (Advanced Visible and Near Infrared Radiometer type 2) L1C data acquired by ESA stations in the ADEN zone plus some worldwide data requested by European scientists. The ADEN zone (https://earth.esa.int/eogateway/documents/20142/37627/ALOS-ADEN-Zone.pdf) was the area belonging to the European Data node and covered both the European and the African continents, large part of the Greenland and the Middle East. The full mission is covered, obviously with gaps outside to the ADEN zone: • Time windows: from 2006-04-28 to 2011-04-20 • Orbits: from 1375 to 27898 • Path (corresponds to JAXA track number): from 1 to 670 • Row (corresponds to JAXA scene centre frame number): from 370 to 5230 One single Level 1C product types is offered for the OBS instrument mode: AV2_OBS_1C. proprietary
+ALOS.AVNIR-2.L1C_7.0 ALOS AVNIR-2 L1C ESA STAC Catalog 2006-04-28 2011-04-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689548-ESA.umm_json This collection is providing access to the ALOS-1 AVNIR-2 (Advanced Visible and Near Infrared Radiometer type 2) L1C data acquired by ESA stations in the ADEN zone plus some worldwide data requested by European scientists. The ADEN zone (https://earth.esa.int/eogateway/documents/20142/37627/ALOS-ADEN-Zone.pdf) was the area belonging to the European Data node and covered both the European and the African continents, large part of the Greenland and the Middle East. The full mission is covered, obviously with gaps outside to the ADEN zone: • Time windows: from 2006-04-28 to 2011-04-20 • Orbits: from 1375 to 27898 • Path (corresponds to JAXA track number): from 1 to 670 • Row (corresponds to JAXA scene centre frame number): from 370 to 5230 One single Level 1C product types is offered for the OBS instrument mode: AV2_OBS_1C. The Level 1C product is a multispectral image (three bands in VIS and one in NIR) in GEOTIFF format with 10 m resolution. proprietary
ALOS.PALSAR.FBS.FBD.PLR.products_NA ALOS PALSAR products ESA STAC Catalog 2006-05-02 2011-04-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336814-ESA.umm_json The dataset contains all ESA acquisitions over the ADEN zone (Europe, Africa and the Middle East) plus some products received from JAXA over areas of interest around the world. Further information on ADEN zones can be found in this technical note (https://earth.esa.int/eogateway/documents/20142/37627/ALOS-ADEN-Zone.pdf). ALOS PALSAR products are available in following modes:• Fine Beam Single polarisation(FBS): single polarisation (HH or VV), swath 40-70km, resolution 10m, temporal coverage from 02/05/2006 to 30/03/2011 • Fine Beam Double polarisation (FBD): double polarisation (HH/HV or VV/VH) ), swath 40-70km, resolution 10m, temporal coverage from 02/05/2006 to 30/03/2011 • Polarimetry mode (PLR), with four polarisations simultaneously: swath 30km, resolution 30m, temporal coverage from 26/08/2006 to 14/04/2011 • ScanSAR Burst mode 1 (WB1), single polarization: swath 250-350km, resolution 100m, temporal coverage from 12/06/2006 to 21/04/2011 Following processing levels are available: • RAW( level 1.0): Raw data generated by every downlink segment and every band. Divided into an equivalent size to one scene. • GDH (level 1.5):Ground range Detected, Normal resolution product • GEC (level 1.5): Geocoded product proprietary
-ALOSIPY_NA ALOS PALSAR International Polar Year Antarctica ESA STAC Catalog 2008-07-25 2010-03-31 -180, -90, 180, -50 https://cmr.earthdata.nasa.gov/search/concepts/C1965336817-ESA.umm_json International Polar Year (IPY), focusing on the north and south polar regions, aimed to investigate the impact of how changes to the ice sheets affect ocean and climate change to the habitats in these regions. IPY was a collaborative project involving over sixty countries for two years from March 2007 to March 2009. To meet the project goal, world space agencies observed these regions intensively using their own Earth observation satellites. One of these satellites, ALOS - with the PALSAR (Phased Array type L-band Synthetic Aperture Radar) sensor - observed these regions independently from day-night conditions or weather conditions. Carrying on this initiative, ESA is providing the ALOS PALSAR IPY Antarctica dataset, which consists of full resolution ALOS PALSAR ScanSAR WB1 products (100m spatial resolution) over Antarctica from July 2008 (cycle 21) to December 2008 (Cycle 24) and from May 2009 (cycle 27) to March 2010 (cycle 31). Missing products between the two periods above is due to L0 data over Antarctica not being available in ADEN archives and not processed to L1. Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/smcat/ALOSIPY/ available on the Third Party Missions Dissemination Service. proprietary
+ALOSIPY_9.0 ALOS PALSAR International Polar Year Antarctica ESA STAC Catalog 2008-07-25 2010-03-31 -180, -90, 180, -50 https://cmr.earthdata.nasa.gov/search/concepts/C1965336817-ESA.umm_json International Polar Year (IPY), focusing on the north and south polar regions, aimed to investigate the impact of how changes to the ice sheets affect ocean and climate change to the habitats in these regions. IPY was a collaborative project involving over sixty countries for two years from March 2007 to March 2009. To meet the project goal, world space agencies observed these regions intensively using their own Earth observation satellites. One of these satellites, ALOS - with the PALSAR (Phased Array type L-band Synthetic Aperture Radar) sensor - observed these regions independently from day-night conditions or weather conditions. Carrying on this initiative, ESA is providing the ALOS PALSAR IPY Antarctica dataset, which consists of full resolution ALOS PALSAR ScanSAR WB1 products (100m spatial resolution) over Antarctica from July 2008 (cycle 21) to December 2008 (Cycle 24) and from May 2009 (cycle 27) to March 2010 (cycle 31). Missing products between the two periods above is due to L0 data over Antarctica not being available in ADEN archives and not processed to L1. Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://alos-ds.eo.esa.int/smcat/ALOSIPY/ available on the Third Party Missions Dissemination Service. proprietary
ALOS_AVNIR_OBS_ORI_2 ALOS_AVNIR_OBS_ORI ASF STAC Catalog 2006-01-23 2011-05-23 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1808440897-ASF.umm_json ALOS AVNIR-2 OBS ORI proprietary
-ALOS_NA Alos African Coverage ESA archive ESA STAC Catalog 2006-07-09 2009-05-12 -26, -37, 53, 37 https://cmr.earthdata.nasa.gov/search/concepts/C1965336815-ESA.umm_json ALOS Africa is a dataset of the best available (cloud minimal, below 10%) African coverage acquired by AVNIR-2 in OBS mode and PRISM in OB1 mode (all Backward, Nadir and Forward views, in separated products), two different collections one for each instrument. The processing level for both AVNIR-2 and PRISM products is L1B. proprietary
-ALOS_PRISM_L1B_NA Alos PRISM L1B ESA STAC Catalog 2006-07-09 2011-03-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689640-ESA.umm_json This collection provides access to the ALOS-1 PRISM (Panchromatic Remote-sensing Instrument for Stereo Mapping) L1B data acquired by ESA stations in the ADEN zone plus some data requested by European scientists over their areas of interest around the world. The ADEN zone (https://earth.esa.int/eogateway/documents/20142/37627/ALOS-ADEN-Zone.pdf) was the area belonging to the European Data node and covered both the European and African continents, a large part of Greenland and the Middle East. The full mission is covered, though with gaps outside of the ADEN zone: Time window: from 2006-07-09 to 2011-03-31 Orbits: from 2425 to 24189 Path (corresponds to JAXA track number): from 1 to 668 Row (corresponds to JAXA scene centre frame number): from 55 to 7185. Two different Level 1B product types (Panchromatic images in VIS-NIR bands, 2.5 m resolution at nadir) are offered, one for each available sensor mode: PSM_OB1_11 -> composed of up to three views; Nadir, Forward and Backward at 35 km swath PSM_OB2_11 -> composed of up to two views; Nadir view at 70 km width and Backward view at 35 km width. All ALOS PRISM EO-SIP products have, at least, the Nadir view which is used for the frame number identification. All views are packaged together; each view, in CEOS format, is stored in a directory named according to the view ID according to the JAXA naming convention. proprietary
+ALOS_NA ALOS Images(ROSCOSMOS) ESA STAC Catalog 2006-01-01 2011-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336815-ESA.umm_json This collection provides access to images archived at ROSCOSMOS for ALOS mission. proprietary
+ALOS_PRISM_L1B_7.0 Alos PRISM L1B ESA STAC Catalog 2006-07-09 2011-03-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689640-ESA.umm_json This collection provides access to the ALOS-1 PRISM (Panchromatic Remote-sensing Instrument for Stereo Mapping) L1B data acquired by ESA stations in the ADEN zone plus some data requested by European scientists over their areas of interest around the world. The ADEN zone (https://earth.esa.int/eogateway/documents/20142/37627/ALOS-ADEN-Zone.pdf) was the area belonging to the European Data node and covered both the European and African continents, a large part of Greenland and the Middle East. The full mission is covered, though with gaps outside of the ADEN zone: Time window: from 2006-07-09 to 2011-03-31 Orbits: from 2425 to 24189 Path (corresponds to JAXA track number): from 1 to 668 Row (corresponds to JAXA scene centre frame number): from 55 to 7185. Two different Level 1B product types (Panchromatic images in VIS-NIR bands, 2.5 m resolution at nadir) are offered, one for each available sensor mode: PSM_OB1_11 -> composed of up to three views; Nadir, Forward and Backward at 35 km swath PSM_OB2_11 -> composed of up to two views; Nadir view at 70 km width and Backward view at 35 km width. All ALOS PRISM EO-SIP products have, at least, the Nadir view which is used for the frame number identification. All views are packaged together; each view, in CEOS format, is stored in a directory named according to the view ID according to the JAXA naming convention. proprietary
ALOS_PSR_KMZ_1 ALOS_PALSAR_KMZ ASF STAC Catalog 2006-03-23 2011-04-22 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1206156901-ASF.umm_json ALOS PALSAR KMZ proprietary
ALOS_PSR_L1.0_1 ALOS_PALSAR_LEVEL1.0 ASF STAC Catalog 2006-03-23 2011-04-22 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1206485320-ASF.umm_json ALOS PALSAR Level 1.0 proprietary
ALOS_PSR_L1.1_1 ALOS_PALSAR_LEVEL1.1 ASF STAC Catalog 2006-01-23 2011-05-23 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1206485527-ASF.umm_json ALOS PALSAR Level 1.1 proprietary
@@ -2372,7 +2372,7 @@ ASAC_992_1 Delineation of simple microecosystems associated with the quartz ston
ASAC_996_1 Assessment of the impact of human sewage effluent on benthic communities at Macquarie Island AU_AADC STAC Catalog 1996-12-01 1997-12-07 158, -54, 159, -54 https://cmr.earthdata.nasa.gov/search/concepts/C1214313062-AU_AADC.umm_json Metadata record for data expected from ASAC Project 996 See the link below for public details on this project. The study investigated the effects of the small sewage outfall on algal epifauna in the isthmus area. No impacts were detected and patterns of community structure were tentatively explained by local differences in wave exposure gradients. From the abstract to the referenced paper: As part of a wider programme investigating the effects of human presence on Antarctic and sub-Antarctic ecosystems, this study evaluated the impact of the small sewage outfall at Macquarie Island on the epifauna living within turfs of the intertidal red alga Chaetangium fastigiatum. Sampling was conducted during early December (austral summer) in both 1996 and 1997 at six sites, two sites within each of three adjacent bays. The site closest to the outfall was 3m from the point of discharge. Data analyses at the population and community levels failed to demonstrate a significant effect of the outfall. Small scale spatial patterns, probably related to wave exposure, and inter-annual variation in recruitment, are suggested as the main causes of variation in patterns of epifaunal dominance during the study. The site codes used in this dataset are: GCS - Garden Cove South GCN - Garden Cove North GBS - Bay 1 South GBN - Bay 1 North CS - Bay 2 North CN - Bay 2 South At each site 5 replicates were taken. The numbers are total individuals of each species that were found in each Chaetangium sample. This is a basic, though standard, species-abundance matrix. The fields in this dataset are: Species Site Year proprietary
ASAC_999_1 Insect migration and monitoring studies on Macquarie Island AU_AADC STAC Catalog 1996-09-01 2000-03-31 158.86, -54.61, 158.86, -54.61 https://cmr.earthdata.nasa.gov/search/concepts/C1214313063-AU_AADC.umm_json Preliminary Metadata record for data expected from ASAC Project 999 See the link below for public details on this project. ---- Public Summary from Project ---- Large numbers of insects, mites, spiders and other biological material are transported southwards from source areas across southern Australia on warm prefrontal airflows moving at 100 km/h or more which develop ahead of eastward moving cold fronts centred over the Southern Oceans. Migrating invertebrates need to remain airborne for only 18-24 hours to be transported from Australia to Macquarie Island. This project involves the use of invertebrate traps (mainly wind traps and light traps) to monitor transfers of biological material between continental land masses and sub-Antarctic Macquarie and Heard Islands, and theoretical consideration and modelling of meteorological parameters governing these transfers. The project extends to monitoring of dispersal on, and colonisation of, sub-Antarctic Macquarie and Heard islands by invertebrate animals, including those introduced by human activities. Some data are available for this project. Such data are attached to this metadata record via the related URL section. The data that is available was compiled for archival by Penny Greenslade. Some of the collected invertebrate samples from the island are available in the Queen Victoria Museum in Launceston, Tasmania. The following datasets (and their fields) are currently available. Location of nematode sampling sites Location Sampled in 1951 Sample Number East West Note - this dataset also refers to work completed by Bunt in 1951 (see metadata record 'The Soil Inhabiting Nematodes of Macquarie Island'). Furthermore, the nematode dataset has become 'confused' with time, and the meaning of some of the columns is not clear. Location of oligochaete sampling sites Date Time Site Location Latitude Longitude Vegetation Sample Comments proprietary
ASAC_Harley_1 Metamorphic evolution, tectonic setting, partial melting, genesis, structural and chemical processes, and Archaean crustal accretion histories in Prydz Bay AU_AADC STAC Catalog 1987-09-01 1994-03-31 66.1333, -70.8166, 78.5, -68.418 https://cmr.earthdata.nasa.gov/search/concepts/C1214306676-AU_AADC.umm_json This dataset represents the collected work arising from ASAC projects 263, 351, 497 and 716 (ASAC_263, ASAC_351, ASAC_497, ASAC_716). The data are pooled together into a single excel file, and presented by year. Descriptions/explanations of acronyms used are given at the bottom of each spreadsheet. One worksheet also details all publications arising from (and related to) the four ASAC projects. The full titles of the four ASAC projects are: ASAC 263: Metamorphic Evolution and Tectonic Setting of Granulites from Eastern Prydz Bay ASAC 351: The Role of Partial Melting in the Genesis of Mafic Migmatites and Orthogenesis within the Rauer islands ASAC 497: Structural and Chemical Processes in Granulite Metamorphism: the Rauer Group and Brattstrand Bluffs Region, Prydz Bay ASAC 716: Archaean Crustal Accretion Histories and Significance for Geological Correlations Between the Vestfold Block and Rauer Group The fields in this dataset are: Archive Collector Sample Number Location Location Code Latitude Longitude Field description Collected for Reported in Comments Type Grid reference Worker proprietary
-ASA_AP__0P_Scenes_NA Envisat ASAR AP Co- and Cross-polar L0 [ASA_APC/APH/APV_0P] ESA STAC Catalog 2002-11-15 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336818-ESA.umm_json The ASAR Alternating Polarization Mode Level 0 (Co-polar and Cross-polar H and V) products contain time-ordered Annotated Instrument Source Packets (AISPs) corresponding to one of the three possible polarisation combinations: HH & HV, VV & VH and HH & VV, respectively. The echo samples in the AISPs have been compressed to 4 bits/sample using FBAQ. This is a high-rate, narrow swath mode, so data is only acquired for partial orbit segments. There are two co-registered images per acquisition and may be from one of seven different image swaths. The Level 0 product was produced systematically for all data acquired within this mode. Data Size: 56-100 km across track x 100 km along track There are three AP Mode Level 0 products: - ASA_APH_0P: The Cross-polar H Level 0 product corresponds to the polarisation combination HH/HV. - ASA_APV_0P: The Cross-polar V Level 0 product corresponds to the polarisation combination VV/VH. - ASA_APC_0P: The Co-polar Level 0 product corresponds to the polarisation combination HH/VV= H and H received/V transmit and V received. proprietary
+ASA_AP__0P_Scenes_9.0 Envisat ASAR AP Co- and Cross-polar L0 [ASA_APC/APH/APV_0P] ESA STAC Catalog 2002-11-15 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336818-ESA.umm_json The ASAR Alternating Polarization Mode Level 0 (Co-polar and Cross-polar H and V) products contain time-ordered Annotated Instrument Source Packets (AISPs) corresponding to one of the three possible polarisation combinations: HH & HV, VV & VH and HH & VV, respectively. The echo samples in the AISPs have been compressed to 4 bits/sample using FBAQ. This is a high-rate, narrow swath mode, so data is only acquired for partial orbit segments. There are two co-registered images per acquisition and may be from one of seven different image swaths. The Level 0 product was produced systematically for all data acquired within this mode. Data Size: 56-100 km across track x 100 km along track There are three AP Mode Level 0 products: - ASA_APH_0P: The Cross-polar H Level 0 product corresponds to the polarisation combination HH/HV. - ASA_APV_0P: The Cross-polar V Level 0 product corresponds to the polarisation combination VV/VH. - ASA_APC_0P: The Co-polar Level 0 product corresponds to the polarisation combination HH/VV= H and H received/V transmit and V received. proprietary
ASC Aircraft Sounding Of Clouds from the WDC/Meteorology-Obninsk Research Institute of Hydrometeorological Information (RIHMI) SCIOPS STAC Catalog 1982-12-31 20, -36, -170, 83 https://cmr.earthdata.nasa.gov/search/concepts/C1214584880-SCIOPS.umm_json The ASC data set is archived at the World Data Center-B Research Institute of Hydrometeorological Information (RIHMI), Kaluga, Russia. The parameters include upper-air temperature, humidity, pressure, and cloud data such as amount, zero isotherm height, turbulence, inversion, icing, and isotherms for Africa, Asia, Europe, and Australia since 1983. proprietary
ASCATA-L2-25km_Operational/Near-Real-Time MetOp-A ASCAT Level 2 25.0 km Ocean Surface Wind Vectors POCLOUD STAC Catalog 2007-03-27 2021-11-15 -180, -89.6, 180, 89.6 https://cmr.earthdata.nasa.gov/search/concepts/C2075141524-POCLOUD.umm_json "This dataset contains operational near-real-time Level 2 ocean surface wind vector retrievals from the Advanced Scatterometer (ASCAT) on MetOp-A at 25 km sampling resolution (note: the effective resolution is 50 km). It is a product of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) Ocean and Sea Ice Satellite Application Facility (OSI SAF) provided through the Royal Netherlands Meteorological Institute (KNMI). The wind vector retrievals are currently processed using the CMOD7.n geophysical model function using a Hamming filter to spatially average the Sigma-0 data in the ASCAT L1B data. Each file is provided in netCDF version 3 format, and contains one full orbit derived from 3-minute orbit granules. Latency is approximately 2 hours from the latest measurement. The beginning of the orbit is defined by the first wind vector cell measurement within the first 3-minute orbit granule that starts north of the Equator in the ascending node. ASCAT is a C-band dual fan beam radar scatterometer providing two independent swaths of backscatter retrievals in sun-synchronous polar orbit aboard the MetOp-A platform. For more information on the MetOp mission, please visit: https://www.eumetsat.int/our-satellites/metop-series . For more timely announcements, users are encouraged to register with the KNMI scatterometer email list: scat@knmi.nl. Users are also highly advised to check the dataset user guide periodically for updates and new information on known problems and issues. All intellectual property rights of the OSI SAF products belong to EUMETSAT. The use of these products is granted to every interested user, free of charge. If you wish to use these products, EUMETSAT's copyright credit must be shown by displaying the words ""copyright (year) EUMETSAT"" on each of the products used." proprietary
ASCATA-L2-Coastal_Operational/Near-Real-Time MetOp-A ASCAT Level 2 Ocean Surface Wind Vectors Optimized for Coastal Ocean POCLOUD STAC Catalog 2010-08-18 2021-11-15 -180, -89.6, 180, 89.6 https://cmr.earthdata.nasa.gov/search/concepts/C1996881752-POCLOUD.umm_json "This dataset contains operational near-real-time Level 2 coastal ocean surface wind vector retrievals from the Advanced Scatterometer (ASCAT) on MetOp-A at 12.5 km sampling resolution (note: the effective resolution is 25 km). It is a product of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) Ocean and Sea Ice Satellite Application Facility (OSI SAF) provided through the Royal Netherlands Meteorological Institute (KNMI). This coastal dataset differs from the standard 25 km datasets in that it utilizes a spatial box filter (rather than the Hamming filter) to generate a spatial average of the Sigma-0 retrievals from the Level 1B dataset; all full resolution Sigma-0 retrievals within a 15 km radius of the wind vector cell centroid are used in the averaging. Since the full resolution L1B Sigma-0 retrievals are used, all non-sea retrievals are discarded prior to the Sigma-0 averaging. Each box average Sigma-0 is then used to compute the wind vector cell using the same CMOD7.n geophysical model function as in the standard OSI SAF ASCAT wind vector datasets. With this enhanced coastal retrieval, winds can be computed as close to ~15 km from the coast, as compared to the static ~35 km land mask in the standard 12.5 km dataset. Each file is provided in netCDF version 3 format, and contains one full orbit derived from 3-minute orbit granules. Latency is approximately 2 hours from the latest measurement. The beginning of the orbit is defined by the first wind vector cell measurement within the first 3-minute orbit granule that starts north of the Equator in the ascending node. ASCAT is a C-band dual fan beam radar scatterometer providing two independent swaths of backscatter retrievals in sun-synchronous polar orbit aboard the MetOp-A platform. For more information on the MetOp mission, please visit: https://www.eumetsat.int/our-satellites/metop-series . For more timely announcements, users are encouraged to register with the KNMI scatterometer email list: scat@knmi.nl. Users are also highly advised to check the dataset user guide periodically for updates and new information on known problems and issues. All intellectual property rights of the OSI SAF products belong to EUMETSAT. The use of these products is granted to every interested user, free of charge. If you wish to use these products, EUMETSAT's copyright credit must be shown by displaying the words ""copyright (year) EUMETSAT"" on each of the products used." proprietary
@@ -2426,51 +2426,51 @@ ATL02_006 ATLAS/ICESat-2 L1B Converted Telemetry Data V006 NSIDC_ECS STAC Catalo
ATL03_006 ATLAS/ICESat-2 L2A Global Geolocated Photon Data V006 NSIDC_ECS STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2559919423-NSIDC_ECS.umm_json This data set (ATL03) contains height above the WGS 84 ellipsoid (ITRF2014 reference frame), latitude, longitude, and time for all photons downlinked by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. The ATL03 product was designed to be a single source for all photon data and ancillary information needed by higher-level ATLAS/ICESat-2 products. As such, it also includes spacecraft and instrument parameters and ancillary data not explicitly required for ATL03. proprietary
ATL03_006 ATLAS/ICESat-2 L2A Global Geolocated Photon Data V006 NSIDC_CPRD STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2596864127-NSIDC_CPRD.umm_json This data set (ATL03) contains height above the WGS 84 ellipsoid (ITRF2014 reference frame), latitude, longitude, and time for all photons downlinked by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. The ATL03 product was designed to be a single source for all photon data and ancillary information needed by higher-level ATLAS/ICESat-2 products. As such, it also includes spacecraft and instrument parameters and ancillary data not explicitly required for ATL03. proprietary
ATL03_ANC_MASKS_1 ATLAS/ICESat-2 ATL03 Ancillary Masks, Version 1 NSIDCV0 STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2278879612-NSIDCV0.umm_json This ancillary ICESat-2 data set contains four static surface masks (land ice, sea ice, land, and ocean) provided by ATL03 to reduce the volume of data that each surface-specific along-track data product is required to process. For example, the land ice surface mask directs the ATL06 land ice algorithm to consider data from only those areas of interest to the land ice community. Similarly, the sea ice, land, and ocean masks direct ATL07, ATL08, and ATL12 algorithms, respectively. A detailed description of all four masks can be found in section 4 of the Algorithm Theoretical Basis Document (ATBD) for ATL03 linked under technical references. proprietary
-ATL04_006 ATLAS/ICESat-2 L2A Normalized Relative Backscatter Profiles V006 NSIDC_CPRD STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2613553327-NSIDC_CPRD.umm_json ATL04 contains along-track normalized relative backscatter profiles of the atmosphere. The product includes full 532 nm (14 km) uncalibrated attenuated backscatter profiles at 25 times per second for vertical bins of approximately 30 meters. Calibration coefficient values derived from data within the polar regions are also included. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
ATL04_006 ATLAS/ICESat-2 L2A Normalized Relative Backscatter Profiles V006 NSIDC_ECS STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2561045326-NSIDC_ECS.umm_json ATL04 contains along-track normalized relative backscatter profiles of the atmosphere. The product includes full 532 nm (14 km) uncalibrated attenuated backscatter profiles at 25 times per second for vertical bins of approximately 30 meters. Calibration coefficient values derived from data within the polar regions are also included. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
-ATL06_006 ATLAS/ICESat-2 L3A Land Ice Height V006 NSIDC_CPRD STAC Catalog 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2670138092-NSIDC_CPRD.umm_json This data set (ATL06) provides geolocated, land-ice surface heights (above the WGS 84 ellipsoid, ITRF2014 reference frame), plus ancillary parameters that can be used to interpret and assess the quality of the height estimates. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
+ATL04_006 ATLAS/ICESat-2 L2A Normalized Relative Backscatter Profiles V006 NSIDC_CPRD STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2613553327-NSIDC_CPRD.umm_json ATL04 contains along-track normalized relative backscatter profiles of the atmosphere. The product includes full 532 nm (14 km) uncalibrated attenuated backscatter profiles at 25 times per second for vertical bins of approximately 30 meters. Calibration coefficient values derived from data within the polar regions are also included. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
ATL06_006 ATLAS/ICESat-2 L3A Land Ice Height V006 NSIDC_ECS STAC Catalog 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2564427300-NSIDC_ECS.umm_json This data set (ATL06) provides geolocated, land-ice surface heights (above the WGS 84 ellipsoid, ITRF2014 reference frame), plus ancillary parameters that can be used to interpret and assess the quality of the height estimates. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
+ATL06_006 ATLAS/ICESat-2 L3A Land Ice Height V006 NSIDC_CPRD STAC Catalog 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2670138092-NSIDC_CPRD.umm_json This data set (ATL06) provides geolocated, land-ice surface heights (above the WGS 84 ellipsoid, ITRF2014 reference frame), plus ancillary parameters that can be used to interpret and assess the quality of the height estimates. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
ATL07QL_006 ATLAS/ICESat-2 L3A Sea Ice Height Quick Look V006 NSIDC_ECS STAC Catalog 2024-08-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548344839-NSIDC_ECS.umm_json ATL07QL is the quick look version of ATL07. Once final ATL07 files are available, the corresponding ATL07QL files will be removed. ATL07 contains along-track heights for sea ice and open water leads (at varying length scales) relative to the WGS84 ellipsoid (ITRF2014 reference frame) after adjustment for geoidal and tidal variations and inverted barometer effects. Height statistics and apparent reflectance are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
-ATL07_006 ATLAS/ICESat-2 L3A Sea Ice Height V006 NSIDC_ECS STAC Catalog 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2564625052-NSIDC_ECS.umm_json The data set (ATL07) contains along-track heights for sea ice and open water leads (at varying length scales) relative to the WGS84 ellipsoid (ITRF2014 reference frame) after adjustment for geoidal and tidal variations, and inverted barometer effects. Height statistics and apparent reflectance are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
ATL07_006 ATLAS/ICESat-2 L3A Sea Ice Height V006 NSIDC_CPRD STAC Catalog 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2713030505-NSIDC_CPRD.umm_json The data set (ATL07) contains along-track heights for sea ice and open water leads (at varying length scales) relative to the WGS84 ellipsoid (ITRF2014 reference frame) after adjustment for geoidal and tidal variations, and inverted barometer effects. Height statistics and apparent reflectance are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
+ATL07_006 ATLAS/ICESat-2 L3A Sea Ice Height V006 NSIDC_ECS STAC Catalog 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2564625052-NSIDC_ECS.umm_json The data set (ATL07) contains along-track heights for sea ice and open water leads (at varying length scales) relative to the WGS84 ellipsoid (ITRF2014 reference frame) after adjustment for geoidal and tidal variations, and inverted barometer effects. Height statistics and apparent reflectance are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
ATL08QL_006 ATLAS/ICESat-2 L3A Land and Vegetation Height Quick Look V006 NSIDC_ECS STAC Catalog 2024-08-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548345108-NSIDC_ECS.umm_json ATL08QL is the quick look version of ATL08. Once final ATL08 files are available the corresponding ATL08QL files will be removed. ATL08 contains along-track heights above the WGS84 ellipsoid (ITRF2014 reference frame) for the ground and canopy surfaces. The canopy and ground surfaces are processed in fixed 100 m data segments, which typically contain more than 100 signal photons. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
-ATL08_006 ATLAS/ICESat-2 L3A Land and Vegetation Height V006 NSIDC_CPRD STAC Catalog 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2613553260-NSIDC_CPRD.umm_json This data set (ATL08) contains along-track heights above the WGS84 ellipsoid (ITRF2014 reference frame) for the ground and canopy surfaces. The canopy and ground surfaces are processed in fixed 100 m data segments, which typically contain more than 100 signal photons. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
ATL08_006 ATLAS/ICESat-2 L3A Land and Vegetation Height V006 NSIDC_ECS STAC Catalog 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2565090645-NSIDC_ECS.umm_json This data set (ATL08) contains along-track heights above the WGS84 ellipsoid (ITRF2014 reference frame) for the ground and canopy surfaces. The canopy and ground surfaces are processed in fixed 100 m data segments, which typically contain more than 100 signal photons. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
+ATL08_006 ATLAS/ICESat-2 L3A Land and Vegetation Height V006 NSIDC_CPRD STAC Catalog 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2613553260-NSIDC_CPRD.umm_json This data set (ATL08) contains along-track heights above the WGS84 ellipsoid (ITRF2014 reference frame) for the ground and canopy surfaces. The canopy and ground surfaces are processed in fixed 100 m data segments, which typically contain more than 100 signal photons. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
ATL09QL_006 ATLAS/ICESat-2 L3A Calibrated Backscatter Profiles and Atmospheric Layer Characteristics Quick Look V006 NSIDC_ECS STAC Catalog 2024-08-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2551528419-NSIDC_ECS.umm_json ATL09QL is the quick look version of ATL09. Once final ATL09 files are available the corresponding ATL09QL files will be removed. ATL09 contains calibrated, attenuated backscatter profiles, layer integrated attenuated backscatter, and other parameters including cloud layer height and atmospheric characteristics obtained from the data. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
ATL09_006 ATLAS/ICESat-2 L3A Calibrated Backscatter Profiles and Atmospheric Layer Characteristics V006 NSIDC_ECS STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2607017115-NSIDC_ECS.umm_json This data set (ATL09) contains calibrated, attenuated backscatter profiles, layer integrated attenuated backscatter, and other parameters including cloud layer height and atmospheric characteristics obtained from the data. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
ATL09_006 ATLAS/ICESat-2 L3A Calibrated Backscatter Profiles and Atmospheric Layer Characteristics V006 NSIDC_CPRD STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2649212495-NSIDC_CPRD.umm_json This data set (ATL09) contains calibrated, attenuated backscatter profiles, layer integrated attenuated backscatter, and other parameters including cloud layer height and atmospheric characteristics obtained from the data. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
ATL10QL_006 ATLAS/ICESat-2 L3A Sea Ice Freeboard Quick Look V006 NSIDC_ECS STAC Catalog 2024-08-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2551529078-NSIDC_ECS.umm_json ATL10QL is the quick look version of ATL10. Once final ATL10 files are available the corresponding ATL10QL files will be removed. ATL10 contains estimates of sea ice freeboard, calculated using three different approaches. Sea ice leads used to establish the reference sea surface and descriptive statistics used in the height estimates are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
-ATL10_006 ATLAS/ICESat-2 L3A Sea Ice Freeboard V006 NSIDC_ECS STAC Catalog 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2567856357-NSIDC_ECS.umm_json This data set (ATL10) contains estimates of sea ice freeboard, calculated using three different approaches. Sea ice leads used to establish the reference sea surface and descriptive statistics used in the height estimates are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
ATL10_006 ATLAS/ICESat-2 L3A Sea Ice Freeboard V006 NSIDC_CPRD STAC Catalog 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2613553243-NSIDC_CPRD.umm_json This data set (ATL10) contains estimates of sea ice freeboard, calculated using three different approaches. Sea ice leads used to establish the reference sea surface and descriptive statistics used in the height estimates are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
+ATL10_006 ATLAS/ICESat-2 L3A Sea Ice Freeboard V006 NSIDC_ECS STAC Catalog 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2567856357-NSIDC_ECS.umm_json This data set (ATL10) contains estimates of sea ice freeboard, calculated using three different approaches. Sea ice leads used to establish the reference sea surface and descriptive statistics used in the height estimates are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
ATL11_006 ATLAS/ICESat-2 L3B Slope-Corrected Land Ice Height Time Series V006 NSIDC_CPRD STAC Catalog 2019-03-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2752556504-NSIDC_CPRD.umm_json This data set provides time series of land-ice surface heights derived from the ICESat-2 ATL06 Land Ice Height product. It is intended primarily as an input for higher level gridded products but can also be used on its own as a spatially organized product that allows easy access to height-change information derived from ICESat-2 observations. proprietary
ATL11_006 ATLAS/ICESat-2 L3B Slope-Corrected Land Ice Height Time Series V006 NSIDC_ECS STAC Catalog 2019-03-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2750966856-NSIDC_ECS.umm_json This data set provides time series of land-ice surface heights derived from the ICESat-2 ATL06 Land Ice Height product. It is intended primarily as an input for higher level gridded products but can also be used on its own as a spatially organized product that allows easy access to height-change information derived from ICESat-2 observations. proprietary
ATL12_006 ATLAS/ICESat-2 L3A Ocean Surface Height V006 NSIDC_CPRD STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2613553216-NSIDC_CPRD.umm_json This data set (ATL12) contains along-track sea surface height of the global open ocean, including the ice-free seasonal ice zone and near-coast regions. Estimates of height distributions, significant wave height, sea state bias, and 10 m heights are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
ATL12_006 ATLAS/ICESat-2 L3A Ocean Surface Height V006 NSIDC_ECS STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2560378689-NSIDC_ECS.umm_json This data set (ATL12) contains along-track sea surface height of the global open ocean, including the ice-free seasonal ice zone and near-coast regions. Estimates of height distributions, significant wave height, sea state bias, and 10 m heights are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. proprietary
ATL13QL_006 ATLAS/ICESat-2 L3A Along Track Inland Surface Water Data Quick Look V006 NSIDC_ECS STAC Catalog 2024-08-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2650092501-NSIDC_ECS.umm_json ATL13QL is the quick look version of ATL13. Once final ATL13 files are available the corresponding ATL13QL files will be removed. ATL13 contains along-track surface water products for inland water bodies. Inland water bodies include lakes, reservoirs, rivers, bays, estuaries and a 7 km near-shore buffer. Principal data products include the along-track water surface height and standard deviation, subsurface signal (532 nm) attenuation, significant wave height, wind speed, and coarse depth to bottom topography (where data permit). proprietary
-ATL13_006 ATLAS/ICESat-2 L3A Along Track Inland Surface Water Data V006 NSIDC_CPRD STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2684928243-NSIDC_CPRD.umm_json This data set (ATL13) contains along-track surface water products for inland water bodies. Inland water bodies include lakes, reservoirs, rivers, bays, estuaries and a 7km near-shore buffer. Principal data products include the along-track water surface height and standard deviation, subsurface signal (532 nm) attenuation, significant wave height, wind speed, and coarse depth to bottom topography (where data permit). proprietary
ATL13_006 ATLAS/ICESat-2 L3A Along Track Inland Surface Water Data V006 NSIDC_ECS STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2650116584-NSIDC_ECS.umm_json This data set (ATL13) contains along-track surface water products for inland water bodies. Inland water bodies include lakes, reservoirs, rivers, bays, estuaries and a 7km near-shore buffer. Principal data products include the along-track water surface height and standard deviation, subsurface signal (532 nm) attenuation, significant wave height, wind speed, and coarse depth to bottom topography (where data permit). proprietary
-ATL14_003 ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height V003 NSIDC_CPRD STAC Catalog 2019-03-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2776895337-NSIDC_CPRD.umm_json ATL14 and ATL15 bring the time-varying height estimates provided in ATLAS/ICESat-2 L3B Annual Land Ice Height (ATL11) into a gridded format. ATL14 is a high-resolution (100 m) digital elevation model (DEM) that provides spatially continuous gridded data of ice sheet surface height. The data can be used to initialize ice sheet models, as boundary conditions for atmospheric models, or to help with the reduction of other satellite data such as optical imagery or synthetic aperture radar (SAR). ATL15 provides coarser resolution (1 km, 10 km, 20 km, and 40 km) height-change maps at 3-month intervals, allowing for visualization of height-change patterns and calculation of integrated regional volume change. proprietary
+ATL13_006 ATLAS/ICESat-2 L3A Along Track Inland Surface Water Data V006 NSIDC_CPRD STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2684928243-NSIDC_CPRD.umm_json This data set (ATL13) contains along-track surface water products for inland water bodies. Inland water bodies include lakes, reservoirs, rivers, bays, estuaries and a 7km near-shore buffer. Principal data products include the along-track water surface height and standard deviation, subsurface signal (532 nm) attenuation, significant wave height, wind speed, and coarse depth to bottom topography (where data permit). proprietary
ATL14_003 ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height V003 NSIDC_ECS STAC Catalog 2019-03-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2776464127-NSIDC_ECS.umm_json ATL14 and ATL15 bring the time-varying height estimates provided in ATLAS/ICESat-2 L3B Annual Land Ice Height (ATL11) into a gridded format. ATL14 is a high-resolution (100 m) digital elevation model (DEM) that provides spatially continuous gridded data of ice sheet surface height. The data can be used to initialize ice sheet models, as boundary conditions for atmospheric models, or to help with the reduction of other satellite data such as optical imagery or synthetic aperture radar (SAR). ATL15 provides coarser resolution (1 km, 10 km, 20 km, and 40 km) height-change maps at 3-month intervals, allowing for visualization of height-change patterns and calculation of integrated regional volume change. proprietary
+ATL14_003 ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height V003 NSIDC_CPRD STAC Catalog 2019-03-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2776895337-NSIDC_CPRD.umm_json ATL14 and ATL15 bring the time-varying height estimates provided in ATLAS/ICESat-2 L3B Annual Land Ice Height (ATL11) into a gridded format. ATL14 is a high-resolution (100 m) digital elevation model (DEM) that provides spatially continuous gridded data of ice sheet surface height. The data can be used to initialize ice sheet models, as boundary conditions for atmospheric models, or to help with the reduction of other satellite data such as optical imagery or synthetic aperture radar (SAR). ATL15 provides coarser resolution (1 km, 10 km, 20 km, and 40 km) height-change maps at 3-month intervals, allowing for visualization of height-change patterns and calculation of integrated regional volume change. proprietary
ATL14_004 ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height V004 NSIDC_CPRD STAC Catalog 2019-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3162179692-NSIDC_CPRD.umm_json This data set contains a high-resolution (100 m) gridded digital elevation model (DEM) for the Antarctic ice sheet and regions around the Arctic. The data can be used to initialize ice sheet models, as boundary conditions for atmospheric models, or to help with the reduction of other satellite data such as optical imagery or synthetic aperture radar (SAR). The data are derived from the ATLAS/ICESat-2 L3B Slope-Corrected Land Ice Height Time Series product (ATL11). proprietary
ATL14_004 ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height V004 NSIDC_ECS STAC Catalog 2019-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3159684163-NSIDC_ECS.umm_json This data set contains a high-resolution (100 m) gridded digital elevation model (DEM) for the Antarctic ice sheet and regions around the Arctic. The data can be used to initialize ice sheet models, as boundary conditions for atmospheric models, or to help with the reduction of other satellite data such as optical imagery or synthetic aperture radar (SAR). The data are derived from the ATLAS/ICESat-2 L3B Slope-Corrected Land Ice Height Time Series product (ATL11). proprietary
-ATL15_003 ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height Change V003 NSIDC_ECS STAC Catalog 2019-03-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2776464171-NSIDC_ECS.umm_json ATL14 and ATL15 bring the time-varying height estimates provided in ATLAS/ICESat-2 L3B Annual Land Ice Height (ATL11) into a gridded format. ATL14 is a high-resolution (100 m) digital elevation model (DEM) that provides spatially continuous gridded data of ice sheet surface height. The data can be used to initialize ice sheet models, as boundary conditions for atmospheric models, or to help with the reduction of other satellite data such as optical imagery or synthetic aperture radar (SAR). ATL15 provides coarser resolution (1 km, 10 km, 20 km, and 40 km) height-change maps at 3-month intervals, allowing for visualization of height-change patterns and calculation of integrated regional volume change. proprietary
ATL15_003 ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height Change V003 NSIDC_CPRD STAC Catalog 2019-03-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2776895930-NSIDC_CPRD.umm_json ATL14 and ATL15 bring the time-varying height estimates provided in ATLAS/ICESat-2 L3B Annual Land Ice Height (ATL11) into a gridded format. ATL14 is a high-resolution (100 m) digital elevation model (DEM) that provides spatially continuous gridded data of ice sheet surface height. The data can be used to initialize ice sheet models, as boundary conditions for atmospheric models, or to help with the reduction of other satellite data such as optical imagery or synthetic aperture radar (SAR). ATL15 provides coarser resolution (1 km, 10 km, 20 km, and 40 km) height-change maps at 3-month intervals, allowing for visualization of height-change patterns and calculation of integrated regional volume change. proprietary
+ATL15_003 ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height Change V003 NSIDC_ECS STAC Catalog 2019-03-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2776464171-NSIDC_ECS.umm_json ATL14 and ATL15 bring the time-varying height estimates provided in ATLAS/ICESat-2 L3B Annual Land Ice Height (ATL11) into a gridded format. ATL14 is a high-resolution (100 m) digital elevation model (DEM) that provides spatially continuous gridded data of ice sheet surface height. The data can be used to initialize ice sheet models, as boundary conditions for atmospheric models, or to help with the reduction of other satellite data such as optical imagery or synthetic aperture radar (SAR). ATL15 provides coarser resolution (1 km, 10 km, 20 km, and 40 km) height-change maps at 3-month intervals, allowing for visualization of height-change patterns and calculation of integrated regional volume change. proprietary
ATL15_004 ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height Change V004 NSIDC_CPRD STAC Catalog 2019-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3162334027-NSIDC_CPRD.umm_json This data set contains land ice height changes and change rates for the Antarctic ice sheet and regions around the Arctic gridded at four spatial resolutions (1 km, 10 km, 20 km, and 40 km). The data are derived from the ATLAS/ICESat-2 L3B Slope-Corrected Land Ice Height Time Series product (ATL11). proprietary
ATL15_004 ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height Change V004 NSIDC_ECS STAC Catalog 2019-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3159684532-NSIDC_ECS.umm_json This data set contains land ice height changes and change rates for the Antarctic ice sheet and regions around the Arctic gridded at four spatial resolutions (1 km, 10 km, 20 km, and 40 km). The data are derived from the ATLAS/ICESat-2 L3B Slope-Corrected Land Ice Height Time Series product (ATL11). proprietary
ATL16_005 ATLAS/ICESat-2 L3B Weekly Gridded Atmosphere V005 NSIDC_CPRD STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2769337070-NSIDC_CPRD.umm_json This product reports weekly global cloud fraction, total column optical depth over the oceans, polar cloud fraction, blowing snow frequency, apparent surface reflectivity, and ground detection frequency. proprietary
ATL16_005 ATLAS/ICESat-2 L3B Weekly Gridded Atmosphere V005 NSIDC_ECS STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2737997243-NSIDC_ECS.umm_json This product reports weekly global cloud fraction, total column optical depth over the oceans, polar cloud fraction, blowing snow frequency, apparent surface reflectivity, and ground detection frequency. proprietary
-ATL17_005 ATLAS/ICESat-2 L3B Monthly Gridded Atmosphere V005 NSIDC_ECS STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2737997483-NSIDC_ECS.umm_json This data set contains a gridded summary of monthly global cloud fraction, total column optical depth over the oceans, polar cloud fraction, blowing snow frequency, apparent surface reflectivity, and ground detection frequency. proprietary
ATL17_005 ATLAS/ICESat-2 L3B Monthly Gridded Atmosphere V005 NSIDC_CPRD STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2769338020-NSIDC_CPRD.umm_json This data set contains a gridded summary of monthly global cloud fraction, total column optical depth over the oceans, polar cloud fraction, blowing snow frequency, apparent surface reflectivity, and ground detection frequency. proprietary
-ATL19_003 ATLAS/ICESat-2 L3B Monthly Gridded Dynamic Ocean Topography V003 NSIDC_ECS STAC Catalog 2018-10-13 -180, -88, 180, 88 https://cmr.earthdata.nasa.gov/search/concepts/C2746899536-NSIDC_ECS.umm_json This data set contains monthly gridded dynamic ocean topography (DOT), derived from along-track ATLAS/ICESat-2 L3A Ocean Surface Height product (ATL12). Monthly gridded sea surface height (SSH) can be calculated by adding the mean DOT and the weighted average geoid height also provided in this data set. Both single beam and all-beam gridded averages are available in this data set. Single beam averages are useful to identify biases among the beams and the all-beam averages are advised to use for physical oceanography. proprietary
+ATL17_005 ATLAS/ICESat-2 L3B Monthly Gridded Atmosphere V005 NSIDC_ECS STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2737997483-NSIDC_ECS.umm_json This data set contains a gridded summary of monthly global cloud fraction, total column optical depth over the oceans, polar cloud fraction, blowing snow frequency, apparent surface reflectivity, and ground detection frequency. proprietary
ATL19_003 ATLAS/ICESat-2 L3B Monthly Gridded Dynamic Ocean Topography V003 NSIDC_CPRD STAC Catalog 2018-10-13 -180, -88, 180, 88 https://cmr.earthdata.nasa.gov/search/concepts/C2754956786-NSIDC_CPRD.umm_json This data set contains monthly gridded dynamic ocean topography (DOT), derived from along-track ATLAS/ICESat-2 L3A Ocean Surface Height product (ATL12). Monthly gridded sea surface height (SSH) can be calculated by adding the mean DOT and the weighted average geoid height also provided in this data set. Both single beam and all-beam gridded averages are available in this data set. Single beam averages are useful to identify biases among the beams and the all-beam averages are advised to use for physical oceanography. proprietary
+ATL19_003 ATLAS/ICESat-2 L3B Monthly Gridded Dynamic Ocean Topography V003 NSIDC_ECS STAC Catalog 2018-10-13 -180, -88, 180, 88 https://cmr.earthdata.nasa.gov/search/concepts/C2746899536-NSIDC_ECS.umm_json This data set contains monthly gridded dynamic ocean topography (DOT), derived from along-track ATLAS/ICESat-2 L3A Ocean Surface Height product (ATL12). Monthly gridded sea surface height (SSH) can be calculated by adding the mean DOT and the weighted average geoid height also provided in this data set. Both single beam and all-beam gridded averages are available in this data set. Single beam averages are useful to identify biases among the beams and the all-beam averages are advised to use for physical oceanography. proprietary
ATL20_004 ATLAS/ICESat-2 L3B Daily and Monthly Gridded Sea Ice Freeboard V004 NSIDC_CPRD STAC Catalog 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2753295020-NSIDC_CPRD.umm_json ATL20 contains daily and monthly gridded estimates of sea ice freeboard, derived from along-track freeboard estimates in the ATLAS/ICESat-2 L3A Sea Ice Freeboard product (ATL10). Data are gridded at 25 km using the SSM/I Polar Stereographic Projection. proprietary
ATL20_004 ATLAS/ICESat-2 L3B Daily and Monthly Gridded Sea Ice Freeboard V004 NSIDC_ECS STAC Catalog 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2666857908-NSIDC_ECS.umm_json ATL20 contains daily and monthly gridded estimates of sea ice freeboard, derived from along-track freeboard estimates in the ATLAS/ICESat-2 L3A Sea Ice Freeboard product (ATL10). Data are gridded at 25 km using the SSM/I Polar Stereographic Projection. proprietary
-ATL21_003 ATLAS/ICESat-2 L3B Daily and Monthly Gridded Polar Sea Surface Height Anomaly V003 NSIDC_ECS STAC Catalog 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2737912334-NSIDC_ECS.umm_json ATL21 contains daily and monthly gridded polar sea surface height (SSH) anomalies, derived from the along-track ATLAS/ICESat-2 L3A Sea Ice Height product (ATL10, V6). The ATL10 product identifies leads in sea ice and establishes a reference sea surface used to estimate SSH in 10 km along-track segments. ATL21 aggregates the ATL10 along-track SSH estimates and computes daily and monthly gridded SSH anomaly in NSIDC Polar Stereographic Northern and Southern Hemisphere 25 km grids. proprietary
ATL21_003 ATLAS/ICESat-2 L3B Daily and Monthly Gridded Polar Sea Surface Height Anomaly V003 NSIDC_CPRD STAC Catalog 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2753316241-NSIDC_CPRD.umm_json ATL21 contains daily and monthly gridded polar sea surface height (SSH) anomalies, derived from the along-track ATLAS/ICESat-2 L3A Sea Ice Height product (ATL10, V6). The ATL10 product identifies leads in sea ice and establishes a reference sea surface used to estimate SSH in 10 km along-track segments. ATL21 aggregates the ATL10 along-track SSH estimates and computes daily and monthly gridded SSH anomaly in NSIDC Polar Stereographic Northern and Southern Hemisphere 25 km grids. proprietary
-ATL22_003 ATLAS/ICESat-2 L3B Mean Inland Surface Water Data V003 NSIDC_ECS STAC Catalog 2018-10-14 -180, -88, 180, 88 https://cmr.earthdata.nasa.gov/search/concepts/C2738530540-NSIDC_ECS.umm_json ATL22 is a derivative of the continuous Level 3A ATL13 Along Track Inland Surface Water Data product. ATL13 contains the high-resolution, along-track inland water surface profiles derived from analysis of the geolocated photon clouds from the ATL03 product. Starting from ATL13, ATL22 computes the mean surface water quantities with no additional photon analysis. The two data products, ATL22 and ATL13, can be used in conjunction as they include the same orbit and water body nomenclature independent from version numbers. proprietary
+ATL21_003 ATLAS/ICESat-2 L3B Daily and Monthly Gridded Polar Sea Surface Height Anomaly V003 NSIDC_ECS STAC Catalog 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2737912334-NSIDC_ECS.umm_json ATL21 contains daily and monthly gridded polar sea surface height (SSH) anomalies, derived from the along-track ATLAS/ICESat-2 L3A Sea Ice Height product (ATL10, V6). The ATL10 product identifies leads in sea ice and establishes a reference sea surface used to estimate SSH in 10 km along-track segments. ATL21 aggregates the ATL10 along-track SSH estimates and computes daily and monthly gridded SSH anomaly in NSIDC Polar Stereographic Northern and Southern Hemisphere 25 km grids. proprietary
ATL22_003 ATLAS/ICESat-2 L3B Mean Inland Surface Water Data V003 NSIDC_CPRD STAC Catalog 2018-10-14 -180, -88, 180, 88 https://cmr.earthdata.nasa.gov/search/concepts/C2761722214-NSIDC_CPRD.umm_json ATL22 is a derivative of the continuous Level 3A ATL13 Along Track Inland Surface Water Data product. ATL13 contains the high-resolution, along-track inland water surface profiles derived from analysis of the geolocated photon clouds from the ATL03 product. Starting from ATL13, ATL22 computes the mean surface water quantities with no additional photon analysis. The two data products, ATL22 and ATL13, can be used in conjunction as they include the same orbit and water body nomenclature independent from version numbers. proprietary
-ATL23_001 ATLAS/ICESat-2 L3B Monthly 3-Month Gridded Dynamic Ocean Topography V001 NSIDC_ECS STAC Catalog 2018-10-13 -180, -88, 180, 88 https://cmr.earthdata.nasa.gov/search/concepts/C2692731693-NSIDC_ECS.umm_json This data set contains 3-month gridded averages of dynamic ocean topography (DOT) over midlatitude, north-polar, and south-polar grids derived from the along-track ATLAS/ICESat-2 L3A Ocean Surface Height product (ATL12). Monthly gridded sea surface height (SSH) can be calculated by adding the mean DOT and the weighted average geoid height also provided. Both single beam and all-beam gridded averages are available. Simple averages, degree-of-freedom averages, and averages interpolated to the center of grid cells are included, as well as uncertainty estimates. proprietary
+ATL22_003 ATLAS/ICESat-2 L3B Mean Inland Surface Water Data V003 NSIDC_ECS STAC Catalog 2018-10-14 -180, -88, 180, 88 https://cmr.earthdata.nasa.gov/search/concepts/C2738530540-NSIDC_ECS.umm_json ATL22 is a derivative of the continuous Level 3A ATL13 Along Track Inland Surface Water Data product. ATL13 contains the high-resolution, along-track inland water surface profiles derived from analysis of the geolocated photon clouds from the ATL03 product. Starting from ATL13, ATL22 computes the mean surface water quantities with no additional photon analysis. The two data products, ATL22 and ATL13, can be used in conjunction as they include the same orbit and water body nomenclature independent from version numbers. proprietary
ATL23_001 ATLAS/ICESat-2 L3B Monthly 3-Month Gridded Dynamic Ocean Topography V001 NSIDC_CPRD STAC Catalog 2018-10-13 -180, -88, 180, 88 https://cmr.earthdata.nasa.gov/search/concepts/C2765424272-NSIDC_CPRD.umm_json This data set contains 3-month gridded averages of dynamic ocean topography (DOT) over midlatitude, north-polar, and south-polar grids derived from the along-track ATLAS/ICESat-2 L3A Ocean Surface Height product (ATL12). Monthly gridded sea surface height (SSH) can be calculated by adding the mean DOT and the weighted average geoid height also provided. Both single beam and all-beam gridded averages are available. Simple averages, degree-of-freedom averages, and averages interpolated to the center of grid cells are included, as well as uncertainty estimates. proprietary
+ATL23_001 ATLAS/ICESat-2 L3B Monthly 3-Month Gridded Dynamic Ocean Topography V001 NSIDC_ECS STAC Catalog 2018-10-13 -180, -88, 180, 88 https://cmr.earthdata.nasa.gov/search/concepts/C2692731693-NSIDC_ECS.umm_json This data set contains 3-month gridded averages of dynamic ocean topography (DOT) over midlatitude, north-polar, and south-polar grids derived from the along-track ATLAS/ICESat-2 L3A Ocean Surface Height product (ATL12). Monthly gridded sea surface height (SSH) can be calculated by adding the mean DOT and the weighted average geoid height also provided. Both single beam and all-beam gridded averages are available. Simple averages, degree-of-freedom averages, and averages interpolated to the center of grid cells are included, as well as uncertainty estimates. proprietary
ATLAS_DEALIASED_SASS_L2_1 SEASAT SCATTEROMETER DEALIASED OCEAN WIND VECTORS (Atlas) POCLOUD STAC Catalog 1978-07-07 1978-10-10 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2617197627-POCLOUD.umm_json Contains wind speeds and directions derived from the Seasat-A Scatterometer (SASS), presented chronologically by swath for the period between 7 July 1978 and 10 October 1978. Robert Atlas et al. (1987) produced this product using an objective ambiguity removal scheme to dealias the wind vector data binned at 100 km cells, which were calculated by Frank Wentz. proprietary
ATLAS_Veg_Plots_1541_1 Arctic Vegetation Plots ATLAS Project North Slope and Seward Peninsula, AK, 1998-2000 ORNL_CLOUD STAC Catalog 1998-07-01 2000-07-29 -165.07, 64.73, -153.74, 71.32 https://cmr.earthdata.nasa.gov/search/concepts/C2162120307-ORNL_CLOUD.umm_json This data set provides environmental, soil, and vegetation data collected from study sites on the North Slope and Seward Peninsula of Alaska during the Arctic Transition in Land-Atmosphere System (ATLAS) project. ATLAS-1 sites on the North Slope, located in Barrow, Atqasuk, Oumalik, and Ivotuk, were sampled in 1998-1999. ATLAS-2 sites located at Council and Quartz Creek on the Seward Peninsula were sampled in 2000. Specific attributes include dominant vegetation species and cover, biomass, soil chemistry and moisture, leaf area index (LAI), normalized difference vegetation index (NDVI), topography and elevation, and plant cover abundance. proprietary
ATMOSL1_3 ATMOS L1 Spectra and Runlogs V3 (ATMOSL1) at GES DISC GES_DISC STAC Catalog 1985-04-30 1994-11-12 -180, -73, 180, 75 https://cmr.earthdata.nasa.gov/search/concepts/C2234896943-GES_DISC.umm_json This is the version 3 Atmospheric Trace Molecule Spectroscopy (ATMOS) Level 1 product containing spectra and runlog (i.e. ) information in a netCDF format. ATMOS is an infrared spectrometer (a Fourier transform interferometer) designed to derive vertical concentrations of various trace gases in the atmosphere, particularly the ozone depleting chlorine and fluorine based molecules. The transmission spectra are ratioed from ATMOS high sun observations, on a scale of 0 to 1. Data files also include time, geolocation and other information. The data were collected during four space shuttle missions: STS-51B/Spacelab 3 (April 30 to May 1, 1985), STS-45/ATLAS-1 (March 25 to April 2, 1992), STS-55/ATLAS-2 (April 8 to 16, 1993), and STS-66/ATLAS-3 (November 3 to 12, 1994). Data are written to separate files grouped by mission (sl3, at1, at2 or at3), and occultation type (sunrise or sunset) and number. proprietary
@@ -2542,7 +2542,7 @@ ATom_WAS_Instrument_Data_1751_1 ATom: L2 Halocarbons and Hydrocarbons from the U
ATom_merge_1581_1.5 ATom: Merged Atmospheric Chemistry, Trace Gases, and Aerosols ORNL_CLOUD STAC Catalog 2016-07-29 2018-05-21 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2966724160-ORNL_CLOUD.umm_json This dataset provides information on greenhouse gases and human-produced air pollution, including atmospheric concentrations of carbon dioxide (CO2), methane (CH4), tropospheric ozone (O3), and black carbon (BC) aerosols, collected during airborne campaigns conducted by NASA's Atmospheric Tomography (ATom) mission. This dataset includes merged data from all instruments plus additional data such as numbered profiles and distance flown. Merged data have been created for seven different sampling intervals. In the case of data obtained over longer time intervals (e.g. flask data), the merge files provide (weighted) averages to match the sampling intervals. ATom deploys an extensive gas and aerosol payload on the NASA DC-8 aircraft for a systematic, global-scale sampling of the atmosphere, profiling continuously from 0.2 to 12 km altitude. Flights occurred in each of 4 seasons from 2016 to 2018. Flights originate from the Armstrong Flight Research Center in Palmdale, California, fly north to the western Arctic, south to the South Pacific, east to the Atlantic, north to Greenland, and return to California across central North America. ATom establishes a single, contiguous, global-scale dataset. This comprehensive dataset will be used to improve the representation of chemically reactive gases and short-lived climate forcers in global models of atmospheric chemistry and climate. Profiles of the reactive gases will also provide critical information for the validation of satellite data, particularly in remote areas where in situ data is lacking. Complete aircraft flight information including, but not limited to, latitude, longitude, and altitude are also provided. This data release provides results from all instruments on all four ATom flight campaigns. proprietary
ATom_merge_V2_1925_2.0 ATom: Merged Atmospheric Chemistry, Trace Gases, and Aerosols, Version 2 ORNL_CLOUD STAC Catalog 2016-07-29 2018-05-21 -180, -86.18, 180, 82.94 https://cmr.earthdata.nasa.gov/search/concepts/C2367011141-ORNL_CLOUD.umm_json This dataset provides information on greenhouse gases and human-produced air pollution, including atmospheric concentrations of carbon dioxide (CO2), methane (CH4), tropospheric ozone (O3), and black carbon (BC) aerosols, collected during airborne campaigns conducted by NASA's Atmospheric Tomography (ATom) mission. This dataset includes merged data from all instruments plus additional data such as numbered profiles and distance flown. Merged data products have been created for seven different aggregation intervals (1 second, 10 seconds, and 5 instrument-specific intervals). In the case of data obtained over longer time intervals (e.g., flask data), the merge files provide (weighted) averages to match the sampling intervals. This comprehensive dataset will be used to improve the representation of chemically reactive gases and short-lived climate forcers in global models of atmospheric chemistry and climate. proprietary
ATom_nav_1613_1 ATom: Aircraft Flight Track and Navigational Data ORNL_CLOUD STAC Catalog 2016-07-29 2018-05-21 -180, -86.18, 180, 82.94 https://cmr.earthdata.nasa.gov/search/concepts/C2675823486-ORNL_CLOUD.umm_json This dataset provides flight track and aircraft navigation data from the NASA Atmospheric Tomography Mission (ATom). Flight track information is available for the four ATom campaigns: ATom-1, ATom-2, ATom-3, and ATom-4. Each ATom campaign consists of multiple individual flights and flight navigational information is recorded in 10-second intervals. Data available for each flight includes research flight number, date, and start and stop time of each 10-second interval. In addition, latitude, longitude, altitude, pressure and temperature is included at each 10-second interval. NASA's ATom campaign deploys an extensive gas and aerosol payload on the NASA DC-8 aircraft for systematic, global-scale sampling of the atmosphere, profiling continuously from 0.2 to 12 km altitude. Flights occurred in each of 4 seasons from 2016 to 2018. During each campaign, flights originate from the Armstrong Flight Research Center in Palmdale, California, fly north to the western Arctic, south to the South Pacific, east to the Atlantic, north to Greenland, and return to California across central North America. ATom establishes a single, contiguous, global-scale dataset. One intended use of this flight track data is to facilitate to mapping model results from global models onto the precise ATom flight tracks for comparison. proprietary
-AUX_Dynamic_Open_NA SMOS Auxiliary Data ESA STAC Catalog 2010-06-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336820-ESA.umm_json "The Level 2 ECMWF SMOS Auxiliary data product, openly available to all users, contains ECMWF data on the ISEA 4-9 DGG corresponding to SMOS half-orbit. It is used by both the ocean salinity and soil moisture operational processors to store the geophysical parameters from ECMWF forecasts. Access to other SMOS Level 1 and Level 2 ""dynamic"" and ""static"" auxiliary datasets is restricted to Cal/Val users. The detailed content of the SMOS Auxiliary Data Files (ADF) is described in the Products Specification documents available in the Resources section below." proprietary
+AUX_Dynamic_Open_4.0 SMOS Auxiliary Data ESA STAC Catalog 2010-06-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336820-ESA.umm_json The Level 2 ECMWF SMOS Auxiliary data product, openly available to all users, contains ECMWF data on the ISEA 4-9 DGG corresponding to SMOS half-orbit. It is used by both the ocean salinity and soil moisture operational processors to store the geophysical parameters from ECMWF forecasts. Access to other SMOS Level 1 and Level 2 "dynamic" and "static" auxiliary datasets is restricted to Cal/Val users. The detailed content of the SMOS Auxiliary Data Files (ADF) is described in the Products Specification documents available in the Resources section below. proprietary
AU_5DSno_1 AMSR-E/AMSR2 Unified L3 Global 5-Day 25 km EASE-Grid Snow Water Equivalent V001 NSIDC_ECS STAC Catalog 2012-07-02 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1587882982-NSIDC_ECS.umm_json This AMSR-E/AMSR2 Unified Level-3 (L3) data set provides 5-day maximum estimates of Snow Water Equivalent (SWE). SWE was derived from brightness temperature measurements acquired by the Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on board the JAXA GCOM-W1 satellite. The SWE data is rendered to an azimuthal 25 km Equal-Area Scalable Earth Grid (EASE-Grid) for both the Northern and Southern Hemisphere. Note: This data set uses JAXA AMSR2 Level-1R (L1R) input brightness temperatures that are calibrated, or unified, across the JAXA AMSR-E and JAXA AMSR2 L1R products. proprietary
AU_DyOcn_1 AMSR-E/AMSR2 Unified L3 Global Daily Ascending/Descending .25x.25 deg Ocean Grids V001 NSIDC_ECS STAC Catalog 2002-06-01 -180, -89.24, 180, 89.24 https://cmr.earthdata.nasa.gov/search/concepts/C3159616988-NSIDC_ECS.umm_json The AMSR-E/AMSR2 Unified L3 Global Daily Ascending/Descending .25 x .25 deg Ocean Grids data set (AU_DyOcn) reports daily estimates of water vapor, cloud liquid water content, and surface wind speed over the ocean on a global 0.25° × 0.25° resolution grid. The data are derived from the AMSR-E/AMSR2 Unified L2B Global Swath Ocean Products, Version 1 data set. Sea surface temperatures from the NOAA 1/4° Daily Optimum Interpolation Sea Surface Temperature (OISST) product are also included. proprietary
AU_DySno_1 AMSR-E/AMSR2 Unified L3 Global Daily 25 km EASE-Grid Snow Water Equivalent V001 NSIDC_ECS STAC Catalog 2012-07-02 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1601063219-NSIDC_ECS.umm_json This AMSR-E/AMSR2 Unified Level-3 (L3) data set provides daily estimates of Snow Water Equivalent (SWE). SWE was derived from brightness temperature measurements acquired by the Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on board the JAXA GCOM-W1 satellite. The SWE data is rendered to an azimuthal 25 km Equal-Area Scalable Earth Grid (EASE-Grid) for both the Northern and Southern Hemisphere. Note: This data set uses JAXA AMSR2 Level-1R (L1R) input brightness temperatures that are calibrated, or unified, across the JAXA AMSR-E and JAXA AMSR2 L1R products. proprietary
@@ -2573,6 +2573,7 @@ AVHRRF_MB-STAR-L2P-v2.80_2.80 GHRSST NOAA/STAR Metop-B AVHRR FRAC ACSPO v2.80 1k
AVHRRF_MB-STAR-L3U-v2.80_2.80 GHRSST NOAA/STAR Metop-B AVHRR FRAC ACSPO v2.80 0.02 L3U Dataset (GDS v2) POCLOUD STAC Catalog 2012-10-19 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205121416-POCLOUD.umm_json This L3U (Level 3 Uncollated) dataset contains global daily Sea Surface Temperature (SST) on a 0.02 degree grid resolution. It is produced by the National Oceanic and Atmospheric Administration (NOAA) Advanced Clear Sky Processor for Ocean (ACSPO) using L2P (Level 2 Preprocessed) product acquired from the Meteorological Operational satellite B (Metop-B) Advanced Very High Resolution Radiometer 3 (AVHRR/3) (https://podaac.jpl.nasa.gov/dataset/AVHRRF_MB-STAR-L2P-v2.80 ) in Full Resolution Area Coverage (FRAC) mode as input. It is distributed as 10-minute granules in netCDF-4 format, compliant with the Group for High Resolution Sea Surface Temperature (GHRSST) Data Specification version 2 (GDS2). There are 144 granules per 24-hour interval. Fill values are reported in all invalid pixels, including land pixels with >5 km inland. For each valid water pixel (defined as ocean, sea, lake or river), and up to 5 km inland, the following major layers are reported: SSTs and ACSPO clear-sky mask (ACSM; provided in each grid as part of l2p_flags, which also includes day/night, land, ice, twilight, and glint flags). Only input L2P SSTs with QL=5 were gridded, so all valid SSTs are recommended for the users. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (SSES bias and standard deviation) are reported in each pixel with valid SST. Ancillary layers include wind speed and ACSPO minus reference Canadian Meteorological Centre (CMC) Level 4 (L4) SST. The ACSPO Metop-B AVHRR FRAC L3U product is monitored and validated against iQuam in situ data (Xu and Ignatov, 2014) in the NOAA SST Quality Monitor (SQUAM) system (Dash et al, 2010). SST imagery and clear-sky mask are evaluated, and checked for consistency with L2P and other satellites/sensors SST products, in the NOAA ACSPO Regional Monitor for SST (ARMS) system. More information about the dataset is found at AVHRRF_MB-STAR-L2P-v2.80 and in (Pryamitsyn et al., 2021). proprietary
AVHRRF_MC-STAR-L2P-v2.80_2.80 GHRSST NOAA/STAR Metop-C AVHRR FRAC ACSPO v2.80 1km L2P Dataset (GDS v2) POCLOUD STAC Catalog 2018-12-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205121400-POCLOUD.umm_json The MetOp First Generation (FG) is a European multi-satellite program jointly established by ESA and EUMETSAT, comprising three satellites, MetOp-A, -B and -C. The primary sensor onboard MetOp-FG, the Advanced Very High Resolution Radiometer/3 (AVHRR/3) contributed by NOAA, measures Earth emissions and reflectances in 5 out of 6 available bands (centered at 0.63, 0.83, 1.61, 3.7, 11 and 12 microns), in a swath of 2,600km from an 817km altitude. These data are collected in a Full Resolution Area Coverage (FRAC) mode, with pixel size of 1.1km at nadir. Metop-C launched on 7 November 2018 is the third and last in the MetOp-FG series. The NOAA Advanced Clear-Sky Processor for Ocean (ACSPO) Level 2 Preprocessed (L2P) SST product is derived at the full AVHRR FRAC resolution and reported in 10 minute granules in NetCDF4 format, compliant with the GHRSST Data Specification version 2 (GDS2). Subskin SSTs are derived using the regression Nonlinear SST (NLSST) algorithm, which employs three bands (3.7, 11 and 12 microns) at night and two bands (11 and 12 microns) during the day. The ACSPO AVHRR FRAC L2P product is monitored and validated against quality controlled in situ data, provided by the NOAA in situ SST Quality Monitor system (iQuam; Xu and Ignatov, 2014, https://doi.org/10.1175/JTECH-D-13-00121.1 ), in another NOAA system, SST Quality Monitor (SQUAM; Dash et al, 2010, https://doi.org/10.1175/2010JTECHO756.1 ). SST imagery and clear-sky masking are continuously evaluated, and checked for consistency with other sensors and platforms, in the ACSPO Regional Monitor for SST (ARMS) system. MetOp-A orbital characteristics and AVHRR/3 sensor performance are tracked in the NOAA 3S system (He et al., 2016, https://doi.org/10.3390/rs8040346 ).The L2P Near Real Time (NRT) SST files are archived at PO.DAAC with 3-6 hours latency, and then replaced by the Re-ANalysis (RAN) SST after about 2 months later with identical file names. Two features can be used to identify them: different file name time stamps and netCDF global attribute metadata source=NOAA-NCEP-GFS for NRT and source=MERRA-2 for RAN. A reduced size (0.45GB/day), equal-angle gridded (0.02-deg resolution) ACSPO L3U product is available at https://doi.org/10.5067/GHMTC-3US28 proprietary
AVHRRF_MC-STAR-L3U-v2.80_2.80 GHRSST NOAA/STAR Metop-C AVHRR FRAC ACSPO v2.80 0.02 L3U Dataset (GDS v2) POCLOUD STAC Catalog 2018-12-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205121433-POCLOUD.umm_json This L3U (Level 3 Uncollated) dataset contains global daily Sea Surface Temperature (SST) on a 0.02 degree grid resolution. It is produced by the National Oceanic and Atmospheric Administration (NOAA) Advanced Clear Sky Processor for Ocean (ACSPO) using L2P (Level 2 Preprocessed) product acquired from the Meteorological Operational satellite C (Metop-C) Advanced Very High Resolution Radiometer 3 (AVHRR/3) (https://podaac.jpl.nasa.gov/dataset/AVHRRF_MC-STAR-L2P-v2.80 ) in Full Resolution Area Coverage (FRAC) mode as input. It is distributed as 10-minute granules in netCDF-4 format, compliant with the Group for High Resolution Sea Surface Temperature (GHRSST) Data Specification version 2 (GDS2). There are 144 granules per 24-hour interval. Fill values are reported in all invalid pixels, including land pixels with >5 km inland. For each valid water pixel (defined as ocean, sea, lake or river), and up to 5 km inland, the following major layers are reported: SSTs and ACSPO clear-sky mask (ACSM; provided in each grid as part of l2p_flags, which also includes day/night, land, ice, twilight, and glint flags). Only input L2P SSTs with QL=5 were gridded, so all valid SSTs are recommended for the users. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (SSES bias and standard deviation) are reported in each pixel with valid SST. Ancillary layers include wind speed and ACSPO minus reference Canadian Meteorological Centre (CMC) Level 4 (L4) SST. The ACSPO Metop-C AVHRR FRAC L3U product is monitored and validated against iQuam in situ data (Xu and Ignatov, 2014) in the NOAA SST Quality Monitor (SQUAM) system (Dash et al, 2010). SST imagery and clear-sky mask are evaluated, and checked for consistency with L2P and other satellites/sensors SST products, in the NOAA ACSPO Regional Monitor for SST (ARMS) system. More information about the dataset is found at AVHRRF_MC-STAR-L2P-v2.80 and in (Pryamitsyn et al., 2021). proprietary
+AVHRRLocalAreaCoverageImagery10_6.0 AVHRR Level-1B/1C Local Area Coverage Imagery ESA STAC Catalog 1981-01-01 2020-12-31 -30, 35, 70, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3325394521-ESA.umm_json Level-1B description This collection is composed of AVHRR L1B products (1.1 km) reprocessed from the NOAA POES and Metop AVHRR sensors data acquired at the University of Dundee and University of Bern ground stations and from the ESA and University of Bern data historical archive. The product format is the NOAA AVHRR Level 1B that combines the AVHRR data from the HRPT stream with ancillary information like Earth location and calibration data which can be applied by the user. Other appended parameters are time codes, quality indicators, solar and satellite angles and telemetry. Two data collections cover Europe and the neighbouring regions in the period of 1 January 1981 to 31 December 2020 and the acquired data in the context of the 1-KM project in the ‘90s. During the early 1990’s various groups, including the International Geosphere-Biosphere Programme (IGBP), the Commission of the European Communities (CEC), the Moderate Resolution Imaging Spectrometer (MODIS) Science Team and ESA concluded that a global land 1 KM AVHRR data set would have been crucial to study and develop algorithms for several land products for the Earth Observing System. USGS, NOAA, ESA and other non-U.S. AVHRR receiving stations endorsed the initiative to collect a global land 1-km multi-temporal AVHRR data set over all land surfaces using NOAA's TIROS "afternoon" polar-orbiting satellite. On 1 April 1992, the project officially began up to the end of 1999 with the utilisation of 23 stations worldwide plus the NOAA local area coverage (LAC) on-board recorders. The global land 1-km AVHRR dataset is composed of 5 channels, raw AVHRR dataset at 1.1 km resolution from the NOAA-11 and NOAA-14 satellites covering land surfaces, inland water and coastal areas. Level-1C Description This data collection consists of measurements from the Advanced Very High Resolution Radiometer (AVHRR) at 1.1km full Local Area Coverage (LAC) resolution. It is based on the ESA AVHRR Level 1B European Data Set, a curated collection of AVHRR 1km data from 1981 to 2020 covering Europe, selected areas in Africa and the acquired data out-of-Europe in the context of the 1-KM project in the ‘90s (see the Level-1B description for details). The AVHRR LAC measurements were processed by the Remote Sensing Research Group of the University Bern, Switzerland. A landmark based navigation correction software adjusted time and satellite attitude to improve the georeferencing accuracy. The PyGAC software was used to convert the counts to reflectances for the visible and near-infrared channels 1, 2, 3A, and to brightness temperatures for the infrared channels 3B, 4, 5. The infrared calibration uses on-board calibration data and is satellite specific without cross-calibration between satellites. Due to the lack of on-board calibration data for the visible channels calculated coefficients from the CIMSS PATMOS-X project, version 2017r1, were used for the visible calibration aiming to minimize spectral differences among the various AVHRR sensors. The data format is NetCDF. The calibrated AVHRR data are accompanied by coordinates, satellite and solar angles, additional metadata, and basic quality indicators. The NOAA nomenclature is used for the data record labelling it as a set of AVHRR L1C data. proprietary
AVHRRMTA_G-NAVO-L2P-v1.0_1.0 GHRSST Level 2P Global 1m Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the MetOp-A satellite produced by NAVO POCLOUD STAC Catalog 2013-09-24 2020-07-07 -180, -70, 180, 80 https://cmr.earthdata.nasa.gov/search/concepts/C2205618215-POCLOUD.umm_json A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on multi-channel sea surface temperature (SST) retrievals generated in real-time from the Advanced Very High Resolution Radiometer (AVHRR) on the European Meteorological Operational-A (MetOp-A; launched 19 Oct 2006) ) satellite produced and used operationally in oceanographic analyses and forecasts by the US Naval Oceanographic Office (NAVO). The MetOp satellite program is a European undertaking providing weather data services for monitoring climate and improving weather forecasts. It was jointly established by the European Space Agency (ESA) and the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) with a contribution by the US National Oceanic and Atmospheric Administration (NOAA) of an AVHRR sensor identical to those flying on the family of Polar Orbiting Environmental Satellites (POES). AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive SST sometimes in combination with the 3.5 micron channel. The MetOp-A platform is sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. This particular dataset is produced from Global Area Coverage (GAC) data that are derived from an on-board sample averaging of the full resolution global AVHRR data. Four out of every five samples along the scan line are used to compute on average value and the data from only every third scan line are processed, yielding an effective 4 km resolution at nadir. Further binning and averaging of these pixels results in a final dataset resolution of 8.8 km. proprietary
AVHRRMTA_G-NAVO-L2P-v2.0_2.0 GHRSST Level 2P Global Sea Surface Temperature v2.0 from the AVHRR on the MetOp-A satellite produced by NAVO POCLOUD STAC Catalog 2020-06-29 -180, -70, 180, 80 https://cmr.earthdata.nasa.gov/search/concepts/C2036877495-POCLOUD.umm_json A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P data set containing multi-channel Sea Surface Temperature (SST) retrievals derived in real-time from the Advanced Very High Resolution Radiometer (AVHRR) level-1B data from the Meteorological Operational-A (MetOp-A) satellite. The SST data in this data set are used operationally in oceanographic analyses and forecasts by the US Naval Oceanographic Office (NAVO). The MetOp satellite program is a European multi-satellite program to provide weather data services for monitoring climate and improving weather forecasts. MetOp-A, MetOp-B and Metop-C were respectively launched on 19 Oct 2006, 17 September 2012 and 7 November 2018. The program was jointly established by the European Space Agency (ESA) and the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) with the US National Oceanic and Atmospheric Administration (NOAA) contributing the AVHRR sensor. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micron) and near-infrared (0.9 micron) regions, the third one is located around 4 (3.6) micron, and the last two sample the emitted thermal radiation, around 11 and 12 micron, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micron. Typically, the 11 and 12 micron channels are used to derive SST sometimes in combination with the 3.5 micron channel. The swath of the AVHRR sensor is a relatively large 2400 km. All MetOp platforms are sun synchronous and generally view the same earth location twice a day (latitude dependent). The ground native resolution of the AVHRR instruments is approximately 1.1 km at nadir and degrades off nadir. This particular data set is produced from legacy Global Area Coverage (GAC) data that are derived from a sample averaging of the full resolution global AVHRR data. Four out of every five samples along the scan line are used to compute on average value and the data from only every third scan line are processed, yielding an effective 4 km spatial resolution at nadir. The v2.0 is the updated version from current v1.0 with extensive algorithm improvements and upgrades. The major improvements include: 1) Significant changes in contaminant/cloud detection; 2) Increased the spatial resolution from 9 km to 4 km; 3) Updated compliance with GDS2, ACDD 1.3, and CF 1.6; and 4) Removed the dependency on the High-resolution Infrared Radiation Sounder (HIRS) sensor (only available to MetOp-A/B), thus allowing for the consistent inter-calibration and the processing of MetOp-A/B/C data proprietary
AVHRRMTB_G-NAVO-L2P-v1.0_1.0 GHRSST Level 2P Global 1m Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the MetOp-B satellite produced by NAVO POCLOUD STAC Catalog 2013-09-24 2020-06-22 -180, -70, 180, 80 https://cmr.earthdata.nasa.gov/search/concepts/C2205618339-POCLOUD.umm_json A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on multi-channel sea surface temperature (SST) retrievals generated in real-time from the Advanced Very High Resolution Radiometer (AVHRR) on the European Meteorological Operational-B (MetOp-B; launched 19 Oct 2006) ) satellite produced and used operationally in oceanographic analyses and forecasts by the US Naval Oceanographic Office (NAVO). The MetOp satellite program is a European undertaking providing weather data services for monitoring climate and improving weather forecasts. It was jointly established by the European Space Agency (ESA) and the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) with a contribution by the US National Oceanic and Atmospheric Administration (NOAA) of an AVHRR sensor identical to those flying on the family of Polar Orbiting Environmental Satellites (POES). AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive SST sometimes in combination with the 3.5 micron channel. The MetOp-A platform is sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. This particular dataset is produced from Global Area Coverage (GAC) data that are derived from an on-board sample averaging of the full resolution global AVHRR data. Four out of every five samples along the scan line are used to compute on average value and the data from only every third scan line are processed, yielding an effective 4 km resolution at nadir. Further binning and averaging of these pixels results in a final dataset resolution of 8.8 km. proprietary
@@ -3227,7 +3228,7 @@ CAL_WFC_L1_1Km-ValStage1-V3-01_V3-01 CALIPSO Wide Field Camera Level 1B 1 km Nat
CAL_WFC_L1_1Km-ValStage1-V3-02_V3-02 CALIPSO Wide Field Camera Level 1B 1 km Native Science data, Validated Stage 1 V3-02 LARC_ASDC STAC Catalog 2011-11-01 2020-04-10 180, -90, -180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C7427596-LARC_ASDC.umm_json CAL_WFC_L1_1Km-ValStage1-V3-02 data are Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Wide Field Camera (WFC), Level 1B 1 km Native Science data, Validated Stage 1 Version 3-02. Data collection for this product is ongoing. Version 3.02 represents a transition of the Lidar, Imaging Infrared Radiometer (IIR), and WFC processing and browse code to a new cluster computing system. No algorithm changes were introduced, and minor changes were observed between V3.01 and V3.02 due to the compiler and computer architecture differences. The primary WFC Level 1B data products are calibrated radiance and bidirectional reflectance registered to an Earth-based grid centered on the Lidar ground track. During regular operation, the WFC acquires science data only during the daylight portions of the CALIPSO orbits. The WFC Level 1B 1 km Native Science grid covers the 61 km swath centered on the Lidar track. CALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), IIR, and WFC. CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National d'Etudes Spatiales). proprietary
CAL_WFC_L1_IIR-ValStage1-V3-01_V3-01 CALIPSO Wide Field Camera Level 1B 1 km Registered Science data, Validated Stage 1 V3-01 LARC_ASDC STAC Catalog 2006-06-13 2011-11-01 180, -90, -180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C5862867-LARC_ASDC.umm_json CAL_WFC_L1_IIR-ValStage1-V3-01 data are Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Wide Field Camera Level 1B 1 km Registered Science data. Version 3.01 includes new metadata parameters and corrections to several minor software bugs. Specifically, the Orbit Number and Path Number metadata parameters are now included to facilitate improved subsetting capabilities. The primary Wide Field Camera Level 1B data products are calibrated radiance and bidirectional reflectance registered to an Earth-based grid centered on the Lidar ground track. During normal operation, the WFC acquires science data only during the daylight portions of the CALIPSO orbits. The Wide Field Camera Level 1B 1 IIR Registered Science grid provides WFC data on the identical grid as the CALIPSO IIR data and is produced to facilitate the use of the WFC data in the IIR retrievals. Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National d'Etudes Spatiales). proprietary
CAL_WFC_L1_IIR-ValStage1-V3-02_V3-02 CALIPSO Wide Field Camera Level 1B 1 km Registered Science data, Validated Stage 1 V3-02 LARC_ASDC STAC Catalog 2011-11-01 180, -90, -180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C7441430-LARC_ASDC.umm_json CAL_WFC_L1_IIR-ValStage1-V3-02 data are Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Wide Field Camera Level 1B 1 km Registered Science data. Version 3.02 represents a transition of the Lidar, IIR, and WFC processing and browse code to a new cluster computing system. No algorithm changes were introduced and very minor changes were observed between V3.01 and V3.02 as a result of the compiler and computer architecture differences. The primary Wide Field Camera Level 1B data products are calibrated radiance and bidirectional reflectance registered to an Earth-based grid centered on the Lidar ground track. During the normal operation, the WFC acquires science data only during the daylight portions of the CALIPSO orbits. The Wide Field Camera Level 1B 1 IIR Registered Science grid provides WFC data on the identical grid as the CALIPSO IIR data and is produced to facilitate the use of the WFC data in the IIR retrievals. Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) was launched on April 28, 2006 to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments, the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency, CNES. proprietary
-CAM5K30CFCLIM_003 Combined ASTER and MODIS Emissivity database over Land (CAMEL) Coefficient Climatology Monthly Global 0.05Deg V003 LPCLOUD STAC Catalog 2003-01-01 2022-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3274449168-LPCLOUD.umm_json The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Combined Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Moderate Resolution Imaging Spectroradiometer (MODIS) Emissivity for Land (CAMEL) data suite has been expanded to include a monthly global coefficient climatology product (CAM5K30CFCLIM). The product is provided at 0.05 degree (~5 kilometer) resolution. The CAMEL Principal Components Analysis (PCA) input coefficients utilized in the CAMEL high spectral resolution (HSR) algorithm are provided in the CAM5K30CF data product. They are congruent to the temporally equivalent CAM5K30EM emissivity data product. The HSR emissivity spectra for the same month each year and each unique combination of lab dataset version and number of Principal Components (PC)s are first computed independently and then combined via a weighted average. The weighted average over 2003 through 2021 (19 years) defines the weights by the number of samples from each unique combination. Additional details regarding the methodology are available in the User Guide and Algorithm Theoretical Basis Document (ATBD). Provided in the CAM5K30CFCLIM product are variables for PCA coefficients, the weights and sample numbers of the climatology coefficients used in the average calculation, sets of the number of PCA coefficients, laboratory version numbers, latitude, longitude, and land flag information. PCA coefficients depend on the lab PC data version and the number of PCs used. proprietary
+CAM5K30CFCLIM_003 Combined ASTER and MODIS Emissivity database over Land (CAMEL) Coefficient Climatology Monthly Global 0.05Deg V003 LPCLOUD STAC Catalog 2003-01-01 2022-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3274449168-LPCLOUD.umm_json The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Combined Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Moderate Resolution Imaging Spectroradiometer (MODIS) Emissivity for Land (CAMEL) data suite has been expanded to include a monthly global coefficient climatology product (CAM5K30CFCLIM). The product is provided at 0.05 degree (~5 kilometer) resolution. The CAMEL Principal Components Analysis (PCA) input coefficients utilized in the CAMEL high spectral resolution (HSR) algorithm are provided in the CAM5K30CFCLIM data product. This HSR algorithm is accessible in both MATLAB and FORTRAN programming languages, and it corresponds with the temporally equivalent CAM5K30EMCLIM emissivity data product. The HSR emissivity spectra for the same month each year and each unique combination of lab dataset version and number of Principal Components (PC)s are first computed independently and then combined via a weighted average. The weighted average over 2003 through 2021 (19 years) defines the weights by the number of samples from each unique combination. Additional details regarding the methodology are available in the User Guide and Algorithm Theoretical Basis Document (ATBD). Provided in the CAM5K30CFCLIM product are variables for PCA coefficients, the weights and sample numbers of the climatology coefficients used in the average calculation, sets of the number of PCA coefficients, laboratory version numbers, latitude, longitude, and land flag information. PCA coefficients depend on the lab PC data version and the number of PCs used. proprietary
CAM5K30CF_002 Combined ASTER and MODIS Emissivity database over Land (CAMEL) Coefficient Monthly Global 0.05Deg V002 LPCLOUD STAC Catalog 2000-04-01 2017-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2763266335-LPCLOUD.umm_json The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) Combined ASTER and MODIS Emissivity for Land (CAMEL) dataset provides monthly coefficients at 0.05 degree (~5 kilometer) resolution (CAM5K30CF). The CAMEL Principal Components Analysis (PCA) input coefficients utilized in the CAMEL high spectral resolution (HSR) algorithm are provided in the CAM5K30CF data product and are congruent to the temporally equivalent CAM5K30EM emissivity data product. Additional details regarding the methodology are available in the User Guide and Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/219/cam5k30_v2_user_guide_atbd.pdf). Provided in the CAM5K30CF product are layers for PCA coefficients, number of PCA coefficients, laboratory version, snow fraction derived from MODIS Snow Cover data (MOD10), latitude, longitude, and the CAMEL quality information. PCA coefficients are dependent on the version of lab PC data and number of PCs used. proprietary
CAM5K30CF_003 Combined ASTER and MODIS Emissivity database over Land (CAMEL) Coefficient Monthly Global 0.05Deg V003 LPDAAC_ECS STAC Catalog 2000-03-01 2024-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2600365285-LPDAAC_ECS.umm_json The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) Combined Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Moderate Resolution Imaging Spectroradiometer (MODIS) Emissivity for Land (CAMEL) dataset provides monthly coefficients at 0.05 degree (~5 kilometer) resolution (CAM5K30CF). The CAMEL Principal Components Analysis (PCA) input coefficients utilized in the CAMEL high spectral resolution (HSR) algorithm are provided in the CAM5K30CF data product and are congruent to the temporally equivalent CAM5K30EM (https://doi.org/10.5067/MEaSUREs/LSTE/CAM5K30EM.003) emissivity data product. Additional details regarding the methodology are available in the User Guide and Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/1612/CAMEL_V3_UG_ATBD.pdf). Provided in the CAM5K30CF product are layers for PCA coefficients, number of PCA coefficients, laboratory version, snow fraction derived from MODIS Snow Cover data (MOD10), latitude, longitude, and the CAMEL quality information. PCA coefficients are dependent on the version of lab Principal Component (PC) data and the number of PCs used. proprietary
CAM5K30COVCLIM_003 Combined ASTER and MODIS Emissivity database over Land (CAMEL) Covariances Climatology Monthly Global 0.25Deg V003 LPCLOUD STAC Catalog 2003-01-01 2022-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3274450252-LPCLOUD.umm_json The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Combined Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Moderate Resolution Imaging Spectroradiometer (MODIS) Emissivity for Land (CAMEL) data suite has been expanded to include a monthly global covariances climatology product (CAM5K30COVCLIM). The product is provided at 0.25 degree (~25 kilometer) resolution. The CAMEL covariance product includes the mean and variance of the covariance matrixes created for each month from 2003 through 2021 (19 years) on a 0.25 x 0.25 degree grid of 416 spectral points from the V003 CAMEL Emissivity product (CAM5K30EM). Additional details regarding the methodology are available in the User Guide and Algorithm Theoretical Basis Document (ATBD). Provided in the CAM5K30COVCLIM product are variables for the mean and variance of the emissivity, latitude, longitude, spectral frequencies, and number of observations. proprietary
@@ -4343,7 +4344,7 @@ COOA_0 Coastal Ocean Observation and Analysis (COOA) Gulf of Maine measurements
CORAL_0 CORAL Experiment OB_DAAC STAC Catalog 2014-07-21 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360196-OB_DAAC.umm_json The CORAL experiment is a Earth Venture Suborbital-2 (EVS-2) mission designed to provide an extensive, uniform picture of coral reef composition through the use of the Portable Remote Imaging Spectrometer (PRISM) instrument aboard the Tempus Applied Solutions Gulfstream-IV (G-IV) aircraft combined with a variety of in situ data to identify reef composition and model primary production. The CORAL experiment covers the Mariana Islands, Palau, portions of the Great Barrier Reef, and the Main Hawaiian Islands.INTERNAL LINKSCORAL-PRISM Browser (Aircraft data)EXTERNAL LINKSBIOS CORAL Page proprietary
COROAS-AVHRR AVHRR Sea Surface Temperature for Southwestern Atlantic CEOS_EXTRA STAC Catalog 1992-09-01 -60, -38, -38, -20 https://cmr.earthdata.nasa.gov/search/concepts/C2227456149-CEOS_EXTRA.umm_json Data consisting of AVHRR five channels from satellites NOAA-11 and NOAA-12 and Sea Surface Temperature derived from brightness temperature files through NOAA algorithms. Exchange of data after January 1995. Due to system limitation, files are 512 lines x 512 pixels per line, 8 bits resolution. proprietary
CORONA_SATELLITE_PHOTOS CORONA Satellite Photographs from the U.S. Geological Survey USGS_LTA STAC Catalog 1960-08-01 1972-05-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1220566377-USGS_LTA.umm_json The first generation of U.S. photo intelligence satellites collected more than 860,000 images of the Earth’s surface between 1960 and 1972. The classified military satellite systems code-named CORONA, ARGON, and LANYARD acquired photographic images from space and returned the film to Earth for processing and analysis. The images were originally used for reconnaissance and to produce maps for U.S. intelligence agencies. In 1992, an Environmental Task Force evaluated the application of early satellite data for environmental studies. Since the CORONA, ARGON, and LANYARD data were no longer critical to national security and could be of historical value for global change research, the images were declassified by Executive Order 12951 in 1995. The first successful CORONA mission was launched from Vandenberg Air Force Base in 1960. The satellite acquired photographs with a telescopic camera system and loaded the exposed film into recovery capsules. The capsules or buckets were de-orbited and retrieved by aircraft while the capsules parachuted to earth. The exposed film was developed and the images were analyzed for a range of military applications. The intelligence community used Keyhole (KH) designators to describe system characteristics and accomplishments. The CORONA systems were designated KH-1, KH-2, KH-3, KH-4, KH-4A, and KH-4B. The ARGON systems used the designator KH-5 and the LANYARD systems used KH-6. Mission numbers were a means for indexing the imagery and associated collateral data. A variety of camera systems were used with the satellites. Early systems (KH-1, KH-2, KH-3, and KH-6) carried a single panoramic camera or a single frame camera (KH-5). The later systems (KH-4, KH-4A, and KH-4B) carried two panoramic cameras with a separation angle of 30° with one camera looking forward and the other looking aft. The original film and technical mission-related documents are maintained by the National Archives and Records Administration (NARA). Duplicate film sources held in the USGS EROS Center archive are used to produce digital copies of the imagery. Mathematical calculations based on camera operation and satellite path were used to approximate image coordinates. Since the accuracy of the coordinates varies according to the precision of information used for the derivation, users should inspect the preview image to verify that the area of interest is contained in the selected frame. Users should also note that the images have not been georeferenced. proprietary
-COSMO-SkyMed.full.archive.and.tasking_NA COSMO-SkyMed full archive and tasking ESA STAC Catalog 2008-09-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336822-ESA.umm_json "The archive and new tasking X-band SAR products are available from COSMO-Skymed (CSK) and COSMO-SkyMed Second Generation (CSG) missions in ScanSAR and Stripmap modes, right and left looking acquisition (20 to 60° incidence angle). COSMO-SkyMed modes: Acquisition Mode / Single look Resolution [Az. X. Rg, SCS] (m) / Scene size [Az. X. Rg] (km) / Polarisation / Scene duration (seconds) / Number of looks / Multilook resolution (m) / Geolocation accuracy ±3 s (m) // / / / / / [DGM, GEC, GTC] // Stripmap Himage / 2.6 x 3 / 40 x 40 / Single: HH, HV, VH, VV / 7 / 3 / 5 / 25 // Stripmap PingPong / 9.7 x 11 / 30 x 30 / Alternate: HH/VV, HH/HV, VV/VH / 6 / 3 / 20 / 25 // ScanSAR Wide / 23 x 13.5 / 100 x 100 / Single: HH, HV, VH, VV / 15 / 4 - 9 / 30 / 30 // ScanSAR Huge / 38 x 13.5 / 200 x 200 / Single: HH, HV, VH, VV / 30 / 25 - 66 / 100 / 100 // COSMO-Skymed Second Generation Modes: Acquisition Mode / Single look Resolution [Az. X. Rg, SCS] (m) / Scene size [Az. X. Rg] (km) / Polarisation / Scene duration (seconds) / Number of looks / Multilook resolution (m)10/05/2021 10:28 / Geolocation accuracy ±3 s (m) // / / / / / [DGM, GEC, GTC] // Stripmap / 3 x 3 / 40 x 40 / Single (HH, VV, HV, VH) or Dual (HH+HV, VV+VH) / 7 / 2 x 2; 4 x 4 / 5 x 5; 11 x 11 / 3.75 // Stripmap PingPong / 12 x 5 / 30 x 30 / Alternate (HH/VV, HH/VH-HV/VV) / 6 / 1 x 2; 2 x 5 / 12 x 10; 22 x 25/ 12 // ScanSAR 1 / 20 x 4 / 100 x 100 / Single (HH, VV, HV, VH) or Dual (HH+HV, VV+VH) / 15 / 1 x 3; 1 x 5 / 20 x 13; 23 x 27; 35 x 40 / 12 // ScanSAR 2 / 40 x 6 / 200 x 200 / Single (HH, VV, HV, VH) or Dual (HH+HV, VV+VH) / 30 / 1 x 4; 1 x 7; 3 x 16 / 40 x 27; 47 x 54; 115 x 135 / 12 // Following Processing Levels are available, for both CSK and CSG: - SCS (Level 1A, Single-look Complex Slant): data in complex format, in slant range projection (the sensor's natural acquisition projection) and zero doppler projection, weighted and radiometrically equalised; the coverage corresponds to the full resolution area illuminated by the SAR instrument - DGM (Level 1B, Detected Ground Multi-look): product obtained detecting, multi-looking and projecting the Single-look Complex Slant data onto a grid regular in ground: it contains focused data, amplitude detected, optionally despeckled by multi-looking approach, radiometrically equalised and represented in ground/azimuth projection - GEC (Level 1C, Geocoded Ellipsoid Corrected): focused data, amplitude detected, optionally despeckled by multi-looking approach, geolocated on the reference ellipsoid and represented in a uniform preselected cartographic presentation. Any geometric correction derived by usage of terrain model isn't applied to this product by default - GTC (Level 1D, Geocoded Terrain Corrected): focused data, fully calibrated with the usage of terrain model, amplitude detected, optionally despeckled by multi-looking approach, geolocated on a DEM and represented in a uniform preselected cartographic presentation. The image scene is located and accurately rectified onto a map projection, through the use of Ground Control Points (GCPs) and Digital Elevation Model (DEM); it differs from GEC for the use of the DEM (instead of reference ellipsoid) for the accurate conversion from slant to ground range and to approximate the real earth surface The list of available data can be retrieved using the _$$CLEOS COSMO-SkyMed products catalogue$$ https://www.cleos.earth/ . User registration is requested to navigate the catalogue." proprietary
+COSMO-SkyMed.full.archive.and.tasking_8.0 COSMO-SkyMed full archive and tasking ESA STAC Catalog 2008-09-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336822-ESA.umm_json "The archive and new tasking X-band SAR products are available from COSMO-Skymed (CSK) and COSMO-SkyMed Second Generation (CSG) missions in ScanSAR and Stripmap modes, right and left looking acquisition (20 to 60° incidence angle). COSMO-SkyMed modes: Acquisition Mode / Single look Resolution [Az. X. Rg, SCS] (m) / Scene size [Az. X. Rg] (km) / Polarisation / Scene duration (seconds) / Number of looks / Multilook resolution (m) / Geolocation accuracy ±3 s (m) // / / / / / [DGM, GEC, GTC] // Stripmap Himage / 2.6 x 3 / 40 x 40 / Single: HH, HV, VH, VV / 7 / 3 / 5 / 25 // Stripmap PingPong / 9.7 x 11 / 30 x 30 / Alternate: HH/VV, HH/HV, VV/VH / 6 / 3 / 20 / 25 // ScanSAR Wide / 23 x 13.5 / 100 x 100 / Single: HH, HV, VH, VV / 15 / 4 - 9 / 30 / 30 // ScanSAR Huge / 38 x 13.5 / 200 x 200 / Single: HH, HV, VH, VV / 30 / 25 - 66 / 100 / 100 // COSMO-Skymed Second Generation Modes: Acquisition Mode / Single look Resolution [Az. X. Rg, SCS] (m) / Scene size [Az. X. Rg] (km) / Polarisation / Scene duration (seconds) / Number of looks / Multilook resolution (m) / Geolocation accuracy ±3 s (m) // / / / / / [DGM, GEC, GTC] // Stripmap / 3 x 3 / 40 x 40 / Single (HH, VV, HV, VH) or Dual (HH+HV, VV+VH) / 7 / 2 x 2; 4 x 4 / 6 x 7 ; 11 x 14 / 3.75 // Stripmap PingPong / 12 x 5 / 30 x 30 / Alternate (HH/VV, HH/VH-HV/VV) / 6 / 1 x 2; 2 x 5 / 12 x 10; 23 x 26 / 12 // QuadPol / 3 x 3 / 40 x 15 / Quad(HH+HV+VV+VH) / n/a / 2 x 2; 4 x 4 / 6 x 7 ; 11 x 14 / 3.75 // ScanSAR 1 / 20 x 4 / 100 x 100 / Single (HH, VV, HV, VH) or Dual (HH+HV, VV+VH) / 15 / 1 x 3; 1 x 5 ; 2 x 8 / 20 x 14; 23 x 27; 35 x 40 / 12 // ScanSAR 2 / 40 x 6 / 200 x 200 / Single (HH, VV, HV, VH) or Dual (HH+HV, VV+VH) / 30 / 1 x 4; 1 x 7; 3 x 16 / 40 x 27; 47 x 54; 115 x 135 / 12 // Following Processing Levels are available, for both CSK and CSG: - SCS (Level 1A, Single-look Complex Slant): data in complex format, in slant range projection (the sensor's natural acquisition projection) and zero doppler projection, weighted and radiometrically equalised; the coverage corresponds to the full resolution area illuminated by the SAR instrument - DGM (Level 1B, Detected Ground Multi-look): product obtained detecting, multi-looking and projecting the Single-look Complex Slant data onto a grid regular in ground: it contains focused data, amplitude detected, optionally despeckled by multi-looking approach, radiometrically equalised and represented in ground/azimuth projection - GEC (Level 1C, Geocoded Ellipsoid Corrected): focused data, amplitude detected, optionally despeckled by multi-looking approach, geolocated on the reference ellipsoid and represented in a uniform preselected cartographic presentation. Any geometric correction derived by usage of terrain model isn't applied to this product by default - GTC (Level 1D, Geocoded Terrain Corrected): focused data, fully calibrated with the usage of terrain model, amplitude detected, optionally despeckled by multi-looking approach, geolocated on a DEM and represented in a uniform preselected cartographic presentation. The image scene is located and accurately rectified onto a map projection, through the use of Ground Control Points (GCPs) and Digital Elevation Model (DEM); it differs from GEC for the use of the DEM (instead of reference ellipsoid) for the accurate conversion from slant to ground range and to approximate the real earth surface The list of available data can be retrieved using the _$$CLEOS COSMO-SkyMed products catalogue$$ https://www.cleos.earth/ . User registration is requested to navigate the catalogue." proprietary
COWVR_STPH8_L1_TSDR_V10.0_10.0 COWVR STP-H8 Antenna and Microwave Brightness Temperatures Version 10.0 POCLOUD STAC Catalog 2022-01-08 -180, -61, 180, 61 https://cmr.earthdata.nasa.gov/search/concepts/C3237785963-POCLOUD.umm_json This data set includes satellite-based observations of calibrated, geo-located antenna temperature and brightness temperatures, along with the sensor telemetry used to derive those values. Brightness temperatures are derived from the microwave band frequencies 18.7 GHz, 23.8 GHz, and 34.5 GHz. This product is best suited for a cal/val user or sensor expert. These level 1c measurements make up the temperature sensor data record (TSDR) from the COWVR (Compact Ocean Wind Vector Radiometer) sensor aboard the international space station (ISS), starting in January 2022 forward-streaming to PO.DAAC till the planned mission end in December 2024. Its swath width is 1012 km and spatial resolution is <35 km. Data files in HDF5 format are available at roughly hourly frequency (the ISS orbit period is ~90 minutes), although note that the coverage shown in the thumbnail is for a full day. Files include calibration and flag data in addition to brightness temperatures. Version 10.0 is the first public release, and is named as such to be consistent with the internal version numbers of the project team prior to release
The COWVR sensor is a fully polarimetric, conically imaging microwave radiometer for measuring ocean surface wind vectors. It operates nominally on-orbit aboard the ISS and data are non-sun-synchronous. It was deployed as part of the Space Test Program - Houston 8 (STP-H8) technology demonstration mission. A successful COWVR mission will demonstrate a lower-cost sensor architecture (e.g. in comparison to WindSat) for providing imaging passive microwave data, including ocean surface vector wind products for the Department of Defense (DoD). COWVR was provided by the Jet Propulsion Laboratory and flown by the United States Space Force, Space Systems Command, Development Corps for Innovation and Prototyping. proprietary
COWVR_STPH8_L2_EDR_V10.0_10.0 COWVR STP-H8 Surface Wind Vector and Column-Integrated Atmospheric Water Measurements Version 10.0 POCLOUD STAC Catalog 2022-01-08 -180, -61, 180, 61 https://cmr.earthdata.nasa.gov/search/concepts/C3237678855-POCLOUD.umm_json This dataset includes satellite-based observations of geolocated surface wind vectors, precipitable water vapor, and integrated cloud liquid water, as well as the microwave brightness temperatures used to derive them. Theses measurements make up the environmental data record (EDR) from the COWVR (Compact Ocean Wind Vector Radiometer) sensor aboard the international space station (ISS), beginning in January 2022 with forward-streaming to PO.DAAC. Data over the satellite swath are available in HDF5 format with roughly one file per hour (the ISS orbit period is ~90 minutes), and coverage shown in the thumbnail is for a full day. Spatial resolution is roughly 35 km. The file metadata formats may be different than what an average user is familiar with – please see the User Guide to learn more. Version 10.0 is the first public release, and is named as such to be consistent with the internal version numbering of the project team prior to release.
The COWVR sensor is a fully polarimetric, conically imaging microwave radiometer for measuring ocean surface wind vectors. It operates nominally on-orbit aboard the ISS and data are non-sun-synchronous. It was deployed as part of the Space Test Program - Houston 8 (STP-H8) technology demonstration mission. A successful COWVR mission will demonstrate a lower-cost sensor architecture (e.g. in comparison to WindSat) for providing imaging passive microwave data, including ocean surface vector wind products for the Department of Defense (DoD). COWVR was provided by the Jet Propulsion Laboratory and flown by the United States Space Force, Space Systems Command, Development Corps for Innovation and Prototyping. proprietary
CPEXAW-ADM-Aeolus_1 CPEX-AW ADM-Aeolus Datasets LARC_ASDC STAC Catalog 2021-08-06 2021-09-17 -125, 11, -45, 35 https://cmr.earthdata.nasa.gov/search/concepts/C2404262719-LARC_ASDC.umm_json CPEXAW-ADM-Aeolus_1 is the ESA ADM-Aeolus Datasets for the Convective Processes Experiment - Aerosols & Winds (CPEX-AW) sub-orbital campaign. Data collection for this product is complete. The Convective Processes Experiment – Aerosols & Winds (CPEX-AW) campaign was a joint effort between the US National Aeronautics and Space Administration (NASA) and the European Space Agency (ESA) with the primary goal of conducting a post-launch calibration and validation activities of the Atmospheric Dynamics Mission-Aeolus (ADM-AEOLUS) Earth observation wind Lidar satellite in St. Croix. CPEX-AW is a follow-on to the Convective Processes Experiment (CPEX) field campaign which took place in the summer of 2017. In addition to joint calibration/validation of ADM-AEOLUS, CPEX-AW studied the dynamics related to the Saharan Air Layer, African Easterly Waves and Jets, Tropical Easterly Jet, and deep convection in the InterTropical Convergence Zone (ITCZ). CPEX-AW science goals include: • Better understanding interactions of convective cloud systems and tropospheric winds as part of the joint NASA-ESA Aeolus Cal/Val effort over the tropical Atlantic; • Observing the vertical structure and variability of the marine boundary layer in relation to initiation and lifecycle of the convective cloud systems, convective processes (e.g., cold pools), and environmental conditions within and across the ITCZ; • Investigating how the African easterly waves and dry air and dust associated with Sahara Air Layer control the convectively suppressed and active periods of the ITCZ; • Investigating interactions of wind, aerosol, clouds, and precipitation and effects on long range dust transport and air quality over the western Atlantic. In order to successfully achieve the objectives of the campaign, NASA deployed its DC-8 aircraft equipped with an Airborne Third Generation Precipitation Radar (APR-3), Doppler Aerosol WiNd Lidar (DAWN), High Altitude Lidar Observatory (HALO), High Altitude Monolithic Microwave Integrated Circuit (MMIC) Sounding Radiometer (HAMSR), and dropsondes. This campaign aims to provide useful material to atmospheric scientists, meteorologists, lidar experts, air quality experts, professors, and students. The Atmospheric Science Data Center (ASDC) archives the dropsonde, HALO, and DAWN data products for CPEX-AW. For additional datasets please visit the Global Hydrometeorology Resource Center (GHRC). proprietary
@@ -4464,8 +4465,8 @@ Carbon_Estuaries_0 Carbon Cycling to Climatic and Anthropogenic Perturbations in
Carbon_Transport_MS_River_0 Carbon transport in the Mississippi River OB_DAAC STAC Catalog 2001-05-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360175-OB_DAAC.umm_json Measurements made near the Mississippi River outflow region in the Gulf of Mexico between 2001 and 2003. proprietary
Carbon_UAV_0 Carbon Dynamics in Seagrass and Coral Reef Biomes in the Florida Keys OB_DAAC STAC Catalog 2012-10-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360176-OB_DAAC.umm_json Measurements made under the High Resolution Assessment of Carbon Dynamics in Seagrass and Coral Reef Biomes, in the Florida Keys. proprietary
Cartagena_Station_0 Antares Cartagena station, Colombia OB_DAAC STAC Catalog 2012-09-06 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360180-OB_DAAC.umm_json Antares Cartagena station is located 10 km offshore, across from the Cartagena Bay/Caribbean Sea at 75° 36'W, 10° 22'N in Cartagena, Colombia. Activities in the station are coordinated by the General Maritime Directorate for the Caribbean Oceanographic and Hydrographic Research Center (CIOH).Activities at Antares Cartagena Station started in 2008 when the CIOH joined the ANTARES monitoring network (see http://www.antares.ws/?p=station.php&st=7). The CIOH has measured in situ CTD temprature, pressure, salinity, oxygen and fluorescence. Additionally, water samples are taken at discrete depths with Niskin bottles and temperature, salinity, oxygen and pH are measured through multiparameter probe.Assays for determining chlorophyll, planktonic community analysis, determination of nutrients (nitrate, nitrite, ammonium, orthophosphates and silicates) and SST, are performed in CIOH's laboratory which is accredited under NTC ISO / IEC 17025:2001 for physic-chemical analysis of marine and estuarine waters. proprietary
-CartoSat-1.archive.and.Euro-Maps.3D.Digital.Surface.Model_NA CartoSat-1 archive and Euro-Maps 3D Digital Surface Model ESA STAC Catalog 2005-06-01 2019-02-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336823-ESA.umm_json CartoSat-1 (also known as IRS-P5) archive products are available as PAN-Aft (backward), PAN-Fore (forward) and Stereo (PAN-Aft and PAN-Fore). - Sensor: PAN - Products: PAN-Aft (backward), PAN-Fore (forward), Stereo (PAN-Aft+PAN-Fore) - Type: Panchromatic - Resolution (m): 2.5 - Coverage (km x km): 27 x 27 - System or radiometrically corrected - Ortho corrected (DN) - Neustralitz archive: 2007 - 2016 - Global archive: 2005 - 2019 Note: - Resolution 2.5 m. - Coverage 27 km x 27 km. - System or radiometrically corrected. For Ortho corrected products: If unavailable, user has to supply ground control information and DEM in suitable quality, - For Stereo ortho corrected: only one of the datasets will be ortho corrected. Euro-Maps 3D is a homogeneous, 5 m spaced digital surface model (DSM) semi-automatically derived from 2.5 m in-flight stereo data provided by IRS-P5 CartoSat-1 and developed in cooperation with the German Aerospace Center, DLR. The very detailed and accurate representation of the surface is achieved by using a sophisticated and well adapted algorithm implemented on the basis of the Semi-Global Matching approach. In addition, the final product includes detailed flanking information consisting of several pixel-based quality and traceability layers also including an ortho layer. Product Overview: - Post spacing: 5m - Spatial reference system: DD, UTM or other projections on WGS84 - Height reference system: EGM96 - Absolute vertical accuracy: LE90 5-10 m - Absolute Horizontal Accuracy: CE90 5-10 m - Relative vertical accuracy: LE90 2.5 m - File format: GeoTIFF, 16 bit - Tiling: 0.5° x 0.5° - Ortho Layer Pixel Size: 2.5 m The CartoSat-1 products and Euro-Maps 3D are available as part of the GAF Imagery products from the Indian missions: IRS-1C, IRS-1D, CartoSat-1 (IRS-P5), ResourceSat-1 (IRS-P6) and ResourceSat-2 (IRS-R2) missions. ‘Cartosat-1 archive’ collection has worldwide coverage: for data acquired over Neustrelitz footprint, the users can browse the EOWEB GeoPortal catalogue (http://www.euromap.de/products/serv_003.html) to search archived products; worldwide data (out the Neustrelitz footprint) as well as Euro-Maps 3D DSM products can be requested by contacting GAF user support to check the readiness since no catalogue is available. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. proprietary
-Cartosat-1.Euro-Maps.3D_NA Cartosat-1 Euro-Maps 3D ESA STAC Catalog 2019-11-12 2020-04-08 -19, -26, 35, 66 https://cmr.earthdata.nasa.gov/search/concepts/C2547572699-ESA.umm_json "A large number of European cities are covered by this dataset; for each city you can find one or more Euro-Maps 3D DSM products and one or more ortho images, both obtained from IRS-P5 Cartosat-1 imagery The Euro-Maps 3D DSM data is a homogeneous, 5 m spaced Digital Surface Model semi-automatically derived from 2.5 m in-flight stereo data with a vertical accuracy of 10m. The very detailed and accurate representation of the surface is achieved by using a sophisticated and well adapted algorithm implemented on the basis of the Semi-Global Matching approach. The final product includes several pixel-based quality and traceability layers: • The dsm layer (dsm.tif) contains the elevation heights as a geocoded raster file • The source layer (src.tif) contains information about the data source for each height value/pixel • The number layer (num.tif) contains for each height value/pixel the number of IRS-P5 Cartosat-1 stereo pairs used for the generation of the DEM • The quality layer (qc.tif) is set to 1 for each height/pixel value derived from IRS-P5 Cartosat-1 data and which meets or exceeds the product specifications • The accuracy vertical layer (acv.tif) contains the absolute vertical accuracy for each quality controlled height value/pixel. The ortho image is a Panchromatic image at 2.5m resolution. The following table defines the offered product types EO-SIP product type Description PAN_PAM_3O IRS-P5 Cartosat-1 ortho image DSM_DEM_3D IRS-P5 Cartosat-1 DSM" proprietary
+CartoSat-1.archive.and.Euro-Maps.3D.Digital.Surface.Model_6.0 CartoSat-1 archive and Euro-Maps 3D Digital Surface Model ESA STAC Catalog 2005-06-01 2019-02-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336823-ESA.umm_json CartoSat-1 (also known as IRS-P5) archive products are available as PAN-Aft (backward), PAN-Fore (forward) and Stereo (PAN-Aft and PAN-Fore). - Sensor: PAN - Products: PAN-Aft (backward), PAN-Fore (forward), Stereo (PAN-Aft+PAN-Fore) - Type: Panchromatic - Resolution (m): 2.5 - Coverage (km x km): 27 x 27 - System or radiometrically corrected - Ortho corrected (DN) - Neustralitz archive: 2007 - 2016 - Global archive: 2005 - 2019 Note: - Resolution 2.5 m. - Coverage 27 km x 27 km. - System or radiometrically corrected. For Ortho corrected products: If unavailable, user has to supply ground control information and DEM in suitable quality, - For Stereo ortho corrected: only one of the datasets will be ortho corrected. Euro-Maps 3D is a homogeneous, 5 m spaced digital surface model (DSM) semi-automatically derived from 2.5 m in-flight stereo data provided by IRS-P5 CartoSat-1 and developed in cooperation with the German Aerospace Center, DLR. The very detailed and accurate representation of the surface is achieved by using a sophisticated and well adapted algorithm implemented on the basis of the Semi-Global Matching approach. In addition, the final product includes detailed flanking information consisting of several pixel-based quality and traceability layers also including an ortho layer. Product Overview: - Post spacing: 5m - Spatial reference system: DD, UTM or other projections on WGS84 - Height reference system: EGM96 - Absolute vertical accuracy: LE90 5-10 m - Absolute Horizontal Accuracy: CE90 5-10 m - Relative vertical accuracy: LE90 2.5 m - File format: GeoTIFF, 16 bit - Tiling: 0.5° x 0.5° - Ortho Layer Pixel Size: 2.5 m The CartoSat-1 products and Euro-Maps 3D are available as part of the GAF Imagery products from the Indian missions: IRS-1C, IRS-1D, CartoSat-1 (IRS-P5), ResourceSat-1 (IRS-P6) and ResourceSat-2 (IRS-R2) missions. ‘Cartosat-1 archive’ collection has worldwide coverage: for data acquired over Neustrelitz footprint, the users can browse the EOWEB GeoPortal catalogue (http://www.euromap.de/products/serv_003.html) to search archived products; worldwide data (out the Neustrelitz footprint) as well as Euro-Maps 3D DSM products can be requested by contacting GAF user support to check the readiness since no catalogue is available. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. proprietary
+Cartosat-1.Euro-Maps.3D_7.0 Cartosat-1 Euro-Maps 3D ESA STAC Catalog 2019-11-12 2022-11-08 -33, 27, 47, 72 https://cmr.earthdata.nasa.gov/search/concepts/C2547572699-ESA.umm_json "A large number of European cities are covered by this dataset; for each city you can find one or more Cartosat-1 ortho image products and one or more Euro-Maps 3D DSM tiles clipped to the extent of the ortho coverage. The Euro-Maps 3D DSM is a homogeneous, 5 m spaced Digital Surface Model semi-automatically derived from 2.5 m Cartosat-1 in-flight stereo data with a vertical accuracy of 10 m. The very detailed and accurate representation of the surface is achieved by using a sophisticated and well adapted algorithm implemented on the basis of the Semi-Global Matching approach. The final product includes several pixel-based quality and traceability layers: The dsm layer (*_dsm.tif) contains the elevation heights as a geocoded raster file The source layer (*_src.tif) contains information about the data source for each height value/pixel The number layer (*_num.tif) contains for each height value/pixel the number of IRS-P5 Cartosat-1 stereo pairs used for the generation of the DEM The quality layer (*_qc.tif) is set to 1 for each height/pixel value derived from IRS-P5 Cartosat-1 data and which meets or exceeds the product specifications The accuracy vertical layer (*_acv.tif) contains the absolute vertical accuracy for each quality controlled height value/pixel. The ortho image is a Panchromatic image at 2.5 m resolution. The following table defines the offered product types. EO-SIP product type Description PAN_PAM_3O IRS-P5 Cartosat-1 ortho image DSM_DEM_3D IRS-P5 Cartosat-1 DSM" proprietary
Casey_Tide_Gauges_2 Casey Tide Gauge Data 1996-2007 AU_AADC STAC Catalog 1996-03-01 2007-11-07 110.49843, -66.29034, 110.54375, -66.2699 https://cmr.earthdata.nasa.gov/search/concepts/C1667368851-AU_AADC.umm_json "Over time there have been a number of tide gauges deployed at Casey Station, Antarctica. The data download files contain further information about the gauges, but some of the information has been summarised here. Note that this metadata record only describes tide gauge data from 1996 to 2007. More recent data are described elsewhere. Old Tide Gauge 2 (TG002_Old) Oldtg02 is a download from the first gauge submerged deployed at Casey in 1992. This gauge was lost but later recovered standing upright in the mud. The gauge overwrote its memory and stopped. The record runs from 02/04/97 to 08/09/99. It is highly probable that the position of the gauge was stable during this period. There is data from the same period from gauge TG06. Tide Gauge 2 (TG002) These folders contain data downloaded from the redeployed gauge TG02. TG02 was redeployed in November 2003. The Record runs from 12/11/03 to 4/3/05. It is expected that data will be downloaded from this gauge for the next 4-5 years. This gauge was deployed after the previously deployed gauge ran out of battery energy. There is therefore a substantial gap in the record prior to 12/11/03. Tide Gauge 6 (TG006) Tg06 was deployed at Casey in March 1996. The battery became exhausted in June 2003. The gauge was replaced by TG02 in Novenber 2003. There is therefore a gap in the data between June and November 2003. Tide Gauges 33, 34 and 36 (TG033, TG034, TGA001, TG036) There are two wharf pressure sensors at Casey separated vertically by 2.007 m. There is also a barometer in the wharf hut. The files in this folder are from the old tide gauge data loggers. There are three loggers, TG33 records pressures from lower water pressure gauge as 30 second average values (absolute pressure mbar). It also records wharf tube water temperatures. This logger also streams 30sec average pressure. TG34 records pressures from upper water pressure gauge. This logger also streams 30sec average values as and 10minute average water pressure data. TGA01 (and later replaced by TG36) records air pressure as 10 minute average values in mbar. Further documentation from the old metadata records: Documentation dated 2001-03-07 Casey Submerged Tide Gauge The gauge used at Casey was designed in 1991/2 by Platypus Engineering, Hobart, Tasmania. It was intended to be submerged in about 7 metres of water in a purpose made concrete mooring in the shape of a truncated pyramid. The gauge measures pressure using a Paroscientific Digiquartz Pressure Transducer with a full scale pressure of 30 psi absolute. The accuracy of the transducer is 1 in 10,000 of full scale over the calibrated temperature. The overall accuracy of the system is better than +/- 3 mm for a known water density. Data is retrieved from the gauges by lowering a coil assembly on the end of a cable over a projecting knob on the top of the gauge and by use of an interface unit, a serial connection can be established to the gauge. Time setting and data retrieval can be then achieved. One of these of these gauges was deployed at Casey in early 1992 in a mooring in Geoffrey Bay. The mooring was apparently moved by sea ice and was later found, but the gauge is missing. A new mooring, one which was originally made for Harry Burton for use in one of the Vestfold Hills lakes, was taken by ship to Casey and was placed in Geoffrey Bay using a collection of 200 litre fuel drum to float the mooring into position. A new gauge was deployed in March 1996. The gauge was lowered into position with the holding grab wired closed to check that the device fitted in the mooring. The gauge became jammed so was left in situ with the grab preventing access to downloading. In April that year Roger Handsworth attached weights to the floating ropes of the grab to sink them out of the way of the freezing surface water. Divers located the mooring and gauge in late 1997 and 22 months of tidal records were retrieved. The gauge was restarted to clear the memory and allow another two years of data to be collected without any problems from a small software bug. Conversion of raw data to tidal records is done as detailed in document DATAFORMAT1.DOC . Levelling In December 1997 a set of water level observations were made by the station leader. These observations have been sent to National Tidal Facility, Flinders University, SA to derive a value for mean sea level. Documentation dated 2008-10-17 There is one submerged bottom mounted gauge at Casey. (TG02) The wharf based tide gauge installation at Casey has been upgraded with 2 Campbell Scientific CR1000 dataloggers. One logger (Main) receives signals from two wharf installed submerged Paroscientific Digiquartz pressure sensors and a barometer. The other logger (Backup) receives signals from only the two submerged sensors. Pressures are recorded in hPa, temperatures from the Digiquartz sensors in degrees C and temperatures from thermistors in the water column in unscaled A/D values. The two submerged pressure sensors are separated vertically by 2.007 metre. The backup logger streams 30 second average pressure values from both submerged sensors. The main datalogger records 3 pressure and 6 temperatures and controls the water heaters. " proprietary
Catlin_Arctic_Survey_0 2011 R/V Catlin cruise in the Arctic Ocean OB_DAAC STAC Catalog 2011-03-17 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360181-OB_DAAC.umm_json Measurements made in the Arctic Ocean by the RV Catlin in 2011. proprietary
ChesBay_0 Water quality measurements in the Chesapeake Bay OB_DAAC STAC Catalog 2015-07-22 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360189-OB_DAAC.umm_json Water quality measurements taken in the Chesapeake Bay region of the United States as a joint effort between NASA GSFC and Johns Hopkins University. proprietary
@@ -4494,7 +4495,7 @@ Cosmic_Ray_NM_1 Cosmic Ray Neutron Monitor Data, Antarctica and Tasmania AU_AADC
Cosmic_Ray_PW_1 Cosmic Ray Associated Atmospheric Pressure and Wind Speed Records, Antarctica AU_AADC STAC Catalog 1950-01-01 62, -67, 159, -54 https://cmr.earthdata.nasa.gov/search/concepts/C1214313427-AU_AADC.umm_json Records of atmospheric pressure and wind speed used in conjunction with cosmic ray data recorded at corresponding Antarctic cosmic ray observatories. Data has been collected from Australian Antarctic cosmic ray observatories during operational times at Macquarie Island, Casey, Wilkes and Mawson. Individual observatory operating periods are available on request. proprietary
Cosmic_Ray_SM_1 Cosmic Ray Surface Muon Data, Antarctica AU_AADC STAC Catalog 1950-04-01 62, -67, 159, -54 https://cmr.earthdata.nasa.gov/search/concepts/C1214308508-AU_AADC.umm_json Data have been collected from muon detectors in cosmic ray observatories/laboratories at Macquarie Island, Wilkes, Casey and Mawson. Data have been collected from varied detectors and detecting systems, specific operational times and detector information are available on request. This dataset contains normalised counting rate records from the combined north/south pointing proportional counter telescopes P2 and P3 in low and high zenith angle modes, corrected for atmospheric pressure variation. No correction has been made for height or temperature of the 125mb level resulting in a significant seasonal variation but no diurnal variation at Antarctic latitudes. The telescope output consists of the sum of the 2-fold coincidence counting rates. Coincidence counts from individual counter pairs are summed into thirteen possible arrival zenith angles and two arrival directions (north or south). The low zenith data are hourly sums of coincidences from the seven lowest zenith angles of arrival (34 degrees -51 degrees) and the high zenith data are hourly sums of coincidences of the remaining six zenith angles of arrival (55 degrees -79 degrees). The accidental rate is removed from the total coincidence rate using a resolving time difference method (See Jacklyn R M and Duldig M L, 20th Int. Cosmic Ray Conf. Papers, Moscow, Vol 4, pp. 380-383, 1987). Further information is also provided in ANARE Research Notes 102, 50 Years of cosmic ray research in Tasmania. A copy of this research note is available for download from the provided URL. proprietary
Cosmic_Ray_UGM_1 Cosmic Ray Underground Muon Data, Mawson, Antarctica AU_AADC STAC Catalog 1972-01-01 62, -67, 63, -66 https://cmr.earthdata.nasa.gov/search/concepts/C1214308430-AU_AADC.umm_json Hourly muon data collected from detectors housed in an underground (11 m.w.e.) vault at Mawson. Data are recorded from two viewing directions: (a) North - Zenith 24 deg., Azimuth 330 deg (P6, P7) and (b) South-West - Zenith 40 deg, Azimuth 205 deg (P9, P10). Data are available in raw form or count rates that have been corrected for atmospheric pressure variations. Detecting methods range from geiger counter telescopes, installed in 1972, to proportional counter telescopes, installed in 1982 and still in operation. This data contain normalised counting rate records from the combined north pointing proportional counter telescopes P6 and P7 and the southwest pointing proportional counter telescopes P9 and P10, corrected for atmospheric pressure variation. The telescope output consists of the sum of the 2-fold coincidence counting rates from two identical modules. The accidental rate is removed from the total coincidence rate using a resolving time difference method (See Jacklyn R M and Duldig M L, 20th Int. Cosmic Ray Conf. Papers, Moscow, Vol 4, pp. 380-383, 1987). Further information is also provided in ANARE Research Notes 102, 50 Years of cosmic ray research in Tasmania. A copy of this research note is available for download from the provided URL. proprietary
-CosmoSkyMed_NA COSMO-SkyMed ESA archive ESA STAC Catalog 2008-09-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2207498771-ESA.umm_json The COSMO-SkyMed ESA archive collection is a dataset of COSMO-SkyMed products that ESA collected over the years with worldwide coverage. The dataset regularly grows as ESA collects new products. The following list delineates the characteristics of the SAR measurement modes that are disseminated under ESA Third Party Missions (TPM). - STRIPMAP HIMAGE (HIM): achieving medium resolution (3m x 3m single look), wide swath imaging (swath extension ≥40 km) . - STRIPMAP PINGPONG (SPP): achieving medium resolution (15 m)), medium swath imaging (swath ≥30 km) with two radar polarization's selectable among HH, HV, VH and VV. - SCANSAR WIDE (SCW): achieving radar imaging with swath extension of 100x100 km2 and a spatial resolution of 30x30 m2. - SCANSAR HUGE (SCH): achieving radar imaging with swath extension of 200x200 km2 and a spatial resolution selectable of 100x100 m2. Processing Levels: - Level 1A - Single-look Complex Slant (SCSB and SCSU) : RAW data focused in slant range-azimuth projection, that is the sensor natural acquisition projection; product contains In-Phase and Quadrature of the focused data, weighted and radiometrically equalised. The processing of the 1A_SCSU product differs from that of the 1A_SCSB product for the following features: a non-weighted processing is performed, which means that windowing isn't applied on the processed bandwidth; radiometric equalisation (in terms of compensation of the range antenna pattern and incidence angle) is not performed; hence only compensation of the antenna transmitter gain and receiver attenuation and range spreading loss is applied.• Level 1B - Detected Ground Multi-look (DGM): product obtained detecting, multi-looking and projecting the Single-look Complex Slant data onto a grid regular in ground. Spotlight Mode products are not multi-looked - Level 1C - Geocoded Ellipsoid Corrected (GEC) and Level 1D - Geocoded Terrain Corrected (GTC): Obtained projecting the Level 1A product onto a regular grid in a chosen cartographic reference system. In case of Lev 1C the surface is the earth ellipsoid while for the Lev 1D a DEM (Digital Elevation Model) is used to approximate the real earth surface. Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/smcat/CosmoSkyMed/ available on the Third Party Missions Dissemination Service. proprietary
+CosmoSkyMed_9.0 COSMO-SkyMed ESA archive ESA STAC Catalog 2008-09-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2207498771-ESA.umm_json The COSMO-SkyMed ESA archive collection is a dataset of COSMO-SkyMed products that ESA collected over the years with worldwide coverage. The dataset regularly grows as ESA collects new products. The following list delineates the characteristics of the SAR measurement modes that are disseminated under ESA Third Party Missions (TPM). - STRIPMAP HIMAGE (HIM): achieving medium resolution (3m x 3m single look), wide swath imaging (swath extension ≥40 km) . - STRIPMAP PINGPONG (SPP): achieving medium resolution (15 m)), medium swath imaging (swath ≥30 km) with two radar polarization's selectable among HH, HV, VH and VV. - SCANSAR WIDE (SCW): achieving radar imaging with swath extension of 100x100 km2 and a spatial resolution of 30x30 m2. - SCANSAR HUGE (SCH): achieving radar imaging with swath extension of 200x200 km2 and a spatial resolution selectable of 100x100 m2. Processing Levels: - Level 1A - Single-look Complex Slant (SCSB and SCSU) : RAW data focused in slant range-azimuth projection, that is the sensor natural acquisition projection; product contains In-Phase and Quadrature of the focused data, weighted and radiometrically equalised. The processing of the 1A_SCSU product differs from that of the 1A_SCSB product for the following features: a non-weighted processing is performed, which means that windowing isn't applied on the processed bandwidth; radiometric equalisation (in terms of compensation of the range antenna pattern and incidence angle) is not performed; hence only compensation of the antenna transmitter gain and receiver attenuation and range spreading loss is applied.• Level 1B - Detected Ground Multi-look (DGM): product obtained detecting, multi-looking and projecting the Single-look Complex Slant data onto a grid regular in ground. Spotlight Mode products are not multi-looked - Level 1C - Geocoded Ellipsoid Corrected (GEC) and Level 1D - Geocoded Terrain Corrected (GTC): Obtained projecting the Level 1A product onto a regular grid in a chosen cartographic reference system. In case of Lev 1C the surface is the earth ellipsoid while for the Lev 1D a DEM (Digital Elevation Model) is used to approximate the real earth surface. Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/smcat/CosmoSkyMed/ available on the Third Party Missions Dissemination Service. proprietary
Country_SOC_Latin_America_1615_1 Soil Organic Carbon Stock Estimates with Uncertainty across Latin America ORNL_CLOUD STAC Catalog 2018-06-14 2018-06-14 -121.29, -58.58, -31.24, 35.56 https://cmr.earthdata.nasa.gov/search/concepts/C2389081666-ORNL_CLOUD.umm_json This dataset provides 5 x 5 km gridded estimates of soil organic carbon (SOC) across Latin America that were derived from existing point soil characterization data and compiled environmental prediction factors for SOC. This dataset is representative for the period between 1980 to 2000s corresponding with the highest density of observations available in the WoSIS system and the covariates used as prediction factors for soil organic carbon across Latin America. SOC stocks (kg/m2) were estimated for the SOC and bulk density point measurements and a spatially explicit measure of the SOC estimation error was also calculated. A modeling ensemble, using a linear combination of five statistical methods (regression Kriging, random forest, kernel weighted nearest neighbors, partial least squared regression and support vector machines) was applied to the SOC stock data at (1) country-specific and (2) regional scales to develop gridded SOC estimates (kg/m2) for all of Latin America. Uncertainty estimates are provided for the two model predictions based on independent model residuals and their full conditional response to the SOC prediction factors. proprietary
CramerLeemans_416_1 Global 30-Year Mean Monthly Climatology, 1930-1960, V2.1 (Cramer and Leeman) ORNL_CLOUD STAC Catalog 1930-01-01 1960-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2780740663-ORNL_CLOUD.umm_json This database is a major update of the Leemans and Cramer database. It currently contains monthly averages of mean temperature, temperature range, precipitation, rain days and sunshine hours for the terrestrial surface of the globe, gridded at 0.5 degree longitude/latitude resolution. It was generated from a large data base, using the partial thin-plate splining algorithm. proprietary
Cropland_Carbon_Fluxes_2125_1 Ecosys Model-Estimated Cropland Carbon Fluxes, Illinois, Indiana, and Iowa, 2001-2018 ORNL_CLOUD STAC Catalog 2001-01-01 2018-12-31 -96.64, 36.97, -84.78, 43.5 https://cmr.earthdata.nasa.gov/search/concepts/C2732596448-ORNL_CLOUD.umm_json "This dataset contains daily estimates of carbon fluxes in croplands derived from the ""ecosys"" model covering a portion of the Midwestern US (Illinois, Indiana, and Iowa) at county-level resolution from 2001-2018. Ecosys simulates water, energy, carbon, and nutrient cycles simultaneously for various ecosystems, including agricultural systems at up to hourly resolution. Estimates include: gross primary productivity (GPP), net primary productivity (NPP), autotrophic respiration (Ra), heterotrophic respiration (Rh), or net ecosystem exchange (NEE). Data were generated by the ecosys model constrained by observational data, including USDA crop yield from USDA National Agricultural Statistics Service, and a remote-sensing-based SLOPE GPP product. Model performance was evaluated using observations from AmeriFlux towers at agricultural sites within the study area. Agriculture in the US Midwest produces significant quantities of corn and soybeans, which are key elements to the global food supply. The data are provided in shapefile format." proprietary
@@ -4693,7 +4694,6 @@ Decadal_LULC_India_1336_1 Decadal Land Use and Land Cover Classifications across
Decadal_Water_Maps_1324_1.1 ABoVE: Surface Water Extent, Boreal and Tundra Regions, North America, 1991-2011 ORNL_CLOUD STAC Catalog 1990-01-01 2012-12-31 -177.48, 41.7, -53.94, 82.37 https://cmr.earthdata.nasa.gov/search/concepts/C2162118169-ORNL_CLOUD.umm_json This data set provides the location and extent of surface water (open water not including vegetated wetlands) for the entire Boreal and Tundra regions of North America for three epochs, centered on 1991, 2001, and 2011. Each of the products were generated with at least three years of ice-free Landsat imagery. The data are at 30-m resolution and were derived from time series of Landsat 4 and 5 Thematic Mapper (TM) data and Landsat 7 Enhanced Thematic Mapper (ETM+) covering all of Alaska and all provinces of Canada. The overall goal was to generate a map of the nominal extent of water for a given epoch, where nominal is neither the maximum nor the minimum but rather a representative extent for that time period. proprietary
DeciduousFractionl_CanopyCover_2296_1 Deciduous Fractional Cover and Tree Canopy Cover for Boreal North America, 1992-2015 ORNL_CLOUD STAC Catalog 1992-01-01 2015-12-31 -179.94, 40, -50, 80.25 https://cmr.earthdata.nasa.gov/search/concepts/C2787699948-ORNL_CLOUD.umm_json This dataset holds deciduous fraction and tree canopy cover at 30-m resolution over the North American boreal domain for 1992 to 2015. Deciduous fraction is the areal percentage of deciduous trees relative to all tree canopy cover within a pixel, and tree canopy cover is the areal percentage of a pixel that is covered by tree canopy. Deciduous fraction values are valid only for pixels with tree canopy cover >25 percent. Normalized difference vegetation index (NDVI)-based median-value image composites were derived from Landsat 5, 7, and 8 Collection 1 surface reflectance datasets for years 1987-1997, 1998-2002, 2003-2007, 2008-2012, and 2013-2018 to create composites for nominal years 1992, 2000, 2005, 2010, and 2015, respectively. These image composites were prepared for early spring, mid-summer, and mid-to-late fall seasons to identify key differences in deciduous and evergreen green-up amplitudes. Random Forest (RF) regression models were used to derive deciduous fraction and tree canopy cover from the image composites. These models were trained with data from in-situ samples across Alaska and Canada from a variety of studies. Seventy percent of the in-situ samples were used for training and 30% for validation. Per-pixel uncertainty for both deciduous fraction and tree canopy cover are included and were based on one standard deviation of output values across all decision trees in the RF regression. These datasets were developed as part of NASA's ABoVE project to capture forest composition changes over the North American boreal domain across the last several decades. The data are provided in GeoTIFF format. proprietary
Declassified_Satellite_Imagery_2_2002 Declassified Satellite Imagery 2 (2002) USGS_LTA STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1220567575-USGS_LTA.umm_json Declassified satellite images provide an important worldwide record of land-surface change. With the success of the first release of classified satellite photography in 1995, images from U.S. military intelligence satellites KH-7 and KH-9 were declassified in accordance with Executive Order 12951 in 2002. The data were originally used for cartographic information and reconnaissance for U.S. intelligence agencies. Since the images could be of historical value for global change research and were no longer critical to national security, the collection was made available to the public. Keyhole (KH) satellite systems KH-7 and KH-9 acquired photographs of the Earth’s surface with a telescopic camera system and transported the exposed film through the use of recovery capsules. The capsules or buckets were de-orbited and retrieved by aircraft while the capsules parachuted to earth. The exposed film was developed and the images were analyzed for a range of military applications. The KH-7 surveillance system was a high resolution imaging system that was operational from July 1963 to June 1967. Approximately 18,000 black-and-white images and 230 color images are available from the 38 missions flown during this program. Key features for this program were larger area of coverage and improved ground resolution. The cameras acquired imagery in continuous lengthwise sweeps of the terrain. KH-7 images are 9 inches wide, vary in length from 4 inches to 500 feet long, and have a resolution of 2 to 4 feet. The KH-9 mapping program was operational from March 1973 to October 1980 and was designed to support mapping requirements and exact positioning of geographical points for the military. This was accomplished by using image overlap for stereo coverage and by using a camera system with a reseau grid to correct image distortion. The KH-9 framing cameras produced 9 x 18 inch imagery at a resolution of 20-30 feet. Approximately 29,000 mapping images were acquired from 12 missions. The original film sources are maintained by the National Archives and Records Administration (NARA). Duplicate film sources held in the USGS EROS Center archive are used to produce digital copies of the imagery. proprietary
-Deimos-1.and.2.ESA.archive_NA GEOSAT-1 and 2 ESA archive ESA STAC Catalog 2009-08-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336826-ESA.umm_json GEOSAT 1 and 2 collection is composed of products acquired by the GEOSAT 1 and GEOSAT 2 Spanish satellites. The collection regularly grows as ESA collects new products. GEOSAT-1 standard products offered are: • SL6_22P: SLIM6, 22m spatial resolution, from bank P • SL6_22S: SLIM6, 22m spatial resolution, from bank S • SL6_22T: SLIM6, 22m spatial resolution, 2 banks merged together GEOSAT-1 products are available in two different processing levels: • Level 1R: All 3 Spectral channels combined into a band-registered image using L0R data. Geopositioned product based on rigorous sensor model. Coefficients derived from internal and external satellite orientation parameters coming from telemetry and appended to metadata. • Level 1T: data Orthorectified to sub-pixel accuracy (10 meters RMS error approximately) with respect to Landsat ETM+ reference data and hole-filled seamless SRTM DEM data V3, 2006 (90 m). The use of the GCPs, it is not automatic, as it is done manually, which gives greater precision. (GCPs by human operators). GEOSAT-2 standard products offered are: • Pan-sharpened (HRA_PSH four-band image, HRA_PS3 321 Natural Colours, HRA_PS4 432 False Colours): a four-band image, resulting from adding the information of each multispectral band to the panchromatic band. The fusion does not preserve all spectral features of the multispectral bands, so it should not be used for radiometric purposes. • Panchromatic (HRA_PAN): a single-band image coming from the panchromatic sensor.HRA_MS4: Multispectral (HRA_MS4): a four-band image coming for the multispectral sensor, with band co-registration. • Bundle (HRA_PM4): a five-band image contains the panchromatic and multispectral products packaged together, with band co-registration. • Stereo Pair (HRA_STP): The image products obtained from two acquisitions of the same target performed from different viewpoints in the same pass by using the agility feature of the platform. It can be provided as a pair of pan sharpened or panchromatic images. GEOSAT-2 products are available in two different processing levels: • Level 1B: A calibrated and radiometrically corrected product, but not resampled. The product includes the Rational Polynomial Coefficients (RPC), the metadata with gain and bias values for each band, needed to convert the digital numbers into radiances at pixel level, and information about geographic projection (EPGS), corners geolocation, etc. • Level 1C: A calibrated and radiometrically corrected product, manually orthorectified and resampled to a map grid. The geometric information is contained in the GeoTIFF tags. Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/smcat/GEOSAT/ available on the Third Party Missions Dissemination Service. proprietary
Del_Ches_Bay_Fluorescence_0 Fluorescence measurements along Chesapeake Bay and Delaware coast OB_DAAC STAC Catalog 2008-04-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360200-OB_DAAC.umm_json Measurements made in the Chesapeake Bay and off the Delaware coast in 2008. proprietary
DeltaX_ADCP_Measurements_V2_2081_2 Delta-X: Acoustic Doppler Current Profiler Channel Surveys, MRD, Louisiana, 2021, V2 ORNL_CLOUD STAC Catalog 2021-03-25 2021-09-25 -91.45, 29.16, -90.67, 29.7 https://cmr.earthdata.nasa.gov/search/concepts/C2484970169-ORNL_CLOUD.umm_json This dataset provides river discharge measurements collected at selected locations in the Atchafalaya and Terrebonne Basins within the Mississippi River Delta (MRD) floodplain in coastal Louisiana, USA. The measurements were made during the Delta-X 2021 field efforts from 2021-03-25 to 2021-04-11 (spring) and 2021-08-16 to 2021-09-25 (fall). Channel surveys were conducted with a Teledyne RiverPro acoustic doppler current profiler (ADCP) or a Sontek M9 RiverSurveyor ADCP on selected wide channels (>100 m wide) and a few selected narrow channels (approximately 10 m wide) near the Delta-X intensive study sites. River discharge was measured on cross-channel transects. Reported data include bathymetry, discharge (m3 s-1), and flow velocity. proprietary
DeltaX_AGB_AGN_V2_2237_2 Delta-X: Aboveground Biomass and Necromass across Wetlands, MRD, Louisiana, 2021, V2 ORNL_CLOUD STAC Catalog 2021-03-19 2021-08-27 -91.89, 29.17, -90.82, 29.51 https://cmr.earthdata.nasa.gov/search/concepts/C2795126898-ORNL_CLOUD.umm_json This dataset contains total aboveground biomass (AGB) and necromass (AGN), and total carbon, total nitrogen, and total phosphorus content of aboveground biomass (AGB) and necromass (AGN) samples collected from herbaceous wetlands in the Atchafalaya and Terrebonne basins in southeastern coastal Louisiana during 2021. Field measurements were conducted at three sites in the Atchafalaya basin and three sites in the Terrebonne basin. Five of the sites are adjacent to sites from the Coastwide Reference Monitoring System (CRMS). The other site is located in Wax Lake Delta (WLD) without appropriate adjacent CRMS sites. All AGB and AGN plant material within each plot was clipped at soil level, stored in plastic bags, and transported to the laboratory for further analyses. Herbaceous wetland sites in both basins were chosen to represent a salinity gradient including freshwater, brackish, and saline ecosystems. These data cover the period 2021-03-19 to 2021-03-31 (spring) and 2021-08-19 to 2021-08-27 (fall). proprietary
@@ -4967,38 +4967,30 @@ EN1_MDSI_MER_FRS_1P_4 Full Resolution Full Swath Geolocated and Calibrated TOA R
EN1_MDSI_MER_FRS_2P_4 Full Resolution Full Swath Geophysical Product for Ocean, Land and Atmosphere LAADS STAC Catalog 2003-01-01 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2151219110-LAADS.umm_json The Medium Resolution Imaging Spectrometer (MERIS) is one of 10 sensors deployed in March of 2002 on board the polar-orbiting Envisat-1 environmental research satellite by the European Space Agency (ESA). The MERIS instrument is a moderate-resolution wide field-of-view push-broom imaging spectroradiometer capable of sensing in the 390 nm to 1040 nm spectral range. Being a programmable instrument, it had the unique capability of selectively adjusting the width and location of its 15 bands through ground command. The instrument has a 68.5-degree field of view and a swath width of 1150 meters, providing a global coverage every 3 days at 300 m resolution. Communication with the Envisat-1 satellite was lost suddenly on the 8th of April, 2012, just weeks after celebrating its 10th year in orbit. All attempts to re-establish contact were unsuccessful, and the end of the mission was declared on May 9th, 2012. The 4th reprocessing cycle, in 2020, has produced both the full-resolution and reduced-resolution L1 and L2 MERIS products. EN1_MDSI_MER_FRS_2P is the short-name for the MERIS Level-2 full resolution, geophysical product for ocean, land, and atmosphere. This Level-2 product comes in a netCDF4 package that contains both instrument and science measurements, and a Manifest file that provides metadata information describing the product. Each Level-2 product contains 64 measurement files that break down thus: 13 files containing water-leaving reflectance, 13 files containing land surface reflectance and 13 files containing the TOA reflectance (for all bands except those dedicated to measuring atmospheric gas - M11 and M15), and several files containing additional measurements on ocean, land, and atmosphere parameters. proprietary
EN1_MDSI_MER_RR__1P_4 Reduced Resolution Geolocated and Calibrated TOA Radiance LAADS STAC Catalog 2002-04-29 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2151223365-LAADS.umm_json The Medium Resolution Imaging Spectrometer (MERIS) is one of 10 sensors deployed in March of 2002 on board the polar-orbiting Envisat-1 environmental research satellite by the European Space Agency (ESA). The MERIS instrument is a moderate-resolution wide field-of-view push-broom imaging spectroradiometer capable of sensing in the 390 nm to 1040 nm spectral range. Being a programmable instrument, it had the unique capability of selectively adjusting the width and location of its 15 bands through ground command. The instrument has a 68.5-degree field of view and a swath width of 1150 meters, providing a global coverage every 3 days at 300 m resolution. Communication with the Envisat-1 satellite was lost suddenly on the 8th of April, 2012, just weeks after celebrating its 10th year in orbit. All attempts to re-establish contact were unsuccessful, and the end of the mission was declared on May 9th, 2012. The 4th reprocessing cycle, in 2020, has produced both the full-resolution and reduced-resolution L1 and L2 MERIS products. EN1_MDSI_MER_RR__1P is the short-name for the MERIS Level-1 reduced resolution, geolocated and calibrated top-of-atmosphere (TOA) radiance product. This product contains the TOA upwelling spectral radiance measurements at reduced resolution. The in-band reference irradiances for the 15 MERIS bands are computed by averaging the in-band solar irradiance for each pixel. Each pixel’s in-band solar irradiance is computed by integrating the reference solar spectrum with the band-pass of each pixel. The Level-1 product contains 22 data files: 15 files contain radiances for each band (one band per file) along with associated error estimates, and 7 annotation data files. It also includes a Manifest file that provides metadata information describing the product. proprietary
EN1_MDSI_MER_RR__2P_4 Reduced Resolution Geophysical Product for Ocean, Land and Atmosphere LAADS STAC Catalog 2002-04-29 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2151227530-LAADS.umm_json The Medium Resolution Imaging Spectrometer (MERIS) is one of 10 sensors deployed in March of 2002 on board the polar-orbiting Envisat-1 environmental research satellite by the European Space Agency (ESA). The MERIS instrument is a moderate-resolution wide field-of-view push-broom imaging spectroradiometer capable of sensing in the 390 nm to 1040 nm spectral range. Being a programmable instrument, it had the unique capability of selectively adjusting the width and location of its 15 bands through ground command. The instrument has a 68.5-degree field of view and a swath width of 1150 meters, providing a global coverage every 3 days at 300 m resolution. Communication with the Envisat-1 satellite was lost suddenly on the 8th of April, 2012, just weeks after celebrating its 10th year in orbit. All attempts to re-establish contact were unsuccessful, and the end of the mission was declared on May 9th, 2012. The 4th reprocessing cycle, in 2020, has produced both the full-resolution and reduced-resolution L1 and L2 MERIS products. EN1_MDSI_MER_RR__2P is the short-name for the MERIS Level-2 reduced resolution, geophysical product for ocean, land, and atmosphere. This Level-2 product comes in a netCDF4 package that contains both instrument and science measurements, and a Manifest file that provides metadata information describing the product. Each Level-2 product contains 64 measurement files that break down thus: 13 files containing water-leaving reflectance, 13 files containing land surface reflectance and 13 files containing the TOA reflectance (for all bands except those dedicated to measuring atmospheric gas - M11 and M15), and several files containing additional measurements on ocean, land, and atmospheric parameters and annotation. proprietary
-ENVISAT.ASA.APM_1P_NA Envisat ASAR AP Medium Resolution L1 [ASA_APM_1P] ESA STAC Catalog 2002-11-15 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336832-ESA.umm_json This ASAR Alternating Polarization Medium Resolution Image product has been generated from Level 0 data collected when the instrument was in Alternating Polarisation Mode. The product has lower geometric resolution but higher radiometric resolution than ASA_APP and contains one or two co-registered images corresponding to one of the three polarisation combination submodes (HH and VV, HH and HV, VV and VH). This product has been processed using the SPECAN algorithm and contains radiometric resolution good enough for ice applications and covers a continuous area along the imaging swath. The ASAR AP L0 full mission data archive has been bulk processed to Level 1 (ASA_APM_1P) in Envisat format with the IPF-ASAR processor version 6.03. Spatial Resolution: 150 m ground range x 150 m azimuth proprietary
-ENVISAT.ASA.APP_1P_NA Envisat ASAR AP Precision L1 [ASA_APP_1P] ESA STAC Catalog 2002-11-15 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1532648142-ESA.umm_json This ASAR Alternating Polarisation Mode Precision product is generated from Level 0 data collected when the instrument is in Alternating Polarisation Mode (7 possible swaths). The product contains two CO-registered images corresponding to one of the three polarisation combination submodes (HH and VV, HH and HV, VV and VH). This is a stand-alone multi-look, ground range, narrow swath digital image generated using the SPECAN algorithm and the most up to date auxiliary information available at the time of processing. Engineering corrections and relative calibration (antenna elevation gain, range spreading loss) are applied to compensate for well-understood sources of system variability. Generation of this product uses a technique to allow half the looks of an image to be acquired in horizontal polarisation and the other half in vertical polarisation and processed to 30-m resolution (with the exception of IS1). Absolute calibration parameters are available depending on external calibration activities and are provided in the product annotations. Spatial Resolution: 30 m ground range x 30 m azimuth proprietary
-ENVISAT.ASA.APS_1P_NA Envisat ASAR AP Single-Look Complex L1 [ASA_APS_1P] ESA STAC Catalog 2002-11-15 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1532648143-ESA.umm_json This product is a complex, slant-range, digital image generated from Level 0 data collected when the instrument is in Alternating Polarisation mode. (7 possible swaths). It contains two CO-registered images corresponding to one of the three polarisation combination submodes (HH and VV, HH and HV, VV and VH). In addition, the product uses the Range Doppler algorithm and the most up to date processing parameters available at the time of processing. It can be used to derive higher level products for SAR image quality assessment, calibration and interferometric applications, if allowed by the instrument acquisition. A minimum number of corrections and interpolations are performed on the data in order to allow the end-user maximum freedom to derive higher level products. Complex output data is retained to avoid loss of information. Absolute calibration parameters are available depending on external calibration activities and are provided in the product annotations. Spatial Resolution: approximately 8m slant range x approximately 4m azimuth proprietary
-ENVISAT.ASA.GM1_1P_NA Envisat ASAR Global Monitoring L1 [ASA_GM1_1P] ESA STAC Catalog 2004-02-02 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336835-ESA.umm_json This product has been generated from Level 0 data collected when the instrument was in Global Monitoring Mode. One product covers a full orbit. The product includes slant range to ground range corrections. This strip-line product is the standard for ASAR Global Monitoring Mode. It is processed to approximately 1 km resolution using the SPECAN algorithm. The swath width is approximately 400 km. The ASAR GM L0 full mission data archive has been bulk processed to Level 1 (ASA_GM1_1P) in Envisat format with the IPF-ASAR processor version 6.03. Spatial Resolution: 1 km ground range x 1 km azimuth. proprietary
-ENVISAT.ASA.IMM_1P_NA Envisat ASAR IM Medium Resolution L1 [ASA_IMM_1P] ESA STAC Catalog 2002-10-18 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336836-ESA.umm_json This ASAR Medium Resolution strip-line product has been generated from Level 0 data collected when the instrument was in Image Mode. This product has lower resolution but higher radiometric resolution than the ASA_IMP. The product covers a continuous area along the imaging swath and features an ENL (radiometric resolution) good enough for ice applications. It is intended to perform applications-oriented analysis on large scale phenomena and multi-temporal imaging. This product provides a continuation of the ERS-SAR Image Mode data. The ASAR IM L0 full mission data archive has been bulk processed to Level 1 (ASA_IMM_1P) in Envisat format with the IPF-ASAR processor version 6.03. Spatial Resolution: 150 m ground range x 150 m azimuth proprietary
-ENVISAT.ASA.IMP_1P_NA Envisat ASAR IM Precision L1 [ASA_IMP_1P] ESA STAC Catalog 2002-10-18 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1532648144-ESA.umm_json This is a multi-look, ground range, digital Precision Image generated from Level 0 data collected when the instrument was in Image Mode (7 possible swaths HH or VV polarisation). The product includes slant range to ground range correction. It is for users wishing to perform applications-oriented analysis and applies to multi-temporal imaging and to derive backscattering coefficients. The stand-alone image is generated using the Range/Doppler algorithm. The processing uses up to date (at time of processing) auxiliary parameters corrected for antenna elevation gain, and range spreading loss. Engineering corrections and relative calibration are applied to compensate for well-understood sources of system variability. Absolute calibration parameters, when available (depending on external calibration activities) are provided in the product annotations. This product provides a continuation of the ERS-SAR_PRI product. Spatial Resolution: 30 m ground range x 30 m azimuth proprietary
-ENVISAT.ASA.IMS_1P_NA Envisat ASAR IM Single Look Complex L1 [ASA_IMS_1P] ESA STAC Catalog 2002-10-18 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1532648145-ESA.umm_json This data product represents a single-look, complex, slant-range, digital image generated from Level 0 ASAR data collected when the instrument is in Image Mode. Seven possible swaths in HH or VV polarisation are available. The product is primarily intended for use in SAR quality assessment and calibration or applications requiring complex SAR images such as interferometry, and can be used to derive higher level products. The spatial coverage is about 100 km along track per 56- 100 km across track, and the radiometric resolution is 1 look in azimuth, 1 look in range. The file size is 741 Mbytes. It is worth highlighting that Azimuth pixel spacing depends on Earth-Satellite relative velocity and actual PRF and slant range pixel spacing is given by ASAR sampling frequency (19.208 Mhz). Auxiliary data include: Orbit state vector, Time correlation parameters, Main Processing parameters ADS, Doppler Centroid ADS, Chirp ADS, Antenna Elevation Pattern ADS, Geolocation Grid ADS, SQ ADS. Spatial Resolution: approximately 8m slant range x approximately 4m azimuth proprietary
-ENVISAT.ASA.IM__0P_NA Envisat ASAR IM L0 [ASA_IM__0P] ESA STAC Catalog 2002-10-18 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336838-ESA.umm_json The ASAR Image Mode source packets Level 0 data product offers Level 0 data for possible images processing on an other processing site. It includes some mandatory information for SAR processing. The Image Mode Level 0 product consists of time-ordered Annotated Instrument Source Packets (AISPs) collected by the instrument in Image Mode. The echo samples contained in the AISPs are compressed to 4 bits/sample using Flexible Block Adaptive Quantisation (FBAQ). This is a high-rate, narrow swath mode so data is only acquired for partial orbit segments and may be from one of seven possible image swaths. The Level 0 product is produced systematically for all data acquired within this mode. This product provides a continuation of the ERS-SAR_RAW product. proprietary
-ENVISAT.ASA.WSM_1P_NA Envisat ASAR WS Medium Resolution L1 [ASA_WSM_1P] ESA STAC Catalog 2002-10-28 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336840-ESA.umm_json This strip-line product has been generated from Level 0 data collected when the instrument was in Wide Swath Mode. The product includes slant range to ground range corrections and it covers a continuous area along the imaging swath. It is intended to perform applications-oriented analysis on large scale phenomena over a wide region and for multi-temporal imaging. This is the standard product for ASAR Wide Swath Mode. The ASAR WS L0 full mission data archive has been bulk processed to Level 1 (ASA_WSM_1P) in Envisat format with the IPF-ASAR processor version 6.03. Spatial Resolution: 150 m slant range x 150 m azimuth. proprietary
-ENVISAT.ASA.WSS_1P_NA Envisat ASAR WS Single Look Complex L1 [ASA_WSS_1P] ESA STAC Catalog 2002-10-28 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1532648146-ESA.umm_json "The Level-1B data product offered by ESA from the ASAR Wide-Swath Mode (WS) is the multi-look detected product (ASA_WSM_1P), intended to support applications that exploit intensity data. In order to support the development of new applications with the ASAR ScanSAR data, a WSM product providing phase information has been developed and implemented in the ESA ASAR processor, the Wide-Swath Single-Look complex product (ASA_WSS_1P). This product is mainly used for INSAR applications based either on wide-swath/wide-swath pairs or wide-swath/image mode pairs, applications of ocean current mapping, large-area ocean wave retrievals, and atmospheric water vapour characterisation. It shall be mentioned that the standard ESA WSS product is based on the prototype WSS processor developed by Polimi/Poliba, which has also been used to generate prototype products for testing the potential and preparing the exploitation of the WSS product. The ESA ASA_WSS_1P product is available as a standard Envisat ASAR product. The ASA_WSS_1P product format is slightly different from other ASAR products since: - there are 5 different MDSs, one per sub-swath - a ""Doppler Grid"" ADS has been included to support ocean current mapping applications - there are 5 records in the MPP ADS, one per sub-swath - there are 5 records in the SQ ADS, one per sub-swath Other key characteristics of the ASA_WSS_1P product are summarised below: - processing is fully phase preserving - data in the MDSs is sampled in a common grid both in range and in azimuth - standard product is 60 sec long with 80 m az. pixel spacing - auxiliary timeline information has been added in the Main Processing Parameters ADS - elevation antenna pattern correction is applied by default (although the product is a single-look complex) - Spatial Resolution: approximately 8 m slant range x 80 m azimuth" proprietary
-ENVISAT.ASA.WS__0P_NA Envisat ASAR WS L0 [ASA_WS__0P] ESA STAC Catalog 2002-10-28 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336842-ESA.umm_json The WS Mode Level 0 product consists of time-ordered AISPs collected while the instrument was is in Wide Swath Mode. The echo samples in the AISPs have been compressed to 4 bits/sample using FBAQ. This is a high-rate, wide swath (ScanSAR) mode so data is only acquired for partial orbit segments and is composed of data from five image swaths (SS1 to SS5). The Level 0 product is produced systematically for all data acquired within this mode. The objective of this product is to offer Level 0 data for possible images processing on another processing site. It includes mandatory information for SAR processing. Data Size: 400 km across track x 400 km along track proprietary
-ENVISAT.ASA.WVI_1P_NA Envisat ASAR Wave SLC and Cross-Spectra Imagettes L1 [ASA_WVI_1P] ESA STAC Catalog 2002-10-30 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336843-ESA.umm_json This is the basic Level 1B ASAR Wave Mode product, including up to 400 single-look, complex, slant range, imagettes generated from Level 0 data and up to 400 imagette power spectra computed using the cross-spectra methodology. The auxiliary parameters used are the most up-to-date at the time of processing. A minimum number of corrections and interpolations are performed in order to allow the end-user maximum freedom to derive higher level products. Complex output data is retained to avoid loss of information. Absolute calibration parameters, when available (depending on external calibration activities), is provided in the product annotations. Imagette power spectrum is equivalent to the ERS UWA (Near Real Time) product with revisited algorithm (cross-spectra) taking into account the higher quality of the SLC imagette. Note that starting from an SLC imagette, generation of an ERS UWA-type product might be ensured by a simple look detection and summation. This product provides a continuation of the ERS-SAR wave mode data. Imagette Spatial Resolution: 20 m ground range x 20 m azimuth Cross Spectra Output: Wavelength range from 20 to 1000 m in 24 logarithmic steps proprietary
-ENVISAT.ASA.WVS_1P_NA Envisat ASAR Wave Imagette Cross Spectra L1 [ASA_WVS_P] ESA STAC Catalog 2002-12-10 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336844-ESA.umm_json This ASAR Wave product is extracted from the combined SLC and Cross Spectra product ASA_WVI_1P generated from data collected when the instrument was in Wave Mode using the Cross Spectra methodology. The product is meant for Meteo users. The spatial coverage is up to 20 spectra acquired every 100 km, with a minimum coverage of 5km x 5km. The file size has a maximum of 0.2 Mbytes. Auxiliary data include Orbit state vector, Time correlation parameters, Wave Processing parameters ADS, Wave Geolocation ADS, SQ ADS. This product provides a continuation of the ERS-SAR wave mode data. Output: Wavelength range from 20 to 1000 m in 24 logarithmic steps. proprietary
-ENVISAT.ASA.WVW_2P_NA Envisat ASAR WM Ocean Wave Spectra L2 [ASA_WVW_2P] ESA STAC Catalog 2002-12-10 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336846-ESA.umm_json This ASAR Wave Mode product is created by inverting the cross-spectra computed from inter-look processing of the SLC wave imagettes to derive the directional ocean product ocean wave spectra. Auxiliary ADSs included with the product remains the same as for the ASAR Wave Mode Cross-Spectra product. The output follows the format of the Envisat ASAR Level 1B Wave Mode Imagette Cross-Spectra (ASA_WVS_1P) product. This is done in order to be compatible with the ground segment products of Envisat ASAR. This product provides a continuation of the ERS-SAR wave mode data. Output: Wavelength range from 20 to 1000 m in 24 logarithmic steps proprietary
-ENVISAT.ATS.AR__2P_NA Envisat AATSR Averaged Surface Temperature (AST) Product [ATS_AR__2P] ESA STAC Catalog 2002-05-20 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336847-ESA.umm_json The Averaged Surface Temperature (AST) Product contains averaged geophysical data at two different resolutions, and with respect to two different averaging schemes. Measurement data sets at resolutions of 0.5 by 0.5 degrees and 10 by 10 arcmin with respect to a latitude/longitude grid provide continuity with existing ATSR products. Other data sets contain data averaged over equal area cells of 50 by 50 km and 17 by 17 km aligned with the satellite ground track. Both top-of-atmosphere and surface data sets are provided. The surface temperature data sets provide, for sea cells, nadir and dual view sea surface temperatures, and for land cells, land surface temperature and NDVI. Cloud data is also included. No ADS are included in the AST product; auxiliary data is contained within the MDS. The data sets of the AST product are arranged by surface type and resolution. This product is a continuation of ERS ATSR data. The 3rd reprocessing of AATSR data was performed in 2013; the processing updates that have been put in place and the scientific improvements are outlined in full in the User Summary Note for the Third Envisat AATSR Reprocessing https://earth.esa.int/eogateway/documents/20142/37627/IDEAS-VEG-OQC-REP-2148-%28A%29ATSR-Third+Reprocessing-Dataset-User-Summary-v1-0.pdf proprietary
-ENVISAT.ATS.LST_2P_NA Envisat AATSR Level 2 LST products from UOL [ATS_LST_2P] ESA STAC Catalog 2002-05-20 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336848-ESA.umm_json "The UOL LST product contains full resolution nadir-view Land Surface Temperature (LST) values, generated by the University of Leicester (UOL). These products use the same LST retrieval method as the Gridded Surface Temperature (ATS_NR__2P) products, however significantly improved auxiliary datasets for land cover, green vegetation fraction and total column water vapour are applied (see ""Available Resources"" section below for details). In addition to LST, the UOL LST products contain the aforementioned auxiliary information, LST uncertainty estimates, NDVI and quality control flags. The UOL LST products are provided in NetCDF-4 format, and have been generated from the 3rd reprocessed AATSR dataset by the LST project team at the University of Leicester funded by ESA and NCEO." proprietary
-ENVISAT.ATS.LST_3P_NA Envisat AATSR Level 3 LST products from UOL [ATS_LST_3P] ESA STAC Catalog 2002-07-24 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336850-ESA.umm_json "The recommended AATSR Level 3 products for Land Surface Temperature (LST) applications are the Level 3 products that have been produced by the University of Leicester (UOL). These Level 3 products have been generated from Level 2 UOL LST products which use the same LST retrieval method as the Gridded Surface Temperature (ATS_NR__2P) products. However, significantly improved auxiliary data sets for land cover, green vegetation fraction and total column water vapour are also applied (see ""Available Resources"" section below for details). In addition to LST, the UOL LST products contain the aforementioned auxiliary information, LST uncertainty estimates, NDVI and quality control flags. The Level 3 products are provided in NetCDF-4 format, and have been generated from the 3rd reprocessed AATSR dataset by the LST project team at the University of Leicester funded by ESA and NCEO. Further documentation is available via the NEODC website: https://catalogue.ceda.ac.uk/uuid/1d0c047ea3ced97cc7e988d7d286052a" proprietary
-ENVISAT.ATS.MET_2P_NA Envisat AATSR Meteo product [ATS_MET_2P] ESA STAC Catalog 2002-05-20 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336851-ESA.umm_json The data was original designed as a fast delivery Meteo product for use by meteorological offices, and contains averaged BT and SST at 10 arc minute resolution. The single MDS comprises the fields of MDS#3 (SST record, 10 arc min cell) of the AST product, with the addition of Average Brightness Temperature (ABT) fields (BT/TOA sea record, 10 arc min cell) to make it more self-contained. This product is a continuation of ERS ATSR data. The 3rd reprocessing of AATSR data was performed in 2013; the processing updates that have been put in place and the scientific improvements are outlined in full in the User Summary Note for the Third Envisat AATSR Reprocessing https://earth.esa.int/eogateway/documents/20142/37627/IDEAS-VEG-OQC-REP-2148-%28A%29ATSR-Third+Reprocessing-Dataset-User-Summary-v1-0.pdf proprietary
-ENVISAT.ATS.NR__2P_NA Envisat AATSR Gridded Surface Temperature [ATS_NR__2P] ESA STAC Catalog 2002-05-20 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336852-ESA.umm_json The Gridded Surface Temperature (GST) Product is the Level 2 full resolution geophysical product. It contains a single measurement data set the content of which is switchable, that is to say, the content of each pixel field will depend on the surface type. Specifically, the contents of the data fields will depend on the setting of the forward and nadir cloud flags and the land flag. The principal annotation data sets from the GBTR product from which the GST is derived are also included in this product. This product is a continuation of ERS ATSR data. The 3rd reprocessing of AATSR data was performed in 2013; the processing updates that have been put in place and the scientific improvements are outlined in full in the User Summary Note for the Third Envisat AATSR Reprocessing https://earth.esa.int/eogateway/documents/20142/37627/IDEAS-VEG-OQC-REP-2148-%28A%29ATSR-Third+Reprocessing-Dataset-User-Summary-v1-0.pdf proprietary
-ENVISAT.ATS.TOA_1P_NA Envisat AATSR Gridded Brightness Temperature/Reflectance [ATS_TOA_1P] ESA STAC Catalog 2002-05-20 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336853-ESA.umm_json The Gridded Brightness Temperature/Reflectance (GBTR) product contains top of atmosphere (TOA) brightness temperature (BT) values for the infra-red channels and reflectance values for the visible channels. Values for each channel and for the nadir and forward views occupy separate measurement data sets. Additional MDS contain cloud and land/sea flags and confidence flags for each image pixel. This product is a continuation of ERS ATSR data. The 3rd reprocessing of AATSR data was performed in 2013; the processing updates that have been put in place and the expected scientific improvements are outlined in full in the User Summary Note for the Third Envisat AATSR Reprocessing https://earth.esa.int/eogateway/documents/20142/37627/IDEAS-VEG-OQC-REP-2148-%28A%29ATSR-Third+Reprocessing-Dataset-User-Summary-v1-0.pdf proprietary
-ENVISAT.ATS_AVG_3PAARC_NA Envisat AATSR ARC Level 3 products [ATS_AVG_3PAARC] ESA STAC Catalog 2002-07-22 2012-04-08 -180, 78, 180, 85 https://cmr.earthdata.nasa.gov/search/concepts/C1965336855-ESA.umm_json The recommended AATSR Level 3 products for Sea Surface Temperature (SST) applications are the ARC (ATSR Re-processing for Climate) Level 3 products. ARC reprocesses the ATSR multi-mission archive using new cloud detection and SST retrievals to produce a homogenous record of sea surface temperature. The main ARC objective is to reduce regional biases in retrieved SST to less than 0.1 K for all global oceans while creating a very homogenous record with a stability (lack of drift in the observing system and analysis) of 0.05 K per decade. ARC products are available for ATSR-1, ATSR-2 and AATSR. ARC products are provided in netCDF format and contain data for both the skin SST and the SST estimated for depths of 0.2 and 1.0 m (corresponding approximately to drifter and moored buoy depths). The AATSR estimated depth SSTs are adjusted to a local equatorial crossing time of 10:30 (approximately half an hour after observation), to provide continuity with ATSR-1 and ATSR-2 data. The ARC project was led by Chris Merchant (University of Reading, formerly of the University of Edinburgh) and funded by NERC and the UK Government. Further documentation is available via the NEODC website: https://catalogue.ceda.ac.uk/uuid/ff8a7f27b827c108dd9756adffaaa942 proprietary
-ENVISAT.DOR.DOP_1P_NA Envisat DORIS Doppler [DOR_DOP_1P] ESA STAC Catalog 2002-06-13 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336857-ESA.umm_json This product was generated by the Centre de Traitement Doris Poseidon (CTDP), 3 days after sensing and stored into the F-PAC archive. The file size is 0.5 Mbytes per orbit. proprietary
-ENVISAT.DOR.VOR_AX_NA Envisat DORIS Precise Orbit State Vectors [DOR.VOR_AX] ESA STAC Catalog 2002-04-09 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336859-ESA.umm_json The latest version of the Envisat DORIS Precise Orbit product (DOR_VOR_AX) was generated by the Centre de Traitement Doris Poseidon (CTDP) using the Geophysical Data Records F standards (GDR-F). The product is used to obtain the satellite orbital parameters (latitude, longitude, height and height rate) by using orbit computation routines. The most significant changes related to the GDR-F standards concern the new ocean tide model (FES2014) and the updated Terrestrial Reference Frame (ITRF2014). The new standards significantly improve all Precise Orbit Determination (POD) metrics with respect to GDR-E: the mean difference and variance of Sea Surface Height (SSH) at crossovers is slightly reduced. The DOR_VOR_AX product adopts the Envisat format, and the size is 0.2 Mbytes per orbit. Users are recommended to apply the GDR-F version, but the previous datasets are still available (i.e. GDR-D and GDR-E versions). See further details in the readme file (https://earth.esa.int/eogateway/documents/20142/37627/Readme-file-for-Envisat-DORIS-POD.pdf/e94f32f0-3776-788b-abaf-3901ad26440c) for Envisat DORIS Precise Orbit Determination files. https://earth.esa.int/eogateway/documents/20142/1565579/DOR-VOR-AX-Description.png proprietary
-ENVISAT.GOM.LIM_1P_NA Envisat GOMOS Level 1b - Limb spectra [GOM_LIM_1P] ESA STAC Catalog 2002-04-15 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336861-ESA.umm_json This data product describes localised calibrated upper and lower background limb spectra (flat-field corrected, with and without stray light). Coverage is as follows: - Elevation range: C25+62 deg to +68 deg - Azimuth range: +90 deg to +190 deg (with respect to the flight direction). The file size is Mbytes/occultation, depending on the duration of the occultation. proprietary
-ENVISAT.GOM.NL__2P_NA Envisat GOMOS Level 2 - Atmospheric constituents profiles [GOM_NL__2P] ESA STAC Catalog 2002-04-15 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336863-ESA.umm_json This data product describes atmospheric constituents profiles. In particular the vertical and line density profiles of ozone, NO2, NO3, O2, H2O, air, aerosols, temperature, turbulence. Coverage is as follows: - Elevation range: +62 deg to +68 deg - Azimuth range: +90 deg to +190 deg (with respect to the flight direction) The file size is 1 Mbyte/occultation, depending on the duration of the occultation. proprietary
-ENVISAT.GOM.TRA_1P_NA Envisat GOMOS Geolocated Calibrated Transmission Spectra and Photometer Fluxes [GOM_TRA_1P] ESA STAC Catalog 2002-04-15 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336864-ESA.umm_json This data product describes the geolocated and calibrated transmission spectra products, containing the full transmission and the covariance spectra needed for the Level 2 processing. Coverage is as follows: - Elevation range: +62 deg to +68 deg - Azimuth range: +90 deg to +190 deg (with respect to the flight direction) The file size is 1 MB/occultation, depending on the duration of the occultation. proprietary
-ENVISAT.GOM_EXT_2P_NA Envisat GOMOS Level 2 - Residual extinction [GOM_EXT_2P] ESA STAC Catalog 2002-04-15 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336865-ESA.umm_json Re-computed transmission spectra corrected for scintillation and dilution effects, before and after inversion. Coverage is as follows: - Elevation range: +62 deg to +68 deg - Azimuth range: +90 deg to +190 deg (with respect to the flight direction) The file size is 1 Mbyte/occultation, depending on the duration of the occultation. proprietary
-ENVISAT.MIP.NL__1P_NA Envisat MIPAS L1 - Geo-located and calibrated atmospheric spectra [MIP_NL__1P] ESA STAC Catalog 2002-07-01 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336871-ESA.umm_json This MIPAS Level 1 data product covers the geo-located, spectrally and radiometrically calibrated limb emission spectra in the 685-2410 cm-1 wave number range. It comprises 5 bands: 685-980 cm-1, 1010-1180 cm-1, 1205-1510 cm-1, 1560-1760 cm-1, 1810-2410 cm-1 and covers the following spatial ranges: -Tangent height range: 5 to 170 km -Pointing range: (azimuth pointing range relative to satellite velocity vector): 160 deg - 195 deg (rearward anti-flight direction); 80 deg - 110 deg (sideward anti-Sun direction) The instantaneous field of view (IFOV) is 0.05230 (elevation) x 0.5230 (azimuth) deg. The length of measurement cell for an individual height step is approximately 300-500 km (dependent on tangent height and optical properties of the atmosphere). The spectral resolution spans from 0.030 to 0.035 cm-1, with a radiometric sensitivity of 4.2 to 50 nW / cm-1 / sr / cm2. The resolution range of the dataset is: 3 km (vertical) x 30 km (horizontal) at the tangent point. Please consult the Product Quality Readme - https://earth.esa.int/documents/700255/3711375/Read_Me_File_MIP_NL__1PY_ESA-EOPG-EBA-TN-1+issue1.1.pdf - file for MIPAS Level 1b IPF 8.03 before using the data. proprietary
-ENVISAT.MIP.NL__2P_NA Envisat MIPAS L2 - Temperature, pressure and atmospheric constituents profiles [MIPAS_2PS/2PE] ESA STAC Catalog 2002-07-01 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336872-ESA.umm_json This MIPAS Level 2 data product describes localised vertical profiles of pressure, temperature and 21 target species (H2O, O3, HNO3, CH4, N2O, NO2, CFC-11, ClONO2, N2O5, CFC-12, COF2, CCL4, HCN, CFC-14, HCFC-22, C2H2, C2H6, COCl2, CH3Cl, OCS and HDO). It has a global coverage of the Earth stratosphere and mesosphere at all latitudes and longitudes. The vertical resolution of p, T and VMR profiles varies from 3 to 4 km, whereas the horizontal resolution is approximately 300 km to 500 km along track. This depends on the tangent height range and optical properties of the atmosphere. Auxiliary data include spectroscopic data, microwindows data, validation data, initial guess p, T and trace gas VMR profiles. The resolution range of the dataset is: 3 km (vertical) x 30 km (horizontal) at the tangent point. The latest reprocessed MIPAS Level 2 data (v8.22) is available as Standard (MIPAS_2PS) and Extended (MIPAS_2PE) products, both in NetCDF format. Please refer to the MIPAS L2 v8.22 Product Quality Readme file for further details (https://earth.esa.int/eogateway/documents/20142/37627/README_V8_issue_1.0_20201221.pdf/92c27448-eeb9-12ee-cdd9-f643ac9c2baa). proprietary
-ENVISAT.RA2.GDR_2P_NA Envisat RA-2 Geophysical Data Record - GDR [RA2_GDR__2P] ESA STAC Catalog 2002-05-14 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336873-ESA.umm_json This is a RA-2 Geophysical Data Record (GDR) Full Mission Reprocessing (FMR) v3 product containing radar range and orbital altitude, wind speed, wave height, water vapour from the MWR and geophysical corrections. This FMR follows the first Envisat Altimetry reprocessing Version (V2.1) completed in 2012. The GDR and S-GDR data products were reprocessed for all cycles from 6 to 113 (May 2002 to April 2012) into a homogeneous standard in NetCDF format (close to Sentinel-3). For many aspects, the V3.0 reprocessed data are better than the previous dataset: - In terms of available and valid data, the coverage is better, notably thanks to a better availability of MWR data at the beginning of the mission - In terms of performance at cross-overs, the quality is improved: the annual signal and average of Mean SSH is decreased, as well as the standard deviation - The new MWR characteristics were shown to improve largely the global quality of data. As well as the new tide model, the new MSS and the new orbit standard - The Global and regional Mean Sea Level trend is very weakly impacted though the effort was put, this time, on the mesoscale restitution, rather than long term drift, as during V2.1 reprocessing Please consult the Envisat RA-2/MWR Product Quality Readme file pdf before using the data. proprietary
-ENVISAT.RA2.MWS_2P_NA Envisat RA-2 Sensor and Geophysical Data Record - SGDR [RA2_MWS__2P] ESA STAC Catalog 2002-05-14 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336875-ESA.umm_json This is a RA-2 Sensor and Geophysical Data Record (SGDR) Full Mission Reprocessing (FMR) v3 product. This FMR follows the first Envisat Altimetry reprocessing Version (V2.1) completed in 2012. The GDR and S-GDR data products were reprocessed for all cycles from 6 to 113 (May 2002 to April 2012) into a homogeneous standard in NetCDF format (close to Sentinel-3). The Sensor Data Record (SGDR) Product from RA-2/MWR includes the data in the GDR product (https://earth.esa.int/eogateway/catalog/envisat-ra-2-geophysical-data-record-gdr-ra2_gdr__2p-) (RA-2 geophysical data, MWR data) and also RA-2 averaged waveforms (18Hz) and RA-2 individual waveforms (1800Hz). This product is a continuation of ERS RA data. This data product has a coverage of 1 pass, pole-pole, a spatial sampling of about 390 m along track and a size of 31 to 40 MB, depending on presence of individual waveforms. The radiometric accuracy is 0.2 dB and auxiliary data include: Orbit state vectors (DORIS, FOS), RA2 and MWR characterisation data, Platform attitude, Gain calibration, USO frequency, ECMWF data, time relation, leap second, Ionospheric corrections, geoid, mean sea surface, slope data, and tide model (ocean, earth, loading, pole). Please consult the Envisat RA-2/MWR Product Quality Readme file before using the data. proprietary
-ENVISAT.UPA-L2P-L3U_NA Envisat AATSR ARC L2P/L3U [UPA-L2P_GHRSST/UPA-L3U_GHRSST] ESA STAC Catalog 2002-05-20 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336876-ESA.umm_json The L2P product contains full resolution dual-view Sea Surface Temperature (SST) values. These SST use the ARC SST retrieval and cloud screening which differ from the methods used to produce the Gridded Surface Temperature (ATS_NR__2P) products. In addition to SST, the L2P products contain the ATSR Saharan Dust Index (ASDI) and the clear-sky probability estimated by the ARC cloud detection algorithm. The L2P processor also generates L3U products; these are the L2P products averaged onto a regular grid at 0.1 degree resolution (they are therefore similar to the AR / Meteo Envisat-format products). The L2P and L3U products are provided in NetCDF-4 format following GHRSST Data Specifications (GDS) v2. The L2P/L3U archive was reprocessed in 2013 with a new processor based upon the ARC SST; the changes are outlined in full in the L2P Reprocessing User Notehttps://earth.esa.int/eogateway/documents/20142/37627/User%20Note%20for%20%28A%29ATSR%20L2P%20Reprocessing proprietary
+ENVISAT.ASA.APM_1P_9.0 Envisat ASAR AP Medium Resolution L1 [ASA_APM_1P] ESA STAC Catalog 2002-11-15 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336832-ESA.umm_json This ASAR Alternating Polarization Medium Resolution Image product has been generated from Level 0 data collected when the instrument was in Alternating Polarisation Mode. The product has lower geometric resolution but higher radiometric resolution than ASA_APP and contains one or two co-registered images corresponding to one of the three polarisation combination submodes (HH and VV, HH and HV, VV and VH). This product has been processed using the SPECAN algorithm and contains radiometric resolution good enough for ice applications and covers a continuous area along the imaging swath. The ASAR AP L0 full mission data archive has been bulk processed to Level 1 (ASA_APM_1P) in Envisat format with the IPF-ASAR processor version 6.03. Spatial Resolution: 150 m ground range x 150 m azimuth proprietary
+ENVISAT.ASA.APP_1P_8.0 Envisat ASAR AP Precision L1 [ASA_APP_1P] ESA STAC Catalog 2002-11-15 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1532648142-ESA.umm_json This ASAR Alternating Polarisation Mode Precision product is generated from Level 0 data collected when the instrument is in Alternating Polarisation Mode (7 possible swaths). The product contains two CO-registered images corresponding to one of the three polarisation combination submodes (HH and VV, HH and HV, VV and VH). This is a stand-alone multi-look, ground range, narrow swath digital image generated using the SPECAN algorithm and the most up to date auxiliary information available at the time of processing. Engineering corrections and relative calibration (antenna elevation gain, range spreading loss) are applied to compensate for well-understood sources of system variability. Generation of this product uses a technique to allow half the looks of an image to be acquired in horizontal polarisation and the other half in vertical polarisation and processed to 30-m resolution (with the exception of IS1). Absolute calibration parameters are available depending on external calibration activities and are provided in the product annotations. Spatial Resolution: 30 m ground range x 30 m azimuth proprietary
+ENVISAT.ASA.APS_1P_8.0 Envisat ASAR AP Single-Look Complex L1 [ASA_APS_1P] ESA STAC Catalog 2002-11-15 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1532648143-ESA.umm_json This product is a complex, slant-range, digital image generated from Level 0 data collected when the instrument is in Alternating Polarisation mode. (7 possible swaths). It contains two CO-registered images corresponding to one of the three polarisation combination submodes (HH and VV, HH and HV, VV and VH). In addition, the product uses the Range Doppler algorithm and the most up to date processing parameters available at the time of processing. It can be used to derive higher level products for SAR image quality assessment, calibration and interferometric applications, if allowed by the instrument acquisition. A minimum number of corrections and interpolations are performed on the data in order to allow the end-user maximum freedom to derive higher level products. Complex output data is retained to avoid loss of information. Absolute calibration parameters are available depending on external calibration activities and are provided in the product annotations. Spatial Resolution: approximately 8m slant range x approximately 4m azimuth proprietary
+ENVISAT.ASA.GM1_1P_9.0 Envisat ASAR Global Monitoring L1 [ASA_GM1_1P] ESA STAC Catalog 2004-02-02 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336835-ESA.umm_json This product has been generated from Level 0 data collected when the instrument was in Global Monitoring Mode. One product covers a full orbit. The product includes slant range to ground range corrections. This strip-line product is the standard for ASAR Global Monitoring Mode. It is processed to approximately 1 km resolution using the SPECAN algorithm. The swath width is approximately 400 km. The ASAR GM L0 full mission data archive has been bulk processed to Level 1 (ASA_GM1_1P) in Envisat format with the IPF-ASAR processor version 6.03. Spatial Resolution: 1 km ground range x 1 km azimuth. proprietary
+ENVISAT.ASA.IMM_1P_9.0 Envisat ASAR IM Medium Resolution L1 [ASA_IMM_1P] ESA STAC Catalog 2002-10-18 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336836-ESA.umm_json This ASAR Medium Resolution strip-line product has been generated from Level 0 data collected when the instrument was in Image Mode. This product has lower resolution but higher radiometric resolution than the ASA_IMP. The product covers a continuous area along the imaging swath and features an ENL (radiometric resolution) good enough for ice applications. It is intended to perform applications-oriented analysis on large scale phenomena and multi-temporal imaging. This product provides a continuation of the ERS-SAR Image Mode data. The ASAR IM L0 full mission data archive has been bulk processed to Level 1 (ASA_IMM_1P) in Envisat format with the IPF-ASAR processor version 6.03. Spatial Resolution: 150 m ground range x 150 m azimuth proprietary
+ENVISAT.ASA.IMP_1P_8.0 Envisat ASAR IM Precision L1 [ASA_IMP_1P] ESA STAC Catalog 2002-10-18 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1532648144-ESA.umm_json This is a multi-look, ground range, digital Precision Image generated from Level 0 data collected when the instrument was in Image Mode (7 possible swaths HH or VV polarisation). The product includes slant range to ground range correction. It is for users wishing to perform applications-oriented analysis and applies to multi-temporal imaging and to derive backscattering coefficients. The stand-alone image is generated using the Range/Doppler algorithm. The processing uses up to date (at time of processing) auxiliary parameters corrected for antenna elevation gain, and range spreading loss. Engineering corrections and relative calibration are applied to compensate for well-understood sources of system variability. Absolute calibration parameters, when available (depending on external calibration activities) are provided in the product annotations. This product provides a continuation of the ERS-SAR_PRI product. Spatial Resolution: 30 m ground range x 30 m azimuth proprietary
+ENVISAT.ASA.IMS_1P_8.0 Envisat ASAR IM Single Look Complex L1 [ASA_IMS_1P] ESA STAC Catalog 2002-10-18 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1532648145-ESA.umm_json This data product represents a single-look, complex, slant-range, digital image generated from Level 0 ASAR data collected when the instrument is in Image Mode. Seven possible swaths in HH or VV polarisation are available. The product is primarily intended for use in SAR quality assessment and calibration or applications requiring complex SAR images such as interferometry, and can be used to derive higher level products. The spatial coverage is about 100 km along track per 56- 100 km across track, and the radiometric resolution is 1 look in azimuth, 1 look in range. The file size is 741 Mbytes. It is worth highlighting that Azimuth pixel spacing depends on Earth-Satellite relative velocity and actual PRF and slant range pixel spacing is given by ASAR sampling frequency (19.208 Mhz). Auxiliary data include: Orbit state vector, Time correlation parameters, Main Processing parameters ADS, Doppler Centroid ADS, Chirp ADS, Antenna Elevation Pattern ADS, Geolocation Grid ADS, SQ ADS. Spatial Resolution: approximately 8m slant range x approximately 4m azimuth proprietary
+ENVISAT.ASA.IM__0P_9.0 Envisat ASAR IM L0 [ASA_IM__0P] ESA STAC Catalog 2002-10-18 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336838-ESA.umm_json The ASAR Image Mode source packets Level 0 data product offers Level 0 data for possible images processing on an other processing site. It includes some mandatory information for SAR processing. The Image Mode Level 0 product consists of time-ordered Annotated Instrument Source Packets (AISPs) collected by the instrument in Image Mode. The echo samples contained in the AISPs are compressed to 4 bits/sample using Flexible Block Adaptive Quantisation (FBAQ). This is a high-rate, narrow swath mode so data is only acquired for partial orbit segments and may be from one of seven possible image swaths. The Level 0 product is produced systematically for all data acquired within this mode. This product provides a continuation of the ERS-SAR_RAW product. proprietary
+ENVISAT.ASA.WSM_1P_10.0 Envisat ASAR WS Medium Resolution L1 [ASA_WSM_1P] ESA STAC Catalog 2002-10-28 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336840-ESA.umm_json This strip-line product has been generated from Level 0 data collected when the instrument was in Wide Swath Mode. The product includes slant range to ground range corrections and it covers a continuous area along the imaging swath. It is intended to perform applications-oriented analysis on large scale phenomena over a wide region and for multi-temporal imaging. This is the standard product for ASAR Wide Swath Mode. The ASAR WS L0 full mission data archive has been bulk processed to Level 1 (ASA_WSM_1P) in Envisat format with the IPF-ASAR processor version 6.03. Spatial Resolution: 150 m slant range x 150 m azimuth. proprietary
+ENVISAT.ASA.WSS_1P_8.0 Envisat ASAR WS Single Look Complex L1 [ASA_WSS_1P] ESA STAC Catalog 2002-10-28 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1532648146-ESA.umm_json The Level-1B data product offered by ESA from the ASAR Wide-Swath Mode (WS) is the multi-look detected product (ASA_WSM_1P), intended to support applications that exploit intensity data. In order to support the development of new applications with the ASAR ScanSAR data, a WSM product providing phase information has been developed and implemented in the ESA ASAR processor, the Wide-Swath Single-Look complex product (ASA_WSS_1P). This product is mainly used for INSAR applications based either on wide-swath/wide-swath pairs or wide-swath/image mode pairs, applications of ocean current mapping, large-area ocean wave retrievals, and atmospheric water vapour characterisation. It shall be mentioned that the standard ESA WSS product is based on the prototype WSS processor developed by Polimi/Poliba, which has also been used to generate prototype products for testing the potential and preparing the exploitation of the WSS product. The ESA ASA_WSS_1P product is available as a standard Envisat ASAR product. The ASA_WSS_1P product format is slightly different from other ASAR products since: - there are 5 different MDSs, one per sub-swath - a "Doppler Grid" ADS has been included to support ocean current mapping applications - there are 5 records in the MPP ADS, one per sub-swath - there are 5 records in the SQ ADS, one per sub-swath Other key characteristics of the ASA_WSS_1P product are summarised below: - processing is fully phase preserving - data in the MDSs is sampled in a common grid both in range and in azimuth - standard product is 60 sec long with 80 m az. pixel spacing - auxiliary timeline information has been added in the Main Processing Parameters ADS - elevation antenna pattern correction is applied by default (although the product is a single-look complex) - Spatial Resolution: approximately 8 m slant range x 80 m azimuth proprietary
+ENVISAT.ASA.WS__0P_9.0 Envisat ASAR WS L0 [ASA_WS__0P] ESA STAC Catalog 2002-10-28 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336842-ESA.umm_json The WS Mode Level 0 product consists of time-ordered AISPs collected while the instrument was is in Wide Swath Mode. The echo samples in the AISPs have been compressed to 4 bits/sample using FBAQ. This is a high-rate, wide swath (ScanSAR) mode so data is only acquired for partial orbit segments and is composed of data from five image swaths (SS1 to SS5). The Level 0 product is produced systematically for all data acquired within this mode. The objective of this product is to offer Level 0 data for possible images processing on another processing site. It includes mandatory information for SAR processing. Data Size: 400 km across track x 400 km along track proprietary
+ENVISAT.ASA.WVI_1P_7.0 Envisat ASAR Wave SLC and Cross-Spectra Imagettes L1 [ASA_WVI_1P] ESA STAC Catalog 2002-10-30 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336843-ESA.umm_json This is the basic Level 1B ASAR Wave Mode product, including up to 400 single-look, complex, slant range, imagettes generated from Level 0 data, and up to 400 imagette power spectra computed using the cross-spectra methodology. The auxiliary parameters used are the most up to date at the time of processing. A minimum number of corrections and interpolations are performed in order to allow the end-user maximum freedom to derive higher level products. Complex output data is retained to avoid loss of information. Absolute calibration parameters, when available (depending on external calibration activities), are provided in the product annotations. Imagette power spectrum is equivalent to the ERS UWA (Near Real Time) product with revisited algorithm (cross-spectra) taking into account the higher quality of the SLC imagette. Note that starting from an SLC imagette, the generation of an ERS UWA-type product might be ensured by a simple look detection and summation. This product provides a continuation of the ERS SAR Wave Mode data. The ASAR Wave products were processed operationally using the version of PF-ASAR available at the time of processing and are available in Envisat format. Imagette Spatial Resolution: 20 m ground range x 20 m azimuth. Cross Spectra Output: Wavelength range from 20 to 1000 m in 24 logarithmic steps. proprietary
+ENVISAT.ASA.WVS_1P_7.0 Envisat ASAR Wave Cross Spectra Imagette L1 [ASA_WVS_1P] ESA STAC Catalog 2002-12-10 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336844-ESA.umm_json This ASAR Wave Mode product is extracted from the combined SLC and Cross Spectra product,(_$$ASA_WVI_1P$$ https://earth.esa.int/eogateway/catalog/envisat-asar-wave-slc-and-cross-spectra-imagettes-l1-asa_wvi_1p-), which is generated from data collected when the instrument was in Wave Mode using the Cross Spectra methodology. The product is meant for Meteo users. The spatial coverage is up to 20 spectra acquired every 100 km, with a minimum coverage of 5km x 5km. The file size has a maximum of 0.2 Mbytes. Auxiliary data include Orbit state vector, Time correlation parameters, Wave Processing parameters ADS, Wave Geolocation ADS, and SQ ADS. The product provides a continuation of the ERS -SAR Wave Mode data. The ASAR Wave products were processed operationally using the version of PF-ASAR available at the time of .processing and are available in Envisat format. Output: Wavelength range from 20 to 1000 m in 24 logarithmic steps. proprietary
+ENVISAT.ASA.WVW_2P_7.0 Envisat ASAR WM Ocean Wave Spectra L2 [ASA_WVW_2P] ESA STAC Catalog 2002-12-10 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336846-ESA.umm_json This ASAR Wave Mode product is created by inverting the cross-spectra which is computed from inter-look processing of the SLC wave imagettes in order to derive the directional ocean product ocean wave spectra. Auxiliary ADSs included with the product remains the same as for the ASAR Wave Mode Cross-Spectra product (_$$ASA_WVS_1P$$ https://earth.esa.int/eogateway/catalog/envisat-asar-wave-imagette-cross-spectra-l1-asa_wvs_p- ). The output follows the format of the Envisat ASAR Level 1B Wave Mode Cross-Spectra Imagette (_$$ASA_WVS_1P$$ https://earth.esa.int/eogateway/catalog/envisat-asar-wave-imagette-cross-spectra-l1-asa_wvs_p- ) product. This is done in order to be compatible with the ground segment products of Envisat ASAR. This product provides a continuation of the ERS SAR Wave Mode data. The ASAR Wave products were processed operationally using the version of PF-ASAR available at the time of processing and are available in Envisat format. Output: Wavelength range from 20 to 1000 m in 24 logarithmic steps. proprietary
+ENVISAT.DOR.DOP_1P_5.0 Envisat DORIS Doppler [DOR_DOP_1P] ESA STAC Catalog 2002-06-13 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336857-ESA.umm_json This product was generated by the Centre de Traitement Doris Poseidon (CTDP), 3 days after sensing and stored into the F-PAC archive. The file size is 0.5 Mbytes per orbit. proprietary
+ENVISAT.DOR.VOR_AX_7.0 Envisat DORIS Precise Orbit State Vectors [DOR.VOR_AX] ESA STAC Catalog 2002-04-09 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336859-ESA.umm_json The latest version of the Envisat DORIS Precise Orbit product (DOR_VOR_AX) was generated by the Centre de Traitement Doris Poseidon (CTDP) using the Geophysical Data Records F standards (GDR-F). The product is used to obtain the satellite orbital parameters (latitude, longitude, height and height rate) by using orbit computation routines. The most significant changes related to the GDR-F standards concern the new ocean tide model (FES2014) and the updated Terrestrial Reference Frame (ITRF2014). The new standards significantly improve all Precise Orbit Determination (POD) metrics with respect to GDR-E: the mean difference and variance of Sea Surface Height (SSH) at crossovers is slightly reduced. The DOR_VOR_AX product adopts the Envisat format, and the size is 0.2 Mbytes per orbit. Users are recommended to apply the GDR-F version, but the previous datasets are still available (i.e. GDR-D and GDR-E versions). See further details in the readme file (https://earth.esa.int/eogateway/documents/20142/37627/Readme-file-for-Envisat-DORIS-POD.pdf/e94f32f0-3776-788b-abaf-3901ad26440c) for Envisat DORIS Precise Orbit Determination files. https://earth.esa.int/eogateway/documents/20142/1565579/DOR-VOR-AX-Description.png proprietary
+ENVISAT.GOM.LIM_1P_6.0 Envisat GOMOS Level 1b - Limb spectra [GOM_LIM_1P] ESA STAC Catalog 2002-04-15 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336861-ESA.umm_json This data product describes localised calibrated upper and lower background limb spectra (flat-field corrected, with and without stray light). Coverage is as follows: - Elevation range: C25+62 deg to +68 deg - Azimuth range: +90 deg to +190 deg (with respect to the flight direction). The file size is Mbytes/occultation, depending on the duration of the occultation. proprietary
+ENVISAT.GOM.NL__2P_6.0 Envisat GOMOS Level 2 - Atmospheric constituents profiles [GOM_NL__2P] ESA STAC Catalog 2002-04-15 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336863-ESA.umm_json This data product describes atmospheric constituents profiles. In particular the vertical and line density profiles of ozone, NO2, NO3, O2, H2O, air, aerosols, temperature, turbulence. Coverage is as follows: - Elevation range: +62 deg to +68 deg - Azimuth range: +90 deg to +190 deg (with respect to the flight direction) The file size is 1 Mbyte/occultation, depending on the duration of the occultation. proprietary
+ENVISAT.GOM.TRA_1P_6.0 Envisat GOMOS Geolocated Calibrated Transmission Spectra and Photometer Fluxes [GOM_TRA_1P] ESA STAC Catalog 2002-04-15 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336864-ESA.umm_json This data product describes the geolocated and calibrated transmission spectra products, containing the full transmission and the covariance spectra needed for the Level 2 processing. Coverage is as follows: - Elevation range: +62 deg to +68 deg - Azimuth range: +90 deg to +190 deg (with respect to the flight direction) The file size is 1 MB/occultation, depending on the duration of the occultation. proprietary
+ENVISAT.GOM_EXT_2P_6.0 Envisat GOMOS Level 2 - Residual extinction [GOM_EXT_2P] ESA STAC Catalog 2002-04-15 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336865-ESA.umm_json Re-computed transmission spectra corrected for scintillation and dilution effects, before and after inversion. Coverage is as follows: - Elevation range: +62 deg to +68 deg - Azimuth range: +90 deg to +190 deg (with respect to the flight direction) The file size is 1 Mbyte/occultation, depending on the duration of the occultation. proprietary
+ENVISAT.MIP.NL__1P_5.0 Envisat MIPAS L1 - Geo-located and calibrated atmospheric spectra [MIP_NL__1P] ESA STAC Catalog 2002-07-01 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336871-ESA.umm_json This MIPAS Level 1 data product covers the geo-located, spectrally and radiometrically calibrated limb emission spectra in the 685-2410 cm-1 wave number range. It comprises 5 bands: 685-980 cm-1, 1010-1180 cm-1, 1205-1510 cm-1, 1560-1760 cm-1, 1810-2410 cm-1 and covers the following spatial ranges: -Tangent height range: 5 to 170 km -Pointing range: (azimuth pointing range relative to satellite velocity vector): 160 deg - 195 deg (rearward anti-flight direction); 80 deg - 110 deg (sideward anti-Sun direction) The instantaneous field of view (IFOV) is 0.05230 (elevation) x 0.5230 (azimuth) deg. The length of measurement cell for an individual height step is approximately 300-500 km (dependent on tangent height and optical properties of the atmosphere). The spectral resolution spans from 0.030 to 0.035 cm-1, with a radiometric sensitivity of 4.2 to 50 nW / cm-1 / sr / cm2. The resolution range of the dataset is: 3 km (vertical) x 30 km (horizontal) at the tangent point. Please consult the Product Quality Readme - https://earth.esa.int/documents/700255/3711375/Read_Me_File_MIP_NL__1PY_ESA-EOPG-EBA-TN-1+issue1.1.pdf - file for MIPAS Level 1b IPF 8.03 before using the data. proprietary
+ENVISAT.MIP.NL__2P_5.0 Envisat MIPAS L2 - Temperature, pressure and atmospheric constituents profiles [MIPAS_2PS/2PE] ESA STAC Catalog 2002-07-01 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336872-ESA.umm_json "This MIPAS Level 2 data product describes localised vertical profiles of pressure, temperature and 21 target species (H2O, O3, HNO3, CH4, N2O, NO2, CFC-11, ClONO2, N2O5, CFC-12, COF2, CCL4, HCN, CFC-14, HCFC-22, C2H2, C2H6, COCl2, CH3Cl, OCS and HDO). It has a global coverage of Earth's stratosphere and mesosphere at all latitudes and longitudes. The vertical resolution of p, T and VMR profiles varies from 3 to 4 km, whereas the horizontal resolution is approximately 300 km to 500 km along track. This depends on the tangent height range and optical properties of the atmosphere. Auxiliary data include spectroscopic data, microwindows data, validation data, initial guess p, T and trace gas VMR profiles. The resolution range of the dataset is: 3 km (vertical) x 30 km (horizontal) at the tangent point. The latest reprocessed MIPAS Level 2 data (v8.22) is available as 1) Standard products (MIPAS_2PS): A complete product containing 22 MIPAS L2 chemical species covering a single orbit and single species providing information generally needed by data users. 2) Extended products (MIPAS_2PE): A complete product containing 22 MIPAS L2 chemical species covering a single orbit and single species intended for diagnostics and expert users who need complete information about the retrieval process. Both products are available in NetCDF format Please refer to the MIPAS L2 v8.22 _$$Product Quality Readme file$$ https://earth.esa.int/eogateway/documents/20142/37627/README_V8_issue_1.0_20201221.pdf for further details." proprietary
+ENVISAT.RA2.GDR_2P_7.0 Envisat RA-2 Geophysical Data Record - GDR [RA2_GDR__2P] ESA STAC Catalog 2002-05-14 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336873-ESA.umm_json "This is a RA-2 Geophysical Data Record (GDR) Full Mission Reprocessing (FMR) v3 product containing radar range and orbital altitude, wind speed, wave height, water vapour from the MWR and geophysical corrections. This FMR follows the first Envisat Altimetry reprocessing Version (V2.1) completed in 2012. The GDR and S-GDR data products were reprocessed for all cycles from 6 to 113 (May 2002 to April 2012) into a homogeneous standard in NetCDF format (close to Sentinel-3). For many aspects, the V3.0 reprocessed data are better than the previous dataset: - In terms of available and valid data, the coverage is better, notably thanks to a better availability of MWR data at the beginning of the mission - In terms of performance at cross-overs, the quality is improved: the annual signal and average of Mean SSH is decreased, as well as the standard deviation - The new MWR characteristics were shown to improve largely the global quality of data. As well as the new tide model, the new MSS and the new orbit standard - The Global and regional Mean Sea Level trend is very weakly impacted though the effort was put, this time, on the mesoscale restitution, rather than long term drift, as during V2.1 reprocessing Please consult the Envisat RA-2/MWR Product Quality Readme file pdf before using the data. The creation of the Fundamental Data Records (FDR4ALT) datasets _$$released in March 2024$$ https://earth.esa.int/eogateway/news/fdr4alt-esa-unveils-new-cutting-edge-ers-envisat-altimeter-and-microwave-radiometer-dataset , represent the new reference data for the ERS/Envisat altimetry missions, superseding any previous mission data. Users are therefore strongly encouraged to make use of these new datasets for optimal results. The records are aimed at different user communities and include the following datasets: 1. _$$Fundamental Data Records for Altimetry$$ https://earth.esa.int/eogateway/catalog/fdr-for-altimetry 2. _$$Fundamental Data Records for Radiometry$$ https://earth.esa.int/eogateway/catalog/fdr-for-radiometry 3. _$$Atmospheric Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-atmosphere 4. _$$Inland Waters Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-inland-water 5. _$$Land Ice Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-land-ice 6. _$$Ocean & Coastal Topography Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-ocean-and-coastal-topography 7. _$$Ocean Waves Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-ocean-waves 8. _$$Sea Ice Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-sea-ice " proprietary
+ENVISAT.RA2.MWS_2P_7.0 Envisat RA-2 Sensor and Geophysical Data Record - SGDR [RA2_MWS__2P] ESA STAC Catalog 2002-05-14 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336875-ESA.umm_json "This is a RA-2 Sensor and Geophysical Data Record (SGDR) Full Mission Reprocessing (FMR) v3 product. This FMR follows the first Envisat Altimetry reprocessing Version (V2.1) completed in 2012. The GDR and S-GDR data products were reprocessed for all cycles from 6 to 113 (May 2002 to April 2012) into a homogeneous standard in NetCDF format (close to Sentinel-3). The Sensor Data Record (SGDR) Product from RA-2/MWR includes the data in the GDR product (https://earth.esa.int/eogateway/catalog/envisat-ra-2-geophysical-data-record-gdr-ra2_gdr__2p-) (RA-2 geophysical data, MWR data) and also RA-2 averaged waveforms (18Hz) and RA-2 individual waveforms (1800Hz). This product is a continuation of ERS RA data. This data product has a coverage of 1 pass, pole-pole, a spatial sampling of about 390 m along track and a size of 31 to 40 MB, depending on presence of individual waveforms. The radiometric accuracy is 0.2 dB and auxiliary data include: Orbit state vectors (DORIS, FOS), RA2 and MWR characterisation data, Platform attitude, Gain calibration, USO frequency, ECMWF data, time relation, leap second, Ionospheric corrections, geoid, mean sea surface, slope data, and tide model (ocean, earth, loading, pole). Please consult the Envisat RA-2/MWR Product Quality Readme file before using the data. The creation of the Fundamental Data Records (FDR4ALT) datasets _$$released in March 2024$$ https://earth.esa.int/eogateway/news/fdr4alt-esa-unveils-new-cutting-edge-ers-envisat-altimeter-and-microwave-radiometer-dataset , represent the new reference data for the ERS/Envisat altimetry missions, superseding any previous mission data. Users are therefore strongly encouraged to make use of these new datasets for optimal results. The records are aimed at different user communities and include the following datasets: 1. _$$Fundamental Data Records for Altimetry$$ https://earth.esa.int/eogateway/catalog/fdr-for-altimetry 2. _$$Fundamental Data Records for Radiometry$$ https://earth.esa.int/eogateway/catalog/fdr-for-radiometry 3. _$$Atmospheric Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-atmosphere 4. _$$Inland Waters Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-inland-water 5. _$$Land Ice Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-land-ice 6. _$$Ocean & Coastal Topography Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-ocean-and-coastal-topography 7. _$$Ocean Waves Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-ocean-waves 8. _$$Sea Ice Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-sea-ice " proprietary
ENVISAT_SCIAMACHY_SIF_1871_1 L2 Solar-Induced Fluorescence (SIF) from SCIAMACHY, 2003-2012 ORNL_CLOUD STAC Catalog 2003-01-01 2012-04-08 -180, -58, 180, 70 https://cmr.earthdata.nasa.gov/search/concepts/C2207986936-ORNL_CLOUD.umm_json This dataset provides Level 2 (L2) Solar-Induced Fluorescence (SIF) of chlorophyll estimates derived from the SCanning Imaging Absorption spectroMeter for Atmospheric CartograpHY (SCIAMACHY) instrument on the European Space Agency's (ESA's) Environmental satellite (Envisat) with ~0.5 nm spectral resolution and wavelengths between 734 and 758 nm. SCIAMACHY covers global land between approximately 70 and -57 degrees latitude on an orbital basis at a resolution of approximately 30 km x 240 km. Data are provided for the period from 2003-01-01 to 2012-04-08. Each file contains daily raw and bias-adjusted solar-induced fluorescence along with quality control information and ancillary data. proprietary
EO:EUM:CM:METOP:ASCSZFR02_2014-10-07 ASCAT L1 SZF Climate Data Record Release 2 - Metop EUMETSAT STAC Catalog 2007-01-01 2014-03-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1588901388-EUMETSAT.umm_json Reprocessed L1B data from the Advanced Scatterometer (ASCAT) on METOP-A, resampled at full resolution (SZF). Normalized radar cross section (NRCS) of the Earth surface together with measurement time, location (latitude and longitude) and geometrical information (incidence and azimuth angles). The prime objective of the Advanced SCATterometer (ASCAT) is to measure wind speed and direction over the oceans, and the main operational application is the assimilation of ocean winds in NWP models. Other operational applications, based on the use of measurements of the backscattering coefficient, are sea ice edge detection and monitoring, monitoring sea ice, snow cover, soil moisture and surface parameters. This product is also available at 12.5 and 25 km Swath Grids. This is a Fundamental Climate Data Record (FCDR). proprietary
EO:EUM:CM:METOP:ASCSZOR02_2014-10-07 ASCAT L1 SZO Climate Data Record Release 2 - Metop EUMETSAT STAC Catalog 2007-01-01 2014-03-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1588901391-EUMETSAT.umm_json Reprocessed L1B data from the Advanced Scatterometer (ASCAT) on METOP-A, resampled at 25 km Swath Grid (SZO). Normalized radar cross section (NRCS) triplets of the Earth surface together with measurement time, location (latitude and longitude) and geometrical information (incidence and azimuth angles). The prime objective of the Advanced SCATterometer (ASCAT) is to measure wind speed and direction over the oceans, and the main operational application is the assimilation of ocean winds in NWP models. Other operational applications, based on the use of measurements of the backscattering coefficient, are sea ice edge detection and monitoring, monitoring sea ice, snow cover, soil moisture and surface parameters. This product is also available at full resolution and at 12.5 km Swath Grid. This is a Fundamental Climate Data Record (FCDR). proprietary
@@ -5087,28 +5079,26 @@ ERS-1_L1_1 ERS-1_LEVEL1 ASF STAC Catalog 1991-08-08 1997-09-29 -180, -90, 180, 9
ERS-2_BYU_L3_OW_SIGMA0_ENHANCED_1 ERS-2 Gridded Level 3 Enhanced Resolution Sigma-0 from BYU POCLOUD STAC Catalog 1996-06-03 2001-12-30 -180, -79.7, 180, 88.2 https://cmr.earthdata.nasa.gov/search/concepts/C2617226211-POCLOUD.umm_json This European Remote Sensing (ERS) Sigma-0 dataset is generated by the Scatterometer Climate Record Pathfinder (SCP) project at Brigham Young University (BYU) and is generated using a Scatterometer Image Reconstruction (SIR) technique developed by Dr. David Long at BYU. The dataset provides SIR processed Sigma-0 data from the ERS-2 C-band scatterometer, which is also known as the Active Microwave Instrument (AMI). AMI is a multimode radar operating at a frequency of 5.3 GHz (C-band), using vertically polarized antennas for both transmission and reception. The SIR technique results in an enhanced resolution image reconstruction and gridded on an equal-area grid (for non-polar regions) at 8.9 km pixel resolution stored in SIR files; polar regions are gridded at the same resolution using a polar-stereographic technique. A non-enhanced version is provided at 44.5 km pixel resolution in a format known as GRD (i.e., gridded) files. All files are produced in IEEE formatted binary. All data files are separated and organized by region, parameter, and sampling technique (i.e., SIR vs. GRD). The regions of China and Japan are combined into a single region. In addition to Sigma-0, various statistical parameters are provided for added guidance, including but not limited to: standard deviation, measurement counts, pixel time, Sigma-0 error, and average incidence angle. This dataset was once distributed on tape, but has been made available on FTP thanks to the BYU SCP. For more information, please visit: http://www.scp.byu.edu/docs/ERS_user_notes.html proprietary
ERS-2_L0_1 ERS-2_LEVEL0 ASF STAC Catalog 1995-10-01 2011-07-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1208794942-ASF.umm_json ERS-2 Standard Beam Data Level 0 proprietary
ERS-2_L1_1 ERS-2_LEVEL1 ASF STAC Catalog 1995-10-01 2011-07-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1209373626-ASF.umm_json ERS-2 Standard Beam Data Level 1 proprietary
-ERS.ASPS20_NA ERS-1/2 SCATTEROMETER Ocean Wind field and Sea Ice probability [ASPS20.H/ASPS20.N] ESA STAC Catalog 1991-08-01 2011-07-04 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1965336877-ESA.umm_json The ASPS Level 2 products contain, for each node: the radar backscattering sigma nought for the three beams of the instrument, the four aliased wind solutions (Rank 1-4 wind vector) and the de-aliased wind vector flag, the sea-ice probability and sea-ice flag, the YAW quality flag. The wind retrieval is performed with the CMOD5N geophysical model function derived by ECMWF to compute the neutral winds rather than 10m winds. ASPS L2.0 High resolution products are provided with a spatial resolution of 25x25 km and a grid spacing of 12.5 km. ASPS L2.0 Nominal resolution products are provided with a spatial resolution of 50x50 km and a grid spacing of 25 km. One product covers one orbit from ascending node crossing. Please consult the Product Quality Readme (https://earth.esa.int/eogateway/documents/20142/37627/ERS-WS-Product-Quality-Readmefile-ENVI-GSOP-EOGD-QD-15-0130-issue1.2.pdf) file before using the ERS ASPS data. proprietary
-ERS.ATS_AVG_3PAARC_NA ERS-1/2 ATSR ARC Level 3 products [AT1/AT2_AVG_3PAARC] ESA STAC Catalog 1991-08-01 2003-06-22 -180, -78, 180, 85 https://cmr.earthdata.nasa.gov/search/concepts/C1965336878-ESA.umm_json The recommended ATSR Level 3 products for Sea Surface Temperature (SST) applications are the ARC (ATSR Re-processing for Climate) Level 3 products. ARC reprocesses the ATSR multi-mission archive using new cloud detection and SST retrievals to produce a homogenous record of sea surface temperature. The main ARC objective is to reduce regional biases in retrieved SST to less than 0.1 K for all global oceans while creating a very homogenous record with a stability (lack of drift in the observing system and analysis) of 0.05 K per decade. ARC products are available for ATSR-1, ATSR-2 and AATSR. ARC products are provided in netCDF format and contain data for both the skin SST and the SST estimated for depths of 0.2 and 1.0 m (corresponding approximately to drifter and moored buoy depths). The AATSR estimated depth SSTs are adjusted to a local equatorial crossing time of 10:30 (approximately half an hour after observation), to provide continuity with ATSR-1 and ATSR-2 data. The ARC project was led by Chris Merchant (University of Reading, formerly of the University of Edinburgh) and funded by NERC and the UK Government. proprietary
-ERS.AT_AR__2P_NA ERS-1/2 ATSR Averaged Surface Temperature [AT1/AT2_AR__2P] ESA STAC Catalog 1991-08-01 2003-06-22 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1965336880-ESA.umm_json The Averaged Surface Temperature Product (AST) contains averaged geophysical data at two different resolutions, and with respect to two different averaging schemes: measurement data sets at resolutions of 0.5 by 0.5 degrees and 10 by 10 arcmin with respect to a latitude/longitude grid; other data sets contain data averaged over equal area cells of 50 by 50 km and 17 by 17 km aligned with the satellite ground track. Both top-of-atmosphere and surface data sets are provided. The surface temperature data sets provide, for sea cells, nadir and dual view sea surface temperatures, and for land cells, land surface temperature (currently 11 micron BT) and NDVI. Cloud data is also included. No ADS are included in the AST product; auxiliary data is contained within the MDS. The data sets of the AST product are arranged by surface type and resolution. The 3rd reprocessing of ATSR data was performed in 2013; the processing updates that have been put in place and the scientific improvements are outlined in full in the User Summary Note for the Third ERS ATSR Reprocessing (https://earth.esa.int/eogateway/documents/20142/37627/IDEAS-VEG-OQC-REP-2148-%28A%29ATSR-Third+Reprocessing-Dataset-User-Summary-v1-0.pdf) proprietary
-ERS.AT_MET_2P_NA ERS-1/2 ATSR Meteo Product [AT1/AT2_MET_2P] ESA STAC Catalog 1991-08-01 2003-06-22 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1965336881-ESA.umm_json The data is a fast delivery Meteo product designed for use by meteorological offices, and contains averaged BT and SST at 10 arc minute resolution. The single MDS comprises the fields of MDS#3 (SST record, 10 arc min cell) of the AST product, with the addition of Average Brightness Temperature (ABT) fields (BT/TOA sea record, 10 arc min cell) to make it more self-contained. The 3rd reprocessing of ATSR data was performed in 2013; the processing updates that have been put in place and the scientific improvements are outlined in full in the User Summary Note for the Third ERS ATSR Reprocessing (https://earth.esa.int/eogateway/documents/20142/37627/IDEAS-VEG-OQC-REP-2148-%28A%29ATSR-Third+Reprocessing-Dataset-User-Summary-v1-0.pdf). proprietary
-ERS.AT_NR__2P_NA ERS-1/2 ATSR Gridded Surface Temperature [AT1/AT2_NR__2P] ESA STAC Catalog 1991-08-01 2003-06-22 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1965336882-ESA.umm_json The Gridded Surface Temperature (GST) Product is the Level 2 full resolution geophysical product. The product contains gridded sea-surface temperature images using both nadir and dual view retrieval algorithms. The product includes pixel latitude/longitude positions, X/Y offset and the results of the cloud-clearing/land-flagging. It contains a single measurement data set the content of which is switchable, that is to say, the content of each pixel field will depend on the surface type. Specifically, the contents of the data fields will depend on the setting of the forward and nadir cloud flags and the land flag. The 3rd reprocessing of ATSR data was performed in 2013; the processing updates that have been put in place and the scientific improvements are outlined in full in the User Summary Note for the Third ERS ATSR Reprocessing (https://earth.esa.int/eogateway/documents/20142/37627/IDEAS-VEG-OQC-REP-2148-%28A%29ATSR-Third+Reprocessing-Dataset-User-Summary-v1-0.pdf). proprietary
-ERS.AT_TOA_1P_NA ERS-1/2 ATSR Gridded Brightness Temperature/Reflectance [AT1/AT2_TOA_1P] ESA STAC Catalog 1991-08-01 2003-06-22 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1965336883-ESA.umm_json The Gridded Brightness Temperature/Reflectance (GBTR) product contains top of atmosphere (TOA) brightness temperature (BT) values for the infra-red channels and reflectance values for the visible channels. Values for each channel and for the nadir and forward views occupy separate measurement data sets. Additional MDS contain cloud and land/sea flags and confidence flags for each image pixel. The 3rd reprocessing of ATSR data was performed in 2013; the processing updates that have been put in place and the scientific improvements are outlined in full in the User Summary Note for the Third ERS ATSR Reprocessing (https://earth.esa.int/eogateway/documents/20142/37627/IDEAS-VEG-OQC-REP-2148-%28A%29ATSR-Third+Reprocessing-Dataset-User-Summary-v1-0.pdf) proprietary
-ERS.GOM.L1_NA ERS-2 GOME Spectral Product L1 ESA STAC Catalog 1995-06-28 2011-07-02 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336887-ESA.umm_json GOME Level 1 products contain Earthshine radiance at the Top of the Atmosphere and solar irradiance spectra. They were generated by DLR on behalf of the European Space Agency with Level 1 GOME Data Processor (GDP-L1) starting from the Extracted GOME Calibration (EGOC) Level 0 data files. Originally raw detector signals (binary Analog to Digital Converted units) of the science measurements plus calibration constants were provided (dataset version 4 and lower), but following the end of the operational phase of the ERS-2 mission (2 July 2011), as part of ESA's post-operational algorithm improvement activities (Coldewey-Egbers et al., 2018), the GOME Level 1 data type was entirely revised and a dataset of fully calibrated and ready to use data was generated with GOME processor version 5.1. The version 5.1 data bring relevant quality improvements for the revised calibration approach, compensating aging and instrument degradation, and provide enhanced accessibility. The version 5.1 data are in NetCDF format and differ fundamentally from the previous GOME Level 1 data, having the Envisat proprietary format and basically containing Level 1a data where a dedicated extraction software tool had to be applied by end user to obtain spectrally and radiometrically calibrated radiances (including the correction for polarisation, leakage current and stray light). Such calibrations are now applied to the version 5.1 L1b data product in the standard processing. Users of GOME Level 1 products are strongly recommended to migrate to the latest reprocessed dataset. Please consult the GOME Product Quality Readme file before using the data. (https://earth.esa.int/eogateway/documents/20142/37627/GOME-TCWV-Product-sQuality-Readme-File.pdf) proprietary
-ERS.GOM.L2_NA ERS-2 GOME Total Column Amount of Trace Gases Product ESA STAC Catalog 1995-06-28 2011-07-02 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336888-ESA.umm_json GOME Level 2 products were generated by DLR on behalf of the European Space Agency, and are the end result of the Level 1 to 2 reprocessing campaign of GOME Level 1 version 4 data with Level 2 GOME Data Processor (GDP) version 5.0 (HDF-5 format). The GOME Level 2 data product comprises the product header, total column densities of ozone and nitrogen dioxide and their associated errors, cloud properties and selected geo-location information, diagnostics from the Level 1 to 2 algorithms and a small amount of statistical information. proprietary
-ERS.ORB.POD_NA ERS PRARE Precise Orbit Products [ERS.ORB.POD/ERS.ORB.PRC] ESA STAC Catalog 1991-08-03 2011-07-18 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1965336890-ESA.umm_json "The precise orbit results from a data reduction process in which all available tracking data (Single-Lens Reflex, radar altimeter crossovers, PRARE range and Doppler data) and most accurate correction, transformation and dynamical models are taken into account and in which high level numerical procedures are applied. These orbits are ""optimal"" achievable representations of the real orbital motion under the circumstances of tracking situation and the ""state of the art"" model situation. The precise orbit product for the ERS satellites are the satellite ephemeris (position and velocity vector) including time tag, given in a well-defined reference frame, together with the nominal satellite attitude information and a radial orbit correction. Several orbit solutions are currently distributed: A new set of ORB POD (Precise Orbit Determination - REAPER v2) computed with the most updated model standards for the complete ERS-1 and ERS-2 mission. A previous set of ORB POD (REAPER v1) data already available on the ESA dissemination site since 2014, covering the ERS-1 full mission and the ERS-2 mission up to July 2003. ORB PRC which is the original Precise Orbit dataset computed during the ERS mission operations for ERS-1 and ERS-2. In the new POD dataset (REAPER v2) for the ERS-1 and ERS-2 missions, two different orbit solutions are provided together with the combined solution to be used for processing of the radar altimeter measurements and the determination of geodetic/geophysical products: those computed by DEOS (Delft Institute of Earth Observation and Space Systems), and those generated by ESOC (European Space Operations Centre) using different software (GEODYN and NAPEOS respectively). Careful evaluation of the various solutions of REAPER v2 has shown that the DEOS solution for both ERS-1 and ERS-2 has the best performance and is recommended to be used as reference. See the ERS Orbit Validation Report (https://earth.esa.int/eogateway/documents/20142/37627/ERS-Orbit-Validation-Report.pdf). For the previous version of the POD data set (REAPER v1), with ERS-2 mission data only up to 2003, three different orbit solutions together with the combined solution are available. These precise orbits for ERS-1 and ERS-2 have been computed at DEOS, ESOC, and GFZ (Deutschen GeoForschungsZentrums) using different software and different altimeter databases. Combined solutions have been created using three individual solutions for each satellite. All orbits were derived using consistent models in the same LPOD2005 terrestrial reference frame. These new orbit solutions show notable improvement with respect to DGME04 orbits (Scharroo and Visser, 1998). Thus, RMS crossover differences of new orbits improved by 4-9 mm. Careful evaluation of the various solutions has shown that the combined solution for both ERS-1 and ERS-2 has the best performance. All POD orbit files (REAPER v1/v2) are available in SP3c format (ftp://igscb.jpl.nasa.gov/igscb/data/format/sp3c.txt)." proprietary
-ERS.SSM_NA ERS-2 SCATTEROMETER Surface Soil Moisture Time Series and Orbit product in High and Nominal Resolution [SSM.H/N.TS - SSM.H/N] ESA STAC Catalog 1996-03-26 2011-07-04 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1965336893-ESA.umm_json Surface soil moisture records are derived from the backscatter coefficient measured by the Scatterometer on-board the European Remote Sensing satellite (ERS-2) using the Technische Universität (TU) Wien soil moisture retrieval algorithm called WARP (WAter Retrieval Package). In the WARP algorithm, the relative surface soil moisture estimates, given in degree of saturation Sd, range between 0% and 100% are derived by scaling the normalized backscatter between the lowest/highest backscatter values corresponding to the driest/wettest soil conditions. Surface Soil Moisture - Time Series product: The products generated are the surface soil moisture time series, where for each grid point defined in a DGG (Discrete Global Grid) is stored the time series of soil moisture and its noise, the surface state flag, the geolocation and the satellite parameters. The spatial resolution of the products is about 25 km x 25 km (high resolution) or 50 km x 50 km (nominal resolution) geo-referenced on the WARP grid. The location of the points can be viewed interactively with the tool DGG Point Locator (http://rs.geo.tuwien.ac.at/dv/dgg). Surface Soil Moisture - Orbit product: In addition to WARP, a second software package, referred to as WARP orbit, was developed in response to the strong demand of soil moisture estimates in satellite orbit geometry. The Level 2 soil moisture orbit product contains a series of Level 1 data information, such as the backscatter, the incidence angle and the azimuth angle for each triplet together with the surface soil moisture and its noise, normalized backscatter at 40° incidence angle, parameters useful for soil moisture, the geolocation and the satellite parameters. The soil moisture orbit product is available in two spatial resolutions with different spatial sampling distances: - Spatial sampling on a regular 12.5 km grid in orbit geometry with a spatial resolution of about 25 km x 25 km (high resolution) - Spatial sampling on a regular 25 km grid in orbit geometry with a spatial resolution of about 50 km x 50 km (nominal resolution) The spatial resolution is defined by the Hamming window function, which is used for re-sample of raw backscatter measurements to the orbit grid in the Level-1 ground processor. Please consult the Product Quality Readme file (https://earth.esa.int/eogateway/documents/20142/37627/ERS-WS-SoilMoisture-Readme-ESA-EOPG-EBA-TN-2-issue1.0.pdf) before using the ERS-2 Surface Soil Moisture data. proprietary
-ERS.UPA-L2P-L3U_NA ERS-1/2 ATSR ARC L2P/L3U [UPA-L2P_GHRSST/L3U_GHRSST] ESA STAC Catalog 1991-08-01 2003-06-22 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1965336896-ESA.umm_json The L2P product contains full resolution dual-view Sea Surface Temperature (SST) values. These SST use the ARC SST retrieval and cloud screening which differ from the methods used to produce the Gridded Surface Temperature (ATS_NR__2P) products. In addition to SST, the L2P products contain the ATSR Saharan Dust Index (ASDI) and the clear-sky probability estimated by the ARC cloud detection algorithm. The L2P processor also generates L3U products; these are the L2P products averaged onto a regular grid at 0.1 degree resolution (they are therefore similar to the AR / Meteo Envisat-format products). The L2P and L3U products are provided in NetCDF-4 format following GHRSST Data Specifications (GDS) v2. The L2P/L3U archive has been reprocessed with a new processor based upon the ARC SST; the changes are outlined in full in the L2P Reprocessing User Note. https://earth.esa.int/eogateway/documents/20142/37627/User%20Note%20for%20%28A%29ATSR%20L2P%20Reprocessing proprietary
-ERS.UWI_NA ERS-1/2 SCATTEROMETER Nominal Resolution back-scattering measurements, Ocean Wind field [UWI] ESA STAC Catalog 1991-08-01 2011-07-04 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1965336898-ESA.umm_json The ERS data reprocessed with the ASPS facility is also available in the UWI format to maintain the compatibility with the FD (Fast Delivery) products. The ASPS UWI product is organised in frames of 500 x 500 km providing the radar backscattering sigma nought for the three beams of the instrument plus the wind speed and direction. The wind retrieval is performed with the CMOD5N geophysical model function derived by ECMWF to compute the neutral winds rather than 10m winds. ASPS UWI products are provided with a spatial resolution of 50x50km and a grid spacing of 25 km. One product covers one orbit from ascending node crossing. Please consult the Product Quality Readme file (https://earth.esa.int/eogateway/documents/20142/37627/ERS-WS-Product-Quality-Readmefile-ENVI-GSOP-EOGD-QD-15-0130-issue1.2.pdf) before using the ERS ASPS data. proprietary
+ERS.ASPS20_7.0 ERS-1/2 SCATTEROMETER Ocean Wind field and Sea Ice probability [ASPS20.H/ASPS20.N] ESA STAC Catalog 1991-08-01 2011-07-04 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1965336877-ESA.umm_json The ASPS Level 2 products contain, for each node: the radar backscattering sigma nought for the three beams of the instrument, the four aliased wind solutions (Rank 1-4 wind vector) and the de-aliased wind vector flag, the sea-ice probability and sea-ice flag, the YAW quality flag. The wind retrieval is performed with the CMOD5N geophysical model function derived by ECMWF to compute the neutral winds rather than 10 m winds. ASPS L2.0 High resolution products are provided with a spatial resolution of 25x25 km and a grid spacing of 12.5 km. ASPS L2.0 Nominal resolution products are provided with a spatial resolution of 50x50 km and a grid spacing of 25 km. One product covers one orbit from ascending node crossing. Please consult the _$$Product Quality Readme$$ https://earth.esa.int/eogateway/documents/20142/37627/ERS_WS_Readme-ENVI-GSOP-EOGD-QD-15-0130_issue1.2.pdf file before using the ERS ASPS data. proprietary
+ERS.GOM.L1_5.0 ERS-2 GOME Spectral Product L1 ESA STAC Catalog 1995-06-28 2011-07-02 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336887-ESA.umm_json GOME Level 1 products contain Earthshine radiance at the Top of the Atmosphere and solar irradiance spectra. They were generated by DLR on behalf of the European Space Agency with Level 1 GOME Data Processor (GDP-L1) starting from the Extracted GOME Calibration (EGOC) Level 0 data files. Originally raw detector signals (binary Analog to Digital Converted units) of the science measurements plus calibration constants were provided (dataset version 4 and lower), but following the end of the operational phase of the ERS-2 mission (2 July 2011), as part of ESA's post-operational algorithm improvement activities (Coldewey-Egbers et al., 2018), the GOME Level 1 data type was entirely revised and a dataset of fully calibrated and ready to use data was generated with GOME processor version 5.1. The version 5.1 data bring relevant quality improvements for the revised calibration approach, compensating aging and instrument degradation, and provide enhanced accessibility. The version 5.1 data are in NetCDF format and differ fundamentally from the previous GOME Level 1 data, having the Envisat proprietary format and basically containing Level 1a data where a dedicated extraction software tool had to be applied by end user to obtain spectrally and radiometrically calibrated radiances (including the correction for polarisation, leakage current and stray light). Such calibrations are now applied to the version 5.1 L1b data product in the standard processing. Users of GOME Level 1 products are strongly recommended to migrate to the latest reprocessed dataset. Please consult the GOME Product Quality Readme file before using the data. (https://earth.esa.int/eogateway/documents/20142/37627/GOME-TCWV-Product-sQuality-Readme-File.pdf) proprietary
+ERS.GOM.L2_4.0 ERS-2 GOME Total Column Amount of Trace Gases Product ESA STAC Catalog 1995-06-28 2011-07-02 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336888-ESA.umm_json GOME Level 2 products were generated by DLR on behalf of the European Space Agency, and are the end result of the Level 1 to 2 reprocessing campaign of GOME Level 1 version 4 data with Level 2 GOME Data Processor (GDP) version 5.0 (HDF-5 format). The GOME Level 2 data product comprises the product header, total column densities of ozone and nitrogen dioxide and their associated errors, cloud properties and selected geo-location information, diagnostics from the Level 1 to 2 algorithms and a small amount of statistical information. proprietary
+ERS.ORB.POD_4.0 ERS PRARE Precise Orbit Products [ERS.ORB.POD/ERS.ORB.PRC] ESA STAC Catalog 1991-08-03 2011-07-18 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1965336890-ESA.umm_json The precise orbit results from a data reduction process in which all available tracking data (Single-Lens Reflex, radar altimeter crossovers, PRARE range and Doppler data) and most accurate correction, transformation and dynamical models are taken into account and in which high level numerical procedures are applied. These orbits are "optimal" achievable representations of the real orbital motion under the circumstances of tracking situation and the "state of the art" model situation. The precise orbit product for the ERS satellites are the satellite ephemeris (position and velocity vector) including time tag, given in a well-defined reference frame, together with the nominal satellite attitude information and a radial orbit correction. Several orbit solutions are currently distributed: A new set of ORB POD (Precise Orbit Determination - REAPER v2) computed with the most updated model standards for the complete ERS-1 and ERS-2 mission. A previous set of ORB POD (REAPER v1) data already available on the ESA dissemination site since 2014, covering the ERS-1 full mission and the ERS-2 mission up to July 2003. ORB PRC which is the original Precise Orbit dataset computed during the ERS mission operations for ERS-1 and ERS-2. In the new POD dataset (REAPER v2) for the ERS-1 and ERS-2 missions, two different orbit solutions are provided together with the combined solution to be used for processing of the radar altimeter measurements and the determination of geodetic/geophysical products: those computed by DEOS (Delft Institute of Earth Observation and Space Systems), and those generated by ESOC (European Space Operations Centre) using different software (GEODYN and NAPEOS respectively). Careful evaluation of the various solutions of REAPER v2 has shown that the DEOS solution for both ERS-1 and ERS-2 has the best performance and is recommended to be used as reference. See the ERS Orbit Validation Report (https://earth.esa.int/eogateway/documents/20142/37627/ERS-Orbit-Validation-Report.pdf). For the previous version of the POD data set (REAPER v1), with ERS-2 mission data only up to 2003, three different orbit solutions together with the combined solution are available. These precise orbits for ERS-1 and ERS-2 have been computed at DEOS, ESOC, and GFZ (Deutschen GeoForschungsZentrums) using different software and different altimeter databases. Combined solutions have been created using three individual solutions for each satellite. All orbits were derived using consistent models in the same LPOD2005 terrestrial reference frame. These new orbit solutions show notable improvement with respect to DGME04 orbits (Scharroo and Visser, 1998). Thus, RMS crossover differences of new orbits improved by 4-9 mm. Careful evaluation of the various solutions has shown that the combined solution for both ERS-1 and ERS-2 has the best performance. All POD orbit files (REAPER v1/v2) are available in SP3c format (ftp://igscb.jpl.nasa.gov/igscb/data/format/sp3c.txt). proprietary
+ERS.SSM_7.0 ERS-2 SCATTEROMETER Surface Soil Moisture Time Series and Orbit product in High and Nominal Resolution [SSM.H/N.TS - SSM.H/N] ESA STAC Catalog 1996-03-26 2011-07-04 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1965336893-ESA.umm_json Surface soil moisture records are derived from the backscatter coefficient measured by the Scatterometer on-board the European Remote Sensing satellite (ERS-2) using the Technische Universität (TU) Wien soil moisture retrieval algorithm called WARP (WAter Retrieval Package). In the WARP algorithm, the relative surface soil moisture estimates, given in degree of saturation Sd, range between 0% and 100% are derived by scaling the normalized backscatter between the lowest/highest backscatter values corresponding to the driest/wettest soil conditions. Surface Soil Moisture - Time Series product: The products generated are the surface soil moisture time series, where for each grid point defined in a DGG (Discrete Global Grid) is stored the time series of soil moisture and its noise, the surface state flag, the geolocation and the satellite parameters. The spatial resolution of the products is about 25 km x 25 km (high resolution) or 50 km x 50 km (nominal resolution) geo-referenced on the WARP grid. The location of the points can be viewed interactively with the tool _$$DGG Point Locator$$ https://dgg.geo.tuwien.ac.at/ . Surface Soil Moisture - Orbit product: In addition to WARP, a second software package, referred to as WARP orbit, was developed in response to the strong demand of soil moisture estimates in satellite orbit geometry. The Level 2 soil moisture orbit product contains a series of Level 1 data information, such as the backscatter, the incidence angle and the azimuth angle for each triplet together with the surface soil moisture and its noise, normalized backscatter at 40° incidence angle, parameters useful for soil moisture, the geolocation and the satellite parameters. The soil moisture orbit product is available in two spatial resolutions with different spatial sampling distances: Spatial sampling on a regular 12.5 km grid in orbit geometry with a spatial resolution of about 25 km x 25 km (High resolution) Spatial sampling on a regular 25 km grid in orbit geometry with a spatial resolution of about 50 km x 50 km (Nominal resolution) The spatial resolution is defined by the Hamming window function, which is used for re-sample of raw backscatter measurements to the orbit grid in the Level-1 ground processor. Please consult the Product Quality _$$Readme$$ https://earth.esa.int/eogateway/documents/20142/37627/ERS_WS_Soil_Moisture_Readme-ESA-EOPG-EBA-TN-2_issue1.0.pdf file before using the ERS-2 Surface Soil Moisture data. proprietary
+ERS.UWI_6.0 ERS-1/2 SCATTEROMETER Nominal Resolution back-scattering measurements, Ocean Wind field [UWI] ESA STAC Catalog 1991-08-01 2011-07-04 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1965336898-ESA.umm_json The ERS data reprocessed with the ASPS facility is also available in the UWI format to maintain the compatibility with the FD (Fast Delivery) products. The ASPS UWI product is organised in frames of 500 x 500 km providing the radar backscattering sigma nought for the three beams of the instrument plus the wind speed and direction. The wind retrieval is performed with the CMOD5N geophysical model function derived by ECMWF to compute the neutral winds rather than 10m winds. ASPS UWI products are provided with a spatial resolution of 50x50km and a grid spacing of 25 km. One product covers one orbit from ascending node crossing. Please consult the Product Quality Readme file (https://earth.esa.int/eogateway/documents/20142/37627/ERS-WS-Product-Quality-Readmefile-ENVI-GSOP-EOGD-QD-15-0130-issue1.2.pdf) before using the ERS ASPS data. proprietary
ERS2_GOME_SIF_1758_1 L2 Daily Solar-Induced Fluorescence (SIF) from ERS-2 GOME, 1995-2003 ORNL_CLOUD STAC Catalog 1995-07-01 2003-06-22 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2207946101-ORNL_CLOUD.umm_json This dataset provides Level 2 Solar-Induced Fluorescence (SIF) of Chlorophyll estimates derived from the Global Ozone Monitoring Experiment (GOME) instrument on the European Space Agency's (ESA's) European Remote-Sensing 2 (ERS-2) satellite. Each file contains daily raw and bias-adjusted solar-induced fluorescence on an orbital basis (land pixels only), at a resolution of 40 km x 320 km, along with quality control information and ancillary data. Data is provided for the period from 19950701 to 20030622. The GOME SIF product is inherently noisy due to low signal levels and has undergone only a limited amount of validation. proprietary
-ERS_ALT_2M_NA ERS-1/2 Radar Altimeter REAPER METEO Product - [ERS_ALT_2M] ESA STAC Catalog 1991-08-03 2003-07-02 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1965336899-ESA.umm_json This is a RA Meteo product containing only the 1 Hz parameters for altimeter (surface range, satellite altitude, wind speed and significant wave height at nadir) and MWR/MWS data (brightness temperature at 23.8 GHz and 36.5 GHz, water vapour content, liquid water content) used to correct altimeter measurements. It also contains the full geophysical corrections. This product corresponds to a subset of the REAPER GDR product (ERS_ALT_2_). The REAPER (REprocessing of Altimeter Products for ERS) product is generated by applying a similar processing as for Envisat RA-2 on the Level 1b consolidated waveforms using 4 different re-trackers, RA calibration improvement, new precise orbit solution (POD), new ionospheric corrections (NICO09 until 1998 and GIM up to 2003), ECMWF ERA-interim model and updated SSB tables. This product contains only the low rate of 1Hz data. The REAPER Meteo (ERS_ALT_2M) is a global product including data over ocean, ice and land. It should be noted that this product differs from the Envisat RA2 in the following ways: the product format; which is NetCDF (more details can be found in the Product Handbook https://earth.esa.int/eogateway/documents/20142/37627/reaper-product-handbook-for-ers-altimetry-reprocessed-products.pdf), and not PDS the product is delivered based on orbit acquisition and not per pass (pole-to-pole) This product is extended through Envisat RA-2 data proprietary
-ERS_ALT_2S_NA ERS-1/2 Radar Altimeter REAPER Sensor Geophysical Data Record - SGDR [ERS_ALT_2S] ESA STAC Catalog 1991-08-03 2003-07-02 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1965336901-ESA.umm_json This is a RA Sensor Geophysical Data Record (SDGR) product containing all of the parameters found in the REAPER GDR product (ERS_ALT_2_) with the addition of the echo waveform and selected parameters from the Level 1b data. The REAPER (REprocessing of Altimeter Products for ERS) product is generated by applying a similar processing as for Envisat RA-2 on the Level 1b consolidated waveforms using 4 different re-trackers, RA calibration improvement, new precise orbit solution (POD), new ionospheric corrections (NICO09 until 1998 and GIM up to 2003), ECMWF ERA-interim model and updated SSB tables. This product contains two data rates: a low rate of 1Hz and a high rate of 20Hz. Most 1Hz data is also represented at 20Hz, while microwave radiometer (MWR/MWS) data and the atmospheric and geophysical corrections are only given at 1 Hz. The REAPER SGDR (ERS_ALT_2S) is a global product including data over ocean, ice and land. It should be noted that this product differs from the Envisat RA2 in the following ways: the product format; which is NetCDF (more details can be found in the Product Handbook https://earth.esa.int/eogateway/documents/20142/37627/reaper-product-handbook-for-ers-altimetry-reprocessed-products.pdf), and not PDS the product is delivered based on orbit acquisition and not per pass (pole-to-pole) This product is extended through Envisat RA-2 data proprietary
-ERS_ALT_2__NA ERS-1/2 Radar Altimeter REAPER Geophysical Data Record - GDR [ERS_ALT_2] ESA STAC Catalog 1991-08-03 2003-07-02 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1965336902-ESA.umm_json This is a RA Geophysical Data Record (GDR) product containing radar range, orbital altitude, wind speed, wave height and water vapour from the MWR/MWS as well as geophysical corrections. The REAPER (REprocessing of Altimeter Products for ERS) product is generated by applying a similar processing as for Envisat RA-2 on the Level 1b consolidated waveforms using 4 different re-trackers, RA calibration improvement, new precise orbit solution (POD), new ionospheric corrections (NICO09 until 1998 and GIM up to 2003), ECMWF ERA-interim model and updated SSB tables. This product contains two data rates: a low rate of 1Hz and a high rate of 20Hz. Most 1Hz data is also represented at 20Hz, while microwave radiometer (MWR/MWS) data and the atmospheric and geophysical corrections are only given at 1 Hz. The REAPER GDR (ERS_ALT_2_) is a global product including data over ocean, ice and land. It should be noted that this product differs from the Envisat RA2 in the following ways: - the product format; which is NetCDF (more details can be found in the Product Handbook https://earth.esa.int/eogateway/documents/20142/37627/reaper-product-handbook-for-ers-altimetry-reprocessed-products.pdf), and not PDS - the product is delivered based on orbit acquisition and not per pass (pole-to-pole) This product is extended through Envisat RA-2 data proprietary
+ERSATSRL1BBrightnessTemperatureRadianceER1AT1RBTER2AT1RBT40_5.0 ERS ATSR L1B Brightness Temperature/Radiance [ER1_AT_1_RBT / ER2_AT_1_RBT] ESA STAC Catalog 1991-08-01 2003-06-22 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3325394257-ESA.umm_json The ERS-1/2 ATSR Level 1B Brightness Temperature/Radiance products (RBT) contain top of atmosphere (TOA) brightness temperature (BT) values for the infra-red channels and radiance values for the visible channels, when available, on a 1-km pixel grid. The visible channels are only available for the ATSR-2 instrument. Values for each channel and for the nadir and oblique views occupy separate NetCDF files within the Sentinel-SAFE format, along with associated uncertainty estimates. Additional files contain cloud flags, land and water masks, and confidence flags for each image pixel, as well as instrument and ancillary meteorological information. The ATSR-1 and ATSR-2 products [ER1_AT_1_RBT and ER2_AT_1_RBT], in NetCDF format stemming from the 4th ATSR reprocessing, are precursors of Envisat AATSR and Sentinel-3 SLSTR data. They have replaced the former L1B products [AT1_TOA_1P and AT2_TOA_1P] in Envisat format from the 3rd reprocessing. Users with Envisat-format products are recommended to move to the new Sentinel-SAFE like/NetCDF format products, and consult the ERS _$$ATSR Product Notice Readme document$$ https://earth.esa.int/eogateway/documents/20142/37627/ATSR-Level-1B-ERn-AT-1-RBT-Product-Notices-Readme.pdf The processing updates that have been put in place and the expected scientific improvements for the ERS ATSR 4th reprocessing data have been outlined in full in the _$$User Documentation for (A)ATSR 4th Reprocessing Products$$ https://earth.esa.int/documents/20142/37627/QA4EO-VEG-OQC-MEM-4538_User_Documentation_for__A_ATSR_4th_Reprocessing_Level_1.pdf . proprietary
+ERS_ALT_2M_6.0 ERS-1/2 Radar Altimeter REAPER METEO Product - [ERS_ALT_2M] ESA STAC Catalog 1991-08-03 2003-07-02 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1965336899-ESA.umm_json "This is a RA Meteo product containing only the 1 Hz parameters for altimeter (surface range, satellite altitude, wind speed and significant wave height at nadir) and MWR/MWS data (brightness temperature at 23.8 GHz and 36.5 GHz, water vapour content, liquid water content) used to correct altimeter measurements. It also contains the full geophysical corrections. This product corresponds to a subset of the REAPER GDR product (ERS_ALT_2_). The REAPER (REprocessing of Altimeter Products for ERS) product is generated by applying a similar processing as for Envisat RA-2 on the Level 1b consolidated waveforms using 4 different re-trackers, RA calibration improvement, new precise orbit solution (POD), new ionospheric corrections (NICO09 until 1998 and GIM up to 2003), ECMWF ERA-interim model and updated SSB tables. This product contains only the low rate of 1Hz data. The REAPER Meteo (ERS_ALT_2M) is a global product including data over ocean, ice and land. It should be noted that this product differs from the Envisat RA2 in the following ways: the product format; which is NetCDF (more details can be found in the Product Handbook https://earth.esa.int/eogateway/documents/20142/37627/reaper-product-handbook-for-ers-altimetry-reprocessed-products.pdf), and not PDS the product is delivered based on orbit acquisition and not per pass (pole-to-pole) This product is extended through Envisat RA-2 data The creation of the Fundamental Data Records (FDR4ALT) datasets _$$released in March 2024$$ https://earth.esa.int/eogateway/news/fdr4alt-esa-unveils-new-cutting-edge-ers-envisat-altimeter-and-microwave-radiometer-dataset , represent the new reference data for the ERS/Envisat altimetry missions, superseding any previous mission data. Users are therefore strongly encouraged to make use of these new datasets for optimal results. The records are aimed at different user communities and include the following datasets: 1. _$$Fundamental Data Records for Altimetry$$ https://earth.esa.int/eogateway/catalog/fdr-for-altimetry 2. _$$Fundamental Data Records for Radiometry$$ https://earth.esa.int/eogateway/catalog/fdr-for-radiometry 3. _$$Atmospheric Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-atmosphere 4. _$$Inland Waters Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-inland-water 5. _$$Land Ice Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-land-ice 6. _$$Ocean & Coastal Topography Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-ocean-and-coastal-topography 7. _$$Ocean Waves Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-ocean-waves 8. _$$Sea Ice Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-sea-ice " proprietary
+ERS_ALT_2S_6.0 ERS-1/2 Radar Altimeter REAPER Sensor Geophysical Data Record - SGDR [ERS_ALT_2S] ESA STAC Catalog 1991-08-03 2003-07-02 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1965336901-ESA.umm_json "This is a RA Geophysical Data Record (GDR) product containing radar range, orbital altitude, wind speed, wave height and water vapour from the ATSR/MWR as well as geophysical corrections. The REAPER (REprocessing of Altimeter Products for ERS) product is generated by applying a similar processing as for Envisat RA-2 on the Level 1b consolidated waveforms using 4 different re-trackers, RA calibration improvement, new precise orbit solution (POD), new ionospheric corrections (NICO09 until 1998 and GIM up to 2003), ECMWF ERA-interim model and updated SSB tables. This product contains two data rates: a low rate of 1Hz and a high rate of 20Hz. Most 1Hz data is also represented at 20Hz, while microwave radiometer (ATSR/MWR) data and the atmospheric and geophysical corrections are only given at 1 Hz. The REAPER GDR (ERS_ALT_2_) is a global product including data over ocean, ice and land. It should be noted that this product differs from the Envisat RA2 in the following ways: The product format; which is NetCDF (more details can be found in the Product Handbook, and not PDS The product is delivered based on orbit acquisition and not per pass (pole-to-pole). This product is extended through Envisat RA-2 data. The creation of the Fundamental Data Records (FDR4ALT) datasets _$$released in March 2024$$ https://earth.esa.int/eogateway/news/fdr4alt-esa-unveils-new-cutting-edge-ers-envisat-altimeter-and-microwave-radiometer-dataset , represent the new reference data for the ERS/Envisat altimetry missions, superseding any previous mission data. Users are therefore strongly encouraged to make use of these new datasets for optimal results. The records are aimed at different user communities and include the following datasets: 1. _$$Fundamental Data Records for Altimetry$$ https://earth.esa.int/eogateway/catalog/fdr-for-altimetry 2. _$$Fundamental Data Records for Radiometry$$ https://earth.esa.int/eogateway/catalog/fdr-for-radiometry 3. _$$Atmospheric Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-atmosphere 4. _$$Inland Waters Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-inland-water 5. _$$Land Ice Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-land-ice 6. _$$Ocean & Coastal Topography Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-ocean-and-coastal-topography 7. _$$Ocean Waves Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-ocean-waves 8. _$$Sea Ice Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-sea-ice " proprietary
+ERS_ALT_2__6.0 ERS-1/2 Radar Altimeter REAPER Geophysical Data Record - GDR [ERS_ALT_2] ESA STAC Catalog 1991-08-03 2003-07-02 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1965336902-ESA.umm_json "This is a RA Geophysical Data Record (GDR) product containing radar range, orbital altitude, wind speed, wave height and water vapour from the ATSR/MWR as well as geophysical corrections. The REAPER (REprocessing of Altimeter Products for ERS) product is generated by applying a similar processing as for Envisat RA-2 on the Level 1b consolidated waveforms using 4 different re-trackers, RA calibration improvement, new precise orbit solution (POD), new ionospheric corrections (NICO09 until 1998 and GIM up to 2003), ECMWF ERA-interim model and updated SSB tables. This product contains two data rates: a low rate of 1Hz and a high rate of 20Hz. Most 1Hz data is also represented at 20Hz, while microwave radiometer (ATSR/MWR) data and the atmospheric and geophysical corrections are only given at 1 Hz. The REAPER GDR (ERS_ALT_2_) is a global product including data over ocean, ice and land. It should be noted that this product differs from the Envisat RA2 in the following ways: The product format; which is NetCDF (more details can be found in the Product Handbook, and not PDS The product is delivered based on orbit acquisition and not per pass (pole-to-pole). This product is extended through Envisat RA-2 data. The creation of the Fundamental Data Records (FDR4ALT) datasets _$$released in March 2024$$ https://earth.esa.int/eogateway/news/fdr4alt-esa-unveils-new-cutting-edge-ers-envisat-altimeter-and-microwave-radiometer-dataset , represent the new reference data for the ERS/Envisat altimetry missions, superseding any previous mission data. Users are therefore strongly encouraged to make use of these new datasets for optimal results. The records are aimed at different user communities and include the following datasets: 1. _$$Fundamental Data Records for Altimetry$$ https://earth.esa.int/eogateway/catalog/fdr-for-altimetry 2. _$$Fundamental Data Records for Radiometry$$ https://earth.esa.int/eogateway/catalog/fdr-for-radiometry 3. _$$Atmospheric Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-atmosphere 4. _$$Inland Waters Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-inland-water 5. _$$Land Ice Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-land-ice 6. _$$Ocean & Coastal Topography Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-ocean-and-coastal-topography 7. _$$Ocean Waves Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-ocean-waves 8. _$$Sea Ice Thematic Data Product$$ https://earth.esa.int/eogateway/catalog/tdp-for-sea-ice " proprietary
ERS_CONT_500_ANT_1 500 metre interval contours of Antarctica derived from ERS radar altimetry data. AU_AADC STAC Catalog 2003-01-01 2003-01-31 -180, -82, 180, -65 https://cmr.earthdata.nasa.gov/search/concepts/C1214308545-AU_AADC.umm_json 500 metre interval contours of the Antarctic continent derived from slope corrected orthometric heights that were captured using European Remote Sensing (ERS) radar altimetry. ESA's two European Remote Sensing (ERS) satellites, ERS-1 and 2, were launched into the same orbit in 1991 and 1995 respectively. Their payloads included a synthetic aperture imaging radar, radar altimeter and instruments to measure ocean surface temperature and wind fields. ERS-2 added an additional sensor for atmospheric ozone monitoring. The two satellites acquired a combined data set extending over two decades. The ERS-1 mission ended on 10 March 2000 and ERS-2 was retired on 05 September 2011. proprietary
ERS_CONT_MERGED_AMERY_1 Contours for the Amery Region map dated November 2002. AU_AADC STAC Catalog 2002-11-01 2002-11-30 56, -77.1, 80, -67.4 https://cmr.earthdata.nasa.gov/search/concepts/C1214308546-AU_AADC.umm_json Contours for the Amery Region map published by the Australian Antarctic Data Centre in November 2002 (see link below). This contour data were derived from Russian space photography, ERS-1 and ERS-2 Radar altimeter data (BKG, Germany) and the Antarctic Digital Database, Version 2. Refer to the contour source diagram - digital data (refer to metadata record ERS_CONT_SOURCE_AMERY) or view map (see link below). The contour interval is 500 metres from 500 to 3000 metres. There are also 200 metre contours. ESA's two European Remote Sensing (ERS) satellites, ERS-1 and 2, were launched into the same orbit in 1991 and 1995 respectively. Their payloads included a synthetic aperture imaging radar, radar altimeter and instruments to measure ocean surface temperature and wind fields. ERS-2 added an additional sensor for atmospheric ozone monitoring. The two satellites acquired a combined data set extending over two decades. The ERS-1 mission ended on 10 March 2000 and ERS-2 was retired on 05 September 2011. proprietary
ERS_CONT_SOURCE_AMERY_1 Contour source data for the Amery Region map dated November 2002. AU_AADC STAC Catalog 2002-11-01 2002-11-30 56, -77.1, 80, -67.4 https://cmr.earthdata.nasa.gov/search/concepts/C1214308547-AU_AADC.umm_json This polygon shapefile was used in the contour source diagram on the Amery Region Map published by the Australian Antarctic Data Centre in November 2002 (see link). The contours used in the map were derived from a number of different data sources: 1 - Russian Space Photography, ERS-1 Radar Altimeter data and digitised from 1:1 million scale maps produced by National Mapping Australia; 2 - Antarctic Digital Database Version 2; 3 - ERS-1 and ERS-2 Radar Altimeter data (BKG, Germany). This shapefile shows in which part of the map each source was used. proprietary
ERS_DTM_1 Data generated from slope corrected orthometric heights of Antarctica derived from ERS Radar Altimetry AU_AADC STAC Catalog 2003-01-01 2003-01-31 -180, -82, 180, -65 https://cmr.earthdata.nasa.gov/search/concepts/C1214313453-AU_AADC.umm_json Data generated from slope corrected orthometric heights derived from ERS radar altimetry as described in the paper 'A Digital Terrain Ice Model of Antarctica derived by ERS Radar Altimeter Data' by J. Ihde, J. Eck, U. Schirmer. The data products (and their metadata records): the original point data as a shapefile (GRI_ORT_SLC_FIN); a shapefile showing data and no data areas for the original point data (ERS_REL_ANT); a triangulated irregular network (TIN) generated from the point data (ERS_DTM_TIN_ANT); 500 m interval contours interpolated from the TIN (ERS_CONT_500_ANT); a raster grid with 5 km cell size interpolated from the TIN (ERS_DTM_GRID_ANT); a contour shapefile for the Amery Region map published by the Australian Antarctic Data Centre in November 2002 - contours sourced from ERS radar altimetry, the Antarctic Digital Database Version 2 and Russian space photography (ERS_CONT_MERGED_AMERY); a shapefile used for the contour source diagram for the Amery Region map (ERS_CONT_SOURCE_AMERY). ESA's two European Remote Sensing (ERS) satellites, ERS-1 and 2, were launched into the same orbit in 1991 and 1995 respectively. Their payloads included a synthetic aperture imaging radar, radar altimeter and instruments to measure ocean surface temperature and wind fields. ERS-2 added an additional sensor for atmospheric ozone monitoring. The two satellites acquired a combined data set extending over two decades. The ERS-1 mission ended on 10 March 2000 and ERS-2 was retired on 05 September 2011. proprietary
ERS_DTM_GRID_ANT_1 Digital terrain model of Antarctica in ESRI Grid format, derived from ERS Radar Altimeter data. AU_AADC STAC Catalog 2003-01-01 2003-01-31 -180, -82, 180, -65 https://cmr.earthdata.nasa.gov/search/concepts/C1214308548-AU_AADC.umm_json ESRI formatted raster grid of the Antarctic continental terrain, derived from ERS radar altimeter data. The data is in a Polar Stereographic projection with true scale at 71 degrees South. The grid has 'no data' cells in latitudes south of 82 degrees South and steep areas of the continent, particularly along the coast. ESA's two European Remote Sensing (ERS) satellites, ERS-1 and 2, were launched into the same orbit in 1991 and 1995 respectively. Their payloads included a synthetic aperture imaging radar, radar altimeter and instruments to measure ocean surface temperature and wind fields. ERS-2 added an additional sensor for atmospheric ozone monitoring. The two satellites acquired a combined data set extending over two decades. The ERS-1 mission ended on 10 March 2000 and ERS-2 was retired on 05 September 2011. proprietary
ERS_DTM_TIN_ANT_1 A digital terrain model of Antarctica in Triangulated Irregular Network (TIN) format, derived from ERS Radar Altimetry. AU_AADC STAC Catalog 2003-01-01 2003-01-31 -180, -82, 180, -65 https://cmr.earthdata.nasa.gov/search/concepts/C1214308549-AU_AADC.umm_json An ESRI formatted triangular irregular network (TIN) of the Antarctic continental terrain, derived from ERS radar altimeter data. The data is in a Polar Stereographic projection with true scale at 71 degrees South. The TIN is unreliable in latitudes south of 82 degrees South and steep areas of the continent, particularly along the coast. ESA's two European Remote Sensing (ERS) satellites, ERS-1 and 2, were launched into the same orbit in 1991 and 1995 respectively. Their payloads included a synthetic aperture imaging radar, radar altimeter and instruments to measure ocean surface temperature and wind fields. ERS-2 added an additional sensor for atmospheric ozone monitoring. The two satellites acquired a combined data set extending over two decades. The ERS-1 mission ended on 10 March 2000 and ERS-2 was retired on 05 September 2011. proprietary
+ESA_Orthorectified_Map_oriented_Level1_products_6.0 MOS-1/1B ESA Orthorectified Map-oriented Products [MES_GEC_1P] ESA STAC Catalog 1987-09-08 1993-08-20 -120, 19, 95, 87 https://cmr.earthdata.nasa.gov/search/concepts/C3325394868-ESA.umm_json "The ESA Orthorectified Map-oriented (Level 1) Products collection is composed of MOS-1/1B MESSR (Multi-spectral Electronic Self-Scanning Radiometer) data products generated as part of the MOS Bulk Processing Campaign using the MOS Processor v3.02. The products are available in GeoTIFF format and disseminated within EO-SIP packaging. Please refer to the _$$MOS Product Format Specification$$ https://earth.esa.int/eogateway/documents/d/earth-online/mos-product-format-specification for further details. The collection consists of data products of the following type: MES_GEC_1P: Geocoded Ellipsoid GCP Corrected Level 1 MOS-1/1B MESSR products which are the default products generated by the MOS MESSR processor in all cases (where possible), with usage of the latest set of LANDSAT improved GCP (Ground Control Points). These are orthorectified map-oriented products, corresponding to the old MOS-1/1B MES_ORT_1P products with geolocation improvements. MESSR Instrument Characteristics Band Wavelength Range (nm) Spatial Resolution (m) Swath Width (km) 1 (VIS) 510 – 690 50 100 2 (VIS) 610 – 690 50 100 3 (NIR) 720 – 800 50 100 4 (NIR) 800 – 1100 50 100" proprietary
+ESA_System_corrected_Level_1_MOS_1_1B_VTIR_product_6.0 MOS-1/1B ESA System Corrected VTIR Products [VTI_SYC_1P] ESA STAC Catalog 1987-09-08 1993-09-30 -120, 19, 95, 87 https://cmr.earthdata.nasa.gov/search/concepts/C3325393706-ESA.umm_json "The ESA System Corrected (Level 1) MOS-1/1B VTIR Products collection is composed of MOS-1/1B VTIR (Visible and Thermal Infrared Radiometer) data products generated as part of the MOS Bulk Processing Campaign using the MOS Processor v3.02. The products are available in GeoTIFF format and disseminated within EO-SIP packaging. Please refer to the MOS Product Format Specification for further details. The collection consists of data products of the following type: VTI_SYC_1P: System corrected Level 1 MOS-1/1B VTIR products in EO-SIP format. Band Wavelength Range (µm) Spatial Resolution (km) Swath Width (km) 1 (VIS) 0.5 – 0.7 0.9 1500 2 (TIR) 6.0 – 7.0 2.7 1500 3 (TIR) 10.5 – 11.5 2.7 1500 4 (TIR) 11.5 – 12.5 2.7 1500" proprietary
+ESA_System_corrected_map_oriented_Level_1_products_6.0 MOS-1/1B ESA System Corrected Map-oriented Products [MES_GES_1P] ESA STAC Catalog 1987-09-08 1993-08-20 -120, 19, 95, 87 https://cmr.earthdata.nasa.gov/search/concepts/C3325394286-ESA.umm_json "The ESA System Corrected Map-oriented (Level 1) Products collection is composed of MOS-1/1B MESSR (Multi-spectral Electronic Self-Scanning Radiometer) data products generated as part of the MOS Bulk Processing Campaign using the MOS Processor v3.02. The products are available in GeoTIFF format and disseminated within EO-SIP packaging. Please refer to the _$$MOS Product Format Specification$$ https://earth.esa.int/eogateway/documents/d/earth-online/mos-product-format-specification for further details. The collection consists of data products of the following type: MES_GES_1P: Geocoded Ellipsoid System Corrected Level 1 MOS-1/1B MESSR products as generated by the MOS MESSR processor where the generation of MES_GEC_1P products is not possible. These replace the old MES_SYC_1P products. MESSR Instrument Characteristics Band Wavelength Range (nm) Spatial Resolution (m) Swath Width (km) 1 (VIS) 510 – 690 50 100 2 (VIS) 610 – 690 50 100 3 (NIR) 720 – 800 50 100 4 (NIR) 800 – 1100 50 100" proprietary
ESCAPE_0 Measurements taken off The Netherlands in the North Sea in 1998 OB_DAAC STAC Catalog 1998-04-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360230-OB_DAAC.umm_json Measurements taken off The Netherlands in the North Sea in 1998. proprietary
ESMRN5IM_001 ESMR/Nimbus-5 Images of Brightness Temperature on 70 mm Film V001 (ESMRN5IM) at GES DISC GES_DISC STAC Catalog 1972-12-11 1973-05-09 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1273652164-GES_DISC.umm_json "ESMRN5IM is the Nimbus-5 Electrically Scanning Microwave Radiometer (ESMR) data product containing daily brightness temperature images from 70-mm photofacsimile film strips. Each frame contains a geographic grid and two groups of three parallel strips of imagery, each containing one-half the orbital data. The spatial coverage is identical in each group, but each strip has a different dynamic range for its gray scale: 100-200 K, 190-270 K, and 250-300 K, respectively. The spatial resolution is 25 x 25 km near nadir, degrading to 160 km cross-track by 45 km down-track at the ends of the scan. The images are saved as JPEG 2000 digital files. About 2 weeks of images are archived into a TAR file. Additional information can be found in ""The Nimbus 5 User's Guide."" The primary objectives of the ESMR experiment were: (1) to derive the liquid water content of clouds from brightness temperatures over oceans, (2) to observe differences between sea ice and the open sea over the polar caps, and (3) to test the feasibility of inferring surface composition and soil moisture. To accomplish these objectives, the ESMR was capable of continuous global mapping of the 1.55-cm (19.36 GHz) microwave radiation emitted by the earth/atmosphere system, and could function even in the presence of cloud conditions that block conventional satellite infrared sensors. The ESMR instrument made measurements from Dec. 11, 1972 until May 16, 1977. This product was previously available from the NSSDC with the identifier ESAD-00192 (old ID 72-097A-04C)." proprietary
ESMRN5L1_001 ESMR/Nimbus-5 Level 1 Calibrated Brightness Temperature V001 (ESMRN5L1) at GES DISC GES_DISC STAC Catalog 1972-12-11 1977-05-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1274246684-GES_DISC.umm_json ESMRN5L1 is the Nimbus-5 Electrically Scanning Microwave Radiometer (ESMR) Level 1 Calibrated Brightness Temperature product and contains calibrated radiances expressed in units of brightness temperature measured at 19.35 GHz. The data, originally written on IBM 360 machines, were recovered from magnetic tapes, also referred to as the Calibrated Brightness Temperature Tapes (CBTT). The data are archived in their original IBM binary proprietary format, also referred to as a binary TAP file. The Nimbus-5 satellite was successfully launched on December 11, 1972. The ESMR experiment on Nimbus-5 continued the measurements made by its predecessor flown on Nimbus-4. The ESMR instrument objectives were (1) to derive the liquid water content of clouds from brightness temperatures over oceans, (2) to observe differences between sea ice and the open sea over the polar caps, and (3) to test the feasibility of inferring surface composition and soil moisture. The ESMR Principal Investigator was Dr. Thomas T. Wilheit, Jr. from NASA Goddard Space Flight Center. The Nimbus-5 ESMR data are available from December 11, 1972 (day of year 346) through May 16, 1977 (day of year 136) This product was previously available from the NSSDC with the identifier ESAD-00219 (old ID 72-097A-04A). proprietary
@@ -5121,6 +5111,14 @@ EWSG1-NAVO-L2P-v01_1.0 GHRSST Level 2P Sea Surface Temperature version 1.0 from
EXP7L1TRTALL_001 Explorer-7 Thermal Radiation Experiment Temperature Values from All Sensors V001 (EXP7L1TRTALL) at GES DISC GES_DISC STAC Catalog 1959-10-19 1960-06-04 -180, -81.5, 180, 81.5 https://cmr.earthdata.nasa.gov/search/concepts/C2099719148-GES_DISC.umm_json Explorer-7 Thermal Radiation Experiment Temperature Values from All Sensors product contains temperature readings from all five bolometers in order to measure solar, reflected and terrestrial radiation. There are two files for the entire mission (Oct. 19, 1959 to April 16, 1960 and April 16, 1960 to June 4, 1960. Note there is no geolocation information included with these data. The data were originally written on IBM 7094 machines on magnetic tapes. The data have been restored and are archived in their original IBM 36-bit word binary format. The Explorer-7 satellite was successfully launched on October 13, 1959. The radius of the circle of coverage was about 23 deg (~2500 km) at perigee and 31.5 deg (~3500 km) at apogee. Half the radiation is received from an area below the satellite with a radius of 5.3 deg (545 km) at perigee and 9 deg (~1015 km) at apogee. The Thermal Radiation Experiment successfully returned the first set of Earth looking data from space. The instrument was operational from launch until Feb. 28, 1961. The Principal Investigator for these data was Verner E. Suomi from the University of Wisconsin. This product was previously available from the NSSDC with the identifier ESAD-00249 (old ID 59-009A-01B). proprietary
EXP7L1TRTWHT_001 Explorer-7 Thermal Radiation Experiment Selected White Sensor Temperature (Nighttime) Values V001 (EXP7L1TRTWHT) at GES DISC GES_DISC STAC Catalog 1959-11-15 1960-05-24 -180, -81.5, 180, 81.5 https://cmr.earthdata.nasa.gov/search/concepts/C2099719667-GES_DISC.umm_json Explorer-7 Thermal Radiation Experiment Selected White Sensor Temperature (Nighttime) Values product contains the temperatures measured by the white sensor at night. The white sensor was designed to measure terrestrial radiation. There is a single file for the entire mission (Nov. 15, 1959 to May 24, 1960). The data were originally written on IBM 7094 machines to magnetic tapes. In addition to the temperature values, the file contains radiance, geolocation and orbit information. The data have been restored and are archived in their original IBM EBCDIC text format. The Explorer-7 satellite was successfully launched on October 13, 1959. The radius of the circle of coverage was about 23 deg (~2500 km) at perigee and 31.5 deg (~3500 km) at apogee. Half the radiation is received from an area below the satellite with a radius of 5.3 deg (545 km) at perigee and 9 deg (~1015 km) at apogee. The Thermal Radiation Experiment successfully returned the first set of Earth looking data from space. The instrument was operational from launch until Feb. 28, 1961. The Principal Investigator for these data was Verner E. Suomi from the University of Wisconsin. This product was previously available from the NSSDC with the identifier ESAD-00248 (old ID 59-009A-01A). proprietary
EXPORTS_0 EXport Processes in the Ocean from Remote Sensing OB_DAAC STAC Catalog 2018-07-27 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360235-OB_DAAC.umm_json EXport Processes in the Ocean from RemoTeSensing (EXPORTS) is a NASA-led and NSF co-funded science project aiming to understand export and fate of upper ocean net primary production (NPP) using satellite remote sensing, state of the art ocean field measurements, and numerical models. EXPORTS lead a pre-EXPORTS modeling and data-mining activity, followed by two major oceanographic expeditions: EXPORTS North Pacific (EXPORTSNP) and EXPORTS North Atlantic (EXPORTSNA); and it is currently on a final project phase of synthesis and modeling. The EXPORTSNP deployment was conducted at Ocean Station Papa (Station P, nominally 50N, 145W) operated by Canada's Line P time-series sampling program. The EXPORTS 2018 field deployment consisted of four major components: 1) the R/V Roger Revelle (cruise id= RR1813) functioned as the Process Ship, sampling BGC stocks and fluxes, ecological abundances and rates, and optical properties following a Lagrangian float; 2) the R/V Sally Ride(cruise id=SR1012) was the Survey Ship and characterized spatial variability about the Process Ship on scales from about 1 to 100 km; 4) a heterogeneous array of AUV platforms was deployed to set the spatial center of the sampling program, to provide horizontal spatial and high-temporal information, and to extend the temporal presence in the area; and 4) a long-term sampling presence was created, tying the ship-based observations to climatically relevant time and space scales using BGC floats and partnerships with ongoing research programs. The EXPORTSNA deployment was conducted at the Porcupine Abyssal Plain (Station PAP, nominally) in collaboration with the PAP Sustained Observatory (PAP-SO) which is a sustained, multidisciplinary observatory in the North Atlantic coordinated by the National Oceanography Centre, Southampton. Similar to the North Pacific filed mission, EXPORTSNA consisted of Process Ship represented by the RRS James Cook (cruise id = JC214), a Survey Ship represented by the RRS Discovery (cruise id = DY131), over 40 autonomous assets, and long-term collaboration and observations using BGC floats and partnerships with ongoing research programs. Among the assets, the user will find data from 3 different glider missions (SG219, SG237, SL305), a lagrangian floats (LF092), Neutrally Buoyant Sediment Traps (NBST) floats, Wirewalker, TZEK, and Minions. EXPORTS partnered with the Ocean Twilight Zone (OTZ) program with a third vessel, the R/V Sarmiento de Gamboa (cruise id= SG2105) that join them at the PAP station. EXPORTS funded data were collected aboard SG2105 as well, however, all the data collected is served under the OTZ_WHOI SeaBASS experiment and cruise SG2105. For additional information about the EXPORTS field experiments please refer to Siegel et al., 2021. EXPORTS data funded under NSF can be found in BCO-DMO: https://www.bco-dmo.org/program/757397 To find information about all the data collected under EXPORTS and their data repositories and availability, please visit: https://sites.google.com/view/oceanexports/home proprietary
+EarthCAREAuxiliary_3.0 EarthCARE Auxiliary Data for Cal/Val Users ESA STAC Catalog 2024-05-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3325394702-ESA.umm_json EarthCARE data products encompass essential supporting auxiliary (AUX) and orbit data critical for accurate sensor data processing and analysis. AUX data includes datasets used outside the primary Space Segment stream to apply corrections to sensor data. This comprises previously derived calibration parameters, ground control data, and digital elevation data. Calibration parameters ensure measurement accuracy, while ground control data aids in data validation, and digital elevation data enables precise geolocation. Orbit data consists of on-board satellite data and orbital information. For EarthCARE, this includes Reconstructed Orbit and Attitude Files, which provide detailed satellite positioning and orientation information. The integration of AUX and orbit data into EarthCARE's data processing workflow ensures the production of high-quality, scientifically valuable datasets for atmospheric research, climate modeling, and environmental monitoring. proprietary
+EarthCAREL0L1Products_4.0 EarthCARE L0 and L1 Products for the Commissioning Team ESA STAC Catalog 2024-05-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3325394261-ESA.umm_json This EarthCARE collection is restricted, and contains the following data products: · Level 0: Annotated Raw Instrument Source Packets These packets contain unprocessed data as generated by EarthCARE's instruments, annotated with basic metadata in front of each packet. · Level 1b: Fully Calibrated and Geolocated Instrument Measurements Level 1b products are fully processed, calibrated, and geolocated measurements from EarthCARE's instruments. Each measurement is aligned with the native instrument grid. For the Broadband Radiometer (BBR), measurements are also spatially integrated to various ground pixel sizes. · Level 1c (MSI only): MSI Level 1b Data Interpolated to a Common Spatial Grid Specifically for the Multi-Spectral Imager (MSI), Level 1c data involves interpolating Level 1b measurements onto a standardized spatial grid that is consistent across all MSI bands. This grid closely matches the spacing used in MSI Level 1b data. · Level 1d: Joint Standard Grid (JSG) for All Instruments and ECMWF Meteorological Fields. Level 1d data provide a spatial grid to enable easy collocation and synergistic use of the data from all EarthCARE instruments, named the "joint standard grid." Additionally, this level incorporates ECMWF (European Centre for Medium-Range Weather Forecasts) meteorological fields limited to the EarthCARE swath, enabling comprehensive analysis and modelling of atmospheric conditions within the satellite's coverage area. proprietary
+EarthCAREL1InstChecked_5.0 EarthCARE L1 Products for Cal/Val Users ESA STAC Catalog 2024-05-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3325394522-ESA.umm_json This EarthCARE collection is restricted, and contains the following data products: · Level 1b: Fully Calibrated and Geolocated Instrument Science Measurements Level 1b data represents the fully processed, calibrated, and geolocated measurements from EarthCARE's instruments. Each measurement is aligned with the native instrument grid. For the Broadband Radiometer (BBR), measurements are also spatially integrated to various groundpixel sizes. · Level 1c (MSI only): MSI Level 1b Data Interpolated to a Common Spatial Grid Specifically for the Multi-Spectral Imager (MSI), Level 1c data involves interpolating Level 1b measurements onto a standardized spatial grid that is consistent across all MSI bands. This grid closely matches the spacing used in MSI Level 1b data. · Level 1d: Joint Standard Grid (JSG) for All Instruments with ECMWF Meteorological Fields. Level 1d data provides a spatial grid to enable easy collocation and synergistic use of the data from all EarthCARE instruments, named the "joint standard grid." Additionally, this level incorporates ECMWF (European Centre for Medium-Range Weather Forecasts) meteorological fields limited to the EarthCARE swath, enabling comprehensive analysis and modeling of atmospheric conditions within the satellite's coverage area. proprietary
+EarthCAREL1Validated_3.0 EarthCARE L1 Products ESA STAC Catalog 2024-05-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3325393791-ESA.umm_json This EarthCARE collection contains the following data products: Level 1b: Fully Calibrated and Geolocated Instrument Science Measurements Level 1b data represents the fully processed, calibrated, and geolocated measurements from EarthCARE's instruments. Each measurement is aligned with the native instrument grid. For the Broadband Radiometer (BBR), measurements are also spatially integrated to various groundpixel sizes. Level 1c (MSI only): MSI Level 1b Data Interpolated to a Common Spatial Grid Specifically for the Multi-Spectral Imager (MSI), Level 1c data involves interpolating Level 1b measurements onto a standardized spatial grid that is consistent across all MSI bands. This grid closely matches the spacing used in MSI Level 1b data. Level 1d: Joint Standard Grid (JSG) for All Instruments with ECMWF Meteorological Fields. Level 1d data provides a spatial grid to enable easy collocation and synergistic use of the data from all EarthCARE instruments, named the "joint standard grid." Additionally, this level incorporates ECMWF (European Centre for Medium-Range Weather Forecasts) meteorological fields limited to the EarthCARE swath, enabling comprehensive analysis and modelling of atmospheric conditions within the satellite's coverage area. CPR level 1b: C-NOM products is generated and provided by JAXA. This product is used as input, in combination with the X-MET aux file, for different processors in the EarthCARE production chain. AUX_MET_1D: meteorological analysis and forecast fields X-MET provided by ECMWF. This product is used as input, in combination with the C-NOM product, for different processors in the EarthCARE production chain. proprietary
+EarthCAREL2InstChecked_4.0 EarthCARE ESA L2 Products for Cal/Val Users ESA STAC Catalog 2024-05-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3325393801-ESA.umm_json This EarthCARE collection is restricted, and contains the following data products: · Level 2a: Single-Instrument Geophysical Products These products are derived from individual instrument data onboard EarthCARE. They provide detailed geophysical parameters and properties specific to each instrument's capabilities for example cloud and aerosol properties derived solely from radar or lidar measurements, offering high-resolution insights into atmospheric phenomena. · Level 2b: Synergistic Geophysical Products Level 2b products leverage data from multiple EarthCARE instruments to generate comprehensive, synergistic geophysical datasets. By combining measurements from instruments like radar, lidar, and radiometers, these products offer a more integrated view of cloud-aerosol interactions and atmospheric dynamics. Synergistic products provide enhanced accuracy and depth compared to single-instrument outputs, enabling detailed studies of complex atmospheric processes. proprietary
+EarthCAREL2Products_4.0 EarthCARE ESA L2 Products for the Commissioning Team ESA STAC Catalog 2024-05-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3325393726-ESA.umm_json This EarthCARE collection contains the following data products: Level 2a: Single-Instrument Geophysical Products These products are derived from individual instrument data onboard EarthCARE. They provide detailed geophysical parameters and properties specific to each instrument's capabilities for example cloud and aerosol properties derived solely from radar or lidar measurements, offering high-resolution insights into atmospheric phenomena. Level 2b: Synergistic Geophysical Products Level 2b products leverage data from multiple EarthCARE instruments to generate comprehensive, synergistic geophysical datasets. By combining measurements from instruments like radar, lidar, and radiometers, these products offer a more integrated view of cloud-aerosol interactions and atmospheric dynamics. Synergistic products provide enhanced accuracy and depth compared to single-instrument outputs, enabling detailed studies of complex atmospheric processes. proprietary
+EarthCAREL2Validated_3.0 EarthCARE ESA L2 Products ESA STAC Catalog 2024-05-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3325394337-ESA.umm_json This EarthCARE collection contains the following data products: Level 2a: Single-Instrument Geophysical Products These products are derived from individual instrument data onboard EarthCARE. They provide detailed geophysical parameters and properties specific to each instrument's capabilities for example cloud and aerosol properties derived solely from radar or lidar measurements, offering high-resolution insights into atmospheric phenomena. Level 2b: Synergistic Geophysical Products Level 2b products leverage data from multiple EarthCARE instruments to generate comprehensive, synergistic geophysical datasets. By combining measurements from instruments like radar, lidar, and radiometers, these products offer a more integrated view of cloud-aerosol interactions and atmospheric dynamics. Synergistic products provide enhanced accuracy and depth compared to single-instrument outputs, enabling detailed studies of complex atmospheric processes. proprietary
+EarthCAREOrbitData_2.0 EarthCARE Orbit Data ESA STAC Catalog 2024-05-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3325393874-ESA.umm_json EarthCARE data products encompass essential supporting auxiliary (AUX) and orbit data critical for accurate sensor data processing and analysis. Orbit data consists of on-board satellite data and orbital information predicted or determined by the Flight Operations Segment (FOS). For EarthCARE, this includes Reconstructed Orbit and Attitude Files, which provide detailed satellite positioning and orientation information. The integration of AUX and orbit data into EarthCARE's data processing workflow ensures the production of high-quality, scientifically valuable datasets for atmospheric research, climate modeling, and environmental monitoring. proprietary
East Africa Agricultural Field Centers_1 East Africa Agricultural Field Centers MLHUB STAC Catalog 2020-01-01 2023-01-01 28.9018327, -9.2148091, 37.2322299, 1.229293 https://cmr.earthdata.nasa.gov/search/concepts/C2781412176-MLHUB.umm_json Georeferenced crop yield prediction is a valuable tool for agronomists and policymakers. One challenge with many existing datasets is that of location accuracy. GPS locations for fields can end up offset from the true location due to sensor inaccuracies or from locations being collected at the edges of fields rather than the field centers. This makes it harder to connect remote-sensed data to the yield values. The goal of this project was to produce a method that can help correct these location offsets by finding the most probable field center given an input location. proprietary
EastAnglia10YearMean_549_1 Global 10-Year Mean Monthly Climatology, 1901-1990 (New et al.) ORNL_CLOUD STAC Catalog 1901-01-01 1991-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2776882677-ORNL_CLOUD.umm_json A data set of decade-mean monthly surface climate over global land areas, excluding Antarctica. Interpolated from station data to 0.5 degree lat/lon for a range of variables: precipitation, wet-day frequency, mean temperature and diurnal temperature range (from which maximum temperature and and minimum temperature can be determined), vapour pressure, cloud cover, ground-frost frequency. proprietary
EastAnglia30YearMean_550_1 Global 30-Year Mean Monthly Climatology, 1901-1960 (New et al.) ORNL_CLOUD STAC Catalog 1901-01-01 1961-01-01 -180, -60, 180, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2776885667-ORNL_CLOUD.umm_json A data set of 30-year mean monthly surface climate over global land areas, excluding Antarctica. Interpolated from station data to 0.5 degree lat/lon for a range of variables: precipitation, wet-day frequency, mean temperature and diurnal temperature range (from which maximum temperature and and minimum temperature can be determined), vapour pressure, cloud cover, ground-frost frequency. proprietary
@@ -5136,7 +5134,7 @@ Enderby_Ht_1 Ice Sheet Surface Elevation data: Enderby Land 1975/76 AU_AADC STAC
Environmental_Disturbances_AK_1705_1 ABoVE: Environmental Conditions and Subsistence Resource Access, Alaska, 2016-2017 ORNL_CLOUD STAC Catalog 2016-02-15 2017-06-22 -160.72, 61.7, -141.27, 67.08 https://cmr.earthdata.nasa.gov/search/concepts/C2143403416-ORNL_CLOUD.umm_json This dataset provides descriptions and photos of environmental conditions that impacted availability to subsistence resources by residents in nine rural communities within the Yukon River basin of Interior Alaska. The data (photos) were collected by citizens (harvesters) residing in the communities while engaged in subsistence harvesting activities. The data include descriptions of the environmental condition captured in the photo, photo date, an explanation of how the condition influenced travel and access to resources, the subsistence activity when the photo was taken, effects of the environmental condition on the participant's safety, and the participant's observations regarding frequency and extent of the condition. A sensitivity metric was derived that incorporated the adaptive capacity of the participants to environmental conditions. The observations are for the period February 2016 - June 2017. proprietary
Environmental_Kerguelen_Plateau_1955_2012_1 Environmental parameters (1955-2012) for echinoids distribution modelling on the Kerguelen Plateau AU_AADC STAC Catalog 1955-01-01 2012-01-01 61, -56, 83, -46 https://cmr.earthdata.nasa.gov/search/concepts/C1297568202-AU_AADC.umm_json Environmental variables in the region of the Kerguelen Plateau compiled from different sources and provided in the ascii raster format. Mean surface and seafloor temperature, salinity and their respective amplitude data are available on the time coverage 1955-2012 and over five decades: 1955 to 1964, 1965 to 1974, 1975 to 1984, 1985 to 1994 and 1995 to 2012. N/A was set as the no data reference. Future projections are provided for several parameters: they were modified after the Bio-ORACLE database (Tyberghein et al. 2012). They are based on three IPCC scenarii (B1, AIB, A2) for years 2100 and 2200 (IPCC, 4th report). proprietary
Environmental_data_Southern_Ocean_1 Environmental data of the Southern Ocean, 1955-2012 AU_AADC STAC Catalog 1955-01-01 2012-12-31 -180, -78, 180, -30 https://cmr.earthdata.nasa.gov/search/concepts/C1401967322-AU_AADC.umm_json Environmental descriptors that are available for the study area (-180 degrees W/+180 degrees E; -45 degrees/-78 degrees S) and for the following periods: 1955-1964, 1965-1974, 1975-1984, 1985-1994, 1995-2012. They were compiled from different sources and transformed to the same grid resolution of 0.1 degree pixel. We also provide future projections for environmental descriptors established based on the Bio-Orable database (Tyberghein et al. 2012). They come from IPCC scenarii (B1, AIB, A2) for years 2100 and 2200 (IPCC, 4th report). proprietary
-EnvisatAATSRL1BBrightnessTemperatureRadianceAT1RBT_NA Envisat AATSR L1B Brightness Temperature/Radiance [ENV_AT_1_RBT] ESA STAC Catalog 2002-05-20 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2619280648-ESA.umm_json The Envisat AATSR Level 1B Brightness Temperature/Radiance product (RBT) contains top of atmosphere (TOA) brightness temperature (BT) values for the infra-red channels and radiance values for the visible channels, on a 1-km pixel grid. Values for each channel and for the nadir and oblique views occupy separate NetCDF files within the Sentinel-SAFE format, along with associated uncertainty estimates. Additional files contain cloud flags, land and water masks, and confidence flags for each image pixel, as well as instrument and ancillary meteorological information. This AATSR product [ENV_AT_1_RBT] in NetCDF format stemming from the 4th AATSR reprocessing, is a continuation of ERS ATSR data and a precursor of Sentinel-3 SLSTR data. It has replaced the former L1B product [ATS_TOA_1P] in Envisat format from the 3rd reprocessing. Users with Envisat-format products are recommended to move to the new Sentinel-SAFE like/NetCDF format products. The 4th reprocessing of ENVISAT AATSR data was completed in 2022; the processing updates that have been put in place and the expected scientific improvements have been outlined in full in the _$$User Documentation for (A)ATSR 4th Reprocessing Products$$ https://earth.esa.int/documents/20142/37627/QA4EO-VEG-OQC-MEM-4538_User_Documentation_for__A_ATSR_4th_Reprocessing_Level_1.pdf . proprietary
+EnvisatAATSRL1BBrightnessTemperatureRadianceAT1RBT_8.0 Envisat AATSR L1B Brightness Temperature/Radiance [ENV_AT_1_RBT] ESA STAC Catalog 2002-05-20 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2619280648-ESA.umm_json The Envisat AATSR Level 1B Brightness Temperature/Radiance product (RBT) contains top of atmosphere (TOA) brightness temperature (BT) values for the infra-red channels and radiance values for the visible channels, on a 1-km pixel grid. Values for each channel and for the nadir and oblique views occupy separate NetCDF files within the Sentinel-SAFE format, along with associated uncertainty estimates. Additional files contain cloud flags, land and water masks, and confidence flags for each image pixel, as well as instrument and ancillary meteorological information. This AATSR product [ENV_AT_1_RBT] in NetCDF format stemming from the 4th AATSR reprocessing, is a continuation of ERS ATSR data and a precursor of Sentinel-3 SLSTR data. It has replaced the former L1B product [ATS_TOA_1P] in Envisat format from the 3rd reprocessing. Users with Envisat-format products are recommended to move to the new Sentinel-SAFE like/NetCDF format products. The 4th reprocessing of ENVISAT AATSR data was completed in 2022; the processing updates that have been put in place and the expected scientific improvements have been outlined in full in the _$$User Documentation for (A)ATSR 4th Reprocessing Products$$ https://earth.esa.int/documents/20142/37627/QA4EO-VEG-OQC-MEM-4538_User_Documentation_for__A_ATSR_4th_Reprocessing_Level_1.pdf . proprietary
Erosion_Vegetation_Yukon_1616_1 ABoVE: Riverbank Erosion and Vegetation Changes, Yukon River Basin, Alaska, 1984-2017 ORNL_CLOUD STAC Catalog 1984-01-01 2017-12-31 -161.46, 61.91, -143.3, 68.15 https://cmr.earthdata.nasa.gov/search/concepts/C2162145546-ORNL_CLOUD.umm_json This dataset provides a time series of riverbank erosion and vegetation colonization along reaches of the Yukon River (3 study areas), Tanana and Nenana Rivers (1 area), and Chandalar River (1 area) in interior Alaska over the period 1984-2017. The change data were derived from selected 30-m images from Landsat TM, Landsat ETM+, and Landsat Operational Land Imager (OLI) surface reflectance products. Image classification used the Normalized Differenced Vegetation Index (NDVI) with an NDVI threshold of 0.2 to differentiate vegetated from non-vegetated pixels. Images were assigned to one of seven or eight multiyear intervals, within the 1984-2017 overall range, for each study area. Time intervals vary by study site. Change detection identified shifts from one time interval to the next: changes from vegetated to non-vegetated classes were considered riverbank erosion and changes from non-vegetated to vegetated classes were considered vegetation colonization. proprietary
Estimated_Biomass_Stock_Amazon_1648_1 LiDAR and PALSAR-Derived Forest Aboveground Biomass, Paragominas, Para, Brazil, 2012 ORNL_CLOUD STAC Catalog 2012-01-01 2013-12-31 -49, -4.01, -46, -2 https://cmr.earthdata.nasa.gov/search/concepts/C2408633153-ORNL_CLOUD.umm_json This dataset provides estimates of forest aboveground biomass for three study areas and the entire Paragominas municipality, in Para, Brazil, in 2012. Aboveground biomass (in megagrams of carbon per hectare) was measured for inventory plots within the study (focal) areas, and then assimilated and modeled with LiDAR and PALSAR metrics using gradient boosting machines (GBM) to predict spatially explicit forest aboveground biomass and uncertainties for the entire focal areas. The PALSAR data across the three focal areas was combined and used in a GBM model to predict forest aboveground biomass across the entire Paragominas municipality. proprietary
Eurasia_Biomass_1278_1 LiDAR-based Biomass Estimates, Boreal Forest Biome, Eurasia, 2005-2006 ORNL_CLOUD STAC Catalog 2005-06-08 2006-06-26 4, 45, 172, 70 https://cmr.earthdata.nasa.gov/search/concepts/C2784385784-ORNL_CLOUD.umm_json This data set provides estimates of aboveground biomass (AGB) for defined land cover types within World Wildlife Fund (WWF) ecoregions across the boreal biome of eastern and western Eurasia, roughly between 50 and 70 degrees N. The study focused on within-growing-season data, i.e. leaf-on conditions.The AGB estimates were derived from a series of models that first related ground-based measured biomass to airborne data collected with an Optech Airborne Laser Terrain Mapper (ALTM) 3100, and a second set of models that related the airborne estimates of biomass to Geoscience Laser Altimeter System (GLAS) LiDAR canopy structure measurements. The ground, airborne, and GLAS measurements were used to formulate the models needed to generate biomass predictions for western Eurasia. Eastern Eurasia employed a two-phase approach relating field measurements directly to the GLAS measurements without the airborne intermediary. The GLAS LiDAR biomass estimates were extrapolated by land cover types and ecoregions across the entire biome area.The study compiled remotely sensed forest structure data collected in June of 2005 and 2006 from the GLAS LiDAR instrument aboard the NASA Ice, Cloud, and land Elevation (ICESat) satellite and from an Optech Airborne Laser Terrain Mapper (ALTM) 3100 airborne instrument flown in Southeast Norway over both the ground plots and the ICESat GLAS flight path. For a consistent biome-level analysis, ecoregions contained within the boreal forest biome were identified by the World Wildlife Fund's (WWF) ecoregion map of the world (Olson et al., 2001). MODIS MOD12Q1 land cover products (2004) were used to identify land cover types for stratification purposes within eco-regions. The ground-based measurements are not provided with this data set. proprietary
@@ -5151,6 +5149,9 @@ FAOd0018_148 Distribution of Major Soil Types CEOS_EXTRA STAC Catalog 1970-01-01
FAOd0019_148 Digital Soil Map of the World and Derived Soil Properties. CEOS_EXTRA STAC Catalog 1970-01-01 6.11, 36.15, 19.33, 47.71 https://cmr.earthdata.nasa.gov/search/concepts/C2232283478-CEOS_EXTRA.umm_json "This CD-ROM contains the Digital Soil Map of the World in various formats, verctor as well as raster, supported by most GIS software. The base material is the FAO/UNESCO Soil Map of the World at an original scale of 1:5 million. Programs and data files give tabular country information on soil characteristics and derived soil properties from the map are included, such as pH, organic carbon content and soil moisture storage capability. In addition programs and data files are included that display derived soil properties. The revision included the adding of a number of user-friendly ArcView files allowing the display of dominant soils by continent and the inclusion of the update of the image of the WRB World Soil Resources Map. ""http://www.fao.org/icatalog/search/dett.asp?aries_id=103540""" proprietary
FAOd0020_148 Hydrological Basins of Africa CEOS_EXTRA STAC Catalog 1970-01-01 -17.3, -34.6, 51.1, 38.2 https://cmr.earthdata.nasa.gov/search/concepts/C2232283043-CEOS_EXTRA.umm_json Hydrological Basins of Africa, with major basins and sub basins, automatically derived from USGS topographic data with some manual corrections in flat areas. Current version completed March 2000. proprietary
FAUNA_PENGUIN_COLONY_1 A census of penguin colony counts (provided to OBIS) from the year 1900 to 1996 in the Antarctic Region AU_AADC STAC Catalog 1901-01-01 1996-12-31 -180, -80, 180, -45 https://cmr.earthdata.nasa.gov/search/concepts/C1214313468-AU_AADC.umm_json This dataset is a census of penguin colony counts from the year 1900 in the Antarctic region. It forms part of the Inventory of Antarctic seabird breeding sites within the Antarctic and subantarctic islands. The Antarctic and subantarctic fauna database (seabirds) is a database detailing the distribution and abundance of breeding localities for Antarctic and Subantarctic seabirds. Each species' compilation was produced by members of the SCAR Bird Biology Subcommittee. This separate metadata record has been created beacause it represents only the penguin colony counts that have been published to OBIS. Note: The Year (not day or month) date is only relevent in this dataset. The positions that have been published to OBIS include latitude and longitude positions that were not included within the original dataset. The latitude and longitude positions that were not noted by the observer have been created from the locality given by the observer using the Antarctic Composite Gazetteer. Two spreadsheets are available for download, from the URL given below. The original, unmodified spreadsheet is available, as well as a corrected spreadsheet. In the corrected spreadsheet, the AADC has attempted to reconcile the poorly presented localities into a single column. It is possible that some of these localities may not be correct. The fields in this dataset are: SCAR Number Species Region Locality Longitude Latitude Number of Colonies Number of Pairs Type and accuracy of count Data Date References Remarks These data are further referenced in ANARE Research Notes 9 - see reference below. proprietary
+FDRforAltimetry_6.0 Fundamental Data Records for Altimetry [ALT_FDR___] ESA STAC Catalog 1991-08-03 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3325394451-ESA.umm_json This dataset is a Fundamental Data Record (FDR) resulting from the _$$ESA FDR4ALT project$$ https://www.fdr4alt.org/ . The Fundamental Data Record for Altimetry V1 products contain Level 0 and Level 1 altimeter-related parameters including calibrated radar waveforms and supplementary instrumental parameters describing the altimeter operating status and configuration through the satellite lifetime. The data record consists of data for the ERS-1, ERS-2 and Envisat missions for the period ranging from 1991 to 2012, and bases on the Level 1 data obtained from previous ERS REAPER and ENVISAT V3.0 reprocessing efforts incorporating new algorithms, flags, and corrections to enhance the accuracy and reliability of the data. For many aspects, the Altimetry FDR product has improved compared to the existing individual mission datasets: New neural-network waveform classification, surface type classification, distance to shoreline and surface flag based on GSHHG Instrumental calibration information directly available in the product Improved Orbit solutions Correction of REAPER drawbacks (i.e., time jumps and negative waveforms) The FDR4ALT products are available in NetCDF format. Free standard tools for reading NetCDF data can be used. Information for expert altimetry users is also available in a dedicated NetCDF group within the products. Please consult the _$$FDR4ALT Product User Guide$$ https://earth.esa.int/eogateway/documents/d/earth-online/fdr4alt-products-user-guide before using the data. The FDR4ALT datasets represent the new reference data for the ERS/Envisat altimetry missions, superseding any previous mission data. Users are strongly encouraged to make use of these datasets for optimal results. proprietary
+FDRforAtmosphericCompositionATMOSL1B_4.0 Fundamental Data Record for Atmospheric Composition [ATMOS__L1B] ESA STAC Catalog 1995-06-28 2012-04-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3325394388-ESA.umm_json "The Fundamental Data Record (FDR) for Atmospheric Composition UVN Level 1b v.1.0 dataset is a cross-instrument Level-1 product [ATMOS__L1B] generated in 2023 and resulting from the _$$ESA FDR4ATMOS project$$ https://atmos.eoc.dlr.de/FDR4ATMOS/ . The FDR contains selected Earth Observation Level 1b parameters (irradiance/reflectance) from the nadir-looking measurements of the ERS-2 GOME and Envisat SCIAMACHY missions for the period ranging from 1995 to 2012. The data record offers harmonised cross-calibrated spectra, essential for subsequent trace gas retrieval. The focus lies on spectral windows in the Ultraviolet-Visible-Near Infrared regions the retrieval of critical atmospheric constituents like ozone (O3), sulphur dioxide (SO2), nitrogen dioxide (NO2) column densities, alongside cloud parameters in the NIR spectrum. For many aspects, the FDR product has improved compared to the existing individual mission datasets: • GOME solar irradiances are harmonised using a validated SCIAMACHY solar reference spectrum, solving the problem of the fast-changing etalon present in the original GOME Level 1b data; • Reflectances for both GOME and SCIAMACHY are provided in the FDR product. GOME reflectances are harmonised to degradation-corrected SCIAMACHY values, using collocated data from the CEOS PIC sites; • SCIAMACHY data are scaled to the lowest integration time within the spectral band using high-frequency PMD measurements from the same wavelength range. This simplifies the use of the SCIAMACHY spectra which were split in a complex cluster structure (with own integration time) in the original Level 1b data; • The harmonization process applied mitigates the viewing angle dependency observed in the UV spectral region for GOME data; • Uncertainties are provided. Each FDR product covers three FDRs (irradiance/reflectance for UV-VIS-NIR) for a single day within the same product including information from the individual ERS-2 GOME and Envisat SCIAMACHY orbits therein. FDR has been generated in two formats: Level 1A and Level 1B targeting expert users and nominal applications respectively. The Level 1A [ATMOS__L1A] data include additional parameters such as harmonisation factors, PMD, and polarisation data extracted from the original mission Level 1 products. The ATMOS__L1A dataset is not part of the nominal dissemination to users. In case of specific requirements, please contact _$$EOHelp$$ http://esatellus.service-now.com/csp?id=esa_simple_request&sys_id=f27b38f9dbdffe40e3cedb11ce961958 . The FDR4ATMOS products should be regarded as experimental due to the innovative approach and the current use of a limited-sized test dataset to investigate the impact of harmonization on the Level 2 target species, specifically SO2, O3 and NO2. Presently, this analysis is being carried out within follow-on activities. One of the main aspects of the project was the characterization of Level 1 uncertainties for both instruments, based on metrological best practices. The following documents are provided: 1. General guidance on a metrological approach to Fundamental Data Records (FDR) -> link TBC 2. Uncertainty Characterisation document -> link TBC 3. Effect tables -> link TBC 4. NetCDF files containing example uncertainty propagation analysis and spectral error correlation matrices for SCIAMACHY (Atlantic and Mauretania scene for 2003 and 2010) and GOME (Atlantic scene for 2003) links TBC reflectance_uncertainty_example_FDR4ATMOS_GOME.nc reflectance_uncertainty_example_FDR4ATMOS_SCIA.nc The FDR V1 is currently being extended to include the MetOp GOME-2 series. All the new products are conveniently formatted in NetCDF. Free standard tools, such as _$$Panoply$$ https://www.giss.nasa.gov/tools/panoply/ , can be used to read NetCDF data. Panoply is sourced and updated by external entities. For further details, please consult our _$$Terms and Conditions page$$ https://earth.esa.int/eogateway/terms-and-conditions ." proprietary
+FDRforRadiometry_5.0 Fundamental Data Records for Radiometry [MWR_FDR___] ESA STAC Catalog 1991-08-03 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3325393568-ESA.umm_json This dataset is a Fundamental Data Record (FDR) resulting from the _$$ESA FDR4ALT project$$ https://www.fdr4alt.org/ . The Fundamental Data Record for Radiometry V1 products contain intercalibrated Top of the Atmosphere brightness temperatures at 23.8 and 36.5 GHz. The collection covers data for the ERS-1, ERS-2 and Envisat missions, and is built upon a new processing of Level 0 data, incorporating numerous improvements in terms of algorithms, flagging procedures, and corrections. Compared to existing datasets, the Radiometry FDR demonstrates notable improvements in several aspects: New solutions for instrumental effects (ERS Reflector loss, Skyhorn, and Sidelobe corrections) Native sampling rate of 7Hz with enhanced coverage The FDR4ALT products are available in NetCDF format. Free standard tools for reading NetCDF data can be used. Information for expert altimetry users is also available in a dedicated NetCDF group within the products. Please consult the _$$FDR4ALT Product User Guide$$ https://earth.esa.int/eogateway/documents/d/earth-online/fdr4alt-products-user-guide before using the data. The FDR4ALT datasets represent the new reference data for the ERS/Envisat altimetry missions, superseding any previous mission data. Users are strongly encouraged to make use of these datasets for optimal results. proprietary
FEDMAC_AEROSOLS Aerosol Optical Thickness Measurements During the Forest Ecosystem Dynamics - Multisensor Aircraft Campaign SCIOPS STAC Catalog 1990-09-08 1990-09-15 -68, 45, -68, 45 https://cmr.earthdata.nasa.gov/search/concepts/C1214600425-SCIOPS.umm_json " Forest Ecosystem Dynamics Multisensor Airborne Campaign (FED MAC): Aerosol Optical Thickness The Biospheric Sciences Branch (formerly Earth Resources Branch) within the Laboratory for Terrestrial Physics at NASA's Goddard Space Flight Center and associated University investigators are involved in a research program entitled Forest Ecosystem Dynamics (FED) which is fundamentally concerned with vegetation change of forest ecosystems at local to regional spatial scales (100 to 10,000 meters) and temporal scales ranging from monthly to decadal periods (10 to 100 years). The nature and extent of the impacts of these changes, as well as the feedbacks to global climate, may be addressed through modeling the interactions of the vegetation, soil, and energy components of the boreal ecosystem. Measurement of atmospheric attenuation and hence estimate of the aerosol optical thickness were made in the Northern Experimental Forest (NEF) in Howland, Maine, with sunphotometers. This parameter is useful in calibration and correction of other measurements made with remote sensing instruments at FED sites. Measurements were made with the eight channel sun-photometer named SXM-2 (440, 522, 613, 672, 781, 871 and 1030 nm with 10 nm FWHM) located on the ground. It tracks the sun automatically using a 4 quadrant detector. The detector is a silicon photodiode which is kept at a constant temperature. The instrument has a 1.5 degree field-of-view. The FED Home Page is at: ""https://forest.gsfc.nasa.gov/"". " proprietary
FEDMAC_ALPS Airborne Laser Polarization Sensor (ALPS) Experiment During the Forest Ecosystem Dynamics - Multisensor Airborne Campaign SCIOPS STAC Catalog 1990-09-09 1990-09-11 -68, 45, -68, 45 https://cmr.earthdata.nasa.gov/search/concepts/C1214600409-SCIOPS.umm_json " Forest Ecosystem Dynamics Multisensor Airborne Campaign (FED MAC): Airborne Laser Polarization Experiment The Biospheric Sciences Branch (formerly Earth Resources Branch) within the Laboratory for Terrestrial Physics at NASA's Goddard Space Flight Center and associated University investigators are involved in a research program entitled Forest Ecosystem Dynamics (FED) which is fundamentally concerned with vegetation change of forest ecosystems at local to regional spatial scales (100 to 10,000 meters) and temporal scales ranging from monthly to decadal periods (10 to 100 years). The nature and extent of the impacts of these changes, as well as the feedbacks to global climate, may be addressed through modeling the interactions of the vegetation, soil, and energy components of the boreal ecosystem. A new remote sensing instrument, the Airborne Laser Polarization Sensor (ALPS), mounted on a helicopter, was used to make multispectral radiometric and polarization measurements of the Earth's surface using a polarized laser light source. The ALPS system consists of a pulsed, polarized laser source, an optical receiver package, a video camera and recorder, and data acquisition and analysis hardware and software. The choice of laser wavelengths is limited to frequencies from the ultraviolet to the near-infrared by the photo-cathode response of the selected photo multiplier tube (PMT) detectors. Twelve PMTs were used corresponding to the 12 channels of data: Channels 1,2,3,4,9 & 10 have 1090 nm bandpass filters. The reminder are for 532 nm. Channels 9 and 11 have no polarization filters. For each wavelength, polarization filters are mounted in front of each PMT at angles relative to the transmitted polarization. A pulsed (7 ns) Nd:YAG laser is employed. It operates in the infrared at 1060 nm and the visible at 532 nm. The 532 nm green wavelength can be seen near the center of the TV screen as it hits the surface in most cases. This is used for ground truth correlation. The spot is about 20 cm in diameter from 100 meters altitude. In these data for ALPS Experiment for the FED MAC 90, the file tabulation refers to data files taken on September 9 and 11. A standard VHS video tape is available (the master tapes are recorded at the SP speed on Super-VHS). The first half of this tape is from a camera coaxial with the laser transmission. Time on the tape correspond to file times while oral comments on the tape supplement the general comments. The second half of the tape consists primarily of site descriptive narration on the ground and some pictures of the helicopter setup. The FED Home Page is at: ""https://forest.gsfc.nasa.gov/"". " proprietary
FEWS_precip_711_1 SAFARI 2000 FEWS 10-day Rainfall Estimate, 8-Km, 1999-2001 ORNL_CLOUD STAC Catalog 1999-01-01 2001-12-31 20.64, -42.28, 50.52, 10.1 https://cmr.earthdata.nasa.gov/search/concepts/C2788383221-ORNL_CLOUD.umm_json The U.S. Agency for International Development (USAID) Famine Early Warning System (FEWS) has been supporting the production of 10-day Rainfall Estimate (RFE) data for Africa since 1995. The FEWSNET project was established with the goal of reducing the incidence of drought- or flood-induced famine by providing decision makers with timely and accurate information on conditions that may require intervention. RFE data for continental Africa for 1999, 2000, and 2001 were downloaded the from the African Data Dissemination Service (ADDS) site and were subset for southern Africa by the SAFARI 2000 data group. The RFE 1.0 algorithm, implemented from 1995 to 2000, uses an interpolation method to combine Meteosat and Global Telecommunication System (GTS) data, and warm cloud information for the 10-day estimations. The 30-minute geostationary Meteosat-7 satellite infrared data are used to estimate convective rainfall from areas where cloud top temperatures are less than 235K. The RFE 2.0 algorithm, implemented as of January 1, 2001, uses additional techniques to better estimate precipitation while continuing the use of cold cloud duration and station rainfall data. proprietary
@@ -5334,6 +5335,7 @@ FRAMNESCOAST_1 Framnes Mountains Coastal Region Photogrammetric Mapping AU_AADC
FRONT_0 National Ocean Partnership Program (NOPP) Front Resolving Observational Network with Telemetry (FRONT) site OB_DAAC STAC Catalog 2000-12-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360236-OB_DAAC.umm_json National Ocean Partnership Program (NOPP) Front Resolving Observational Network with Telemetry (FRONT) site, New England, measurements made between 2000 and 2002. proprietary
FSNRAD_L2_VIIRS_CRIS_NOAA20_2 NOAA20 VIIRS+CrIS Fusion 6-Min L2 Swath 750 m LAADS STAC Catalog 2012-03-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2230035528-LAADS.umm_json The VIIRS-CrIS Data Fusion Level-2 Product is designed to facilitate improved continuity in derived cloud and moisture products realized with the High Resolution Infrared Radiation Sounder (HIRS) and the Moderate resolution Imaging Spectroradiometer (MODIS) and to continue other applications that require IR absorption spectral bands. Based on data fusion with VIIRS (Visible Infrared Imaging Radiometer Suite) and CrIS (Cross-track Infrared Sounder), infrared (IR) absorption band radiances for VIIRS are constructed at 750m spatial resolution (i.e., M-band resolution). These spectral bands are similar to the MODIS spectral bands. The fusion radiances, and look-up tables required to compute the related brightness temperatures, are stored in compressed NetCDF4 files of 6-minutes duration. This L2 NOAA-20 VIIRS+CrIS product release relates to Version-2.0 (v2.0) collection, which has undergone some improvements over its previous version. In the v2.0 Fusion product, scanlines are checked for quality instead of the entire input granule as was done in the previous version of this product. Such a process has helped salvage and use granules with continuous blocks of good data with good calibration. The v2.0 product also includes a couple of improvements to the VIIRS-CrIS collocation. The first relates to how VIIRS scan sync loss events are addressed while the other correctly characterizes VIIRS pixels that should have been identified as falling within a CrIS Field-of-View. A final improvement in the v2.0 product attempts to correct an artifact detected over warm, dry surfaces in the water vapor channels that are derived using the MODIS Band-27 and -28 response functions that apparently manifest signs of surface features that should not exist for these channels. Check the User Guide for further details on these improvements. The L2 VIIRS+CrIS Fusion product has a horizontal pixel size of 750 m, which is the native VIIRS moderate-resolution (M) band pixel-size. Consult the VIIRS+CrIS Fusion product User Guide (https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/viirs/VIIRSCrISFusionUserGuidev1.11.pdf) for additional information regarding this product’s algorithm, file format, global and data-field attributes, quality control flags, etc. proprietary
FSNRAD_L2_VIIRS_CRIS_SNPP_2 SNPP VIIRS+CrIS Fusion 6-Min L2 Swath 750 m LAADS STAC Catalog 2012-04-17 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2230044764-LAADS.umm_json The VIIRS-CrIS Data Fusion Level-2 Product is designed to facilitate improved continuity in derived cloud and moisture products realized with HIRS and MODIS and to continue other applications that require IR absorption spectral bands. Based on data fusion with VIIRS (Visible Infrared Imaging Radiometer Suite) and CrIS (Cross-track Infrared Sounder), infrared (IR) absorption band radiances for VIIRS are constructed at 750m spatial resolution (i.e., M-band resolution). These spectral bands are similar to the MODIS spectral bands. This L2 SNPP VIIRS+CrIS product release relates to Version-2.0 (v2.0) collection, which has undergone some improvements over its previous version. In the v2.0 Fusion product, scanlines are checked for quality instead of the entire input granule as was done in the previous version of this product. Such a process has helped salvage and use granules with continuous blocks of good data with good calibration. The v2.0 product also includes a couple of improvements to the VIIRS-CrIS collocation. The first relates to how VIIRS scan sync loss events are addressed while the other correctly characterizes VIIRS pixels that should have been identified as falling within a CrIS Field-of-View. A final improvement in the v2.0 product attempts to correct an artifact detected over warm, dry surfaces in the water vapor channels that are derived using the MODIS Band-27 and -28 response functions that apparently manifest signs of surface features that should not exist for these channels. Check the User Guide for further details on these improvements. The fusion radiances, and look-up tables required to compute the related brightness temperatures, are stored in compressed NetCDF4 files of 6-minutes duration. The L2 VIIRS+CRiS Fusion product has a horizontal pixel size of 750m, which is the native VIIRS moderate-resolution (M) band pixel-size. Consult the VIIRS+CRiS Fusion product User Guide for additional information regarding this product’s algorithm, file format, global and data-field attributes, quality control flags, etc. proprietary
+FSSCat.products_5.0 FSSCat products ESA STAC Catalog 2020-09-23 2021-01-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3325394553-ESA.umm_json The FSSCat collection provides hyperspectral data coverage over a number of locations around the world, as measured by the HyperScout 2 sensor. The FSSCat hyperspectral data products are comprised of 50 spectral bands, covering a spectral range of 450 – 950 nm with a spectral resolution of 18 nm (at FWHM). Imagery is available with an along-track ground sampling distance (GSD) of 75 m. To ensure a high degree of radiometric accuracy, HyperScout 2 data are validated through comparison with Sentinel-2 data products. The processing level of the data is L1C – calibrated top-of-atmosphere radiance, reflectance or brightness temperature. The raster type of the L1C data product is a GRID – a 2D or 3D raster where the (geo)location of the data is uniquely defined by the upper left pixel location of the raster and the pixel size of the raster, and the projection parameters of the raster (if georeferenced). The third dimension can e.g. be a spectral or third spatial dimension. The L-1C VNIR data product includes a hyperspectral cube of TOA reflectance in the VNIR range, as well as relevant meta-data that adheres to EDAP's best practice guidelines. This product consists of georeferenced and ortho-rectified image tiles that contain spectral reflectance data at the top-of-the-atmosphere. Each image tile contains radiometrically corrected and ortho-rectified band images that are projected onto a map, as well as geolocation information and the coordinate system used. Additionally, each image pixel provides TOA spectral reflectance data in scaled integers, conversion coefficients for spectral radiance units, viewing and solar zenith and azimuth angles, and quality flags. proprietary
F_Bibliography_1 A bibliography containing references to flora from the Antarctic and subantarctic regions AU_AADC STAC Catalog 1859-01-01 2002-12-31 -180, -70, 180, -50 https://cmr.earthdata.nasa.gov/search/concepts/C1214308563-AU_AADC.umm_json A bibliography of references relating to flora from the Antarctic and subantarctic regions, dating from 1859 to 2002. The bibliography was compiled by Dana Bergstrom, and contains 993 references. proprietary
FieldData_Alaska_Tundra_2177_1 Field Data on Soils, Vegetation, and Fire History for Alaska Tundra Sites, 1972-2020 ORNL_CLOUD STAC Catalog 1972-08-01 2020-08-15 -166.41, 61.14, -141.68, 71.33 https://cmr.earthdata.nasa.gov/search/concepts/C2756289636-ORNL_CLOUD.umm_json This dataset, titled the Synthesized Alaskan Tundra Field Database (SATFiD), provides a comprehensive collection of in-situ field data compiled from 37 existing datasets resulting from field surveys conducted at Alaska tundra sites between 1972 to 2020. The data were harmonized prior to being included in this dataset. The variables include active layer thickness, vegetation cover (by plant functional types), soil moisture and temperatures, as well as the wildfire history. SATFiD provides a unique lens into various long-term ecological processes within the tundra (such as the fire-permafrost-vegetation interactions) under a rapidly changing climate. proprietary
Field_Measurements_868_1 BigFoot Field Data for North American Sites, 1999-2003 ORNL_CLOUD STAC Catalog 1999-01-01 2003-12-31 -156.61, 34.32, -72.25, 71.27 https://cmr.earthdata.nasa.gov/search/concepts/C2751481641-ORNL_CLOUD.umm_json The BigFoot project gathered field data for selected EOS Land Validation Sites in North America from 1999 to 2003. Data collected and derived for varying intervals at the BigFoot sites and archived with this data set include FPAR, nitrogen content, allometry equations, root biomass, LAI, tree biomass, soil respiration, NPP, landcover images, and vegetation inventories.Each site is representative of one or two distinct biomes, including the Arctic tundra; boreal evergreen needleleaf forest; temperate cropland, grassland, and deciduous broadleaf forest; desert grassland and shrubland. The project collected multi-year, in situ measurements of ecosystem structure and functional characteristics related to the terrestrial carbon cycle at the sites listed in Table 1. Companion files include documentation of measurement data, site and plot locations (Figure 2), and plot photographs for the SEVI and TUND sites (Figure 3).BigFoot Project Background: Reflectance data from MODIS, the Moderate Resolution Imaging Spectrometer onboard NASA's Earth Observing System (EOS) satellites Terra and Aqua ( http://landval.gsfc.nasa.gov/MODIS/index.php ), was used to produce several science products including land cover, leaf area index (LAI), gross primary production (GPP), and net primary production (NPP). The overall goal of the BigFoot Project was to provide validation of these products. To do this, BigFoot combined ground measurements, additional high-resolution remote-sensing data, and ecosystem process models at six flux tower sites representing different biomes to evaluate the effects of the spatial and temporal patterns of ecosystem characteristics on MODIS products. BigFoot characterized up to a 7 x 7 km area (49 1-km MODIS pixels) surrounding the CO2 flux towers located at six of the nine BigFoot sites. The sampling design allowed the Project to examine scales and spatial patterns of these properties, the inter-annual variability and validity of MODIS products, and provided for a field-based ecological characterization of the flux tower footprint. BigFoot was funded by NASA's Terrestrial Ecology Program. proprietary
@@ -6088,7 +6090,9 @@ GEOS-3_ALT_GDR_1 GEOS-3 ALTIMETER GEOPHYSICAL DATA RECORD 1975-1978 POCLOUD STAC
GEOS-CF Products_1 GEOS CF (Composition Forecast) NCCS STAC Catalog 2018-01-01 -180, 90, 179.5, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633930911-NCCS.umm_json The NASA Global Earth Observing System (GEOS) model has been expanded to provide global nearreal- time forecasts of atmospheric composition at a horizontal resolution of 0.25 degrees (about 25 km). This GEOS Composition Forecast (GEOS-CF) system combines the GEOS weather analysis and forecasting system with the state-of-the-science GEOS-Chem chemistry module (Bey et al., 2001; Keller et al., 2014; Long et al., 2015) to provide detailed chemical analysis of a wide range of air pollutants including ozone, carbon monoxide, nitrogen oxides, and fine particulate matter (PM2.5). proprietary
GEOS2OBSINPUTINTL_001 GEOS-2 International Optical Beacon Data Input V001 (GEOS2OBSINPUTINTL) at GES DISC GES_DISC STAC Catalog 1968-02-20 1968-10-03 -180, -90, 179, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2801697484-GES_DISC.umm_json GEOS2OBSINPUTINTL is the optical beacon system data product which contains reduced raw geodetic optical observations obtained by various international camera systems. These data were used as input to the Quality Control Program to create the product called the International Optical Beacon Pass Summary Data. The optical beacon system, used for geometric geodesy studies, consisted of four xenon flash tubes programmed to flash sequentially, in a series of five or seven flashes. Data are available for the time period from 1968-02-20 to 1968-10-03 in a single file with 1689 data records where each is a line of ASCII text.\n\nThe principal investigator for the Optical Beacon System experiment was R. E. Williston from APL. A previous version of this instrument flew on the first GEOS-1 satellite. proprietary
GEOS3STST_001 GEOS-3 Satellite-to-Satellite Tracking Data V001 (GEOS3STST) at GES DISC GES_DISC STAC Catalog 1975-04-13 1976-04-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2829925415-GES_DISC.umm_json GEOS3STST is the satellite-to-satellite tracking data product which contains observations, obtained from the S-band transponders on GEOS 3 relayed by the ATS 6 spacecraft to various ground stations, used for geodetic studies. Data are available for the time period from 1975-04-13 to 1976-04-28 in sixteen files, written in ASCII text, where each measurement is recorded as two lines of text.\n\nThe principal investigator for the Satellite-to-Satellite Tracking experiment was Indalecio Y. Galicinao from NASA/GSFC. proprietary
-GEOSAT-2.Portugal.Coverage_NA GEOSAT-2 Portugal Coverage 2021 ESA STAC Catalog 2021-01-08 2021-12-11 -39, 28, -2, 48 https://cmr.earthdata.nasa.gov/search/concepts/C2619280469-ESA.umm_json "Description GEOSAT-2 Portugal coverage is a collection of a 2021`s data over the Portugal area, including islands. The available dataset hasve a cloud cover less thaen 10%, and is acquired up to 1m resolution with Geometric accuracy <6m CE90 based on Copernicus DEM @10m. in tThe following acquisition modesproduct types are available: • Pan-sharpened (4 bands, 321 Natural Colours or 432 False Colours): A four-band image, resulting from adding the information of each multispectral band to the panchromatic band. The fusion does not prereserves all spectral features of the multispectral bands, so it should not be used for radiometric purposes. Resolution 1m; Bands: All, R-G-B or Ni-R-G • Bundle: Panchromatic (1m resolution) + Multispectral bands (4m resolution): five-band image containing the panchromatic and multispectral products packaged together, with band co-registration. The available processing level is L1C orthorectified: a calibrated and radiometrically corrected product, manually orthorectified and resampled to a map grid. Product Type HRA_PM4_1C , HRA_PSH_1C Processing Level and Spatial Resolution L1B (native) L1C (ortho) Pan-sharpened 1.0m 1.0m Bundle (PAN+MS) 1.0m (P), 4.0m (MS) 1.0m (P), 4.0m(MS) Details" proprietary
+GEOSAT-1.and.2.ESA.archive_9.0 GEOSAT-1 and 2 ESA archive ESA STAC Catalog 2009-08-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3325394549-ESA.umm_json GEOSAT 1 and 2 collection is composed of products acquired by the GEOSAT 1 and GEOSAT 2 Spanish satellites. The collection regularly grows as ESA collects new products. GEOSAT-1 standard products offered are: • SL6_22P: SLIM6, 22m spatial resolution, from bank P • SL6_22S: SLIM6, 22m spatial resolution, from bank S • SL6_22T: SLIM6, 22m spatial resolution, 2 banks merged together GEOSAT-1 products are available in two different processing levels: • Level 1R: All 3 Spectral channels combined into a band-registered image using L0R data. Geopositioned product based on rigorous sensor model. Coefficients derived from internal and external satellite orientation parameters coming from telemetry and appended to metadata. • Level 1T: data Orthorectified to sub-pixel accuracy (10 meters RMS error approximately) with respect to Landsat ETM+ reference data and hole-filled seamless SRTM DEM data V3, 2006 (90 m). The use of the GCPs, it is not automatic, as it is done manually, which gives greater precision. (GCPs by human operators). GEOSAT-2 standard products offered are: • Pan-sharpened (HRA_PSH four-band image, HRA_PS3 321 Natural Colours, HRA_PS4 432 False Colours): a four-band image, resulting from adding the information of each multispectral band to the panchromatic band. The fusion does not preserve all spectral features of the multispectral bands, so it should not be used for radiometric purposes. • Panchromatic (HRA_PAN): a single-band image coming from the panchromatic sensor.HRA_MS4: Multispectral (HRA_MS4): a four-band image coming for the multispectral sensor, with band co-registration. • Bundle (HRA_PM4): a five-band image contains the panchromatic and multispectral products packaged together, with band co-registration. • Stereo Pair (HRA_STP): The image products obtained from two acquisitions of the same target performed from different viewpoints in the same pass by using the agility feature of the platform. It can be provided as a pair of pan sharpened or panchromatic images. GEOSAT-2 products are available in two different processing levels: • Level 1B: A calibrated and radiometrically corrected product, but not resampled. The product includes the Rational Polynomial Coefficients (RPC), the metadata with gain and bias values for each band, needed to convert the digital numbers into radiances at pixel level, and information about geographic projection (EPGS), corners geolocation, etc. • Level 1C: A calibrated and radiometrically corrected product, manually orthorectified and resampled to a map grid. The geometric information is contained in the GeoTIFF tags. Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/smcat/GEOSAT/ available on the Third Party Missions Dissemination Service. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided. proprietary
+GEOSAT-2.Portugal.Coverage_7.0 GEOSAT-2 Portugal Coverage 2021 ESA STAC Catalog 2021-01-08 2021-12-11 -39, 28, -2, 48 https://cmr.earthdata.nasa.gov/search/concepts/C2619280469-ESA.umm_json "Description GEOSAT-2 Portugal coverage is a collection of a 2021`s data over the Portugal area, including islands. The available dataset hasve a cloud cover less thaen 10%, and is acquired up to 1m resolution with Geometric accuracy <6m CE90 based on Copernicus DEM @10m. in tThe following acquisition modesproduct types are available: • Pan-sharpened (4 bands, 321 Natural Colours or 432 False Colours): A four-band image, resulting from adding the information of each multispectral band to the panchromatic band. The fusion does not prereserves all spectral features of the multispectral bands, so it should not be used for radiometric purposes. Resolution 1m; Bands: All, R-G-B or Ni-R-G • Bundle: Panchromatic (1m resolution) + Multispectral bands (4m resolution): five-band image containing the panchromatic and multispectral products packaged together, with band co-registration. The available processing level is L1C orthorectified: a calibrated and radiometrically corrected product, manually orthorectified and resampled to a map grid. Product Type HRA_PM4_1C , HRA_PSH_1C Processing Level and Spatial Resolution L1B (native) L1C (ortho) Pan-sharpened 1.0m 1.0m Bundle (PAN+MS) 1.0m (P), 4.0m (MS) 1.0m (P), 4.0m(MS) Details" proprietary
+GEOSAT2SpainCoverage10_11.0 GEOSAT-2 Spain Coverage ESA STAC Catalog 2021-03-01 2021-11-15 -19, 26, 6, 45 https://cmr.earthdata.nasa.gov/search/concepts/C3325394698-ESA.umm_json "The GEOSAT-2 Spain Coverage collection consists of two separate coverages of Spain, including the Balearic and Canary islands, acquired by GEOSAT-2 between March and November of 2021 and 2022, respectively. The available imagery have a geolocation accuracy of < 4 m RMSE, a cloud cover percentage of < 10 %, and were acquired at an off-nadir angle from -30° to 30°. Spatial coverage of the 2021 collection. The following product types are available: • Pan-sharpened: A four-band image, resulting from adding the information of each multispectral band to the panchromatic band. The fusion does not preserves all spectral features of the multispectral bands, so it should not be used for radiometric purposes. Resolution 1 m; Bands: All. • Bundle: Panchromatic (1 m resolution) + Multispectral bands (4 m resolution): five-band image containing the panchromatic and multispectral products packaged together, with band co-registration. The available processing level is L1C orthorectified: a calibrated and radiometrically corrected product, manually orthorectified and resampled to a map grid. Product Type Spatial Resolution Pan-sharpened 1.0 m Bundle (PAN + MS) 1.0 m (PAN), 4.0 m (MS)" proprietary
GEOS_CASAGFED_3H_NEE_2 GEOS-Carb CASA-GFED 3-hourly Ecosystem Exchange Fluxes 0.5 degree x 0.625 degree V2 (GEOS_CASAGFED_3H_NEE) at GES DISC GES_DISC STAC Catalog 2003-01-01 2016-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1701034748-GES_DISC.umm_json This product provides 3 hourly average net ecosystem exchange (NEE) and gross ecosystem exchange (GEE) of Carbon derived from the Carnegie-Ames-Stanford-Approach – Global Fire Emissions Database version 3 (CASA- GFED3) model. The NASA Carbon Monitoring System (CMS) is designed to make significant contributions in characterizing, quantifying, understanding, and predicting the evolution of global carbon sources and sinks through improved monitoring of carbon stocks and fluxes. The System will use the full range of NASA satellite observations and modeling/analysis capabilities to establish the accuracy, quantitative uncertainties, and utility of products for supporting national and international policy, regulatory, and management activities. CMS will maintain a global emphasis while providing finer scale regional information, utilizing space-based and surface-based data and will rapidly initiate generation and distribution of products both for user evaluation and to inform near-term policy development and planning. proprietary
GEOS_CASAGFED_3H_NEE_3 GEOS-Carb CASA-GFED 3-hourly Ecosystem Exchange Fluxes 0.5 degree x 0.625 degree V3 (GEOS_CASAGFED_3H_NEE) at GES DISC GES_DISC STAC Catalog 2003-01-01 2017-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1701034775-GES_DISC.umm_json This product provides 3 hourly average net ecosystem exchange (NEE) and gross ecosystem exchange (GEE) of Carbon derived from the Carnegie-Ames-Stanford-Approach – Global Fire Emissions Database version 3 (CASA- GFED3) model. The NASA Carbon Monitoring System (CMS) is designed to make significant contributions in characterizing, quantifying, understanding, and predicting the evolution of global carbon sources and sinks through improved monitoring of carbon stocks and fluxes. The System will use the full range of NASA satellite observations and modeling/analysis capabilities to establish the accuracy, quantitative uncertainties, and utility of products for supporting national and international policy, regulatory, and management activities. CMS will maintain a global emphasis while providing finer scale regional information, utilizing space-based and surface-based data and will rapidly initiate generation and distribution of products both for user evaluation and to inform near-term policy development and planning. proprietary
GEOS_CASAGFED_D_FIRE_2 GEOS-Carb CASA-GFED Daily Fire and Fuel Emissions 0.5 degree x 0.5 degree V2 (GEOS_CASAGFED_D_FIRE) at GES DISC GES_DISC STAC Catalog 2003-01-01 2016-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1701034739-GES_DISC.umm_json This product provides Daily average wildfire emissions (FIRE) and fuel wood burning emissions (FUEL) derived from the Carnegie-Ames-Stanford-Approach – Global Fire Emissions Database version 3 (CASA- GFED3) model. The NASA Carbon Monitoring System (CMS) is designed to make significant contributions in characterizing, quantifying, understanding, and predicting the evolution of global carbon sources and sinks through improved monitoring of carbon stocks and fluxes. The System will use the full range of NASA satellite observations and modeling/analysis capabilities to establish the accuracy, quantitative uncertainties, and utility of products for supporting national and international policy, regulatory, and management activities. CMS will maintain a global emphasis while providing finer scale regional information, utilizing space-based and surface-based data and will rapidly initiate generation and distribution of products both for user evaluation and to inform near-term policy development and planning. proprietary
@@ -6164,7 +6168,7 @@ GGD648_1 Geocryology and Geocryological Zonation of Mongolia, Version 1 NSIDCV0
GGD651_1 Arctic EASE-Grid Freeze and Thaw Depths, 1901 - 2002, Version 1 NSIDCV0 STAC Catalog 1901-01-01 2002-12-31 -180, 50, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386206909-NSIDCV0.umm_json This data set contains mean, median, minimum and maximum freeze and thaw depths for each year from 1901 to 2002 on the 25 km resolution Equal-Area Scalable Earth Grid (EASE-Grid) for areas north of 50 deg. Freeze and thaw depths are estimated using a variant of the Stefan solution using an edaphic factor and freezing or thawing indices as inputs. The edaphic factor is estimated based on different land surface types; the freezing and thawing indices are from Northern Hemisphere EASE-Grid annual freezing and thawing indices, 1901 - 2002 (Zhang, et al. 2005). Two ASCII files are available for each year for freeze depth and thaw depth, respectively. Each file is approximately 25.6 MB in size. In addition, there is one 10.5 MB ASCII file defining the latitude and longitude coordinates for each grid point. The data set is available via FTP as three compressed files. proprietary
GGD700_1 Boreholes and temperature logs from the Tibetan Plateau and Northeast China, Version 1 NSIDCV0 STAC Catalog 1962-08-31 1995-06-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1386206914-NSIDCV0.umm_json Four groups of borehole data from the Qinghai-Xizang (Tibet) Plateau are presented. 1) Boreholes at three sites, with sand surface, natural surface, and near a sand dune, at 66 Road Station - 1994 and 1995 measurements to about 17 meters. 2) Borehole temperatures at Borehole CK123 - 1979, 1984, 1994 measurements to 60 meters. 3) Borehole temperatures at five sites in Fenghuoshan Station area - 1962, 1967, 1980, 1984, 1989, 1994, 1995 measurements to 35 meters. 4) Boreholes at Xidatan-Kunlun Pass area - 1994 and 1995 measurements to 17.5 meters; 1994 and 1995 measurements to 25 meters; and 1975, 1976, 1979, 1985, 1989, 1994 and 1995 to 30 meters. Data provided by Wang Shaoling and Cheng Guodong, Lanzhou Institute of Glaciology and Geocryology. Some of these data are presented on the CAPS Version 1.0 CD-ROM, June 1998. proprietary
GGD906_1 Daily Soil Temperature and Meteorological Data for Sites at Toolik Lake Alaska, Version 1 NSIDCV0 STAC Catalog 1988-06-01 2002-08-30 -149.6, 68.63, -149.6, 68.63 https://cmr.earthdata.nasa.gov/search/concepts/C1386206916-NSIDCV0.umm_json This data set consists of daily air, water, and soil temperature, wind speed, vapor pressure, and the sum of global radiation and unfrozen precipitation data from the Toolik Lake area of Alaska between 1998 and 2002. The data includes readings from two sites: the Toolik Arctic Long Term Ecological Research (LTER) Tundra site and the nearby Toolik Tussock Experimental plots site that includes soil measurements from fertilized and unfertilized greenhouse and 'shadehouse' areas. Data loggers recorded soil temperatures at various intervals down to 150 cm. Air temperatures were recorded between 1 and 5 meters. The data consist of 28 comma-delimited ASCII text files, and are available via ftp. Data files for each site contain slightly different meteorological parameters. This data set is a subset of the more comprehensive data set, Monitoring and Manipulation of Tundra Response to Climate Change, Arctic LTER, Toolik Lake, Alaska. The research project was funded by the Arctic System Sciences (ARCSS) Program, grant number OPP-9810222. proprietary
-GHGSat.archive.and.tasking_NA GHGSat archive and tasking ESA STAC Catalog 2020-09-02 -180, -86.3, 180, 86.3 https://cmr.earthdata.nasa.gov/search/concepts/C2119689583-ESA.umm_json The GHGSat-C1 and GHGSat-C2 satellites capture with very high spatial and spectral resolution the greenhouse gas emissions and measures the vertical column densities of atmospheric gases through its hyperspectral imaging spectrometer operating in a narrow band of the short-wave infrared (SWIR) region of the electromagnetic spectrum. Both archive and new tasking data can be requested, based on a single observation of the scene, as well as the full year product which is the average annual emission rate based on as many observations as can be successfully collected. Following products are made available • Abundance dataset (Level 2): Set of per-pixel abundances (ppb or mol/m2) for a single species, and per-pixel measurement error expressed as a standard deviation for a single site on a single satellite pass. Data format is GeoTIFF (16-bit) or optionally GeoTIFF (32-bit or 64-bit floating point) • Concentration Maps (Level 2): High readability pseudocolour map combining surface reflectance, and column density expressed in ppb or mol/m2 for a single species in PNG (optional PDF) format. The relevant abundance dataset is provided as well. • Emission Rates (Level 4): Instantaneous emission rate from targeted source estimated using abundance datasets from a single satellite pass and applying dispersion modelling techniques in PDF format. The delivered product includes the emission rate estimate with uncertainty and key dispersion parameters (in CSV format) as well as the abundance dataset used for the emission estimate. The properties of available products are summarized in the table Table Details about the data provision, data access conditions and quota assignment procedure are described in the GHGSat Terms of Applicability (https://earth.esa.int/eogateway/documents/20142/37627/GHGSat-Terms-of-Applicability.pdf). proprietary
+GHGSat.archive.and.tasking_7.0 GHGSat archive and tasking ESA STAC Catalog 2020-09-02 -180, -86.3, 180, 86.3 https://cmr.earthdata.nasa.gov/search/concepts/C2119689583-ESA.umm_json "GHGSat data produce measures of vertical column densities of greenhouse gas emissions (currently CH4, but eventually CO2), provided on a pre-defined area of 12 km x 12 km, from the full sensor field-of-view. GHGSat Catalogue and New Collect data are available in three different data types: • Single Observation: a single observation of a scene. • Monthly Monitoring: guaranteed 12 successful observations in a year over a given site (once per month or flexible best effort cadence depending on weather). • Weekly Monitoring: guaranteed 52 successful observations in a year over a given site (once a week or flexible best effort cadence based on weather), to accommodate large & persistent monitoring needs. Data are provided as an Emissions package containing the following products: • Abundance dataset (Level 2): Set of per-pixel abundances in excess of the local background (ppb) for a single species, and per-pixel measurement error expressed as a standard deviation for a single site on a single satellite pass. Data format is 16-bit GeoTIFF. • Concentration Maps (Level 2): High readability pseudocolour map combining surface reflectance, and column density expressed in ppb for a single species in PNG format. The relevant abundance dataset is provided as well. • Emission Rates (Level 4): Instantaneous rate for a detected emission from a targeted source estimated using abundance datasets from a single satellite pass and applying dispersion modelling techniques. The delivered product includes the emission rate estimate with uncertainty and key dispersion parameters (in CSV format) as well as the abundance dataset used for the emission estimate. This product is only delivered in the Emissions package if an emission is detected within the abundance dataset. The Level 2 products will be delivered regardless of whether or not an emission is detected. The properties of the available products are summarised in the following table: Band(s) / Beam Mode(s) and Polarisation SWIR (1635-1675 nm), multiple bands, unpolarised Spatial Resolution <30 m Scene Size 12 km x 12 km Species Measured CH4 Geometric Corrections Radial distortion, perspective projection Radiometric Corrections Detector pixel response, ghosting, spectral response, atmospheric correction including trace gas modelling and surface reflectance Details about the data provision, data access conditions and quota assignment procedure are described in the GHGSat _$$Terms of Applicability$$ https://earth.esa.int/eogateway/documents/20142/37627/GHGSat-Terms-of-Applicability.pdf ." proprietary
GHISACASIA_001 Global Hyperspectral Imaging Spectral-library of Agricultural crops for Central Asia V001 LPCLOUD STAC Catalog 2006-04-30 2007-08-28 56, 36, 77, 45 https://cmr.earthdata.nasa.gov/search/concepts/C2763264649-LPCLOUD.umm_json The Global Hyperspectral Imaging Spectral-library of Agricultural crops (GHISA) is a comprehensive compilation, collation, harmonization, and standardization of hyperspectral signatures of agricultural crops of the world. This hyperspectral library of agricultural crops is developed for all major world crops and was collected by United States Geological Survey (USGS) and partnering volunteer agencies from around the world. Crops include wheat, rice, barley, corn, soybeans, cotton, sugarcane, potatoes, chickpeas, lentils, and pigeon peas, which together occupy about 65% of all global cropland areas. The GHISA spectral libraries were collected and collated using spaceborne, airborne (e.g., aircrafts and drones), and ground based hyperspectral imaging spectroscopy. The GHISA for Central Asia (GHISACASIA) Version 1 product provides dominant crop data (wheat, rice, corn, alfalfa, and cotton) in different growth stages across the Galaba and Kuva farm fields in the Syr Darya river basin in Central Asia. The GHISA hyperspectral library for the two irrigated areas was developed using Earth Observing-1 (EO-1) Hyperion hyperspectral data acquired in 2007 and ASD (Analytical Spectral Devices, Inc.) Spectroradiometer data acquired in 2006 and 2007. GHISACASIA is extracted from three Hyperion hyperspectral images and several thousands of field ASD Spectroradiometer data. Measurements were taken from 1,232 randomly chosen points scattered across the two farm sites throughout the growing season. All the processing algorithms are coded in Statistical Analysis System (SAS) format and available for download. Provided in the .xlsx files are the spectral library including image information, plot IDs, study area, instrument, Julian or acquisition date, and crop type labels for Central Asia sample fields. proprietary
GHISACONUS_001 Global Hyperspectral Imaging Spectral-library of Agricultural crops for Conterminous United States V001 LPCLOUD STAC Catalog 2008-01-01 2015-12-31 -125, 24, -67, 49 https://cmr.earthdata.nasa.gov/search/concepts/C2763264663-LPCLOUD.umm_json The Global Hyperspectral Imaging Spectral-library of Agricultural crops (GHISA) is a comprehensive compilation, collation, harmonization, and standardization of hyperspectral signatures of agricultural crops of the world. This hyperspectral library of agricultural crops is developed for all major world crops and was collected by United States Geological Survey (USGS) and partnering volunteer agencies from around the world. Crops include wheat, rice, barley, corn, soybeans, cotton, sugarcane, potatoes, chickpeas, lentils, and pigeon peas, which together occupy about 65% of all global cropland areas. The GHISA spectral libraries were collected and collated using spaceborne, airborne (e.g., aircrafts and drones), and ground based hyperspectral imaging spectroscopy. The GHISA for the Conterminous United States (GHISACONUS) Version 1 product provides dominant crop data in different growth stages for various agroecological zones (AEZs) of the United States. The GHISA hyperspectral library of the five major agricultural crops (e.g., winter wheat, rice, corn, soybeans, and cotton) for CONUS was developed using Earth Observing-1 (EO-1) Hyperion hyperspectral data acquired from 2008 through 2015 from different AEZs of CONUS using the United States Department of Agriculture (USDA) Cropland Data Layer (CDL) as reference data.. GHISACONUS is comprised of seven AEZs throughout the United States covering the major agricultural crops in six different growth stages: emergence/very early vegetative (Emerge VEarly), early and mid vegetative (Early Mid), late vegetative (Late), critical, maturing/senescence (Mature Senesc), and harvest. The crop growth stage data were derived using crop calendars generated by the Center for Sustainability and the Global Environment (SAGE), University of Wisconsin-Madison. Provided in the CSV file is the spectral library including image information, geographic coordinates, corresponding agroecological zone, crop type labels, and crop growth stage labels for the United States. proprietary
GIMMS3g_NDVI_Trends_1275_1 Long-Term Arctic Growing Season NDVI Trends from GIMMS 3g, 1982-2012 ORNL_CLOUD STAC Catalog 1982-06-01 2012-08-31 -180, 20, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2784897341-ORNL_CLOUD.umm_json This data set provides normalized difference vegetation index (NDVI) data for the arctic growing season derived primarily with data from Advanced Very High Resolution Radiometer (AVHRR) sensors onboard several NOAA satellites over the years 1982 through 2012. The NDVI data, which show vegetation activity, were averaged annually for the arctic growing season (GS; June, July and August). The products include the annual GS-NDVI values and the results of a cumulative GS-NDVI time series trends analysis. The data are circumpolar in coverage at 8-km resolution and limited to greater than 20 degrees N.These normalized difference vegetation index (NDVI) trends were calculated using the third generation data set from the Global Inventory Modeling and Mapping Studies (GIMMS 3g). GIMMS 3g improves on its predecessor (GIMMS g) in three important ways. First, GIMMS 3g integrates data from NOAA-17 and 18 satellites to lengthen its record. Second, it addresses the spatial discontinuity north of 72 degrees N, by using SeaWiFS, in addition to SPOT VGT, to calibrate between the second and third versions of the AVHRR sensor (AVHRR/2 and AVHRR/3). Finally, the GIMMS 3g algorithm incorporates improved snowmelt detection and is calibrated based on data from the shorter, arctic growing season (May-September) rather than the entire year (January-December). proprietary
@@ -6172,34 +6176,34 @@ GISS-CMIP5_1 GISS ModelE2 contributions to the CMIP5 archive NCCS STAC Catalog 0
GIS_EastAngliaClimateMonthly_551_1 Global Monthly Climatology for the Twentieth Century (New et al.) ORNL_CLOUD STAC Catalog 1900-01-01 1998-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2780535151-ORNL_CLOUD.umm_json A 0.5 degree lat/lon data set of monthly surface climate over global land areas, excluding Antarctica. Primary variables are interpolated directly from station time-series: precipitation, mean temperature and diurnal temperature range. proprietary
GLAH01_033 GLAS/ICESat L1A Global Altimetry Data (HDF5) V033 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C1000000400-NSIDC_ECS.umm_json Level-1A altimetry data (GLAH01) include the transmitted and received waveform from the altimeter. Each data granule has an associated browse product. proprietary
GLAH01_033 GLAS/ICESat L1A Global Altimetry Data (HDF5) V033 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153547306-NSIDC_CPRD.umm_json Level-1A altimetry data (GLAH01) include the transmitted and received waveform from the altimeter. Each data granule has an associated browse product. proprietary
-GLAH02_033 GLAS/ICESat L1A Global Atmosphere Data (HDF5) V033 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C189991862-NSIDC_ECS.umm_json GLAH02 Level-1A atmospheric data include the normalized relative backscatter for the 532 nm and 1064 nm channels, and low-level instrument corrections such as laser energy (1064 nm and 532 nm), photon coincidence (532 nm), and detector gain correction (1064 nm). Each data granule has an associated browse product. proprietary
GLAH02_033 GLAS/ICESat L1A Global Atmosphere Data (HDF5) V033 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153547430-NSIDC_CPRD.umm_json GLAH02 Level-1A atmospheric data include the normalized relative backscatter for the 532 nm and 1064 nm channels, and low-level instrument corrections such as laser energy (1064 nm and 532 nm), photon coincidence (532 nm), and detector gain correction (1064 nm). Each data granule has an associated browse product. proprietary
-GLAH03_033 GLAS/ICESat L1A Global Engineering Data (HDF5) V033 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C189991863-NSIDC_ECS.umm_json Level-1A global engineering data (GLAH03) include satellite housekeeping data used to calibrate data values for GLA01 and GLA02. proprietary
+GLAH02_033 GLAS/ICESat L1A Global Atmosphere Data (HDF5) V033 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C189991862-NSIDC_ECS.umm_json GLAH02 Level-1A atmospheric data include the normalized relative backscatter for the 532 nm and 1064 nm channels, and low-level instrument corrections such as laser energy (1064 nm and 532 nm), photon coincidence (532 nm), and detector gain correction (1064 nm). Each data granule has an associated browse product. proprietary
GLAH03_033 GLAS/ICESat L1A Global Engineering Data (HDF5) V033 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153547514-NSIDC_CPRD.umm_json Level-1A global engineering data (GLAH03) include satellite housekeeping data used to calibrate data values for GLA01 and GLA02. proprietary
+GLAH03_033 GLAS/ICESat L1A Global Engineering Data (HDF5) V033 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C189991863-NSIDC_ECS.umm_json Level-1A global engineering data (GLAH03) include satellite housekeeping data used to calibrate data values for GLA01 and GLA02. proprietary
GLAH04_033 GLAS/ICESat L1A Global Laser Pointing Data (HDF5) V033 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C189991864-NSIDC_ECS.umm_json Level-1A global laser pointing data (GLAH04) contain two orbits of attitude data from the spacecraft star tracker, instrument star tracker, gyro, and laser reference system, and other spacecraft attitude data required to calculate precise laser pointing. proprietary
GLAH04_033 GLAS/ICESat L1A Global Laser Pointing Data (HDF5) V033 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153547635-NSIDC_CPRD.umm_json Level-1A global laser pointing data (GLAH04) contain two orbits of attitude data from the spacecraft star tracker, instrument star tracker, gyro, and laser reference system, and other spacecraft attitude data required to calculate precise laser pointing. proprietary
-GLAH05_034 GLAS/ICESat L1B Global Waveform-based Range Corrections Data (HDF5) V034 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C1000000460-NSIDC_ECS.umm_json GLAH05 Level-1B waveform parameterization data include output parameters from the waveform characterization procedure and other parameters required to calculate surface slope and relief characteristics. GLAH05 contains parameterizations of both the transmitted and received pulses and other characteristics from which elevation and footprint-scale roughness and slope are calculated. The received pulse characterization uses two implementations of the retracking algorithms: one tuned for ice sheets, called the standard parameterization, used to calculate surface elevation for ice sheets, oceans, and sea ice; and another for land (the alternative parameterization). Each data granule has an associated browse product. proprietary
GLAH05_034 GLAS/ICESat L1B Global Waveform-based Range Corrections Data (HDF5) V034 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153549166-NSIDC_CPRD.umm_json GLAH05 Level-1B waveform parameterization data include output parameters from the waveform characterization procedure and other parameters required to calculate surface slope and relief characteristics. GLAH05 contains parameterizations of both the transmitted and received pulses and other characteristics from which elevation and footprint-scale roughness and slope are calculated. The received pulse characterization uses two implementations of the retracking algorithms: one tuned for ice sheets, called the standard parameterization, used to calculate surface elevation for ice sheets, oceans, and sea ice; and another for land (the alternative parameterization). Each data granule has an associated browse product. proprietary
-GLAH06_034 GLAS/ICESat L1B Global Elevation Data (HDF5) V034 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C1000000445-NSIDC_ECS.umm_json GLAH06 Level-1B Global Elevation is a product that is analogous to the geodetic data records distributed for radar altimetry missions. It contains elevations previously corrected for tides, atmospheric delays, and surface characteristics within the footprint. Elevation is calculated using the ice sheet parameterization. Additional information allows the user to calculate an elevation based on land, sea ice, or ocean algorithms. Each data granule has an associated browse product. proprietary
+GLAH05_034 GLAS/ICESat L1B Global Waveform-based Range Corrections Data (HDF5) V034 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C1000000460-NSIDC_ECS.umm_json GLAH05 Level-1B waveform parameterization data include output parameters from the waveform characterization procedure and other parameters required to calculate surface slope and relief characteristics. GLAH05 contains parameterizations of both the transmitted and received pulses and other characteristics from which elevation and footprint-scale roughness and slope are calculated. The received pulse characterization uses two implementations of the retracking algorithms: one tuned for ice sheets, called the standard parameterization, used to calculate surface elevation for ice sheets, oceans, and sea ice; and another for land (the alternative parameterization). Each data granule has an associated browse product. proprietary
GLAH06_034 GLAS/ICESat L1B Global Elevation Data (HDF5) V034 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2033638023-NSIDC_CPRD.umm_json GLAH06 Level-1B Global Elevation is a product that is analogous to the geodetic data records distributed for radar altimetry missions. It contains elevations previously corrected for tides, atmospheric delays, and surface characteristics within the footprint. Elevation is calculated using the ice sheet parameterization. Additional information allows the user to calculate an elevation based on land, sea ice, or ocean algorithms. Each data granule has an associated browse product. proprietary
-GLAH07_033 GLAS/ICESat L1B Global Backscatter Data (HDF5) V033 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153549420-NSIDC_CPRD.umm_json GLAH07 Level-1B global backscatter data are provided at full instrument resolution. The product includes full 532 nm (41.1 to -1.0 km) and 1064 nm (20 to -1 km) calibrated attenuated backscatter profiles at 5 times per second, and from 10 to -1 km, at 40 times per second for both channels. Also included are calibration coefficient values and molecular backscatter profiles at once per second. Data granules contain approximately 190 minutes (2 orbits) of data. Each data granule has an associated browse product. proprietary
+GLAH06_034 GLAS/ICESat L1B Global Elevation Data (HDF5) V034 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C1000000445-NSIDC_ECS.umm_json GLAH06 Level-1B Global Elevation is a product that is analogous to the geodetic data records distributed for radar altimetry missions. It contains elevations previously corrected for tides, atmospheric delays, and surface characteristics within the footprint. Elevation is calculated using the ice sheet parameterization. Additional information allows the user to calculate an elevation based on land, sea ice, or ocean algorithms. Each data granule has an associated browse product. proprietary
GLAH07_033 GLAS/ICESat L1B Global Backscatter Data (HDF5) V033 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C189991867-NSIDC_ECS.umm_json GLAH07 Level-1B global backscatter data are provided at full instrument resolution. The product includes full 532 nm (41.1 to -1.0 km) and 1064 nm (20 to -1 km) calibrated attenuated backscatter profiles at 5 times per second, and from 10 to -1 km, at 40 times per second for both channels. Also included are calibration coefficient values and molecular backscatter profiles at once per second. Data granules contain approximately 190 minutes (2 orbits) of data. Each data granule has an associated browse product. proprietary
+GLAH07_033 GLAS/ICESat L1B Global Backscatter Data (HDF5) V033 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153549420-NSIDC_CPRD.umm_json GLAH07 Level-1B global backscatter data are provided at full instrument resolution. The product includes full 532 nm (41.1 to -1.0 km) and 1064 nm (20 to -1 km) calibrated attenuated backscatter profiles at 5 times per second, and from 10 to -1 km, at 40 times per second for both channels. Also included are calibration coefficient values and molecular backscatter profiles at once per second. Data granules contain approximately 190 minutes (2 orbits) of data. Each data granule has an associated browse product. proprietary
GLAH08_033 GLAS/ICESat L2 Global Planetary Boundary Layer and Elevated Aerosol Layer Heights (HDF5) V033 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153549511-NSIDC_CPRD.umm_json GLAH08 Level-2 planetary boundary layer (PBL) and elevated aerosol layer heights data contains PBL heights, ground detection heights, and top and bottom heights of elevated aerosols from -1.5 km to 20.5 km (4 sec sampling rate) and from 20.5 km to 41 km (20 sec sampling rate). Each data granule has an associated browse product. proprietary
GLAH08_033 GLAS/ICESat L2 Global Planetary Boundary Layer and Elevated Aerosol Layer Heights (HDF5) V033 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C1631093696-NSIDC_ECS.umm_json GLAH08 Level-2 planetary boundary layer (PBL) and elevated aerosol layer heights data contains PBL heights, ground detection heights, and top and bottom heights of elevated aerosols from -1.5 km to 20.5 km (4 sec sampling rate) and from 20.5 km to 41 km (20 sec sampling rate). Each data granule has an associated browse product. proprietary
-GLAH09_033 GLAS/ICESat L2 Global Cloud Heights for Multi-layer Clouds (HDF5) V033 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C189991869-NSIDC_ECS.umm_json GLAH09 Level-2 cloud heights for multi-layer clouds contain cloud layer top and bottom height data at sampling rates of 4 sec, 1 sec, 5 Hz, and 40 Hz. Each data granule has an associated browse product. proprietary
GLAH09_033 GLAS/ICESat L2 Global Cloud Heights for Multi-layer Clouds (HDF5) V033 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153549579-NSIDC_CPRD.umm_json GLAH09 Level-2 cloud heights for multi-layer clouds contain cloud layer top and bottom height data at sampling rates of 4 sec, 1 sec, 5 Hz, and 40 Hz. Each data granule has an associated browse product. proprietary
-GLAH10_033 GLAS/ICESat L2 Global Aerosol Vertical Structure Data (HDF5) V033 NSIDC_ECS STAC Catalog 2003-09-25 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C189991870-NSIDC_ECS.umm_json GLAH10 Level-2 aerosol vertical structure data contain the attenuation-corrected cloud and aerosol backscatter and extinction profiles at a 4 sec sampling rate for aerosols and a 1 sec rate for clouds. Each data granule has an associated browse product. proprietary
+GLAH09_033 GLAS/ICESat L2 Global Cloud Heights for Multi-layer Clouds (HDF5) V033 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C189991869-NSIDC_ECS.umm_json GLAH09 Level-2 cloud heights for multi-layer clouds contain cloud layer top and bottom height data at sampling rates of 4 sec, 1 sec, 5 Hz, and 40 Hz. Each data granule has an associated browse product. proprietary
GLAH10_033 GLAS/ICESat L2 Global Aerosol Vertical Structure Data (HDF5) V033 NSIDC_CPRD STAC Catalog 2003-09-25 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153549654-NSIDC_CPRD.umm_json GLAH10 Level-2 aerosol vertical structure data contain the attenuation-corrected cloud and aerosol backscatter and extinction profiles at a 4 sec sampling rate for aerosols and a 1 sec rate for clouds. Each data granule has an associated browse product. proprietary
+GLAH10_033 GLAS/ICESat L2 Global Aerosol Vertical Structure Data (HDF5) V033 NSIDC_ECS STAC Catalog 2003-09-25 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C189991870-NSIDC_ECS.umm_json GLAH10 Level-2 aerosol vertical structure data contain the attenuation-corrected cloud and aerosol backscatter and extinction profiles at a 4 sec sampling rate for aerosols and a 1 sec rate for clouds. Each data granule has an associated browse product. proprietary
GLAH11_033 GLAS/ICESat L2 Global Thin Cloud/Aerosol Optical Depths Data (HDF5) V033 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153549738-NSIDC_CPRD.umm_json GLAH11 Level-2 thin cloud/aerosol optical depths data contain thin cloud and aerosol optical depths. A thin cloud is one that does not completely attenuate the lidar signal return, which generally corresponds to clouds with optical depths less than about 2.0. Each data granule has an associated browse product. proprietary
GLAH11_033 GLAS/ICESat L2 Global Thin Cloud/Aerosol Optical Depths Data (HDF5) V033 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C189991871-NSIDC_ECS.umm_json GLAH11 Level-2 thin cloud/aerosol optical depths data contain thin cloud and aerosol optical depths. A thin cloud is one that does not completely attenuate the lidar signal return, which generally corresponds to clouds with optical depths less than about 2.0. Each data granule has an associated browse product. proprietary
-GLAH12_034 GLAS/ICESat L2 Global Antarctic and Greenland Ice Sheet Altimetry Data (HDF5) V034 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C1000000461-NSIDC_ECS.umm_json GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product. Each data granule has an associated browse product. proprietary
GLAH12_034 GLAS/ICESat L2 Global Antarctic and Greenland Ice Sheet Altimetry Data (HDF5) V034 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153549818-NSIDC_CPRD.umm_json GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product. Each data granule has an associated browse product. proprietary
-GLAH13_034 GLAS/ICESat L2 Sea Ice Altimetry Data (HDF5) V034 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C1000000464-NSIDC_ECS.umm_json GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product. Each data granule has an associated browse product. proprietary
+GLAH12_034 GLAS/ICESat L2 Global Antarctic and Greenland Ice Sheet Altimetry Data (HDF5) V034 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C1000000461-NSIDC_ECS.umm_json GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product. Each data granule has an associated browse product. proprietary
GLAH13_034 GLAS/ICESat L2 Sea Ice Altimetry Data (HDF5) V034 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153549910-NSIDC_CPRD.umm_json GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product. Each data granule has an associated browse product. proprietary
+GLAH13_034 GLAS/ICESat L2 Sea Ice Altimetry Data (HDF5) V034 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C1000000464-NSIDC_ECS.umm_json GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product. Each data granule has an associated browse product. proprietary
GLAH14_034 GLAS/ICESat L2 Global Land Surface Altimetry Data (HDF5) V034 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C1000000443-NSIDC_ECS.umm_json GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product. Each data granule has an associated browse product. proprietary
GLAH14_034 GLAS/ICESat L2 Global Land Surface Altimetry Data (HDF5) V034 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153551318-NSIDC_CPRD.umm_json GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product. Each data granule has an associated browse product. proprietary
-GLAH15_034 GLAS/ICESat L2 Ocean Altimetry Data (HDF5) V034 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C1000000420-NSIDC_ECS.umm_json GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product. Each data granule has an associated browse product. proprietary
GLAH15_034 GLAS/ICESat L2 Ocean Altimetry Data (HDF5) V034 NSIDC_CPRD STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C2153552369-NSIDC_CPRD.umm_json GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product. Each data granule has an associated browse product. proprietary
+GLAH15_034 GLAS/ICESat L2 Ocean Altimetry Data (HDF5) V034 NSIDC_ECS STAC Catalog 2003-02-20 2009-10-11 -180, -86, 180, 86 https://cmr.earthdata.nasa.gov/search/concepts/C1000000420-NSIDC_ECS.umm_json GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product. Each data granule has an associated browse product. proprietary
GLCHMK_001 G-LiHT Canopy Height Model KML V001 LPCLOUD STAC Catalog 2011-06-30 -170, 10, -50, 73 https://cmr.earthdata.nasa.gov/search/concepts/C2763264695-LPCLOUD.umm_json Goddard’s LiDAR, Hyperspectral, and Thermal Imager (G-LiHT(https://gliht.gsfc.nasa.gov/)) mission utilizes a portable, airborne imaging system that aims to simultaneously map the composition, structure, and function of terrestrial ecosystems. G-LiHT primarily focuses on a broad diversity of forest communities and ecoregions in North America, mapping aerial swaths over the Conterminous United States (CONUS), Alaska, Puerto Rico, and Mexico. The purpose of G-LiHT’s Canopy Height Model Keyhole Markup Language (KML) data product (GLCHMK) is to provide LiDAR-derived maximum canopy height and canopy variability information to aid in the study and analysis of biodiversity and climate change. Scientists at NASA’s Goddard Space Flight Center began collecting data over locally-defined areas in 2011 and that the collection will continue to grow as aerial campaigns are flown and processed. GLCHMK data are processed as a Google Earth overlay KML file at a nominal 1 meter spatial resolution over locally-defined areas. A low resolution browse is also provided showing the canopy height with a color map applied in JPEG format. proprietary
GLCHMT_001 G-LiHT Canopy Height Model V001 LPCLOUD STAC Catalog 2011-06-30 -170, 10, -50, 73 https://cmr.earthdata.nasa.gov/search/concepts/C2763264702-LPCLOUD.umm_json Goddard’s LiDAR, Hyperspectral, and Thermal Imager (G-LiHT(https://gliht.gsfc.nasa.gov/)) mission utilizes a portable, airborne imaging system that aims to simultaneously map the composition, structure, and function of terrestrial ecosystems. G-LiHT primarily focuses on a broad diversity of forest communities and ecoregions in North America, mapping aerial swaths over the Conterminous United States (CONUS), Alaska, Puerto Rico, and Mexico. The purpose of G-LiHT’s Canopy Height Model data product (GLCHMT) is to provide LiDAR-derived maximum canopy height and canopy variability information to aid in the study and analysis of biodiversity and climate change. Scientists at NASA’s Goddard Space Flight Center began collecting data over locally-defined areas in 2011 and that the collection will continue to grow as aerial campaigns are flown and processed. GLCHMT data are processed as a raster data product (GeoTIFF) at a nominal 1 meter spatial resolution over locally-defined areas. A low resolution browse is also provided showing the canopy height with a color map applied in JPEG format. proprietary
GLDAS_CLM10SUBP_3H_001 GLDAS CLM Land Surface Model L4 3 hourly 1.0 x 1.0 degree Subsetted V001 (GLDAS_CLM10SUBP_3H) at GES DISC GES_DISC STAC Catalog 1979-01-02 2020-03-31 -180, -60, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1279404074-GES_DISC.umm_json With the upgraded Land Surface Models (LSMs) and updated forcing data sets, the GLDAS version 2.1 (GLDAS-2.1) production stream serves as a replacement for GLDAS-001. The entire GLDAS-001 collection from January 1979 through March 2020 was decommissioned on June 30, 2020 and removed from the GES DISC system. However, the replacement for GLDAS-001 monthly and 3-hourly 1.0 x 1.0 degree products from CLM Land Surface Model currently are not available yet. Once their replacement data products become available, the DOIs of GLDAS-001 CLM data products will direct to the GLDAS-2.1 CLM data products. This data set contains a series of land surface parameters simulated from the Common Land Model (CLM) V2.0 model in the Global Land Data Assimilation System (GLDAS). The data are in 1.0 degree resolution and range from January 1979 to present. The temporal resolution is 3-hourly. This simulation was forced by a combination of NOAA/GDAS atmospheric analysis fields, spatially and temporally disaggregated NOAA Climate Prediction Center Merged Analysis of Precipitation (CMAP) fields, and observation based downward shortwave and longwave radiation fields derived using the method of the Air Force Weather Agency's AGRicultural METeorological modeling system (AGRMET). The simulation was initialized on 1 January 1979 using soil moisture and other state fields from a GLDAS/CLM model climatology for that day of the year. WGRIB or another GRIB reader is required to read the files. The data set applies a user-defined parameter table to indicate the contents and parameter number. The GRIBTAB file shows a list of parameters for this data set, along with their Product Definition Section (PDS) IDs and units. For more information, please see the README document. proprietary
@@ -6271,12 +6275,12 @@ GO-BGC_0 Global Ocean Biogeochemistry Array OB_DAAC STAC Catalog 2021-03-24 -18
GO-SHIP_0 Global Ocean Ship-based Hydrographic Investigations Program (GO-SHIP) OB_DAAC STAC Catalog 2016-11-19 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360348-OB_DAAC.umm_json Measurements from the GO-SHIP (Global Ocean Ship-based Hydrographic Investigations Program) project, which is a network of sustained hydrographic sections, supporting physical oceanography, the carbon cycle, and marine biogeochemistry and ecosystems. proprietary
GOA97_0 Gulf of Alaska measurements in 1997 OB_DAAC STAC Catalog 1997-10-10 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360262-OB_DAAC.umm_json Measurements taken in the Gulf of Alaska during 1997. proprietary
GOCAL_0 Gulf of California long-term sampling program OB_DAAC STAC Catalog 1995-11-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360264-OB_DAAC.umm_json GOCAL was an internationally coordinated long-term sampling program in the Gulf of California, designed to examine the temporal and spatial variability in the biogeochemical properties of the region. This program includes Drs. S. Alvarez Borrego, R. Lara Lara, G. Gaxiola and H. Maske from the Centro de Investigacion Cientifica y de Educacion Secondaria de Ensenada (CICESE), Ensenada, Mexico, Dr. E. Valdez from the University of Sonora, Hermosillo, Mexico, Drs. J Mueller and C. Trees of San Diego State University, San Diego, CA, Dr. Ron Zaneveld, Dr. Scott Pegau, and Andrew Barnard, Oregon State University, Corvallis, OR. Components of this program were funded by the NASA SIMBIOS initiative proprietary
-GOCE_Global_Gravity_Field_Models_and_Grids_NA GOCE Global Gravity Field Models and Grids ESA STAC Catalog 2009-09-01 2012-07-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336903-ESA.umm_json This collection contains gravity gradient and gravity anomalies grids at ground level, at satellite height. In addition it contains the GOCE gravity field models (EGM_GOC_2,EGM_GCF_2) and their covariance matrices (EGM_GVC_2): Gridded Gravity gradients and anomalies at ground level: GO_CONS_GRC_SPW_2__20091101T000000_20111231T235959_0001.TGZ GO_CONS_GRC_SPW_2__20091101T055147_20120731T222822_0001.TGZ GO_CONS_GRC_SPW_2__20091101T055226_20131020T033415_0002.TGZ GO_CONS_GRC_SPW_2__20091009T000000_20131021T000000_0201.TGZ Latest baseline is: GO_CONS_GRC_SPW_2__20091009T000000_20131021T000000_0201.TGZ Gridded Gravity gradients and anomalies at satellite height: GO_CONS_GRD_SPW_2__20091101T055147_20100630T180254_0001.TGZ GO_CONS_GRD_SPW_2__20091101T055147_20120731T222822_0001.TGZ GO_CONS_GRD_SPW_2__20091101T055226_20131020T033415_0002.TGZ GO_CONS_GRD_SPW_2__20091009T000000_20131021T000000_0201.TGZ Latest baseline is: GO_CONS_GRD_SPW_2__20091009T000000_20131021T000000_0201.TGZ As output from the ESA-funded GOCE+ GeoExplore project, GOCE gravity gradients were combined with heterogeneous other satellite gravity information to derive a combined set of gravity gradients complementing (near)-surface data sets spanning all together scales from global down to 5 km. The data is useful for various geophysical applications and demonstrate their utility to complement additional data sources (e.g., magnetic, seismic) to enhance geophysical modelling and exploration. The GOCE+ GeoExplore project is funded by ESA through the Support To Science Element (STSE) and was undertaken as a collaboration of the Deutsches Geodätisches Forschungsinstitut (DGFI), Munich, DE, the Christian-Albrechts-Universität zu Kiel, the Geological Survey of Norway (NGU), Trondheim, Norway, TNO, the Netherlands and the University of West Bohemia, Plzen, CZ. Read more about gravity gradients and how GOCE delivered them in this Nature article: Satellite gravity gradient grids for geophysics (https://www.nature.com/articles/srep21050) View images of the GOCE original gravity gradients and gradients with topographic reduction grids (https://earth.esa.int/eogateway/missions/goce/data/goce-gravity-gradients-grids-map). Available Data GRIDS File Type: GGG_225 Gridded data - full Gravity Gradients, at 225 km and 255 km with and without topographic correction: Computed from GOCE/GRACE gradients lower orbit phase February 2010 - October 2013 File Type: GGG_255 Gridded data - full Gravity Gradients, at 225 km and 255 km with and without topographic correction: Computed from GOCE/GRACE gradients nominal orbit phase February 2010 - October 2013 File Type: TGG_255 Gridded data - full Gravity Gradients, at 225 km and 255 km with and without topographic correction: Gravity gradient grids from topography at fixed height of 225/255 km above ellipsoid given in LNOF (Local North Oriented Frame) File Type: TGG_225 Gridded data - full Gravity Gradients, at 225 km and 255 km with and without topographic correction: File Type: TGG_225 Gridded data - full Gravity Gradients, at 225 km and 255 km with and without topographic correction: Gravity gradient grids from topography at fixed height of 225/255 km above ellipsoid given in LNOF (Local North Oriented Frame) MAPS File Type: Vij_225km_Patch_n.jpg Maps of Gravity Gradients with and without topographic corrections: Maps of grids from lower orbit phase with topographic correction from ETOPO1 File Type: Vij_225km_Patch_n.jpg Maps of Gravity Gradients with and without topographic corrections: Maps of the original grids from lower orbit phase without topographic correction ALONG-ORBIT File Type: GGC_GRF Full Gravity Gradients, along-orbit, in GRF and TRF reference frames. A detailed description is provided in the data set user manual: Combined gradients from GRACE (long wavelengths) & GOCE (measurement band) in the GRF (Gradiometer Reference Frame) File Type: GGC_TRF Full Gravity Gradients, along-orbit, in GRF and TRF reference frames. A detailed description is provided in the data set user manual: Combined gradients from GRACE (long wavelengths) & GOCE (measurement band) rotated from GRF to TRF (Terrestrial Reference Frame: North, West, Up) Direct Solution First Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20100110T235959_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20100110T235959_0002.TGZ Second Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20100630T235959_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20100630T235959_0001.TGZ Third Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20110419T235959_0001.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20110419T235959_0001.TGZ Coefficients (ICGEM format): GO_CONS_EGM_GCF_2__20091101T000000_20110419T235959_0001.IDF (http://icgem.gfz-potsdam.de/tom_longtime) Fourth Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20120801T060000_0001.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20120801T060000_0002.TGZ Fifth Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20131020T235959_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20131020T235959_0001.TGZ Coefficients (ICGEM format): GO_CONS_EGM_GOC_2__20091101T000000_20131020T235959_0001.IDF (http://icgem.gfz-potsdam.de/tom_longtime) Sixth Generation Product: GO_CONS_EGM_GOC_2__20091009T000000_20131020T235959_0201.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091009T000000_20131020T235959_0201.TGZ Coefficients (ICGEM format): GO_CONS_EGM_GOC_2__20091009T000000_20131020T235959_0201.IDF (http://icgem.gfz-potsdam.de/tom_longtime) Release 6 gravity model validation report (https://earth.esa.int/eogateway/documents/20142/37627/Release-6-gravity-model-validation-report-GO-TN-HPF-GS-0337-1.0.pdf) GO-TN-HPF-GS-0337_1.0 - Rel6_Validation_Report.pdf Time-Wise solution First Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20100111T000000_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20100111T000000_0002.TGZ Second Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20100705T235500_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20100705T235500_0001.TGZ Third Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20110430T235959_0001.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20110430T235959_0001.TGZ Coefficients (ICGEM format): GO_CONS_EGM_GCF_2__20091101T000000_20110430T235959_0001.IDF (http://icgem.gfz-potsdam.de/tom_longtime) Fourth Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20120618T235959_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20120618T235959_0001.TGZ Fifth Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20131021T000000_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20131021T000000_0001.TGZ Coefficients (ICGEM format): GO_CONS_EGM_GOC_2__20091101T000000_20131021T000000_0001.IDF (http://icgem.gfz-potsdam.de/tom_longtime) Sixth Generation Product: GO_CONS_EGM_GOC_2__20091009T000000_20131021T000000_0201.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091009T000000_20131021T000000_0202.TGZ Coefficients (ICGEM format): GO_CONS_EGM_GOC_2__20091009T000000_20131021T000000_0201.IDF (http://icgem.gfz-potsdam.de/tom_longtime) Combined gravity field GOCE model plus Antarctic and Arctic data (ICGEM format): GO_CONS_EGM_GOC_2__20091009T000000_20160119T235959_0201.IDF (http://icgem.gfz-potsdam.de/tom_longtime) Release 6 gravity model validation report (https://earth.esa.int/eogateway/documents/20142/37627/Release-6-gravity-model-validation-report-GO-TN-HPF-GS-0337-1.0.pdf) GO-TN-HPF-GS-0337_1.0 - Rel6_Validation_Report.pdf proprietary
-GOCE_Level_1_NA GOCE Level 1 ESA STAC Catalog 2009-09-01 2012-07-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336905-ESA.umm_json This collection contains the GOCE L1b data of the gradiometer, the star trackers, the GPS receiver, the magnetometers, magnetotorquers and the DFACS data of each accelerometer of the gradiometer. EGG_NOM_1b: latest baseline _0202 SST_NOM_1b: latest baseline _000x (always take the highest number available) ACC_DFx_1b: latest baseline _0001 (x=1:6) MGM_GOx_1b: latest baseline _0001 (x=1:3) MTR_GOC_1b: latest baseline _0001 SST_RIN_1b: latest baseline _000x (always take the highest number available) STR_VC2_1b: latest baseline _000x (always take the highest number available) STR_VC3_1b:latest baseline _000x (always take the highest number available) proprietary
-GOCE_Level_2_NA GOCE Level 2 ESA STAC Catalog 2009-09-01 2012-07-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336906-ESA.umm_json This collection contains GOCE level 2 data: Gravity Gradients in the gradiometer reference frame (EGG_NOM_2), in the terrestrial reference frame (EGG_TRF_2), GPS receiver derived precise science orbits (SST_PSO_2) and the non-tidal time variable gravity field potential with respect to a mean value in terms of a spherical harmonic series determined from atmospheric and oceanic mass variations as well as from a GRACE monthly gravity field time series (SST_AUX_2). EGG_NOM_2_: latest baseline: _0203 EGG_TRF_2_: latest baseline _0101 SST_AUX_2_: latest baseline _0001 SST_PSO_2_: latest baseline _0201 proprietary
-GOCE_TEC_and_ROTI_NA GOCE TEC and ROTI ESA STAC Catalog 2009-09-01 2012-07-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336907-ESA.umm_json GOCE total electron content (TEC) and rate of TEC index (ROTI) data. proprietary
-GOCE_Telemetry_NA GOCE Telemetry ESA STAC Catalog 2009-09-01 2012-07-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336908-ESA.umm_json This collection contains all GOCE platform and instruments telemetry. For details see http://eo-virtual-archive1.esa.int/products/GOCE_BACKUP/MUST_TLM/GOCE_TLM_packets_description.xlsx. proprietary
-GOCE_Thermosphere_Data_NA GOCE Thermosphere Data ESA STAC Catalog 2009-09-01 2012-07-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336909-ESA.umm_json Thermospheric density and crosswind data products derived from GOCE data. latest baseline _0200 The GOCE+ Air Density and Wind Retrieval using GOCE Data project produced a dataset of thermospheric density and crosswind data products which were derived from ion thruster activation data from GOCE telemetry. The data was combined with the mission's accelerometer and star camera data products. The products provide data continuity and extend the accelerometer-derived thermosphere density data sets from the CHAMP and GRACE missions. The resulting density and wind observations are made available in the form of time series and grids. These data can be applied in investigations of solar-terrestrial physics, as well as for the improvement and validation of models used in space operations. Funded by ESA through the Support To Science Element (STSE) of ESA's Earth Observation Envelope Programme, supporting the science applications of ESA's Living Planet programme, the project was a partnership between TU Delft, CNES and Hypersonic Technology Göttingen. Dataset History Date: 18/04/2019 Change: - Time series data v2.0, covering the whole mission - Updated data set user manual - New satellite geometry and aerodynamic model (http://thermosphere.tudelft.nl/) - New vertical wind field - New data for the deorbit phase, (GPS+ACC and GPS-only versions) Reason: Updated satellite models and additional data Date: 14/07/2016 Change: - Time series data v1.5, covering the whole mission - Updated data set user manual Reason: Removal of noisy data Date: 31/07/2014 Change: - Time series data v1.4, covering the whole mission - Gridded data, now including error estimates - Updated data set user manual - Updated validation report; Updated ATBD Reason: Full GOCE dataset available Date: 28/09/2013 Change: - Version 1.3 density/winds timeseries and gridded data released - User manual updated to v1.3 Reason: Bug fix and other changes Date: 04/09/2013 - Version 1.2 density/winds timeseries and gridded data released, with user manual Reason: First public data release of thermospheric density/winds data proprietary
+GOCE_Global_Gravity_Field_Models_and_Grids_6.0 GOCE Global Gravity Field Models and Grids ESA STAC Catalog 2009-09-01 2012-07-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336903-ESA.umm_json This collection contains gravity gradient and gravity anomalies grids at ground level, at satellite height. In addition it contains the GOCE gravity field models (EGM_GOC_2,EGM_GCF_2) and their covariance matrices (EGM_GVC_2): Gridded Gravity gradients and anomalies at ground level: GO_CONS_GRC_SPW_2__20091101T000000_20111231T235959_0001.TGZ GO_CONS_GRC_SPW_2__20091101T055147_20120731T222822_0001.TGZ GO_CONS_GRC_SPW_2__20091101T055226_20131020T033415_0002.TGZ GO_CONS_GRC_SPW_2__20091009T000000_20131021T000000_0201.TGZ Latest baseline is: GO_CONS_GRC_SPW_2__20091009T000000_20131021T000000_0201.TGZ Gridded Gravity gradients and anomalies at satellite height: GO_CONS_GRD_SPW_2__20091101T055147_20100630T180254_0001.TGZ GO_CONS_GRD_SPW_2__20091101T055147_20120731T222822_0001.TGZ GO_CONS_GRD_SPW_2__20091101T055226_20131020T033415_0002.TGZ GO_CONS_GRD_SPW_2__20091009T000000_20131021T000000_0201.TGZ Latest baseline is: GO_CONS_GRD_SPW_2__20091009T000000_20131021T000000_0201.TGZ As output from the ESA-funded GOCE+ GeoExplore project, GOCE gravity gradients were combined with heterogeneous other satellite gravity information to derive a combined set of gravity gradients complementing (near)-surface data sets spanning all together scales from global down to 5 km. The data is useful for various geophysical applications and demonstrate their utility to complement additional data sources (e.g., magnetic, seismic) to enhance geophysical modelling and exploration. The GOCE+ GeoExplore project is funded by ESA through the Support To Science Element (STSE) and was undertaken as a collaboration of the Deutsches Geodätisches Forschungsinstitut (DGFI), Munich, DE, the Christian-Albrechts-Universität zu Kiel, the Geological Survey of Norway (NGU), Trondheim, Norway, TNO, the Netherlands and the University of West Bohemia, Plzen, CZ. Read more about gravity gradients and how GOCE delivered them in this Nature article: Satellite gravity gradient grids for geophysics (https://www.nature.com/articles/srep21050) View images of the GOCE original gravity gradients and gradients with topographic reduction grids (https://earth.esa.int/eogateway/missions/goce/data/goce-gravity-gradients-grids-map). Available Data GRIDS File Type: GGG_225 Gridded data - full Gravity Gradients, at 225 km and 255 km with and without topographic correction: Computed from GOCE/GRACE gradients lower orbit phase February 2010 - October 2013 File Type: GGG_255 Gridded data - full Gravity Gradients, at 225 km and 255 km with and without topographic correction: Computed from GOCE/GRACE gradients nominal orbit phase February 2010 - October 2013 File Type: TGG_255 Gridded data - full Gravity Gradients, at 225 km and 255 km with and without topographic correction: Gravity gradient grids from topography at fixed height of 225/255 km above ellipsoid given in LNOF (Local North Oriented Frame) File Type: TGG_225 Gridded data - full Gravity Gradients, at 225 km and 255 km with and without topographic correction: File Type: TGG_225 Gridded data - full Gravity Gradients, at 225 km and 255 km with and without topographic correction: Gravity gradient grids from topography at fixed height of 225/255 km above ellipsoid given in LNOF (Local North Oriented Frame) MAPS File Type: Vij_225km_Patch_n.jpg Maps of Gravity Gradients with and without topographic corrections: Maps of grids from lower orbit phase with topographic correction from ETOPO1 File Type: Vij_225km_Patch_n.jpg Maps of Gravity Gradients with and without topographic corrections: Maps of the original grids from lower orbit phase without topographic correction ALONG-ORBIT File Type: GGC_GRF Full Gravity Gradients, along-orbit, in GRF and TRF reference frames. A detailed description is provided in the data set user manual: Combined gradients from GRACE (long wavelengths) & GOCE (measurement band) in the GRF (Gradiometer Reference Frame) File Type: GGC_TRF Full Gravity Gradients, along-orbit, in GRF and TRF reference frames. A detailed description is provided in the data set user manual: Combined gradients from GRACE (long wavelengths) & GOCE (measurement band) rotated from GRF to TRF (Terrestrial Reference Frame: North, West, Up) Direct Solution First Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20100110T235959_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20100110T235959_0002.TGZ Second Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20100630T235959_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20100630T235959_0001.TGZ Third Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20110419T235959_0001.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20110419T235959_0001.TGZ Coefficients (ICGEM format): GO_CONS_EGM_GCF_2__20091101T000000_20110419T235959_0001.IDF (http://icgem.gfz-potsdam.de/tom_longtime) Fourth Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20120801T060000_0001.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20120801T060000_0002.TGZ Fifth Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20131020T235959_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20131020T235959_0001.TGZ Coefficients (ICGEM format): GO_CONS_EGM_GOC_2__20091101T000000_20131020T235959_0001.IDF (http://icgem.gfz-potsdam.de/tom_longtime) Sixth Generation Product: GO_CONS_EGM_GOC_2__20091009T000000_20131020T235959_0201.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091009T000000_20131020T235959_0201.TGZ Coefficients (ICGEM format): GO_CONS_EGM_GOC_2__20091009T000000_20131020T235959_0201.IDF (http://icgem.gfz-potsdam.de/tom_longtime) Release 6 gravity model validation report (https://earth.esa.int/eogateway/documents/20142/37627/Release-6-gravity-model-validation-report-GO-TN-HPF-GS-0337-1.0.pdf) GO-TN-HPF-GS-0337_1.0 - Rel6_Validation_Report.pdf Time-Wise solution First Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20100111T000000_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20100111T000000_0002.TGZ Second Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20100705T235500_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20100705T235500_0001.TGZ Third Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20110430T235959_0001.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20110430T235959_0001.TGZ Coefficients (ICGEM format): GO_CONS_EGM_GCF_2__20091101T000000_20110430T235959_0001.IDF (http://icgem.gfz-potsdam.de/tom_longtime) Fourth Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20120618T235959_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20120618T235959_0001.TGZ Fifth Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20131021T000000_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20131021T000000_0001.TGZ Coefficients (ICGEM format): GO_CONS_EGM_GOC_2__20091101T000000_20131021T000000_0001.IDF (http://icgem.gfz-potsdam.de/tom_longtime) Sixth Generation Product: GO_CONS_EGM_GOC_2__20091009T000000_20131021T000000_0201.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091009T000000_20131021T000000_0202.TGZ Coefficients (ICGEM format): GO_CONS_EGM_GOC_2__20091009T000000_20131021T000000_0201.IDF (http://icgem.gfz-potsdam.de/tom_longtime) Combined gravity field GOCE model plus Antarctic and Arctic data (ICGEM format): GO_CONS_EGM_GOC_2__20091009T000000_20160119T235959_0201.IDF (http://icgem.gfz-potsdam.de/tom_longtime) Release 6 gravity model validation report (https://earth.esa.int/eogateway/documents/20142/37627/Release-6-gravity-model-validation-report-GO-TN-HPF-GS-0337-1.0.pdf) GO-TN-HPF-GS-0337_1.0 - Rel6_Validation_Report.pdf proprietary
+GOCE_Level_1_6.0 GOCE Level 1 ESA STAC Catalog 2009-09-01 2012-07-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336905-ESA.umm_json This collection contains the GOCE L1b data of the gradiometer, the star trackers, the GPS receiver, the magnetometers, magnetotorquers and the DFACS data of each accelerometer of the gradiometer. EGG_NOM_1b: latest baseline _0202 SST_NOM_1b: latest baseline _000x (always take the highest number available) ACC_DFx_1b: latest baseline _0001 (x=1:6) MGM_GOx_1b: latest baseline _0001 (x=1:3) MTR_GOC_1b: latest baseline _0001 SST_RIN_1b: latest baseline _000x (always take the highest number available) STR_VC2_1b: latest baseline _000x (always take the highest number available) STR_VC3_1b:latest baseline _000x (always take the highest number available) proprietary
+GOCE_Level_2_6.0 GOCE Level 2 ESA STAC Catalog 2009-09-01 2012-07-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336906-ESA.umm_json This collection contains GOCE level 2 data: Gravity Gradients in the gradiometer reference frame (EGG_NOM_2), in the terrestrial reference frame (EGG_TRF_2), GPS receiver derived precise science orbits (SST_PSO_2) and the non-tidal time variable gravity field potential with respect to a mean value in terms of a spherical harmonic series determined from atmospheric and oceanic mass variations as well as from a GRACE monthly gravity field time series (SST_AUX_2). EGG_NOM_2_: latest baseline: _0203 EGG_TRF_2_: latest baseline _0101 SST_AUX_2_: latest baseline _0001 SST_PSO_2_: latest baseline _0201 proprietary
+GOCE_TEC_and_ROTI_6.0 GOCE TEC and ROTI ESA STAC Catalog 2009-09-01 2012-07-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336907-ESA.umm_json GOCE total electron content (TEC) and rate of TEC index (ROTI) data. proprietary
+GOCE_Telemetry_6.0 GOCE Telemetry ESA STAC Catalog 2009-09-01 2012-07-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336908-ESA.umm_json This collection contains all GOCE platform and instruments telemetry. For details see http://eo-virtual-archive1.esa.int/products/GOCE_BACKUP/MUST_TLM/GOCE_TLM_packets_description.xlsx. proprietary
+GOCE_Thermosphere_Data_6.0 GOCE Thermosphere Data ESA STAC Catalog 2009-09-01 2012-07-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336909-ESA.umm_json Thermospheric density and crosswind data products derived from GOCE data. latest baseline _0200 The GOCE+ Air Density and Wind Retrieval using GOCE Data project produced a dataset of thermospheric density and crosswind data products which were derived from ion thruster activation data from GOCE telemetry. The data was combined with the mission's accelerometer and star camera data products. The products provide data continuity and extend the accelerometer-derived thermosphere density data sets from the CHAMP and GRACE missions. The resulting density and wind observations are made available in the form of time series and grids. These data can be applied in investigations of solar-terrestrial physics, as well as for the improvement and validation of models used in space operations. Funded by ESA through the Support To Science Element (STSE) of ESA's Earth Observation Envelope Programme, supporting the science applications of ESA's Living Planet programme, the project was a partnership between TU Delft, CNES and Hypersonic Technology Göttingen. Dataset History Date: 18/04/2019 Change: - Time series data v2.0, covering the whole mission - Updated data set user manual - New satellite geometry and aerodynamic model (http://thermosphere.tudelft.nl/) - New vertical wind field - New data for the deorbit phase, (GPS+ACC and GPS-only versions) Reason: Updated satellite models and additional data Date: 14/07/2016 Change: - Time series data v1.5, covering the whole mission - Updated data set user manual Reason: Removal of noisy data Date: 31/07/2014 Change: - Time series data v1.4, covering the whole mission - Gridded data, now including error estimates - Updated data set user manual - Updated validation report; Updated ATBD Reason: Full GOCE dataset available Date: 28/09/2013 Change: - Version 1.3 density/winds timeseries and gridded data released - User manual updated to v1.3 Reason: Bug fix and other changes Date: 04/09/2013 - Version 1.2 density/winds timeseries and gridded data released, with user manual Reason: First public data release of thermospheric density/winds data proprietary
GOCI_2013_0 East China Sea validation measurements for GOCI instrument OB_DAAC STAC Catalog 2013-09-27 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360265-OB_DAAC.umm_json Measurements made in the East China Sea in 2013 to validate the South Korean GOCI instrument. proprietary
GOCI_L1_1 COMS Geostationary Ocean Color Imager (GOCI) Data Regional Data OB_DAAC STAC Catalog 2010-06-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1240264612-OB_DAAC.umm_json The Geostationary Ocean Color Imager (GOCI) is one of the three payloads onboard the Communication,Ocean and Meteorological Satellite (COMS). It acquires data in 8 spectral bands (6 visible, 2 NIR) witha spatial resolution of about 500m over the Korean sea. The ocean data products that can be derivedfrom the measurements are mainly the chlorophyll concentration, the optical diffuse attenuationcoefficients, the concentration of dissolved organic material or yellow substance, and the concentrationof suspended particles in the near-surface zone of the sea. In operational oceanography, satellite deriveddata products are used in conjunction with numerical models and in situ measurements to provide forecastingand now casting of the ocean state. Such information is of genuine interest for many categories of users. proprietary
GOCI_L2_OC_2014 COMS Geostationary Ocean Color Imager (GOCI) Ocean Color (OC) Regional Data OB_DAAC STAC Catalog 2010-06-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1240264615-OB_DAAC.umm_json The Geostationary Ocean Color Imager (GOCI) is one of the three payloads onboard the Communication,Ocean and Meteorological Satellite (COMS). It acquires data in 8 spectral bands (6 visible, 2 NIR) witha spatial resolution of about 500m over the Korean sea. The ocean data products that can be derivedfrom the measurements are mainly the chlorophyll concentration, the optical diffuse attenuationcoefficients, the concentration of dissolved organic material or yellow substance, and the concentrationof suspended particles in the near-surface zone of the sea. In operational oceanography, satellite deriveddata products are used in conjunction with numerical models and in situ measurements to provide forecastingand now casting of the ocean state. Such information is of genuine interest for many categories of users. proprietary
@@ -6288,7 +6292,7 @@ GOES16-L2-CMI-1_NA GOES-16 Cloud & Moisture Imagery INPE STAC Catalog 2024-04-07
GOES16-SST-OSISAF-L3C-v1.0_1.0 GHRSST L3C hourly America Region sub-skin Sea Surface Temperature v1.0 from ABI on GOES16 produced by OSISAF POCLOUD STAC Catalog 2017-12-14 -135, -60, -15, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2036877806-POCLOUD.umm_json The data is regional and part of the Group for High Resolution Sea Surface Temperature (GHRSST) Level 3 Collated (L3C) dataset covering the America Region based on retrievals from the Advanced Baseline Imager (ABI) on board the Geostationary Operational Environmental Satellite-16 (GOES-16). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near real time from GOES-16 in the Eastern position. GOES-16 Imager level 1 data are acquired at Météo-France/Centre de Météorologie Spatiale (CMS) through the EUMETSAT/EUMETCast system. The GOES-16 ABI enables daytime SST calculations (whereas, previously, GOES East SST was restricted to nighttime conditions). The L3C SST is derived from a three-band (centered at 8.4, 10.3, and 12.3 um) algorithm. The ABI split-window configuration features three bands instead of the two found in heritage sensors (GOES-13). The 8.5-um is used in conjunction with the 10.3-um and 12.3-um bands for improved thin cirrus detection as well as for better atmospheric moisture correction in relatively dry atmospheres. Atmospheric profiles of water vapor and temperature from a numerical weather prediction model, together with a radiative transfer model, are used to correct the multispectral algorithm for regional and seasonal biases due to changing atmospheric conditions. Each 10-minute observation interval is processed at full satellite resolution. The operational products are then produced by remapping over a 0.05-degree regular grid (60S-60N and 135W-15W) SST fields obtained by aggregating the available10-minute SST data into hourly files-hour time, with priority being given to the value closest in time to the product nominal hour. The product format is compliant with the GHRSST Data Specification (GDS) version 2. proprietary
GOMECC_0 Gulf of Mexico and East Coast Carbon Cruise (GOMECC) OB_DAAC STAC Catalog 2007-07-11 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360268-OB_DAAC.umm_json The Gulf of Mexico and East Coast Carbon Cruise (GOMECC) proprietary
GOMEX_0 Gulf of Mexico measurements in 1993 OB_DAAC STAC Catalog 1993-04-10 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360269-OB_DAAC.umm_json Measurements from the Gulf of Mexico along the Florida and Louisiana coasts in 1993. proprietary
-GOME_Evl_ClimateProd_TCWV_NA GOME Total Column Water Vapour Climate product ESA STAC Catalog 1995-07-01 2015-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336910-ESA.umm_json The GOME Total Column Water Vapour (TCWV) Climate product was generated by the Max Planck Institute for Chemistry (MPIC), and the German Aerospace Center (DLR) within the ESA GOME-Evolution project. It is a Level 3 type product containing homogenized time-series of the global distribution of TCWV spanning over more than two decades (1995-2015). The data is provided as single netCDF file, containing monthly mean TCWV (units kg/m2) with 1-degree resolution, and is based on measurements from the satellite instruments ERS-2 GOME, Envisat SCIAMACHY, and MetOp-A GOME-2. Details are available in the paper by Beirle et al, 2018,. Please also consult the GOME TCWV Product Quality Readme file before using the data. (https://earth.esa.int/eogateway/documents/20142/37627/GOME-TCWV-Product-sQuality-Readme-File.pdf) proprietary
+GOME_Evl_ClimateProd_TCWV_4.0 GOME Total Column Water Vapour Climate product ESA STAC Catalog 1995-07-01 2015-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336910-ESA.umm_json The GOME Total Column Water Vapour (TCWV) Climate product was generated by the Max Planck Institute for Chemistry (MPIC), and the German Aerospace Center (DLR) within the ESA GOME-Evolution project. It is a Level 3 type product containing homogenized time-series of the global distribution of TCWV spanning over more than two decades (1995-2015). The data is provided as single netCDF file, containing monthly mean TCWV (units kg/m2) with 1-degree resolution, and is based on measurements from the satellite instruments ERS-2 GOME, Envisat SCIAMACHY, and MetOp-A GOME-2. Details are available in the paper by Beirle et al, 2018,. Please also consult the GOME TCWV Product Quality Readme file before using the data. (https://earth.esa.int/eogateway/documents/20142/37627/GOME-TCWV-Product-sQuality-Readme-File.pdf) proprietary
GOME_MINDS_NO2_1.1 GOME/ERS-2 NO2 Tropospheric, Stratospheric and Total Columns MINDS 1-Orbit L2 Swath 40 km x 320 km V1.1 (GOME_MINDS_NO2) at GES DISC GES_DISC STAC Catalog 1995-06-30 2003-06-22 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2539362687-GES_DISC.umm_json As part of the NASA's Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, this project entitled “Multi-Decadal Nitrogen Dioxide and Derived Products from Satellites (MINDS)” will develop consistent long-term global trend-quality data records spanning the last two decades, over which remarkable changes in nitrogen oxides (NOx) emissions have occurred. The objective of the project Is to adapt Ozone Monitoring Instrument (OMI) operational algorithms to other satellite instruments and create consistent multi-satellite L2 and L3 nitrogen dioxide (NO2) columns and value-added L4 surface NO2 concentrations and NOx emissions data products, systematically accounting for instrumental differences. The instruments include Global Ozone Monitoring Experiment (GOME, 1996-2003), SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY, 2002-2012), OMI (2004-present), GOME-2 (2007-present), and TROPOspheric Monitoring Instrument (TROPOMI, 2018-present). The quality assured L2-L4 products will be made available to the scientific community via the NASA GES DISC website in Climate and Forecast (CF)-compliant Hierarchical Data Format (HDF5) and netCDF formats. proprietary
GOMI2AE_002 MISR Level 2 TOA/Cloud Aerosol Product subset for the GoMACCS region V002 LARC STAC Catalog 2006-07-30 2006-10-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1625796321-LARC.umm_json Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 TOA/Cloud Aerosol Product subset for the GoMACCS region V002 contains Aerosol optical depth and particle type, with associated atmospheric data. proprietary
GOMI2LS_002 MISR Level 2 Land Surface Product subset for the GoMACCS region V002 LARC STAC Catalog 2006-07-30 2006-10-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1625799033-LARC.umm_json Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Level 2 Land Surface Product subset for the GoMACCS region V002 contains information on land directional reflectance properties; albedos (spectral and photosynthetically active radiation (PAR) integrated); fraction of absorbed photosynthetically active radiation (FPAR); associated radiation parameters; and terrain-referenced geometric parameters. proprietary
@@ -6298,7 +6302,9 @@ GOMIB2T_003 MISR Level 1B2 Terrain Product subset for the GoMACCS region V003 LA
GOMIGEO_002 MISR Geometric Parameters subset for the GoMACCS region V002 LARC STAC Catalog 2006-07-30 2006-10-17 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1625796320-LARC.umm_json Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Geometric Parameters subset for the GoMACCS region V002 contains the Geometric Parameters which measure the sun and view angles at the reference ellipsoid. proprietary
GOM_0 Gulf of Mexico (GOM) measurements, 1994 and 1997 OB_DAAC STAC Catalog 1994-03-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360305-OB_DAAC.umm_json Gulf of Mexico measurements made in 1994 and 1997. proprietary
GOM_Oil_Spill_0 Measurements during the Deepwater Horizon Oil Spill in the Gulf of Mexico (GOM) OB_DAAC STAC Catalog 2010-05-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360338-OB_DAAC.umm_json Measurements made in the Gulf of Mexico in 2010 during the Deepwater Horizon Oil Spill. proprietary
+GOSAT-2.TANSO.FTS-2.and.CAI-2.ESA.archive_3.0 GOSAT-2 TANSO FTS-2 and CAI-2 ESA archive ESA STAC Catalog 2018-10-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3325394516-ESA.umm_json "The TANSO-FTS-2 (Thermal And Near infrared Sensor for carbon Observation - Fourier Transform Spectrometer-2) instrument is an high-resolution 5-bands (NIR and TIR) spectrometer which allows the observation of reflective and emissive radiative energy from Earth's surface and the atmosphere for the measurement of atmospheric chemistry and greenhouse gases. The TANSO-CAI-2 (Thermal And Near infrared Sensor for carbon Observation - Cloud and Aerosol Imager-2) instrument is a push-broom radiometer in the spectral ranges of ultraviolet (UV), visible (VIS), Near Infrared (NIR) and SWIR (5 bands observe in the forward direction and 5 in backwards direction, with LOS tilted by 20 degrees) for the observation of aerosols and cloud optical properties and for monitoring of air pollution. The GOSAT-2 available products are: • FTS-2 Level 1A products contain interferogram data observed by FTS-2, together with geometric information of observation points and various telemetry. In addition, data from an optical camera (CAM) near the observation time are also stored. Two different products for day and night observations. Common data contain common information for SWIR/TIR including CAM data; SWIR data contain information from SWIR band; TIR data contain information from TIR band. • FTS-2 level 1B products contain spectrum data, which are generated by Fourier transformation and other corrections to raw interferogram data in L1A. The sampled CAM data near the observation time are also stored. Two different products for day and night observations. Common data contain common information for SWIR/TIR including CAM data; SWIR products for SWIR spectrum data before and after sensitivity correction; TIR products for TIR spectrum data after sensitivity correction using blackbody and deep space calibration data and after correction of finite field of view. • FTS-2 NearRealTime products: FTS-2 data are first processed with predicted orbit file and made immediately available: NRT product does not include monitor camera image, best-estimate pointing-location, and target point classification but is available on the ESA server 5 hours after sensing. After a few days (usually 3 days), data is reprocessed with definitive orbit file and sent as a consolidated product. • FTS-2 Level 2 products: “Column-averaged Dry-air Mole Fraction” products store column-averaged dry-air mole fraction of atmospheric gases retrieved by using Band 1-3 spectral radiance data in TANSO-FTS-2 L1B; “Chlorophyll Fluorescence and Proxy Method (FTS-2_02_SWPR)” products store solar induced chlorophyll fluorescence data retrieved from Band 1 spectral radiance data in L1B Product as well as column-averaged dry-air mole fraction of atmospheric gases retrieved from Band 2 and 3 spectral radiance data in L1B Product. Both products are obtained by using the fill-physic maximum a posteriori (MAP) method and under the assumption of clear-sky condition. • CAI-2 Level 1A products contain uncorrected image data of TANSO-CAI-2, which is stored as digital number together with telemetry of geometric information at observation point, orbit and attitude data, temperature, etc. One scene is defined as a satellite revolution data starting from ascending node to the next ascending node. Common data contain common information for both Forward looking and Backward looking; FWD products contain information for Forward looking bands, from 1 to 5; BWD products contain information for Backward looking bands, from 6 to 10. • CAI-2 Level 1B products contain spectral radiance data per pixel converted from TANSO-CAI-2 L1A Products. Band-to-band registration of each forward- and backward- viewing band is applied; ortho-correction is performed to observation location data based on an earth ellipsoid model using digital elevation model data. • CAI-2 Level 2 products: Cloud Discrimination Products stores clear-sky confidence levels per pixel, which are calculated by combining the results of threshold tests for multiple features such as reflectance ratio and Normalised Difference Vegetation Index (NDVI), obtained from spectral radiance data in GOSAT-2 TANSO-CAI-2 L1B Product. This product also stores cloud status bit data, in which results of individual threshold tests and quality flags are summarised. The full ESA archive and newly acquired/systematically processed GOSAT-2 FTS-2 and CAI-2 products are (ESA collection name versus JAXA product name): • FTS-2 L1A Common day (FTS-2_1A_COMMON_DAY) • FTS-2 L1A Common night (FTS-2_1A_COMMON_NIGHT) • FTS-2 L1A SWIR day (FTS-2_1A_SWIR_DAY) • FTS-2 L1A TIR day (FTS-2_1A_TIR_DAY) • FTS-2 L1A TIR night (FTS-2_1A_TIR_NIGHT) • FTS-2 L1B Common day (FTS-2_1B_COMMON_DAY) • FTS-2 L1B Common night (FTS-2_1B_COMMON_NIGHT) • FTS-2 L1B SWIR day (FTS-2_1B_SWIR_DAY) • FTS-2 L1B TIR day (FTS-2_1B_TIR_DAY) • FTS-2 L1B TIR night (FTS-2_1B_TIR_NIGHT) • FTS-2 L2 Column-averaged Dry-air Mole Fraction (FTS-2_0) • FTS-2 L2 Chlorophyll Fluorescence and Proxy Method (FTS-2_02_SWPR) • CAI-2 L1A Common (CAI-2_1A_COMMON) • CAI-2 L1A Forward viewing (CAI-2_1A_FWD) • CAI-2 L1A Backward viewing (CAI-2_1A_BWD) • CAI-2 L1B (CAI-2_1B)" proprietary
GOSAT.TANSO-FTS.CAI.full.archive.and.new.products_NA GOSAT TANSO FTS and CAI full archive and new products ESA STAC Catalog 2009-04-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336911-ESA.umm_json The TANSO-FTS instrument on-board GOSAT satellite features high optical throughput, fine spectral resolution, and a wide spectral coverage (from VIS to TIR in four bands). The reflective radiative energy is covered by the VIS and SWIR (Shortwave Infrared) ranges, while the emissive portion of radiation from Earth's surface and the atmosphere is covered by the MWIR (Midwave Infrared) and TIR (Thermal Infrared) ranges. These spectra include the absorption lines of greenhouse gases such as carbon dioxide (CO2) and methane (CH4). The TANSO-CAI instrument on-board GOSAT satellite is a radiometer in the spectral ranges of ultraviolet (UV), visible, and SWIR to correct cloud and aerosol interference. The imager has continuous spatial coverage, a wider field of view, and higher spatial resolution than the FTS in order to detect the aerosol spatial distribution and cloud coverage. Using the multispectral bands, the spectral characteristics of the aerosol scattering can be retrieved together with optical thickness. In addition, the UV-band range observations provide the aerosol data over land. With the FTS spectra, imager data, and the retrieval algorithm to remove cloud and aerosol contamination, the column density of the gases can be the column density of the gases can be retrieved with an accuracy of 1%. The full ESA archive and newly acquired/systematically processed GOSAT FTS and CAI products are available in the following processing levels: - FTS Observation mode 1 L1B, day (FTS_OB1D_1) - FTS Observation mode 1 L1B, night (FTS_OB1N_1) - FTS Special Observation L1B, day (FTS_SPOD_1) - FTS Special Observation L1B, night (FTS_SPON_1) - FTS L2 CO2 profile, TIR (FTS_P01T_2) - FTS L2 CH4 profile, TIR (FTS_P02T_2) - FTS L2 CH4 column amount, SWIR (FTS_C02S_2) - FTS L2 CO2 column amount, SWIR (FTS_C01S_2) - FTS L2 H2O column amount, SWIR (FTS_C03S_2) - FTS L3 global CO2 distribution, SWIR (FTS_C01S_3) - FTS L3 global CH4 distribution, SWIR (FTS_C02S_3) - FTS L4A global CO2 flux, annual in text format (FTS_F01M4A) - FTS L4A global CO2 flux, annual in netCDF format (FTS_F03M4A) - FTS L4A global CO2 distribution (FTS_P01M4B) - FTS L4A global CH4 flux, annual in text format (FTS_F02M4A) - FTS L4A global CH4 flux, annual in netCDF format (FTS_F04M4A) - FTS L4A global CH4 distribution (FTS_P02M4B) - CAI L1B data (CAI_TRB0_1) - CAI L1B+ (CAI_TRBP_1) - CAI L2 cloud flag (CAI_CLDM_2) - CAI L3 global reflect. distrib. clear sky (CAI_TRCF_3) - CAI L3 global radiance distrib. all pixels (CAI_TRCL_3) - CAI L3 global NDVI (CAI_NDVI_3) All products are made available as soon as processed and received from JAXA. To satisfy NearRealTime requirements, ESA also provides access to the FTS L1X products, which are the NRT version of FTS L1B products. The main difference between L1X and L1B is that L1X does not include CAM data, best-estimate pointing-location, and target point classification, but most of all the L1X products are available on the ESA server between 2 and 5 hours after acquisition. The L1X products remains on the FTP server for 5 days, the time for the corresponding L1B to be available. A document describing the differences between L1X and L1B products is listed in the available resources. For more details on products, please refer to below product specifications. proprietary
+GOSAT.TANSO.FTS.and.CAI.ESA.archive_3.0 GOSAT TANSO FTS and CAI ESA archive ESA STAC Catalog 2009-04-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3325394666-ESA.umm_json "The TANSO-FTS instrument on-board GOSAT satellite features high optical throughput, fine spectral resolution, and a wide spectral coverage (from VIS to TIR in four bands). The reflective radiative energy is covered by the VIS and SWIR (Shortwave Infrared) ranges, while the emissive portion of radiation from Earth's surface and the atmosphere is covered by the MWIR (Midwave Infrared) and TIR (Thermal Infrared) ranges. These spectra include the absorption lines of greenhouse gases such as carbon dioxide (CO2) and methane (CH4). The TANSO-CAI instrument on-board GOSAT satellite is a radiometer in the spectral ranges of ultraviolet (UV), visible, and SWIR to correct cloud and aerosol interference. The imager has continuous spatial coverage, a wider field of view, and higher spatial resolution than the FTS in order to detect the aerosol spatial distribution and cloud coverage. Using the multispectral bands, the spectral characteristics of the aerosol scattering can be retrieved together with optical thickness. In addition, the UV-band range observations provide the aerosol data over land. With the FTS spectra, imager data, and the retrieval algorithm to remove cloud and aerosol contamination, the column density of the gases can be retrieved with an accuracy of 1%. The full ESA archive and newly acquired/systematically processed GOSAT FTS and CAI products are available in the following processing levels: • FTS Observation mode 1 L1B, day (FTS_OB1D_1) • FTS Observation mode 1 L1B, night (FTS_OB1N_1) • FTS Special Observation L1B, day (FTS_SPOD_1) • FTS Special Observation L1B, night (FTS_SPON_1) • FTS L2 CO2 profile, TIR (FTS_P01T_2) • FTS L2 CH4 profile, TIR (FTS_P02T_2) • FTS L2 CH4 column amount, SWIR (FTS_C02S_2) • FTS L2 CO2 column amount, SWIR (FTS_C01S_2) • FTS L2 H2O column amount, SWIR (FTS_C03S_2) • FTS L3 global CO2 distribution, SWIR (FTS_C01S_3) • FTS L3 global CH4 distribution, SWIR (FTS_C02S_3) • FTS L4A global CO2 flux, annual in text format (FTS_F01M4A) • FTS L4A global CO2 flux, annual in netCDF format (FTS_F03M4A) • FTS L4A global CO2 distribution (FTS_P01M4B) • FTS L4A global CH4 flux, annual in text format (FTS_F02M4A) • FTS L4A global CH4 flux, annual in netCDF format (FTS_F04M4A) • FTS L4A global CH4 distribution (FTS_P02M4B) • CAI L1B data (CAI_TRB0_1) • CAI L1B+ (CAI_TRBP_1) • CAI L2 cloud flag (CAI_CLDM_2) • CAI L3 global reflect. distrib. clear sky (CAI_TRCF_3) • CAI L3 global radiance distrib. all pixels (CAI_TRCL_3) • CAI L3 global NDVI (CAI_NDVI_3) All products are made available as soon as processed and received from JAXA. To satisfy NearRealTime requirements, ESA also provides access to the FTS L1X products, which are the NRT version of FTS L1B products. The main difference between L1X and L1B is that L1X does not include CAM data, best-estimate pointing-location, and target point classification, but most of all the L1X products are available on the ESA server between 2 and 5 hours after acquisition. The L1X products remain on the dissemination server for 5 days, the time for the corresponding L1B to be available. A document describing the differences between L1X and L1B products is listed in the available resources. For more details on products, please refer to below product specifications." proprietary
GOSAT2.TANSO-FTS2.CAI2.full.archive.and.new.products_NA GOSAT-2 TANSO FTS-2 and CAI-2 full archive and new products ESA STAC Catalog 2009-04-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689652-ESA.umm_json "The TANSO-FTS-2 (Thermal And Near infrared Sensor for carbon Observation - Fourier Transform Spectrometer-2) instrument is an high-resolution 5-bands (NIR and TIR) spectrometer which allows the observation of reflective and emissive radiative energy from Earth's surface and the atmosphere for the measurement of atmospheric chemistry and greenhouse gases. The TANSO-CAI-2 (Thermal And Near infrared Sensor for carbon Observation - Cloud and Aerosol Imager-2) instrument is a push-broom radiometer in the spectral ranges of ultraviolet (UV), visible (VIS), Near Infrared (NIR) and SWIR (5 bands observe in the forward direction and 5 in backwards direction, with LOS tilted of 20 degrees) for the observation of aerosols and clouds optical properties and for monitoring of air pollution The GOSAT-2 FTS-2 available products are: - FTS-2 Level 1A products contain interferogram data observed by FTS-2, together with geometric information of observation points and various telemetry. In addition, data from an optical camera (CAM) near the observation time are also stored. Two different products for day and night observations. Common data contain common information for SWIR/TIR including CAM data; SWIR data contain information from SWIR band; TIR data contain information from TIR band; - FTS-2 level 1B products contain spectrum data, which are generated by Fourier transformation and other corrections to raw interferogram data in L1A. The sampled CAM data near the observation time are also stored. Two different products for day and night observations. Common data contain common information for SWIR/TIR including CAM data; SWIR products for SWIR spectrum data before and after sensitivity correction; TIR products for TIR spectrum data after sensitivity correction using blackbody and deep space calibration data and after correction of finite field of view. - FTS-2 NearRealTime products: FTS-2 data are first processed with predicted orbit file and made immediately available: NRT product does not include monitor camera image, best-estimate pointing-location, and target point classification but is available on the ESA server 5 hours after sensing. After a few days (usually 3 days), data is reprocessed with definitive orbit file and sent as consolidated product. - FTS-2 Level 2 products: Column-averaged Dry-air Mole Fraction"" products store column-averaged dry-air mole fraction of atmospheric gases retrieved by using Band 1-3 spectral radiance data in TANSO-FTS-2 L1B; ""Chlorophyll Fluorescence and Proxy Method (FTS-2_02_SWPR)"" products store solar induced chlorophyll fluorescence data retrieved from Band 1 spectral radiance data in L1B Product as well as column-averaged dry-air mole fraction of atmospheric gases retrieved from Band 2 and 3 spectral radiance data in L1B Product. Both products are obtained by using the fill-physic maximum a posteriori (MAP) method and under the assumption of of clear-sky condition - CAI-2 Level 1A products contain uncorrected image data of TANSO-CAI-2, which is stored as digital number together with telemetry of geometric information at observation point, orbit and attitude data, temperature, etc. One scene is defined as a satellite revolution data starting from ascending node to the next ascending node. Common data contain common information for both Forward looking and Backward looking; FWD products contain information for Forward looking bands, from 1 to 5; BWD products contain information for Backward looking bands, from 6 to 10. - CAI-2 Level 1B products contain spectral radiance data per pixel converted from TANSO-CAI-2 L1A Products. Band-to-band registration of each forward- and backward- viewing band is applied; ortho-correction is performed to observation location data based on an earth ellipsoid model using digital elevation model data. - CAI-2 Level 2 products: Cloud Discrimination Products stores clear-sky confidence levels per pixel, which are calculated by combining the results of threshold tests for multiple features such as reflectance ratio and Normalized Difference Vegetation Index (NDVI), obtained from spectral radiance data in GOSAT-2 TANSO-CAI-2 L1B Product. This product also stores cloud status bit data, in which results of individual threshold tests and quality flags are summarized. The GOSAT-2 FTS-2 available products are: The full ESA archive and newly acquired/systematically processed GOSAT2 FTS-2 and CAI-2 products are (ESA collection name versus JAXA product name): - FTS-2 L1A Common day (FTS-2_1A_COMMON_DAY) - FTS-2 L1A Common night (FTS-2_1A_COMMON_NIGHT) - FTS-2 L1A SWIR day (FTS-2_1A_SWIR_DAY) - FTS-2 L1A TIR day (FTS-2_1A_TIR_DAY) - FTS-2 L1A TIR night (FTS-2_1A_TIR_NIGHT) - FTS-2 L1B Common day (FTS-2_1B_COMMON_DAY) - FTS-2 L1B Common night (FTS-2_1B_COMMON_NIGHT) - FTS-2 L1B SWIR day (FTS-2_1B_SWIR_DAY) - FTS-2 L1B TIR day (FTS-2_1B_TIR_DAY) - FTS-2 L1B TIR night (FTS-2_1B_TIR_NIGHT) - FTS-2 L2 Column-averaged Dry-air Mole Fraction (FTS-2_0) - FTS-2 L2 Chlorophyll Fluorescence and Proxy Method (FTS-2_02_SWPR) - CAI-2 L1A Common (CAI-2_1A_COMMON) - CAI-2 L1A Forward viewing (CAI-2_1A_FWD) - CAI-2 L1A Backward viewing (CAI-2_1A_BWD) - CAI-2 L1B (CAI-2_1B) All products are made available as soon as processed and received from JAXA. To satisfy NearRealTime requirements, ESA also provides access to the FTS L1X products, which are the NRT version of FTS L1B products. The main difference between L1X and L1B is that L1X does not include CAM data, best-estimate pointing-location, and target point classification, but most of all the L1X products are available on the ESA server between 2 and 5 hours after acquisition. The L1X products remains on the FTP server for 5 days, the time for the corresponding L1B to be available. A document describing the differences between L1X and L1B products is listed in the available resources. For more details on products, please refer to below product specifications." proprietary
GPCPDAY_3.1 GPCP Precipitation Level 3 Daily 0.5-Degree V3.1 (GPCPDAY) at GES DISC GES_DISC STAC Catalog 2000-06-01 2019-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2068254212-GES_DISC.umm_json This version has been superseded by Version 3.2 (DOI: 10.5067/MEASURES/GPCP/DATA305). The Global Precipitation Climatology Project (GPCP) is the precipitation component of an internationally coordinated set of (mainly) satellite-based global products dealing with the Earth's water and energy cycles, under the auspices of the Global Water and Energy Exchange (GEWEX) Data and Assessment Panel (GDAP) of the World Climate Research Programme. As the follow-on to the GPCP Version 1.3 One Degree Daily product, GPCP Version 3 (GPCP V3.1) seeks to continue the long, homogeneous precipitation record using modern merging techniques and input data sets. The GPCPV3 suite currently consists of the 0.5-degree Monthly and 0.5-degree Daily. Additional products may be added, which consist of (1) 0.5-degree pentad and (2) 0.1-degree 3-hourly. All GPCPV3 products will be internally consistent. The Daily product spans June 2000-December 2019. Inputs consist of GPM IMERG in the span 55°N-S, and TOVS/AIRS estimates, adjusted climatologically to IMERG, outside 55°N-S. The Daily estimates are scaled to approximately sum to the Monthly value at each 0.5° grid box. In addition to the final precipitation field, probability of liquid precipitation estimates are provided globally. proprietary
GPCPDAY_3.2 GPCP Precipitation Level 3 Daily 0.5-Degree V3.2 (GPCPDAY) at GES DISC GES_DISC STAC Catalog 2000-06-01 2021-09-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2211141201-GES_DISC.umm_json Version 3.2 is the current version. Older versions have been superseded by Version 3.2. The Global Precipitation Climatology Project (GPCP) is the precipitation component of an internationally coordinated set of (mainly) satellite-based global products dealing with the Earth's water and energy cycles, under the auspices of the Global Water and Energy Exchange (GEWEX) Data and Assessment Panel (GDAP) of the World Climate Research Program. As the follow on to the GPCP Version 1.3 One Degree Daily product, GPCP Version 3 (GPCP V3.2) seeks to continue the long, homogeneous precipitation record using modern merging techniques and input data sets. The GPCPV3 suite currently consists of the 0.5-degree Monthly and 0.5-degree Daily. Additional products may be added, which consist of (1) 0.5-degree pentad and (2) 0.1-degree 3-hourly. All GPCPV3 products will be internally consistent. The Daily product spans June 2000-December 2020. Inputs consist of GPM IMERG in the span 55°N-S, and TOVS/AIRS estimates, adjusted climatologically to IMERG, outside 55°N-S. The Daily estimates are scaled to approximately sum to the Monthly value at each 0.5° grid box. In addition to the final precipitation field, probability of liquid phase estimates are provided globally. proprietary
@@ -6533,7 +6539,7 @@ GPSROZPBLA_2 GPS Radio Occultation Boundary Layer Depth Annual L3 V2 (GPSROZPBLA
GPSROZPBLS_1 GPS Radio Occultation Boundary Layer Depth Seasonal L3 V1 (GPSROZPBLS) at GES DISC GES_DISC STAC Catalog 2006-06-01 2015-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1562324239-GES_DISC.umm_json "This dataset has been superseded by version 2. It provides seasonal averages of a global planetary boundary layer (PBL) height climatology derived from the COSMIC/FORMOSAT-3 and TerraSAR-X Global Positioning System (GPS) radio occultation (RO) measurements from June 2006 to December 2015. The COSMIC/FORMOSAT-3 mission consists of a six-satellite constellation launched in 2006. Each satellite carries the IGOR GPS receiver and is equipped with fore and aft looking antenna to track both setting and rising occultations. The constellation provides globally distributed measurements across different local times. The TerraSAR-X (TSX) is a X-band SAR imaging satellite with GPS RO being a secondary measurement. It also carries an IGOR receiver and has been collecting GPS RO measurements since 2011. The instrument tracks the L-band microwave signal broadcast by a GPS satellite in a limb-viewing geometry. The IGOR receivers on COSMIC and TSX are capable of tracking the GPS signals in open loop through the middle to lower troposphere, which is essential for obtaining data with high quality for PBL height estimation, especially at low latitudes. The refractivity profiles from COSMIC and TSX form the basis for this PBL height product. For each occultation, the PBL height is calculated as the height where the vertical gradient of the refractivity (dN/dz) is minimum. This algorithm is designed to locate the height where a large vertical change in refractivity occurs, corresponding to the transition from the free troposphere to the PBL. More details can be found in Ao et al. (2012). Each PBL height is associated with a time (starting time of the occultation) and location (latitude and longitude of the tangent point at the minimum altitude). The PBL height data are then binned into 2 degree x 2 degree latitude/longitude regions and averaged to produce the mean and standard deviation values in the climatology products. The refractivity profile has a vertical resolution of about 200 m and represents an along path horizontal averaging of ~100 km. Thus, occultations with tangent points near the coast may represent averaging over both land and ocean and should be interpreted with care. The refractivity gradient method used here is not the only method that can be used to estimate the PBL height. Other algorithms have been proposed, including looking at ""breakpoint"" instead of minimum gradient, wavelet covariance transform, and using variables like bending angles or specific humidity instead of refractivity. However, the basic principle is the same. The difference between the different algorithms is small where the PBL is well-defined, with a strong capping inversion." proprietary
GPSROZPBLS_2 GPS Radio Occultation Boundary Layer Depth Seasonal L3 V2 (GPSROZPBLS) at GES DISC GES_DISC STAC Catalog 2006-06-01 2019-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2226041112-GES_DISC.umm_json This dataset provides a seasonal average climatology of global planetary boundary layer (PBL) height derived from COSMIC/FORMOSAT-3, TerraSAR-X, KOMPSAT-5, and PAZ Global Positioning System (GPS) radio occultation (RO) measurements. The COSMIC/FORMOSAT-3 mission consists of a six-satellite constellation launched in 2006. Each satellite carries an Integrated GPS Occultation Receiver (IGOR) GPS receiver and is equipped with fore and aft looking antenna to track both setting and rising occultations. The constellation provides globally distributed measurements across different local times. The instrument tracks the L-band microwave signal broadcast by a GPS satellite in a limb-viewing geometry. The IGOR receivers are capable of tracking the GPS signals in open loop through the middle to lower troposphere, which is essential for obtaining data with high quality for PBL height estimation, especially at low latitudes. The refractivity profiles form the basis for this PBL height product. For each occultation, the PBL height is calculated as the height where the vertical gradient of the refractivity (dN/dz) is minimum. This algorithm is designed to locate the height where a large vertical change in refractivity occurs, corresponding to the transition from the free troposphere to the PBL. More details can be found in Ao et al. (2012). This is the latest version of this collection which supersedes previous versions. proprietary
GP_Bibliography_1 Giant Petrels Bibliography AU_AADC STAC Catalog 2000-09-30 2006-03-31 -180, -66, 180, -53 https://cmr.earthdata.nasa.gov/search/concepts/C1214308575-AU_AADC.umm_json Giant Petrels Bibliography compiled by Donna Patterson of the SCAR Bird Biology Subgroup, contains 113 records. The fields in this dataset are: year author title journal petrel proprietary
-GRACE-A.and.GRACE-B.Level1B.Level1Bcombined.Level2_NA GRACE-A and GRACE-B Level 1B, Level 1B combined and Level 2 Data Products ESA STAC Catalog 2002-04-01 2017-10-27 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336912-ESA.umm_json Level-1A Data Products are the result of a non-destructive processing applied to the Level-0 data at NASA/JPL. The sensor calibration factors are applied in order to convert the binary encoded measurements to engineering units. Where necessary, time tag integer second ambiguity is resolved and data are time tagged to the respective satellite receiver clock time. Editing and quality control flags are added, and the data is reformatted for further processing. The Level-1A data are reversible to Level-0, except for the bad data packets. This level also includes the ancillary data products needed for processing to the next data level. The Level-1B Data Products are the result of a possibly destructive, or irreversible, processing applied to both the Level-1A and Level-0 data at NASA/JPL. The data are correctly time-tagged, and data sample rate is reduced from the higher rates of the previous levels. Collectively, the processing from Level-0 to Level-1B is called the Level-1 Processing. This level also includes the ancillary data products generated during this processing, and the additional data needed for further processing. The Level-2 data products include the static and time-variable (monthly) gravity field and related data products derived from the application of Level-2 processing at GFZ, UTCSR and JPL to the previous level data products. This level also includes the ancillary data products such as GFZ's Level-1B short-term atmosphere and ocean de-aliasing product (AOD1B) generated during this processing. GRACE-A and GRACE-B Level-1B Data Product • Satellite clock solution [GA-OG-1B-CLKDAT, GB-OG-1B-CLKDAT, GRACE CLKDAT]: Offset of the satellite receiver clock relative to GPS time, obtained by linear fit to raw on-board clock offset estimates. • GPS flight data [GA-OG-1B-GPSDAT, GB-OG-1B-GPSDAT, GRACE GPSDAT]: Preprocessed and calibrated GPS code and phase tracking data edited and decimated from instrument high-rate (10 s (code) or 1 s (phase)) to low-rate (10 s) samples for science use (1 file per day, level-1 format) • Accelerometer Housekeeping data [GA-OG-1B-ACCHKP, GB-OG-1B-ACCHKP, GRACE ACCHKP]: Accelerometer proof-mass bias voltages, capacitive sensor outputs, instrument control unit (ICU) and sensor unit (SU) temperatures, reference voltages, primary and secondary power supply voltages (1 file per day, level-1 format). • Accelerometer data [GA-OG-1B-ACCDAT, GB-OG-1B-ACCDAT, GRACE ACCDAT]: Preprocessed and calibrated Level-1B accelerometer data edited and decimated from instrument high-rate (0.1 s) to low-rate (1s) samples for science use (1 file per day, level-1 format). • Intermediate clock solution [GA-OG-1B-INTCLK, GB-OG-1B-INTCLK, GRACE INTCLK]: derived with GIPSY POD software (300 s sample rate) (1 file per day, GIPSY format) • Instrument processing unit (IPU) Housekeeping data [GA-OG-1B-IPUHKP, GB-OG-1B-IPUHKP, GRACE IPUHKP]: edited and decimated from high-rate (TBD s) to low-rate (TBD s) samples for science use (1 file per day, level-1 format) • Spacecraft Mass Housekeeping data [GA-OG-1B-MASDAT, GB-OG-1B-MASDAT, GRACE MASDAT]: Level 1B Data as a function of time • GPS navigation solution data [GA-OG-1B-NAVSOL, GB-OG-1B-NAVSOL, GRACE NAVSOL]: edited and decimated from instrument high-rate (60 s) to low-rate (30 s) samples for science use (1 file per day, level-1 format) • OBDH time mapping to GPS time Housekeeping data [GA-OG-1B-OBDHTM, GB-OG-1B-OBDHTM, GRACE OBDHTM]: On-board data handling (OBDH) time mapping data (OBDH time to receiver time • Star camera data [GA-OG-1B-SCAATT, GB-OG-1B-SCAATT, GRACE SCAATT]: Preprocessed and calibrated star camera quaternion data edited and decimated from instrument high-rate (1 s) to low-rate (5 s) samples for science use (1 file per day, level-1 format) • Thruster activation Housekeeping data [GA-OG-1B-THRDAT, GB-OG-1B-THRDAT, GRACE THRDAT]: GN2 thruster data used for attitude (10 mN) and orbit (40 mN) control • GN2 tank temperature and pressure Housekeeping data [GA-OG-1B-TNKDAT, GB-OG-1B-TNKDAT, GRACE TNKDAT]: GN2 tank temperature and pressure data • Oscillator frequency data [GA-OG-1B-USODAT, GB-OG-1B-USODAT, GRACE USODAT]: derived from POD productGRACE-A and GRACE-B Combined Level-1B Data Product • Preprocessed and calibrated k-band ranging data [GA-OG-1B-KBRDAT, GB-OG-1B-KBRDAT, GRACE KBRDAT]: range, range-rate and range-acceleration data edited and decimated from instrument high-rate (0.1 s) to low-rate (5 s) samples for science use (1 file per day, level-1 format) • Atmosphere and Ocean De-aliasing Product [GA-OG-1B-ATMOCN, GB-OG-1B-ATMOCN, GRACE ATMOCN]: GRACE Atmosphere and Ocean De-aliasing Product GRACE Level-2 Data Product • GAC [GA-OG-_2-GAC, GB-OG-_2-GAC, GRACE GAC]: Combination of non-tidal atmosphere and ocean spherical harmonic coefficients provided as average over certain time span (same as corresponding GSM product) based on level-1 AOD1B product (1file per time span, level-2 format) • GCM [GA-OG-_2-GCM, GB-OG-_2-GCM, GRACE GCM]: Spherical harmonic coefficients and standard deviations of the long-term static gravity field estimated by combination of GRACE satellite instrument data and other information for a dedicated time span (multiple years) and spatial resolution (1 file per time span, level-2 format) • GAB [GA-OG-_2-GAB, GB-OG-_2-GAB, GRACE GAB]: Non-tidal ocean spherical harmonic coefficients provided as average over certain time span (same as corresponding GSM product) based on level-1 AOD1B product (1file per time span, level-2 format) • GAD [GA-OG-_2-GAD, GB-OG-_2-GAD, GRACE GAD]: bottom pressure product - combination of surface pressure and ocean (over the oceans, and zero over land). Spherical harmonic coefficients provided as average over certain time span (same as corresponding GSM product) based on level-1 AOD1B product (1file per time span, level-2 format) • GSM [GA-OG-_2-GSM, GB-OG-_2-GSM, GRACE GSM]: Spherical harmonic coefficients and standard deviations of the static gravity field estimated from GRACE satellite instrument data only for a dedicated time span (e.g. weekly, monthly, multiple years) and spatial resolution (1 file per time span, level-2 format). proprietary
+GRACE-A.and.GRACE-B.Level1B.Level1Bcombined.Level2_4.0 GRACE-A and GRACE-B Level 1B, Level 1B combined and Level 2 Data Products ESA STAC Catalog 2002-04-01 2017-10-27 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336912-ESA.umm_json Level-1A Data Products are the result of a non-destructive processing applied to the Level-0 data at NASA/JPL. The sensor calibration factors are applied in order to convert the binary encoded measurements to engineering units. Where necessary, time tag integer second ambiguity is resolved and data are time tagged to the respective satellite receiver clock time. Editing and quality control flags are added, and the data is reformatted for further processing. The Level-1A data are reversible to Level-0, except for the bad data packets. This level also includes the ancillary data products needed for processing to the next data level. The Level-1B Data Products are the result of a possibly destructive, or irreversible, processing applied to both the Level-1A and Level-0 data at NASA/JPL. The data are correctly time-tagged, and data sample rate is reduced from the higher rates of the previous levels. Collectively, the processing from Level-0 to Level-1B is called the Level-1 Processing. This level also includes the ancillary data products generated during this processing, and the additional data needed for further processing. The Level-2 data products include the static and time-variable (monthly) gravity field and related data products derived from the application of Level-2 processing at GFZ, UTCSR and JPL to the previous level data products. This level also includes the ancillary data products such as GFZ's Level-1B short-term atmosphere and ocean de-aliasing product (AOD1B) generated during this processing. GRACE-A and GRACE-B Level-1B Data Product • Satellite clock solution [GA-OG-1B-CLKDAT, GB-OG-1B-CLKDAT, GRACE CLKDAT]: Offset of the satellite receiver clock relative to GPS time, obtained by linear fit to raw on-board clock offset estimates. • GPS flight data [GA-OG-1B-GPSDAT, GB-OG-1B-GPSDAT, GRACE GPSDAT]: Preprocessed and calibrated GPS code and phase tracking data edited and decimated from instrument high-rate (10 s (code) or 1 s (phase)) to low-rate (10 s) samples for science use (1 file per day, level-1 format) • Accelerometer Housekeeping data [GA-OG-1B-ACCHKP, GB-OG-1B-ACCHKP, GRACE ACCHKP]: Accelerometer proof-mass bias voltages, capacitive sensor outputs, instrument control unit (ICU) and sensor unit (SU) temperatures, reference voltages, primary and secondary power supply voltages (1 file per day, level-1 format). • Accelerometer data [GA-OG-1B-ACCDAT, GB-OG-1B-ACCDAT, GRACE ACCDAT]: Preprocessed and calibrated Level-1B accelerometer data edited and decimated from instrument high-rate (0.1 s) to low-rate (1s) samples for science use (1 file per day, level-1 format). • Intermediate clock solution [GA-OG-1B-INTCLK, GB-OG-1B-INTCLK, GRACE INTCLK]: derived with GIPSY POD software (300 s sample rate) (1 file per day, GIPSY format) • Instrument processing unit (IPU) Housekeeping data [GA-OG-1B-IPUHKP, GB-OG-1B-IPUHKP, GRACE IPUHKP]: edited and decimated from high-rate (TBD s) to low-rate (TBD s) samples for science use (1 file per day, level-1 format) • Spacecraft Mass Housekeeping data [GA-OG-1B-MASDAT, GB-OG-1B-MASDAT, GRACE MASDAT]: Level 1B Data as a function of time • GPS navigation solution data [GA-OG-1B-NAVSOL, GB-OG-1B-NAVSOL, GRACE NAVSOL]: edited and decimated from instrument high-rate (60 s) to low-rate (30 s) samples for science use (1 file per day, level-1 format) • OBDH time mapping to GPS time Housekeeping data [GA-OG-1B-OBDHTM, GB-OG-1B-OBDHTM, GRACE OBDHTM]: On-board data handling (OBDH) time mapping data (OBDH time to receiver time • Star camera data [GA-OG-1B-SCAATT, GB-OG-1B-SCAATT, GRACE SCAATT]: Preprocessed and calibrated star camera quaternion data edited and decimated from instrument high-rate (1 s) to low-rate (5 s) samples for science use (1 file per day, level-1 format) • Thruster activation Housekeeping data [GA-OG-1B-THRDAT, GB-OG-1B-THRDAT, GRACE THRDAT]: GN2 thruster data used for attitude (10 mN) and orbit (40 mN) control • GN2 tank temperature and pressure Housekeeping data [GA-OG-1B-TNKDAT, GB-OG-1B-TNKDAT, GRACE TNKDAT]: GN2 tank temperature and pressure data • Oscillator frequency data [GA-OG-1B-USODAT, GB-OG-1B-USODAT, GRACE USODAT]: derived from POD productGRACE-A and GRACE-B Combined Level-1B Data Product • Preprocessed and calibrated k-band ranging data [GA-OG-1B-KBRDAT, GB-OG-1B-KBRDAT, GRACE KBRDAT]: range, range-rate and range-acceleration data edited and decimated from instrument high-rate (0.1 s) to low-rate (5 s) samples for science use (1 file per day, level-1 format) • Atmosphere and Ocean De-aliasing Product [GA-OG-1B-ATMOCN, GB-OG-1B-ATMOCN, GRACE ATMOCN]: GRACE Atmosphere and Ocean De-aliasing Product GRACE Level-2 Data Product • GAC [GA-OG-_2-GAC, GB-OG-_2-GAC, GRACE GAC]: Combination of non-tidal atmosphere and ocean spherical harmonic coefficients provided as average over certain time span (same as corresponding GSM product) based on level-1 AOD1B product (1file per time span, level-2 format) • GCM [GA-OG-_2-GCM, GB-OG-_2-GCM, GRACE GCM]: Spherical harmonic coefficients and standard deviations of the long-term static gravity field estimated by combination of GRACE satellite instrument data and other information for a dedicated time span (multiple years) and spatial resolution (1 file per time span, level-2 format) • GAB [GA-OG-_2-GAB, GB-OG-_2-GAB, GRACE GAB]: Non-tidal ocean spherical harmonic coefficients provided as average over certain time span (same as corresponding GSM product) based on level-1 AOD1B product (1file per time span, level-2 format) • GAD [GA-OG-_2-GAD, GB-OG-_2-GAD, GRACE GAD]: bottom pressure product - combination of surface pressure and ocean (over the oceans, and zero over land). Spherical harmonic coefficients provided as average over certain time span (same as corresponding GSM product) based on level-1 AOD1B product (1file per time span, level-2 format) • GSM [GA-OG-_2-GSM, GB-OG-_2-GSM, GRACE GSM]: Spherical harmonic coefficients and standard deviations of the static gravity field estimated from GRACE satellite instrument data only for a dedicated time span (e.g. weekly, monthly, multiple years) and spatial resolution (1 file per time span, level-2 format). proprietary
GRACEDADM_CLSM0125US_7D_4.0 Groundwater and Soil Moisture Conditions from GRACE and GRACE-FO Data Assimilation L4 7-days 0.125 x 0.125 degree U.S. V4.0 (GRACEDADM_CLSM0125US_7D) at GES DISC GES_DISC STAC Catalog 2002-04-01 -125, 25, -67, 53 https://cmr.earthdata.nasa.gov/search/concepts/C1993409520-GES_DISC.umm_json Scientists at NASA Goddard Space Flight Center generate groundwater and soil moisture drought indicators each week. They are based on terrestrial water storage observations derived from GRACE satellite data and integrated with other observations, using a sophisticated numerical model of land surface water and energy processes. This data product is GRACE Data Assimilation for Drought Monitoring (GRACE-DA-DM) U.S. Version 4.0 data product and supersedes the GRACE-DA-DM Version 2.0. The GRACE-DA-DM U.S. V4.0 is based on the Catchment Land Surface Model (CLSM) Fortuna 2.5 version simulation that was created within the Land Information System data assimilation framework (Kumar et al., 2016). This simulation used the latest GRACE RL06 (GRACE; 2002-2017) and GRACE Follow On (GRACE-FO; 2018-present) Mascon solutions version 2, at 0.25 degree resolution, from the University of Texas at Austin (Save et al., 2016; Save, 2020). The CLSM soil parameters were updated to address a soil moisture dry limit issue found near Zapata, Texas. Because the root zone soil moisture frequently reaches the dry limit there, drought conditions are often “normal” when the area should be in drought. The new soil parameters resolved the issue, and the root zone soil moisture now matches closely the in-situ observation near Zapata. In the data assimilation, the baseline for Terrestrial Water Storage anomaly computation was updated to the 2003-2019 mean, whereas previous simulations used the 2003-2016 mean. The percentile computation was switched to a 7-day moving average climatology, instead of monthly, to improve the temporal transition of drought/wetness conditions. The GRACE-DA-DM V1.0 was created by the stand alone CLSM (an older version) using the GRACE-Tellus 1 degree data from the Center for Space Research at University of Texas. The GRACE data assimilation (DA) is executed on a grid-to-grid basis in V2.0, while a basin scale average was used in V1.0 (Zaitchik et al. 2008). The V2.0 data were reprocessed (on June 14, 2017), using the GRACE RL05 Mascon solutions version 1 data set from UT CSR, for the entire period from April 1, 2002 to June 5, 2017. The reprocessing included fixes in the DA and increased the bedrock depth by 3 meters to enhance the drought indicator calculations. The GRACE-DA-DM U.S. V4.0 uses the same configuration as the V2.0 for the DA scheme and increased bedrock depth, with the updates previously mentioned, thus supersedes the previous versions. The GRACE-DA-DM U.S. V4.0 data product contains three drought indicators: Groundwater Percentile, Root Zone Soil Moisture Percentile, and Surface Soil Moisture Percentile. These drought indicators express wet or dry conditions as a percentile, indicating the probability of occurrence within the period of record from 1948 to 2014. The drought indicator data are daily, but available only one day (Monday) per week. The data have a spatial resolution of 0.125 x 0.125 degree over North America and range from April 1, 2002 to present (with a 3-6 months latency). The data are archived in NetCDF format. proprietary
GRACEDADM_CLSM025GL_7D_3.0 Groundwater and Soil Moisture Conditions from GRACE and GRACE-FO Data Assimilation L4 7-days 0.25 x 0.25 degree Global V3.0 (GRACEDADM_CLSM025GL_7D) at GES DISC GES_DISC STAC Catalog 2003-02-03 -180, -60, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2283200566-GES_DISC.umm_json Scientists at NASA Goddard Space Flight Center generate groundwater and soil moisture drought indicators each week. They are based on terrestrial water storage observations derived from GRACE-FO satellite data and integrated with other observations, using a sophisticated numerical model of land surface water and energy processes. This data product is GRACE Data Assimilation for Drought Monitoring (GRACE-DA-DM) Global Version 3.0 from a global GRACE and GRACE-FO data assimilation and drought indicator product generation (Li et al., 2019). It varies from the other GRACE-DA-DM products which are from the U.S. GRACE-based drought indicator product generation (Houborg et al., 2012). The GRACE-DA-DM Global V3.0 is similar to the GRACE-DA-DM U.S. V4.0 product. Both products are based on the Catchment Land Surface Model (CLSM) Fortuna 2.5 version simulation that was created within the Land Information System data assimilation framework (Kumar et al., 2016). GRACE-DA-DM Global V3.0 drought indicator maps are derived from the GLDAS_CLSM025_DA1_D product, at 0.25 degree resolution, forced by ECMWF meteorological data, and assimilated RL06 GRACE and GRACE-FO data from the University of Texas at Austin (Save et al., 2016; Save, 2020). The GRACE-DA-DM U.S. V4.0 is at 0.125 degree, which is based on a model simulation (not published at GES DISC) forced by NLDAS-2 meteorological data and assimilated with RL06 GRACE/GRACE-FO data. More information on GRACE-DA-DM U.S. V4.0 and previous versions of the data can be found in the README. The GRACE-DA-DM Global V3.0 data product contains three drought indicators: Groundwater Percentile, Root Zone Soil Moisture Percentile, and Surface Soil Moisture Percentile. These drought indicators express wet or dry conditions as a percentile, indicating the probability of occurrence within the period of record from 1948 to 2014. The drought indicator data are daily, but available only one day (Monday) per week. The data have a spatial resolution of 0.25 x 0.25 degree with global coverage (60S, 180W, 90N, 180E), and a temporal range from February 2003 to present (with a 3-6 month latency). The data are archived in NetCDF format. The GRACE-DA-DM is an operational project which produces groundwater and soil moisture drought indicators each week. The operational data is available weekly with a 2-9 day latency from the NASA GRACE project home page found under the Documentation tab. The GRACE-DA-DM data distributed here at GESDISC is the final archive version, which is generated after the latest GRACE-FO data are available. proprietary
GRACEFO_L1A_ASCII_GRAV_JPL_RL04_4 GRACE-FO Level-1A Release version 4.0 from JPL in ASCII POCLOUD STAC Catalog 2018-05-22 -180, -89, 180, 89 https://cmr.earthdata.nasa.gov/search/concepts/C2036882111-POCLOUD.umm_json FOR EXPERT USE ONLY. The GRACE-FO Level-1A data contains telemetry data that has been converted to engineering units, from which Level-1B data products are derived. For a detailed description, please see the GRACE-FO Level-1 documentation (https://podaac.jpl.nasa.gov/gravity/gracefo-documentation). proprietary
@@ -6610,14 +6616,14 @@ GWELDYR_032 NASA Global Web-Enabled Landsat Data Annual Global 30 m V032 LPCLOUD
GasEx_0 Southern Ocean Gas Exchange Experiment (GasEx) OB_DAAC STAC Catalog 2001-02-05 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360239-OB_DAAC.umm_json The GasEx experiments took place as several different cruises, e.g. GasEx I, GasEx II and GasEx III, also known as the Southern Ocean GasEx. proprietary
Gaus5k_1 Gaussberg 1:5000 Topographic GIS Dataset AU_AADC STAC Catalog 1997-02-13 1997-07-03 88.7, -67.3, 89.3, -66.7 https://cmr.earthdata.nasa.gov/search/concepts/C1214308587-AU_AADC.umm_json The Gaussberg 1:5000 Topographic Dataset details features in the Gaussberg area. The Gaussberg falls within Wilhelm II land. The database contains all natural features. Attributes are held for line, point and polygon features. The dataset includes five metre contours. Conforms to the SCAR Feature Catalogue. proprietary
GePCO_0 Geochemistry, Phytoplankton, and Color of the Ocean (GePCO) program OB_DAAC STAC Catalog 2001-04-11 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360243-OB_DAAC.umm_json Measurements taken during 2001 under the Geochemistry, Phytoplankton, and Color of the Ocean (GePCO) program. proprietary
-GeoEye-1.ESA.archive_NA GeoEye-1 ESA archive ESA STAC Catalog 2009-03-29 2020-07-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689467-ESA.umm_json The GeoEye-1 archive collection consists of GeoEye-1 products requested by ESA supported projects over their areas of interest around the world. The dataset regularly grows as ESA collects new products over the years. Panchromatic (up to 40cm resolution) and 4-Bands (up to 1.65m resolution) products are available; the 4-Bands includes various options such as Multispectral (separate channel for BLUE, GREEN, RED, NIR1), Pan-sharpened (BLUE, GREEN, RED, NIR1), Bundle (separate bands for PAN, BLUE, GREEN, RED, NIR1), Natural Color (pan-sharpened BLUE, GREEN, RED), Colored Infrared (pan-sharpened GREEN, RED, NIR1) The processing levels are: • STANDARD (2A): normalized for topographic relief • VIEW READY STANDARD (OR2A): ready for orthorectification • VIEW READY STEREO: collected in-track for stereo viewing and manipulation • MAP-READY (ORTHO) 1:12.000 Orthorectified: additional processing unnecessary Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/smcat/GeoEye-1/ available on the Third Party Missions Dissemination Service. proprietary
-GeoEye-1.full.archive.and.tasking_NA GeoEye-1 full archive and tasking ESA STAC Catalog 2008-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336913-ESA.umm_json GeoEye-1 high resolution optical products are available as part of the Maxar Standard Satellite Imagery products from the QuickBird, WorldView-1/-2/-3/-4, and GeoEye-1 satellites. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. In particular, GeoEye-1 offers archive and tasking panchromatic products up to 0.41m GSD resolution and Multispectral products up to 1.65m GSD resolution. Band Combination: STANDARD(2A)/VIEW READY STANDARD (OR2A), VIEW READY STEREO, MAP-READY (ORTHO) 1:12.000 Orthorectified Resolution: 0.30m, 0.40m, 0.50m and 0.60m The list of available archived data can be retrieved using the Image Library (https://www.euspaceimaging.com/image-library/) catalogue. proprietary
+GeoEye-1.ESA.archive_9.0 GeoEye-1 ESA archive ESA STAC Catalog 2009-03-29 2020-07-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689467-ESA.umm_json "The GeoEye-1 archive collection consists of GeoEye-1 products requested by ESA supported projects over their areas of interest around the world. The dataset regularly grows as ESA collects new products over the years. Panchromatic (up to 40 cm resolution) and 4-Bands (up to 1.65 m resolution) products are available. The 4-Bands includes various options such as Multispectral (separate channel for Blue, Green, Red, NIR1), Pan-sharpened (Blue, Green, Red, NIR1), Bundle (separate bands for PAN, Blue, Green, Red, NIR1), Natural Colour (pan-sharpened Blue, Green, Red), Coloured Infrared (pan-sharpened Green, Red, NIR1). The processing levels are: STANDARD (2A): normalised for topographic relief View Ready Standard (OR2A): ready for orthorectification View Ready Stereo: collected in-track for stereo viewing and manipulation Map-Ready (Ortho) 1:12,000 Orthorectified: additional processing unnecessary. Spatial coverage: Check the spatial coverage of the collection on a map available on the Third Party Missions Dissemination Service. The following table summarises the offered product types EO-SIP product type Band Combination Description GIS_4B__2A 4-Band (4B) 4-Band Standard/ 4-Band Ortho Ready Standard GIS_4B__MP 4-Band (4B) 4-Band Map Scale Ortho GIS_4B__OR 4-Band (4B) 4-Band Ortho Ready Stereo GIS_PAN_2A Panchromatic (PAN) Panchromatic Standard/ Panchromatic Ortho Ready Standard GIS_PAN_MP Panchromatic (PAN) Panchromatic Map Scale Ortho GIS_PAN_OR Panchromatic (PAN) Panchromatic Ortho Ready Stereo As per ESA policy, very high-resolution imagery of conflict areas cannot be provided." proprietary
+GeoEye-1.full.archive.and.tasking_8.0 GeoEye-1 full archive and tasking ESA STAC Catalog 2008-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336913-ESA.umm_json "GeoEye-1 high resolution optical products are available as part of the Maxar Standard Satellite Imagery products from the QuickBird, WorldView-1/-2/-3/-4 and GeoEye-1 satellites. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. In particular, GeoEye-1 offers archive and tasking panchromatic products up to 0.41 m GSD resolution and Multispectral products up to 1.65 m GSD resolution. Band Combination Data Processing Level Resolutions Panchromatic and 4-bands Standard (2A) / View Ready Standard (OR2A) 15 cm HD, 30 cm HD, 30 cm, 40 cm, 50/60 cm View Ready Stereo 30 cm, 40 cm, 50/60 cm Map-Ready (Ortho) 1:12,000 Orthorectified 15 cm HD, 30 cm HD, 30 cm, 40 cm, 50/60 cm The options for 4-Bands are the following: 4-Band Multispectral (BLUE, GREEN, RED, NIR1) 4-Band Pan-sharpened (BLUE, GREEN, RED, NIR1) 4-Band Bundle (PAN, BLUE, GREEN, RED, NIR1) 3-Bands Natural Colour (pan-sharpened BLUE, GREEN, RED) 3-Band Colored Infrared (pan-sharpened GREEN, RED, NIR1). Native 30 cm and 50/60 cm resolution products are processed with MAXAR HD Technology to generate respectively the 15 cm HD and 30 cm HD products the initial special resolution (GSD) is unchanged but the HD technique increases the number of pixels and improves the visual clarity achieving aesthetically refined imagery with precise edges and well-reconstructed details. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided." proprietary
Geo_Polar_Blended-OSPO-L4-GLOB-v1.0_1.0 GHRSST Level 4 OSPO Global Foundation Sea Surface Temperature Analysis (GDS version 2) POCLOUD STAC Catalog 2014-06-02 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2036877754-POCLOUD.umm_json A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis at the Office of Satellite and Product Operations (OSPO) using optimal interpolation (OI) on a global 0.054 degree grid. The Geo-Polar Blended Sea Surface Temperature (SST) Analysis combines multi-satellite retrievals of sea surface temperature into a single analysis of SST. This analysis uses both daytime and nighttime data from sensors that include the Advanced Very High Resolution Radiometer (AVHRR), the Visible Infrared Imager Radiometer Suite (VIIRS), the Geostationary Operational Environmental Satellite (GOES) imager, the Japanese Advanced Meteorological Imager (JAMI) and in situ data from ships, drifting and moored buoys. This analysis was specifically produced to be used as a lower boundary condition in Numerical Weather Prediction (NWP) models. This dataset adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications. proprietary
Geo_Polar_Blended_Night-OSPO-L4-GLOB-v1.0_1.0 GHRSST Level 4 OSPO Global Nighttime Foundation Sea Surface Temperature Analysis (GDS version 2) POCLOUD STAC Catalog 2014-06-02 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2036877745-POCLOUD.umm_json A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis at the Office of Satellite and Product Operations (OSPO) using optimal interpolation (OI) on a global 0.054 degree grid. The Geo-Polar Blended Sea Surface Temperature (SST) Analysis combines multi-satellite retrievals of sea surface temperature into a single analysis of SST. This analysis includes only nighttime data from sensors that include the Advanced Very High Resolution Radiometer (AVHRR), the Visible Infrared Imager Radiometer Suite (VIIRS), the Geostationary Operational Environmental Satellite (GOES) imager, the Japanese Advanced Meteorological Imager (JAMI) and in situ data from ships, drifting and moored buoys. This analysis was specifically produced to be used as a lower boundary condition in Numerical Weather Prediction (NWP) models. This dataset adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications. proprietary
Geology_NPCMs_1 Australian Geological Activities in the Northern Prince Charles Mountains AU_AADC STAC Catalog 1987-11-01 1996-03-31 60, -72, 70, -69.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214308590-AU_AADC.umm_json A dataset describing Australian Geological activities in the Northern Prince Charles Mountains from 1987 to 1996. The data are stored in an excel spreadsheet and contains information such as dates, base of operations, field leader, individual geologists, their field of speciality, localities visited and publications, theses or reports arising from the research. proprietary
GeomagneticObs_1 Geomagnetic Observatories at Australian Antarctic and subantarctic stations AU_AADC STAC Catalog 1911-12-13 45, -90, 160, -50 https://cmr.earthdata.nasa.gov/search/concepts/C1214308569-AU_AADC.umm_json Geomagnetic Observatories at Mawson and Macquarie Island, magnetic secular variation information from Davis and Casey, magnetic repeat stations in AAT and Heard Is (former observatories Wilkes, Heard). The geomagnetic elements X, Y and Z are the components of the vector field in the Geographic North, Geographic East and Vertical directions. They are in a cartesian coordinate system. The magnetic field is completely defined by three independent components such as X,Y and Z. It can also be expressed in polar coordinates as D,F,I where D is the declination, I is the inclination and F is the magnitude of the vector field. There is one other component used: H. This is the horizontal component. H,D and Z or D,H and F are also commonly used to define the magnetic field. Data stored at Geoscience Australia (GA). This is part of ASAC project 760. The fields in this dataset are: Date X (nT) Y (nT) Z (nT) proprietary
-Geosat-1.Full.archive.and.tasking_NA GEOSAT-1 full archive and tasking ESA STAC Catalog 2009-08-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2207498032-ESA.umm_json GEOSAT-1 full archive and new tasking products are available at 22 m resolution in two processing levels. L1R (Basic Geopositioned): All 3 spectral channels combined into a band-registered image. Geopositioned product based on sensor model. Coefficients derived from satellite orientation parameters coming from telemetry and appended to metadata L1T (L1R orthorectified): Orthorectified to sub-pixel accuracy (10 metres RMS error approximately) with respect to Landsat ETM+ reference data and hole-filled seamless SRTM DEM data V3, 2006 (90 m) GEOSAT-1 products are provided in DIMAP format. The image products are delivered in the TIFF and GeoTIFF image formats by default. All products can be provided in False Colours (R,G,NIR) or Natural Colours (R, G, Synthetic Blue). All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. The list of available archived data can be retrieved using the GEOSAT catalogue (https://catalogue.geosat.space/cscda/extcat/) All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. The list of available archived data can be retrieved using the Deimos catalogue (http://www.deimos-imaging.com/catalogue). proprietary
-Geosat-2.Full.archive.and.tasking_NA GEOSAT-2 full archive and tasking ESA STAC Catalog 2014-07-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2272577478-ESA.umm_json GEOSAT-2 full archive and new tasking products are available at up to 0.75m resolution as: Pan-sharpened (4 bands, 321 Natural Colours or 432 False Colours): A four-band image, resulting from adding the information of each multispectral band to the panchromatic band. The fusion does not preserves all spectral features of the multispectral bands, so it should not be used for radiometric purposes. Resolution 1m (L1B) or 0.75m (L1C); Bands: All, R-G-B or Ni-R-G Panchromatic: Single-band image coming from the panchromatic sensor. Resolution 1m (L1B) or 0.75m (L1C) Multispectral: Four-band image coming for the multispectral sensor, with band co-registration. Resolution 4m (L1B) or 3m (L1C) Bundle: Panchromatic + Multispectral bands: five-band image containing the panchromatic and multispectral products packaged together, with band co-registration. Stereo Pair: Obtained from two acquisitions of the same target performed from different viewpoints in the same pass by using the agility feature of the platform. It can be provided as a pair of pan-sharpened or panchromatic images. The image products are delivered in GeoTIFF image format by default. JPEG-2000 format is also available on demand. Available processing levels are L1B (native) and L1C (ortho): All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. The list of available archived data can be retrieved using the Deimos catalogue (http://www.deimos-imaging.com/catalogue). proprietary
+Geosat-1.Full.archive.and.tasking_6.0 GEOSAT-1 full archive and tasking ESA STAC Catalog 2009-08-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2207498032-ESA.umm_json GEOSAT-1 full archive and new tasking products are available at 22 m resolution in two processing levels. L1R (Basic Geopositioned): All 3 spectral channels combined into a band-registered image. Geopositioned product based on sensor model. Coefficients derived from satellite orientation parameters coming from telemetry and appended to metadata L1T (L1R orthorectified): Orthorectified to sub-pixel accuracy (10 metres RMS error approximately) with respect to Landsat ETM+ reference data and hole-filled seamless SRTM DEM data V3, 2006 (90 m) GEOSAT-1 products are provided in DIMAP format. The image products are delivered in the TIFF and GeoTIFF image formats by default. All products can be provided in False Colours (R,G,NIR) or Natural Colours (R, G, Synthetic Blue). All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. The list of available archived data can be retrieved using the GEOSAT catalogue (https://catalogue.geosat.space/cscda/extcat/) All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. The list of available archived data can be retrieved using the Deimos catalogue (http://www.deimos-imaging.com/catalogue). proprietary
+Geosat-2.Full.archive.and.tasking_8.0 GEOSAT-2 full archive and tasking ESA STAC Catalog 2014-07-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2272577478-ESA.umm_json "GEOSAT-2 full archive and new tasking products are available in different bands combinations: Pan-sharpened (4 bands, 321 Natural Colours or 432 False Colours): A four-band image, resulting from adding the information of each multispectral band to the panchromatic band. The fusion does not preserves all spectral features of the multispectral bands, so it should not be used for radiometric purposes. Resolution 1m (L1B), 0.75m (L1C) or 0.40m (L1D); Bands: All, R-G-B or Ni-R-G Panchromatic: Single-band image coming from the panchromatic sensor. Resolution 1m (L1B) or 0.75m (L1C) Multispectral: Four-band image coming for the multispectral sensor, with band co-registration. Resolution 4m (L1B) or 3m (L1C) Bundle: Panchromatic + Multispectral bands: five-band image containing the panchromatic and multispectral products packaged together, with band co-registration. Resolution 1m+4m (L1B), 0.75m+3m (L1C) or 0.40m+1.6m (L1D); And in addition Stereo Pair: Obtained from two acquisitions of the same target performed from different viewpoints in the same pass by using the agility feature of the platform. It can be provided as a pair of pan-sharpened or panchromatic images. GEOSAT-2 full archive and new tasking products are available at up to 0.4m resolution as: L1 SR Pan-sharpened (4 bands, 321 Natural Colours or 432 False Colours): A four-band image, resulting from adding the information of each multispectral band to the panchromatic band. The fusion does not preserve all spectral features of the multispectral bands, so it should not be used for radiometric purposes. Enhanced GSD from AI based techniques. Resolution 0.4m enhanced ortho; Bands: All, R-G-B or Ni-R-G L1SR Bundle: Panchromatic + Multispectral bands: five-band image containing the panchromatic and multispectral products packaged together, with band co-registration. Enhanced GSD from AI based techniques. Resolution 0.4m (P), 1.6m (MS) enhanced ortho. The image products are delivered in GeoTIFF image format by default. JPEG-2000 format is also available on demand. Available processing levels are ortho-ready L1B (not resampled) and ortho L1C (orthorectified and resampled). In addition, for Pan-sharpened and Bundle, also L1D (enhanced ortho) super-resolution products are available: based on artificial intelligence, this technology increases the original resolution and detail of an image without losing quality with respect to the original product Processing Level and Spatial Resolution Spectral Bands Product Type L1B (orthoready) L1C (ortho) L1D (Enhanced Ortho) Pan-sharpened 1.0m 0.75m 0.40m All R, G, B NI, R, G Pan 1.0m 0.75m Only Pan band MS 4.0m 3.00m Only MS band Bundle (PAN+MS) 1.0m (P), 4.0m (MS) 0.75m (P), 3.0m(MS) 0.40m (P), 1.6m(MS) All As per ESA policy, very high-resolution imagery of conflict areas cannot be provided." proprietary
GlacioTraverseProgram1985_1 Glaciology Spring and Autumn Traverse Program Casey 1985 AU_AADC STAC Catalog 1985-03-24 1986-01-03 110, -70, 114, -66 https://cmr.earthdata.nasa.gov/search/concepts/C1214308602-AU_AADC.umm_json Two major traverse programs were run out of Casey in 1985 over the Law Dome and Wilkes Land area. The first (Autumn/Winter) traverse ran from the 24th of March to 14th of June. The second (Spring) traverse ran from the 10th of September to the 3rd of January. Both traverses covered similar areas, visiting the A0, GC and GD series of snow canes. Numerous measurements were taken during the traverses in various quantities, including snow accumulation, sastrugi observations, wind direction and speed, air temperature, barometric pressure, snow hardness, snow density, gravity, snow temperature, and stratigraphy and isotope observations from shallow drilled cores. All log books from these traverses are archived at the Australian Antarctic Division. proprietary
GloSSAC_1.1 Global Space-based Stratospheric Aerosol Climatology Version 1.1 LARC_ASDC STAC Catalog 1979-01-01 2016-12-31 180, -80, -180, 80 https://cmr.earthdata.nasa.gov/search/concepts/C1544296224-LARC_ASDC.umm_json The Global Space-based Stratospheric Aerosol Climatology, or GloSSAC, is a 38-year climatology of stratospheric aerosol properties focused on extinction coefficient measurements by the Stratospheric Aerosol and Gas Experiment (SAGE) series of instruments through mid-2005 and on the Optical Spectrograph and InfraRed Imager System (OSIRIS) and the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) data thereafter. Data from other space instruments and from ground-based, air and balloon borne instruments to fill in key gaps in the data set. The end result is a global and gap-free data set focused on aerosol extinction coefficient at 525 and 1020 nm and other parameters on an ‘as available’ basis. proprietary
GloSSAC_2.0 Global Space-based Stratospheric Aerosol Climatology Version 2.0 LARC_ASDC STAC Catalog 1979-01-01 2018-12-31 180, -80, -180, 80 https://cmr.earthdata.nasa.gov/search/concepts/C1684217303-LARC_ASDC.umm_json The Global Space-based Stratospheric Aerosol Climatology, or GloSSAC, is a 40-year climatology of stratospheric aerosol properties focused on extinction coefficient measurements by the Stratospheric Aerosol and Gas Experiment (SAGE) series of instruments through mid-2005 and on the Optical Spectrograph and InfraRed Imager System (OSIRIS) and the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) data thereafter. Data from other space instruments and from ground-based, air and balloon borne instruments to fill in key gaps in the data set. The end result is a global and gap-free data set focused on aerosol extinction coefficient at 525 and 1020 nm and other parameters on an ‘as available’ basis. proprietary
@@ -6845,8 +6851,8 @@ ICEPAR_1 Integrated PAR exposure of sea ice in East Antarctica AU_AADC STAC Cata
ICESCAPE_0 Impacts of Climate on the Eco-Systems and Chemistry of the Arctic Pacific Environment (ICESCAPE) OB_DAAC STAC Catalog 2010-06-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360375-OB_DAAC.umm_json Impacts of Climate on the Eco-Systems and Chemistry of the Arctic Pacific Environment (ICESCAPE) was a multi-year NASA shipborne project. The bulk of the research took place in the Beaufort and Chukchi Seas in the summers of 2010 and 2011. proprietary
ICESheet_Antarctic_474 A dynamic early East Antarctic Ice Sheet suggested by ice-covered fjord landscapes SCIOPS STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214597991-SCIOPS.umm_json The East Antarctic ice sheet has played a fundamental part in modulating climate and sea level during the past 30 million years. Understanding its history is crucial to evaluating its future behaviour and response to global warming. Airborne ice-penetrating radar studies now reveal a fjord-like landscape beneath several kilometres of ice in the East Antarctic Aurora subglacial basin. The data confirm, and provide a new constraint on, the magnitude and dynamics of the oscillations of the East Antarctic ice sheet during the late Cenozoic, which had previously been supported only by marine cores. proprietary
ICEVOLC_FlowerKahn2020_1 MISR Derived Case Study Data for Iceland Volcanic Eruptions (Eyjafjallajokull, Grimsvotn, Holuhraun) Including Geometric Plume Height and Qualitative Radiometric Particle Property Information LARC_ASDC STAC Catalog 2010-04-15 2015-02-21 -30, 50, 5, 70 https://cmr.earthdata.nasa.gov/search/concepts/C1935878448-LARC_ASDC.umm_json This dataset comprises MISR-derived output from a comprehensive analysis of Icelandic volcano eruptions (Eyjafjallajokull 2010, Grimsvotn 2011, Holuhraun 2014-2015). The data presented here are analyzed and discussed in the following paper: Flower, V.J.B., and R.A. Kahn, 2020. The evolution of Icelandic volcano emissions, as observed from space in the era of NASA’s Earth Observing System (EOS). J. Geophys. Res. Atmosph. (in press). The data is subdivided by volcano of origin, date and MISR orbit number. Within each case folder there are up to 11 files relating to an individual MISR overpass. Files include plume height records (from both the red and blue spectral bands) derived from the MISR INteractive eXplorer (MINX) program, displayed in: map view, downwind profile plot (along with the associated wind vectors retrieved at plume elevation), a histogram of retrieved plume heights and a text file containing the digital plume height values. An additional JPG is included delineating the plume analysis region, start point for assessing downwind distance, and input wind direction used to initialize the MINX retrieval. A final two files are generated from the MISR Research Aerosol (RA) retrieval algorithm (Limbacher, J.A., and R.A. Kahn, 2014. MISR Research-Aerosol-Algorithm: Refinements For Dark Water Retrievals. Atm. Meas. Tech. 7, 1-19, doi:10.5194/amt-7-1-2014). These files include the RA model output in HDF5, and an associated JPG of key derived variables (e.g. Aerosol Optical Depth, Angstrom Exponent, Single Scattering Albedo, Fraction of Non-Spherical components, model uncertainty classifications and example camera views). File numbers per folder vary depending on the retrieval conditions of specific observations. RA plume retrievals are limited when cloud cover was widespread or the solar radiance was insufficient to run the RA. In these cases the RA files are not included in the individual folders. proprietary
-ICEYE.ESA.Archive_NA ICEYE ESA archive ESA STAC Catalog 2018-12-03 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2547579173-ESA.umm_json "The ICEYE ESA archive collection consists of ICEYE Level 1 products requested by ESA supported projects over their areas of interest around the world. The dataset regularly grows as ESA collects new products over the years. Three different modes are available: • Spot: with a slant resolution of 50 cm in range by 25 cm in azimuth that translated into the ground generates a ground resolution of 1 m over an area of 5 km x 5 km. Due to multi-looking, speckle noise is significantly reduced. • Strip: the ground swath is 30 x 50 km2 and the ground range resolution is 3 m. • Scan: a large area (100km x 100kmis acquired with ground resolution of 15m. Two different processing levels: • Single Look Complex (SLC): Level 1A geo-referenced product and stored in the satellite's native image acquisition geometry (the slant imaging plane) • Ground Range Detected (GRD): Level 1B product; detected, multi-looked and projected to ground range using an Earth ellipsoid model; the image coordinates are oriented along the flight direction and along the ground range; no image rotation to a map coordinate system is performed, interpolation artefacts not introduced. The following table defines the offered product types EO-SIP product type Mode Processing level XN_SM__SLC Strip Single Look Complex (SLC) - Level 1A XN_SM__GRD Strip Ground Range Detected (GRD) - Level 1B XN_SL__SLC Spot Single Look Complex (SLC) - Level 1A XN_SL__GRD Spot Ground Range Detected (GRD) - Level 1B XN_SR__GRD Scan Ground Range Detected (GRD) - Level 1B" proprietary
-ICEYE_NA ICEYE full archive and tasking ESA STAC Catalog 2018-12-03 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336914-ESA.umm_json ICEYE full archive and new tasking products are available in Strip, Spot, SLEA (Spot Extended Area) and Scan modes, Complex (SLC) and Amplitude (GRD) processing levels: - Strip instrument mode: the ground swath is illuminated with a continuous sequence of pulses while the antenna beam is fixed in its orientation. This results in a long image strip parallel to the flight direction: the transmitted pulse bandwidth is adjusted to always achieve a ground range resolution of 3 m. - Spot instrument mode: the radar beam is steered to illuminate a fixed point to increase the illumination time, resulting in an extended Synthetic aperture length, which improves the azimuth resolution. Spot mode uses a 300 MHz pulse bandwidth and provides a slant plane image with a resolution of 0.5 m (range) by 0.25 m (azimuth); when translated into the ground, the products has 1 m resolution covering an area of 5 km x 5 km. Due to multi-looking, speckle noise is significantly reduced - As an evolution of Spot mode, SLEA (Spot Extended Area) products are available with the same resolution of Spot data but a scene size of 15 km x 15 km - Scan Instrument mode: the phased array antenna is used to create multiple beams in the elevation direction which allows to acquire a large area (100km x 100km) with resolution better than 15m. To achieve the finest image quality of its Scan image, ICEYE employs a TOPSAR technique, which brings major benefits over the quality of the images obtained with conventional SCANSAR imaging. With the 2-dimensional electronic beam steering, TOPSAR ensures the maximum radar power distribution in the scene, providing uniform image quality. Two different processing levels can be requested: - Single Look Complex (SLC): Single Look Complex (SLC) Level 1a products consist of focused SAR data geo-referenced using orbit and attitude data from the satellite and the scenes are stored in the satellite's native image acquisition geometry which is the slant-range-by-azimuth imaging plane and with zero-Doppler SAR coordinates. The pixels are spaced equidistant in azimuth and in slant range. The products include a single look in each dimension using the full transmit signal bandwidth and consist of complex magnitude value samples preserving both amplitude and phase information. No radiometric artefacts induced by spatial resampling or geocoding. The product is provided in Hierarchical Data Format (HDF5) plus a xml file with selected metadata. - Ground Range Detected (GRD): Ground Range Detected (GRD) Level 1b products consist of focused SAR data that has been detected, multi-looked and projected to ground range using an Earth ellipsoid model. The image coordinates are oriented along the flight direction and along the ground range. Pixel values represent detected magnitude, the phase information is lost. The resulting product has approximately square spatial resolution pixels and square pixel spacing with reduced speckle due to the multi-look processing at the cost of worse spatial resolution. No image rotation to a map coordinate system has been performed and interpolation artefacts are thus avoided. The product is provided in GeoTiff plus a xml file with selected metadata. / Strip / Spot / Scan // Ground range resolution (GRD) / 3 m / 1 m / <15m // Ground azimuth resolution (GRD) / 3 m / 1 m / <15 m // Slant range resolution (SLC) / 0.5 - 2.5 m / 0.5 m / // Slant azimuth resolution (SLC) / 3.0 m / 0.25 m / // Scene size (W x L) / 30 x 50 km2 / 5 x 5 km2 / 100 x 100 km2 // Incident angle / 15 - 30° / 20 - 35° / 21-29° // Polarisation / VV / VV / VV // All details about the data provision, data access conditions and quota assignment procedure are described in the _$$ICEYE Terms of Applicability$$ https://earth.esa.int/eogateway/documents/20142/37627/ICEYE-Terms-Of-Applicability.pdf . In addition, ICEYE has released a _$$public catalogue$$ https://www.iceye.com/lp/iceye-18000-public-archive that contains nearly 18,000 thumbnails under a creative common license of radar images acquired with ICEYE's SAR satellite constellation all around the world from 2019 until October 2020. Access to the catalogue requires registration. proprietary
+ICEYE.ESA.Archive_8.0 ICEYE ESA archive ESA STAC Catalog 2018-12-03 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2547579173-ESA.umm_json "The ICEYE ESA archive collection consists of ICEYE Level 1 products requested by ESA supported projects over their areas of interest around the world. The dataset regularly grows as ESA collects new products over the years. Three different modes are available: • Spot: with a slant resolution of 50 cm in range by 25 cm in azimuth that translated into the ground generates a ground resolution of 1 m over an area of 5 km x 5 km. Due to multi-looking, speckle noise is significantly reduced. • Strip: the ground swath is 30 x 50 km2 and the ground range resolution is 3 m. • Scan: a large area (100km x 100kmis acquired with ground resolution of 15m. Two different processing levels: • Single Look Complex (SLC): Level 1A geo-referenced product and stored in the satellite's native image acquisition geometry (the slant imaging plane) • Ground Range Detected (GRD): Level 1B product; detected, multi-looked and projected to ground range using an Earth ellipsoid model; the image coordinates are oriented along the flight direction and along the ground range; no image rotation to a map coordinate system is performed, interpolation artefacts not introduced. The following table defines the offered product types EO-SIP product type Mode Processing level XN_SM__SLC Strip Single Look Complex (SLC) - Level 1A XN_SM__GRD Strip Ground Range Detected (GRD) - Level 1B XN_SL__SLC Spot Single Look Complex (SLC) - Level 1A XN_SL__GRD Spot Ground Range Detected (GRD) - Level 1B XN_SR__GRD Scan Ground Range Detected (GRD) - Level 1B" proprietary
+ICEYE_9.0 ICEYE full archive and tasking ESA STAC Catalog 2018-12-03 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336914-ESA.umm_json "ICEYE full archive and new tasking products are available in Strip, Spot, SLEA (Spot Extended Area), Scan, and Dwell modes: • Strip instrument mode: the ground swath is illuminated with a continuous sequence of pulses while the antenna beam is fixed in its orientation. This results in a long image strip parallel to the flight direction: the transmitted pulse bandwidth is adjusted to always achieve a ground range resolution of 3 m • Spot instrument mode: the radar beam is steered to illuminate a fixed point to increase the illumination time, resulting in an extended Synthetic aperture length, which improves the azimuth resolution. Spot mode uses a 300 MHz pulse bandwidth and provides a slant plane image with a resolution of 0.5 m (range) by 0.25 m (azimuth); when translated into the ground, the products has 1 m resolution covering an area of 5 km x 5 km. Due to multi-looking, speckle noise is significantly reduced • As an evolution of Spot mode, SLEA (Spot Extended Area) products are available with the same resolution of Spot data but a scene size of 15 km x 15 km • Scan Instrument mode: the phased array antenna is used to create multiple beams in the elevation direction which allows to acquire a large area (100km x 100km) with resolution better than 15m. To achieve the finest image quality of its Scan image, ICEYE employs a TOPSAR technique, which brings major benefits over the quality of the images obtained with conventional SCANSAR imaging. With the 2-dimensional electronic beam steering, TOPSAR ensures the maximum radar power distribution in the scene, providing uniform image quality. • Dwell mode: with the satellite staring at the same location for up to 25 seconds, Dwell mode is a very long Spot mode SAR collection. This yields a very fine azimuth resolution and highly-reduced speckle. The 25 second collection time allows the acquired image stack to be reconstructed as a video to give insight into the movement of objects. Two different processing levels can be requested: • Single Look Complex (SLC): Single Look Complex (SLC) Level 1a products consist of focused SAR data geo-referenced using orbit and attitude data from the satellite and the scenes are stored in the satellite's native image acquisition geometry which is the slant-range-by-azimuth imaging plane and with zero-Doppler SAR coordinates. The pixels are spaced equidistant in azimuth and in slant range. The products include a single look in each dimension using the full transmit signal bandwidth and consist of complex magnitude value samples preserving both amplitude and phase information. No radiometric artefacts induced by spatial resampling or geocoding. The product is provided in Hierarchical Data Format (HDF5) plus a xml file with selected metadata • Ground Range Detected (GRD): Ground Range Detected (GRD) Level 1b products consist of focused SAR data that has been detected, multi-looked and projected to ground range using an Earth ellipsoid model. The image coordinates are oriented along the flight direction and along the ground range. Pixel values represent detected magnitude, the phase information is lost. The resulting product has approximately square spatial resolution pixels and square pixel spacing with reduced speckle due to the multi-look processing at the cost of worse spatial resolution. No image rotation to a map coordinate system has been performed and interpolation artefacts are thus avoided. The product is provided in GeoTiff plus a xml file with selected metadata. Strip Spot SLEA Scan Dwell Ground range resolution (GRD) 3 m 1 m 1 m 15 m 1 m Ground azimuth resolution (GRD) 3 m 1 m 1 m 15 m 1 m Slant range resolution (SLC) 0.5 m - 2.5 m 0.5 m 0.5 m 0.5 m Slant azimuth resolution (SLC) 3 m 0.25 m 1 m 0.05 m Scene size (W x L) 30 x 50 km2 5 x 5 km2 15 x 15 km2 100 x 100 km2 5 x 5 km2 Incident angle 15 - 30° 20 - 35° 20 - 35° 21 - 29° 20 - 35° Polarisation VV All details about the data provision, data access conditions and quota assignment procedure are described in the _$$ICEYE Terms of Applicability$$ https://earth.esa.int/eogateway/documents/20142/37627/ICEYE-Terms-Of-Applicability.pdf . In addition, ICEYE has released a _$$public catalogue$$ https://www.iceye.com/lp/iceye-18000-public-archive that contains nearly 18,000 thumbnails under a creative common license of radar images acquired with ICEYE's SAR satellite constellation all around the world from 2019 until October 2020. Access to the catalogue requires registration." proprietary
ICE_RADAR_DATA_AMERY_1 Ice Radar Data collected 2002 Amery Ice Shelf AU_AADC STAC Catalog 2002-10-01 2002-11-01 68.18703, -70.7908, 77.95972, -68.57 https://cmr.earthdata.nasa.gov/search/concepts/C1214313551-AU_AADC.umm_json This data contains ASCII lat/long records extracted from the binary data. The binary data are ice radar soundings at 150 MHz from Aircraft flown at about 100 knots. This covers the area around Gillock Island to look at the grounding zone between the ice shelf and Gillock Island. The Radar unit was built by the Science and Technical Support group of the Australian Antarctic Division. This data are part of the Australian Antarctica and Southern Ocean Profiling Project (AASOPP) for continental mapping of the Australian continent (Geoscience Australia). See also the other metadata record for ice radar data. The files in this dataset are: ASCII lat/long records: Record Time (UTC) Latitude Longitude proprietary
ICE_RADAR_DATA_GILLOCK_1 Ice Radar Data collected 2002 Gillock Island AU_AADC STAC Catalog 2002-10-01 2002-11-01 68.18703, -70.7908, 77.95972, -68.57 https://cmr.earthdata.nasa.gov/search/concepts/C1214313564-AU_AADC.umm_json This data contains ASCII lat/long records extracted from the binary data. The binary data are ice radar soundings at 150 MHz from Aircraft flown at about 100 knots. This covers the area around Gillock Island to look at the grounding zone between the ice shelf and Gillock Island. The Radar unit was built by the Science and Technical Support group of the Australian Antarctic Division. This data are part of the Australian Antarctica and Southern Ocean Profiling Project (AASOPP) for continental mapping of the Australian continent (Geoscience Australia). See also the other metadata record for ice radar data. The files in this dataset are: ASCII lat/long records: Record Time (UTC) Latitude Longitude proprietary
ICE_RADAR_DATA_PRIORITY_1 Ice Radar Data collected 2002 - Priority Flights AU_AADC STAC Catalog 2002-10-01 2002-11-01 68.18703, -70.7908, 77.95972, -68.57 https://cmr.earthdata.nasa.gov/search/concepts/C1214313565-AU_AADC.umm_json The data contains ASCII lat/long records extracted from the binary data. The binary data are ice radar soundings at 150 MHz from Aircraft flown at about 100 knots. This covers the priority flights in the Amery Ice Shelf area to look at the grounding zone between the ice shelf and Gillock Island. The Radar unit was built by the Science and Technical Support group of the Australian Antarctic Division. This data are part of the Australian Antarctica and Southern Ocean Profiling Project (AASOPP) for continental mapping of the Australian continent. See also the other metadata record for ice radar data. The files in this dataset are: ASCII lat/long records: Record Time (UTC) Latitude Longitude proprietary
@@ -6885,7 +6891,7 @@ IGGRV1B_1 IceBridge Sander AIRGrav L1B Geolocated Free Air Gravity Anomalies V00
IGLGS1B_1 IceBridge LDEO Gravimeter Suite L1B Geolocated Free Air Gravity Anomalies V001 NSIDC_ECS STAC Catalog 2017-03-22 2019-11-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1528228607-NSIDC_ECS.umm_json This data set contains gravity measurements taken over Greenland and Antarctica by the Lamont-Doherty Earth Observatory (LDEO) Gravimeter Suite. The data were collected as part of Operation IceBridge funded campaigns. proprietary
IGZLS1B_1 IceBridge ZLS Dynamic Gravity Meter Time-Registered L1B Vertical Accelerations V001 NSIDC_ECS STAC Catalog 2011-11-29 2011-12-21 -180, -90, 180, -53 https://cmr.earthdata.nasa.gov/search/concepts/C1000000340-NSIDC_ECS.umm_json This data set contains vertical, cross body, and along body acceleration values for geophysical survey flights in Antarctica using the ZLS Dynamic Gravity Meter. The data were collected by scientists working on the International Collaborative Exploration of the Cryosphere through Airborne Profiling (ICECAP) project, which was funded by the National Science Foundation (NSF), the Antarctic Climate and Ecosystems Collaborative Research Center, and the Natural Environment Research Council (NERC) with additional support from NASA Operation IceBridge. proprietary
IHIS2684_1 Casey EPH Fuel Tank Supply Line Leak - Soil samples for TPH analysis AU_AADC STAC Catalog 2012-02-13 2012-03-20 110.525, -66.285, 110.531, -66.28 https://cmr.earthdata.nasa.gov/search/concepts/C1214311145-AU_AADC.umm_json The dataset contains a list of the location of sixteen soil samples taken from the vicinity of the Casey EPH fuel tank on the 13/02/2012 and 20/03/2012. Soil samples were taken for Total Petroleum Hydrocarbon (TPH) analysis and will be submitted to Analytical Services Tasmania for said analysis. The investigation is related to a leak detected from the threaded unions on the Casey EPH fuel tank supply line (refer to IHIS incident report 2684). Samples 100114 - 100120 were taken at selected locations within the recognisable spill area and down-gradient of the site on the 13/02/2012 by Dan Wilkins (Scientific Officer, Terrestrial and Nearshore Ecosystems, Science Branch.) Samples 99319-99332 were taken from a 5 m grid sampling pattern on the 20/03/2012 by Johan Mets (Plant Operator), acting under the direction of Dan Wilkins. Frozen conditions prevented samples being obtained from recommended depths (i.e. under the road base). Fields in the dataset: STD: Sample Tracking Database number (unique identifier) Easting: Easting (UTM 49S) Northing: Northing (UTM 49S) Sample Depth: Depth of sample beneath soil surface (where recorded) Comment: Comment on location of sample and any observation about hydrocarbon Sample Date: Date of sample collection in dd/mm/yyyy format Sampler: Name of sample collector proprietary
-IKONOS.ESA.archive_NA IKONOS ESA archive ESA STAC Catalog 2000-12-25 2008-12-09 -8, -9, 75, 65 https://cmr.earthdata.nasa.gov/search/concepts/C1532648147-ESA.umm_json ESA maintains an archive of IKONOS Geo Ortho Kit data previously requested through the TPM scheme and acquired between 2000 and 2008, over Europe, North Africa and the Middle East. The imagery products gathered from IKONOS are categorised according to positional accuracy, which is determined by the reliability of an object in the image to be within the specified accuracy of the actual location of the object on the ground. Within each IKONOS-derived product, location error is defined by a circular error at 90% confidence (CE90), which means that locations of objects are represented on the image within the stated accuracy 90% of the time. There are six levels of IKONOS imagery products, determined by the level of positional accuracy: Geo, Standard Ortho, Reference, Pro, Precision and PrecisionPlus. The product provided by ESA to Category-1 users is the Geo Ortho Kit, consisting of IKONOS Black-and-White images with radiometric and geometric corrections (1-metre pixels, CE90=15 metres) bundled with IKONOS multispectral images with absolute radiometry (4-metre pixels, CE90=50 metres). IKONOS collects 1m and 4m Geo Ortho Kit imagery (nominally at nadir 0.82m for panchromatic image, 3.28m for multispectral mode) at an elevation angle between 60 and 90 degrees. To increase the positional accuracy of the final orthorectified imagery, customers should select imagery with IKONOS elevation angle between 72 and 90 degrees. The Geo Ortho Kit is tailored for sophisticated users such as photogrammetrists who want to control the orthorectification process. Geo Ortho Kit images include the camera geometry obtained at the time of image collection. Applying Geo Ortho Kit imagery, customers can produce their own highly accurate orthorectified products by using commercial off the shelf software, digital elevation models (DEMs) and optional ground control. Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/smcat/IKONOS2/ available on the Third Party Missions Dissemination Service. proprietary
+IKONOS.ESA.archive_9.0 IKONOS ESA archive ESA STAC Catalog 2000-12-25 2008-12-09 -8, -9, 75, 65 https://cmr.earthdata.nasa.gov/search/concepts/C1532648147-ESA.umm_json ESA maintains an archive of IKONOS Geo Ortho Kit data previously requested through the TPM scheme and acquired between 2000 and 2008, over Europe, North Africa and the Middle East. The imagery products gathered from IKONOS are categorised according to positional accuracy, which is determined by the reliability of an object in the image to be within the specified accuracy of the actual location of the object on the ground. Within each IKONOS-derived product, location error is defined by a circular error at 90% confidence (CE90), which means that locations of objects are represented on the image within the stated accuracy 90% of the time. There are six levels of IKONOS imagery products, determined by the level of positional accuracy: Geo, Standard Ortho, Reference, Pro, Precision and PrecisionPlus. The product provided by ESA to Category-1 users is the Geo Ortho Kit, consisting of IKONOS Black-and-White images with radiometric and geometric corrections (1-metre pixels, CE90=15 metres) bundled with IKONOS multispectral images with absolute radiometry (4-metre pixels, CE90=50 metres). IKONOS collects 1m and 4m Geo Ortho Kit imagery (nominally at nadir 0.82m for panchromatic image, 3.28m for multispectral mode) at an elevation angle between 60 and 90 degrees. To increase the positional accuracy of the final orthorectified imagery, customers should select imagery with IKONOS elevation angle between 72 and 90 degrees. The Geo Ortho Kit is tailored for sophisticated users such as photogrammetrists who want to control the orthorectification process. Geo Ortho Kit images include the camera geometry obtained at the time of image collection. Applying Geo Ortho Kit imagery, customers can produce their own highly accurate orthorectified products by using commercial off the shelf software, digital elevation models (DEMs) and optional ground control. Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/smcat/IKONOS2/ available on the Third Party Missions Dissemination Service. proprietary
IKONOS_MSI_L1B_1 IKONOS Level 1B Multispectral 4-Band Satellite Imagery CSDA STAC Catalog 1999-10-14 2015-03-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2497453433-CSDA.umm_json The IKONOS Level 1B Multispectral 4-Band Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery was collected by the IKONOS satellite using the Optical Sensor Assembly instrument across the global land surface from October 1999 to March 2015. This satellite imagery is in the visible and near-infrared waveband range with data in the blue, green, red, and near-infrared wavelengths. The spatial resolution is 3.2m at nadir and the temporal resolution is approximately 3 days. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program. proprietary
IKONOS_Pan_L1B_1 IKONOS Level 1B Panchromatic Satellite Imagery CSDA STAC Catalog 1999-10-24 2015-03-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2497468825-CSDA.umm_json The IKONOS Panchromatic Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery was collected by the IKONOS satellite using the Optical Sensor Assembly instrument across the global land surface from October 1999 to March 2015. This data product includes panchromatic imagery with a spatial resolution of 0.82m at nadir and a temporal resolution of approximately 3 days. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program. proprietary
ILAKP1B_1 IceBridge UAF Lidar Profiler L1B Geolocated Surface Elevation Triplets V001 NSIDC_ECS STAC Catalog 2009-05-22 2009-06-02 -137.52667, 56.94611, -132.32944, 59.3 https://cmr.earthdata.nasa.gov/search/concepts/C1000001040-NSIDC_ECS.umm_json This data set contains surface profiles of Alaska Glaciers acquired using the airborne University of Alaska Fairbanks (UAF) Glacier Lidar system. The data were collected as part of Operation IceBridge funded aircraft survey campaigns. proprietary
@@ -6992,8 +6998,8 @@ IRMCR1B_2 IceBridge MCoRDS L1B Geolocated Radar Echo Strength Profiles V002 NSID
IRMCR2_1 IceBridge MCoRDS L2 Ice Thickness V001 NSIDC_ECS STAC Catalog 2009-10-16 2019-11-20 -180, -90, 180, 83.1 https://cmr.earthdata.nasa.gov/search/concepts/C190688210-NSIDC_ECS.umm_json This data set contains depth sounder measurements of ice elevation, ice surface, ice bottom, and ice thickness for Greenland and Antarctica taken from the Multichannel Coherent Radar Depth Sounder (MCoRDS). The data were collected as part of Operation IceBridge funded aircraft survey campaigns. proprietary
IRMCR3_2 IceBridge MCoRDS L3 Gridded Ice Thickness, Surface, and Bottom V002 NSIDC_ECS STAC Catalog 2006-01-01 2012-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1426298063-NSIDC_ECS.umm_json This data set contains products from depth sounder measurements over Greenland and Antarctica taken from the Multichannel Coherent Radar Depth Sounder (MCoRDS). The data were collected as part of NASA Operation IceBridge funded campaigns. Browse files for this data set are duplicates for the thickness PNG files. proprietary
IRPAR2_1 IceBridge PARIS L2 Ice Thickness V001 NSIDC_ECS STAC Catalog 2009-04-01 2009-05-02 -73, 60, -11, 84 https://cmr.earthdata.nasa.gov/search/concepts/C187355521-NSIDC_ECS.umm_json This data set contains contains Greenland ice thickness measurements acquired using the Pathfinder Advanced Radar Ice Sounder (PARIS).The data were collected as part of Operation IceBridge funded campaigns. proprietary
-IRS-1.archive_NA IRS-1C/1D European coverage ESA STAC Catalog 1996-06-25 2004-10-28 -20, -25, 50, 75 https://cmr.earthdata.nasa.gov/search/concepts/C1965336915-ESA.umm_json IRS-1C/1D dataset is composed of products generated by the Indian Remote Sensing (IRS) Satellites 1C/1D PAN sensor. The products, acquired from 1996 to 2004 over Europe, are radiometrically and ortho corrected level 1 black and white images at 5 metre resolution and cover an area of up to 70 x 70 km. Sensor: PAN Type: Panchromatic Resolution (m): 5 Coverage (km x km): 70 x 70 System or radiometrically corrected Ortho corrected (DN) Acquisition in Neustrelitz: 1996 - 2004 5 70 x 70 X X Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/smcat/IRS1/ available on the Third Party Missions Dissemination Service. proprietary
-IRS-1C_1D.Full.archive_NA IRS-1C/1D Full archive ESA STAC Catalog 1996-01-01 2009-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689471-ESA.umm_json The following products are available • PAN: Panchromatic, resolution 5 m, Coverage 70 km x 70 km, radiometrically and ortho (DN) corrected, • LISS-III: Multi-spectral, resolution 25 m, Coverage 140 km x 140 km, radiometrically and ortho (DN) corrected (ortho delivered without Band 5) • WiFS: Multi-spectral, resolution 180 m, Coverage 800 km x 800 km, radiometrically and ortho (DN) corrected Sensor: PAN, Type: Panchromatic, Resolution (m): 5, Coverage (km x km): 70 x 70, System or radiometrically corrected, Ortho corrected (DN), Global archive: 1996 – 2007 (IRS-1C) and 1998 – 2009 (IRS-1D) Sensor: LISS-III, Type: Multi-spectral, Resolution (m): 25, Coverage (km x km): 140 x 140, System or radiometrically corrected, Ortho corrected (DN) (without band 5), Global archive: 1996 – 2007 (IRS-1C) and 1998 – 2009 (IRS-1D) Sensor: WiFS, Type: Multi-spectral, Resolution (m): 180, Coverage (km x km): 800 x 800, System or radiometrically corrected, Ortho corrected (DN), Global archive: 1996 – 2007 (IRS-1C) and 1998 – 2009 (IRS-1D) Note: • Whether system corrected or radiometrically corrected products are available depends on sensor and processing centre • For PAN and LISS-III ortho corrected: If unavailable, user has to supply ground control information and DEM in suitable quality • For WiFS ortho corrected: service based on in house available ground control information and DEM The products are available as part of the GAF Imagery products from the Indian missions: IRS-1C, IRS-1D, CartoSat-1 (IRS-P5), ResourceSat-1 (IRS-P6) and ResourceSat-2 (IRS-R2) missions. 'IRS-1C/1D Full archive' collection has worldwide coverage: data can be requested by contacting GAF user support to check the readiness since no catalogue is not available. All details about the data provision, data access conditions and quota assignment procedure are described in the Terms of Applicability (https://earth.esa.int/eogateway/documents/20142/37627/Indian-Data-Terms-Of-Applicability.pdf). proprietary
+IRS-1.archive_5.0 IRS-1C/1D European coverage ESA STAC Catalog 1996-06-25 2004-10-28 -20, -25, 50, 75 https://cmr.earthdata.nasa.gov/search/concepts/C1965336915-ESA.umm_json IRS-1C/1D dataset is composed of products generated by the Indian Remote Sensing (IRS) Satellites 1C/1D PAN sensor. The products, acquired from 1996 to 2004 over Europe, are radiometrically and ortho corrected level 1 black and white images at 5 metre resolution and cover an area of up to 70 x 70 km. Sensor: PAN Type: Panchromatic Resolution (m): 5 Coverage (km x km): 70 x 70 System or radiometrically corrected Ortho corrected (DN) Acquisition in Neustrelitz: 1996 - 2004 5 70 x 70 X X Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/smcat/IRS1/ available on the Third Party Missions Dissemination Service. proprietary
+IRS-1C_1D.Full.archive_5.0 IRS-1C/1D Full archive ESA STAC Catalog 1996-01-01 2009-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689471-ESA.umm_json The following products are available • PAN: Panchromatic, resolution 5 m, Coverage 70 km x 70 km, radiometrically and ortho (DN) corrected, • LISS-III: Multi-spectral, resolution 25 m, Coverage 140 km x 140 km, radiometrically and ortho (DN) corrected (ortho delivered without Band 5) • WiFS: Multi-spectral, resolution 180 m, Coverage 800 km x 800 km, radiometrically and ortho (DN) corrected Sensor: PAN, Type: Panchromatic, Resolution (m): 5, Coverage (km x km): 70 x 70, System or radiometrically corrected, Ortho corrected (DN), Global archive: 1996 – 2007 (IRS-1C) and 1998 – 2009 (IRS-1D) Sensor: LISS-III, Type: Multi-spectral, Resolution (m): 25, Coverage (km x km): 140 x 140, System or radiometrically corrected, Ortho corrected (DN) (without band 5), Global archive: 1996 – 2007 (IRS-1C) and 1998 – 2009 (IRS-1D) Sensor: WiFS, Type: Multi-spectral, Resolution (m): 180, Coverage (km x km): 800 x 800, System or radiometrically corrected, Ortho corrected (DN), Global archive: 1996 – 2007 (IRS-1C) and 1998 – 2009 (IRS-1D) Note: • Whether system corrected or radiometrically corrected products are available depends on sensor and processing centre • For PAN and LISS-III ortho corrected: If unavailable, user has to supply ground control information and DEM in suitable quality • For WiFS ortho corrected: service based on in house available ground control information and DEM The products are available as part of the GAF Imagery products from the Indian missions: IRS-1C, IRS-1D, CartoSat-1 (IRS-P5), ResourceSat-1 (IRS-P6) and ResourceSat-2 (IRS-R2) missions. 'IRS-1C/1D Full archive' collection has worldwide coverage: data can be requested by contacting GAF user support to check the readiness since no catalogue is not available. All details about the data provision, data access conditions and quota assignment procedure are described in the Terms of Applicability (https://earth.esa.int/eogateway/documents/20142/37627/Indian-Data-Terms-Of-Applicability.pdf). proprietary
IRSNO1B_2 IceBridge Snow Radar L1B Geolocated Radar Echo Strength Profiles V002 NSIDC_ECS STAC Catalog 2009-03-31 2021-05-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000000180-NSIDC_ECS.umm_json This data set contains radar echograms taken from the Center for Remote Sensing of Ice Sheets (CReSIS) ultra wide-band snow radar over land and sea ice in the Arctic and Antarctic. In addition, airborne snow measurements were taken during 10 flights over Alaska mountains, ice fields, and glaciers at the end of May 2018 by a compact CReSIS FMCW radar system installed on a Single Otter aircraft. The data were collected as part of Operation IceBridge funded campaigns. proprietary
IRTIT3_2 IceBridge Radar L3 Tomographic Ice Thickness V002 NSIDC_ECS STAC Catalog 2010-11-20 2013-04-20 -180, -90, 180, 83 https://cmr.earthdata.nasa.gov/search/concepts/C1586132466-NSIDC_ECS.umm_json This data set contains Level-3 tomographic ice thickness measurements and ice thickness errors over areas of Greenland and Antarctica. Two of the data files additionally provide bed elevation measurements. The data were derived from measurements taken by the Center for Remote Sensing of Ice Sheets (CReSIS) Multichannel Coherent Radar Depth Sounder (MCoRDS) instrument and were collected as part of NASA Operation IceBridge funded campaigns. proprietary
IRUAFHF1B_1 IceBridge UAF L1B HF Geolocated Radar Echo Strength Profiles V001 NSIDC_ECS STAC Catalog 2013-03-22 2016-08-16 -157, 56, -129, 63 https://cmr.earthdata.nasa.gov/search/concepts/C2027966332-NSIDC_ECS.umm_json This data set contains radar echograms acquired by the University of Alaska Fairbanks High-Frequency Radar Sounder over select glaciers in Alaska. The data are provided in HDF5 formatted files, which include important metadata for interpreting the data. Browse images are also available. proprietary
@@ -7025,8 +7031,8 @@ IZIKO_Fish iziko South African Museum - Fish Collection CEOS_EXTRA STAC Catalog
IZIKO_Marine_Mammals iziko South African Museum - Marine Mammals Collection CEOS_EXTRA STAC Catalog 1880-10-14 1998-01-08 -170.47888, -70.16666, 174.5, 63.69417 https://cmr.earthdata.nasa.gov/search/concepts/C2232477689-CEOS_EXTRA.umm_json The iziko South African Museum has a comprehensive collection of cetacean and Cape fur seal skeletal material. Skeletal material from other marine mammals is also held. Part of this collection is on exhibition in the museum's Whale Well. It currently contains 14484 records of 46 families. proprietary
IceMargin_79E-108E_1 Margin of the Antarctic ice cover derived from Synthetic Aperture Radar images for the sector 79E-108E AU_AADC STAC Catalog 1993-08-01 1997-10-31 79, -68, 108, -64 https://cmr.earthdata.nasa.gov/search/concepts/C1214313552-AU_AADC.umm_json Geographic location of the outer margin of the Antarctic ice cover for the sector between longitudes 79E and 108E, including margins of ice shelves, glaciers, and iceberg tongues. The data set does not in general include the grounding zone at the inland margin of the ice shelves or glaciers. The margin was defined by interpretation of an image mosaic generated from Synthetic Aperture Radar data. The image mosaic was built using navigation data accompanying the SAR images to transform the images to a map projection. The image navigation data were adjusted so that overlapping images were registered to one another, the indivual images merged into a mosaic, and the overall process adjusted so that the mosaic was tied to the few ground control points available in this large sector. Two separate mosaics were used to span the whole sector. The majority of the SAR data were acquired by the ERS-SAR instruments in August 1996, some ERS data were acquired in August 1993, and one Radarsat scene was acquired in September 1997. The data were pre-processed to produce a mosaic with a 100 m pixel size, and adjusted so that the majority of the coastline positions refer to the August 1996 epoch. The location data are internally consistent, and extracted at nominally 200 m intervals. The external position accuracy is generally better than 600 m. The coverage is complete over the whole sector. The coordinate set includes some island/ice rise features. Two very large grounded icebergs are included. Data are in an ascii arc/info export file format as geographic coordinates on the ITRF1996 system and contains attribute information. ERS-SAR data, copyright ESA, 1993, 1996 Radarsat data, copyright Canadian Space Agency, Agence spatiale canadienne, 1997. This work was completed as part of ASAC projects 454, 1125 and 2224 (ASAC_454, ASAC_1125 and ASAC_2224). proprietary
Idaho_field_shrub_data_1503_1 Shrubland Species Cover, Biometric, Carbon and Nitrogen Data, Southern Idaho, 2014 ORNL_CLOUD STAC Catalog 2014-09-16 2014-10-17 -116.8, 42.3, -114.69, 43.21 https://cmr.earthdata.nasa.gov/search/concepts/C2767495334-ORNL_CLOUD.umm_json This dataset provides the results of the characterization of shrubland vegetation at two study areas in southern Idaho, USA: the Reynolds Creek Experimental Watershed (RCEW) and Hollister. Data were collected in September and October 2014. In each study area, several 10-m x 10-m plots were randomly established that are representative of the local dominant vegetation types. Measurements are reported for both plot and individual shrub attributes. Plot measurements include shrub density and biometric data, percent shrub cover derived from line intercept transects, percent plant species and bare ground cover derived from photo analysis, and average LAI. Measurements for selected individual shrubs include height, width, length, number of stems, and LAI. Leaf samples were collected for determining LAI, specific leaf area (SLA), carbon and nitrogen concentrations, and isotopic nitrogen and carbon. proprietary
-Image2006_NA Image 2006 European coverage ESA STAC Catalog 2005-02-03 2007-11-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336916-ESA.umm_json Image 2006 collection is a SPOT-4, SPOT-5 and ResourceSat-1 (also known as IRS-P6) cloud free coverage over 38 European countries in 2006 (from February 2005 to November 2007). The Level 1 data provided in this collection originate from the SPOT-4 HRVIR instrument (with 20m spatial resolution), from SPOT-5 HRG (with 10m spatial resolution resampled to 20m) and IRS-P6 LISS III (with 23m spatial resolution), each with four spectral bands. The swath is of about 60 km for the SPOT satellites and 140 km for the IRS-P6 satellite. In addition to the Level 1, the collection provides the same data geometrically corrected towards a European Map Projection with 25m resolution. Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/smcat/Image2006/ available on the Third Party Missions Dissemination Service. proprietary
-Image2007_NA Image 2007 European coverage ESA STAC Catalog 2007-04-07 2007-10-09 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336917-ESA.umm_json The Image 2007 collection is composed by products acquired by Disaster Monitoring Constellation 1st generation (DMC-1) satellites over European countries (plus Turkey) in 2007. The data provided in this collection are 32m multispectral images captured by the DMC SLIM-6 imager sensor, with two processing levels: • L1R Band registered product derived from the L0R product • L1T Orthorectified product derived from the L1R product using manually collected GCPs from Landsat ETM+ data and SRTM DEM V31 data Data disseminated come from the following satellites belonging to DMC-1 constellation: • UK-DMC-1 • Bejing-1 • NigeriaSat-1 Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/smcat/Image2007/ available on the Third Party Missions Dissemination Service. proprietary
+Image2006_8.0 Image 2006 European coverage ESA STAC Catalog 2005-02-03 2007-11-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336916-ESA.umm_json Image 2006 collection is a SPOT-4, SPOT-5 and ResourceSat-1 (also known as IRS-P6) cloud free coverage over 38 European countries in 2006 (from February 2005 to November 2007). The Level 1 data provided in this collection originate from the SPOT-4 HRVIR instrument (with 20m spatial resolution), from SPOT-5 HRG (with 10m spatial resolution resampled to 20m) and IRS-P6 LISS III (with 23m spatial resolution), each with four spectral bands. The swath is of about 60 km for the SPOT satellites and 140 km for the IRS-P6 satellite. In addition to the Level 1, the collection provides the same data geometrically corrected towards a European Map Projection with 25m resolution. Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/smcat/Image2006/ available on the Third Party Missions Dissemination Service. proprietary
+Image2007_8.0 Image 2007 European coverage ESA STAC Catalog 2007-04-07 2007-10-09 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336917-ESA.umm_json The Image 2007 collection is composed by products acquired by Disaster Monitoring Constellation 1st generation (DMC-1) satellites over European countries (plus Turkey) in 2007. The data provided in this collection are 32m multispectral images captured by the DMC SLIM-6 imager sensor, with two processing levels: • L1R Band registered product derived from the L0R product • L1T Orthorectified product derived from the L1R product using manually collected GCPs from Landsat ETM+ data and SRTM DEM V31 data Data disseminated come from the following satellites belonging to DMC-1 constellation: • UK-DMC-1 • Bejing-1 • NigeriaSat-1 Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/smcat/Image2007/ available on the Third Party Missions Dissemination Service. proprietary
Imnavait_Creek_Veg_Maps_1385_1 Maps of Vegetation Types and Physiographic Features, Imnavait Creek, Alaska ORNL_CLOUD STAC Catalog 1970-06-01 2015-08-31 -149.38, 68.61, -149.26, 68.63 https://cmr.earthdata.nasa.gov/search/concepts/C2162118945-ORNL_CLOUD.umm_json This dataset provides the spatial distribution of vegetation types, soil carbon, and physiographic features in the Imnavait Creek area, Alaska. Specific attributes include vegetation, percent water, glacial geology, soil carbon, a digital elevation model (DEM), surficial geology and surficial geomorphology. Data are also provided on the research grids for georeferencing. The map data are from a variety of sources and encompass the period 1970-06-01 to 2015-08-31. proprietary
Imnavait_Creek_Veg_Plots_1356_1 Arctic Vegetation Plots at Imnavait Creek, Alaska, 1984-1985 ORNL_CLOUD STAC Catalog 1984-08-01 1985-09-01 -149.32, 68.6, -149.23, 68.62 https://cmr.earthdata.nasa.gov/search/concepts/C2170969535-ORNL_CLOUD.umm_json This dataset provides environmental, soil, and vegetation data collected during the periods of August 1984 and August-September 1985 from 84 study plots at the Imnavait Creek research site. Imnavait Creek is located in a shallow basin at the foothills of the central Brooks Range. Data includes the baseline plot information for vegetation, soils, and site factors for the study plots subjectively located in 14 plant communities that occur in 19 broad habitat types across the glaciated landscape. Specific attributes include: dominant vegetation species, cover, indices, and biomass pools; soil chemistry, physical characteristics, moisture, and organic matter. This product brings together for easy reference all the available information collected from the plots that has been used for the classification, mapping, and analysis of geo-botanical factors in the Imnavait Creek region and across Alaska. proprietary
InSAR_Prudhoe_Bay_1267_1 Pre-ABoVE: Remotely Sensed Active Layer Thickness, Prudhoe Bay, Alaska, 1992-2000 ORNL_CLOUD STAC Catalog 1992-01-01 2000-12-31 -149.5, 69.95, -146.99, 70.45 https://cmr.earthdata.nasa.gov/search/concepts/C2170968546-ORNL_CLOUD.umm_json Active layer thickness (ALT) is a critical parameter for monitoring the status of permafrost that is typically measured at specific locations using probing, in situ temperature sensors, or other ground-based observations. The thickness of the active layer is the average annual thaw depth, in permafrost areas, due to solar heating of the surface. This data set includes the mean Remotely Sensed Active Layer Thickness (ReSALT) over years 1992 to 2000 for an area near Prudhoe Bay, Alaska. The data were produced by an Interferometric Synthetic Aperture Radar (InSAR) technique that measures seasonal surface subsidence and infers ALT. ReSALT estimates were validated by comparison with ground-based ALT measurements at multiple sites. These results indicate remote sensing techniques based on InSAR could be an effective way to measure and monitor ALT over large areas on the Arctic coastal plain.These data provide gridded (100-m) estimates of active layer thickness (cm; ALT), seasonal subsidence (cm) and subsidence trend (mm/yr), as well as calculated uncertainty in each of these parameters. This data set was developed in support of NASA's Arctic-Boreal Vulnerability Experiment (ABoVE) field campaign.The data are presented in one netCDF (*.nc) file. proprietary
@@ -7080,10 +7086,13 @@ JASON_CS_S6A_L2_AMR_RAD_NTC_F08_UNVALIDATED_F08 Sentinel-6A MF Jason-CS L2 Advan
JASON_CS_S6A_L2_AMR_RAD_STC_F Sentinel-6A MF Jason-CS L2 Advanced Microwave Radiometer (AMR-C) STC Geophysical Parameters POCLOUD STAC Catalog 2020-12-06 -180, -66.15, 180, 66.15 https://cmr.earthdata.nasa.gov/search/concepts/C1968979762-POCLOUD.umm_json Provides L2 short time critical (STC; 36-hour latency) geophysical information from the Advanced Microwave Radiometer on the Sentinel-6A Michael Freilich spacecraft including surface type, wind speed, water vapor, brightness temperature, sigma0, wet troposphere, and associated quality flags. The data are interpolated to intervals that correspond to altimetry measurements from the Poseidon-4 SAR to supply the geophysical and environmental corrections for altimetry. The S6A STC product is analogous to the Jason-3 IGDR product. proprietary
JASON_CS_S6A_L3_ALT_HR_OST_NTC_F08_F08 Sentinel-6A MF Jason-CS L3 P4 Altimeter High Resolution (HR) NTC Ocean Surface Topography (Unfiltered) Version F08 POCLOUD STAC Catalog 2020-11-30 -180, -66.15, 180, 66.15 https://cmr.earthdata.nasa.gov/search/concepts/C2627806996-POCLOUD.umm_json Provides L3 high resolution (HR) non-time critical (NTC; 60-day latency) altimetry from the Poseidon-4 SAR altimeter on the Sentinel-6A Michael Freilich spacecraft, which includes the unfiltered geophysical sea-state parameters that have been spatially and/or temporally resampled or corrected, including potential averaging over multiple orbits. The S6A NTC product is analogous to the Jason-3 GDR product. proprietary
JASON_CS_S6A_L3_ALT_LR_OST_NTC_F08_F08 Sentinel-6A MF Jason-CS L3 P4 Altimeter High Resolution (LR) NTC Ocean Surface Topography (Unfiltered) Version F08 POCLOUD STAC Catalog 2020-11-30 -180, -66.15, 180, 66.15 https://cmr.earthdata.nasa.gov/search/concepts/C2627807006-POCLOUD.umm_json Provides L3 low resolution (LR) non-time critical (NTC; 60-day latency) altimetry from the Poseidon-4 SAR altimeter on the Sentinel-6A Michael Freilich spacecraft, which includes the unfiltered geophysical sea-state parameters that have been spatially and/or temporally resampled or corrected, including potential averaging over multiple orbits. The S6A NTC product is analogous to the Jason-3 GDR product. proprietary
+JAXAL2InstChecked_4.0 EarthCARE JAXA L2 Products for Cal/Val Users ESA STAC Catalog 2024-05-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3325394877-ESA.umm_json This EarthCARE collection is restricted, and contains the following data products: · Level 2a: Single-Instrument Geophysical Products These products are derived from individual instrument data onboard EarthCARE. They provide detailed geophysical parameters and properties specific to each instrument's capabilities for example cloud and aerosol properties derived solely from radar or lidar measurements, offering high-resolution insights into atmospheric phenomena. · Level 2b: Synergistic Geophysical Products Level 2b products leverage data from multiple EarthCARE instruments to generate comprehensive, synergistic geophysical datasets. By combining measurements from instruments like radar, lidar, and radiometers, these products offer a more integrated view of cloud-aerosol interactions and atmospheric dynamics. Synergistic products provide enhanced accuracy and depth compared to single-instrument outputs, enabling detailed studies of complex atmospheric processes. proprietary
+JAXAL2Products_5.0 EarthCARE JAXA L2 Products for the Commissioning Team ESA STAC Catalog 2024-05-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3325393702-ESA.umm_json This EarthCARE collection contains the following data products: Level 2a: Single-Instrument Geophysical Products These products are derived from individual instrument data onboard EarthCARE. They provide detailed geophysical parameters and properties specific to each instrument's capabilities for example cloud and aerosol properties derived solely from radar or lidar measurements, offering high-resolution insights into atmospheric phenomena. Level 2b: Synergistic Geophysical Products Level 2b products leverage data from multiple EarthCARE instruments to generate comprehensive, synergistic geophysical datasets. By combining measurements from instruments like radar, lidar, and radiometers, these products offer a more integrated view of cloud-aerosol interactions and atmospheric dynamics. Synergistic products provide enhanced accuracy and depth compared to single-instrument outputs, enabling detailed studies of complex atmospheric processes. proprietary
+JAXAL2Validated_3.0 EarthCARE JAXA L2 Products ESA STAC Catalog 2024-05-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3325393729-ESA.umm_json This EarthCARE collection contains the following data products: Level 2a: Single-Instrument Geophysical Products These products are derived from individual instrument data onboard EarthCARE. They provide detailed geophysical parameters and properties specific to each instrument's capabilities for example cloud and aerosol properties derived solely from radar or lidar measurements, offering high-resolution insights into atmospheric phenomena. Level 2b: Synergistic Geophysical Products Level 2b products leverage data from multiple EarthCARE instruments to generate comprehensive, synergistic geophysical datasets. By combining measurements from instruments like radar, lidar, and radiometers, these products offer a more integrated view of cloud-aerosol interactions and atmospheric dynamics. Synergistic products provide enhanced accuracy and depth compared to single-instrument outputs, enabling detailed studies of complex atmospheric processes. proprietary
JCADM_USA_PENGUINS Adelie Penguin ecology SCIOPS STAC Catalog 1995-12-25 2001-01-20 166.17, -77.58, 169.25, -76.92 https://cmr.earthdata.nasa.gov/search/concepts/C1214609023-SCIOPS.umm_json Ecology of Adelie Penguins breeding at colonies in SW Ross Sea. proprietary
-JERS-1.OPS.SYC_NA JERS-1 OPS (Optical Sensor) Very Near Infrared Radiometer (VNIR) System Corrected Products level 1 ESA STAC Catalog 1992-08-13 1998-10-08 95, -90, -130, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336918-ESA.umm_json The JERS-1 Optical System (OPS) is composed of a Very Near Infrared Radiometer (VNIR) and a Short Wave Infrared Radiometer (SWIR). The instrument has 8 observable spectral bands from visible to short wave infrared. Data acquired by ESA ground stations The JERS-1 OPS products are available in GeoTIFF format. These products are available only for the VNIR sensor. All four bands are corrected. The correction consists in a vertical and horizontal destriping, the radiometry values are expanded from the range [0,63] to the range [0,255]. No geometrical correction is applied on level 1. The pixel size of approximately 18 x 24.2 metres for raw data is newly dimensioned to 18 x 18 metres for System Corrected data using a cubic convolution algorithm. Disclaimer: Cloud coverage for JERS OPS products has not been computed using an algorithm. The cloud cover assignment was performed manually by operators at the acquisition stations. Due to missing attitude information, the Nadir looking band (band 3) and the corresponding forward looking band (band 4) are not well coregistered, resulting in some accuracy limitations. The quality control was not performed systematically for each frame. A subset of the entire JERS Optical dataset was selected and manually checked. As a result of this, users may occasionally encounter issues with some of the individual products. proprietary
-JERS-1.SAR.PRI_NA JERS-1 SAR Level 1 Precision Image ESA STAC Catalog 1992-07-13 1998-10-08 -95, -90, 130, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336919-ESA.umm_json The JSA_PRI_1P product is comparable to the ESA PRI/IMP images generated for Envisat ASAR and ERS SAR instruments. It is a ground range projected detected image in zero-Doppler SAR coordinates, with a 12.5 metre pixel spacing. It has four overlapping looks in Doppler covering a total bandwidth of 1000Hz, with each look covering a 300Hz bandwidth. Sidelobe reduction is applied to achieve a nominal PSLR of less than -21dB. The image is not geocoded, and terrain distortion (foreshortening and layover) has not been removed. Data acquired by ESA ground stations. proprietary
-JERS-1.SAR.SLC_NA JERS-1 SAR Level 1 Single Look Complex Image ESA STAC Catalog 1992-07-13 1998-10-08 -95, -90, 130, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336920-ESA.umm_json The JSA_SLC_1P product is comparable to the ESA SLC/IMS images generated for Envisat ASAR and ERS SAR instruments. It is a slant-range projected complex image in zero-Doppler SAR coordinates. The data is sampled in natural units of time in range and along track, with the range pixel spacing corresponding to the reciprocal of the platform ADC rate and the along track spacing to the reciprocal of the PRF. Data is processed to an unweighted Doppler bandwidth of 1000Hz, without sidelobe reduction. The product is suitable for interferometric, calibration and quality analysis applications. Data acquired by ESA ground stations proprietary
+JERS-1.OPS.SYC_7.0 JERS-1 OPS (Optical Sensor) Very Near Infrared Radiometer (VNIR) System Corrected Products level 1 ESA STAC Catalog 1992-08-13 1998-10-08 95, -90, -130, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336918-ESA.umm_json The JERS-1 Optical System (OPS) is composed of a Very Near Infrared Radiometer (VNIR) and a Short Wave Infrared Radiometer (SWIR). The instrument has 8 observable spectral bands from visible to short wave infrared. Data acquired by ESA ground stations The JERS-1 OPS products are available in GeoTIFF format. These products are available only for the VNIR sensor. All four bands are corrected. The correction consists in a vertical and horizontal destriping, the radiometry values are expanded from the range [0,63] to the range [0,255]. No geometrical correction is applied on level 1. The pixel size of approximately 18 x 24.2 metres for raw data is newly dimensioned to 18 x 18 metres for System Corrected data using a cubic convolution algorithm. Disclaimer: Cloud coverage for JERS OPS products has not been computed using an algorithm. The cloud cover assignment was performed manually by operators at the acquisition stations. Due to missing attitude information, the Nadir looking band (band 3) and the corresponding forward looking band (band 4) are not well coregistered, resulting in some accuracy limitations. The quality control was not performed systematically for each frame. A subset of the entire JERS Optical dataset was selected and manually checked. As a result of this, users may occasionally encounter issues with some of the individual products. proprietary
+JERS-1.SAR.PRI_7.0 JERS-1 SAR Level 1 Precision Image ESA STAC Catalog 1992-07-13 1998-10-08 -95, -90, 130, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336919-ESA.umm_json The JSA_PRI_1P product is comparable to the ESA PRI/IMP images generated for Envisat ASAR and ERS SAR instruments. It is a ground range projected detected image in zero-Doppler SAR coordinates, with a 12.5 metre pixel spacing. It has four overlapping looks in Doppler covering a total bandwidth of 1000Hz, with each look covering a 300Hz bandwidth. Sidelobe reduction is applied to achieve a nominal PSLR of less than -21dB. The image is not geocoded, and terrain distortion (foreshortening and layover) has not been removed. Data acquired by ESA ground stations. proprietary
+JERS-1.SAR.SLC_7.0 JERS-1 SAR Level 1 Single Look Complex Image ESA STAC Catalog 1992-07-13 1998-10-08 -95, -90, 130, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336920-ESA.umm_json The JSA_SLC_1P product is comparable to the ESA SLC/IMS images generated for Envisat ASAR and ERS SAR instruments. It is a slant-range projected complex image in zero-Doppler SAR coordinates. The data is sampled in natural units of time in range and along track, with the range pixel spacing corresponding to the reciprocal of the platform ADC rate and the along track spacing to the reciprocal of the PRF. Data is processed to an unweighted Doppler bandwidth of 1000Hz, without sidelobe reduction. The product is suitable for interferometric, calibration and quality analysis applications. Data acquired by ESA ground stations proprietary
JERS-1_L0_1 JERS-1_LEVEL1 ASF STAC Catalog 1992-05-20 1998-10-11 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1208662092-ASF.umm_json JERS-1 Level 1 Data proprietary
JERS-1_L1_1 JERS-1_LEVEL0 ASF STAC Catalog 1992-05-20 1998-10-11 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1207933168-ASF.umm_json JERS-1 Level 0 Data proprietary
JERS-1_OPS_L2_SWIR_NA JSRS-1/OPS L2 Short Wave Infrared Radiometer Data JAXA STAC Catalog 1992-04-01 1996-08-17 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2698130110-JAXA.umm_json JSRS-1/OPS L2 Short Wave Infrared Radiometer Data is obtained from the OPS sensor onboard JERS-1 and produced by National Space Development Agency of Japan (NASDA).JERS-1, which mounts OPS is Sun-synchronous sub-recurrent Orbit satellite launched on February 11, 1992. The dataset includes System Corrected Image Product. No radiometric correction is applied at the moment due to the lack of the calibration coefficients. Spatial Resolution is 18m x 24m. Map projection is UTM, SOM and PS. The provided format is CEOS. proprietary
@@ -7162,7 +7171,7 @@ KAIMIMOANA_0 Measurements taken onboard R/V Kaimimoana between 1999 and 2002 OB_
KFDBAM_ANU_1 Macquarie Island Baseline Invertebrate Survey 1994 AU_AADC STAC Catalog 1994-02-01 1994-03-15 158.76, -54.79, 158.965, -54.48 https://cmr.earthdata.nasa.gov/search/concepts/C1214313580-AU_AADC.umm_json Records from 69 sites, covering the whole island. Sites stratified by topography (2 classes: slopes or drainage lines), altitude (4 classes: 0-100 m, 100-200 m, 200-300 m, 300m+), vegetation type (5 types), aspect (2 classes: E,W), north-south position on island (3 classes: north, middle, south). Pitfall traps and yellow pan traps opened for 6 weeks (summer). Hand searches for worms, slugs and snails. Specimens identified to species level. We used the data to construct statistical models of the spatial distribution of species in relation to the above variables. Intended as a baseline survey to detect, monitor and predict effects of climate change and local human impacts (e.g. alien species introductions) on biota. This work was carried out as part of ASAC project 104 (ASAC_104). The fields in this dataset are: Site Topography Region Aspect Altitude Vegetation Type Method Notes Species The detergent column indicates whether a drop of detergent was added to the yellowpans or not. A 1 = yes. proprietary
KILVOLC_FlowerKahn2021_1 MISR Derived Case Study Data for Kilauea Volcanic Eruptions Including Geometric Plume Height and Qualitative Radiometric Particle Property Information LARC_ASDC STAC Catalog 2000-10-25 2018-08-01 -161, 14, -150, 25 https://cmr.earthdata.nasa.gov/search/concepts/C2134682585-LARC_ASDC.umm_json The KILVOLC_FlowerKahn2021_1 dataset is the MISR Derived Case Study Data for Kilauea Volcanic Eruptions Including Geometric Plume Height and Qualitative Radiometric Particle Property Information version 1 dataset. It comprises MISR-derived output from a comprehensive analysis of Kilauea volcanic eruptions (2000-2018). Data collection for this dataset is complete. The data presented here are analyzed and discussed in the following paper: Flower, V.J.B., and R.A. Kahn, 2021. Twenty years of NASA-EOS multi-sensor satellite observations at Kīlauea volcano (2000-2019). J. Volc. Geo. Res. (in press). The data is subdivided by date and MISR orbit number. Within each case folder, there are up to 11 files relating to an individual MISR overpass. Files include plume height records (from both the red and blue spectral bands) derived from the MISR INteractive eXplorer (MINX) program, displayed in: map view, downwind profile plot (along with the associated wind vectors retrieved at plume elevation), a histogram of retrieved plume heights and a text file containing the digital plume height values. An additional JPG is included delineating the plume analysis region, start point for assessing downwind distance, and input wind direction used to initialize the MINX retrieval. A final two files are generated from the MISR Research Aerosol (RA) retrieval algorithm (Limbacher, J.A., and R.A. Kahn, 2014. MISR Research-Aerosol-Algorithm: Refinements For Dark Water Retrievals. Atm. Meas. Tech. 7, 1-19, doi:10.5194/amt-7-1-2014). These files include the RA model output in HDF5, and an associated JPG of key derived variables (e.g. Aerosol Optical Depth, Angstrom Exponent, Single Scattering Albedo, Fraction of Non-Spherical components, model uncertainty classifications and example camera views). File numbers per folder vary depending on the retrieval conditions of specific observations. RA plume retrievals are limited when cloud cover was widespread or the solar radiance was insufficient to run the RA. In these cases the RA files are not included in the individual folders. In cases where activity was observed from multiple volcanic zones in a single overpass, individual folders containing data relating to a single region, are included, and defined by a qualifier (e.g. '_1'). proprietary
KOMPSAT-2 KOMPSAT-2 Panchromatic and multispectral imagery CEOS_EXTRA STAC Catalog 2006-07-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2229454502-CEOS_EXTRA.umm_json The KOMPSAT-2 allows the generation of high resolution images with a GSD of better than 1 m for PAN data and 4 m for MS data with nadir viewing condition at the nominal altitude of 685 km. The MSC has a single PAN spectral band between 500 - 900 nm and 4 MS spectral bands between 450-900 nm. PAN imaging and MS imaging can be operated simultaneously during mission operations. The swath width is greater than or equal to 15 km at the mission altitude for PAN data and MS data. The system is equipped with a solid state recorder to record images not less than 1,000km long at the end of life. The satellite can be rolled up to ±30 degrees off-nadir to pre-position the MSC swath. The KOMPSAT-2 can provide across-track stereo images by multiple passes of the satellite using off-nadir pointing capability. The satellite is compatible with daily revisit operation by off-nadir pointing with degraded GSD. Also, the image products according to the requested products quality standard can be made within one (1) day after satellite passes over the KGS. proprietary
-KOMPSAT-2.ESA.archive_NA KOMPSAT-2 ESA archive ESA STAC Catalog 2007-04-18 2014-03-21 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336921-ESA.umm_json Kompsat-2 ESA archive collection is composed by bundle (Panchromatic and Multispectral separated images) products from the Multi-Spectral Camera (MSC) onboard KOMPSAT-2 acquired from 2007 to 2014: 1m resolution for PAN, 4m resolution for MS. Spectral Bands: • Pan: 500 - 900 nm (locate, identify and measure surface features and objects primarily by their physical appearance) • MS1 (blue): 450 - 520 nm (mapping shallow water, differentiating soil from vegetation) • MS2 (green): 520 - 600 nm (differentiating vegetation by health) • MS3 (red): 630 - 690 nm (differentiating vegetation by species) • MS4 (near-infrared): 760 - 900 nm (mapping vegetation, mapping vegetation vigor/health, Differentiating vegetation by species) proprietary
+KOMPSAT-2.ESA.archive_9.0 KOMPSAT-2 ESA archive ESA STAC Catalog 2007-04-18 2014-03-21 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336921-ESA.umm_json Kompsat-2 ESA archive collection is composed by bundle (Panchromatic and Multispectral separated images) products from the Multi-Spectral Camera (MSC) onboard KOMPSAT-2 acquired from 2007 to 2014: 1m resolution for PAN, 4m resolution for MS. Spectral Bands: • Pan: 500 - 900 nm (locate, identify and measure surface features and objects primarily by their physical appearance) • MS1 (blue): 450 - 520 nm (mapping shallow water, differentiating soil from vegetation) • MS2 (green): 520 - 600 nm (differentiating vegetation by health) • MS3 (red): 630 - 690 nm (differentiating vegetation by species) • MS4 (near-infrared): 760 - 900 nm (mapping vegetation, mapping vegetation vigor/health, Differentiating vegetation by species) proprietary
KOPRI-KPDC-00000001_1 2007 Seismic Data, Antarctica AMD_KOPRI STAC Catalog 2007-12-08 2007-12-11 -63.593556, -62.777306, -61.092444, -61.466739 https://cmr.earthdata.nasa.gov/search/concepts/C2244294500-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in northern sea area of the South Shetland Islands. The research period was from 07 Dec. to 14 Dec. (7 days) in 2007. Geophysical research including acquisition of multi-channel seismic data was preceded. We took on lease Russian ""Yuzhmorgeologiya""(5500 ton, ice strengthed vessel) and 7 researcher in the cruise." proprietary
KOPRI-KPDC-00000002_1 2004 Seismic Data, Antarctica AMD_KOPRI STAC Catalog 2004-11-29 2004-12-05 -51.372194, -61.652222, -47.042, -60.203167 https://cmr.earthdata.nasa.gov/search/concepts/C2244294814-AMD_KOPRI.umm_json "Korean Antarctic survey carried out the fifth year project as step 3 project in the last annual of ‘The Antarctic Undersea Geological Survey’ was conducted in the northern Fowell Basin of the Weddell Sea. The research period was from 25 Nov. to 9 Dec. (15 days) in 2004. Geophysical research including acquisition of multi-channel seismic data was preceded. According to the results of seismic investigation, the drilling investigation was conducted at the coring point. We took on lease Russian ""Yuzhmorgeologiya""(5500 ton, ice strengthed vessel) and 12 researcher in the cruise." proprietary
KOPRI-KPDC-00000003_1 2003 Seismic Data, Antarctica AMD_KOPRI STAC Catalog 2003-12-14 2003-12-17 -49.883889, -61.230056, -46.487694, -59.500833 https://cmr.earthdata.nasa.gov/search/concepts/C2244294883-AMD_KOPRI.umm_json "Korean Antarctic survey carried out as part of step 3 project in year 4 of ‘The Antarctic Undersea Geological Survey’ was conducted in the Powell Basin (IV region) of the northern Weddell Sea, Antarctica. Because Korea doesn't have an icebreaker for Antarctic research, during the Antarctic site survey period, research ships are secured and conducted through a chartering. The available chartering are limited. It's because the duration of the chartering is concentrated in the summer season like any other country. We took on lease Russian R/V ""Yuzhmorgeologiya"" (5500 ton, ice strengthed vessel) used on lease by NOAA in the United States as in other years. It was used from November to December, just before the NOAA use period. The research period was from 24 Nov. to 9 Dec. (8 days) in 2003. After geophysical research including acquisition of multichannel seismic data, a drilling investigation was conducted in coring point was decided from combined geophysical data. 12 researchers from KOPRI, Seoul University etc. participated in the cruise as field investigation personnel." proprietary
@@ -9054,18 +9063,18 @@ Krill_growth_rates_1 Experimental studies into growth and ageing of krill 1993-2
Kuparuk_Veg_Maps_1378_1 Maps of Vegetation Types and Physiographic Features, Kuparuk River Basin, Alaska ORNL_CLOUD STAC Catalog 1976-08-04 2008-12-31 -151.2, 68.29, -148.09, 70.54 https://cmr.earthdata.nasa.gov/search/concepts/C2170969950-ORNL_CLOUD.umm_json This data set provides a collection of vegetation, landscape, geobotanical, elevation, hydrology, and geologic maps for the Kuparuk River Basin, North Slope, Alaska. The maps cover either (1) the entire Kuparuk River Basin, from the headwaters on the north side of the Brooks Range to the Beaufort Sea coast, or (2) the selected Upper Kuparuk River Region including the Toolik Lake and Imnavait Creek research areas. The maps were produced from imagery and existing geobotanical maps covering the period 1976-08-04 to 2008-12-31. proprietary
Kuroshio_Area_0 Measurements in the Kuroshio current OB_DAAC STAC Catalog 1997-11-24 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360413-OB_DAAC.umm_json Measurements in the Kuroshio, western boundary current in the North Pacific Ocean, from 1997. proprietary
Kyle-Ferrar_Igneous_Province 40Ar/39Ar dates of Jurassic igneous rocks from Antarctica SCIOPS STAC Catalog 1970-01-01 -180, -90, 180, -62.83 https://cmr.earthdata.nasa.gov/search/concepts/C1214612994-SCIOPS.umm_json Plagioclase mineral separates from basaltic extrusive (lavas) and instrusive (dolerite and gabbro) samples from the Dronning Maud Land area of Antarctica were dated by the incremental heating 40Ar/39Ar method. 32 individual samples were dated with 11 samples having duplicate analyses. proprietary
-L1B_Wind_Products_NA Aeolus preliminary HLOS (horizontal line-of-sight) wind observations for Rayleigh and Mie receivers ESA STAC Catalog 2020-04-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689596-ESA.umm_json The Level 1B wind product of the Aeolus mission contains the preliminary HLOS (horizontal line-of-sight) wind observations for Rayleigh and Mie receivers, which are generated in Near Real Time. Standard atmospheric correction (Rayleigh channel), receiver response and bias correction is applied. The product is generated within 3 hours after data acquisition. proprietary
-L2B_Wind_Products_NA Aeolus Scientific L2B Rayleigh/Mie wind product ESA STAC Catalog 2020-04-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689544-ESA.umm_json The Level 2B wind product of the Aeolus mission is a geo-located consolidated HLOS (horizontal line-of-sight) wind observation with actual atmospheric correction applied to Rayleigh channel. The product is generated by within 3 hours after data acquisition. proprietary
-L2C_Wind_products_NA Aeolus Level 2C assisted wind fields resulting from NWP Numerical Weather Prediction assimilation processing ESA STAC Catalog 2020-07-09 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2619280864-ESA.umm_json The Level 2C wind product of the Aeolus mission provides ECMWF analysis horizontal wind vectors at the geolocations of assimilated L2B HLOS wind components. The L2C can therefore be described as an Aeolus-assisted horizontal wind vector product. The L2C is a distinct product, however the L2C and L2B share a common Earth Explorer file template, with the L2C being a superset of the L2B. The L2C consists of extra datasets appended to the L2B product with information which are relevant to the data assimilation of the L2B winds. proprietary
-L2SW_Open_NA SMOS NRT L2 Swath Wind Speed ESA STAC Catalog 2018-05-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689620-ESA.umm_json SMOS retrieved surface wind speed gridded maps (with a spatial sampling of 1/4 x 1/4 degrees) are available in NetCDF format. Each product contains parts of ascending and descending orbits and it is generated by Ifremer, starting from the SMOS L1B data products, in Near Real Time i.e. within 4 to 6 hours from sensing time. Before using this dataset, please check the read-me-first note available in the Resources section below. proprietary
-L3SW_Open_NA SMOS L3 Daily Wind Speed ESA STAC Catalog 2018-05-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689536-ESA.umm_json SMOS L3WS products are daily composite maps of the collected SMOS L2 swath wind products for a specific day, provided with the same grid than the Level 2 wind data (SMOS L2WS NRT) but separated into ascending and descending passes. This product is available the day after sensing from Ifremer, in NetCDF format. Before using this dataset, please check the read-me-first note available in the Resources section below. proprietary
+L1B_Wind_Products_3.0 Aeolus preliminary HLOS (horizontal line-of-sight) wind observations for Rayleigh and Mie receivers ESA STAC Catalog 2020-04-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689596-ESA.umm_json The Level 1B wind product of the Aeolus mission contains the preliminary HLOS (horizontal line-of-sight) wind observations for Rayleigh and Mie receivers, which are generated in Near Real Time. Standard atmospheric correction (Rayleigh channel), receiver response and bias correction is applied. The product is generated within 3 hours after data acquisition. proprietary
+L2B_Wind_Products_3.0 Aeolus Scientific L2B Rayleigh/Mie wind product ESA STAC Catalog 2020-04-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689544-ESA.umm_json The Level 2B wind product of the Aeolus mission is a geo-located consolidated HLOS (horizontal line-of-sight) wind observation with actual atmospheric correction applied to Rayleigh channel. The product is generated by within 3 hours after data acquisition. proprietary
+L2C_Wind_products_5.0 Aeolus Level 2C assisted wind fields resulting from NWP Numerical Weather Prediction assimilation processing ESA STAC Catalog 2020-07-09 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2619280864-ESA.umm_json The Level 2C wind product of the Aeolus mission provides ECMWF analysis horizontal wind vectors at the geolocations of assimilated L2B HLOS wind components. The L2C can therefore be described as an Aeolus-assisted horizontal wind vector product. The L2C is a distinct product, however the L2C and L2B share a common Earth Explorer file template, with the L2C being a superset of the L2B. The L2C consists of extra datasets appended to the L2B product with information which are relevant to the data assimilation of the L2B winds. proprietary
+L2SW_Open_3.0 SMOS NRT L2 Swath Wind Speed ESA STAC Catalog 2018-05-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689620-ESA.umm_json SMOS retrieved surface wind speed gridded maps (with a spatial sampling of 1/4 x 1/4 degrees) are available in NetCDF format. Each product contains parts of ascending and descending orbits and it is generated by Ifremer, starting from the SMOS L1B data products, in Near Real Time i.e. within 4 to 6 hours from sensing time. Before using this dataset, please check the read-me-first note available in the Resources section below. proprietary
+L3SW_Open_4.0 SMOS L3 Daily Wind Speed ESA STAC Catalog 2018-05-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689536-ESA.umm_json SMOS L3WS products are daily composite maps of the collected SMOS L2 swath wind products for a specific day, provided with the same grid than the Level 2 wind data (SMOS L2WS NRT) but separated into ascending and descending passes. This product is available the day after sensing from Ifremer, in NetCDF format. Before using this dataset, please check the read-me-first note available in the Resources section below. proprietary
L3S_LEO_AM-STAR-v2.80_2.80 GHRSST NOAA/STAR ACSPO v2.80 0.02 degree L3S Dataset from mid-Morning LEO Satellites (GDS v2) POCLOUD STAC Catalog 2006-12-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2050135480-POCLOUD.umm_json NOAA STAR produces two lines of gridded 0.02 degree super-collated L3S LEO sub-skin Sea Surface Temperature (SST) datasets, one from the NOAA afternoon JPSS (L3S_LEO_PM) satellites and the other from the EUMETSAT mid-morning Metop (L3S_LEO_AM) satellites. The L3S_LEO_AM is derived from three Low Earth Orbiting (LEO) Metop-FG satellites: Metop-A, -B and -C . The Metop-FG satellite program was jointly established by the European Space Agency (ESA) and the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT). The US National Oceanic and Atmospheric Administration (NOAA) under the joint NOAA/EUMETSAT Initial Joint Polar System Agreement, has contributed three Advanced Very High Resolution Radiometer (AVHRR) sensors capable of collecting and transmitting data in the Full Resolution Area Coverage (FRAC; 1km/nadir) format. The L3S_LEO_AM dataset is produced by aggregating three L3U datasets from MetOp-FG satellites (MetOp-A, -B and -C; all hosted in PO.DAAC) and covers from Dec 2006-present. The L3S_LEO_AM SST dataset is reported in two files per 24-hour interval, daytime and nighttime (nominal Metop local equator crossing times around 09:30/21:30, respectively), in NetCDF4 format, compliant with the GHRSST Data Specification version 2 (GDS2). The Near Real Time (NRT) L3S-LEO data are archived at PO.DAAC with approximately 6 hours latency, and then replaced by the Re-ANalysis (RAN) files about 2 months later, with identical file names. The dataset is validated against quality controlled in situ data, provided by the NOAA in situ SST Quality Monitor system (iQuam; Xu and Ignatov, 2014), and monitored in another NOAA system, SST Quality Monitor (SQUAM; Dash et al, 2010). The L3S SST imagery and local coverage are continuously evaluated, and checked for consistency with other Level 2, 3 and 4 datasets in the ACSPO Regional Monitor for SST (ARMS) system. NOAA plans to include data from other mid-morning platforms and sensors, such as MetOp-SG METImage and Terra MODIS, into L3S_LEO_AM. More information about the dataset can be found under the Documentation and Citation tabs. proprietary
L3S_LEO_DY-STAR-v2.81_2.81 GHRSST NOAA/STAR ACSPO v2.81 0.02 degree L3S Daily Dataset from LEO Satellites POCLOUD STAC Catalog 2000-02-24 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2805339147-POCLOUD.umm_json The L3S_LEO_DY-STAR-v2.81 dataset produced by the NOAA Advanced Clear-Sky Processor for Ocean (ACSPO) system derives the Subskin Sea Surface Temperature (SST) from multiple instruments, including the VIIRS onboard the Suomi-NPP, NOAA-20 and NOAA-21 satellites, AVHRR onboard Metop-A, B , C satellites and MODIS onboard the Terra and Aqua satellites. The L3S-LEO is a family of multi-sensor super-collated (L3S) gridded 0.02º resolution SST products from low earth orbit (LEO) satellites. The L3S-LEO PM ( https://doi.org/10.5067/GHLPM-3S281 ) and AM ( https://doi.org/10.5067/GHLAM-3SS28 ) data include SSTs from afternoon (~1:30 am/pm) and mid-morning (~9:30 am/pm) satellites, respectively. The PM and AM SSTs, for both day (D) and night (N), and Terra MODIS SSTs, are further aggregated into a daily L3S-LEO-DY SST product.
The L3S-DY-SST combines the both L3S-LEO-PM/AM SSTs into a single daily product. It covers from 2000-02-24 to present and is reported in one file per 24h interval. Data are in NetCDF4 format, compliant with the GHRSST Data Specification version 2 (GDS2). The v2.81 succeeds the v2.80 dataset (not available from the PO.DAAC) with the following improvements: (1) The L3S-LEO-PM input was updated from v2.80 to v2.81; and (2) ACSPO Terra MODIS SST is included from 2000-02-24 to 2021-12-31. The inclusion of Terra extends the availability of L3S-LEO-DY back to 2000-02-24 (from 2006-12-01 in v2.80). The SST diurnal warming effects from different daily observation times across the series of instruments have been corrected and are described in the publications by Jonasson et al., 2022
The Near Real Time (NRT) data are available with 6h latency, and replaced by the Re-ANalysis (RAN) files in 2 months, with identical file names. They can be differentiated by the file creation time and ancillary inputs. The data are validated against quality controlled in situ data from the NOAA in situ SST Quality Monitor (iQuam; https://www.star.nesdis.noaa.gov/socd/sst/iquam), and monitored in another NOAA system, SST Quality Monitor (SQUAM; https://www.star.nesdis.noaa.gov/socd/sst/squam) proprietary
L3S_LEO_PM-STAR-v2.81_2.81 GHRSST NOAA/STAR ACSPO v2.81 0.02 degree L3S Dataset from Afternoon LEO Satellites POCLOUD STAC Catalog 2002-07-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2805331435-POCLOUD.umm_json The L3S_LEO_PM-STAR-v2.81 dataset produced by the NOAA Advanced Clear-Sky Processor for Ocean (ACSPO) system derives the Subskin Sea Surface Temperature (SST) from the VIIRSs (Visible Infrared Imaging Radiometer Suite) onboard the Suomi-NPP, NOAA-20 and NOAA-21 satellites and MODIS (Moderate Resolution Imaging Spectroradiometer) onboard the Aqua satellite. The L3S-LEO is a family of multi-sensor super-collated (L3S) gridded 0.02º resolution SST products from low earth orbit (LEO) satellites. The L3S-LEO-PM ( https://doi.org/10.5067/GHLPM-3S281 ) and AM ( https://doi.org/10.5067/GHLAM-3SS28 ) data include SSTs from afternoon (~1:30 am/pm) and mid-morning (~9:30 am/pm) satellites, respectively. The PM and AM SSTs, for both day (D) and night (N), and Terra MODIS SSTs, are further aggregated into a daily L3S-LEO-DY SST product ( https://doi.org/10.5067/GHLDY-3S281 ).
This PM SST product is derived by collating individual satellite ACSPO L3U data ( https://doi.org/10.5067/GHVRS-3UO61, https://doi.org/10.5067/GHV20-3UO61 and https://doi.org/10.5067/GHN21-3U280 ). It covers from 2002-07-04 to present and is reported in 2 files daily, day and night, at 1:30am/pm local time. The SST is in NetCDF4 format, compliant with the GHRSST Data Specification version 2 (GDS2). The v2.81 is updated from the previous v2.80 ( https://doi.org/10.5067/GHLPM-3SS28 ): (1) v2.81 includes 3 VIIRSs (NPP, N20, and N21 from 2023-03-19 - on); (2) Aqua MODIS SST included from 2002-07-04 to 2022-12-31; (3) Time series in v2.81 extended back to 2002-07-04 (from 2012-02-01 in v2.80); (4) recently uncovered VIIRS daytime SST drifts in NPP and N20 SSTs of approximately -0.1 K/decade mitigated.
The Near Real Time (NRT) data are available with 6h latency, and replaced by the Re-ANalysis (RAN) files in 2 months, with identical file names. They can be differentiated by the file creation time and ancillary inputs. The data are validated against quality controlled in situ data from the NOAA in situ SST Quality Monitor (iQuam; https://www.star.nesdis.noaa.gov/socd/sst/iquam), and monitored in another NOAA system, SST Quality Monitor (SQUAM; https://www.star.nesdis.noaa.gov/socd/sst/squam) proprietary
-L3_FT_Open_NA SMOS Soil Freeze and Thaw State ESA STAC Catalog 2010-07-01 -180, 0, 180, 85 https://cmr.earthdata.nasa.gov/search/concepts/C2119689470-ESA.umm_json The SMOS Level 3 Freeze and Thaw (F/T) product provides daily information on the soil state in the Northern Hemisphere based on SMOS observations and associated ancillary data. Daily products, in NetCDF format, are generated by the Finnish Meteorological Institute (FMI) and are available from 2010 onwards. The processing algorithm makes use of gridded Level 3 brightness temperatures provided by CATDS (https://www.catds.fr). The data is provided in the Equal-Area Scalable Earth Grid (EASE2-Grid), at 25 km x 25 km resolution. For an optimal exploitation of this dataset, please refer to the Resources section below to access Product Specifications, read-me-first notes, etc. proprietary
-L3_SIT_Open_NA SMOS Level 3C Sea Ice Thickness ESA STAC Catalog 2010-10-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336922-ESA.umm_json The SMOS Level 3 Sea Ice Thickness product, in NetCDF format, provides daily estimations of SMOS-retrieved sea ice thickness (and its uncertainty) at the edge of the Arctic Ocean during the October-April (winter) season, from year 2010 onwards. The sea ice thickness is retrieved from the SMOS L1C product, up to a depth of approximately 0.5-1 m, depending on the ice temperature and salinity. Daily maps, projected on polar stereographic grid of 12.5 km, are generated by the Alfred Wegener Institut (AWI). This product is complementary with sea ice thickness measurements from ESA's CryoSat and Copernicus Sentinel-3 missions. proprietary
-L4WR_Open_NA SMOS Tropical Cyclone Wind Radii Fixes ESA STAC Catalog 2018-05-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689492-ESA.umm_json "The SMOS WRF product is available in Near Real Time to support tropical cyclones (TC) forecasts. It is generated within 4 to 6 hours from sensing from the SMOS L2 swath wind speed products, in the so-called ""Fix (F-deck)"" format compatible with the US Navy's ATCF (Automated Tropical Cyclone Forecasting) System. The SMOS WRF ""fixes"" to the best-track forecasts contain: the SMOS 10-min maximum-sustained winds (in knots) and wind radii (in nautical miles) for the 34 kt (17 m/s), 50 kt (25 m/s) and 64 kt (33 m/s) winds per geographical storm quadrants, and for each SMOS pass intercepting a TC in all the active ocean basins." proprietary
-L4_SIT_Open_NA SMOS-CryoSat L4 Sea Ice Thickness ESA STAC Catalog 2010-11-15 -180, -16.6, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689655-ESA.umm_json The SMOS-CryoSat merged Sea Ice Thickness Level 4 product, in NetCDF format, is based on estimates from both the MIRAS and the SIRAL instruments, with a significant reduction in the relative uncertainty for the thickness of the thin ice. A weekly averaged product is generated every day by the Alfred Wegener Institut (AWI), by merging the weekly AWI CryoSat-2 sea ice product and the daily SMOS sea ice thickness retrieval. All grids are projected onto the 25 km EASE2 Grid, based on a polar aspect spherical Lambert azimuthal equal-area projection. The grid dimension is 5400 x 5400 km, equal to a 432 x 432 grid centered on the geographic Pole. Coverage is limited to the October-April (winter) period for the Northern Hemisphere, due to the melting season, from year 2010 onwards. proprietary
+L3_FT_Open_6.0 SMOS Soil Freeze and Thaw State ESA STAC Catalog 2010-06-01 -180, 0, 180, 85 https://cmr.earthdata.nasa.gov/search/concepts/C2119689470-ESA.umm_json The SMOS Level 3 Freeze and Thaw (F/T) product provides daily information on the soil state in the Northern Hemisphere based on SMOS observations and associated ancillary data. Daily products, in NetCDF format, are generated by the Finnish Meteorological Institute (FMI) and are available from 2010 onwards. The processing algorithm makes use of gridded Level 3 brightness temperatures provided by CATDS (https://www.catds.fr). The data is provided in the Equal-Area Scalable Earth Grid (EASE2-Grid), at 25 km x 25 km resolution. For an optimal exploitation of this dataset, please refer to the Resources section below to access Product Specifications, read-me-first notes, etc. proprietary
+L3_SIT_Open_6.0 SMOS Level 3C Sea Ice Thickness ESA STAC Catalog 2010-10-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336922-ESA.umm_json The SMOS Level 3 Sea Ice Thickness product, in NetCDF format, provides daily estimations of SMOS-retrieved sea ice thickness (and its uncertainty) at the edge of the Arctic Ocean during the October-April (winter) season, from year 2010 onwards. The sea ice thickness is retrieved from the SMOS L1C product, up to a depth of approximately 0.5-1 m, depending on the ice temperature and salinity. Daily maps, projected on polar stereographic grid of 12.5 km, are generated by the Alfred Wegener Institut (AWI). This product is complementary with sea ice thickness measurements from ESA's CryoSat and Copernicus Sentinel-3 missions. proprietary
+L4WR_Open_3.0 SMOS Tropical Cyclone Wind Radii Fixes ESA STAC Catalog 2018-05-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689492-ESA.umm_json The SMOS WRF product is available in Near Real Time to support tropical cyclones (TC) forecasts. It is generated within 4 to 6 hours from sensing from the SMOS L2 swath wind speed products, in the so-called "Fix (F-deck)" format compatible with the US Navy's ATCF (Automated Tropical Cyclone Forecasting) System. The SMOS WRF "fixes" to the best-track forecasts contain: the SMOS 10-min maximum-sustained winds (in knots) and wind radii (in nautical miles) for the 34 kt (17 m/s), 50 kt (25 m/s) and 64 kt (33 m/s) winds per geographical storm quadrants, and for each SMOS pass intercepting a TC in all the active ocean basins. proprietary
+L4_SIT_Open_5.0 SMOS-CryoSat L4 Sea Ice Thickness ESA STAC Catalog 2010-11-15 -180, -16.6, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689655-ESA.umm_json The SMOS-CryoSat merged Sea Ice Thickness Level 4 product, in NetCDF format, is based on estimates from both the MIRAS and the SIRAL instruments, with a significant reduction in the relative uncertainty for the thickness of the thin ice. A weekly averaged product is generated every day by the Alfred Wegener Institut (AWI), by merging the weekly AWI CryoSat-2 sea ice product and the daily SMOS sea ice thickness retrieval. All grids are projected onto the 25 km EASE2 Grid, based on a polar aspect spherical Lambert azimuthal equal-area projection. The grid dimension is 5400 x 5400 km, equal to a 432 x 432 grid centered on the geographic Pole. Coverage is limited to the October-April (winter) period for the Northern Hemisphere, due to the melting season, from year 2010 onwards. proprietary
L7PAN128112_141101_R_1 Georeferenced Landsat 7 image of the Prince Charles Mountains and Lambert Glacier AU_AADC STAC Catalog 2001-11-14 2001-11-14 66.7, -72, 67.7, -71 https://cmr.earthdata.nasa.gov/search/concepts/C1214311128-AU_AADC.umm_json Georeferenced Landsat 7 image of the Prince Charles Mountains and Lambert Glacier. The image was captured on the 14th of November, 2001. proprietary
L7_ETM_SLC_OFF Landsat 7 ETM+ SLC-off (2003-present) USGS_LTA STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1220567903-USGS_LTA.umm_json The USGS Earth Resources Observation and Science (EROS) Center archive holds data collected by the Landsat suite of satellites, beginning with Landsat 1 in 1972. All Landsat data held in the USGS EROS archive are available for download at no charge. proprietary
LAB97_0 Labrador Sea 1997 optical measurements OB_DAAC STAC Catalog 1997-05-09 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360417-OB_DAAC.umm_json Bio-optical validation observations were made on the CCGS Hudson in spring from 9 May to 11 June 1997 in the Labrador Sea. Stations were occupied along several sections between Labrador and Greenland with some locations revisited more than once during a cruise. The most heavily sampled SW-NE section from Hamilton Bank on the Labrador Shelf to Cape Desolation on the Greenland Shelf is the AR7 line of the World Ocean Circulation Experiment. proprietary
@@ -9087,9 +9096,8 @@ LANDMET_ANC_ST_1 LANDMET Ancillary ISCCP Surface Type Data L3 V1 (LANDMET_ANC_ST
LANDMET_ANC_TEIME_1 LANDMET Ancillary Monthly Mean Thermal Effective Infrared and Microwave Emissivity Data L3 V1 (LANDMET_ANC_TEIME) at GES DISC GES_DISC STAC Catalog 1998-01-01 2007-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1374187815-GES_DISC.umm_json This is an ancillary product, climatology monthly mean and standard deviation, containing a number of emissivity data. They are broadband thermal IR emissivity from the ISCCP FD radiative fluxes product the emissivity at 10.5 microns from the ISCCP IREMISS product, and the microwave emissivities at four frequencies and two polarizations from the combined analysis of SSM/I and window IR based on ISCCP DX product. The data has spatial grid cell on equal-area mapping at 1.0-degree-equivalent. proprietary
LANDMET_ANC_TESA_1 LANDMET Ancillary Monthly Mean Effective and Spectral Albedo Data L3 V1 (LANDMET_ANC_TESA) at GES DISC GES_DISC STAC Catalog 1998-01-01 2007-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1374187878-GES_DISC.umm_json This is an ancillary product containing the total effective surface albedo at solar wavelengths originated from the ISCCP FD radiative fluxes product, and the spectral albedos from the MODIS black-sky products. This is a monthly climatology data, with spatial grid cell on equal-area mapping at 1.0-degree-equivalent. proprietary
LANDSAT-16D-1_NA Landsat Collection 2 - Level-2 - Data Cube - LCF 16 days INPE STAC Catalog 2015-01-01 2023-12-31 -75.9138367, -34.6755646, -33.3435683, 5.9260044 https://cmr.earthdata.nasa.gov/search/concepts/C3108204500-INPE.umm_json Earth Observation Data Cube generated from Landsat Level-2 product over Brazil extension. This dataset is provided in Cloud Optimized GeoTIFF (COG) file format. The dataset is processed with 30 meters of spatial resolution, reprojected and cropped to BDC_MD grid Version 2 (BDC_MD V2), considering a temporal compositing function of 16 days using the Least Cloud Cover First (LCF) best pixel approach. proprietary
-LANDSAT.ETM.GTC_NA Landsat ETM+ ESA archive ESA STAC Catalog 1999-07-09 2003-12-31 -60, -20, 60, 80 https://cmr.earthdata.nasa.gov/search/concepts/C1532648148-ESA.umm_json This dataset contains all the Landsat 7 Enhanced Thematic Mapper high-quality ortho-rectified L1T dataset (or L1Gt where not enough GCPs are available) over Kiruna, Maspalomas, Matera and Neustrelitz visibility masks. The Landsat 7 ETM+ scenes typically covers 185 x 170 km. A standard full scene is nominally centred on the intersection between a Path and Row (the actual image centre can vary by up to 100m). Each band requires 50MB (uncompressed), and Band 8 requires 200MB (panchromatic band with resolution of 15m opposed to 30m). proprietary
-LANDSAT.OLI-TIRS.L1T_L1GT_NA Landsat 8 OLI-TIRS European Coverage ESA STAC Catalog 2014-12-31 -20, -35, 35, 75 https://cmr.earthdata.nasa.gov/search/concepts/C1965336923-ESA.umm_json The European coverage of Landsat 8 data since the beginning of the mission until December 2014 is available on the Landsat 8 portal. Data shown on the portal: portal are reprocessed (Tier 1 and Tier 2) products acquired at ESA receiving stations (Neustrelitz, Matera and Kiruna visibility masks).: You can find the most recent data (from 2015 onwards) in the Landsat8 European Coverage Collection 2 Level 1 and Level2; as soon as the new collection is completely uploaded and the entire mission is covered, the former dissemination system for Collection 1 dataset will be dismissed. Landsat 8 level 1 products combine data from the two Landsat instruments, OLI and TIRS. The level 1 products generated can be either L1T or L1gT (30m resolution, 170 km x 185 km scene size): • L1T - Orthorectified products Level 1T data products consist of radiometrically corrected image data derived from L0 data scaled to at-aperture spectral radiance or reflectance that are resampled for registration to a cartographic projection (referenced to the WGS84, G873 or current version). The L1T product is orthorectified, and corrected for terrain relief. The geometric corrections use observatory ephemeris data and ground control points; DEM data is used to correct for terrain relief. • L1gT - Geometrically corrected products L1gT data products consist of L0 product data with systematic radiometric, geometric and terrain corrections applied and resampled for registration to a cartographic projection, referenced to the WGS84, G873, or current version. L1gT data products assume the use of on-board positional information or definitive ephemeris, as well as the use of controlled elevation data to correct for parallax errors. In case of insufficient GCP, caused by extensive snow/cloud cover, which makes the orthorectification impossible, products of this level are produced instead of L1T. proprietary
-LANDSAT.TM.GTC_NA Landsat TM ESA archive ESA STAC Catalog 1984-04-06 2011-11-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1532648149-ESA.umm_json This dataset contains all the Landsat 5 Thematic Mapper high-quality ortho-rectified L1T dataset acquired by ESA over the Fucino, Matera, Kiruna and Maspalomas visibility masks, as well as campaign data over Malindi, Bishkek, Chetumal, Libreville and O'Higgins. The acquired Landsat TM scene covers approximately 183 x 172.8 km. A standard full scene is nominally centred on the intersection between a path and row (the actual image centre can vary by up to 100m). A full image is composed of 6920 pixels x 5760 lines and each band requires 40 Mbytes of storage space (uncompressed) at 30m spatial resolution in the VIS, NIR and SWIR as well as 120m in the TIR spectral range. proprietary
+LANDSAT.ETM.GTC_8.0 Landsat ETM+ ESA archive ESA STAC Catalog 1999-07-09 2003-12-31 -60, -20, 60, 80 https://cmr.earthdata.nasa.gov/search/concepts/C1532648148-ESA.umm_json This dataset contains all the Landsat 7 Enhanced Thematic Mapper high-quality ortho-rectified L1T dataset (or L1Gt where not enough GCPs are available) over Kiruna, Maspalomas, Matera and Neustrelitz visibility masks. The Landsat 7 ETM+ scenes typically covers 185 x 170 km. A standard full scene is nominally centred on the intersection between a Path and Row (the actual image centre can vary by up to 100m). Each band requires 50MB (uncompressed), and Band 8 requires 200MB (panchromatic band with resolution of 15m opposed to 30m). proprietary
+LANDSAT.TM.GTC_9.0 Landsat TM ESA archive ESA STAC Catalog 1984-04-06 2011-11-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1532648149-ESA.umm_json This dataset contains all the Landsat 5 Thematic Mapper high-quality ortho-rectified L1T dataset acquired by ESA over the Fucino, Matera, Kiruna and Maspalomas visibility masks, as well as campaign data over Malindi, Bishkek, Chetumal, Libreville and O'Higgins. The acquired Landsat TM scene covers approximately 183 x 172.8 km. A standard full scene is nominally centred on the intersection between a path and row (the actual image centre can vary by up to 100m). A full image is composed of 6920 pixels x 5760 lines and each band requires 40 Mbytes of storage space (uncompressed) at 30m spatial resolution in the VIS, NIR and SWIR as well as 120m in the TIR spectral range. proprietary
LANDSAT_FISHER_FEATURES_1 Fisher Massif Mapped from Landsat 7 Imagery. AU_AADC STAC Catalog 1999-12-27 1999-12-27 67, -71.7, 68.3, -71.3 https://cmr.earthdata.nasa.gov/search/concepts/C1214313585-AU_AADC.umm_json Fisher Massif Features Mapped from Mosaiced Pan Sharpened Landsat 7 Imagery. FEATURE MAPPING An unsupervised classification was run on the final image to create an image with 12 distinct grey scale values. An automated feature extraction process was then performed in ERDAS to automatically select and extract areas of Rock and Snow. These areas were then compared with the true colour image mosaic and the boundaries were manually adjusted where necessary. All other feature types were mapped in ESRI's ArcGIS by manually tracing along and around features using a stream digitising technique. Relevant linear features were then polygonised. The accuracy of the mapping was within +/- 30m for 95% of mapped features. This is a relative accuracy as there were no control points available to provide an absolute image orientation. The datasets were converted to double precision ArcInfo Coverages in UTM Zone 42. ESRI?s ArcGIS Desktop and Workstation were used to process the vector data. The Rock and Snow features which had been automatically extracted from the image were generalised using a distance of 40m with the bend simplify option of remove redundant vertices. The lines were then splined with a grain tolerance of 20m to smooth them. The line feature coverages were cleaned with a tolerance of 0.1m. ArcEdit was then used to tidy the line work in the resultant coverage. Arcs were extended where required and overshoots were deleted. The resultant coverages were built for line and polygon topology. The polygons were attributed using the Landsat image as a backdrop. The features were then extracted into separate feature coverages. The data were attributed according to the AADC Feature Type Catalogue. The individual feature coverages were built and checked for errors. A further visual check was then performed to check the features corresponded to the image. The absolute accuracy of the features mapped is +/-280m, with a relative accuracy of +/-30m. The individual feature coverages were projected to Geographicals (WGS84). After discussions with Mike Verrier, from the AAD on 30 April 2003, it was decided that ridgelines would only be picked up where there were major variations in the surface and not where there was a small hollow in which snow was settling. proprietary
LANDSAT_FISHER_MOSIMAGE_1 Landsat 7 Mosaiced Pan Sharpened Image AU_AADC STAC Catalog 1999-12-27 1999-12-27 63.7, -73.3, 73.1, -69.8 https://cmr.earthdata.nasa.gov/search/concepts/C1214313586-AU_AADC.umm_json Mosaiced Pan Sharpened Landsat 7 Image of Fisher Massif. The orientation parameters were derived from the Landsat 7 image header information to reference the images. The accuracy achieved from the data using the orientation parameters within the header information is within 250m. Multi spectral Landsat 7 images have a pixel resolution of 30m while the pan image has a resolution of 15m. These images were combined to produce a higher resolution colour image known as a pan sharpened image. To produce the pan sharpened image the following parameters were used: Method - Brovey Transform, Resampling Technique - Cubic Convolution, Data Type - Unsigned 8 bit. The pan sharpened image's histograms were then edited to reduce the overall contrast and to reveal feature detail in areas of deep shadow. The resulting images were mosaiced together. The pixel resolution of the mosaiced image is 15m. The image is in UTM Zone 42 (WGS84). See the quality field for a more detailed explanation. proprietary
LANDSAT_SURFACE_REFLECTANCE_L4-5_TM LANDSAT SURFACE REFLECTANCE L4-5 TM USGS_LTA STAC Catalog 1982-07-01 2013-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1220567986-USGS_LTA.umm_json Landsat satellite data have been produced, archived, and distributed by the U.S. Geological Survey (USGS) since 1972. Users rely on these data for historical study of land surface change but shoulder the burden of post-production processing to create applications-ready data sets. proprietary
@@ -9196,7 +9204,7 @@ LDEO_INDICES_INDIA All-India Monsoon Rainfall Index at LDEO/IRI Climate Data Lib
LEOLSTCMG30_001 Low Earth Orbit Land Surface Temperature Monthly Global Gridded V001 LPCLOUD STAC Catalog 2002-08-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2763264753-LPCLOUD.umm_json The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) LEOLSTCMG30 version 1 Climate Modeling Grid (CMG) product provides Land Surface Temperature (LST) derived from the Low Earth Orbit (LEO) satellite data record from the Moderate Resolution Imaging Spectroradiometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) instruments as well as LST error estimates for both day and night. The product will include global LST produced on CMG at monthly timesteps from 2002 to present. The MEaSUREs LEOLST product is generated by regridding the monthly LST CMG products from MODIS (MYD21C3.061) and VIIRS (VNP21C3.002). The product will be available on 0.25, 0.5, and 1 degree optimized climate grids with well characterized per-pixel uncertainties. A low-resolution browse is also available showing LST as an RGB (red, green, blue) image in PNG format. proprietary
LEOLSTCMG30_002 Low Earth Orbit Land Surface Temperature Monthly Global Gridded V002 LPDAAC_ECS STAC Catalog 2002-08-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2773138594-LPDAAC_ECS.umm_json The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) LEOLSTCMG30 version 2 Climate Modeling Grid (CMG) product provides Land Surface Temperature (LST) derived from the Low Earth Orbit (LEO) satellite data record from the Moderate Resolution Imaging Spectroradiometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) instruments as well as LST error estimates for both day and night. The product will include global LST produced on CMG at monthly timesteps from 2002 to present.The MEaSUREs LEOLST product is generated by regridding the monthly CMG products from Aqua MODIS (MYD21C3) and VIIRS (VNP21C3 and VJ121). The product is available on 0.25, 0.5, and 1 degree optimized climate grids with well characterized per-pixel uncertainties. A low-resolution browse is also available showing LST as an RGB (red, green, blue) image in PNG format. proprietary
LEO_0 Long-term Ecosystem Observatory (LEO) oceanographic and meteorological data collection system OB_DAAC STAC Catalog 2001-07-25 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360429-OB_DAAC.umm_json Measurements from the LEO station off the Atlantic Coast of New Jersey in 2001. proprietary
-LEVEL_1C__3_NA Proba-V 1Km, 333m, and 100m products ESA STAC Catalog 2013-11-28 -180, -56, 180, 75 https://cmr.earthdata.nasa.gov/search/concepts/C1965336924-ESA.umm_json The Proba-V VEGETATION Raw products (Level 1C/P) and synthesis products (Level 3, S1 = daily, S5 = 5 days, S10 = decade) ensure coverage of all significant landmasses worldwide with, in the case of a 10-day synthesis product, a minimum effect of cloud cover, resulting from selection of cloud-free acquisitions during the 10-day period. It ensures a daily coverage between Lat. 35°N and 75°N, and between 35°S and 56°S, and a full coverage every two days at equator. The VEGETATION instrument is pre-programmed with an indefinite repeated sequence of acquisitions. This nominal acquisition scenario allows a continuous series of identical products to be generated, aiming to map land cover and vegetation growth across the entire planet every two days.Products overview • Projection: Plate carrée projection • Spectral bands: All 4 + NDVI • Format: HDF5 & GeoTiFF The Proba-V VEGETATION Level 3 synthesis products are divided into so called granules, each measuring 10 degrees x 10 degrees, each granule being delivered as a single file. Level 3 products are: - Syntesys S1, with resolution 100m (TOA, TOC and TOC NDVI reflectance), 333m (TOA and TOC reflectance) and 1km (TOA and TOC reflectance) - Syntesys S5, with resolution 100m (TOA, TOC and TOC NDVI reflectance) - Syntesys S10, with resolution 333m (TOC and TOC NDVI reflectance) and 1km (TOC and TOC NDVI reflectance) proprietary
+LEVEL_1C__3_5.0 Proba-V 1Km, 333m, and 100m products ESA STAC Catalog 2013-11-28 -180, -56, 180, 75 https://cmr.earthdata.nasa.gov/search/concepts/C1965336924-ESA.umm_json The Proba-V VEGETATION Raw products (Level 1C/P) and synthesis products (Level 3, S1 = daily, S5 = 5 days, S10 = decade) ensure coverage of all significant landmasses worldwide with, in the case of a 10-day synthesis product, a minimum effect of cloud cover, resulting from selection of cloud-free acquisitions during the 10-day period. It ensures a daily coverage between Lat. 35°N and 75°N, and between 35°S and 56°S, and a full coverage every two days at equator. The VEGETATION instrument is pre-programmed with an indefinite repeated sequence of acquisitions. This nominal acquisition scenario allows a continuous series of identical products to be generated, aiming to map land cover and vegetation growth across the entire planet every two days.Products overview • Projection: Plate carrée projection • Spectral bands: All 4 + NDVI • Format: HDF5 & GeoTiFF The Proba-V VEGETATION Level 3 synthesis products are divided into so called granules, each measuring 10 degrees x 10 degrees, each granule being delivered as a single file. Level 3 products are: - Syntesys S1, with resolution 100m (TOA, TOC and TOC NDVI reflectance), 333m (TOA and TOC reflectance) and 1km (TOA and TOC reflectance) - Syntesys S5, with resolution 100m (TOA, TOC and TOC NDVI reflectance) - Syntesys S10, with resolution 333m (TOC and TOC NDVI reflectance) and 1km (TOC and TOC NDVI reflectance) proprietary
LF_Bibliography_1 Bibliography of papers relevant to longline fishing. AU_AADC STAC Catalog 1972-01-01 -180, -80, 180, 85 https://cmr.earthdata.nasa.gov/search/concepts/C1214313596-AU_AADC.umm_json The bibliography covers a wealth of published, 'grey', and unpublished literature addressing the effects of longline fishing on seabird mortality. The scope is global, but with a special emphasis on the Southern Ocean. Information on longline methodology is included and attention is given to materials that cover the various mitigation methods in use, tested or proposed. Further, information on the relevant aspects of the ecology of affected seabird species is covered, especially that dealing with mortality levels, at-sea distributions and population and conservation biology. Data sources covered include the scientific literature, popular publications, newspaper articles, videos, brochures, maps and posters, as well as government, NGO and IGO reports. proprietary
LGB_10m_traverse_1 10 m firn temperature data: LGB traverses 1990-95 AU_AADC STAC Catalog 1989-11-01 1995-02-28 54, -77, 78, -69 https://cmr.earthdata.nasa.gov/search/concepts/C1214313574-AU_AADC.umm_json The Lambert Glacier Basin (LGB) series of five oversnow traverses were conducted from 1989-95. Ten metre depth (10 m) firn temperatures, as a proxy indicator of annual mean surface temperature at a site, were recorded approximately every 30 km along the 2014 km main traverse route from LGB00 (68.6543 S, 61.1201 E) near Mawson Station, to LGB72 (69.9209 S, 76.4933 E) near Davis Station. 10 m depth firn temperatures were recorded manually in field notebooks and the data transferred to spreadsheet files (MS Excel). Summary data (30 km spatial resolution) can be obtained from CRC Research Note No.09 'Surface Mass Balance and Snow Surface Properties from the Lambert Glacier Basin Traverses 1990-94'. This work was completed as part of ASAC projects 3 and 2216. Some of this data have been stored in a very old format. The majority of files have been updated to current formats, but some files (kaleidograph files in particular) were not able to be modified due to a lack of appropriate software. However, these files are simply figures, and can be regenerated from the raw data (also provided). The fields in this dataset are: Latitutde Longitude Height Cane Distance Elevation Density Mass Accumulation Year Delta Oxygen-18 Grain Size Ice Crusts Depth Hoar proprietary
LGB_Del_traverse_1 Delta Oxygen-18 isotope data: LGB traverses 1989-95 AU_AADC STAC Catalog 1989-11-01 1995-02-28 54, -77, 78, -69 https://cmr.earthdata.nasa.gov/search/concepts/C1214313576-AU_AADC.umm_json The Lambert Glacier Basin (LGB) series of five oversnow traverses were conducted from 1989-95. Several shallow depth ice cores (15-60 m) were drilled at selected sites along 2014 km of the main traverse track from LGB00 (68.6543 S, 61.1201 E) near Mawson Station to LGB72 (69.9209 S,76.4933 E) near Davis Station, and at selected sites along a western traverse line from LGB00 toward Enderby Land. Surface cores (2 m) were collected at 30 km intervals along the entire route from LGB00-LGB72. Ice cores have been kept in cool storage at a local cold room storage facility. Isotope data from the cores have been saved in various spreadsheet files (mainly MS Excel). Initial summary data can be obtained from CRC Research Note No.09 'Surface mass balance and snow surface properties from the Lambert Glacier Basin Traverses 1990-94'. This work was completed as part of ASAC projects 3 and 2216. Some of this data have been stored in a very old format. The majority of files have been updated to current formats, but some files (kaleidograph files in particular) were not able to be modified due to a lack of appropriate software. However, these files are simply figures, and can be regenerated from the raw data (also provided). The fields in this dataset are: Latitutde Longitude Height Cane Distance Elevation Density Mass Accumulation Year Delta Oxygen-18 Grain Size Ice Crusts Depth Hoar proprietary
@@ -9316,17 +9324,21 @@ Land_Cover_surfaces_748_1 BigFoot Land Cover Surfaces for North and South Americ
Land_Use_Harmonization_V1_1248_1 LUH1: Harmonized Global Land Use for Years 1500-2100, V1 ORNL_CLOUD STAC Catalog 1500-01-01 2100-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2784898845-ORNL_CLOUD.umm_json These data represent fractional land use and land cover patterns annually for the years 1500 - 2100 for the globe at 0.5-degree (~50-km) spatial resolution. Land use categories of cropland, pasture, primary land, secondary (recovering) land, and urban land, and underlying annual land-use transitions, are included. Annual data on age and biomass density of secondary land, as well as annual wood harvest, are included for each grid cell. Historical land cover data for the years 1500 - 2005 are based on HYDE 3.1 and future land cover projections for the period 2006 - 2100 came from four Integrated Assessment Model (IAM) scenarios which reach different levels of radiative forcing by year 2100: MESSAGE (8.5 W/m2), AIM (6 W/m2), GCAM (4.5 W/m2), and IMAGE (2.6 W/m2). A key feature of these data is that historical reconstructions of land use were harmonized (computationally adjusted to minimize differences at the transition period) with modeled future scenarios, allowing for a seamless examination of historical and future land use. The output data present a single consistent, spatially gridded set of land-use change scenarios for studies of human impacts on the past, present, and future Earth system. For additional information about the algorithms, inputs, and options used in creating the land use transitions data, please refer to Hurtt et al. (2006) and Hurtt et al. (2011).Data are presented as a series of twenty (20) different data products representing different past and future model scenarios. There are a total of 560 NetCDF v4 files (*.nc4), one for each combination of data product and land use variable. proprietary
Land_Use_Harmonization_V2_1721_1 LUH2-ISIMIP2b Harmonized Global Land Use for the Years 2015-2100 ORNL_CLOUD STAC Catalog 2015-01-01 2100-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2764728966-ORNL_CLOUD.umm_json This dataset provides 0.25-degree gridded, global, annual estimates of fractional land use and land cover patterns for the period 2015-2100, designed to support the ISIMIP2b effort to assess the impacts of 1.5 Deg Celcius global warming. Land use types, land use transitions, and cropland estimates of area fraction are provided and include detailed separation of primary and secondary natural vegetation into forest and non-forest sub-types, pasture into managed pasture and rangeland, and cropland into multiple crop functional types; all transitions between land use states per grid cell per year, including crop rotations, shifting cultivation, and wood harvest; and agriculture management including irrigation, synthetic nitrogen fertilizer, and biofuel management. The LUH2-ISIMIP2b datasets were derived using Land Use Harmonization 2 (LUH2) methodology and are based on land-use scenarios provided by the REMIND-MAgPIE Integrated Assessment Model using an SSP2 storyline along with RCP2.6 and RCP6.0 emissions scenarios. In contrast to the standard SSP scenarios, these land use changes additionally account for climate and atmospheric CO2 fertilization effects on the underlying patterns of potential crop yields, water availability, and terrestrial carbon content. This is achieved by using the LPJmL (Lund-Potsdam-Jena managed land) model forced with atmospheric CO2 concentrations and patterns of climate change generated from 4 different climate models (GFDL, HADGEM, IPSL, and MIROC) consistent with the 2 different RCP scenarios, resulting in a set of 8 different LUH2-ISIMIP2b datasets. proprietary
Landcover_Colombian_Amazon_1783_1 CMS: Landsat-derived Annual Land Cover Maps for the Colombian Amazon, 2001-2016 ORNL_CLOUD STAC Catalog 2001-01-01 2016-12-31 -78.03, -3.88, -65.95, 5.38 https://cmr.earthdata.nasa.gov/search/concepts/C2389083233-ORNL_CLOUD.umm_json This dataset provides annual maps of land cover classes for the Colombian Amazon from 2001 through 2016 that were created by classifying time segments detected by the Continuous Change Detection and Classification (CCDC) algorithm. The CCDC algorithm detected changes in Landsat pixel surface reflectance across the time series, and the time segments were classified into land cover types using a Random Forest classifier and manually collected training data. Annual maps of land cover were created for each Landsat scene and then post-processed and mosaicked. Land cover types include unclassified, forest, natural grasslands, urban, pastures, secondary forest, water, or highly reflective surfaces. The training data are not included with this dataset. proprietary
-Landsat8.Collection2.European.Coverage_NA Landsat 8 Collection 2 European Coverage ESA STAC Catalog 2015-01-01 -20, -35, 35, 75 https://cmr.earthdata.nasa.gov/search/concepts/C2241716601-ESA.umm_json This dataset contains the European Coverage of Landsat 8 Collection 2 data, both Level 1 and Level 2, since the beginning of the mission. Landsat 8 Collection 2 is the result of reprocessing effort on the archive and on fresh products with significant improvement with respect to Collection 1 on data quality, obtained by means of advancements in data processing, algorithm development. The primary characteristic is a relevant improvement in the absolute geolocation accuracy (now re-baselined to the European Space Agency Copernicus Sentinel-2 Global Reference Image, GRI) but includes also updated digital elevation modelling sources, improved Radiometric Calibration (even correction for the TIRS striping effect), enhanced Quality Assessment Bands, updated and consistent metadata files, usage of Cloud Optimized Georeferenced (COG) Tagged Image File Format. Landsat 8 level 1 products combine data from the 2 Landsat instruments, OLI and TIRS. The level 1 products generated can be either L1TP or L1GT: • L1TP - Level 1 Precision Terrain (Corrected) (L1T) products: Radiometrically calibrated and orthorectified using ground control points (GCPs) and digital elevation model (DEM) data to correct for relief displacement. The highest quality Level-1 products suitable for pixel-level time series analysis. GCPs used for L1TP correction are derived from the Global Land Survey 2000 (GLS2000) data set. • L1GT - Level 1 Systematic Terrain (Corrected) (L1GT) products: L1GT data products consist of L0 product data with systematic radiometric, geometric and terrain corrections applied and resampled for registration to a cartographic projection, referenced to the WGS84, G873, or current version. The dissemination server contains three different classes of Level1 products • Real Time (RT): Newly acquired Landsat 8 OLI/TIRS data are processed upon downlink but use an initial TIRS line-of-sight model parameters; the data is made available in less than 12 hours (4-6 hours typically). Once the data have been reprocessed with the refined TIRS parameters, the products are transitioned to either Tier 1 or Tier 2 and removed from the Real-Time tier (in 14-16 days). • Tier 1 (T1): Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series analysis. Tier 1 includes Level-1 Precision and Terrain (L1TP) corrected data that have well-characterized radiometry and are inter-calibrated across the different Landsat instruments. The georegistration of Tier 1 scenes is consistent and within prescribed image-to-image tolerances of ≦ 12-meter radial root mean square error (RMSE). • Tier 2 (T2): Landsat scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. Tier 2 scenes adhere to the same radiometric standard as Tier 1 scenes, but do not meet the Tier 1 geometry specification due to less accurate orbital information (specific to older Landsat sensors), significant cloud cover, insufficient ground control, or other factors. This includes Systematic Terrain (L1GT) and Systematic (L1GS) processed data. Landsat 8 level 2 products are generated from L1GT and L1TP Level 1 products that meet the <76 degrees Solar Zenith Angle constraint and include the required auxiliary data inputs to generate a scientifically viable product. The data are available a couple of days after the Level1 T1/T2. The level 2 products generated can be L2SP or L2SR: • L2SP - Level 2 Science Products (L2SP) products: include Surface Reflectance (SR), Surface Temperature (ST), ST intermediate bands, an angle coefficients file, and Quality Assessment (QA) Bands. • L2SR - Level 2 Surface Reflectance (L2SR) products: include Surface Reflectance (SR), an angle coefficients file, and Quality Assessment (QA) Bands; it is generated if ST could not be generated Two different categories of Level 1 products are offered: LC with Optical, Thermal and Quality Map images, LO with Optical and Quality Map images (Thermal not available). For the Level 2 data, only LC combined products are generated proprietary
+Landsat5TMEuropeandNorthAfricaCoverage198485_5.0 Landsat 5 TM Europe and North Africa Coverage 1984-85 ESA STAC Catalog 1984-04-07 1985-12-03 -28, 20, 43, 73 https://cmr.earthdata.nasa.gov/search/concepts/C3325393802-ESA.umm_json This collections contains Landsat 5 Thematic Mapper (TM) imagery acquired over Europe and North Africa from April 1984 to December 1985. The available data products have a cloud cover percentage of less than 20%. The acquired Landsat 5 TM scenes have a footprint of approximately 183 x 172.8 km. A standard full scene is nominally centred on the intersection between a path and row (the actual image centre may deviate by up to 100 m). The data are system corrected. proprietary
+Landsat5TMEuropeandNorthAfricaCoverage198689_4.0 Landsat 5 TM Europe and North Africa Coverage 1986-89 ESA STAC Catalog 1986-01-08 1989-11-30 -28, 20, 43, 73 https://cmr.earthdata.nasa.gov/search/concepts/C3325394313-ESA.umm_json This collections contains Landsat 5 Thematic Mapper (TM) imagery acquired over Europe and North Africa from January 1986 to November 1989. The available data products have a cloud cover percentage of less than 20%. The acquired Landsat 5 TM scenes have a footprint of approximately 183 x 172.8 km. A standard full scene is nominally centred on the intersection between a path and row (the actual image centre may deviate by up to 100 m). The data are system corrected. proprietary
+Landsat5TMEuropeandNorthAfricaCoverage199598_4.0 Landsat 5 TM Europe and North Africa Coverage 1995-98 ESA STAC Catalog 1995-01-02 1998-12-26 -28, 20, 43, 73 https://cmr.earthdata.nasa.gov/search/concepts/C3325394552-ESA.umm_json This collections contains Landsat 5 Thematic Mapper (TM) imagery acquired over Europe and North Africa from January 1995 to December 1998. The available data products have a cloud cover percentage of less than 20%. The acquired Landsat 5 TM scenes have a footprint of approximately 183 x 172.8 km. A standard full scene is nominally centred on the intersection between a path and row (the actual image centre may deviate by up to 100 m). The data are system corrected. proprietary
+Landsat8.Collection2.European.Coverage_8.0 Landsat 8 Collection 2 European Coverage ESA STAC Catalog 2015-01-01 -20, -35, 35, 75 https://cmr.earthdata.nasa.gov/search/concepts/C2241716601-ESA.umm_json This dataset contains the European Coverage of Landsat 8 Collection 2 data, both Level 1 and Level 2, since the beginning of the mission. Landsat 8 Collection 2 is the result of reprocessing effort on the archive and on fresh products with significant improvement with respect to Collection 1 on data quality, obtained by means of advancements in data processing, algorithm development. The primary characteristic is a relevant improvement in the absolute geolocation accuracy (now re-baselined to the European Space Agency Copernicus Sentinel-2 Global Reference Image, GRI) but includes also updated digital elevation modelling sources, improved Radiometric Calibration (even correction for the TIRS striping effect), enhanced Quality Assessment Bands, updated and consistent metadata files, usage of Cloud Optimized Georeferenced (COG) Tagged Image File Format. Landsat 8 level 1 products combine data from the 2 Landsat instruments, OLI and TIRS. The level 1 products generated can be either L1TP or L1GT: • L1TP - Level 1 Precision Terrain (Corrected) (L1T) products: Radiometrically calibrated and orthorectified using ground control points (GCPs) and digital elevation model (DEM) data to correct for relief displacement. The highest quality Level-1 products suitable for pixel-level time series analysis. GCPs used for L1TP correction are derived from the Global Land Survey 2000 (GLS2000) data set. • L1GT - Level 1 Systematic Terrain (Corrected) (L1GT) products: L1GT data products consist of L0 product data with systematic radiometric, geometric and terrain corrections applied and resampled for registration to a cartographic projection, referenced to the WGS84, G873, or current version. The dissemination server contains three different classes of Level1 products • Real Time (RT): Newly acquired Landsat 8 OLI/TIRS data are processed upon downlink but use an initial TIRS line-of-sight model parameters; the data is made available in less than 12 hours (4-6 hours typically). Once the data have been reprocessed with the refined TIRS parameters, the products are transitioned to either Tier 1 or Tier 2 and removed from the Real-Time tier (in 14-16 days). • Tier 1 (T1): Landsat scenes with the highest available data quality are placed into Tier 1 and are considered suitable for time-series analysis. Tier 1 includes Level-1 Precision and Terrain (L1TP) corrected data that have well-characterized radiometry and are inter-calibrated across the different Landsat instruments. The georegistration of Tier 1 scenes is consistent and within prescribed image-to-image tolerances of ≦ 12-meter radial root mean square error (RMSE). • Tier 2 (T2): Landsat scenes not meeting Tier 1 criteria during processing are assigned to Tier 2. Tier 2 scenes adhere to the same radiometric standard as Tier 1 scenes, but do not meet the Tier 1 geometry specification due to less accurate orbital information (specific to older Landsat sensors), significant cloud cover, insufficient ground control, or other factors. This includes Systematic Terrain (L1GT) and Systematic (L1GS) processed data. Landsat 8 level 2 products are generated from L1GT and L1TP Level 1 products that meet the <76 degrees Solar Zenith Angle constraint and include the required auxiliary data inputs to generate a scientifically viable product. The data are available a couple of days after the Level1 T1/T2. The level 2 products generated can be L2SP or L2SR: • L2SP - Level 2 Science Products (L2SP) products: include Surface Reflectance (SR), Surface Temperature (ST), ST intermediate bands, an angle coefficients file, and Quality Assessment (QA) Bands. • L2SR - Level 2 Surface Reflectance (L2SR) products: include Surface Reflectance (SR), an angle coefficients file, and Quality Assessment (QA) Bands; it is generated if ST could not be generated Two different categories of Level 1 products are offered: LC with Optical, Thermal and Quality Map images, LO with Optical and Quality Map images (Thermal not available). For the Level 2 data, only LC combined products are generated proprietary
Landsat8_Sentinel2_Phenocam_2248_1 Phenology derived from Satellite Data and PhenoCam across CONUS and Alaska, 2019-2020 ORNL_CLOUD STAC Catalog 2019-01-01 2020-12-31 -145.85, 27.13, -68.68, 63.93 https://cmr.earthdata.nasa.gov/search/concepts/C2775078742-ORNL_CLOUD.umm_json This dataset provides a reference of land surface phenology (LSP) at 30-m pixels for 78 regions of 10 x 10 km2 across a wide range of ecological and climatic regions in North America during 2019 and 2020. The data were derived by fusing the Harmonized Landsat 8 and Sentinel-2 (HLS) observations with near- surface PhenoCam time series (hereafter called HP-LSP). The HP-LSP dataset consists of two parts: (1) the 3-day synthetic gap-free EVI2 (two-band Enhanced Vegetation Index) time series and (2) four key phenological transition dates that are greenup onset, maturity onset, senescence onset, and dormancy onset (accuracy less than or equal to five days). The PhenoCam network offers near-surface observations via the RGB (Red, Green, and Blue) imagery every 30 minutes. Each RGB imagery enables us to calculate as many as 100 Green Chromatic Coordinate (GCC) for generating a collection of localized vegetation dynamics. The HLS EVI2 time series with frequent gaps was fused with the most comparable PhenoCam GCC temporal shape selected from the GCC collection using the Spatiotemporal Shape Matching Model (SSMM) to create the synthetic gap-free HLS-PhenoCam EVI2 time series, which was used to establish the physically-based hybrid piecewise logistic model (HPLM) for detecting phenological transition dates (phenometrics). proprietary
-LandsatETMCloudFree_NA Landsat 7 ETM+ European and Mediterranean Countries Cloud Free Collection ESA STAC Catalog 1999-07-01 2003-04-01 20, -25, 50, 75 https://cmr.earthdata.nasa.gov/search/concepts/C2547572329-ESA.umm_json This dataset contains the cloud-free products from Landsat 7 Enhanced Thematic Mapper collection acquired over Europe, North Africa and middle East; for each scene only one product is selected, with the minimal cloud coverage. The Landsat 7 ETM+ scenes typically cover 185 x 170 km. A standard full scene is nominally centred on the intersection between a Path and Row (the actual image centre can vary by up to 100m). The data are system corrected. proprietary
-LandsatTMCloudFree_NA Landsat 5 TM European and Mediterranean Countries Cloud Free Collection ESA STAC Catalog 1987-04-01 1995-08-01 20, -25, 50, 75 https://cmr.earthdata.nasa.gov/search/concepts/C2547579331-ESA.umm_json This dataset contains the cloud-free products from Landsat 5 Thematic Mapper collection acquired over Europe, North Africa and middle East; for each scene only one product is selected, with the minimal cloud coverage. The acquired Landsat TM scene covers approximately 183 x 172.8 km. A standard full scene is nominally centred on the intersection between a path and row (the actual image centre can vary by up to 100 m). The data are system corrected. proprietary
+LandsatETMCloudFree_9.0 Landsat 7 ETM+ European and Mediterranean Countries Cloud Free Collection ESA STAC Catalog 1999-07-10 2003-05-23 -27, 19, 47, 73 https://cmr.earthdata.nasa.gov/search/concepts/C2547572329-ESA.umm_json This dataset contains the cloud-free products from Landsat 7 Enhanced Thematic Mapper collection acquired over Europe, North Africa and middle East; for each scene only one product is selected, with the minimal cloud coverage. The Landsat 7 ETM+ scenes typically cover 185 x 170 km. A standard full scene is nominally centred on the intersection between a Path and Row (the actual image centre can vary by up to 100m). The data are system corrected. proprietary
+LandsatTMCloudFree_10.0 Landsat 5 TM European and Mediterranean Countries Cloud Free Collection ESA STAC Catalog 1986-09-18 1995-09-24 -28, 20, 43, 73 https://cmr.earthdata.nasa.gov/search/concepts/C2547579331-ESA.umm_json This dataset contains the cloud-free products from Landsat 5 Thematic Mapper collection acquired over Europe, North Africa and middle East; for each scene only one product is selected, with the minimal cloud coverage. The acquired Landsat TM scene covers approximately 183 x 172.8 km. A standard full scene is nominally centred on the intersection between a path and row (the actual image centre can vary by up to 100 m). The data are system corrected. proprietary
Landsat_8 Landsat 8 USGS_LTA STAC Catalog 2013-02-11 -180, -82.71, 180, 82.74 https://cmr.earthdata.nasa.gov/search/concepts/C1235542031-USGS_LTA.umm_json The Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) are onboard the Landsat 8 satellite, have acquired images of the Earth since February 2013. The sensors collect images of the Earth with a 16-day repeat cycle, referenced to the Worldwide Reference System-2. The approximate scene size is 170 km north-south by 183 km east-west (106 mi by 114 mi). Landsat 8 image data files consist of 11 spectral bands with a spatial resolution of 30 meters for bands 1-7 and bands 9-11; 15-meters for the panchromatic band 8. Delivered Landsat 8 Level-1 data typically include both OLI and TIRS data files; however, there may be OLI-only and/or TIRS-only scenes in the USGS archive. A Quality Assurance (QA.tif) band is also included. This file provides bit information regarding conditions that may affect the accuracy and usability of a given pixel – clouds, water or snow, for example. proprietary
-Landsat_MSS_ESA_Archive_NA Landsat MSS ESA Archive ESA STAC Catalog 1975-04-25 1993-12-31 -22, -24, 44, 71 https://cmr.earthdata.nasa.gov/search/concepts/C1965336926-ESA.umm_json This dataset contains all the Landsat 1 to Landsat 5 Multi Spectral Scanner (MSS) high-quality ortho-rectified L1T dataset acquired by ESA over the Fucino, Kiruna (active from April to September only) and Maspalomas (on campaign basis) visibility masks. The acquired Landsat MSS scene covers approximately 183 x 172.8 km. A standard full scene is nominally centred on the intersection between a path and row (the actual image centre can vary by up to 200m). The altitude changed from 917 Km to 705 km and therefore two World Reference Systems (WRS) were. A full image is composed of 3460 pixels x 2880 lines with a pixel size of 60m. Level 1 Geometrically and terrain corrected GTC products (L1T) are available: it is the most accurate level of processing as it incorporates Ground Control Points (GCPs) and a Digital Elevation Model (DEM) to provide systematic geometric and topographic accuracy, with geodetic accuracy dependent on the number, spatial distribution and accuracy of the GCPs over the scene extent, and the resolution of the DEM used. proprietary
+Landsat_MSS_ESA_Archive_9.0 Landsat MSS ESA Archive ESA STAC Catalog 1975-04-21 1993-12-31 -22, -24, 44, 71 https://cmr.earthdata.nasa.gov/search/concepts/C1965336926-ESA.umm_json This dataset contains all the Landsat 1 to Landsat 5 Multi Spectral Scanner (MSS) high-quality ortho-rectified L1T dataset acquired by ESA over the Fucino, Kiruna (active from April to September only) and Maspalomas (on campaign basis) visibility masks. The acquired Landsat MSS scene covers approximately 183 x 172.8 km. A standard full scene is nominally centred on the intersection between a path and row (the actual image centre can vary by up to 200m). The altitude changed from 917 Km to 705 km and therefore two World Reference Systems (WRS) were. A full image is composed of 3460 pixels x 2880 lines with a pixel size of 60m. Level 1 Geometrically and terrain corrected GTC products (L1T) are available: it is the most accurate level of processing as it incorporates Ground Control Points (GCPs) and a Digital Elevation Model (DEM) to provide systematic geometric and topographic accuracy, with geodetic accuracy dependent on the number, spatial distribution and accuracy of the GCPs over the scene extent, and the resolution of the DEM used. proprietary
+Landsat_RBV_8.0 Landsat RBV ESA STAC Catalog 1978-11-01 2018-08-01 20, -90, 50, 75 https://cmr.earthdata.nasa.gov/search/concepts/C3325393983-ESA.umm_json This dataset contains Landsat 3 Return Beam Vidicon (RBV) products, acquired by ESA by the Fucino ground station over its visibility mask. The data (673 scenes) are the result of the digitalization of the original 70 millimetre (mm) black and white film rolls. The RBV instrument was mounted on board the Landsat 1 to 3 satellites between 1972 and 1983, with 80 meter resolution. Three independent co-aligned television cameras, one for each spectral band (band 1: blue-green, band 2: yellow-red, band 3: NIR), constituted this instrument. The RBV system was redesigned for Landsat 3 to use two cameras operating in one broad spectral band (green to near-infrared; 0.505–0.750 µm), mounted side-by-side, with panchromatic spectral response and higher spatial resolution than on Landsat-1 and Landsat-2. Each of the cameras produced a swath of about 90 km (for a total swath of 180 km), with a spatial resolution of 40 m. proprietary
Large_River_DOC_Export_0 Export of dissolved organic carbon (DOC) by large rivers OB_DAAC STAC Catalog 2015-05-23 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360426-OB_DAAC.umm_json Measurements taken as a part of a project to quanitfy and assess the export of dissolved organic carbon by large rivers. proprietary
Last_Day_Spring_Snow_1528_1 ABoVE: Last Day of Spring Snow, Alaska, USA, and Yukon Territory, Canada, 2000-2016 ORNL_CLOUD STAC Catalog 2000-04-01 2016-07-02 -175.76, 52.17, -97.95, 68.97 https://cmr.earthdata.nasa.gov/search/concepts/C2162119017-ORNL_CLOUD.umm_json "This dataset provides the last day of spring snow cover for most of Alaska and the Yukon Territory for 2000 through 2016. The data are based on the MODIS daily snow cover fraction product (MODSCAG) and are provided at 500-m resolution. Pixels in the daily snow cover fraction grids from April 1 through July 31 were flagged as ""Snow"" if the snow fraction exceeded 0.15, resulting in a time series of binary daily snow cover grids for each year. The annual last day of spring snow for each pixel was identified by day of the year ranging from 91 (April 1) to 183 (July 2)." proprietary
Leaf_Carbon_Nutrients_1106_1 A Global Database of Carbon and Nutrient Concentrations of Green and Senesced Leaves ORNL_CLOUD STAC Catalog 1970-01-01 2009-12-31 -159.7, -50, 176.9, 68.5 https://cmr.earthdata.nasa.gov/search/concepts/C2784383820-ORNL_CLOUD.umm_json This data set provides carbon (C), nitrogen (N), phosphorus (P), potassium (K), calcium (Ca), and magnesium (Mg) concentrations in green and senesced leaves. Vegetation characteristics reported include species growth habit, leaf area, mass, and mass loss with senescence. The data were compiled from 86 selected studies in 31 countries, and resulted in approximately 1,000 data points for both green and senesced leaves from woody and non-woody vegetation as described in Vergutz et al (2012). The studies were conducted from 1970-2009. There are two comma-delimited data files with this data set. proprietary
Leaf_Photosynthesis_Traits_1224_1 A Global Data Set of Leaf Photosynthetic Rates, Leaf N and P, and Specific Leaf Area ORNL_CLOUD STAC Catalog 1993-01-01 2010-12-31 -122.4, -43.2, 176.13, 58.42 https://cmr.earthdata.nasa.gov/search/concepts/C2784384781-ORNL_CLOUD.umm_json This global data set of photosynthetic rates and leaf nutrient traits was compiled from a comprehensive literature review. It includes estimates of Vcmax (maximum rate of carboxylation), Jmax (maximum rate of electron transport), leaf nitrogen content (N), leaf phosphorus content (P), and specific leaf area (SLA) data from both experimental and ambient field conditions, for a total of 325 species and treatment combinations. Both the original published Vcmax and Jmax values as well as estimates at standard temperature are reported. The maximum rate of carboxylation (Vcmax) and the maximum rate of electron transport (Jmax) are primary determinants of photosynthetic rates in plants, and modeled carbon fluxes are highly sensitive to these parameters. Previous studies have shown that Vcmax and Jmax correlate with leaf nitrogen across species and regions, and locally across species with leaf phosphorus and specific leaf area, yet no universal relationship suitable for global-scale models is currently available. These data are suitable for exploring the general relationships of Vcmax and Jmax with each other and with leaf N, P and SLA. This data set contains one *.csv file. proprietary
-Level_2A_aerosol_cloud_optical_products_NA Aeolus L2A Aerosol/Cloud optical product ESA STAC Catalog 2021-05-26 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2207498185-ESA.umm_json "The Level 2A aerosol/cloud optical products of the Aeolus mission include geo-located consolidated backscatter and extinction profiles, backscatter-to-extinction coefficient, LIDAR ratio, scene classification, heterogeneity index and attenuated backscatter signals. Resolution - Horizontal resolution of L2A optical properties at observation scale (~87 km); Exceptions are group properties (horizontal accumulation of measurements from ~3 km to ~87 km) and attenuated backscatters (~3 km); Note: the resolution of ""groups"" in the L2A can only go down to 5 measurements at the moment, i.e. ~15 km horizontal resolution. This could be configured to go to 1 measurement - Vertical resolution 250-2000 m (Defined by Range Bin Settings https://earth.esa.int/eogateway/instruments/aladin/overview-of-the-main-wind-rbs-changes)." proprietary
+Level_2A_aerosol_cloud_optical_products_3.0 Aeolus L2A Aerosol/Cloud optical product ESA STAC Catalog 2021-05-26 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2207498185-ESA.umm_json The Level 2A aerosol/cloud optical products of the Aeolus mission include geo-located consolidated backscatter and extinction profiles, backscatter-to-extinction coefficient, LIDAR ratio, scene classification, heterogeneity index and attenuated backscatter signals. Resolution - Horizontal resolution of L2A optical properties at observation scale (~87 km); Exceptions are group properties (horizontal accumulation of measurements from ~3 km to ~87 km) and attenuated backscatters (~3 km); Note: the resolution of "groups" in the L2A can only go down to 5 measurements at the moment, i.e. ~15 km horizontal resolution. This could be configured to go to 1 measurement - Vertical resolution 250-2000 m (Defined by Range Bin Settings https://earth.esa.int/eogateway/instruments/aladin/overview-of-the-main-wind-rbs-changes). proprietary
LiDAR_Forest_Inventory_Brazil_1644_1 LiDAR Surveys over Selected Forest Research Sites, Brazilian Amazon, 2008-2018 ORNL_CLOUD STAC Catalog 2008-01-01 2018-12-31 -68.3, -26.7, -39.06, -1.58 https://cmr.earthdata.nasa.gov/search/concepts/C2398128915-ORNL_CLOUD.umm_json This dataset provides the complete catalog of point cloud data collected during LiDAR surveys over selected forest research sites across the Amazon rainforest in Brazil between 2008 and 2018 for the Sustainable Landscapes Brazil Project. Flight lines were selected to overfly key field research sites in the Brazilian states of Acre, Amazonas, Bahia, Goias, Mato Grosso, Para, Rondonia, Santa Catarina, and Sao Paulo. The point clouds have been georeferenced, noise-filtered, and corrected for misalignment of overlapping flight lines. They are provided in 1 km2 tiles. The data were collected to measure forest canopy structure across Amazonian landscapes to monitor the effects of selective logging on forest biomass and carbon balance, and forest recovery over time. proprietary
LiDAR_Tundra_Forest_AK_1782_1 ABoVE: Terrestrial Lidar Scanning Forest-Tundra Ecotone, Brooks Range, Alaska, 2016 ORNL_CLOUD STAC Catalog 2016-06-14 2016-06-25 -149.76, 67.97, -149.71, 68.02 https://cmr.earthdata.nasa.gov/search/concepts/C2143401877-ORNL_CLOUD.umm_json This dataset provides terrestrial lidar scanning (TLS) point cloud data collected at 10 research plots along the forest-tundra ecotone (FTE) in the Brooks Range of Alaska, south of Chandalar Shelf and Atigun Pass on the east side of the Dalton Highway. Data were collected in mid-June 2016. Data were acquired for each plot from multiple scan positions with a Leica ScanStation C10 green wavelength laser instrument. After processing the point spacing is < 1 cm. TLS enables resolution of 3-dimensional landscape features that can be used to derive ecologically important metrics of canopy structure and surface topography at high spatial resolution. proprietary
LiDAR_Veg_Ht_Idaho_1532_1 LiDAR Data, DEM, and Maximum Vegetation Height Product from Southern Idaho, 2014 ORNL_CLOUD STAC Catalog 2014-08-23 2014-08-31 -116.89, 42.28, -114.68, 43.33 https://cmr.earthdata.nasa.gov/search/concepts/C2767326506-ORNL_CLOUD.umm_json This dataset provides the point cloud data derived from small footprint waveform LiDAR data collected in August 2014 over Reynolds Creek Experimental Watershed and Hollister in southern Idaho. The LiDAR data have been georeferenced, noise-filtered, and corrected for misalignment for overlapping flight lines and are provided in 1 km tiles. High resolution digital elevation models and maps of maximum vegetation height derived from the LiDAR data are provided for each site. proprietary
@@ -9703,8 +9715,8 @@ MCDWD_L3_F3_NRT_6.1 MODIS/Aqua+Terra Global Flood Product L3 NRT 250m 3-day GeoT
MCDWD_L3_NRT_6.1 MODIS/Aqua+Terra Global Flood Product L3 NRT 250m LANCEMODIS STAC Catalog 2021-03-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2018599131-LANCEMODIS.umm_json The MODIS/Aqua+Terra Global Flood Product L3 Near Real Time (NRT) 250m Global Flood Product (MCDWD_L3_NRT) (beta) provides daily maps of flooding globally. The product is provided over 3 compositing periods (1-day, 2-day, and 3-day) to minimize the impact of clouds and more rigorously identify flood water (the best composite will depend on the cloudiness for a particular event). The beta version of the product will be updated. For more information, visit product page at: https://earthdata.nasa.gov/earth-observation-data/near-real-time/mcdwd-nrt proprietary
MCR_LTER_0 Moorea Coral Reef Long-Term Ecological Research site (MCR LTER) OB_DAAC STAC Catalog 2014-07-19 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360475-OB_DAAC.umm_json Water quality measurements taken near the island of Moorea, French Polynesia, as part of the Moorea Coral Reef Long-Term Ecological Research site (MCR LTER). proprietary
MELVILLE_0 Measurements off the coast of Baja California onboard R/V Melville in 1999 OB_DAAC STAC Catalog 1999-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360478-OB_DAAC.umm_json Measurements taken in the eastern Pacific Ocean off the coast of Baja California in 1999. proprietary
-MER.RR__1P_NA Envisat MERIS Reduced Resolution - Level 1 [MER_RR__1P/ME_1_RRG] ESA STAC Catalog 2002-04-29 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336927-ESA.umm_json "The MERIS Level 1 Reduced Resolution (RR) product contains the Top of Atmosphere (TOA) upwelling spectral radiance measures at reduced resolution. The in-band reference irradiances for the 15 MERIS bands are computed by averaging the in-band solar irradiance of each pixel. The in-band solar irradiance of each pixel is computed by integrating the reference solar spectrum with the band-pass of each pixel. The MERIS RR Level 1 product has Sentinel 3-like format starting from the 4th reprocessing data released to users in July 2020. Each measurement and annotation data file is in NetCDF 4. The Level 1 product is composed of 22 measurements data files: 15 files containing radiances at each band (one band per file), accompanied by the associated error estimates, and 7 annotation data files. The band-pass of each pixel is derived from on-ground and in-flight characterisation via an instrument model. The values ""Band wavelength"" and ""Bandwidth"" provided in the Manifest file of the Level 1 products are the averaged band-pass of each pixel over the instrument field of view. The Auxiliary data used are listed in the Manifest file associated to each product. MERIS was operating continuously on the day side of the Envisat orbit (descending track). RR data was acquired over 43.5 minutes in each orbit, i.e. 80% of the descending track." proprietary
-MER.RR__2P_NA Envisat MERIS Reduced Resolution Geophysical Product - Level 2 [MER_RR__2P] ESA STAC Catalog 2002-04-29 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2207506352-ESA.umm_json MERIS RR Level 2 is a Reduced Resolution (RR) Geophysical product for Ocean, Land and Atmosphere. Each MERIS Level 2 geophysical product is derived from a MERIS Level 1 product and auxiliary parameter files specific to the MERIS Level 2 processing. The MERIS RR Level 2 product has Sentinel 3-like format starting from the 4th reprocessing data released to users in July 2020. The data package is composed of NetCDF 4 files containing instrumental and scientific measurements, and a Manifest file, which contains metadata information related to the description of the product. A Level 2 product is composed of 64 measurement files containing mainly: 13 files containing Water-leaving reflectance, 13 files containing Land surface reflectance and 13 files containing the TOA reflectance (for all bands except those dedicated to measurement of atmospheric gas - M11 and M15), and several files containing additional measurement on Ocean, Land and Atmospheric parameters. The Auxiliary data used are listed in the Manifest file associated to each product. MERIS was operating continuously on the day side of the Envisat orbit (descending track). RR data was acquired over 43.5 minutes in each orbit, i.e. 80% of the descending track. proprietary
+MER.RR__1P_5.0 Envisat MERIS Reduced Resolution - Level 1 [MER_RR__1P/ME_1_RRG] ESA STAC Catalog 2002-04-29 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336927-ESA.umm_json The MERIS Level 1 Reduced Resolution (RR) product contains the Top of Atmosphere (TOA) upwelling spectral radiance measures at reduced resolution. The in-band reference irradiances for the 15 MERIS bands are computed by averaging the in-band solar irradiance of each pixel. The in-band solar irradiance of each pixel is computed by integrating the reference solar spectrum with the band-pass of each pixel. The MERIS RR Level 1 product has Sentinel 3-like format starting from the 4th reprocessing data released to users in July 2020. Each measurement and annotation data file is in NetCDF 4. The Level 1 product is composed of 22 measurements data files: 15 files containing radiances at each band (one band per file), accompanied by the associated error estimates, and 7 annotation data files. The band-pass of each pixel is derived from on-ground and in-flight characterisation via an instrument model. The values "Band wavelength" and "Bandwidth" provided in the Manifest file of the Level 1 products are the averaged band-pass of each pixel over the instrument field of view. The Auxiliary data used are listed in the Manifest file associated to each product. MERIS was operating continuously on the day side of the Envisat orbit (descending track). RR data was acquired over 43.5 minutes in each orbit, i.e. 80% of the descending track. proprietary
+MER.RR__2P_8.0 Envisat MERIS Reduced Resolution Geophysical Product - Level 2 [MER_RR__2P] ESA STAC Catalog 2002-04-29 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2207506352-ESA.umm_json MERIS RR Level 2 is a Reduced Resolution (RR) Geophysical product for Ocean, Land and Atmosphere. Each MERIS Level 2 geophysical product is derived from a MERIS Level 1 product and auxiliary parameter files specific to the MERIS Level 2 processing. The MERIS RR Level 2 product has Sentinel 3-like format starting from the 4th reprocessing data released to users in July 2020. The data package is composed of NetCDF 4 files containing instrumental and scientific measurements, and a Manifest file, which contains metadata information related to the description of the product. A Level 2 product is composed of 64 measurement files containing mainly: 13 files containing Water-leaving reflectance, 13 files containing Land surface reflectance and 13 files containing the TOA reflectance (for all bands except those dedicated to measurement of atmospheric gas - M11 and M15), and several files containing additional measurement on Ocean, Land and Atmospheric parameters. The Auxiliary data used are listed in the Manifest file associated to each product. MERIS was operating continuously on the day side of the Envisat orbit (descending track). RR data was acquired over 43.5 minutes in each orbit, i.e. 80% of the descending track. proprietary
MERCHANT_SHIP_0 Merchant ships measurements in Micronesia and the Southern Ocean OB_DAAC STAC Catalog 1997-10-26 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360480-OB_DAAC.umm_json Measurements from merchant ships taken in Micronesia and the Southern Ocean between 1997 and 2000. proprietary
MERGED_S3_OLCI_L3b_CYANTC_5.0 Merged Sentinel-3A and Sentinel-3B OLCI Global Binned CyAN Project, True Color (TC) Data, version 5.0 OB_DAAC STAC Catalog 2016-04-25 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2585741154-OB_DAAC.umm_json Cyanobacteria Assessment Network (CyAN) is a multi-agency project among EPA, the National Aeronautics and Space Administration (NASA), the National Oceanic and Atmospheric Administration (NOAA), and the United States Geological Survey (USGS) to support the environmental management and public use of U.S. lakes and estuaries by providing a capability of detecting and quantifying cyanobacteria algal blooms. The sensor spatial resolution is 300m. The CONUS images use a 50m land mask, while the Alaska product uses a less refined 500m land mask. The temporal resolution depends on the sensor and date with best coverage since 2018, as images utilize sensors on two Sentinel-3 satellites. proprietary
MERGED_S3_OLCI_L3b_CYANTC_NRT_5.0 Merged Sentinel-3A and Sentinel-3B OLCI Global Binned CyAN Project, True Color (TC) - Near Real-Time (NRT) Data, version 5.0 OB_DAAC STAC Catalog 2016-04-25 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2561589514-OB_DAAC.umm_json The Ocean Biology DAAC produces near real-time (quicklook) products using the best-available combination of ancillary data from meteorological and ozone data. As such, the inputs and the calibration used are less than optimal. Quicklook products provide a snapshot of the data during a short time period within a single orbit. proprietary
@@ -9771,8 +9783,8 @@ MERIS_L4b_GSM_R2022.0 ENVISAT MERIS 4B Global Binned Garver-Siegel-Maritorena Mo
MERIS_L4m_GSM_2022.0 ENVISAT MERIS Level-4 Global Mapped Garver-Siegel-Maritorena Model (GSM) Data, version 2022.0 OB_CLOUD STAC Catalog 2002-03-21 2012-05-09 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3288082302-OB_CLOUD.umm_json MERIS (Medium Resolution Imaging Spectrometer) is a programmable, medium-spectral resolution, imaging spectrometer operating in the solar reflective spectral range. Fifteen spectral bands can be selected by ground command. The instrument scans the Earth's surface by the so called 'push-broom' method. Linear CCD arrays provide spatial sampling in the across-track direction, while the satellite's motion provides scanning in the along-track direction. MERIS is designed so that it can acquire data over the Earth whenever illumination conditions are suitable. The instrument's 68.5-degree field-of-view around nadir covers a swath width of 1150 km. This wide field of view is shared between five identical optical modules arranged in a fan shape configuration. proprietary
MERIS_L4m_GSM_R2022.0 ENVISAT MERIS 4M Global Mapped Garver-Siegel-Maritorena Model (GSM) Data, version R2022.0 OB_DAAC STAC Catalog 2002-03-21 2012-05-09 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2802700390-OB_DAAC.umm_json MERIS (Medium Resolution Imaging Spectrometer) is a programmable, medium-spectral resolution, imaging spectrometer operating in the solar reflective spectral range. Fifteen spectral bands can be selected by ground command. The instrument scans the Earth's surface by the so called 'push-broom' method. Linear CCD arrays provide spatial sampling in the across-track direction, while the satellite's motion provides scanning in the along-track direction. MERIS is designed so that it can acquire data over the Earth whenever illumination conditions are suitable. The instrument's 68.5-degree field-of-view around nadir covers a swath width of 1150 km. This wide field of view is shared between five identical optical modules arranged in a fan shape configuration. proprietary
MERRA2_CNN_HAQAST_PM25_1 MERRA2_CNN_HAQAST bias corrected global hourly surface total PM2.5 mass concentration, V1 (MERRA2_CNN_HAQAST_PM25) at GES DISC GES_DISC STAC Catalog 2000-01-01 2024-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3094710982-GES_DISC.umm_json This product provides MERRA-2 bias-corrected global hourly surface total PM2.5 mass concentration with the same horizontal spatial resolution as MERRA-2, covering a temporal range from 2000 to 2024. It is derived using a machine learning (ML) approach with a convolutional neural network (CNN) method and is specifically developed for the NASA Health and Air Quality Applied Sciences Team (HAQAST). The dataset consists of two parameters: MERRA2_CNN_Surface_PM25 and QFLAG. MERRA2_CNN_Surface_PM25, a 3-dimensional variable (time, latitude, longitude), represents the surface PM2.5 concentrations in µg/m³. QFLAG denotes the quality of data at each grid point, where 4 indicates the highest quality and 1 indicates the lowest quality. It is recommended to use QFLAG values of 3 and 4 for quantitative analysis. proprietary
-MER_FRS_1P_NA Envisat MERIS Full Resolution - Level 1 [MER_FRS_1P/ME_1_FRG] ESA STAC Catalog 2002-05-17 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2207506362-ESA.umm_json "The MERIS Level 1 Full Resolution (FR) product contains the Top of Atmosphere (TOA) upwelling spectral radiance measures. The in-band reference irradiances for the 15 MERIS bands are computed by averaging the in-band solar irradiance of each pixel. The in-band solar irradiance of each pixel is computed by integrating the reference solar spectrum with the band-pass of each pixel. The MERIS FR Level 1 product has Sentinel 3-like format starting from the 4th reprocessing data released to users in July 2020. Each measurement and annotation data file is in NetCDF 4. The Level 1 product is composed of 22 data files: 15 files containing radiances at each band (one band per file), accompanied by the associated error estimates, and 7 annotation data files. The 15 sun spectral flux values provided in the instrument data file of the Level 1 products are the in-band reference irradiances adjusted for the Earth-sun distance at the time of measurement. The band-pass of each pixel is derived from on-ground and in-flight characterisation via an instrument model. The values ""Band wavelength"" and ""Bandwidth"" provided in the Manifest file of the Level 1b products are the averaged band-pass of each pixel over the instrument field of view. Auxiliary data are also listed in the Manifest file associated to each product. The Level 1 FR product covers the complete instrument swath. The product duration is not fixed and it can span up to the time interval of the input Level 0 (for a maximum of 20 minutes). Thus the estimated size of the Level 1 FR is dependent on the start/stop time of the acquired segment. During the Envisat mission, acquisition of MERIS Full Resolution data was subject to dedicated planning based on on-demand ordering and coverage of specific areas according to operational recommendations and considerations. See yearly and global density maps to get a better overview of the MERIS FR coverage." proprietary
-MER_FRS_2P_NA Envisat MERIS Full Resolution - Level 2 [MER_FRS_2P/ME_2_FRG] ESA STAC Catalog 2002-05-17 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2207506787-ESA.umm_json MERIS FR Level 2 is a Full-Resolution Geophysical product for Ocean, Land and Atmosphere. Each MERIS Level 2 geophysical product is derived from a MERIS Level 1 product and auxiliary parameter files specific to the MERIS Level 2 processing. The MERIS FR Level 2 product has Sentinel 3-like format starting from the 4th reprocessing data released to users in July 2020. The data package is composed of NetCDF 4 files containing instrumental and scientific measurements, and a Manifest file which contains metadata information related to the description of the product. A Level 2 product is composed of 64 measurement files containing: 13 files containing Water-leaving reflectance, 13 files containing Land surface reflectance and 13 files containing the TOA reflectance (for all bands except those dedicated to measurement of atmospheric gas - M11 and M15), and several files containing additional measurement on Ocean, Land and Atmospheric parameters and annotation. The Auxiliary data used are listed in the Manifest file associated to each product. The Level 2 FR product covers the complete instrument swath. The product duration is not fixed and it can span up to the time interval of the input Level 0/Level 1. Thus the estimated size of the Level 2 FR is dependent on the start/stop time of the acquired segment. During the Envisat mission, acquisition of MERIS Full Resolution data was subject to dedicated planning based on on-demand ordering and coverage of specific areas according to operational recommendations and considerations. See yearly and global density maps to get a better overview of the MERIS FR coverage. proprietary
+MER_FRS_1P_8.0 Envisat MERIS Full Resolution - Level 1 [MER_FRS_1P/ME_1_FRG] ESA STAC Catalog 2002-05-17 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2207506362-ESA.umm_json The MERIS Level 1 Full Resolution (FR) product contains the Top of Atmosphere (TOA) upwelling spectral radiance measures. The in-band reference irradiances for the 15 MERIS bands are computed by averaging the in-band solar irradiance of each pixel. The in-band solar irradiance of each pixel is computed by integrating the reference solar spectrum with the band-pass of each pixel. The MERIS FR Level 1 product has Sentinel 3-like format starting from the 4th reprocessing data released to users in July 2020. Each measurement and annotation data file is in NetCDF 4. The Level 1 product is composed of 22 data files: 15 files containing radiances at each band (one band per file), accompanied by the associated error estimates, and 7 annotation data files. The 15 sun spectral flux values provided in the instrument data file of the Level 1 products are the in-band reference irradiances adjusted for the Earth-sun distance at the time of measurement. The band-pass of each pixel is derived from on-ground and in-flight characterisation via an instrument model. The values "Band wavelength" and "Bandwidth" provided in the Manifest file of the Level 1b products are the averaged band-pass of each pixel over the instrument field of view. Auxiliary data are also listed in the Manifest file associated to each product. The Level 1 FR product covers the complete instrument swath. The product duration is not fixed and it can span up to the time interval of the input Level 0 (for a maximum of 20 minutes). Thus the estimated size of the Level 1 FR is dependent on the start/stop time of the acquired segment. During the Envisat mission, acquisition of MERIS Full Resolution data was subject to dedicated planning based on on-demand ordering and coverage of specific areas according to operational recommendations and considerations. See yearly and global density maps to get a better overview of the MERIS FR coverage. proprietary
+MER_FRS_2P_8.0 Envisat MERIS Full Resolution - Level 2 [MER_FRS_2P/ME_2_FRG] ESA STAC Catalog 2002-05-17 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2207506787-ESA.umm_json MERIS FR Level 2 is a Full-Resolution Geophysical product for Ocean, Land and Atmosphere. Each MERIS Level 2 geophysical product is derived from a MERIS Level 1 product and auxiliary parameter files specific to the MERIS Level 2 processing. The MERIS FR Level 2 product has Sentinel 3-like format starting from the 4th reprocessing data released to users in July 2020. The data package is composed of NetCDF 4 files containing instrumental and scientific measurements, and a Manifest file which contains metadata information related to the description of the product. A Level 2 product is composed of 64 measurement files containing: 13 files containing Water-leaving reflectance, 13 files containing Land surface reflectance and 13 files containing the TOA reflectance (for all bands except those dedicated to measurement of atmospheric gas - M11 and M15), and several files containing additional measurement on Ocean, Land and Atmospheric parameters and annotation. The Auxiliary data used are listed in the Manifest file associated to each product. The Level 2 FR product covers the complete instrument swath. The product duration is not fixed and it can span up to the time interval of the input Level 0/Level 1. Thus the estimated size of the Level 2 FR is dependent on the start/stop time of the acquired segment. During the Envisat mission, acquisition of MERIS Full Resolution data was subject to dedicated planning based on on-demand ordering and coverage of specific areas according to operational recommendations and considerations. See yearly and global density maps to get a better overview of the MERIS FR coverage. proprietary
MESSR_MOS-1_L2_Data_NA MESSR/MOS-1 L2 Data JAXA STAC Catalog 1987-02-24 1995-11-21 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2698130302-JAXA.umm_json MESSR/MOS-1 L2 Data is obtained from the MESSR sensor onboard MOS-1, Japan's first marine observation satellite, and produced by the National Space Development Agency of Japan:NASDA. MOS-1, Japan's first marine observation satellite, is Sun-synchronous sub-recurrent Orbit satellite launched on February 19, 1987 as a link in a global satellite observation system for more effective natural resource utilization and for environmental protection. The MESSR is multi-spectral radiometers and has swath of 100 km. This dataset includes radiometric and geometric corrected applied raw data.Map projection is UTM, SOM, PS. The provided format is CEOS. The spatial resolution is 50 m. proprietary
MESSR_MOS-1b_L2_Data_NA MESSR/MOS-1b L2 Data JAXA STAC Catalog 1990-03-09 1996-04-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2698133853-JAXA.umm_json MESSR/MOS-1b L2 Data is obtained from the MESSR sensor onboard MOS-1b, Japan's first marine observation satellite, and produced by the National Space Development Agency of Japan:NASDA. MOS-1b which has the same functions as MOS-1 is Sun-synchronous sub-recurrent Orbit satellite launched on February 7, 1990 as a link in a global satellite observation system for more effective natural resource utilization and for environmental protection. The MESSR is multi-spectral radiometers and has swath of 100 km. This dataset includes radiometric and geometric corrected applied raw data.Map projction is UTM, SOM, PS. The provided format is CEOS. The spatial resolution is 50 m. proprietary
MFLL_CO2_Weighting_Functions_1891_1 ACT-America: L2 Weighting Functions for Airborne Lidar Column-avg CO2, Eastern USA ORNL_CLOUD STAC Catalog 2016-05-27 2018-05-20 -106.05, 27.23, -71.91, 49.11 https://cmr.earthdata.nasa.gov/search/concepts/C2704977536-ORNL_CLOUD.umm_json This dataset provides vertical weighting function coefficients of the Level 2 (L2) remotely sensed column-average carbon dioxide (CO2) concentrations measured during airborne campaigns in Summer 2016, Winter 2017, Fall 2017, and Spring 2018 conducted over central and eastern regions of the U.S. for the Atmospheric Carbon and Transport (ACT-America) project. Column-average CO2 concentrations were measured at a 0.1-second frequency during flights of the C-130 Hercules aircraft at altitudes up to 8 km with a Multi-functional Fiber Laser Lidar (MFLL; Harris Corporation). The MFLL is a set of Continuous-Wave (CW) lidar instruments consisting of an intensity-modulated multi-frequency single-beam synchronous-detection Laser Absorption Spectrometer (LAS) operating at 1571 nm for measuring the column amount of CO2 number density and range between the aircraft and the surface or to cloud tops, and surface reflectance and a Pseudo-random Noise (PN) altimeter at 1596 nm for measuring the path length from the aircraft to the scattering surface and/or cloud tops. The MFLL was onboard all ACT-America seasonal campaigns, except Summer 2019. The MFLL-measured column-averaged CO2 values have certain distinct vertical weights on CO2 profiles depending on the meteorological conditions and the wavelengths used at the measurement time and location. This product includes the instrument location at the time of measurement in geographic coordinates and altitude, along with a vector of weighting function values representing conditions along the nadir direction. proprietary
@@ -10761,7 +10773,7 @@ NASAPHOTOS NASA Aerial Photography USGS_LTA STAC Catalog 1969-07-16 -180, 24, -
NASASatellite_Dev_Applications_2293_1 Development and Evolution of NASA Satellite Remote Sensing for Ecology ORNL_CLOUD STAC Catalog 1972-01-01 2014-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3116697926-ORNL_CLOUD.umm_json This dataset provides a presentation that highlights the role NASA research and researchers played in developing a wide range of significant, quantitative ecological applications of satellite data. The presentation by Dr Diane E. Wickland, former NASA Terrestrial Ecology Program Manager and Lead for NASA Carbon Cycle and Ecosystems Focus Area, provides a top-level overview from her perspective of the development and evolution of the program. Dr Wickland joined NASA in 1985 to manage a newly formed Terrestrial Ecosystems Program. Along with other NASA program managers, she was charged with reorienting the program to be less empirical and have a greater focus on first principles, and to prepare for a next generation of earth-observing satellites. As an ecologist, she thought that focusing on important ecological questions and recruiting practicing ecologists to the program would facilitate such a change in directions. The presentation emphasizes the early years of U.S. satellite remote sensing and covers a few highlights after 2005. proprietary
NASA_ARC_ASHOE_MAESA_DATA Airborne Southern Hemisphere Ozone Experiment Measurements for Assessing the Effects of Stratospheric Aircraft (ASHOE/MAESA) SCIOPS STAC Catalog 1994-03-01 1994-11-30 173, -43, -122, 37 https://cmr.earthdata.nasa.gov/search/concepts/C1214607898-SCIOPS.umm_json [Summary Adapted from the ASHOE/MAESA Home Page] This CD-ROM contains data pertaining to the combined experiment: Airborne Southern Hemisphere Ozone Experiment; and Measurements for Assessing the Effects of Stratospheric Aircraft (ASHOE/MAESA). This experiment was conducted in four phases between March and November 1994 at NASA Ames Research Center, California; Barbers Point, Hawaii; and Christchurch, New Zealand. The data consist of in situ and remotely sensed measurements collected onboard the NASA ER-2 aircraft; radiosonde, ozonesonde, and backscatter sonde balloon measurements; ground-based spectrometer and lidar measurements; and SAGE II satellite measurements. Theory teams provided calculations of: meteorological parameters in the form of partial hemispheric analyses, cross-sections along the ER-2 flight track, interpolations to the ER-2 flight path, and back- trajectories of selected parcels along the ER-2 flight path; photodissociation rates of selected chemical species along the ER-2 flight path; and cloud properties along the ER-2 flight track. This data along with several other aircraft field experiments are also maintained in an on-line archive. Link to the NASA Ames Earth Science Division Project Office WWW page for information on these projects. https://www.espo.nasa.gov proprietary
NASA_Airborne_Lidar_Flights_1 Data from NASA Langley Airborne Lidar flights. LARC_ASDC STAC Catalog 1982-07-01 1992-05-26 180, -50, -180, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1536056467-LARC_ASDC.umm_json Data from the 1982 NASA Langley Airborne Lidar flights following the eruption of El Chichon beginning in July 1982 and continuing to January 1984. Data in ASCII format. proprietary
-NASA_OMI_NA Aura OMI complete NASA dataset ESA STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336929-ESA.umm_json "The OMI observations provide the following capabilities and features: • A mapping of ozone columns at 13 km x 24 km and profiles at 13 km x 48 km • A measurement of key air quality components: NO2, SO2, BrO, HCHO, and aerosol • The ability to distinguish between aerosol types, such as smoke, dust and sulfates • The ability to measure aerosol absorption capacity in terms of aerosol absorption optical depth or single scattering albedo • A measurement of cloud pressure and coverage • A mapping of the global distribution and trends in UV-B radiation The OMI data are available in the following four levels: Level 0, Level 1B, Level 2, and Level 3. • Level 0 products are raw sensor counts. Level 0 data are packaged into two-hour ""chunks"" of observations in the life of the spacecraft (and the OMI aboard it) irrespective of orbital boundaries. They contain orbital swath data. • Level 1B processing takes Level 0 data and calibrates, geo-locates and packages the data into orbits. They contain orbital swath data. • Level 2 products contain orbital swath data. • Level 3 products contain global data that are composited over time (daily or monthly) or over space for small equal angle (latitude longitude) grids covering the whole globe." proprietary
+NASA_OMI_3.0 Aura OMI complete NASA dataset ESA STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336929-ESA.umm_json The OMI observations provide the following capabilities and features: • A mapping of ozone columns at 13 km x 24 km and profiles at 13 km x 48 km • A measurement of key air quality components: NO2, SO2, BrO, HCHO, and aerosol • The ability to distinguish between aerosol types, such as smoke, dust and sulfates • The ability to measure aerosol absorption capacity in terms of aerosol absorption optical depth or single scattering albedo • A measurement of cloud pressure and coverage • A mapping of the global distribution and trends in UV-B radiation The OMI data are available in the following four levels: Level 0, Level 1B, Level 2, and Level 3. • Level 0 products are raw sensor counts. Level 0 data are packaged into two-hour "chunks" of observations in the life of the spacecraft (and the OMI aboard it) irrespective of orbital boundaries. They contain orbital swath data. • Level 1B processing takes Level 0 data and calibrates, geo-locates and packages the data into orbits. They contain orbital swath data. • Level 2 products contain orbital swath data. • Level 3 products contain global data that are composited over time (daily or monthly) or over space for small equal angle (latitude longitude) grids covering the whole globe. proprietary
NASMo_TiAM_250m_2326_1 NASMo-TiAM 250m 16-day North America Surface Soil Moisture Dataset ORNL_CLOUD STAC Catalog 2002-06-26 2020-12-31 -180, 14.53, -40, 82.72 https://cmr.earthdata.nasa.gov/search/concepts/C2905457765-ORNL_CLOUD.umm_json This NASMo-TiAM (North America Soil Moisture Dataset Derived from Time-Specific Adaptable Machine Learning Models) dataset holds gridded estimates of surface soil moisture (0-5 cm depth) at a spatial resolution of 250 meters over 16-day intervals from mid-2002 to December 2020 for North America. The model employed Random Forests to downscale coarse-resolution soil moisture estimates (0.25 deg) from the European Space Agency Climate Change Initiative (ESA CCI) based on their correlation with a set of static (terrain parameters, bulk density) and dynamic covariates (Normalized Difference Vegetation Index, land surface temperature). NASMo-TiAM 250m predictions were evaluated through cross-validation with ESA CCI reference data and independent ground-truth validation using North American Soil Moisture Database (NASMD) records. The data are provided in cloud optimized GeoTIFF format. proprietary
NAWQA GIS Coverage of the National Water-Quality Assessment Study-Unit Investigations in the conterminous United States (NAWQA) CEOS_EXTRA STAC Catalog 1970-01-01 -127.88, 22.87, -65.35, 48.25 https://cmr.earthdata.nasa.gov/search/concepts/C2231548614-CEOS_EXTRA.umm_json "This is a coverage of the boundaries and codes used for the U.S. Geological Survey National Water-Quality Assessment (NAWQA) Program Study-Unit investigations for the conterminous United States, excluding the High Plains Regional Ground-Water Study. The National Water-Quality Assessment Program is designed to describe the status and trends in the quality of the Nation's ground- and surface-water resources and to provide a sound understanding of the natural and human factors that affect the quality of these resources (Leahy and others, 1990). A ""Study Unit"" is a major hydrologic system in which NAWQA studies are focused. Study Units are geographically defined by a combination of ground- and surface-water features (Gilliom and others, 1995). As part of the NAWQA program, Study-Unit investigations were planned for 60 areas throughout the Nation to provide a framework for national and regional water-quality assessments (Leahy and others, 1990). The 60 planned Study-Units were divided into three groups of 20. Each group would be intensively studied on a rotational basis with 20 studies beginning in fiscal year 1991 (FY 1991 runs from October 1990-September 1991), 20 more studies beginning in fiscal year 1994 (October 1993-September 1994), and the final 20 studies beginning in fiscal year 1997 (October 1996-September 1997). Each study cycle would span 10 years. In 1996, the number of Study-Units was scaled back to 59 when two of the original 60 Study Units combined. Also, because of budgetary restraints, some of the original planned Study Units have been scheduled to start later than originally planned and others have not even been scheduled to start yet. This coverage contains the boundaries for the 57 Study Units within the conterminous United States, excluding the High Plains Regional Ground Water-Study, which was conceived in late 1997. The coverage also includes the name, starting date, and NAWQA standard abbreviation of each Study Unit plus various codes to help display the data. This data set is used primarily to display the location of NAWQA Study Units and for analysis of data at the national scale. It is not recommended for either local or regional analysis due to the small scale of most of the features. This coverage can be used in conjunction with other NAWQA datasets including the point coverage of NAWQA Trace Element Sampling Sites (NAWQA_TE) and the point coverage of NAWQA Nutrients Sampling Sites (NAWQA_NU). Detailed information on these two coverages can be found in their respective metadata. Originally, Study-Unit boundaries in this coverage were composed of 1: 2,000,000-scale hydrologic unit boundaries (Allord, 1992) and state boundaries (Negri, 1994). As the NAWQA project has progressed and Study-Unit Investigations have gotten underway, many Study-Unit boundaries have been modified. In addition, Study Units have enhanced their boundary coverages with features at higher resolutions. As these modifications are made, Study Units submit their new boundary coverages to National Synthesis teams, who are responsible for summarizing the results from all of the Study Units, and the changes are incorporated into this coverage. As a result, this coverage is composed of linear features at various scales (for example, 1: 100,000, 1: 250,000), but the majority remain at the 1: 2,000,000 scale. The original version of this coverage was generated by the the USGS Cartographic and Publishing Program (CAPP) in Madison, Wisconsin, in the fall of 1991. The procedures used to create this coverage are described below. Each NAWQA Study Unit was asked for a description of their boundary definition. Once this information was gathered, CAPP created the coverage by extracting digital features from the 1: 2,000,000 Hydrologic Unit boundaries coverage and the 1: 2,000,000 state boundaries coverage. Since the majority of Study-Unit boundaries are defined from hydrologic unit boundaries, most of the features were directly copied from the Hydrologic Units coverage. An exception to this was the boundary defining the Georgia-Florida Coastal Plain Study Unit where the northern boundary was defined by the northern edge of the Florida Aquifer. To incorporate this boundary into the coverage, the aquifer boundary was digitized from the U.S. Geological Survey's ""Ground-Water Atlas of the United States"", HA-730 (G) (Miller, 1990). In November 1991, responsibility for maintaining the coverage was transferred to NAWQA's National Synthesis staff. Major milestones in the development of the coverage and various revisions to the coverage are listed under the Lineage section. The NAWQA Program has used the coverage for various analyses and displays and for various published reports, for example, Leahy and Thompson (1994) and Gilliom and others (1995). The coverage is reviewed by one of the NAWQA National Synthesis GIS staff members prior to release. Related_Spatial_and_Tabular_Data_Sets: Alaska (Cook Inlet) and Hawaii (Oahu) NAWQA Study-Unit boundaries are maintained in separate data sets. The High Plains Regional Ground-Water Study boundary is in a separate data set. Cook, Oahu, and High Plains study boundaries should be used with this data set to give the full picture of NAWQA Study Units nationwide. [Summary provided by EPA]" proprietary
NAWQAHIS GIS Coverage for the National Water-Quality Assessment (NAWQA) Program Retrospective Database for Nutrients in Surface Water: Monitoring Locations CEOS_EXTRA STAC Catalog 1970-01-01 -127.88, 22.87, -65.35, 48.25 https://cmr.earthdata.nasa.gov/search/concepts/C2231553303-CEOS_EXTRA.umm_json The retrospective database is a compilation of historical water-quality and ancillary data collected before NAWQA Study Units initiated sampling in 1993. This coverage contains the point locations of monitoring locations where historical water-quality data was collected. Water-quality data were obtained by study-unit personnel from the U.S. Geological Survey (USGS) National Water Information System (NWIS), from records of State water-resource agencies, and from STORET, the U.S. Environmental Protection Agency national database. Ancillary data describing characteristics of sampled sites were compiled by NAWQA Study Units or obtained from national-scale digital maps. Mueller and others (1995) used this data to determine preexisting water-quality conditions in the first 20 NAWQA Study Units that began in 1991. Also, Nolan and Ruddy (1996) used the data to describe areas of the United States at risk of nitrate contamination of ground water. Supplemental_Information: The retrospective database includes over 22,000 surface-water samples. The surface-water data are for samples collected during 1980-90 at sites that had a minimum of 25 monthly samples. Year of sampling is included in the retrospective database because it was reported most often by the various Study Units. Year of sampling also is convenient because some Study Units reported median constituent concentrations. If sampling date ranges for median values fell within a single year, then year of sampling was retained in the national data set for that sample. Because sampling, preservation, and analytical techniques associated with these historical data changed during the period of record and are different for different agencies, reported nutrient concentrations were aggregated into the following groups: (1) ammonia as N, (2) nitrate as N, (3) total nitrogen, (4) orthophosphate as P, and (5) total phosphorus. For example, ammonia includes both ammonium ions and un-ionized ammonia. More information on methods used to aggregate constituent data is available in the report by Mueller and others (1995). Much of the ancillary data, such as well and aquifer descriptions and land-use classification for surface-water drainage basins, were provided by NAWQA Study Units. Data evaluated at the national scale include land use, soil hydrologic group, nitrogen input to the land surface, and the ratios of pasture or woodland to cropland. Land-use classification of surface-water sites is based on Anderson Level I categories (Anderson and others, 1976). Land use at surface-water sites was classified by NAWQA Study Unit personnel based on the Anderson Level I categories. Many surface-water sites were affected by mixed land uses, such as Forest and Agricultural, or Agricultural and Urban. Surface-water sites with very large drainage areas (greater than 10,000 square miles) were considered to be affected by multiple land uses, and were designated as Integrated land use. More detailed descriptions of the land-use categories in the retrospective database are given by Mueller and others (1995). Soil hydrologic group was determined from digital maps compiled by the U.S. Soil Conservation Service (1993). The categorical values (A, B, C, and D) from the digital maps were converted to numbers to permit aggregation (Mueller and others, 1995). Surface-water sites were assigned the area-weighted mean for soil mapping units in the upstream drainage basin. Many surface-water sites did not have digitized basin boundaries available, so hydrologic group could not be evaluated. Fertilizer and manure applications were estimated from national databases of fertilizer sales (U.S. Environmental Protection Agency, 1990) and animal populations (U.S. Bureau of the Census, 1989). Nitrogen input by atmospheric deposition was derived from data provided by the National Atmospheric Deposition Program/National Trends Network (1992). Population data were obtained from the U.S. Bureau of the Census (1991). Total population in the upstream drainage was compiled for the surface-water data set. Within the database, concentrations less than detection are reported as negative values of the detection limit. Missing values are indicated by a decimal point. (During processing of the tabular data, these decimal points were replaced will NULL values; See Data_Quality_Information section. Historical data can be of limited use in national assessments because of inconsistencies between and within agencies in database structure and format and in sample collection, preservation, and analytical procedures. For example, changes in sample collection and analytical procedures can cause shifts in constituent concentrations that are unrelated to possible changes in environmental factors. See Mueller and others (1995) for assumptions and limitations associated with the retrospective database. [Summary provided by the EPA.] proprietary
@@ -10978,7 +10990,6 @@ NMMIEAI-L2-NRT_2 OMPS-NPP L2 NM Aerosol Index swath orbital NRT OMINRT STAC Cata
NMSO2-PCA-L2-NRT_2 OMPS/NPP PCA SO2 Total Column 1-Orbit L2 Swath 50x50km NRT OMINRT STAC Catalog 2011-10-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1439293808-OMINRT.umm_json The OMPS-NPP L2 NM Sulfur Dioxide (SO2) Total and Tropospheric Column swath orbital collection 2 version 2.0 product contains the retrieved sulfur dioxide (SO2) measured by the Ozone Mapping and Profiling Suite (OMPS) Nadir-Mapper (NM) sensor on the Suomi-NPP satellite. A Principle Component Analysis (PCA) algorithm is used to retrieve the SO2 total column amount and column amounts in the lower (centered at 2.5 km), middle (centered at 7.5 km) and upper (centered at 11 km) troposphere, as well as the lower stratosphere (centered at 16 km). Each granule contains data from the daylight portion for a single orbit or about 50 minutes. Spatial coverage is global (-90 to 90 degrees latitude), and there are about 14 orbits per day each with a swath width of 2600 km. There are 35 pixels in the cross-track direction, with a pixel resolution of about 50 km x 50 km at nadir. The files are written using the Hierarchical Data Format Version 5 or HDF5. proprietary
NMTO3NRT_2 OMPS-NPP L2 NM Ozone (O3) Total Column swath orbital NRT OMINRT STAC Catalog 2011-10-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1439272084-OMINRT.umm_json The OMPS-NPP L2 NM Ozone (O3) Total Column swath orbital product provides total ozone measurements from the Ozone Mapping and Profiling Suite (OMPS) Nadir-Mapper (NM) instrument on the Suomi-NPP satellite.The total column ozone amount is derived from normalized radiances using 2 wavelength pairs 317.5 and 331.2 nm under most conditions, and 331.2 and 360 nm for high ozone and high solar zenith angle conditions. Additionally, this data product contains measurements of UV aerosol index and reflectivity at 331 nm.Each granule contains data from the daylight portion of each orbit measured for a full day. Spatial coverage is global (-90 to 90 degrees latitude), and there are about 14.5 orbits per day, each has typically 400 swaths. The swath width of the NM is about 2800 km with 36 scenes, or pixels, with a footprint size of 50 km x 50 km at nadir. The L2 NM Ozone data are written using the Hierarchical Data Format Version 5 or HDF5. proprietary
NOAA_0 National Oceanic and Atmospheric Administration (NOAA) OB_DAAC STAC Catalog 1996-02-22 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360523-OB_DAAC.umm_json NOAA measurements from 1996 to 1999 along the Eastern US coastal region. proprietary
-NOAA_AVHRR_L1B_LAC_NA AVHRR Level-1B Local Area Coverage Imagery ESA STAC Catalog 1981-01-01 2020-12-31 -30, 35, 70, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689675-ESA.umm_json "This collection is composed of AVHRR L1B products (1.1 km) reprocessed from the NOAA POES and Metop AVHRR sensors data acquired at the University of Dundee and University of Bern ground stations and from the ESA and University of Bern data historical archive. The product format is the NOAA AVHRR Level 1B that combines the AVHRR data from the HRPT stream with ancillary information like Earth location and calibration data which can be applied by the user. Other appended parameters are time codes, quality indicators, solar and satellite angles and telemetry. Two data collections cover the Europe and the neighbouring regions in the period of 1 January 1981 to 31 December 2020 and the acquired data in the context of the 1-KM project in the ‘90s. During the early 1990’s various groups, including the International Geosphere-Biosphere Programme (IGBP), the Commission of the European Communities (CEC), the Moderate Resolution Imaging Spectrometer (MODIS) Science Team and ESA concluded that a global land 1-KM AVHRR data set would have been crucial to study and develop algorithms for several land products for the Earth Observing System. USGS, NOAA, ESA and other non-U.S. AVHRR receiving stations endorsed the initiative to collect a global land 1-km multi-temporal AVHRR data set over all land surfaces using NOAA's TIROS ""afternoon"" polar-orbiting satellite. On the 1st of April 1992, the project officially began up to the end of 1999 with the utilisation of 23 stations worldwide plus the NOAA local area coverage (LAC) on-board recorders. The global land 1-km AVHRR dataset is composed of 5 channels, raw AVHRR dataset at 1.1km resolution from the NOAA-11 and NOAA-14 satellites covering land surfaces, inland water and coastal areas. Spatial coverage: Check the spatial coverage of the collection on a map available on the Third Party Missions Dissemination Service: _$$AVHRR L1B 1.1 KM$$ https://tpm-ds.eo.esa.int/socat/AVHRR_L1B_1_1KM _$$AVHRR L1B LAC Out-of-Europe$$ https://tpm-ds.eo.esa.int/socat/NOAA_AVHRR_L1B_LAC_out-of-Europe" proprietary
NOAA_CDR_NDVI NOAA Climate Data Record Normalized Difference Vegetation Index CEOS_EXTRA STAC Catalog 1981-01-01 2013-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2231552492-CEOS_EXTRA.umm_json National Oceanic and Atmospheric Administration (NOAA) Climate Data Records (CDR) provide historical climate information using data from weather satellites. This dataset contains daily Normalized Difference Vegetation Index (NDVI) derived from surface reflectance data acquired by the Advanced Very High Resolution Radiometer (AVHRR) sensor. This long-term record spans from 1981 to 2013 and utilizes AVHRR data from seven NOAA polar orbiting satellites: NOAA 7, 9, 11, 14, 16, and 18. This NDVI collection provides the global change and resource management communities with vegetation data for historical trend analysis and vegetation monitoring studies for land surfaces around the globe. proprietary
NOAA_ToF_CIMS_Instrument_Data_1921_2 ATom: L2 Measurements from NOAA ToF Chemical Ionization Mass Spectrometer, Version 2 ORNL_CLOUD STAC Catalog 2017-09-28 2018-05-21 -180, -86.18, 180, 82.94 https://cmr.earthdata.nasa.gov/search/concepts/C2677134970-ORNL_CLOUD.umm_json This dataset provides the mixing ratios of reactive nitrogen and halogen species measured by the NOAA Iodide Ion Time-of-Flight Chemical Ionization Mass Spectrometer (NOAA CIMS) during airborne campaigns conducted by NASA's Atmospheric Tomography (ATom) mission for ATom-3 and ATom-4 campaigns. The NOAA CIMS uses chemical ionization mass spectrometric detection of gas phase organic and inorganic analytes via I- adduct formation. Measurements for ATom include N2O5 (dinitrogen pentoxide), ClNO2 (chloro nitrite), Cl2 (Chlorine), HCOOH (formic acid), C2H4O3S (hydroperoxymethyl thioformate), BrCl (bromine monochloride), BrCN (cyanogen bromide), and BrO (bromine monoxide). ATom deploys an extensive gas and aerosol payload on the NASA DC-8 aircraft for systematic, global-scale sampling of the atmosphere, profiling continuously from 0.2-13 km altitude. This comprehensive dataset will be used to improve the representation of chemically reactive gases and short-lived climate forcers in global models of atmospheric chemistry and climate. proprietary
NOBM_DAY_R2017 NASA Ocean Biogeochemical Model assimilating satellite chlorophyll data global daily VR2017 (NOBM_DAY) at GES DISC GES_DISC STAC Catalog 1998-01-01 2015-12-31 -180, -84, 180, 72 https://cmr.earthdata.nasa.gov/search/concepts/C1404080675-GES_DISC.umm_json This is the assimilated daily data from NASA Ocean Biogeochemical Model (NOBM). The NOBM is a comprehensive, interactive ocean biogeochemical model coupled with a circulation and radiative model in the global oceans (Gregg and Casey, 2007). It spans the domain from -84 to 72 degree latitude in increments of 1.25 degree longitude by 2/3 degree latitude, including only open ocean areas where bottom depth > 200m. NOBM contains 4 phytoplankton groups, 4 nutrient groups, a single herbivore group, and 3 detrital pools, and the major ocean carbon components, dissolved organic and inorganic carbon (DOC and DIC). proprietary
@@ -11102,7 +11113,7 @@ NRSCC_NODA_ZhangHeng_HEP_1 NRSCC_NODA_ZhangHeng_HEP NRSCC STAC Catalog 2018-07-3
NRSCC_NODA_ZhangHeng_HPM_1 NRSCC_NODA_ZhangHeng_HPM NRSCC STAC Catalog 2018-07-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205351187-NRSCC.umm_json This collection is for the observation of time-varying magnetic fields retrieved by the High Precision Magnetometer (HPM) instrument onboard China Seismo-Electromagnetic Satellite Mission (CSES, or Zhangheng-1). It is archived in the ChinaGEOSS site. proprietary
NRSCC_NODA_ZhangHeng_LAP_1 NRSCC_NODA_ZhangHeng_LAP NRSCC STAC Catalog 2018-07-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205351172-NRSCC.umm_json This collection is for the observation of time-varying magnetic fields retrieved by the Langmuir Probe (LAP) instrument onboard China Seismo-Electromagnetic Satellite Mission (CSES, or Zhangheng-1). It is archived in the ChinaGEOSS site. proprietary
NRSCC_NODA_ZhangHeng_SCM_1 NRSCC_NODA_ZhangHeng_SCM NRSCC STAC Catalog 2018-07-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205351163-NRSCC.umm_json This collection is for the observation of time-varying magnetic fields in the Ultra-Low Frequency (ULF), Extremely Low frequency (ELF), and Very Low Frequency（VLF）ranges that are retrieved by Search-Coil Magnetometer (SCM) instrument onboard China Seismo-Electromagnetic Satellite Mission (CSES, or Zhangheng-1). It is archived in the ChinaGEOSS site. proprietary
-NRT_Open_NA SMOS NRT Data Products ESA STAC Catalog 2015-05-09 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336930-ESA.umm_json "The SMOS Near Real Time products include Level 1 geo-located brightness temperature and Level 2 geo-located soil moisture estimation. The SMOS NRT L1 Light BUFR product contains brightness temperature geo-located on a reduced Gaussian grid (T511/N256), only for ""land"" pixels but keeping the full angular resolution. The pixels are consolidated in a full orbit dump segment (i.e. around 100 minutes of sensing time) with a maximum size of about 30MB per orbit. Spatial resolution is in the range of 30-50 km. This product is distributed in BUFR format. The SMOS NRT L2 Soil Moisture Neural Network (NN) product provides NRT soil moisture data based on the statistical coefficients estimated by a neural network. It is provided in the SMOS DGG grid and only at the satellite track. It also provides an estimation of the uncertainty of the estimated soil moisture product, and the probability that a soil moisture value is contaminated by Radio Frequency Interference (RFI). This product is distributed in NetCDF format. The L2 data product is also distributed via the EUMETCast Europe Service (DVB), upon registration on the EUMETSAT Earth Observation Portal (https://eoportal.eumetsat.int/userMgmt/gateway.faces). The Ku-band DVB reception station must be situated within the service coverage in Europe. SMOS NRT data is also regularly delivered to the UK Met-Office, then made available to operational agencies and research and development institutes via the WMO GTS Network. For an optimal exploitation of the SMOS NRT products please consult the read-me-first notes available in the Resources section below." proprietary
+NRT_Open_4.0 SMOS NRT Data Products ESA STAC Catalog 2015-05-09 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336930-ESA.umm_json The SMOS Near Real Time products include Level 1 geo-located brightness temperature and Level 2 geo-located soil moisture estimation. The SMOS NRT L1 Light BUFR product contains brightness temperature geo-located on a reduced Gaussian grid (T511/N256), only for "land" pixels but keeping the full angular resolution. The pixels are consolidated in a full orbit dump segment (i.e. around 100 minutes of sensing time) with a maximum size of about 30MB per orbit. Spatial resolution is in the range of 30-50 km. This product is distributed in BUFR format. The SMOS NRT L2 Soil Moisture Neural Network (NN) product provides NRT soil moisture data based on the statistical coefficients estimated by a neural network. It is provided in the SMOS DGG grid and only at the satellite track. It also provides an estimation of the uncertainty of the estimated soil moisture product, and the probability that a soil moisture value is contaminated by Radio Frequency Interference (RFI). This product is distributed in NetCDF format. The L2 data product is also distributed via the EUMETCast Europe Service (DVB), upon registration on the EUMETSAT Earth Observation Portal (https://eoportal.eumetsat.int/userMgmt/gateway.faces). The Ku-band DVB reception station must be situated within the service coverage in Europe. SMOS NRT data is also regularly delivered to the UK Met-Office, then made available to operational agencies and research and development institutes via the WMO GTS Network. For an optimal exploitation of the SMOS NRT products please consult the read-me-first notes available in the Resources section below. proprietary
NSCAT_25KM_MGDR_V2_2 NSCAT High-Resolution MGDR, Sigma-0 and Ocean Wind Vectors (Dunbar) POCLOUD STAC Catalog 1996-09-15 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2617226431-POCLOUD.umm_json The NASA Scatterometer (NSCAT) Level 2.5 high-resolution merged ocean wind vectors and sigma-0 in 25 km wind vector cell (WVC) swaths contain daily data from ascending and descending passes. Wind vectors are accurate to within 2 m/s (vector speed) and 20 degrees (vector direction). Wind vectors are not considered valid in rain contaminated regions; rain flags and precipitation information are not provided. Data is flagged where measurements are either missing or ambiguous. In the presence of land or sea ice winds values are set to 0, and sigma-0 values are preserved where measurements are available. This is the most up-to-date version, which designates the final phase of calibration, validation and science data processing, which was completed in November of 1998, on behalf of the JPL NSCAT Project; wind vectors are processed using the NSCAT-2 geophysical model function. proprietary
NSCAT_AER_HOFFMAN_L2_OW_WIND_VECTOR_AMBIGUITY_REMOVAL_2 NSCAT Level 2 Ocean Wind Vector Ambiguity Removal Overlay (Hoffman, AER) POCLOUD STAC Catalog 1996-09-15 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2617176896-POCLOUD.umm_json This dataset contains the NASA Scatterometer (NSCAT) Level 2 ocean wind vector ambiguity overlay files for the NSCAT MGDR version 2 dataset, referenced for 25 km wind vector cells (WVC). The dataset is derived from the results of a study which used a 2-D variational analysis method (VAM) to select a wind solution from the NSCAT ambiguous winds (Hoffman et al. 2003). Hoffman et al. chose the ambiguity closest in direction to the VAM surface wind analysis. No ambiguity was chosen for poor quality wind vector cells (WVCs). ECMWF analyses were used as the background field for the VAM. Their choice of ambiguity selection is compared with that of JPL, which used a median filter initialized with NCEP analysis fields. Ambiguity selection is changed in ~5% of the dataset, often improving the depiction of meteorological features where the surface wind is strongly curved or sheared. See Hoffman et al. (2003) for more on the method and results. Additional work by Henderson et al. (2003) compares the results of median filtering (JPL) vs. the 2d-VAR method (Hoffman et al., 2003) using 51 days of NSCAT data, supplemented by the NCEP 1000 hPa wind analyses as background fields. proprietary
NSCAT_BYU_L3_OW_SIGMA0_ENHANCED_1 NSCAT Gridded Level 3 Enhanced Resolution Sigma-0 from BYU POCLOUD STAC Catalog 1996-09-15 1997-06-29 -180, -89, 180, 89 https://cmr.earthdata.nasa.gov/search/concepts/C2617226510-POCLOUD.umm_json This NASA Scatterometer (NSCAT) satellite Sigma-0 dataset is generated by the Scatterometer Climate Record Pathfinder (SCP) project at Brigham Young University (BYU) and is generated using a Scatterometer Image Reconstruction (SIR) technique developed by Dr. David Long. The SIR technique results in an enhanced resolution image reconstruction and gridded on an equal-area grid (for non-polar regions) at 4.45 km pixel resolution stored in SIR files; polar regions are gridded using a polar-stereographic technique. A non-enhanced version is provided at 22.25 km pixel resolution in a format known as GRD files. All files are produced in IEEE formatted binary. All data files are separated and organized by region, polarization, parameter, and sampling technique (i.e., SIR vs. GRD). The regions of China and Japan are combined into a single region. In additional to Sigma-0, various statistical parameters are provided for added guidance, including but not limited to: standard deviation, measurement counts, pixel time, Sigma-0 error, and average incidence angle. For more information, please visti: http://www.scp.byu.edu/docs/NSCAT_user_notes.html proprietary
@@ -11356,8 +11367,8 @@ NWT_Burn_Severity_Maps_1694_1 ABoVE: Burn Severity of Soil Organic Matter, North
NW_microcosm_results_1 Mineralisation results using 14C octadecane at a range of water, nutrient levels and freeze thaw cycles AU_AADC STAC Catalog 2001-06-01 2001-10-29 110.45953, -66.31249, 110.59637, -66.261 https://cmr.earthdata.nasa.gov/search/concepts/C1214313663-AU_AADC.umm_json Geochemical, microbial and 14C data on remediation of petroleum hydrocarbons in Antarctica. This record is part of ASAC project 1163 (ASAC_1163). Microcosm study using Old Casey petroleum hydrocarbon contaminated sediment investgating the effect of water, nutrients and freze/thaw cycles on biodegradation. Temperature range -4 to 28 degrees. Microcosms with three different levels of nutrients and three different levels of water were investigated. The experiment was run over 95 days. Degradation was traced by radiometric methods and total aliphatic hydrocarbons were measured by gas chromatography. Radiometric data in file radiometric_01.xls, Gas Chromatography data in file gc_01.xls. This work was completed as part of ASAC project 1163 (ASAC_1163). The radiometric spreadsheet is divided up as follows: CODES is a summary of what went into each microcosm. CALCULATIONS is how much nutrients, water, radioactivity was added to the sediment. SUMMARY is what went into each microcosm flask. CT1, CT2 etc is the raw data, what was measured and calculations of radioactivity and recovery of isotope. Note that the Evaporation flasks (i.e., E10a) the number refers to the temperature that the flasks were incubated at, 'a' and 'b' refer to duplicates. AVERAGE is the average recoveries and first order rates of the triplicate microcosm for each treatment. GRAPHS is the graphs. The fields in this dataset are: Days Hours Initial flask weight NaOH removed NaOH added Weight of NaOH (g) Count (dpm) Discarded dpm's Volume NaOH (ml) dpm in trap Absolute dpm's %dpm recovered millimole octadecane mineralised proprietary
NatalMuseum Natal Museum - Mollusc Collection (Bivalvia and Gastropoda) CEOS_EXTRA STAC Catalog 1894-01-01 2005-07-09 11.38667, -43.19167, 55.13334, -11 https://cmr.earthdata.nasa.gov/search/concepts/C2232477685-CEOS_EXTRA.umm_json The Natal Museum's Department of Mollusca had its origins in the shell collection and library of Henry Burnup, a dedicated amateur who was honorary curator of molluscs until his death in 1928. Subsequently, the collection has been expanded many times over through field work, donation, exchange and purchase. Its historical value was greatly increased by absorption of important shell collections housed the Transvaal Museum (1978) and Albany Museum (1980), as well as the Rodney Wood collection from the Seychelles received from the Mutare Museum in Zimbabwe and the Kurt Grosch collection, built up over 25 years of residence in northern Mozambique. The mollusc collection now ranks among the 15 largest in the world and is certainly the largest both in Africa and on the Indian Ocean rim. It currently contains 7233 Bivalvia records, and 20112 Gastropoda records (total 27345 records of 282 families). The collection will be updated in the near future. proprietary
Nested_DGGE_1 Molecular comparison of bacterial diversity in uncontaminated and hydrocarbon contaminated marine sediment AU_AADC STAC Catalog 1997-11-01 1998-11-30 110.32471, -66.51764, 110.67627, -66.2226 https://cmr.earthdata.nasa.gov/search/concepts/C1214313662-AU_AADC.umm_json Sediment samples which were originally collected as part of ASAC 868 (ASAC_868) are now being investigated using molecular microbial techniques as part of ASAC 1228 (ASAC_1228). Samples were collected in a nested survey design in two hydrocarbon impacted areas and two unimpacted areas. Denaturing gradient gel electrophoresis (DGGE) of a region of the 16S RNA gene was used to investigate the microbial community structure. Banding patterns obtained from the DGGE were transformed into a presence / absence matrix and analysed with a multivariate statistical approach. The download file contains an excel spreadsheet, a csv version of the data, plus a readme file. proprietary
-NetCDF.GOMOS_UFP_Gridded_NA Envisat GOMOS Level 2 - Atmospheric constituents profiles - Gridded User Friendly Product [GOMOS_UFP_gridded] ESA STAC Catalog 2002-04-15 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336932-ESA.umm_json This data product describes atmospheric constituents profiles: In particular the vertical and line density profiles of ozone, NO2, NO3, O2, H2O, air, aerosols, temperature, turbulence. Coverage is as follows: Elevation range: +62 deg to +68 deg Azimuth range: +90 deg to +190 deg (with respect to the flight direction) The GOMOS data are now also available as user friendly products in the NetCDF4-format. These files are Level 2 constituent profiles and are altitude gridded. These Level 2 files include quality flags and are based and collected on a yearly basis. proprietary
-NetCDF.GOMOS_UFP_NA Envisat GOMOS Level 2 - Atmospheric constituents profiles - User Friendly Product [GOMOS_UFP] ESA STAC Catalog 2002-04-15 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336931-ESA.umm_json This data product describes atmospheric constituents profiles: In particular the vertical and line density profiles of ozone, NO2, NO3, O2, H2O, air, aerosols, temperature, turbulence. Coverage is as follows: Elevation range: +62 deg to +68 deg Azimuth range: +90 deg to +190 deg (with respect to the flight direction) The GOMOS data are now also available as user friendly products in the NetCDF4-format. These files are occultation based (dark and bright) and include all GOMOS Level 2 constituent profiles and HRTP profiles with all the essential parameters. For further information, please see the news published on 1 March 2017 and 1 August 2017. proprietary
+NetCDF.GOMOS_UFP_6.0 Envisat GOMOS Level 2 - Atmospheric constituents profiles - User Friendly Product [GOMOS_UFP] ESA STAC Catalog 2002-04-15 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336931-ESA.umm_json This data product describes atmospheric constituents profiles: In particular the vertical and line density profiles of ozone, NO2, NO3, O2, H2O, air, aerosols, temperature, turbulence. Coverage is as follows: Elevation range: +62 deg to +68 deg Azimuth range: +90 deg to +190 deg (with respect to the flight direction) The GOMOS data are now also available as user friendly products in the NetCDF4-format. These files are occultation based (dark and bright) and include all GOMOS Level 2 constituent profiles and HRTP profiles with all the essential parameters. For further information, please see the news published on 1 March 2017 and 1 August 2017. proprietary
+NetCDF.GOMOS_UFP_Gridded_6.0 Envisat GOMOS Level 2 - Atmospheric constituents profiles - Gridded User Friendly Product [GOMOS_UFP_gridded] ESA STAC Catalog 2002-04-15 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336932-ESA.umm_json This data product describes atmospheric constituents profiles: In particular the vertical and line density profiles of ozone, NO2, NO3, O2, H2O, air, aerosols, temperature, turbulence. Coverage is as follows: Elevation range: +62 deg to +68 deg Azimuth range: +90 deg to +190 deg (with respect to the flight direction) The GOMOS data are now also available as user friendly products in the NetCDF4-format. These files are Level 2 constituent profiles and are altitude gridded. These Level 2 files include quality flags and are based and collected on a yearly basis. proprietary
Neutron-Monitor-era-annual-10Be_1 Annually-resolved polar ice core 10Be records spanning the Neutron Monitor era AU_AADC STAC Catalog 1936-01-01 2009-12-31 112.8, -66.7667, 112.8, -66.7667 https://cmr.earthdata.nasa.gov/search/concepts/C1214311197-AU_AADC.umm_json Annually-resolved 10Be concentrations, stable water isotope ratios and accumualtion rate data from the DSS site on Law Dome, East Antarctica (spanning 1936-2009) and the Das2 site, south-east Greenland (1936-2002). A composite record constructed from these records and previously published records from NGRIP, Renland and Dye 3 (Greenland) and Dronning Maud Land (Antarctica) is also provided. Law Dome Summit South (DSS), Antarctica 66 degrees 46 degrees S 112 degrees 48 degrees E, 1370 m asl Das2 Greenland, 67 degrees 32'N, 36 degrees 04'W, 2936 m asl proprietary
New_England_CH4_1311_1 Natural and Anthropogenic Methane Sources, New England, USA, 1990-1994 ORNL_CLOUD STAC Catalog 1990-01-01 1994-12-31 -73.73, 41, -66.97, 47.45 https://cmr.earthdata.nasa.gov/search/concepts/C2773260044-ORNL_CLOUD.umm_json This data set contains an inventory of natural and anthropogenic methane emissions for all counties in the six New England states of Connecticut, Rhode Island, Massachusetts, Vermont, New Hampshire, and Maine. The inventory represents a snapshot in time (circa 1990-1994) and provides emission estimates for multiple sources including wetlands, landfills, ruminant animals, residential wood combustion, fossil fuel combustion and use, animal manure, wastewater treatment, and natural gas transmission pipelines. Also included is the uptake or sink of methane in relatively well-drained upland soils. proprietary
New_Hampshire_Landcover_1305_1 Land Cover and Land Use Classification for the State of New Hampshire, 1996-2001 ORNL_CLOUD STAC Catalog 1996-07-22 2001-12-01 -72.59, 42.69, -70.66, 45.31 https://cmr.earthdata.nasa.gov/search/concepts/C2773252856-ORNL_CLOUD.umm_json The New Hampshire Geographically Referenced Analysis and Information Transfer System (GRANIT) land cover data set provides a land cover and land use product at 30-m resolution with 23 individual classes across the state. The classification is based largely on the analysis of 12 Landsat Thematic Mapper (TM and ETM+) images. Over 1,400 new classification training site data points were collected to supplement 1,200 archived sites from previous projects. The classification represents a snapshot in time from 1996 to 2001. This time range spans the dates of the most recent acquisitions of a TM scene for each region of the state and the dates of the most recent field data collection. proprietary
@@ -11540,7 +11551,7 @@ OCTS_L3m_POC_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Particulate
OCTS_L3m_POC_2022.0 ADEOS-I OCTS Level-3 Global Mapped Particulate Organic Carbon (POC) Data, version 2022.0 OB_CLOUD STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834842-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3m_RRS_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Remote-Sensing Reflectance (RRS) Global Mapped Data OB_DAAC STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034385-OB_DAAC.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
OCTS_L3m_RRS_2022.0 ADEOS-I OCTS Level-3 Global Mapped Remote-Sensing Reflectance (RRS) Data, version 2022.0 OB_CLOUD STAC Catalog 1996-10-31 1997-06-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3300834849-OB_CLOUD.umm_json On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS. proprietary
-ODIN.SMR_NA ODIN SMR data products ESA STAC Catalog 2001-02-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689700-ESA.umm_json The latest Odin Sub-Millimetre Radiometer (SMR) datasets have been generated by Chalmers University of Technology and Molflow within the Odin-SMR Recalibration and Harmonisation project (http://odin.rss.chalmers.se/), funded by the European Space Agency (ESA) to create a fully consistent and homogeneous dataset from the 20 years of satellite operations. The Odin satellite was launched in February 2001 as a joint undertaking between Sweden, Canada, France and Finland, and is part of the ESA Third Party Missions (TPM) programme since 2007. The complete Odin-SMR data archive was reprocessed applying a revised calibration scheme and upgraded algorithms. The Level 1b dataset is entirely reconsolidated, while Level 2 products are regenerated for the main mesospheric and stratospheric frequency modes (i.e., FM 01, 02, 08, 13, 14, 19, 21, 22, 24). The resulting dataset represents the first full-mission reprocessing campaign of the mission, which is still in operation. proprietary
+ODIN.SMR_5.0 ODIN SMR data products ESA STAC Catalog 2001-02-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689700-ESA.umm_json The latest Odin Sub-Millimetre Radiometer (SMR) datasets have been generated by Chalmers University of Technology and Molflow within the Odin-SMR Recalibration and Harmonisation project (http://odin.rss.chalmers.se/), funded by the European Space Agency (ESA) to create a fully consistent and homogeneous dataset from the 20 years of satellite operations. The Odin satellite was launched in February 2001 as a joint undertaking between Sweden, Canada, France and Finland, and is part of the ESA Third Party Missions (TPM) programme since 2007. The complete Odin-SMR data archive was reprocessed applying a revised calibration scheme and upgraded algorithms. The Level 1b dataset is entirely reconsolidated, while Level 2 products are regenerated for the main mesospheric and stratospheric frequency modes (i.e., FM 01, 02, 08, 13, 14, 19, 21, 22, 24). The resulting dataset represents the first full-mission reprocessing campaign of the mission, which is still in operation. proprietary
ODU_CBM_0 Old Dominion University (ODU) - Chesapeake Bay Mouth (CBM) measurements OB_DAAC STAC Catalog 2004-05-05 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360566-OB_DAAC.umm_json Measurements made of the Chesapeake Bay Mouth (CBM) by Old Dominion University (ODU) between 2004 and 2006. proprietary
OFR_94-212 A Compilation of Sulfur Dioxide and Carbon Dioxide Emission-Rate Data from Mount St. Helens during 1980-88 USGS Open File Report 94-212 CEOS_EXTRA STAC Catalog 1980-05-01 1988-09-06 -122, 46, -122, 46 https://cmr.earthdata.nasa.gov/search/concepts/C2232411623-CEOS_EXTRA.umm_json Airborne monitoring of Mount St. Helens by the USGS began in May 1980 for sulfur dioxide emissions and in July 1980 for carbon dioxide emissions. A correlation spectrometer, or COSPEC, was used to measure sulfur dioxide in Mount St. Helens' plume. The upward-looking COSPEC was mounted in a fixed-wing aircraft and flown below and at right angles to the plume. Typically, three to six traverses were made underneath the plume to determine the SO2 burden (concentration x pathlength) within a cross-section of the plume. Knowing the burden along with the plume width and plume velocity (assumed to be the same as ambient wind speed), we could then calculate the emission rate of SO2. The use of correlation spectroscopy for determining the sulfur dioxide output of volcanoes is well established and the technique has been discussed in detail by a number of investigators (Malinconico, 1979; Casadevall and others, 1981; Stoiber and others, 1983). Carbon dioxide in the Mount St. Helens plume was measured by an infrared spectrometer tuned to the 4.26 um CO2 absorption band. An external sample tube was attached to the fuselage of a twin-engine aircraft to deliver outside air to the gas cell of the spectrometer. The aircraft was then flown at several different elevations through the plume at right angles to plume trajectory to define plume area and carbon dioxide concentration in a vertical cross-section of the plume. These two parameters along with the density of CO2 for the altitude of the plume and the plume velocity (assumed as above to be equal to ambient wind speed) were then used to calculate the CO2 emission rate (Harris and others, 1981). proprietary
OFR_95-55 A Compilation of Sulphur Dioxide and Carbon Dioxide Emission-Rate Data from Cook Inlet Volcanoes, Alaska During the Period from 1990 to 1994 CEOS_EXTRA STAC Catalog 1990-03-20 1994-07-07 -154, 56, -152, 62 https://cmr.earthdata.nasa.gov/search/concepts/C2232411611-CEOS_EXTRA.umm_json This report contains all of the available daily sulfur dioxide and carbon dioxide emission rates from Cook Inlet volcanoes as determined by the U.S. Geological Survey (USGS) from March 1990 through July 1994. Airborne sulfur dioxide gas sampling of the Cook Inlet volcanoes (Redoubt, Spurr, Iliamna, and Augustine) began in 1986 when several measurements were carried out at Augustine volcano during the eruption of 1986. Systematic monitoring for sulfur dioxide and carbon dioxide began in March 1990 at Redoubt volcano and continues to the present. Intermittent measurements at Augustine and Iliamna volcanoes began in 1990 and continues to the present. Intermittent measurements began at Spurr volcano in 1991, and were continued at more regular intervals from June, 1992 through the 1992 eruption at the Crater Peak vent to the present. proprietary
@@ -11727,13 +11738,13 @@ OMPS_NPP_NPBUVO3_L2_2 OMPS-NPP L2 NP Ozone (O3) Vertical Profile swath orbital G
OMPS_NPP_NPBUVO3_L2_2.9 OMPS-NPP L2 NP Ozone (O3) Vertical Profile swath orbital V2.9 (OMPS_NPP_NPBUVO3_L2) at GES DISC GES_DISC STAC Catalog 2011-11-13 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C2821060582-GES_DISC.umm_json The OMPS-NPP L2 NP Ozone (O3) Total Column swath orbital product provides ozone profile retrievals from the Ozone Mapping and Profiling Suite (OMPS) Nadir-Profiler (NP) instrument on the Suomi-NPP satellite. The V8 ozone profile algorithm relies on nadir profiler measurements made in the 250 to 310 nm range, as well as from measurements from the nadir mapper in the 300 to 380 nm range. Ozone mixing ratios are reported at 15 pressure levels between 50 and 0.5 hPa. Additionally, this data product contains measurements of total ozone, UV aerosol index and reflectivities at 331 and 380 nm. Each granule contains data from the daylight portion of each orbit measured for a full day. Spatial coverage is global (-82 to +82 degrees latitude), and there are about 14.5 orbits per day, each has typically 80 profiles. The NP footprint size is 250 km x 250 km. The files are written using the Hierarchical Data Format Version 5 or HDF5. proprietary
OMPS_NPP_NPEV_L1B_2 OMPS/NPP L1B NP Radiance EV Calibrated Geolocated Swath Orbital V2 (OMPS_NPP_NPEV_L1B) at GES DISC GES_DISC STAC Catalog 2011-11-13 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1279850611-GES_DISC.umm_json The OMPS-NPP L1B NP Radiance EV Calibrated Geolocated Swath Orbital collection contains calibrated and geolocated radiances from 300 to 380 nm measured by the OMPS Nadir-Profiler sensor on the Suomi-NPP satellite. Each granule typically contains data from the daylight portion of a single orbit (about 50 minutes). Spatial coverage is nearly global (-82 to 82 degrees latitude), and there are about 14.5 orbits per day each with a single nadir measurement along the satellite track. proprietary
OMSO2G_003 OMI/Aura Sulphur Dioxide (SO2) Total Column Daily L2 Global Gridded 0.125 degree x 0.125 degree V3 (OMSO2G) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1266136113-GES_DISC.umm_json This Level-2G daily global gridded product OMSO2G is based on the pixel level OMI Level-2 SO2 product OMSO2. OMSO2G data product is a special Level-2 gridded product where pixel level products are binned into 0.125x0.125 degree global grids. It contains the data for all scenes that have observation time between UTC times of 00:00:00 and 23:59:59.9999 . All data pixels that fall in a grid box are saved without averaging. Scientists can apply a data filtering scheme of their choice and create new gridded products. The OMSO2G data product contains almost all parameters that are contained in OMSO2 files. For example, in addition to three values of SO2 Vertical column corresponding to three a-priori vertical profiles used in the retrieval algorithm, and ancillary parameters, e.g., UV aerosol index, cloud fraction, cloud pressure, geolocation, solar and satellite viewing angles, and quality flags. The OMSO2G files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3G data product is about 146 Mbytes. proprietary
-OMSO2_003 OMI/Aura Sulphur Dioxide (SO2) Total Column 1-orbit L2 Swath 13x24 km V003 NRT OMINRT STAC Catalog 2004-07-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000000121-OMINRT.umm_json The Ozone Monitoring Instrument (OMI) was launched aboard the EOS-Aura satellite on July 15, 2004 (1:38 pm equator crossing time, ascending mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. OMI is a contribution of the Netherlands Space Office (NSO) in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal investigator (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). OMI is designed to monitor stratospheric and tropospheric ozone, clouds, aerosols and smoke from biomass burning, SO2 from volcanic eruptions, and key tropospheric pollutants (HCHO,NO2) and ozone depleting gases (OClO and BrO). OMI sensor counts, calibrated and geolocated radiances, and all derived geophysical atmospheric products will be archived at the NASA Goddard DAAC. The Sulfer Dioxide Product 'OMSO2' from the Aura-OMI is now publicly available from NASA GSFC Earth Sciences (GES) Data and Information Services Center (DISC) for public access. OMSO2 product contains three values of SO2 Vertical column corresponding to three a-priori vertical profiles used in the retrieval algorithm. It also contains quality flags, geolocation and other ancillary information. The shortname for this Level-2 OMI total column SO2 product is OMSO2 and the algorithm leads for this product are NASA/UMBC OMI scientists Drs. Nikolay Krotkov (nickolay.a.krotkov@nasa.gov),Kai Yang(kai.yang@nasa.gov) and Arlin J. Krueger(krueger@umbc.edu). OMSO2 files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMSO2 data product is about 21 Mbytes. On-line spatial and parameter subset options are available during data download A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml A short OMSO2 Readme Document that includes brief algorithm description and documents that provides known data quality related issues are available from the UMBC OMI site ( http://so2.gsfc.nasa.gov/docs.php ) For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/ http://so2.gsfc.nasa.gov/ http://www.knmi.nl/omi/research/documents/. For the full set of Aura products and other atmospheric composition data available from the GES DISC, please see the links below. http://disc.sci.gsfc.nasa.gov/Aura/ http://disc.gsfc.nasa.gov/acdisc/ proprietary
OMSO2_003 OMI/Aura Sulphur Dioxide (SO2) Total Column 1-orbit L2 Swath 13x24 km V003 (OMSO2) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1239966837-GES_DISC.umm_json The Aura Ozone Monitoring Instrument (OMI) level 2 sulphur dioxide (SO2) total column product (OMSO2) has been updated with a principal component analysis (PCA)-based algorithm (v2) with new SO2 Jacobian lookup tables and a priori profiles that significantly improve retrievals for anthropogenic SO2. The data files (or granules) contain different estimates of the vertical column density (VCD) of SO2 depending on the users investigating anthropogenic or volcanic sources. Files also contain quality flags, geolocation and other ancillary information. The lead scientist for the OMSO2 product is Can Li. The OMSO2 files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the daylit half of an orbit (~53 minutes). There are approximately 14 orbits per day. The resolution of the data is 13x24 km2 at nadir, with a swath width of 2600 km and 60 pixels per scan line every 2 seconds. proprietary
+OMSO2_003 OMI/Aura Sulphur Dioxide (SO2) Total Column 1-orbit L2 Swath 13x24 km V003 NRT OMINRT STAC Catalog 2004-07-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000000121-OMINRT.umm_json The Ozone Monitoring Instrument (OMI) was launched aboard the EOS-Aura satellite on July 15, 2004 (1:38 pm equator crossing time, ascending mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. OMI is a contribution of the Netherlands Space Office (NSO) in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal investigator (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). OMI is designed to monitor stratospheric and tropospheric ozone, clouds, aerosols and smoke from biomass burning, SO2 from volcanic eruptions, and key tropospheric pollutants (HCHO,NO2) and ozone depleting gases (OClO and BrO). OMI sensor counts, calibrated and geolocated radiances, and all derived geophysical atmospheric products will be archived at the NASA Goddard DAAC. The Sulfer Dioxide Product 'OMSO2' from the Aura-OMI is now publicly available from NASA GSFC Earth Sciences (GES) Data and Information Services Center (DISC) for public access. OMSO2 product contains three values of SO2 Vertical column corresponding to three a-priori vertical profiles used in the retrieval algorithm. It also contains quality flags, geolocation and other ancillary information. The shortname for this Level-2 OMI total column SO2 product is OMSO2 and the algorithm leads for this product are NASA/UMBC OMI scientists Drs. Nikolay Krotkov (nickolay.a.krotkov@nasa.gov),Kai Yang(kai.yang@nasa.gov) and Arlin J. Krueger(krueger@umbc.edu). OMSO2 files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMSO2 data product is about 21 Mbytes. On-line spatial and parameter subset options are available during data download A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml A short OMSO2 Readme Document that includes brief algorithm description and documents that provides known data quality related issues are available from the UMBC OMI site ( http://so2.gsfc.nasa.gov/docs.php ) For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/ http://so2.gsfc.nasa.gov/ http://www.knmi.nl/omi/research/documents/. For the full set of Aura products and other atmospheric composition data available from the GES DISC, please see the links below. http://disc.sci.gsfc.nasa.gov/Aura/ http://disc.gsfc.nasa.gov/acdisc/ proprietary
OMSO2_CPR_003 OMI/Aura Level 2 Sulphur Dioxide (SO2) Trace Gas Column Data 1-Orbit Subset and Collocated Swath along CloudSat V003 (OMSO2_CPR) at GES DISC GES_DISC STAC Catalog 2006-06-01 2018-03-02 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1236350970-GES_DISC.umm_json "This is a CloudSat-collocated subset of the original product OMSO2, for the purposes of the A-Train mission. The goal of the subset is to select and return OMI data that are within +/-100 km across the CloudSat track. The resultant OMI subset swath is sought to be about 200 km cross-track of CloudSat. Even though collocated with CloudSat, this subset can serve many other A-Train applications. (The shortname for this CloudSat-collocated subset of the original product OMSO2 Product is OMSO2_CPR_V003) This document describes the original OMI SO2 product (OMSO2) produced from global mode UV measurements of the Ozone Monitoring Instrument (OMI). OMI was launched on July 15, 2004 on the EOS Aura satellite, which is in a sun-synchronous ascending polar orbit with 1:45pm local equator crossing time. The data collection started on August 17, 2004 (orbit 482) and continues to this day with only minor data gaps. The minimum SO2 mass detectable by OMI is about two orders of magnitude smaller than the detection threshold of the legacy Total Ozone Mapping Spectrometer (TOMS) SO2 data (1978-2005) [Krueger et al 1995]. This is due to smaller OMI footprint and the use of wavelengths better optimized for separating O3 from SO2. The product file, called a data granule, covers the sunlit portion of the orbit with an approximately 2600 km wide swath containing 60 pixels per viewing line. During normal operations, 14 or 15 granules are produced daily, providing fully contiguous coverage of the globe. Currently, OMSO2 products are not produced when OMI goes into the ""zoom mode"" for one day every 452 orbits (~32 days). For each OMI pixel we provide 4 different estimates of the column density of SO2 in Dobson Units (1DU=2.69x10^16 molecules/cm2) obtained by making different assumptions about the vertical distribution of the SO2. However, it is important to note that in most cases the precise vertical distribution of SO2 is unimportant. The users can use either the SO2 plume height, or the center of mass altitude (CMA) derived from SO2 vertical distribution, to interpolate between the 4 values: 1)Planetary Boundary Layer (PBL) SO2 column (ColumnAmountSO2_PBL), corresponding to CMA of 0.9 km. 2)Lower tropospheric SO2 column (ColumnAmountSO2_TRL), corresponding to CMA of 2.5 km. 3)Middle tropospheric SO2 column, (ColumnAmountSO2_TRM), usually produced by volcanic degassing, corresponding to CMA of 7.5 km, 4)Upper tropospheric and Stratospheric SO2 column (ColumnAmountSO2_STL), usually produced by explosive volcanic eruption, corresponding to CMA of 17 km. The accuracy and precision of the derived SO2 columns vary significantly with the SO2 CMA and column amount, observational geometry, and slant column ozone. OMI becomes more sensitive to SO2 above clouds and snow/ice, and less sensitive to SO2 below clouds. Preliminary error estimates are discussed below (see Data Quality Assessment). OMSO2 files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMSO2 data product is about 9 Mbytes." proprietary
OMSO2e_003 OMI/Aura Sulfur Dioxide (SO2) Total Column Daily L3 1 day Best Pixel in 0.25 degree x 0.25 degree V3 (OMSO2e) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1266136112-GES_DISC.umm_json "The OMI science team produces this Level-3 Aura/OMI Global OMSO2e Data Products (0.25 degree Latitude/Longitude grids). In this Level-3 daily global SO2 data product, each grid contains only one observation of Total Column Density of SO2 in the Planetary Boundary Layer (PBL), based on an improved Principal Component Analysis (PCA) Algorithm. This single observation is the ""best pixel"", selected from all ""good"" L2 pixels of OMSO2 that overlap this grid and have UTC time between UTC times of 00:00:00 and 23:59:59.999. In addition to the SO2 Vertical column value some ancillary parameters, e.g., cloud fraction, terrain height, scene number, solar and satellite viewing angles, row anomaly flags, and quality flags have been also made available corresponding to the best selected SO2 data pixel in each grid. The OMSO2e files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5) using the grid model." proprietary
OMTO3G_003 OMI/Aura Ozone (O3) Total Column Daily L2 Global Gridded 0.25 degree x 0.25 degree V3 (OMTO3G) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1266136114-GES_DISC.umm_json This Level-2G daily global gridded product OMTO3G is based on the pixel level OMI Level-2 Total Ozone Product OMTO3. The OMTO3 product is from the enhanced TOMS version-8 algorithm that essentially uses the ultraviolet radiance data at 317.5 and 331.2 nm. The OMTO3G data product is a special Level-2 Global Gridded Product where pixel level data are binned into 0.25x0.25 degree global grids. It contains the data for all L2 scenes that have observation time between UTC times of 00:00:00 and 23:59:59.9999. All data pixels that fall in a grid box are saved Without Averaging. Scientists can apply a data filtering scheme of their choice and create new gridded products. The OMTO3G data product contains almost all parameters that are contained in the OMTO3. For example, in addition to the total column ozone it also contains UV aerosol index, cloud fraction, cloud pressure, terrain height, geolocation, solar and satellite viewing angles, and quality flags. The OMTO3G files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3G data product is about 150 Mbytes. proprietary
-OMTO3_003 OMI/Aura Ozone(O3) Total Column 1-Orbit L2 Swath 13x24 km V003 (OMTO3) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1239966818-GES_DISC.umm_json The Aura Ozone Monitoring Instrument (OMI) Level-2 Total Column Ozone Data Product OMTO3 (Version 003) is available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access. OMI provides two Level-2 (OMTO3 and OMDOAO3) total column ozone products at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms. This level-2 global total column ozone product (OMTO3) is based on the enhanced TOMS version-8 algorithm that essentially uses the ultraviolet radiance data at 317.5 and 331.2 nm. OMI hyper-spectral measurements help in the corrections for the factors that induce uncertainty in ozone retrievals (e.g., cloud and aerosol, sea-glint effects, profile shape sensitivity, SO2 and other trace gas contamination). In addition to the total ozone values this product also contains some auxiliary derived and ancillary input parameters including N-values, effective Lambertian scene-reflectivity, UV aerosol index, SO2 index, cloud fraction, cloud pressure, ozone below clouds, terrain height, geolocation, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI total column ozone product is OMTO3. The algorithm lead for this product is NASA OMI scientist Dr. Pawan K. Bhartia. The OMTO3 files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMTO3 data product is approximately 35 MB. proprietary
OMTO3_003 OMI/Aura Ozone (O3) Total Column 1-Orbit L2 Swath 13x24 km V003 NRT OMINRT STAC Catalog 2004-07-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000000140-OMINRT.umm_json The OMI/Aura Level-2 Total Column Ozone Data Product OMTO3 Near Real Time data is made available from the OMI SIPS NASA for the public access. The Ozone Monitoring Instrument (OMI)was launched aboard the EOS-Aura satellite on July 15, 2004(1:38 pm equator crossing time, ascending mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. OMI is a contribution of the Netherlands Agency for Aerospace Programs (NIVR)in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal investigator's (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). OMI is designed to monitor stratospheric and tropospheric ozone, clouds, aerosols and smoke from biomass burning, SO2 from volcanic eruptions, and key tropospheric pollutants (HCHO, NO2) and ozone depleting gases (OClO and BrO). OMI sensor counts, calibrated and geolocated radiances, and all derived geophysical atmospheric products will be archived at the NASA Goddard DAAC. This level-2 global total column ozone product (OMTO3)is based on the enhanced TOMS version-8 algorithm that essentially uses the ultraviolet radiance data at 317.5 and 331.2 nm. OMI additional hyper-spectral measurements help in the corrections for the factors that induce uncertainty in ozone retrieval (e.g., cloud and aerosol, sea-glint effects, profile shape sensitivity, SO2 and other trace gas contamination). In addition to the total ozone values this product also contains some auxiliary derived and ancillary input parameters including N-values, effective Lambertian scene-reflectivity, UV aerosol index, SO2 index, cloud fraction, cloud pressure, ozone below clouds, terrain height, geolocation, solar and satellite viewing angles, and extensive quality flags. The shortname for this Level-2 OMI total column ozone product is OMTO3 and the algorithm lead for this product is NASA OMI scientist Dr. Pawan K. Bhartia ( Pawan.K.Bhartia@nasa.gov). OMTO3 files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMTO3 data product is about 35 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/ http://www.knmi.nl/omi/research/documents/ . Data Category Parameters: The OMTO3 data file contains one swath which consists of two groups: Data fields: OMI Total Ozone,Effective Reflectivity (331 - 360 nm), N-value, Cloud Fraction, Cloud Top Pressure, O3 below Cloud, UV Aerosol Index, SO2 index, Wavelength used in the algorithm, many Auxiliary Algorithm Parameter and Quality Flags Geolocation Fields: Latitude, Longitude, Time, Relative Azimuth, Solar Zenith and Azimuth, Viewing Zenith and Azimuth angles, Spacecraft Altitude, Latitude, Longitude, Terrain Height, Ground Pixel Quality Flags.For the full set of Aura data products available from the GES DISC, please see the link http://disc.sci.gsfc.nasa.gov/Aura/ . proprietary
+OMTO3_003 OMI/Aura Ozone(O3) Total Column 1-Orbit L2 Swath 13x24 km V003 (OMTO3) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1239966818-GES_DISC.umm_json The Aura Ozone Monitoring Instrument (OMI) Level-2 Total Column Ozone Data Product OMTO3 (Version 003) is available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access. OMI provides two Level-2 (OMTO3 and OMDOAO3) total column ozone products at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms. This level-2 global total column ozone product (OMTO3) is based on the enhanced TOMS version-8 algorithm that essentially uses the ultraviolet radiance data at 317.5 and 331.2 nm. OMI hyper-spectral measurements help in the corrections for the factors that induce uncertainty in ozone retrievals (e.g., cloud and aerosol, sea-glint effects, profile shape sensitivity, SO2 and other trace gas contamination). In addition to the total ozone values this product also contains some auxiliary derived and ancillary input parameters including N-values, effective Lambertian scene-reflectivity, UV aerosol index, SO2 index, cloud fraction, cloud pressure, ozone below clouds, terrain height, geolocation, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI total column ozone product is OMTO3. The algorithm lead for this product is NASA OMI scientist Dr. Pawan K. Bhartia. The OMTO3 files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMTO3 data product is approximately 35 MB. proprietary
OMTO3_CPR_003 OMI/Aura Level 2 Ozone (O3) Total Column 1-Orbit Subset and Collocated Swath along CloudSat track 200-km wide at 13x24 km2 resolution GES_DISC STAC Catalog 2006-06-01 2018-03-02 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1236350982-GES_DISC.umm_json This is a CloudSat-collocated subset of the original product OMTO3, for the purposes of the A-Train mission. The goal of the subset is to select and return OMI data that are within +/-100 km across the CloudSat track. The resultant OMI subset swath is sought to be about 200 km cross-track of CloudSat. This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. Even though collocated with CloudSat, this subset can serve many other A-Train applications. (The shortname for this CloudSat-collocated OMI Level 2 Total Ozone Column subset is OMTO3_CPR_V003) proprietary
OMTO3d_003 OMI/Aura TOMS-Like Ozone, Aerosol Index, Cloud Radiance Fraction L3 1 day 1 degree x 1 degree V3 (OMTO3d) at GES DISC GES_DISC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1266136070-GES_DISC.umm_json The OMI science team produces this Level-3 daily global TOMS-Like Total Column Ozone gridded product OMTO3d (1 deg Lat/Lon grids). The OMTO3d product is produced by gridding and averaging only good quality level-2 total column ozone orbital swath data (OMTO3, based on the enhanced TOMS version-8 algorithm) on the 1x1 degree global grids. The OMTO3d files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3d data product is about 0.65 Mbytes. proprietary
OMTO3e_003 OMI/Aura Ozone (O3) Total Column Daily L3 Global 0.25deg Lat/Lon Grid NRT OMINRT STAC Catalog 2004-07-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1428966163-OMINRT.umm_json The OMI science team produces this Level-3 Aura/OMI Global TOMS-Like Total Column Ozone gridded product OMTO3e (0.25deg Lat/Lon grids). The OMTO3e product selects the best pixel (shortest path length) data from the good quality filtered level-2 total column ozone data (OMTO3) that fall in the 0.25 x 0.25 degree global grids. Each file contains total column ozone, radiative cloud fraction and solar and viewing zenith angles. OMTO3e files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3e data product is about 2.8 Mbytes. (The shortname for this Level-3 TOMS-Like Total Column Ozone gridded product is OMTO3e) . proprietary
@@ -11793,10 +11804,10 @@ OWLETS2_Sondes_Data_1 OWLETS-2 Ozonesonde Data LARC_ASDC STAC Catalog 2018-06-07
OWLETS2_SurfaceLidar_Data_1 OWLETS-2 Surface Lidar Data LARC_ASDC STAC Catalog 2018-05-23 2018-11-13 -78, 36, -75, 41 https://cmr.earthdata.nasa.gov/search/concepts/C1997469946-LARC_ASDC.umm_json OWLETS2_SurfaceLidar_Data_1 is the Ozone Water-Land Environmental Transition Study (OWLETS-2) NASA GSFC TROPOZ, NASA LMOL, and wind lidar data collected at Hart Miller Island site and UMBC site during the OWLETS-2 field campaign. OWLETS was supported by the NASA Science Innovation Fund (SIF). Data collection is complete. Coastal regions have typically posed a challenge for air quality researchers due to a lack of measurements available over water and water-land boundary transitions. Supported by NASA’s Science Innovation Fund (SIF), the Ozone Water-Land Environmental Transition Study (OWLETS) field campaign examined ozone concentrations and gradients over the Chesapeake Bay from July 5, 2017 – August 3, 2017, with twelve intensive measurement days occurring during this time period. OWLETS utilized a unique combination of instrumentation, including aircraft, TOLNet ozone lidars (NASA Goddard Space Flight Center Tropospheric Ozone Differential Absorption Lidar and NASA Langley Research Center Mobile Ozone Lidar), UAV/drones, ozonesondes, AERONET sun photometers, and mobile and ship-based measurements, to characterize the land-water differences in ozone and other pollutants. Two main research sites were established as part of the campaign: an over-land site at NASA LaRC, and an over-water site at the Chesapeake Bay Bridge Tunnel. These two research sites were established to provide synchronous vertical measurements of meteorology and pollutants over water and over land. In combination with mobile observations between the two sites, pollutant gradients were able to be observed and used to better understand the fundamental processes occurring at the land-water interface. OWLETS-2 was completed from June 6, 2018 – July 6, 2018 in the upper Chesapeake Bay region. Research sites were established at the University of Maryland, Baltimore County (UMBC), Hart Miller Island (HMI), and Howard University Beltsville (HUBV), with HMI representing the over-water location and UMBC and HUBV representing the over-land sites. Similar measurements were carried out to further characterize water-land gradients in the upper Chesapeake Bay. The measurements completed during OWLETS are of importance in enhancing air quality models, and improving future satellite retrievals, particularly, NASA’s Tropospheric Emissions: Monitoring of Pollution, which is scheduled to launch in 2022. proprietary
OWLETS2_Surface_Data_1 OWLETS-2 Surface (Ground) Data LARC_ASDC STAC Catalog 2018-05-23 2018-08-02 -78, 36, -75, 41 https://cmr.earthdata.nasa.gov/search/concepts/C1997476049-LARC_ASDC.umm_json OWLETS2_Surface_Data_1 is the Ozone Water-Land Environmental Transition Study (OWLETS-2) data collected via in-situ and remote sensing instrumentation at various ground/surface sites during the OWLETS-2 field campaign. OWLETS and OWLETS-2 were supported by the NASA Science Innovation Fund (SIF). Data includes ozone measurements. Data collection is complete. Coastal regions have typically posed a challenge for air quality researchers due to a lack of measurements available over water and water-land boundary transitions. Supported by NASA’s Science Innovation Fund (SIF), the Ozone Water-Land Environmental Transition Study (OWLETS) field campaign examined ozone concentrations and gradients over the Chesapeake Bay from July 5, 2017 – August 3, 2017, with twelve intensive measurement days occurring during this time period. OWLETS utilized a unique combination of instrumentation, including aircraft, TOLNet ozone lidars (NASA Goddard Space Flight Center Tropospheric Ozone Differential Absorption Lidar and NASA Langley Research Center Mobile Ozone Lidar), UAV/drones, ozonesondes, AERONET sun photometers, and mobile and ship-based measurements, to characterize the land-water differences in ozone and other pollutants. Two main research sites were established as part of the campaign: an over-land site at NASA LaRC, and an over-water site at the Chesapeake Bay Bridge Tunnel. These two research sites were established to provide synchronous vertical measurements of meteorology and pollutants over water and over land. In combination with mobile observations between the two sites, pollutant gradients were able to be observed and used to better understand the fundamental processes occurring at the land-water interface. OWLETS-2 was completed from June 6, 2018 – July 6, 2018 in the upper Chesapeake Bay region. Research sites were established at the University of Maryland, Baltimore County (UMBC), Hart Miller Island (HMI), and Howard University Beltsville (HUBV), with HMI representing the over-water location and UMBC and HUBV representing the over-land sites. Similar measurements were carried out to further characterize water-land gradients in the upper Chesapeake Bay. The measurements completed during OWLETS are of importance in enhancing air quality models, and improving future satellite retrievals, particularly, NASA’s Tropospheric Emissions: Monitoring of Pollution, which is scheduled to launch in 2022. proprietary
OWLETS2_UMDAircraft_Data_1 OWLETS-2 University of Maryland Cessna Aircraft Data LARC_ASDC STAC Catalog 2017-07-07 2018-07-20 -78, 36, -70, 43 https://cmr.earthdata.nasa.gov/search/concepts/C1997477322-LARC_ASDC.umm_json OWLETS2_UMDAircraft_Data_1 is the Ozone Water-Land Environmental Transition Study (OWLETS-2) data collected onboard the University of Maryland Cessna Aircraft. Data include trace gas measurements, greenhouse gases, aerosols, and aircraft navigational and housekeeping data collected via remote sensing and in-situ instrumentation. This collection features data from the GeoTASO instrument, a pre-cursor to the TEMPO satellite. OWLETS and OWLETS-2 were supported by the NASA Science Innovation Fund (SIF). Data collection is complete. Coastal regions have typically posed a challenge for air quality researchers due to a lack of measurements available over water and water-land boundary transitions. Supported by NASA’s Science Innovation Fund (SIF), the Ozone Water-Land Environmental Transition Study (OWLETS) field campaign examined ozone concentrations and gradients over the Chesapeake Bay from July 5, 2017 – August 3, 2017, with twelve intensive measurement days occurring during this time period. OWLETS utilized a unique combination of instrumentation, including aircraft, TOLNet ozone lidars (NASA Goddard Space Flight Center Tropospheric Ozone Differential Absorption Lidar and NASA Langley Research Center Mobile Ozone Lidar), UAV/drones, ozonesondes, AERONET sun photometers, and mobile and ship-based measurements, to characterize the land-water differences in ozone and other pollutants. Two main research sites were established as part of the campaign: an over-land site at NASA LaRC, and an over-water site at the Chesapeake Bay Bridge Tunnel. These two research sites were established to provide synchronous vertical measurements of meteorology and pollutants over water and over land. In combination with mobile observations between the two sites, pollutant gradients were able to be observed and used to better understand the fundamental processes occurring at the land-water interface. OWLETS-2 was completed from June 6, 2018 – July 6, 2018 in the upper Chesapeake Bay region. Research sites were established at the University of Maryland, Baltimore County (UMBC), Hart Miller Island (HMI), and Howard University Beltsville (HUBV), with HMI representing the over-water location and UMBC and HUBV representing the over-land sites. Similar measurements were carried out to further characterize water-land gradients in the upper Chesapeake Bay. The measurements completed during OWLETS are of importance in enhancing air quality models, and improving future satellite retrievals, particularly, NASA’s Tropospheric Emissions: Monitoring of Pollution, which is scheduled to launch in 2022. proprietary
-OceanSat-2.NRT.data_NA OceanSat-2 NRT data ESA STAC Catalog 2015-10-27 -20, -30, 41, 70 https://cmr.earthdata.nasa.gov/search/concepts/C1532648150-ESA.umm_json ESA, in collaboration with GAF AG, acquires and process every day OceanSat-2 passes over Neutrelitz reception station from 1 January 2016. All passes are systematically processed to levels 1B, 2B and 2C, and available for users in NRT (< 3 hours). Products are available in: • Level 1B: Geophysical Data containing Radiance Data for all 8 Bands of OCM-2 • Level 2B: Geophysical Data L2B for given Geo physical parameter. Geo physical parameters: Chlorophyll, Aerosol Depth, Different Attenuation, Total Suspended Sediments • Level 2C: Georeferenced Radiance Data for given geo physical parameter. Geo physical parameters: Chlorophyll, Aerosol Depth, Different Attenuation, Total Suspended Sediments proprietary
+OceanSat-2.NRT.data_9.0 OceanSat-2 NRT data ESA STAC Catalog 2015-10-27 2021-11-07 -20, -30, 41, 70 https://cmr.earthdata.nasa.gov/search/concepts/C1532648150-ESA.umm_json ESA, in collaboration with GAF AG, acquired and processed every day OceanSat-2 passes over Neutrelitz reception station from January 2016 to November 2021. All passes were systematically processed to levels 1B, 2B and 2C, and available to users in NRT (< 3 hours). Products are available in: • Level 1B: Geophysical Data containing Radiance Data for all 8 Bands of OCM-2 • Level 2B: Geophysical Data L2B for given Geo physical parameter. Geo physical parameters: Chlorophyll, Aerosol Depth, Different Attenuation, Total Suspended Sediments • Level 2C: Georeferenced Radiance Data for given geo physical parameter. Geo physical parameters: Chlorophyll, Aerosol Depth, Different Attenuation, Total Suspended Sediments proprietary
Ocean_Color_Cal_Val_0 Ocean color calibration and validation measurements off the New Jersey and New York coasts OB_DAAC STAC Catalog 2005-03-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360535-OB_DAAC.umm_json Measurements made off the New Jersey and New York coasts between 2005 and 2009. proprietary
Oceania_0 Measurements taken onboard the R/V Oceania during 1998 to 2000 OB_DAAC STAC Catalog 1998-06-22 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360536-OB_DAAC.umm_json Measurements taken during 1998 to 2000 in the Norwegian Sea. proprietary
-Odin.OSIRIS_NA Odin OSIRIS data products ESA STAC Catalog 2001-02-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689615-ESA.umm_json The Odin OSIRIS (Optical Spectrograph and Infra-Red Imaging System) data provides vertical profiles measures of spectrally dispersed, limb scattered sunlight from the upper troposphere into the lower mesosphere. The data products are regularly processed and provide Ozone density vertical profiles (both Level 2 and Level 3), vertical profiles of stratospheric Aerosol (both Level 2 and Level 3), slant column densities of nitrogen dioxide NO2 profiles (Level 2), stratospheric BrO profiles (Level 2) proprietary
+Odin.OSIRIS_4.0 Odin OSIRIS data products ESA STAC Catalog 2001-02-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689615-ESA.umm_json The Odin OSIRIS (Optical Spectrograph and Infra-Red Imaging System) data provides vertical profiles measures of spectrally dispersed, limb scattered sunlight from the upper troposphere into the lower mesosphere. The data products are regularly processed and provide Ozone density vertical profiles (both Level 2 and Level 3), vertical profiles of stratospheric Aerosol (both Level 2 and Level 3), slant column densities of nitrogen dioxide NO2 profiles (Level 2), stratospheric BrO profiles (Level 2) proprietary
Odyssee_Saint_Laurent_0 Odyssee Saint Laurent OB_DAAC STAC Catalog 2019-02-03 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1987169257-OB_DAAC.umm_json From Réseau Québec maritime (RQM)'s Odyssée Saint-Laurent research program, this mission used the icebreaker C.C.G.S. Amundsen to gain knowledge on the St. Lawrence system (eastern Canada) in winter 2019. proprietary
Okeechobee_0 Measurements in Lake Okeechobee, Florida, 1997 - 1999 OB_DAAC STAC Catalog 1997-02-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360567-OB_DAAC.umm_json Optical measurements made in Lake Okeechobee, Florida, between 1997 and 1999 proprietary
Open Cities AI Challenge Dataset_1 Open Cities AI Challenge Dataset MLHUB STAC Catalog 2020-01-01 2023-01-01 -10.8010452, -6.9410716, 55.5324196, 13.5839698 https://cmr.earthdata.nasa.gov/search/concepts/C2781412511-MLHUB.umm_json This dataset was developed as part of a challenge to segment building footprints from aerial imagery. The goal of the challenge was to accelerate the development of more accurate, relevant, and usable open-source AI models to support mapping for disaster risk management in African cities [Read more about the [challenge](https://www.drivendata.org/competitions/60/building-segmentation-disaster-resilience/)]. The data consists of drone imagery from 10 different cities and regions across Africa proprietary
@@ -11810,7 +11821,6 @@ P6_LIS3_STUC00GTD_1.0 Resourcesat-1 LIS3 Standard Products ISRO STAC Catalog 200
PACE-PAX_0 The Plankton, Aerosol, Cloud, ocean Ecosystem Postlaunch Airborne eXperiment OB_DAAC STAC Catalog 2024-08-01 2024-10-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3268194735-OB_DAAC.umm_json PACE-PAX SeaBASS DOI description: The Plankton, Aerosol, Cloud, ocean Ecosystem Postlaunch Airborne eXperiment (PACE-PAX) was a field campaign to support validation of the PACE mission through a combination of multiple platforms including aircraft (ER-2, CIRPAS Twin Otter), ships (R/V Shearwater, R/V Blissfully), autonomous ocean- and land-based instruments, and collaboration with the PACE Validation Science Teams (e.g.PVST-SBCR and PVST-CALCOFI) and PACE Vicarious Calibration systems (HyperNAV). The PACE-PAX mission took place during the month of September 2024 in Southern and Central California and nearby coastal regions. All PACE-PAX data are to be archived in 3 main data repositories: (1) NASA AIR-LARC for all aircraft data (until final data submission in March 2025 then migrated to the Langley Airborne DAAC), (2) AERONET-MAN for Microtops data, and (3) SeaBASS for all ocean optical, biogeochemical and phytoplankton data. The SeaBASS PACE-PAX DOI is split into 4 main cruises: PACE-PAX_Shearwater (cruise_id=RFDDMM-RS), PACE-PAX_Blissfully (cruise_id=RFDDMM-RB), PACE-PAX_SBCR (cruise_id=RFMMDD-SB), PACE-PAX_CALCOFI (cruise_id=RFMMDD-CL) where DDMM, represent the day and month collection date. proprietary
PACE_ABSclosure_0 PACE Absorbance Closure project, Florida OB_DAAC STAC Catalog 2017-01-09 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360584-OB_DAAC.umm_json Measurements from the PACE Absorbance Closure project off the coast of Florida. proprietary
PACE_EPH_DEF_1 PACE Definitive Ephemeris Data Data, V1 OB_CLOUD STAC Catalog 2024-02-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3020918309-OB_CLOUD.umm_json The Plankton, Aerosol, Cloud, and ocean Ecosystem (PACE) mission launched in February 2024. The mission will carry three instruments - one hyperspectral radiometer (OCI) and two multi-angle polarimeters (HARP2 and SPEXone). The range that PACE's instruments will observe includes the UV (350-400 nm), visible (400-700 nm), and near infrared (700-885 nm), as well as several shortwave infrared bands. proprietary
-PACE_HARP2_L0_1 PACE HARP2 Level-0 Instrument Telemetry/Multi-Detector Data, V1 OB_CLOUD STAC Catalog 2024-02-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2804798249-OB_CLOUD.umm_json The Hyper-Angular Rainbow Polarimeter #2 (HARP2) instrument, flying aboard the PACE spacecraft, is a wide-angle imaging polarimeter designed to measure aerosol particles and clouds, as well as properties of land and water surfaces. HARP2 will combine data from multiple along-track viewing angles (up to 60), four spectral bands in the visible and near infrared ranges, and three angles of linear polarization to measure the microphysical properties of the atmospheric particles including their size distribution, amount, refractive indices and particle shape. proprietary
PACE_HARP2_L0_D1_1 PACE HARP2 Level-0 Detector 1 (D1) Data, V1 OB_CLOUD STAC Catalog 2024-02-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2804798238-OB_CLOUD.umm_json The Hyper-Angular Rainbow Polarimeter #2 (HARP2) instrument, flying aboard the PACE spacecraft, is a wide-angle imaging polarimeter designed to measure aerosol particles and clouds, as well as properties of land and water surfaces. HARP2 will combine data from multiple along-track viewing angles (up to 60), four spectral bands in the visible and near infrared ranges, and three angles of linear polarization to measure the microphysical properties of the atmospheric particles including their size distribution, amount, refractive indices and particle shape. proprietary
PACE_HARP2_L0_D2_1 PACE HARP2 Level-0 Detector 2 (D2) Data, V1 OB_CLOUD STAC Catalog 2024-02-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2804798239-OB_CLOUD.umm_json The Hyper-Angular Rainbow Polarimeter #2 (HARP2) instrument, flying aboard the PACE spacecraft, is a wide-angle imaging polarimeter designed to measure aerosol particles and clouds, as well as properties of land and water surfaces. HARP2 will combine data from multiple along-track viewing angles (up to 60), four spectral bands in the visible and near infrared ranges, and three angles of linear polarization to measure the microphysical properties of the atmospheric particles including their size distribution, amount, refractive indices and particle shape. proprietary
PACE_HARP2_L0_D3_1 PACE HARP2 Level-0 Detector 3 (D3) Data, V1 OB_CLOUD STAC Catalog 2024-02-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2804798240-OB_CLOUD.umm_json The Hyper-Angular Rainbow Polarimeter #2 (HARP2) instrument, flying aboard the PACE spacecraft, is a wide-angle imaging polarimeter designed to measure aerosol particles and clouds, as well as properties of land and water surfaces. HARP2 will combine data from multiple along-track viewing angles (up to 60), four spectral bands in the visible and near infrared ranges, and three angles of linear polarization to measure the microphysical properties of the atmospheric particles including their size distribution, amount, refractive indices and particle shape. proprietary
@@ -11878,7 +11888,6 @@ PACE_OCI_L3B_AER_DT_NRT_2.0 PACE OCI Level-3 Global Binned Aerosol Optical Prope
PACE_OCI_L3B_AOT_2.0 PACE OCI Level-3 Global Binned Aerosol Optical Thickness Data, version 2.0 OB_CLOUD STAC Catalog 2024-02-25 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3020921996-OB_CLOUD.umm_json The primary sensor aboard the PACE spacecraft is the Ocean Color Instrument (OCI). It is a highly advanced optical spectrometer that will be used to measure properties of light over portions of the electromagnetic spectrum. It will enable continuous measurement of light at finer wavelength resolution than previous NASA satellite sensors, extending key system ocean color data records for climate studies. proprietary
PACE_OCI_L3B_AOT_NRT_2.0 PACE OCI Level-3 Global Binned Aerosol Optical Thickness (AOT), Near Real-time (NRT) Data, version 2.0 OB_CLOUD STAC Catalog 2024-02-25 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3020921937-OB_CLOUD.umm_json The Ocean Biology DAAC produces near real-time (quicklook) products using the best-available combination of ancillary data from meteorological and ozone data. As such, the inputs and the calibration used are less than optimal. Quicklook products provide a snapshot of the data during a short time period within a single orbit. proprietary
PACE_OCI_L3B_AVW_2.0 PACE OCI Level-3 Global Binned Apparent Visible Wavelength (AVW) Data, version 2.0 OB_CLOUD STAC Catalog 2024-02-25 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3020922135-OB_CLOUD.umm_json The primary sensor aboard the PACE spacecraft is the Ocean Color Instrument (OCI). It is a highly advanced optical spectrometer that will be used to measure properties of light over portions of the electromagnetic spectrum. It will enable continuous measurement of light at finer wavelength resolution than previous NASA satellite sensors, extending key system ocean color data records for climate studies. proprietary
-PACE_OCI_L3B_AVW_NRT_2.0 PACE OCI Level-3 Global Binned Apparent Visible Wavelength (AVW) - Near Real Time (NRT) Data, version 2.0 OB_CLOUD STAC Catalog 2024-02-25 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3020922066-OB_CLOUD.umm_json The Ocean Biology DAAC produces near real-time (quicklook) products using the best-available combination of ancillary data from meteorological and ozone data. As such, the inputs and the calibration used are less than optimal. Quicklook products provide a snapshot of the data during a short time period within a single orbit. proprietary
PACE_OCI_L3B_CARBON_2.0 PACE OCI Level-3 Global Binned Carbon Data, version 2.0 OB_CLOUD STAC Catalog 2024-02-25 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3020922231-OB_CLOUD.umm_json The primary sensor aboard the PACE spacecraft is the Ocean Color Instrument (OCI). It is a highly advanced optical spectrometer that will be used to measure properties of light over portions of the electromagnetic spectrum. It will enable continuous measurement of light at finer wavelength resolution than previous NASA satellite sensors, extending key system ocean color data records for climate studies. proprietary
PACE_OCI_L3B_CARBON_NRT_2.0 PACE OCI Level-3 Global Binned Carbon, Near Real-time (NRT) Data, version 2.0 OB_CLOUD STAC Catalog 2024-02-25 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3020922208-OB_CLOUD.umm_json The Ocean Biology DAAC produces near real-time (quicklook) products using the best-available combination of ancillary data from meteorological and ozone data. As such, the inputs and the calibration used are less than optimal. Quicklook products provide a snapshot of the data during a short time period within a single orbit. proprietary
PACE_OCI_L3B_CHL_2.0 PACE OCI Level-3 Global Binned Chlorophyll (CHL) Data, version 2.0 OB_CLOUD STAC Catalog 2024-02-25 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3020922315-OB_CLOUD.umm_json The primary sensor aboard the PACE spacecraft is the Ocean Color Instrument (OCI). It is a highly advanced optical spectrometer that will be used to measure properties of light over portions of the electromagnetic spectrum. It will enable continuous measurement of light at finer wavelength resolution than previous NASA satellite sensors, extending key system ocean color data records for climate studies. proprietary
@@ -11967,8 +11976,8 @@ PASSCAL_FOGO 1991 Fogo Island On-Shore Off-Shore Experiment SCIOPS STAC Catalog
PASSCAL_KRAFLA 1994 Krafla Undershooting Experiment SCIOPS STAC Catalog 1970-01-01 -24.55, 62.81, -12.79, 67.01 https://cmr.earthdata.nasa.gov/search/concepts/C1214610676-SCIOPS.umm_json Thirty-eight instruments were used to shoot two perpendicular refraction profiles across the Krafla central volcano. The North/South profile is 20 km long while the East/West profile is 55 km long. Average station spacing was 500 m in the caldera and 1-4 km elswhere. A total of three shots were used in the NS profile and 6 shots were used in the EW profile. proprietary
PASSCAL_WABASH A comprehensive geophysical investigation to assess seismic hazards in the coassesment of seismicity in the Wabash Valley SCIOPS STAC Catalog 1995-11-01 1996-06-30 -88.1706, 38.2057, -88.1706, 38.2057 https://cmr.earthdata.nasa.gov/search/concepts/C1214608969-SCIOPS.umm_json Recent paleoseismic evidence had shown there were 5-8 magnitude greater than 6 earthquakes in this region in the past 20,000 years. The study area has always been at the fringe of previously operated seismic networks. A focused, short-term deployment was designed to lower the detection threshold to determine seismicity rates for the region for comparison with estimates derived from paleoseismicity. The researchers hoped to relate observed seismicity to faults mapped in the subsurface through new seismic reflection data made available to the Illinois Basin Consortium. proprietary
PATEX_0 PATagonia EXperiment (PATEX) Project OB_DAAC STAC Catalog 2004-11-03 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360589-OB_DAAC.umm_json PATagonia EXperiment (PATEX) Project is a Brazilian research project, which has the overall objective of characterizing the environmental constraints, phytoplankton assemblages, primary production rates, bio-optical characteristics, and air-sea CO2 fluxes waters along the Argentinean shelf-break during austral spring and summer. A set of seven PATEX cruises were conducted from 2004 to 2009. Garcia et al., 2011 (doi:10.1029/2010JC006595) proprietary
-PAZ.ESA.archive_NA PAZ ESA archive ESA STAC Catalog 2018-09-06 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2547579176-ESA.umm_json "The PAZ ESA archive collection consists of PAZ Level 1 data previously requested by ESA supported projects over their areas of interest around the world and, as a consequence, the products are scattered and dispersed worldwide and in different time windows. The dataset regularly grows as ESA collects new products over the years. Available modes are: • StripMap mode (SM): SSD less than 3m for a scene 30km x 50km in single polarization or 15km x 50km in dual polarisation • ScanSAR mode (SC): the scene is 100 x 150 km2, SSD less than 18m in signle pol only • Wide ScanSAR mode (WS): single polarisation only, with SS less than 40m and scene size of 270 x 200 km2 • Spotlight modes (SL): SSD less than 2m for a scene 10km x 10km, both single and dual polarization are available • High Resolution Spotlight mode (HS): in both single and dual polarisation, the scene is 10x5 km2, SSD less than 1m • Staring Spotlight mode (ST): SSD is 25cm, the scene size is 4 x 4 km2, in single polarisation only. The available geometric projections are: • Single Look Slant Range Complex (SSC): single look product, no geocoding, no radiometric artifact included, the pixel spacing is equidistant in azimuth and in ground range • Multi Look Ground Range Detected (MGD): detected multi look product, simple polynomial slant-to-ground projection is performed in range, no image rotation to a map coordinate system is performed • Geocoded Ellipsoid Corrected (GEC): multi look detected product, projected and re-sampled to the WGS84 reference ellipsoid with no terrain corrections • Enhanced Ellipsoid Corrected (EEC): multi look detected product, projected and re-sampled to the WGS84 reference ellipsoid, the image distortions caused by varying terrain height are corrected using a DEM The following table summarises the offered product types EO-SIP product type Operation Mode Geometric Projection PSP_SM_SSC Stripmap (SM) Single Look Slant Range Complex (SSC) PSP_SM_MGD Stripmap (SM) Multi Look Ground Range Detected (MGD) PSP_SM_GEC Stripmap (SM) Geocoded Ellipsoid Corrected (GEC) PSP_SM_EEC Stripmap (SM) Enhanced Ellipsoid Corrected (EEC) PSP_SC_MGD ScanSAR (SC) Single Look Slant Range Complex (SSC) PSP_SC_GEC ScanSAR (SC) Multi Look Ground Range Detected (MGD) PSP_SC_EEC ScanSAR (SC) Geocoded Ellipsoid Corrected (GEC) PSP_SC_SSC ScanSAR (SC) Enhanced Ellipsoid Corrected (EEC) PSP_SL_SSC Spotlight (SL) Single Look Slant Range Complex (SSC) PSP_SL_MGD Spotlight (SL) Multi Look Ground Range Detected (MGD) PSP_SL_GEC Spotlight (SL) Geocoded Ellipsoid Corrected (GEC) PSP_SL_EEC Spotlight (SL) Enhanced Ellipsoid Corrected (EEC) PSP_HS_SSC High Resolution Spotlight (HS) Single Look Slant Range Complex (SSC) PSP_HS_MGD High Resolution Spotlight (HS) Multi Look Ground Range Detected (MGD) PSP_HS_GEC High Resolution Spotlight (HS) Geocoded Ellipsoid Corrected (GEC) PSP_HS_EEC High Resolution Spotlight (HS) Enhanced Ellipsoid Corrected (EEC) PSP_ST_SSC Staring Spotlight (ST) Single Look Slant Range Complex (SSC) PSP_ST_MGD Staring Spotlight (ST) Multi Look Ground Range Detected (MGD) PSP_ST_GEC Staring Spotlight (ST) Geocoded Ellipsoid Corrected (GEC) PSP_ST_EEC Staring Spotlight (ST) Enhanced Ellipsoid Corrected (EEC) PSP_WS_SSC Wide ScanSAR (WS) Single Look Slant Range Complex (SSC) PSP_WS_MGD Wide ScanSAR (WS) Multi Look Ground Range Detected (MGD) PSP_WS_GEC Wide ScanSAR (WS) Geocoded Ellipsoid Corrected (GEC) PSP_WS_EEC Wide ScanSAR (WS) Enhanced Ellipsoid Corrected (EEC)" proprietary
-PAZ.Full.Archive.and.New.Tasking_NA PAZ Full Archive and New Tasking ESA STAC Catalog 2018-09-06 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689657-ESA.umm_json PAZ Image Products can be acquired in 8 image modes with flexible resolutions (from 1 m to 40 m) and scene sizes. Thanks to different polarimetric combinations and processing levels the delivered imagery can be tailored specifically to meet the requirements of the application. Available modes are: • StripMap mode (SM) in single and dual polarisation: The ground swath is illuminated with a continuous train of pulses while the antenna beam is pointed to a fixed angle, both in elevation and in azimuth. • ScanSAR mode (SC) in single polarisation: the swath width is increased respecting to the StripMap mode, it is composed of four different sub-swaths, which are obtained by antenna steering in elevation direction. • Wide ScanSAR mode (WS), in single polarisation: the usage of six sub-swaths allows to obtain a higher swath coverage product. • Spotlight modes: in single and dual polarisation: Spotlight modes take advantage of the beam steering capability in the azimuth plane to illuminate for a longer time the area of interest: a sensible improvement of the azimuth resolution is achieved at the expense of a shorter scene size. Spotlight mode (SL) is designed to maximise the azimuth scene extension at the expense of the spatial resolution, and High Resolution Spotlight mode (HS) is designed to maximize the spatial resolutions at the expense of the scene extension. • Staring Spotlight mode (ST), in single polarisation: The virtual rotation point coincides with the center of the beam: the image length in the flight direction is constrained by the projection on- ground of the azimuth beamwidth and it leads to a target azimuth illumination time increment and to achieve the best azimuth resolution. There are two main classes of products: • Spatially Enhanced products (SE): designed with the target of maximize the spatial resolution in pixels with squared size, so the larger resolution value of azimuth or ground range determines the square pixel size, and the smaller resolution value is adjusted to this size and the corresponding reduction of the bandwidth is used for speckle reduction. • Radiometrically Enhanced products (RE): designed with the target of maximize the radiometry, so the range and azimuth resolutions are intentionally decreased to significantly reduce speckle by averaging several looks. The following geometric projections are offered: • Single Look Slant Range Complex (SSC): single look product of the focused radar signal: the pixels are spaced equidistant in azimuth and in slant range. No geocoding is available, no radiometric artifacts included. Product delivered in the DLR-defined binary COSAR format. The SSC product is intended for applications that require the full bandwidth and phase information, e.g. for SAR interferometry and polarimetry. • Multi Look Ground Range Detected (MGD): detected multi look product in GeoTiff format with reduced speckle and approximately square resolution cells on ground. The image coordinates are oriented along flight direction and along ground range; the pixel spacing is equidistant in azimuth and in ground range. A simple polynomial slant to ground projection is performed in range using a WGS84 ellipsoid and an average, constant terrain height parameter. No image rotation to a map coordinate system is performed and interpolation artifacts are thus avoided. • Geocoded Ellipsoid Corrected (GEC): multi look detected product in GeoTiff format. It is projected and re-sampled to the WGS84 reference ellipsoid assuming one average terrain height. No terrain correction performed. UTM is the standard projection, for polar regions UPS is applied. • Enhanced Ellipsoid Corrected (EEC): multi look detected product in GeoTiff format. It is projected and re-sampled to the WGS84 reference ellipsoid. The image distortions caused by varying terrain height are corrected using an external DEM; therefore the pixel localization in these products is highly accurate. UTM is the standard projection, for polar regions UPS is applied. StripMap Single Mode ID: SM-S Polarizations: HH, VV, HV, VH Scene size (Range x Azimuth) [km]: 30 x 50 Range Resolution [m]: - MGD, GEC, EEC (SE)[Ground range] 2.99 - 3.52 at (45° - 20°) - MGD, GEC, EEC (RE)[Ground range] 6.53 - 7.65 at (45° - 20°) - SSC[Slant range] 1.1 (150 MHz bandwidth) 1.7 (100 MHz bandwidth) Azimuth Resolution [m]: - MGD, GEC, EEC (SE) 3.05 - MGD, GEC, EEC (RE) 6.53 - 7.60 at (45° - 20°) - SSC 3.01 StripMap Dual Mode ID: SM-D Polarizations: HH/VV, HH/HV, VV/VH Scene size (Range x Azimuth) [km]: 15 x 50 Range Resolution [m]: - MGD, GEC, EEC (SE)[Ground range] 6 - MGD, GEC, EEC (RE)[Ground range] 7.51 - 10.43 at (45° - 20°) - SSC[Slant range] 1.18 Azimuth Resolution [m]: - MGD, GEC, EEC (SE) 6.11 - MGD, GEC, EEC (RE) 7.52 - 10.4 at (45° - 20°) - SSC ScanSAR Mode ID: SC Polarizations: HH, VV, HV, VH Scene size (Range x Azimuth) [km]: 100 x 150 Range Resolution [m]: - MGD, GEC, EEC (SE)[Ground range] N/A - MGD, GEC, EEC (RE)[Ground range] 16.79 - 18.19 at (45° - 20°) - SSC[Slant range] 1.17 - 3.4 (depending on range bandwidth) Azimuth Resolution [m]: - MGD, GEC, EEC (SE) N/A - MGD, GEC, EEC (RE) 17.66 - 18.18 at (45° - 20°) - SSC 18.5 Wide ScanSAR Mode ID: WS Polarizations: HH, VV, HV, VH Scene size (Range x Azimuth) [km]: [273-196] x 208 Range Resolution [m]: - MGD, GEC, EEC (SE)[Ground range] N/A - MGD, GEC, EEC (RE)[Ground range] 35 - SSC[Slant range] 1.75 - 3.18 (depending on range bandwidth) Azimuth Resolution [m]: - MGD, GEC, EEC (SE) N/A - MGD, GEC, EEC (RE) 39 - SSC 38.27 Spotlight Single Mode ID: SL-S Polarizations: HH, VV, HV, VH Scene size (Range x Azimuth) [km]: 10 x 10 Range Resolution [m]: - MGD, GEC, EEC (SE)[Ground range] 1.55 - 3.43 at (55° - 20°) - MGD, GEC, EEC (RE)[Ground range] 3.51 - 5.43 at (55° - 20°) - SSC[Slant range] 1.18 Azimuth Resolution [m]: - MGD, GEC, EEC (SE) 1.56 - 2.9 at (55° - 20°) - MGD, GEC, EEC (RE) 3.51 - 5.4 at (55° - 20°) - SSC 1.46 Spotlight Dual Mode ID: SL-D Polarizations: HH/VV, HH/HV, VV/VH Scene size (Range x Azimuth) [km]: 10 x 10 Range Resolution [m]: - MGD, GEC, EEC (SE)[Ground range] 3.09 - 3.5 at (55° - 20°) - MGD, GEC, EEC (RE)[Ground range] 4.98 - 7.63 at (55° - 20°) - SSC[Slant range] 1.17 Azimuth Resolution [m]: - MGD, GEC, EEC (SE) 3.53 - MGD, GEC, EEC (RE) 4.99 - 7.64 at (55° - 20°) - SSC 3.1 HR Spotlight Single Mode ID: HS-S Polarizations: HH, VV, HV, VH Scene size (Range x Azimuth) [km]: 10-6 x 5 (depending on incident angle) Range Resolution [m]: - MGD, GEC, EEC (SE)[Ground range] 1 - 1.76 at (55° - 20°) - MGD, GEC, EEC (RE)[Ground range] 2.83 - 3.11 at (55° - 20°) - SSC[Slant range] 0.6 Azimuth Resolution [m]: - MGD, GEC, EEC (SE) 1 - 1.49 at (55 °- 20°) - MGD, GEC, EEC (RE) 2.83 - 3.13 at (55° - 20°) - SSC 1.05 HR Spotlight Dual Mode ID: HS-D Polarizations: HH/VV, HH/HV, VV/VH Scene size (Range x Azimuth) [km]: 10 x 5 Range Resolution [m]: - MGD, GEC, EEC (SE)[Ground range] 2 - 3.5 at (55° - 20°) - MGD, GEC, EEC (RE)[Ground range] 4 - 6.2 at (55° - 20°) - SSC[Slant range] 1.17 Azimuth Resolution [m]: - MGD, GEC, EEC (SE) 2.38 - 2.93 at (55° - 20°) - MGD, GEC, EEC (RE) 4 - 6.25 at (55° - 20°) - SSC 2.16 Staring Spotlight Mode ID: ST Polarizations: HH, VV, HV, VH Scene size (Range x Azimuth) [km]: [9-4.6] x [2.7-3.6] Range Resolution [m]: - MGD, GEC, EEC (SE)[Ground range] 0.96 - 1.78 at (45°- 20°) - MGD, GEC, EEC (RE)[Ground range] 0.97 - 1.78 at (45°-20°) - SSC[Slant range] 0.59 Azimuth Resolution [m]: - MGD, GEC, EEC (SE) 0.38 - 0.7 at (45°-20°) - MGD, GEC, EEC (RE) 0.97 - 1.42 at (45°-20°) - SSC 0.22 All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. For archive data, the user is invited to search PAZ products by using the USP (User Service Provider) web portal (http://www.geos.hisdesat.es/) (self registration required) in order to verify the availability over the Area of Interest in the Time of Interest. proprietary
+PAZ.ESA.archive_16.0 PAZ ESA archive ESA STAC Catalog 2018-09-06 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2547579176-ESA.umm_json "The PAZ ESA archive collection consists of PAZ Level 1 data previously requested by ESA supported projects over their areas of interest around the world and, as a consequence, the products are scattered and dispersed worldwide and in different time windows. The dataset regularly grows as ESA collects new products over the years. Available modes are: • StripMap mode (SM): SSD less than 3m for a scene 30km x 50km in single polarization or 15km x 50km in dual polarisation • ScanSAR mode (SC): the scene is 100 x 150 km2, SSD less than 18m in signle pol only • Wide ScanSAR mode (WS): single polarisation only, with SS less than 40m and scene size of 270 x 200 km2 • Spotlight modes (SL): SSD less than 2m for a scene 10km x 10km, both single and dual polarization are available • High Resolution Spotlight mode (HS): in both single and dual polarisation, the scene is 10x5 km2, SSD less than 1m • Staring Spotlight mode (ST): SSD is 25cm, the scene size is 4 x 4 km2, in single polarisation only. The available geometric projections are: • Single Look Slant Range Complex (SSC): single look product, no geocoding, no radiometric artifact included, the pixel spacing is equidistant in azimuth and in ground range • Multi Look Ground Range Detected (MGD): detected multi look product, simple polynomial slant-to-ground projection is performed in range, no image rotation to a map coordinate system is performed • Geocoded Ellipsoid Corrected (GEC): multi look detected product, projected and re-sampled to the WGS84 reference ellipsoid with no terrain corrections • Enhanced Ellipsoid Corrected (EEC): multi look detected product, projected and re-sampled to the WGS84 reference ellipsoid, the image distortions caused by varying terrain height are corrected using a DEM The following table summarises the offered product types EO-SIP product type Operation Mode Geometric Projection PSP_SM_SSC Stripmap (SM) Single Look Slant Range Complex (SSC) PSP_SM_MGD Stripmap (SM) Multi Look Ground Range Detected (MGD) PSP_SM_GEC Stripmap (SM) Geocoded Ellipsoid Corrected (GEC) PSP_SM_EEC Stripmap (SM) Enhanced Ellipsoid Corrected (EEC) PSP_SC_MGD ScanSAR (SC) Single Look Slant Range Complex (SSC) PSP_SC_GEC ScanSAR (SC) Multi Look Ground Range Detected (MGD) PSP_SC_EEC ScanSAR (SC) Geocoded Ellipsoid Corrected (GEC) PSP_SC_SSC ScanSAR (SC) Enhanced Ellipsoid Corrected (EEC) PSP_SL_SSC Spotlight (SL) Single Look Slant Range Complex (SSC) PSP_SL_MGD Spotlight (SL) Multi Look Ground Range Detected (MGD) PSP_SL_GEC Spotlight (SL) Geocoded Ellipsoid Corrected (GEC) PSP_SL_EEC Spotlight (SL) Enhanced Ellipsoid Corrected (EEC) PSP_HS_SSC High Resolution Spotlight (HS) Single Look Slant Range Complex (SSC) PSP_HS_MGD High Resolution Spotlight (HS) Multi Look Ground Range Detected (MGD) PSP_HS_GEC High Resolution Spotlight (HS) Geocoded Ellipsoid Corrected (GEC) PSP_HS_EEC High Resolution Spotlight (HS) Enhanced Ellipsoid Corrected (EEC) PSP_ST_SSC Staring Spotlight (ST) Single Look Slant Range Complex (SSC) PSP_ST_MGD Staring Spotlight (ST) Multi Look Ground Range Detected (MGD) PSP_ST_GEC Staring Spotlight (ST) Geocoded Ellipsoid Corrected (GEC) PSP_ST_EEC Staring Spotlight (ST) Enhanced Ellipsoid Corrected (EEC) PSP_WS_SSC Wide ScanSAR (WS) Single Look Slant Range Complex (SSC) PSP_WS_MGD Wide ScanSAR (WS) Multi Look Ground Range Detected (MGD) PSP_WS_GEC Wide ScanSAR (WS) Geocoded Ellipsoid Corrected (GEC) PSP_WS_EEC Wide ScanSAR (WS) Enhanced Ellipsoid Corrected (EEC)" proprietary
+PAZ.Full.Archive.and.New.Tasking_7.0 PAZ Full Archive and New Tasking ESA STAC Catalog 2018-09-06 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689657-ESA.umm_json PAZ Image Products can be acquired in 8 image modes with flexible resolutions (from 1 m to 40 m) and scene sizes. Thanks to different polarimetric combinations and processing levels the delivered imagery can be tailored specifically to meet the requirements of the application. Available modes are: • StripMap mode (SM) in single and dual polarisation: The ground swath is illuminated with a continuous train of pulses while the antenna beam is pointed to a fixed angle, both in elevation and in azimuth. • ScanSAR mode (SC) in single polarisation: the swath width is increased respecting to the StripMap mode, it is composed of four different sub-swaths, which are obtained by antenna steering in elevation direction. • Wide ScanSAR mode (WS), in single polarisation: the usage of six sub-swaths allows to obtain a higher swath coverage product. • Spotlight modes: in single and dual polarisation: Spotlight modes take advantage of the beam steering capability in the azimuth plane to illuminate for a longer time the area of interest: a sensible improvement of the azimuth resolution is achieved at the expense of a shorter scene size. Spotlight mode (SL) is designed to maximise the azimuth scene extension at the expense of the spatial resolution, and High Resolution Spotlight mode (HS) is designed to maximize the spatial resolutions at the expense of the scene extension. • Staring Spotlight mode (ST), in single polarisation: The virtual rotation point coincides with the center of the beam: the image length in the flight direction is constrained by the projection on- ground of the azimuth beamwidth and it leads to a target azimuth illumination time increment and to achieve the best azimuth resolution. There are two main classes of products: • Spatially Enhanced products (SE): designed with the target of maximize the spatial resolution in pixels with squared size, so the larger resolution value of azimuth or ground range determines the square pixel size, and the smaller resolution value is adjusted to this size and the corresponding reduction of the bandwidth is used for speckle reduction. • Radiometrically Enhanced products (RE): designed with the target of maximize the radiometry, so the range and azimuth resolutions are intentionally decreased to significantly reduce speckle by averaging several looks. The following geometric projections are offered: • Single Look Slant Range Complex (SSC): single look product of the focused radar signal: the pixels are spaced equidistant in azimuth and in slant range. No geocoding is available, no radiometric artifacts included. Product delivered in the DLR-defined binary COSAR format. The SSC product is intended for applications that require the full bandwidth and phase information, e.g. for SAR interferometry and polarimetry. • Multi Look Ground Range Detected (MGD): detected multi look product in GeoTiff format with reduced speckle and approximately square resolution cells on ground. The image coordinates are oriented along flight direction and along ground range; the pixel spacing is equidistant in azimuth and in ground range. A simple polynomial slant to ground projection is performed in range using a WGS84 ellipsoid and an average, constant terrain height parameter. No image rotation to a map coordinate system is performed and interpolation artifacts are thus avoided. • Geocoded Ellipsoid Corrected (GEC): multi look detected product in GeoTiff format. It is projected and re-sampled to the WGS84 reference ellipsoid assuming one average terrain height. No terrain correction performed. UTM is the standard projection, for polar regions UPS is applied. • Enhanced Ellipsoid Corrected (EEC): multi look detected product in GeoTiff format. It is projected and re-sampled to the WGS84 reference ellipsoid. The image distortions caused by varying terrain height are corrected using an external DEM; therefore the pixel localization in these products is highly accurate. UTM is the standard projection, for polar regions UPS is applied. StripMap Single Mode ID: SM-S Polarizations: HH, VV, HV, VH Scene size (Range x Azimuth) [km]: 30 x 50 Range Resolution [m]: - MGD, GEC, EEC (SE)[Ground range] 2.99 - 3.52 at (45° - 20°) - MGD, GEC, EEC (RE)[Ground range] 6.53 - 7.65 at (45° - 20°) - SSC[Slant range] 1.1 (150 MHz bandwidth) 1.7 (100 MHz bandwidth) Azimuth Resolution [m]: - MGD, GEC, EEC (SE) 3.05 - MGD, GEC, EEC (RE) 6.53 - 7.60 at (45° - 20°) - SSC 3.01 StripMap Dual Mode ID: SM-D Polarizations: HH/VV, HH/HV, VV/VH Scene size (Range x Azimuth) [km]: 15 x 50 Range Resolution [m]: - MGD, GEC, EEC (SE)[Ground range] 6 - MGD, GEC, EEC (RE)[Ground range] 7.51 - 10.43 at (45° - 20°) - SSC[Slant range] 1.18 Azimuth Resolution [m]: - MGD, GEC, EEC (SE) 6.11 - MGD, GEC, EEC (RE) 7.52 - 10.4 at (45° - 20°) - SSC ScanSAR Mode ID: SC Polarizations: HH, VV, HV, VH Scene size (Range x Azimuth) [km]: 100 x 150 Range Resolution [m]: - MGD, GEC, EEC (SE)[Ground range] N/A - MGD, GEC, EEC (RE)[Ground range] 16.79 - 18.19 at (45° - 20°) - SSC[Slant range] 1.17 - 3.4 (depending on range bandwidth) Azimuth Resolution [m]: - MGD, GEC, EEC (SE) N/A - MGD, GEC, EEC (RE) 17.66 - 18.18 at (45° - 20°) - SSC 18.5 Wide ScanSAR Mode ID: WS Polarizations: HH, VV, HV, VH Scene size (Range x Azimuth) [km]: [273-196] x 208 Range Resolution [m]: - MGD, GEC, EEC (SE)[Ground range] N/A - MGD, GEC, EEC (RE)[Ground range] 35 - SSC[Slant range] 1.75 - 3.18 (depending on range bandwidth) Azimuth Resolution [m]: - MGD, GEC, EEC (SE) N/A - MGD, GEC, EEC (RE) 39 - SSC 38.27 Spotlight Single Mode ID: SL-S Polarizations: HH, VV, HV, VH Scene size (Range x Azimuth) [km]: 10 x 10 Range Resolution [m]: - MGD, GEC, EEC (SE)[Ground range] 1.55 - 3.43 at (55° - 20°) - MGD, GEC, EEC (RE)[Ground range] 3.51 - 5.43 at (55° - 20°) - SSC[Slant range] 1.18 Azimuth Resolution [m]: - MGD, GEC, EEC (SE) 1.56 - 2.9 at (55° - 20°) - MGD, GEC, EEC (RE) 3.51 - 5.4 at (55° - 20°) - SSC 1.46 Spotlight Dual Mode ID: SL-D Polarizations: HH/VV, HH/HV, VV/VH Scene size (Range x Azimuth) [km]: 10 x 10 Range Resolution [m]: - MGD, GEC, EEC (SE)[Ground range] 3.09 - 3.5 at (55° - 20°) - MGD, GEC, EEC (RE)[Ground range] 4.98 - 7.63 at (55° - 20°) - SSC[Slant range] 1.17 Azimuth Resolution [m]: - MGD, GEC, EEC (SE) 3.53 - MGD, GEC, EEC (RE) 4.99 - 7.64 at (55° - 20°) - SSC 3.1 HR Spotlight Single Mode ID: HS-S Polarizations: HH, VV, HV, VH Scene size (Range x Azimuth) [km]: 10-6 x 5 (depending on incident angle) Range Resolution [m]: - MGD, GEC, EEC (SE)[Ground range] 1 - 1.76 at (55° - 20°) - MGD, GEC, EEC (RE)[Ground range] 2.83 - 3.11 at (55° - 20°) - SSC[Slant range] 0.6 Azimuth Resolution [m]: - MGD, GEC, EEC (SE) 1 - 1.49 at (55 °- 20°) - MGD, GEC, EEC (RE) 2.83 - 3.13 at (55° - 20°) - SSC 1.05 HR Spotlight Dual Mode ID: HS-D Polarizations: HH/VV, HH/HV, VV/VH Scene size (Range x Azimuth) [km]: 10 x 5 Range Resolution [m]: - MGD, GEC, EEC (SE)[Ground range] 2 - 3.5 at (55° - 20°) - MGD, GEC, EEC (RE)[Ground range] 4 - 6.2 at (55° - 20°) - SSC[Slant range] 1.17 Azimuth Resolution [m]: - MGD, GEC, EEC (SE) 2.38 - 2.93 at (55° - 20°) - MGD, GEC, EEC (RE) 4 - 6.25 at (55° - 20°) - SSC 2.16 Staring Spotlight Mode ID: ST Polarizations: HH, VV, HV, VH Scene size (Range x Azimuth) [km]: [9-4.6] x [2.7-3.6] Range Resolution [m]: - MGD, GEC, EEC (SE)[Ground range] 0.96 - 1.78 at (45°- 20°) - MGD, GEC, EEC (RE)[Ground range] 0.97 - 1.78 at (45°-20°) - SSC[Slant range] 0.59 Azimuth Resolution [m]: - MGD, GEC, EEC (SE) 0.38 - 0.7 at (45°-20°) - MGD, GEC, EEC (RE) 0.97 - 1.42 at (45°-20°) - SSC 0.22 All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. For archive data, the user is invited to search PAZ products by using the USP (User Service Provider) web portal (http://www.geos.hisdesat.es/) (self registration required) in order to verify the availability over the Area of Interest in the Time of Interest. proprietary
PC06_ECMWF_LBA_1141_1 LBA-HMET PC-06 ECMWF Modeled Precipitation and Surface Flux, Rondonia, Brazil: 1999 ORNL_CLOUD STAC Catalog 1999-01-01 1999-03-31 -62.37, -10.85, -61.87, -10.75 https://cmr.earthdata.nasa.gov/search/concepts/C2768943309-ORNL_CLOUD.umm_json This data set provides the mean diurnal cycle of precipitation, near-surface thermodynamics, and surface fluxes generated from short-term forecasts from the European Centre for Medium-Range Weather Forecasts (ECMWF) model.The model outputs were 12- to 36-hour short-range forecasts, run at a triangular truncation of T319 and a vertical resolution of 60 levels, from each daily 1200 (UTC) analysis. The version of the forecast model used to prepare this data product was the operational ECMWF model in fall 2000, which included the tiled land-surface scheme (TESSEL) (Van den Hurk et al., 2000) and recent revisions to the convection, radiation, and cloud schemes described by Gregory et al., (2000). The ECMWF model was run for two Large-Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) campaigns conducted in Rondonia, Brazil, during January and February of 1999: the Wet Season Atmospheric Mesoscale Campaign (WETAMC) and the Tropical Rainfall Measuring Mission (TRMM). See Silva Dias et al.,(2002) for additional information regarding the WETAMAC and TRMM campaigns. There are two comma-delimited data files with this data set: the ECMWF model output data and a file containing the mean hourly precipitation observations used to check the model output for biases. proprietary
PCD_INPE_web Meteorological Data Collection Platform Network from Brazilian Institute for Space Research CEOS_EXTRA STAC Catalog 1996-01-01 -75.64, -35.81, -32.74, 7.12 https://cmr.earthdata.nasa.gov/search/concepts/C2227456061-CEOS_EXTRA.umm_json Web access to data of a network of Meteorological Automatic Stations covering the Brazilian area proprietary
PEACETIME_0 ProcEss studies at the Air-sEa Interface after dust deposition in the MEditerranean sea project (PEACETIME) OB_DAAC STAC Catalog 2017-05-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360590-OB_DAAC.umm_json Measurements from the PEACETIME (ProcEss studies at the Air-sEa Interface after dust deposition in the MEditerranean sea) project in the Mediterranean Sea to characterize biogeochemical processes in the atmosphere, at the air-sea boundary layer, and in the water. proprietary
@@ -12034,8 +12043,8 @@ PRIM_SMAP_L2_V1_1.0 Parametrized Rain Impact Model for SMAP L2 V1.0 POCLOUD STAC
PRISM_CORAL_L1_1.0 Portable Remote Imaging Spectrometer (PRISM) COral Reef Airborne Laboratory (CORAL) Regional Reflectance Data OB_DAAC STAC Catalog 2016-06-20 2017-05-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1653653748-OB_DAAC.umm_json Flight line reflectance measurements from the Portable Remote Imaging Spectrometer (PRISM) instrument aboard the Tempus Applied Solutions Gulfstream-IV (G-IV) aircraft, taken as part of the NASA COral Reef Airborne Laboratory (CORAL) Earth Venture Suborbital-2 (EVS-2) mission designed to provide an extensive, uniform picture of coral reef composition. The CORAL mission surveyed parts of the reefs surrounding the Mariana Islands, Palau, portions of the Great Barrier Reef, the main Hawaiian Islands, and the Florida Keys. proprietary
PRISM_CORAL_L2_1.0 Portable Remote Imaging Spectrometer (PRISM) COral Reef Airborne Laboratory (CORAL) Regional Benthic Cover Data OB_DAAC STAC Catalog 2016-06-20 2017-05-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1653653611-OB_DAAC.umm_json Flight line benthic cover measurements from the Portable Remote Imaging Spectrometer (PRISM) instrument aboard the Tempus Applied Solutions Gulfstream-IV (G-IV) aircraft, taken as part of the NASA COral Reef Airborne Laboratory (CORAL) Earth Venture Suborbital-2 (EVS-2) mission designed to provide an extensive, uniform picture of coral reef composition. The CORAL mission surveyed parts of the reefs surrounding the Mariana Islands, Palau, portions of the Great Barrier Reef, the main Hawaiian Islands, and the Florida Keys. proprietary
PRISM_Elkhorn_Slough_0 Portable Remote Imaging SpectroMeter (PRISM) from Elkhorn Slough to Monterey Bay, California OB_DAAC STAC Catalog 2012-07-21 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360622-OB_DAAC.umm_json The estuarine waters of Elkhorn Slough terminating in Monterey Bay, California present an excellent study site for testing the limits of hyperspectral imaging spectroscopy in a region with turbid sediment-laden waters and diverse coastal habitats including eelgrass and salt marsh. In July 2012, we undertook a field validation in this region of the Portable Remote Imaging SpectroMeter (PRISM), a new imaging sensor package optimized for coastal ocean processes. PRISM provides spatial resolutions up to 30 cm and spectral resolutions of 3 nm. In-situ sampling was conducted concurrent to the PRISM flights to measure inherent optical properties of the water column and sample selected benthic and coastal habitat spectral targets. proprietary
-PROBA.CHRIS.1A_NA Proba CHRIS Level 1A ESA STAC Catalog 2002-05-14 -180, -56, 180, 75 https://cmr.earthdata.nasa.gov/search/concepts/C1214560171-ESA.umm_json CHRIS acquires a set of up to five images of each target during each acquisition sequence, these images are acquired when Proba-1 is pointing at distinct angles with respect to the target. CHRIS Level 1A products (supplied in HDF data files, version 4.1r3) include five formal CHRIS imaging modes, classified as modes 1 to 5: • MODE 1: Full swath width, 62 spectral bands, 773nm / 1036nm, nadir ground sampling distance 34m @ 556km • MODE 2 WATER BANDS: Full swath width, 18 spectral bands, nadir ground sampling distance 17m @ 556km • MODE 3 LAND CHANNELS: Full swath width, 18 spectral bands, nadir ground sampling distance 17m @ 556km • MODE 4 CHLOROPHYL BAND SET: Full swath width, 18 spectral bands, nadir ground sampling distance 17m @ 556km • MODE 5 LAND CHANNELS: Half swath width, 37 spectral bands, nadir ground sampling distance 17m @ 556km All Proba-1 passes are systematically acquired according to the current acquisition plan, CHRIS data are processed every day to Level 1A and made available to ESA users. Observation over a new specific area can be performed by submitting the request to add a new site to the acquisition plan. Valuable indication whether the acquisition was successfully, cloudy, failed or programmed is reported in the _$$Proba-CHRIS Actual Acquisitions$$ http://www.rsacl.co.uk/chris/excel/active/ proprietary
-PROBA.HRC.1A_NA Proba HRC ESA STAC Catalog 2002-10-10 -180, -56, 180, 75 https://cmr.earthdata.nasa.gov/search/concepts/C1214560203-ESA.umm_json The HRC Level 1A product is an image images with a pixel resolution of 8m. The data are grey scale images, an image contains 1026 x 1026 pixels and covers an area of 25 km2. HRC data is supplied in BMP format. All Proba-1 passes are systematically acquired according to the current acquisition plan, HRC data are processed every day to Level 1A and made available to ESA users. proprietary
+PROBA.CHRIS.1A_7.0 Proba CHRIS Level 1A ESA STAC Catalog 2002-05-14 2022-12-22 -180, -56, 180, 75 https://cmr.earthdata.nasa.gov/search/concepts/C1214560171-ESA.umm_json CHRIS acquires a set of up to five images of each target during each acquisition sequence, these images are acquired when Proba-1 is pointing at distinct angles with respect to the target. CHRIS Level 1A products (supplied in HDF data files, version 4.1r3) include five formal CHRIS imaging modes, classified as modes 1 to 5: • MODE 1: Full swath width, 62 spectral bands, 773nm / 1036nm, nadir ground sampling distance 34m @ 556km • MODE 2 WATER BANDS: Full swath width, 18 spectral bands, nadir ground sampling distance 17m @ 556km • MODE 3 LAND CHANNELS: Full swath width, 18 spectral bands, nadir ground sampling distance 17m @ 556km • MODE 4 CHLOROPHYL BAND SET: Full swath width, 18 spectral bands, nadir ground sampling distance 17m @ 556km • MODE 5 LAND CHANNELS: Half swath width, 37 spectral bands, nadir ground sampling distance 17m @ 556km All Proba-1 passes are systematically acquired according to the current acquisition plan, CHRIS data are processed every day to Level 1A and made available to ESA users. Observation over a new specific area can be performed by submitting the request to add a new site to the acquisition plan. Valuable indication whether the acquisition was successfully, cloudy, failed or programmed is reported in the _$$Proba-CHRIS Actual Acquisitions$$ http://www.rsacl.co.uk/chris/excel/active/ proprietary
+PROBA.HRC.1A_6.0 Proba HRC ESA STAC Catalog 2002-10-10 -180, -56, 180, 75 https://cmr.earthdata.nasa.gov/search/concepts/C1214560203-ESA.umm_json The HRC Level 1A product is an image images with a pixel resolution of 8m. The data are grey scale images, an image contains 1026 x 1026 pixels and covers an area of 25 km2. HRC data is supplied in BMP format. All Proba-1 passes are systematically acquired according to the current acquisition plan, HRC data are processed every day to Level 1A and made available to ESA users. proprietary
PRONEX_0 Programa de Apoio a Nucleos de Excelencia (PRONEX) OB_DAAC STAC Catalog 2005-08-26 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360625-OB_DAAC.umm_json Measurements made off the coast of southern Brazil from 2005 to 2007 under PRONEX. proprietary
PSD1-Nottingham_1 Genetic variation in the lichens Buellia frigida and Xanthoria elegans from the Vestfold Hills, eastern Antarctica AU_AADC STAC Catalog 1999-11-01 1999-12-16 62.21558, -68.78017, 78.69507, -67.41671 https://cmr.earthdata.nasa.gov/search/concepts/C1214313708-AU_AADC.umm_json Antarctica is a desert continent dominated by micro-organisms. The seals and penguins, which are conspicuous around its margins, depend upon the sea for their food resources and are effectively part of the marine food chain. Life depends upon the availability of free water. In Antarctica water is usually locked up in ice, only in summer is there free water in the terrestrial environment. Not only is water limited, but low temperatures and low levels of nutrients severely limit the scope for growth among the micro-organisms that have managed to colonise the continent. Propagules are brought to the continent in a number of ways. Some arrive in the air masses that flow around the Earth. Once deposited some simply cannot survive the extreme conditions, while others may become established. Other species of micro-organism may be introduced by Man around the scientific stations on the continent. During the ice-ages which have occurred repeatedly through geological history, micro-organisms may have survived in refugia offered by nunataks or in the ice, and have recolonised more widely following ice retreat. This project will concentrate on one group of micro-organisms, the fungi. We will use special air samplers to determine which species are brought to the continent in the winds and we will compare the propagules from these samplers with the species living in the 'soil' and samples grown up from ice samples, where the resting spores can remain dormant of hundreds of years. We will analyse the communities of fungi that are found in the proximity of scientific stations and compare them with 'natural' communities in Antarctica, to determine what impact Man has had on introducing fungal species. The data generated will provide us with an insight into the colonisation of Antarctica by fungi. As global warming continues, species hitherto unable to establish may be able to do so. It is important to have a baseline on what is currently living on the continent, so that we can monitor the establishment of new species in the future. Thalli of the lichens Buellia frigida and Xanthoria elegans were collected from five different locations each 5-15 km apart in the Vestfold Hills, Princess Elizabeth Land, eastern Antarctica. A further collection was made from Mawson Station, Mac Robertson Land, eastern Antarctica 660 km away. DNA was extracted from whole thalli and the ribosomal ITS region amplified by PCR using fungal specific primers. Resulting products were sequenced to gain an indication of whether or not variation was present within populations of lichen-forming fungi from continental Antarctica, and therefore of the availability of genetic resources to react to pressures such as climate change. Three genotypes of B. frigida and two of X. elegans were detected in the Vestfold Hill collections. However, these differed by only one nucleotide position suggesting the presence of relatively little genetic variation if the ITS region is indicative of the overall genome. B. frigida collected from Mawson Station had an identical ITS region sequence to the most common Vestfold Hills genotype, indicating that this species may have a low level of genetic variation across much of eastern Antarctica. In contrast, X. elegans collected from Mawson showed considerable genetic variation from the Vestfolds thalli, differing at 14.2 % of nucleotide positions and had an identical ITS region sequence to an isolate from maritime Antarctica 4960 km away. Samples from the Vestfold Hills formed a distinct cluster in a phylogenetic analysis of ITS sequences from a worldwide collection of X. elegans isolates. The collection sites used in this study were: Lichen Valley, Vestfold Hills Stalker Hill, Vestfold Hills Ellis Rapids, Vestfold Hills Trajer Ridge, Vestfold Hills Boulder Hill, Vestfold Hills Mawson Station. The DNA sequences arising from the lichens can be accessed from Genbanks Entrez Nucleotide Sequence Search, the accession numbers are: AF276066-AF276070 AF281306-AF281307 AF278753-AF278757 This work was carried out as part of ASAC project 1201 (ASAC_1201). proprietary
PSScene3Band_1 PlanetScope Satellite Imagery 3 Band Scene CSDA STAC Catalog 2014-06-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2112982481-CSDA.umm_json The Planet Scope 3 band collection contains satellite imagery obtained from Planet Labs, Inc by the Commercial SmallSat Data Acquisition (CSDA) Program. This satellite imagery is in the visible waveband range with data in the red, green, and blue wavelengths. These data are collected by Planets Dove, Super Dove, and Blue Super Dove instruments collected from across the global land surface from June 2014 to present. Data have a spatial resolution of 3.7 meters at nadir and provided in GeoTIFF format. Data access are restricted to US Government funded investigators approved by the CSDA Program. proprietary
@@ -12062,12 +12071,12 @@ Phenology_AmeriFlux_Neon_Sites_2033_1 Land Surface Phenology, Eddy Covariance To
Phenology_Deciduous_Forest_1570_1 Landsat-derived Spring and Autumn Phenology, Eastern US - Canadian Forests, 1984-2013 ORNL_CLOUD STAC Catalog 1984-01-01 2013-12-31 -124.42, 29.63, -60.4, 62.04 https://cmr.earthdata.nasa.gov/search/concepts/C2764880255-ORNL_CLOUD.umm_json This dataset provides Landsat phenology algorithm (LPA) derived start and end of growing seasons (SOS and EOS) at 500-m resolution for deciduous and mixed forest areas of 75 selected Landsat sidelap regions across the Eastern United States and Canada. The data are a 30-year time series (1984-2013) of derived spring and autumn phenology for forested areas of the Eastern Temperate Forest, Northern Forest, and Taiga ecoregions. proprietary
Photos_ThermokarstLakes_AK_1845_1 ABoVE: Aerial Photographs of Frozen Lakes near Fairbanks, Alaska, October 2014 ORNL_CLOUD STAC Catalog 2014-10-08 2014-10-08 -147.95, 64.86, -147.76, 64.94 https://cmr.earthdata.nasa.gov/search/concepts/C2143401765-ORNL_CLOUD.umm_json This dataset includes high resolution orthophotographs of 21 lakes in the region of Fairbanks, Alaska, USA. Aerial photographs were taken on October 8, 2014, three days after lake-ice formation. These photographs were used to identify open holes in lake ice that indicate the location of hotspot seeps associated with the releases of methane from thawing permafrost. Aerial photography can be used to measure changes in lake areas and to observe patterns in the formation of lake ice and other early winter lake conditions. proprietary
Pingo_Veg_Plots_1507_1 Arctic Vegetation Plots from Pingo Communities, North Slope, Alaska, 1984-1986 ORNL_CLOUD STAC Catalog 1983-01-01 1983-12-31 -149.95, 69.71, -147.66, 70.5 https://cmr.earthdata.nasa.gov/search/concepts/C2170970856-ORNL_CLOUD.umm_json This data set provides vegetation species and vegetation plot data collected between 1983 and 1985 from 293 study plots on 41 pingos on the North Slope of Alaska. The pingos were located within the Arctic Coastal Plain in the Kuparuk, Prudhoe Bay, Kadleroshilik, and Toolik River areas. Specific attributes include dominant vegetation species, cover, soil pH, moisture, and physical characteristics of the plots. proprietary
-PlanetScope.Full.Archive_NA PlanetScope Full Archive ESA STAC Catalog 2016-06-22 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336933-ESA.umm_json "The PlanetScope Level 1B Basic Scene and Level 3B Ortho Scene full archive products are available as part of Planet imagery offer. The Unrectified Asset: PlanetScope Basic Analytic Radiance (TOAR) product is a Scaled Top of Atmosphere Radiance (at sensor) and sensor corrected product, without correction for any geometric distortions inherent in the imaging processes and is not mapped to a cartographic projection. The imagery data is accompanied by Rational Polynomial Coefficients (RPCs) to enable orthorectification by the user. This kind of product is designed for users with advanced image processing and geometric correction capabilities. Basic Scene Product Components and Format Product Components: - Image File (GeoTIFF format) - Metadata File (XML format) - Rational Polynomial Coefficients (XML format) - Thumbnail File (GeoTIFF format) - Unusable Data Mask UDM File (GeoTIFF format) - Usable Data Mask UDM2 File (GeoTIFF format) Bands: 4-band multispectral image (blue, green, red, near-infrared) or 8-band (coastal-blue, blue, green I, green, yellow, red, Rededge, near-infrared) Ground Sampling Distance: - Approximate, satellite altitude dependent - Dove-C: 3.0 m-4.1 m - Dove-R: 3.0 m-4.1 m - SuperDove: 3.7 m-4.2 m Accuracy: <10 m RMSE The Rectified assets: The PlanetScope Ortho Scene product is radiometrically-, sensor- and geometrically- corrected and is projected to a UTM/WGS84 cartographic map projection. The geometric correction uses fine Digital Elevation Models (DEMs) with a post spacing of between 30 and 90 metres. Ortho Scene Product Components and Format Product Components: - Image File (GeoTIFF format) - Metadata File (XML format) - Thumbnail File (GeoTIFF format) - Unusable Data Mask UDM File (GeoTIFF format) - Usable Data Mask UDM2 File (GeoTIFF format) Bands: 3-band natural color (red, green, blue) or 4-band multispectral image (blue, green, red, near-infrared) or 8-band (costal-blue, blue, green I, green, yellow, red, RedEdge, near-infrared) Ground Sampling Distance: - Approximate, satellite altitude dependent - Dove-C: 3.0 m-4.1 m - Dove-R: 3.0 m-4.1 m - SuperDove: 3.7 m-4.2 m Projection: UTM WGS84 Accuracy: <10 m RMSE PlanetScope Ortho Scene product is available in the following: PlanetScope Visual Ortho Scene product is orthorectified and color-corrected (using a colour curve) 3-band RGB Imagery. This correction attempts to optimise colours as seen by the human eye providing images as they would look if viewed from the perspective of the satellite PlanetScope Surface Reflectance product is orthorectified, 4-band BGRN or 8-band Coastal Blue, Blue, Green I, Green, Yellow, Red, RedEdge, NIR Imagery with geometric, radiometric and corrected for surface reflection. This data is optimal for value-added image processing such as land cover classifications. PlanetScope Analytic Ortho Scene Surface Reflectance product is orthorectified, 4-band BGRN or 8-band Coastal Blue, Blue, Green I, Green, Yellow, Red, RedEdge, NIR Imagery with geometric, radiometric and calibrated to top of atmosphere radiance. _$$Planet Explorer Catalogue$$ https://www.planet.com/explorer/ can be accessed (Planet registration requested) to discover and check the data readiness. It is worth to mention that the data distribution is based on Data Voucher, corresponding to maximum amount of square kilometers can be ordered and downloaded by the project in a maximum period of 15 moths (this duration cannot be extended) starting from the project proposal acceptance date. Each Date Voucher includes PlanetScope tile view streaming access for a total of 20,000 tiles per calendar month during the project period. All details about the data provision, data access conditions and quota assignment procedure are described in the _$$Terms of Applicability$$ https://earth.esa.int/eogateway/documents/20142/37627/Access-to-ESAs-Planet-Missions-Terms-of-Applicability.pdf available in Resources section." proprietary
-PlanetScopeESAarchive_NA PlanetScope ESA archive ESA STAC Catalog 2018-11-15 2018-11-21 -180, -84, 180, 84 https://cmr.earthdata.nasa.gov/search/concepts/C2547572362-ESA.umm_json The PlanetScope ESA archive collection consists of PlanetScope products requested by ESA supported projects over their areas of interest around the world and that ESA collected over the years. The dataset regularly grows as ESA collects new PlanetScope products. Three product lines for PlanetScope imagery are offered, for all of them the Ground Sampling Distance at nadir is 3.7 m (at reference altitude 475 km) The Basic Scene product is a single-frame scaled Top of Atmosphere Radiance (at sensor) and sensor-corrected product. The product is not orthorectified or corrected for terrain distortions, radiometric and sensor corrections are applied to the data The Ortho Scenes is a single-frame scaled Top of Atmosphere Radiance (at sensor) or Surface Reflectance image product. The product is radiometrically, sensor and geometrically corrected and is projected to a cartographic map (UTM/WGS84) The Ortho Tiles are multiple orthorectified scenes in a single strip that have been merged and then divided according to a defined grid. Radiometric and sensor corrections are applied, the imagery is orthorectified and projected to a UTM projection. proprietary
+PlanetScope.Full.Archive_7.0 PlanetScope Full Archive ESA STAC Catalog 2016-06-22 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336933-ESA.umm_json "The PlanetScope Level 1B Basic Scene and Level 3B Ortho Scene full archive products are available as part of Planet imagery offer. The Unrectified Asset: PlanetScope Basic Analytic Radiance (TOAR) product is a Scaled Top of Atmosphere Radiance (at sensor) and sensor corrected product, without correction for any geometric distortions inherent in the imaging processes and is not mapped to a cartographic projection. The imagery data is accompanied by Rational Polynomial Coefficients (RPCs) to enable orthorectification by the user. This kind of product is designed for users with advanced image processing and geometric correction capabilities. Basic Scene Product Components and Format Product Components Image File (GeoTIFF format) Metadata File (XML format) Rational Polynomial Coefficients (XML format) Thumbnail File (GeoTIFF format) Unusable Data Mask UDM File (GeoTIFF format) Usable Data Mask UDM2 File (GeoTIFF format) Bands 4-band multispectral image (blue, green, red, near-infrared) or 8-band (coastal-blue, blue, green I, green, yellow, red, Rededge, near-infrared) Ground Sampling Distance Approximate, satellite altitude dependent Dove-C: 3.0 m-4.1 m Dove-R: 3.0 m-4.1 m SuperDove: 3.7 m-4.2 m Accuracy <10 m RMSE The Rectified assets: The PlanetScope Ortho Scene product is radiometrically-, sensor- and geometrically- corrected and is projected to a UTM/WGS84 cartographic map projection. The geometric correction uses fine Digital Elevation Models (DEMs) with a post spacing of between 30 and 90 metres. Ortho Scene Product Components and Format Product Components Image File (GeoTIFF format) Metadata File (XML format) Thumbnail File (GeoTIFF format) Unusable Data Mask UDM File (GeoTIFF format) Usable Data Mask UDM2 File (GeoTIFF format) Bands 3-band natural colour (red, green, blue) or 4-band multispectral image (blue, green, red, near-infrared) or 8-band (coastal-blue, blue, green I, green, yellow, red, RedEdge, near-infrared) Ground Sampling Distance Approximate, satellite altitude dependent Dove-C: 3.0 m-4.1 m Dove-R: 3.0 m-4.1 m SuperDove: 3.7 m-4.2 m Projection UTM WGS84 Accuracy <10 m RMSE PlanetScope Ortho Scene product is available in the following: PlanetScope Visual Ortho Scene product is orthorectified and colour-corrected (using a colour curve) 3-band RGB Imagery. This correction attempts to optimise colours as seen by the human eye providing images as they would look if viewed from the perspective of the satellite. PlanetScope Surface Reflectance product is orthorectified, 4-band BGRN or 8-band Coastal Blue, Blue, Green I, Green, Yellow, Red, RedEdge, NIR Imagery with geometric, radiometric and corrected for surface reflection. This data is optimal for value-added image processing such as land cover classifications. PlanetScope Analytic Ortho Scene Surface Reflectance product is orthorectified, 4-band BGRN or 8-band Coastal Blue, Blue, Green I, Green, Yellow, Red, RedEdge, NIR Imagery with geometric, radiometric and calibrated to top of atmosphere radiance. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided." proprietary
+PlanetScopeESAarchive_8.0 PlanetScope ESA archive ESA STAC Catalog 2018-11-15 2018-11-21 -180, -84, 180, 84 https://cmr.earthdata.nasa.gov/search/concepts/C2547572362-ESA.umm_json "The PlanetScope ESA archive collection consists of PlanetScope products requested by ESA supported projects over their areas of interest around the world and that ESA collected over the years. The dataset regularly grows as ESA collects new products. Three product lines for PlanetScope imagery are offered, for all of them the Ground Sampling Distance at nadir is 3.7 m (at reference altitude 475 km). EO-SIP Product Type Product description Processing Level PSC_DEF_S3 3 bands – Analytic and Visual - Basic and Ortho Scene level 1B and 3B PSC_DEF_S4 4 bands – Analytic and Visual - Basic and Ortho Scene level 1B and 3B PSC_DEF_OT 3 bands, 4 bands and 5 bands – Analytic and Visual - Ortho Tile level 3A The Basic Scene product is a single-frame scaled Top of Atmosphere Radiance (at sensor) and sensor-corrected product. The product is not orthorectified or corrected for terrain distortions, radiometric and sensor corrections are applied to the data. The Ortho Scenes product is a single-frame scaled Top of Atmosphere Radiance (at sensor) or Surface Reflectance image product. The product is radiometrically, sensor and geometrically corrected and is projected to a cartographic map (UTM/WGS84). The Ortho Tiles are multiple orthorectified scenes in a single strip that have been merged and then divided according to a defined grid. Radiometric and sensor corrections are applied, the imagery is orthorectified and projected to a UTM projection. Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/socat/PlanetScope available on the Third Party Missions Dissemination Service. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided." proprietary
PlantVillage Crop Type Kenya_1 PlantVillage Crop Type Kenya MLHUB STAC Catalog 2020-01-01 2023-01-01 34.1819199, 0.4724182, 34.3714943, 0.7144217 https://cmr.earthdata.nasa.gov/search/concepts/C2781412418-MLHUB.umm_json This dataset contains field boundaries and crop type information for fields in Kenya. PlantVillage app is used to collect multiple points around each field and collectors have access to basemap imagery in the app during data collection. They use the basemap as a guide in collecting and verifying the points.
Post ground data collection, Radiant Earth Foundation conducted a quality control of the polygons using Sentinel-2 imagery of the growing season as well as Google basemap imagery. Two actions were taken on the data 1)several polygons that had overlapping areas with different crop labels were removed, 2) invalid polygons where multiple points were collected in corners of the field (within a distance of less than 0.5m) and the overall shape was not convex, were corrected. Finally, ground reference polygons were matched with corresponding time series data from Sentinel-2 satellites (listed in the source imagery property of each label item). proprietary
-Pleiades.ESA.archive_NA Pleiades ESA archive ESA STAC Catalog 2011-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689539-ESA.umm_json The Pleiades ESA archive is a dataset of Pleiades-1A and 1B products that ESA collected over the years. The dataset regularly grows as ESA collects new Pleiades products. Pleiades Primary, Projected and Ortho products are available in the following modes: • Panchromatic image at 0.5m resolution • Pansharpened colour image at 0.5m resolution • Multispectral image in 4 spectral bands at 2m resolution • Bundle (0.5m panchromatic image + 2m multispectral image) proprietary
-Pleiades.HiRI.archive.and.new_NA Pleiades full archive and tasking ESA STAC Catalog 2012-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689616-ESA.umm_json The Pleiades twins (1A and 1B) deliver very high-resolution optical data (up to 0.5m resolution Pancromatic and Colour and 2 m Multispectral) and offer a daily revisit capability to any point on the globe. The swath width is of about 20 km (footprint at nadir). The ortho-products are automatically generated by the Pleiades ground segment, based on SRTM or Reference3D database. The projection available for Pleiades ortho-products is UTM, datum WGS84. Bands Combinations: • Pansharpened colour image at 0.5 m resolution • Bundle (0.5m panchromatic image + 2 m multispectral image) Processing levels: • Primary: The Primary product is the processing level closest to the natural image acquired by the sensor. This product restores perfect collection conditions: the sensor is placed in rectilinear geometry, and the image is clear of all radiometric distortion. • Standard Ortho: The Ortho product is a georeferenced image in Earth geometry, corrected from acquisition and terrain off-nadir effects. • Tailored Ortho: Aside from the Standard Ortho product, when different specifications are needed, a custom orthorectification, with a more precise 3D model provided by the client or acquired for the purpose, can be provided on demand. The products are available as part of the Airbus provision from Pleiades and Spot missions. Pleiades collection has worldwide coverage: the _$$GeoStore Catalogue$$ https://www.intelligence-airbusds.com/en/4871-ordering can be accessed (self registration requested) to discover and check the data readiness. To complement the traditional and fully customised ordering and download of selected Pléiades and SPOT images in a variety of data formats, the user can also request a subscription for the access to _$$OneAtlas Living Library$$ https://oneatlas.airbus.com where the entire OneAtlas optical archive is made available in streaming mode and updated on daily basis. Search (based on parameter or AOI) and View functionalities are accessible via the _$$OneAtlas Living Library$$ https://oneatlas.airbus.com portal or via _$$API$$ https://api.oneatlas.airbus.com Three different subscription packages will be at the availability of users: a limitation to 80,000 tiles (corresponding to 1.000km2), a limitation to 160.000 tiles (2.000 km2), and an all-you-can-eat (unlimited) access. The subscriptions will be open for consumption for one entire year. All details about the data provision, data access conditions and quota assignment procedure are described into the _$$Terms of Applicability$$ https://earth.esa.int/eogateway/documents/20142/37627/SPOT-Pleiades-data-terms-of-applicability.pdf available in Resources section. proprietary
-Pleiades.Neo.full.archive.and.tasking_NA Pléiades Neo full archive and tasking ESA STAC Catalog 2021-04-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2547572735-ESA.umm_json Very High Resolution optical Pléiades Neo data at 30 cm PAN resolution (1.2 m 6- bands Multispectral) are available as part of the Airbus provision with twice daily revisit capability over the entire globe. The swath width is 14 km (footprint at nadir). Band combinations: · Pansharpened: colour image at 0.3 m resolution: Natural colour (3 bands RGB), false colour (3 bands NIRRG), 4 bands (RGB+NIR), 6 bands · Bundle: 0.3 m panchromatic image and 1.2 m multispectral image (4 or 6 bands) simultaneously acquired Geometric processing levels: •Primary: The Primary product is the processing level closest to the natural image acquired by the sensor. This product restores perfect collection conditions: the sensor is placed in rectilinear geometry, and the image is clear of all radiometric distortion. •Projected: The products is mapped onto the Earth cartographic system using a standard reference datum and projection system at a constant terrestrial altitude, relative to the reference ellipsoid. •Ortho: The Ortho product is a georeferenced image in Earth geometry, corrected from acquisition and terrain off-nadir effects. All details about the data provision, data access conditions and quota assignment procedure are described in the _$$Terms of Applicability$$ https://earth.esa.int/eogateway/documents/20142/37627/SPOT-Pleiades-data-terms-of-applicability.pdf available in Resources proprietary
+Pleiades.ESA.archive_9.0 Pleiades ESA archive ESA STAC Catalog 2011-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689539-ESA.umm_json The Pléiades ESA archive is a dataset of Pléiades-1A and 1B products that ESA collected over the years. The dataset regularly grows as ESA collects new Pléiades products. Pléiades Primary and Ortho products can be available in the following modes: • Panchromatic image at 0.5 m resolution • Pansharpened colour image at 0.5 m resolution • Multispectral image in 4 spectral bands at 2 m resolution • Bundle (0.5 m panchromatic image + 2 m multispectral image) Spatial coverage: Check the spatial coverage of the collection on a map available on the Third Party Missions Dissemination Service. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided. proprietary
+Pleiades.HiRI.archive.and.new_9.0 Pleiades full archive and tasking ESA STAC Catalog 2012-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689616-ESA.umm_json "The Pléiades twins (1A and 1B) deliver very high-resolution optical data (up to 0.5 m resolution Panchromatic and Colour and 2 m Multispectral) and offer a daily revisit capability to any point on the globe. The swath width is approximately 20 km (with a nadir footprint). The ortho-products are automatically generated by the Pléiades ground segment, based on SRTM or Reference3D database. The projection available for Pléiades ortho-products is UTM, datum WGS84. Bands combinations:: • Panchromatic: black&white image at 50cm resolution • Pansharpened: 3-bands or 4 bands colour image at 50cm resolution • Multispectral: 4 bands image at 2m resolution • Bundle: 0.5 m panchromatic image + 2 m multispectral image, co-registered Processing levels: • Primary: The Primary product is the processing level closest to the natural image acquired by the sensor. This product restores perfect collection conditions: the sensor is placed in rectilinear geometry, and the image is clear of all radiometric distortion. • Ortho: The Ortho product is a georeferenced image in Earth geometry, corrected from acquisition and terrain off-nadir effects. Available in MONO acquisition mode only. Acquisition modes: • Mono • Stereo • Tristero To complement the traditional and fully customised ordering and download of selected SPOT, Pleiades or Pleiades Neo images in a variety of data formats, you can also subscribe to the OneAtlas Living Library package where the entire OneAtlas optical archive of ortho images is updated on a daily basis and made available for streaming or download. The Living Library consist of • less-than-18-months-old imagery • a curation of SPOT images with no cloud cover and less than 30° incidence angle • Pléiades images acquired worldwide with maximum 15% cloud cover and 30° Incidence Angle • Pléiades Neo premium imagery selection with 2% cloud cover and 30° incidence angle These are the available subscription packages (to be consumed withing one year from the activation) OneAtlas Living Library subscription package 1: up to 230 km2 Pleiades Neo or 430 km2 Pleiades or 1.500 km2 SPOT in download, up to 500 km2 Pleiades Neo or 2.000 km2 Pleiades or 7.500 km2 SPOT in streaming OneAtlas Living Library subscription package 2: up to 654 km2 Pleiades Neo or 1.214 km2 Pleiades or 4.250 km2 SPOT in download, up to 1417 km2 Pleiades Neo or 5.666 km2 Pleiades or 21.250 km2 SPOT in streaming OneAtlas Living Library subscription package 3: up to 1.161 km2 Pleiades Neo or 2.156 km2 Pleiades or 7.545 km2 SPOT in download, up to 2.515 km2 Pleiades Neo or 10.060 km2 Pleiades or 37.723 km2 SPOT in streaming All details about the data provision, data access conditions and quota assignment procedure are described in the _$$Terms of Applicability$$ https://earth.esa.int/eogateway/documents/20142/37627/SPOT-Pleiades-data-terms-of-applicability.pdf available in the Resources section. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided." proprietary
+Pleiades.Neo.full.archive.and.tasking_9.0 Pléiades Neo full archive and tasking ESA STAC Catalog 2021-04-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2547572735-ESA.umm_json "Very High Resolution optical Pléiades Neo data at 30 cm PAN resolution (1.2 m 6-bands Multispectral) are available as part of the Airbus provision with twice daily revisit capability over the entire globe. The swath width is 14 km (footprint at nadir). Band combinations: • Panchromatic one band Black & White image at 0.3 m resolution • Pansharpened colour image at 0.3 m resolution: Natural colour (3 bands RGB), false colour (3 bands NIRRG), 4 bands (RGB+NIR), 6 bands • Multispectral colour image in 4 bands (RGB+NIR) or 6 bands (also Deep blue and Red Edge) at 1.2 m resolution • Bundle 0.3 m panchromatic image and 1.2 m multispectral image (4 or 6 bands) simultaneously acquired Geometric processing levels: • Primary: The Primary product is the processing level closest to the natural image acquired by the sensor. This product restores perfect collection conditions: the sensor is placed in rectilinear geometry, and the image is clear of all radiometric distortion. • Ortho: The Ortho product is a georeferenced image in Earth geometry, corrected from acquisition and terrain off-nadir effects. Acquisition modes: • Mono • Stereo • Tristereo • HD15: 15cm resolution for Panchromatic, 60cm resolution for Multispectral: Mono image resampled by using machine learning model which increase sharpness and fineness of details without introducing any fake data. To complement the traditional and fully customised ordering and download of selected SPOT, Pleiades or Pleiades Neo images in a variety of data formats, you can also subscribe to the OneAtlas Living Library package where the entire OneAtlas optical archive of ortho images is updated on a daily basis and made available for streaming or download. The Living Library consist of: • less-than-18-months-old Pansharpened and Bundle imagery • a curation of SPOT images with no cloud cover and less than 30° incidence angle • Pléiades images acquired worldwide with maximum 15% cloud cover and 30° Incidence Angle • Pléiades Neo premium imagery selection with 2% cloud cover and 30° incidence angle These are the available subscription packages (to be consumed withing one year from the activation) OneAtlas Living Library subscription package 1: up to 230 km2 Pleiades Neo or 430 km2 Pleiades or 1.500 km2 SPOT in download, up to 500 km2 Pleiades Neo or 2.000 km2 Pleiades or 7.500 km2 SPOT in streaming OneAtlas Living Library subscription package 2: up to 654 km2 Pleiades Neo or 1.214 km2 Pleiades or 4.250 km2 SPOT in download, up to 1417 km2 Pleiades Neo or 5.666 km2 Pleiades or 21.250 km2 SPOT in streaming OneAtlas Living Library subscription package 3: up to 1.161 km2 Pleiades Neo or 2.156 km2 Pleiades or 7.545 km2 SPOT in download, up to 2.515 km2 Pleiades Neo or 10.060 km2 Pleiades or 37.723 km2 SPOT in streaming All details about the data provision, data access conditions and quota assignment procedure are described in the _$$Terms of Applicability$$ https://earth.esa.int/eogateway/documents/20142/37627/SPOT-Pleiades-data-terms-of-applicability.pdf available in the Resources section. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided." proprietary
Plot_Data_Noatak_Seward_AK_1919_1 Burned and Unburned Field Site Data, Noatak, Seward, and North Slope, AK, 2016-2018 ORNL_CLOUD STAC Catalog 2016-07-22 2018-08-27 -164.93, 65.02, -148.64, 69.66 https://cmr.earthdata.nasa.gov/search/concepts/C2240727642-ORNL_CLOUD.umm_json This dataset includes field measurements from unburned and burned 10 m x 10 m and 1 m x 1 m plots in the Noatak, Seward, and North Slope regions of the Alaskan tundra during July through August in the years 2016-2018. The data include vegetation coverage, soil moisture, soil temperature, soil thickness, thaw depth, and weather measurements. Measurements were recorded using ocular assessments and standard equipment. Plot photographs are included. proprietary
Plumes_and_Blooms_0 Plumes and Blooms OB_DAAC STAC Catalog 1996-08-09 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360616-OB_DAAC.umm_json The Plumes and Blooms program is a joint collaboration among UCSB faculty, student and staff researchers at the Institute of Computational Earth System Science (ICESS), NOAA researchers at the Coastal Services Center (Charleston, SC) and the NOAA sanctuary managers of the Channel Islands National Marine Sanctuary (CINMS). Since August, 1996, monthly research cruises have been conducted to collect measurements. These measurements include temperature and salinity, ocean color spectra, and water column profiles of red light transmission and chlorophyll fluorescence (indexes of suspended particulate load and phytoplankton abundance). The transect observations begin at the shelf waters north of Santa Rosa island and end at an area off Goleta Point. These repeat observations are combined with satellite imagery to build a time-series of the changing ocean color conditions in the Santa Barbara Channel. proprietary
PolInSAR_Canopy_Height_1589_1 AfriSAR: Rainforest Canopy Height Derived from PolInSAR and Lidar Data, Gabon ORNL_CLOUD STAC Catalog 2016-02-27 2016-03-08 9.29, -0.35, 11.83, 0.24 https://cmr.earthdata.nasa.gov/search/concepts/C2734258687-ORNL_CLOUD.umm_json This dataset provides estimates of forest canopy height and canopy height uncertainty for study areas in the Pongara National Park and the Lope National Park, Gabon. Two canopy height products are included: 1) Canopy height was derived from multi-baseline Polarimetric Interferometric Synthetic Aperture Radar (PolInSAR) data using an inversion of the random volume over ground (RVoG) model and Kapok, an open source Python library. 2) Canopy height was derived from a fusion of PolInSAR and Land, Vegetation, and Ice Sensor (LVIS) Lidar data. This dataset also includes various intermediate parameters of the PolInSAR data (including radar backscatter, coherence, and viewing and terrain geometry) which provide additional insight into the input data used to invert the RVoG model and accuracy of the canopy height estimates. The AfriSAR campaign was flown from 2016-02-27 to 2016-03-08. AfriSAR data were collected by NASA, in collaboration with the European Space Agency (ESA) and the Gabonese Space Agency. proprietary
@@ -12115,12 +12124,12 @@ QSCAT_LEVEL_2B_OWV_COMP_12_LCR_3.1_3.1 QuikSCAT Level 2B Ocean Wind Vectors in 1
QUICKBIRD_CAPSIZE_COMPTON_GMS_1 Georeferenced Quickbird Multi Spectral Image of Eastern Heard Island from Capsize Beach to Compton Lagoon AU_AADC STAC Catalog 2003-01-17 2003-01-17 73.5, -53.19, 73.79, -53.03 https://cmr.earthdata.nasa.gov/search/concepts/C1214313684-AU_AADC.umm_json Multispectral Quickbird Image of eastern Heard Island. This image was derived from Quickbird satellite imagery captured on 17 January 2003. More information about the images used, the processing, and the feature mapping are documented in an image report available for download at the url given below. proprietary
QUICKBIRD_HEARD_EAST_FEATURES_1 Features mapped from two pan sharpened Quickbird images of eastern Heard Island AU_AADC STAC Catalog 2003-01-17 2003-01-17 73.51, -53.18, 73.79, -53.01 https://cmr.earthdata.nasa.gov/search/concepts/C1214313710-AU_AADC.umm_json Features mapped from two pan sharpened multi spectral satellite images of eastern Heard Island, from Shag Island to Compton Lagoon to Capsize Beach. The images were captured from Quickbird on 17 January 2003. The features include coastline, glaciers, lagoons, moraines, snow, vegetation, lakes and watercourses. More information about the images used, the processing, and the feature mapping are documented in an image report available for download at the url given below. proprietary
QUIKSCAT_ESDR_L2_WIND_STRESS_V1.0_1.0 QuikSCAT Scatterometer Inter-Calibrated ESDR Level 2 Ocean Surface Equivalent Neutral Wind Vectors and Wind Stress Vectors Version 1.0 POCLOUD STAC Catalog 2007-01-01 2009-11-22 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2491137146-POCLOUD.umm_json This dataset contains the first provisional release of the MEaSUREs-funded Earth Science Data Record (ESDR) of inter-calibrated ocean surface wind vectors (equivalent neutral and true 10m) and wind stress vectors derived from QuikSCAT scatterometer observations. The primary purpose of this release is for provisional evaluation by the NASA International Ocean Vector Winds Science Team (IOVWST). As such, this release is not intended for science-quality research, and is subject to future revision based on feedback provided by the IOVWST. The wind vector and stress retrievals are provided on a non-uniform grid within the swath (Level 2 (L2) products) at 12.5 km pixel resolution. Each L2 file corresponds to a specific orbital revolution (rev) number, which begins at the southernmost point of the ascending orbit. proprietary
-QuickBird-2.ESA.archive_NA QuickBird-2 ESA archive ESA STAC Catalog 2002-02-11 2012-05-25 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689573-ESA.umm_json The QuickBird-2 archive collection consists of QuickBird-2 products requested by ESA supported projects over their areas of interest around the world. The dataset regularly grows as ESA collects new products over the years. Panchromatic (up to 61 cm resolution) and 4-Bands (up to nominal value of 2.44m resolution, reduced to 1.63m when at the end of the mission the orbit altitude was lowered to 300km) products are available; the 4-Bands includes various options such as Multispectral (separate channel for BLUE, GREEN, RED, NIR1), Pan-sharpened (BLUE, GREEN, RED, NIR1), Bundle (separate bands for PAN, BLUE, GREEN, RED, NIR1), Natural Color (pan-sharpened BLUE, GREEN, RED), Colored Infrared (pan-sharpened GREEN, RED, NIR1), Natural Colour / Coloured Infrared (3-Band pan-sharpened) The processing levels are: • STANDARD (2A): normalized for topographic relief • VIEW READY STANDARD (OR2A): ready for orthorectification • VIEW READY STEREO: collected in-track for stereo viewing and manipulation • MAP-READY (ORTHO) 1:12.000 Orthorectified: additional processing unnecessary • MAP-READY (ORTHO) 1:15.000 Orthorectified: additional processing unnecessary proprietary
-QuickBird.full.archive_NA QuickBird full archive ESA STAC Catalog 2001-11-01 2015-03-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336934-ESA.umm_json QuickBird high resolution optical products are available as part of the Maxar Standard Satellite Imagery products from the QuickBird, WorldView-1/-2/-3/-4, and GeoEye-1 satellites. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. In particular, QuickBird offers archive panchromatic products up to 0.60m GSD resolution and 4-Bands Multispectral products up to 2.4m GSD resolution • Panchromatic and 4-bands - Levels: STANDARD (2A) / VIEW READY STANDARD (OR2A), VIEW READY STEREO, MAP-READY (ORTHO) 1:12.000 Orthorectified, MAP-READY (ORTHO) 1:50.000 Orthorectified - Resolutions: 0.30 m, 0.40 m, 0.50 m. 0.60 m • 8-Bands - Levels: STANDARD (2A) / VIEW READY STANDARD (OR2A), VIEW READY STEREO, MAP-READY (ORTHO) 1:12.000 Orthorectified - Resolutions: 0.30 m, 0.40 m, 0.50 m. 0.60 m 4-Bands being an optional from: •• 4-Band Multispectral (BLUE, GREEN, RED, NIR1) • 4-Band Pan-sharpened (BLUE, GREEN, RED, NIR1) • 4-Band Bundle (PAN, BLUE, GREEN, RED, NIR1) • 3-Bands Natural Colour (pan-sharpened BLUE, GREEN, RED) • 3-Band Colored Infrared (pan-sharpened GREEN, RED, NIR1) • Natural Colour / Coloured Infrared (3-Band pan-sharpened) The list of available archived data can be retrieved using the Image Library (https://www.euspaceimaging.com/image-library/) catalogue. proprietary
+QuickBird-2.ESA.archive_6.0 QuickBird-2 ESA archive ESA STAC Catalog 2002-02-11 2012-05-25 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689573-ESA.umm_json The QuickBird-2 archive collection consists of QuickBird-2 products requested by ESA supported projects over their areas of interest around the world. The dataset regularly grows as ESA collects new products over the years. Panchromatic (up to 61 cm resolution) and 4-Bands (up to nominal value of 2.44m resolution, reduced to 1.63m when at the end of the mission the orbit altitude was lowered to 300km) products are available; the 4-Bands includes various options such as Multispectral (separate channel for BLUE, GREEN, RED, NIR1), Pan-sharpened (BLUE, GREEN, RED, NIR1), Bundle (separate bands for PAN, BLUE, GREEN, RED, NIR1), Natural Color (pan-sharpened BLUE, GREEN, RED), Colored Infrared (pan-sharpened GREEN, RED, NIR1), Natural Colour / Coloured Infrared (3-Band pan-sharpened) The processing levels are: • STANDARD (2A): normalized for topographic relief • VIEW READY STANDARD (OR2A): ready for orthorectification • VIEW READY STEREO: collected in-track for stereo viewing and manipulation • MAP-READY (ORTHO) 1:12.000 Orthorectified: additional processing unnecessary • MAP-READY (ORTHO) 1:15.000 Orthorectified: additional processing unnecessary proprietary
+QuickBird.full.archive_5.0 QuickBird full archive ESA STAC Catalog 2001-11-01 2015-03-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336934-ESA.umm_json "QuickBird high resolution optical products are available as part of the Maxar Standard Satellite Imagery products from the QuickBird, WorldView-1/-2/-3/-4, and GeoEye-1 satellites. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. In particular, QuickBird offers archive panchromatic products up to 0.60 m GSD resolution and 4-Bands Multispectral products up to 2.4 m GSD resolution. Band Combination Data Processing Level Resolution Panchromatic and 4-bands Standard(2A)/View Ready Standard (OR2A) 15 cm HD, 30 cm HD, 30 cm, 40 cm, 50/60 cm View Ready Stereo 30 cm, 40 cm, 50/60 cm Map-Ready (Ortho) 1:12,000 Orthorectified 15 cm HD, 30 cm HD, 30 cm, 40 cm, 50/60 cm 4-Bands being an option from: 4-Band Multispectral (BLUE, GREEN, RED, NIR1) 4-Band Pan-sharpened (BLUE, GREEN, RED, NIR1) 4-Band Bundle (PAN, BLUE, GREEN, RED, NIR1) 3-Bands Natural Colour (pan-sharpened BLUE, GREEN, RED) 3-Band Colored Infrared (pan-sharpened GREEN, RED, NIR1) Natural Colour / Coloured Infrared (3-Band pan-sharpened) Native 30 cm and 50/60 cm resolution products are processed with MAXAR HD Technology to generate respectively the 15 cm HD and 30 cm HD products: the initial special resolution (GSD) is unchanged but the HD technique intelligently increases the number of pixels and improves the visual clarity achieving aesthetically refined imagery with precise edges and well reconstructed details." proprietary
R2A_LIS3_STUC00GTD_1.0 Resourcesat 2A LIS3 Standard Products ISRO STAC Catalog 2017-01-06 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1405714988-ISRO.umm_json The medium resolution multi-spectral sensor, LISS-3 operates in four spectral bands - B2, B3, B4 in visible near infrared (VNIR) and B5 in Short Wave Infrared (SWIR) providing data with 23.5m resolution. Standard products are full scene (path-row) based geo-referenced as well as geo-orthokit products. proprietary
R2A_LIS4_FMX_STUC00GTD_1.0 Resourcesat 2A LIS4 FMX Standard Products ISRO STAC Catalog 2017-01-06 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1405705637-ISRO.umm_json The coarse resolution multi-spectral sensor, LIS4 FMX operates in four spectral bands - B2, B3, B4, B5 in visible near infrared (VNIR) and B5 in Short Wave Infrared (SWIR) providing data with 5.8m resolution. Standard products are full scene (path-row) based geo-referenced as well as geo-orthokit products. proprietary
RADAMBrasil_941_1 Pre-LBA RADAMBRASIL Project Data ORNL_CLOUD STAC Catalog 1973-01-01 1986-12-31 -75, -15, -42, 5 https://cmr.earthdata.nasa.gov/search/concepts/C2777751525-ORNL_CLOUD.umm_json The RADAMBRASIL project extensively mapped the Amazon soils using a combination of soil pit information, aerial photography, and geologic maps. During the project, 1,153 soil pits, distributed basin-wide, were described and sampled by horizon and analyzed for texture and chemical composition.This data set, which consists of one file in ASCII comma separated format, contains soil profile descriptions for locations throughout Brazilian Amazonia. These data are based on RADAMBRASIL surveys from the Soil Profiles of Amazonia (Source: IPAM, Brazil/WHRC, USA). See the companion file Soil Profiles of Amazonia.pdf proprietary
-RADARSAT.SAR.F_NA RADARSAT-1 & 2 full archive and tasking ESA STAC Catalog 1995-12-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336935-ESA.umm_json """RADARSAT-1&2 full archive and new tasking products are available in several different beam modes. RADARSAT-1 PRODUCTS The Standard beam mode operates with any one of seven beam positions, referred to as S1 to S7. The nominal incidence angle range covered by the full set of Standard beams is from 20 degrees (at the inner edge of S1) to 49 degrees (at the outer edge of S7). Each individual beam covers a minimum ground swath of 100 km within the total 500 km accessibility swath of the full set of Standard beams. The nominal spatial resolution in the range direction is 26 m for S1 at near range to 20 m for S7 at far range. The nominal azimuth resolution is the same, 27 m, for all beam positions. The Wide beam modes are similar to the Standard beams except that the swath width achieved by this beam is 150 km rather than 100 km. As a result, only three Wide beams, W1, W2 and W3 are necessary to provide coverage of almost all of the 500 km swath range. They provide comparable resolution to the standard beam mode, though the increased ground swath coverage is obtained at the expense of a slight reduction in overall image quality. In the Fine beam mode the nominal azimuth resolution is 8.4 m, with range resolution 9.1 m to 7.8 m from F1 to F5. Since the radar operates with a higher sampling rate in this mode than in any of the other beam mode, the ground swath coverage has to be reduced to approximately 50 km in order to keep the downlink signal within its allocated bandwidth. Originally, five Fine beam positions, F1 to F5, were available to cover the far range of the swath with an incidence angle range from 37 to 47 degrees. By modifying timing parameters, 10 new positions have been added with offset ground coverage. Each original Fine beam position can either be shifted closer to or further away from Nadir. In Extended High beam mode six positions, EH1 to EH6, are available for collection of data in the 49 to 60 degree incidence angle range. Since this beam mode operates outside the optimum scan angle range of the SAR antenna, some minor degradation of image quality can be expected when compared with the Standard beam mode. Swath widths are restricted to a nominal 80 km for the inner three positions, and 70 km for the outer three positions. In Extended Low beam mode one position, EL1, is provided for imaging in the incidence angle range 10 to 23 degrees with nominal ground swath coverage of 170 km. As with the Extended High beam mode, some minor degradation of image quality can be expected due to operation of the antenna beyond its optimum elevation angle range. In ScanSAR mode, combinations of two, three or four single beams are used during data collection. Each beam is selected sequentially so that data is collected from a wider swath than possible with a single beam. The beam switching rates are chosen to ensure at least one ""look"" at the Earth's surface for each beam within the along track illumination time or dwell time of the antenna beam. In practice, the radar beam switching is adjusted to provide two looks per beam. The beam multiplexing inherent in ScanSAR operation reduces the effective sampling rate within each of the component beams; hence the increased swath coverage is obtained at the expense of spatial resolution. The ScanSAR Narrow mode combines two beams (incidence angle range of 20 to 39 degrees) or three beams (incidence angle from 31 to 46 degrees) and provides coverage of a nominal 300 km ground swath, with spatial resolution of 50 m. The ScanSAR Wide mode combines four beams, provides coverage of either 500 km (with incidence angle range of 20 to 49 degrees) or 450 km (incidence angle range from 20 to 46 degrees) nominal ground swaths depending on the beam combination. Beam Mode| Product| Ground coverage (km2)| Nominal resolution (m)| Polarisation| ScanSAR wide| SCW, SCF, SCS| 500 x 500| 100| Single and dual| ScanSAR narrow| SCN, SCF, SCS| 300 x 300| 60| Single and dual| Wide| SGF, SGX, SLC, SSG, SPG| 150 x 150| 24| Single and dual| Standard| SGF, SGX, SLC, SSG, SPG| 100 x 100| 24| Single| Extended low| SGF, SGX, SLC, SSG, SPG| 170 x 170| 24| Single| Extended high| SGF, SGX, SLC, SSG, SPG| 75 x 75| 24| Single| Fine| SGF, SGX, SLC, SSG, SPG| 50 x 50| 8| Single| RADARSAT-2 PRODUCTS The Standard Beam Mode allows imaging over a wide range of incidence angles with a set of image quality characteristics which provides a balance between fine resolution and wide coverage, and between spatial and radiometric resolutions. Standard Beam Mode operates with any one of eight beams, referred to as S1 to S8. The nominal incidence angle range covered by the full set of beams is 20 degrees (at the inner edge of S1) to 52 degrees (at the outer edge of S8). Each individual beam covers a nominal ground swath of 100 km within the total standard beam accessibility swath of more than 500 km. The Wide Swath Beam Mode allows imaging of wider swaths than Standard Beam Mode, but at the expense of slightly coarser spatial resolution. The three Wide Swath beams, W1, W2 and W3, provide coverage of swaths of approximately 170 km, 150 km and 130 km in width respectively, and collectively span a total incidence angle range from 20 degrees to 45 degrees. The Fine Resolution Beam Mode is intended for applications which require finer spatial resolution. Products from this beam mode have a nominal ground swath of 50 km. Nine Fine Resolution physical beams, F23 to F21, and F1 to F6 are available to cover the incidence angle range from 30 to 50 degrees. For each of these beams, the swath can optionally be centred with respect to the physical beam or it can be shifted slightly to the near or far range side. Thanks to these additional swath positioning choices, overlaps of more than 50% are provided between adjacent swaths. In the Extended Low Incidence Beam Mode, a single Extended Low Incidence Beam, EL1, is provided for imaging in the incidence angle range from 10 to 23 degrees with a nominal ground swath coverage of 170 km. Some minor degradation of image quality can be expected due to operation of the antenna beyond its optimum scan angle range. In the Extended High Incidence Beam Mode, six Extended High Incidence Beams, EH1 to EH6, are available for imaging in the 49 to 60 degree incidence angle range. Since these beams operate outside the optimum scan angle range of the SAR antenna, some degradation of image quality, becoming progressively more severe with increasing incidence angle, can be expected when compared with the Standard Beams. Swath widths are restricted to a nominal 80 km for the inner three beams, and 70 km for the outer beams. ScanSAR Narrow Beam Mode provides coverage of a ground swath approximately double the width of the Wide Swath Beam Mode swaths. Two swath positions with different combinations of physical beams can be used: SCNA, which uses physical beams W1 and W2, and SCNB, which uses physical beams W2, S5, and S6. Both options provide coverage of swath widths of about 300 km. The SCNA combination provides coverage over the incidence angle range from 20 to 39 degrees. The SCNB combination provides coverage over the incidence angle range 31 to 47 degrees. ScanSAR Wide Beam Mode provides coverage of a ground swath approximately triple the width of the Wide Swath Beam Mode swaths. Two swath positions with different combinations of physical beams can be used: SCWA, which uses physical beams W1, W2, W3, and S7, and SCWB, which uses physical beams W1, W2, S5 and S6. The SCWA combination allows imaging of a swath of more than 500 km covering an incidence angle range of 20 to 49 degrees. The SCWB combination allows imaging of a swath of more than 450 km covering the incidence angle. In the Standard Quad Polarization Beam Mode, the radar transmits pulses alternately in horizontal (H) and vertical (V) polarisations, and receives the return signals from each pulse in both H and V polarisations separately but simultaneously. This beam mode therefore enables full polarimetric (HH+VV+HV+VH) image products to be generated. The Standard Quad Polarization Beam Mode operates with the same pulse bandwidths as the Standard Beam Mode. Products with swath widths of approximately 25 km can be obtained covering any area within the region from an incidence angle of 18 degrees to at least 49 degrees. The Wide Standard Quad Polarization Beam Mode operates the same way as the Standard Quad Polarization Beam Mode but with higher data acquisition rates, and offers wider swaths of approximately 50 km at equivalent spatial resolution. 21 beams are available covering any area from 18 degrees to 42 degrees, ensuring overlaps of about 50% between adjacent swaths. The Fine Quad Polarization Beam Mode provides full polarimetric imaging with the same spatial resolution as the Fine Resolution Beam Mode. Fine Quad Polarization Beam Mode products with swath widths of approximately 25 km can be obtained covering any area within the region from an incidence angle of 18 degrees to at least 49 degrees. The Wide Fine Quad Polarization Beam Mode operates the same way as the Fine Quad Polarization Beam Mode but with higher data acquisition rates, and offers a wider swath of approximately 50 km at equivalent spatial resolution. 21 beams are available covering any area from 18 degrees to 42 degrees, ensuring overlaps of about 50% between adjacent swaths. The Multi-Look Fine Resolution Beam Mode covers the same swaths as the Fine Resolution Beam Mode. Products with multiple looks in range and azimuth are generated at approximately the same spatial resolution as Fine Resolution Beam mode products, but with multiple looks and therefore improved radiometric resolution. Single look products are generated at finer spatial resolutions than Fine Resolution Beam Mode products. In order to obtain the multiple looks without a reduction in swath width, this beam mode operates with higher data acquisition rates and noise levels than Fine Resolution Beam Mode. As with the Fine Resolution Beam Mode, nine physical beams are available to cover the incidence angle range from 30 to 50 degrees, and additional near and/or far range swath positioning choices are available to provide additional overlap. The Wide Multi-Look Fine Resolution Beam Mode offers a wider coverage alternative to the regular Multi-Look Fine Beam Mode, while preserving the same spatial and radiometric resolution, but at the expense of higher data compression ratios (which leads to higher signal-dependent noise levels). The nominal swath width is 90 km compared to 50 km for the Multi-Look Fine Beam Mode. The nine physical beams are the same as in the Multi-Look Fine Beam Mode, covering incidence angles from approximately 30 to 50 degrees, but the additional near and far range swath positioning choices available in the Multi-Look Fine Beam Mode are not needed because the beam centered swaths are wide enough to overlap by more than 50%. The Ultra-Fine Resolution Beam Mode is intended for applications which require very high spatial resolution. The set of Ultra-Fine Resolution Beams cover any area within the incidence angle range from 20 to 50 degrees (soon to be extended to 54 degrees). Each beam within the set images a swath width of at least 20 km. The Wide Ultra-Fine Resolution Beam Mode provides the same spatial resolution as the Ultra-Fine mode as well as wider coverage, but at the expense of higher data compression ratios (which leads to higher signal-dependent noise levels). The set of Wide Ultra-Fine Resolution Beams cover any area within the incidence angle range from 30 to 50 degrees. Each beam within the set images a swath width of approximately 50 km. The Wide Fine Resolution Beam Mode is intended for applications which require both a finer spatial resolution and a wide swath. Products from this beam mode have a nominal ground swath equivalent to the ones offered by the Wide Swath Beam Mode (170 km, 150 km and 120 km) and a spatial resolution equivalent to the ones offered by the Fine Resolution Beam Mode, at the expense of somewhat higher noise levels. Three Wide Fine Resolution beam positions, F0W1 to F0W3 are available to cover the incidence angle range from 20 to 45 degrees. The Extra-Fine Resolution Beam Mode nominally provides similar swath width and incidence angle coverage as the Wide Fine Beam Mode, at even finer resolutions, but with higher data compression ratios and noise levels. The four Extra-Fine beams provide coverage of swaths of approximately 160 km, 124 km, 120 km and 108 km in width respectively, and collectively span a total incidence angle range from 22 to 49 degrees. This beam mode also offers additional optional processing parameter selections that allow for reduced-bandwidth single-look products, 4-look, and 28-look products. In Spotlight Beam Mode, the beam is steered electronically in order to dwell on the area of interest over longer aperture times, which allows products to be processed to finer azimuth resolution than in other modes. Unlike in other modes, Spotlight images are of fixed size in the along track direction. The set of Spotlight beams cover any area within the incidence angle range from 20 to 50 degrees (soon to be extended to 54 degrees). Each beam within the set images a swath width of at least 18 km. Beam Mode| Product| Nominal Pixel Spacing [Range x Azimuth](metres)| Nominal Resolution (metres)| Resolution [Range x Azimuth](metres)| Nominal Scene Size [Range x Azimuth](kilometres)| Range of Angle of Incidence [Range](degrees)| Number of Looks [Range x Azimuth]| Polarisations Options| Spotlight| SLC |1.3 x 0.4| <1| 1.6 x 0.8| 18 x 8| 20 to 54| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Spotlight| SGX |1 or 0.8 x 1/3| <1|4.6 - 2.0 x 0.8|18 x 8| 20 to 54| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Spotlight| SGF |0.5 x 0.5| <1|4.6 - 2.0 x 0.8|18 x 8| 20 to 54| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Spotlight| SSG, SPG|0.5 x 0.5| <1|4.6 - 2.0 x 0.8|18 x 8| 20 to 54| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Ultra-fine| SLC| 1.3 x 2.1| 3| 1.6 x 2.8| 20 x 20| 20 to 54| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Ultra-fine| SGX| 1 x 1 or 0.8 x 0.8| 3| 3.3 – 2.1 x 2.8| 20 x 20| 20 to 54| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Ultra-fine| SGF| 1.56 x 1.56| 3| 3.3 – 2.1 x 2.8| 20 x 20| 20 to 54| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Ultra-fine| SSG, SPG| 1.56 x 1.56| 3| 3.3 – 2.1 x 2.8| 20 x 20| 20 to 54| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Wide Ultra-fine| SLC| 1.3 x 2.1| 3| 3.1 x 4.6| 50 x 50 29 to 50 1 x 1 Single Co or Cross (HH or VV or HV or VH)| Wide Ultra-fine| SGX| 1 x 1| 3| 3.3 - 2.1 x 2.8| 50 x 50 29 to 50 1 x 1 Single Co or Cross (HH or VV or HV or VH)| Wide Ultra-fine| SGF| 1.56 x 1.56| 3| 3.3 - 2.1 x 2.8| 50 x 50 29 to 50 1 x 1 Single Co or Cross (HH or VV or HV or VH)| Wide Ultra-fine| SSG, SPG| 1.56 x 1.56| 3| 3.3 - 2.1 x 2.8| 50 x 50 29 to 50 1 x 1 Single Co or Cross (HH or VV or HV or VH)| Multi-look fine| SLC| 2.7 x 2.9| 8| 3.1 x 4.6| 50 x 50| 30 to 50| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Multi-look fine| SGX| 3.13 x 3.13| 8| 10.4 - 6.8 x 7.6| 50 x 50| 30 to 50| 2 x 2| Single Co or Cross (HH or VV or HV or VH)| Multi-look fine| SGF| 6.25 x 6.25| 8| 10.4 - 6.8 x 7.6| 50 x 50| 30 to 50| 2 x 2| Single Co or Cross (HH or VV or HV or VH)| Multi-look fine| SSG, SPG| 6.25 x 6.25| 8| 10.4 - 6.8 x 7.6| 50 x 50| 30 to 50| 2 x 2| Single Co or Cross (HH or VV or HV or VH)| Wide Multi-look fine| SLC| 2.7 x 2.9| 8| 3.1 x 4.6| 90 x 50| 29 to 50| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Wide Multi-look fine| SGX| 3.13 x 3.13| 8| 10.8 - 6.8 x 7.6| 90 x 50| 29 to 50| 2 x 2| Single Co or Cross (HH or VV or HV or VH)| Wide Multi-look fine| SGF| 6.25 x 6.25| 8| 10.8 - 6.8 x 7.6| 90 x 50| 29 to 50| 2 x 2| Single Co or Cross (HH or VV or HV or VH)| Wide Multi-look fine| SSG, SPG| 6.25 x 6.25| 8| 10.8 - 6.8 x 7.6| 90 x 50| 29 to 50| 2 x 2| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SLC| (Full resolution)| 2.7 x 2.9| 5| 3.1 x 4.6| 125 x 125| 22 to 49| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SLC| (fine resolution)| 4.3 x 5.8| 5| 5.2 x 7.6| 125 x 125| 22 to 49| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SLC| (standard resolution)| 7.1 x 5.8| 5| 8.9 x 7.6| 125 x 125| 22 to 49| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SLC| (wide resolution)| 10.6 x 5.8| 5| 13.3 x 7.6| 125 x 125| 22 to 49| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SGX| (1 look)| 2.0 x 2.0| 5| 8.4 – 4.1 x 4.6| 125 x 125| 22 to 49| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SGX| (4 looks)| 3.13 x 3.13| 5| 14 – 6.9 x 7.6| 125 x 125| 22 to 49| 2 x 2| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SGX| (28 looks)| 5.0 x 5.0| 5| 24 - 12 x 23.5| 125 x 125| 22 to 49| 4 x 7| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SGF| (1 look)| 3.13 x 3.13| 5| 8.4 - 4.1 x 4.6| 125 x 125| 22 to 49| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SGF| (4 looks)| 6.25 x 6.25| 5| 14 - 6.9 x 7.6| 125 x 125| 22 to 49| 2 x 2| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SGF| (28 looks)| 8.0 x 8.0| 5| 24 - 12 x 23.5| 125 x 125| 22 to 49| 4 x 7| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SSG, SPG| 3.13 x 3.13| 5| 8.4 - 4.1 x 4.6| 125 x 125| 22 to 49| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Fine| SLC| 4.7 x 5.1| 8| 5.2 x 7.7| 50 x 50| 30 to 50| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Fine| SGX| 3.13 x 3.13| 8| 10.4 – 6.8 x 7.7| 50 x 50| 30 to 50| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Fine| SGF| 6.25 x 6.25| 8| 10.4 – 6.8 x 7.7| 50 x 50| 30 to 50| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Fine| SSG, SPG| 6.25 x 6.25| 8| 10.4 – 6.8 x 7.7| 50 x 50| 30 to 50| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Wide Fine| SLC| 4.7 x 5.1| 8| 5.2 x 7.7| 150 x 150| 20 to 45| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Wide Fine| SGX| 3.13 x 3.13| 8| 14.9 - 7.3 x 7.7| 150 x 150| 20 to 45| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Wide Fine| SGF| 6.25 x 6.25| 8| 14.9 - 7.3 x 7.7| 150 x 150| 20 to 45| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Wide Fine| SSG, SPG| 6.25 x 6.25| 8| 14.9 - 7.3 x 7.7| 150 x 150| 20 to 45| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Standard| SLC| 8.0 or 11.8 x 5.1| 25| 9.0 or 13.5 x 7.7| 100 x 100| 20 - 52| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Standard| SGX| 8 x 8| 25| 26.8 - 17.3 x 24.7| 100 x 100| 20 - 52| 1 x 4| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Standard| SGF| 12.5 x 12.5| 25| 26.8 - 17.3 x 24.7| 100 x 100| 20 - 52| 1 x 4| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Standard| SSG, SPG| 12.5 x 12.5| 25| 26.8 - 17.3 x 24.7| 100 x 100| 20 - 52| 1 x 4| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Wide| SLC| 11.8 x 5.1| 30| 13.5 x 7.7| 150 x 150| 20 - 45| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Wide| SGX| 10 x 10| 30| 40.0 - 19.2 x 24.7| 150 x 150| 20 - 45| 1 x 4| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Wide| SGF| 12.5 x 12.5| 30| 40.0 - 19.2 x 24.7| 150 x 150| 20 - 45| 1 x 4| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Wide| SSG, SPG| 12.5 x 12.5| 30| 40.0 - 19.2 x 24.7| 150 x 150| 20 - 45| 1 x 4| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Extended High| SLC| 11.8 x 5.1| 25| 13.5 x 7.7| 75 x 75| 49 - 60| 1 x 1| Single (HH only)| Extended High| SGX| 8 x 8| 25| 18.2 - 15.9 x 24.7| 75 x 75| 49 - 60| 1 x 4| Single (HH only)| Extended High| SGF| 12.5 x 12.5| 25| 18.2 - 15.9 x 24.7| 75 x 75| 49 - 60| 1 x 4| Single (HH only)| Extended High| SSG, SPG| 12.5 x 12.5| 25| 18.2 - 15.9 x 24.7| 75 x 75| 49 - 60| 1 x 4| Single (HH only)| Extended Low| SLC| 8.0 x 5.1| 25| 9.0 x 7.7| 170 x 170| 10 - 23| 1 x 1| Single (HH only)| Extended Low| SGX| 10 x 10| 25| 52.7 – 23.3 x 24.7| 170 x 170| 10 - 23| 1 x 4| Single (HH only)| Extended Low| SGF| 12.5 x 12.5| 25| 52.7 – 23.3 x 24.7| 170 x 170| 10 - 23| 1 x 4| Single (HH only)| Extended Low| SSG, SPG| 12.5 x 12.5| 25| 52.7 – 23.3 x 24.7| 170 x 170| 10 - 23| 1 x 4| Single (HH only)| Fine Quad-Pol| SLC| 4.7 x 5.1| 8| 5.2 x 7.6| 25 x 25| 18 - 49| 1 x 1| Quad (HH+VV+HV+VH)| Fine Quad-Pol| SGX| 3.13 x 3.13| 8| 16.5 – 6.8 x 7.6| 25 x 25| 18 - 49| 1 x 1| Quad (HH+VV+HV+VH)| Fine Quad-Pol| SSG, SPG| 3.13 x 3.13| 8| 16.5 – 6.8 x 7.6| 25 x 25| 18 - 49| 1 x 1| Quad (HH+VV+HV+VH)| Wide Fine Quad-Pol| SLC| 4.7 x 5.1| 8| 5.2 x 7.6| 50 x 25| 18 - 42| 1 x 1 Quad (HH+VV+HV+VH)| Wide Fine Quad-Pol| SGX| 3.13 x 3.13| 8| 17.3–7.8 x 7.6| 50 x 25| 18 - 42| 1 x 1 Quad (HH+VV+HV+VH)| Wide Fine Quad-Pol| SSG, SPG| 3.13 x 3.13| 8| 17.3–7.8 x 7.6| 50 x 25| 18 - 42| 1 x 1 Quad (HH+VV+HV+VH)| Standard Quad-Pol| SLC| 8 or 11.8 x 5.1| 25| 9.0 or 13.5 x 7.6| 25 x 25| 18 - 49| 1 x 1| Quad (HH+VV+HV+VH)| Standard Quad-Pol| SGX| 8 x 3.13| 25| 28.6 – 17.7 x 7.6| 25 x 25| 18 - 49| 1 x 1| Quad (HH+VV+HV+VH)| Standard Quad-Pol| SSG, SPG| 8 x 3.13| 25| 28.6 – 17.7 x 7.6| 25 x 25| 18 - 49| 1 x 1| Quad (HH+VV+HV+VH)| Wide Standard Quad-Pol| SLC| 8 or 11.8 x 5.1| 25| 9.0 or 13.5 x 7.6| 50 x 25| 18 - 42| 1 x 1| Quad (HH+VV+HV+VH)| Wide Standard Quad-Pol| SGX| 8 x 3.13| 25| 30.0 –16.7 x 7.6| 50 x 25| 18 - 42| 1 x 1| Quad (HH+VV+HV+VH)| Wide Standard Quad-Pol| SSG, SPG| 8 x 3.13| 25| 30.0 –16.7 x 7.6| 50 x 25| 18 - 42| 1 x 1| Quad (HH+VV+HV+VH)| ScanSAR Narrow| SCN, SCF, SCS| 25 x 25| 50| 81–38 x 40-70| 300 x 300| 20 to 46| 2 x 2| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| ScanSAR Wide| SCW, SCF, SCS| 50 x 50| 100| 163-73 x 78-106| 500 x 500| 20 to 49| 4 x 2| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| These are the different products : SLC (Single Look Complex): Amplitude and phase information is preserved. Data is in slant range. Georeferenced and aligned with the satellite track SGF (Path Image): Data is converted to ground range and may be multi-look processed. Scene is oriented in direction of orbit path. Georeferenced and aligned with the satellite track. SGX (Path Image Plus): Same as SGF except processed with refined pixel spacing as needed to fully encompass the image data bandwidths. Georeferenced and aligned with the satellite track SSG(Map Image): Image is geocorrected to a map projection. SPG (Precision Map Image): Image is geocorrected to a map projection. Ground control points (GCP) are used to improve positional accuracy. SCN(ScanSAR Narrow)/SCF(ScanSAR Wide) : ScanSAR Narrow/Wide beam mode product with original processing options and metadata fields (for backwards compatibility only). Georeferenced and aligned with the satellite track SCF (ScanSAR Fine): ScanSAR product equivalent to SGF with additional processing options and metadata fields. Georeferenced and aligned with the satellite track SCS(ScanSAR Sampled) : Same as SCF except with finer sampling. Georeferenced and aligned with the satellite track The products are available as part of the MDA provision from RADARSAT missions with worldwide coverage: the EODMS catalogue (https://www.eodms-sgdot.nrcan-rncan.gc.ca/index_en.jsp) can be accessed (registration required only for ordering) to discover and check the data readiness. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section." proprietary
+RADARSAT.SAR.F_6.0 RADARSAT-1 & 2 full archive and tasking ESA STAC Catalog 1995-12-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336935-ESA.umm_json "RADARSAT-1&2 full archive and new tasking products are available in several different beam modes. RADARSAT-1 PRODUCTS The Standard beam mode operates with any one of seven beam positions, referred to as S1 to S7. The nominal incidence angle range covered by the full set of Standard beams is from 20 degrees (at the inner edge of S1) to 49 degrees (at the outer edge of S7). Each individual beam covers a minimum ground swath of 100 km within the total 500 km accessibility swath of the full set of Standard beams. The nominal spatial resolution in the range direction is 26 m for S1 at near range to 20 m for S7 at far range. The nominal azimuth resolution is the same, 27 m, for all beam positions. The Wide beam modes are similar to the Standard beams except that the swath width achieved by this beam is 150 km rather than 100 km. As a result, only three Wide beams, W1, W2 and W3 are necessary to provide coverage of almost all of the 500 km swath range. They provide comparable resolution to the standard beam mode, though the increased ground swath coverage is obtained at the expense of a slight reduction in overall image quality. In the Fine beam mode the nominal azimuth resolution is 8.4 m, with range resolution 9.1 m to 7.8 m from F1 to F5. Since the radar operates with a higher sampling rate in this mode than in any of the other beam mode, the ground swath coverage has to be reduced to approximately 50 km in order to keep the downlink signal within its allocated bandwidth. Originally, five Fine beam positions, F1 to F5, were available to cover the far range of the swath with an incidence angle range from 37 to 47 degrees. By modifying timing parameters, 10 new positions have been added with offset ground coverage. Each original Fine beam position can either be shifted closer to or further away from Nadir. In Extended High beam mode six positions, EH1 to EH6, are available for collection of data in the 49 to 60 degree incidence angle range. Since this beam mode operates outside the optimum scan angle range of the SAR antenna, some minor degradation of image quality can be expected when compared with the Standard beam mode. Swath widths are restricted to a nominal 80 km for the inner three positions, and 70 km for the outer three positions. In Extended Low beam mode one position, EL1, is provided for imaging in the incidence angle range 10 to 23 degrees with nominal ground swath coverage of 170 km. As with the Extended High beam mode, some minor degradation of image quality can be expected due to operation of the antenna beyond its optimum elevation angle range. In ScanSAR mode, combinations of two, three or four single beams are used during data collection. Each beam is selected sequentially so that data is collected from a wider swath than possible with a single beam. The beam switching rates are chosen to ensure at least one "look" at the Earth's surface for each beam within the along track illumination time or dwell time of the antenna beam. In practice, the radar beam switching is adjusted to provide two looks per beam. The beam multiplexing inherent in ScanSAR operation reduces the effective sampling rate within each of the component beams; hence the increased swath coverage is obtained at the expense of spatial resolution. The ScanSAR Narrow mode combines two beams (incidence angle range of 20 to 39 degrees) or three beams (incidence angle from 31 to 46 degrees) and provides coverage of a nominal 300 km ground swath, with spatial resolution of 50 m. The ScanSAR Wide mode combines four beams, provides coverage of either 500 km (with incidence angle range of 20 to 49 degrees) or 450 km (incidence angle range from 20 to 46 degrees) nominal ground swaths depending on the beam combination. Beam Mode| Product| Ground coverage (km2)| Nominal resolution (m)| Polarisation| ScanSAR wide| SCW, SCF, SCS| 500 x 500| 100| Single and dual| ScanSAR narrow| SCN, SCF, SCS| 300 x 300| 60| Single and dual| Wide| SGF, SGX, SLC, SSG, SPG| 150 x 150| 24| Single and dual| Standard| SGF, SGX, SLC, SSG, SPG| 100 x 100| 24| Single| Extended low| SGF, SGX, SLC, SSG, SPG| 170 x 170| 24| Single| Extended high| SGF, SGX, SLC, SSG, SPG| 75 x 75| 24| Single| Fine| SGF, SGX, SLC, SSG, SPG| 50 x 50| 8| Single| RADARSAT-2 PRODUCTS The Standard Beam Mode allows imaging over a wide range of incidence angles with a set of image quality characteristics which provides a balance between fine resolution and wide coverage, and between spatial and radiometric resolutions. Standard Beam Mode operates with any one of eight beams, referred to as S1 to S8. The nominal incidence angle range covered by the full set of beams is 20 degrees (at the inner edge of S1) to 52 degrees (at the outer edge of S8). Each individual beam covers a nominal ground swath of 100 km within the total standard beam accessibility swath of more than 500 km. The Wide Swath Beam Mode allows imaging of wider swaths than Standard Beam Mode, but at the expense of slightly coarser spatial resolution. The three Wide Swath beams, W1, W2 and W3, provide coverage of swaths of approximately 170 km, 150 km and 130 km in width respectively, and collectively span a total incidence angle range from 20 degrees to 45 degrees. The Fine Resolution Beam Mode is intended for applications which require finer spatial resolution. Products from this beam mode have a nominal ground swath of 50 km. Nine Fine Resolution physical beams, F23 to F21, and F1 to F6 are available to cover the incidence angle range from 30 to 50 degrees. For each of these beams, the swath can optionally be centred with respect to the physical beam or it can be shifted slightly to the near or far range side. Thanks to these additional swath positioning choices, overlaps of more than 50% are provided between adjacent swaths. In the Extended Low Incidence Beam Mode, a single Extended Low Incidence Beam, EL1, is provided for imaging in the incidence angle range from 10 to 23 degrees with a nominal ground swath coverage of 170 km. Some minor degradation of image quality can be expected due to operation of the antenna beyond its optimum scan angle range. In the Extended High Incidence Beam Mode, six Extended High Incidence Beams, EH1 to EH6, are available for imaging in the 49 to 60 degree incidence angle range. Since these beams operate outside the optimum scan angle range of the SAR antenna, some degradation of image quality, becoming progressively more severe with increasing incidence angle, can be expected when compared with the Standard Beams. Swath widths are restricted to a nominal 80 km for the inner three beams, and 70 km for the outer beams. ScanSAR Narrow Beam Mode provides coverage of a ground swath approximately double the width of the Wide Swath Beam Mode swaths. Two swath positions with different combinations of physical beams can be used: SCNA, which uses physical beams W1 and W2, and SCNB, which uses physical beams W2, S5, and S6. Both options provide coverage of swath widths of about 300 km. The SCNA combination provides coverage over the incidence angle range from 20 to 39 degrees. The SCNB combination provides coverage over the incidence angle range 31 to 47 degrees. ScanSAR Wide Beam Mode provides coverage of a ground swath approximately triple the width of the Wide Swath Beam Mode swaths. Two swath positions with different combinations of physical beams can be used: SCWA, which uses physical beams W1, W2, W3, and S7, and SCWB, which uses physical beams W1, W2, S5 and S6. The SCWA combination allows imaging of a swath of more than 500 km covering an incidence angle range of 20 to 49 degrees. The SCWB combination allows imaging of a swath of more than 450 km covering the incidence angle. In the Standard Quad Polarization Beam Mode, the radar transmits pulses alternately in horizontal (H) and vertical (V) polarisations, and receives the return signals from each pulse in both H and V polarisations separately but simultaneously. This beam mode therefore enables full polarimetric (HH+VV+HV+VH) image products to be generated. The Standard Quad Polarization Beam Mode operates with the same pulse bandwidths as the Standard Beam Mode. Products with swath widths of approximately 25 km can be obtained covering any area within the region from an incidence angle of 18 degrees to at least 49 degrees. The Wide Standard Quad Polarization Beam Mode operates the same way as the Standard Quad Polarization Beam Mode but with higher data acquisition rates, and offers wider swaths of approximately 50 km at equivalent spatial resolution. 21 beams are available covering any area from 18 degrees to 42 degrees, ensuring overlaps of about 50% between adjacent swaths. The Fine Quad Polarization Beam Mode provides full polarimetric imaging with the same spatial resolution as the Fine Resolution Beam Mode. Fine Quad Polarization Beam Mode products with swath widths of approximately 25 km can be obtained covering any area within the region from an incidence angle of 18 degrees to at least 49 degrees. The Wide Fine Quad Polarization Beam Mode operates the same way as the Fine Quad Polarization Beam Mode but with higher data acquisition rates, and offers a wider swath of approximately 50 km at equivalent spatial resolution. 21 beams are available covering any area from 18 degrees to 42 degrees, ensuring overlaps of about 50% between adjacent swaths. The Multi-Look Fine Resolution Beam Mode covers the same swaths as the Fine Resolution Beam Mode. Products with multiple looks in range and azimuth are generated at approximately the same spatial resolution as Fine Resolution Beam mode products, but with multiple looks and therefore improved radiometric resolution. Single look products are generated at finer spatial resolutions than Fine Resolution Beam Mode products. In order to obtain the multiple looks without a reduction in swath width, this beam mode operates with higher data acquisition rates and noise levels than Fine Resolution Beam Mode. As with the Fine Resolution Beam Mode, nine physical beams are available to cover the incidence angle range from 30 to 50 degrees, and additional near and/or far range swath positioning choices are available to provide additional overlap. The Wide Multi-Look Fine Resolution Beam Mode offers a wider coverage alternative to the regular Multi-Look Fine Beam Mode, while preserving the same spatial and radiometric resolution, but at the expense of higher data compression ratios (which leads to higher signal-dependent noise levels). The nominal swath width is 90 km compared to 50 km for the Multi-Look Fine Beam Mode. The nine physical beams are the same as in the Multi-Look Fine Beam Mode, covering incidence angles from approximately 30 to 50 degrees, but the additional near and far range swath positioning choices available in the Multi-Look Fine Beam Mode are not needed because the beam centered swaths are wide enough to overlap by more than 50%. The Ultra-Fine Resolution Beam Mode is intended for applications which require very high spatial resolution. The set of Ultra-Fine Resolution Beams cover any area within the incidence angle range from 20 to 50 degrees (soon to be extended to 54 degrees). Each beam within the set images a swath width of at least 20 km. The Wide Ultra-Fine Resolution Beam Mode provides the same spatial resolution as the Ultra-Fine mode as well as wider coverage, but at the expense of higher data compression ratios (which leads to higher signal-dependent noise levels). The set of Wide Ultra-Fine Resolution Beams cover any area within the incidence angle range from 30 to 50 degrees. Each beam within the set images a swath width of approximately 50 km. The Wide Fine Resolution Beam Mode is intended for applications which require both a finer spatial resolution and a wide swath. Products from this beam mode have a nominal ground swath equivalent to the ones offered by the Wide Swath Beam Mode (170 km, 150 km and 120 km) and a spatial resolution equivalent to the ones offered by the Fine Resolution Beam Mode, at the expense of somewhat higher noise levels. Three Wide Fine Resolution beam positions, F0W1 to F0W3 are available to cover the incidence angle range from 20 to 45 degrees. The Extra-Fine Resolution Beam Mode nominally provides similar swath width and incidence angle coverage as the Wide Fine Beam Mode, at even finer resolutions, but with higher data compression ratios and noise levels. The four Extra-Fine beams provide coverage of swaths of approximately 160 km, 124 km, 120 km and 108 km in width respectively, and collectively span a total incidence angle range from 22 to 49 degrees. This beam mode also offers additional optional processing parameter selections that allow for reduced-bandwidth single-look products, 4-look, and 28-look products. In Spotlight Beam Mode, the beam is steered electronically in order to dwell on the area of interest over longer aperture times, which allows products to be processed to finer azimuth resolution than in other modes. Unlike in other modes, Spotlight images are of fixed size in the along track direction. The set of Spotlight beams cover any area within the incidence angle range from 20 to 50 degrees (soon to be extended to 54 degrees). Each beam within the set images a swath width of at least 18 km. Beam Mode| Product| Nominal Pixel Spacing [Range x Azimuth](metres)| Nominal Resolution (metres)| Resolution [Range x Azimuth](metres)| Nominal Scene Size [Range x Azimuth](kilometres)| Range of Angle of Incidence [Range](degrees)| Number of Looks [Range x Azimuth]| Polarisations Options| Spotlight| SLC |1.3 x 0.4| <1| 1.6 x 0.8| 18 x 8| 20 to 54| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Spotlight| SGX |1 or 0.8 x 1/3| <1|4.6 - 2.0 x 0.8|18 x 8| 20 to 54| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Spotlight| SGF |0.5 x 0.5| <1|4.6 - 2.0 x 0.8|18 x 8| 20 to 54| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Spotlight| SSG, SPG|0.5 x 0.5| <1|4.6 - 2.0 x 0.8|18 x 8| 20 to 54| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Ultra-fine| SLC| 1.3 x 2.1| 3| 1.6 x 2.8| 20 x 20| 20 to 54| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Ultra-fine| SGX| 1 x 1 or 0.8 x 0.8| 3| 3.3 – 2.1 x 2.8| 20 x 20| 20 to 54| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Ultra-fine| SGF| 1.56 x 1.56| 3| 3.3 – 2.1 x 2.8| 20 x 20| 20 to 54| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Ultra-fine| SSG, SPG| 1.56 x 1.56| 3| 3.3 – 2.1 x 2.8| 20 x 20| 20 to 54| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Wide Ultra-fine| SLC| 1.3 x 2.1| 3| 3.1 x 4.6| 50 x 50 29 to 50 1 x 1 Single Co or Cross (HH or VV or HV or VH)| Wide Ultra-fine| SGX| 1 x 1| 3| 3.3 - 2.1 x 2.8| 50 x 50 29 to 50 1 x 1 Single Co or Cross (HH or VV or HV or VH)| Wide Ultra-fine| SGF| 1.56 x 1.56| 3| 3.3 - 2.1 x 2.8| 50 x 50 29 to 50 1 x 1 Single Co or Cross (HH or VV or HV or VH)| Wide Ultra-fine| SSG, SPG| 1.56 x 1.56| 3| 3.3 - 2.1 x 2.8| 50 x 50 29 to 50 1 x 1 Single Co or Cross (HH or VV or HV or VH)| Multi-look fine| SLC| 2.7 x 2.9| 8| 3.1 x 4.6| 50 x 50| 30 to 50| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Multi-look fine| SGX| 3.13 x 3.13| 8| 10.4 - 6.8 x 7.6| 50 x 50| 30 to 50| 2 x 2| Single Co or Cross (HH or VV or HV or VH)| Multi-look fine| SGF| 6.25 x 6.25| 8| 10.4 - 6.8 x 7.6| 50 x 50| 30 to 50| 2 x 2| Single Co or Cross (HH or VV or HV or VH)| Multi-look fine| SSG, SPG| 6.25 x 6.25| 8| 10.4 - 6.8 x 7.6| 50 x 50| 30 to 50| 2 x 2| Single Co or Cross (HH or VV or HV or VH)| Wide Multi-look fine| SLC| 2.7 x 2.9| 8| 3.1 x 4.6| 90 x 50| 29 to 50| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Wide Multi-look fine| SGX| 3.13 x 3.13| 8| 10.8 - 6.8 x 7.6| 90 x 50| 29 to 50| 2 x 2| Single Co or Cross (HH or VV or HV or VH)| Wide Multi-look fine| SGF| 6.25 x 6.25| 8| 10.8 - 6.8 x 7.6| 90 x 50| 29 to 50| 2 x 2| Single Co or Cross (HH or VV or HV or VH)| Wide Multi-look fine| SSG, SPG| 6.25 x 6.25| 8| 10.8 - 6.8 x 7.6| 90 x 50| 29 to 50| 2 x 2| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SLC| (Full resolution)| 2.7 x 2.9| 5| 3.1 x 4.6| 125 x 125| 22 to 49| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SLC| (fine resolution)| 4.3 x 5.8| 5| 5.2 x 7.6| 125 x 125| 22 to 49| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SLC| (standard resolution)| 7.1 x 5.8| 5| 8.9 x 7.6| 125 x 125| 22 to 49| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SLC| (wide resolution)| 10.6 x 5.8| 5| 13.3 x 7.6| 125 x 125| 22 to 49| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SGX| (1 look)| 2.0 x 2.0| 5| 8.4 – 4.1 x 4.6| 125 x 125| 22 to 49| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SGX| (4 looks)| 3.13 x 3.13| 5| 14 – 6.9 x 7.6| 125 x 125| 22 to 49| 2 x 2| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SGX| (28 looks)| 5.0 x 5.0| 5| 24 - 12 x 23.5| 125 x 125| 22 to 49| 4 x 7| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SGF| (1 look)| 3.13 x 3.13| 5| 8.4 - 4.1 x 4.6| 125 x 125| 22 to 49| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SGF| (4 looks)| 6.25 x 6.25| 5| 14 - 6.9 x 7.6| 125 x 125| 22 to 49| 2 x 2| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SGF| (28 looks)| 8.0 x 8.0| 5| 24 - 12 x 23.5| 125 x 125| 22 to 49| 4 x 7| Single Co or Cross (HH or VV or HV or VH)| Extra-fine| SSG, SPG| 3.13 x 3.13| 5| 8.4 - 4.1 x 4.6| 125 x 125| 22 to 49| 1 x 1| Single Co or Cross (HH or VV or HV or VH)| Fine| SLC| 4.7 x 5.1| 8| 5.2 x 7.7| 50 x 50| 30 to 50| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Fine| SGX| 3.13 x 3.13| 8| 10.4 – 6.8 x 7.7| 50 x 50| 30 to 50| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Fine| SGF| 6.25 x 6.25| 8| 10.4 – 6.8 x 7.7| 50 x 50| 30 to 50| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Fine| SSG, SPG| 6.25 x 6.25| 8| 10.4 – 6.8 x 7.7| 50 x 50| 30 to 50| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Wide Fine| SLC| 4.7 x 5.1| 8| 5.2 x 7.7| 150 x 150| 20 to 45| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Wide Fine| SGX| 3.13 x 3.13| 8| 14.9 - 7.3 x 7.7| 150 x 150| 20 to 45| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Wide Fine| SGF| 6.25 x 6.25| 8| 14.9 - 7.3 x 7.7| 150 x 150| 20 to 45| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Wide Fine| SSG, SPG| 6.25 x 6.25| 8| 14.9 - 7.3 x 7.7| 150 x 150| 20 to 45| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Standard| SLC| 8.0 or 11.8 x 5.1| 25| 9.0 or 13.5 x 7.7| 100 x 100| 20 - 52| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Standard| SGX| 8 x 8| 25| 26.8 - 17.3 x 24.7| 100 x 100| 20 - 52| 1 x 4| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Standard| SGF| 12.5 x 12.5| 25| 26.8 - 17.3 x 24.7| 100 x 100| 20 - 52| 1 x 4| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Standard| SSG, SPG| 12.5 x 12.5| 25| 26.8 - 17.3 x 24.7| 100 x 100| 20 - 52| 1 x 4| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Wide| SLC| 11.8 x 5.1| 30| 13.5 x 7.7| 150 x 150| 20 - 45| 1 x 1| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Wide| SGX| 10 x 10| 30| 40.0 - 19.2 x 24.7| 150 x 150| 20 - 45| 1 x 4| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Wide| SGF| 12.5 x 12.5| 30| 40.0 - 19.2 x 24.7| 150 x 150| 20 - 45| 1 x 4| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Wide| SSG, SPG| 12.5 x 12.5| 30| 40.0 - 19.2 x 24.7| 150 x 150| 20 - 45| 1 x 4| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| Extended High| SLC| 11.8 x 5.1| 25| 13.5 x 7.7| 75 x 75| 49 - 60| 1 x 1| Single (HH only)| Extended High| SGX| 8 x 8| 25| 18.2 - 15.9 x 24.7| 75 x 75| 49 - 60| 1 x 4| Single (HH only)| Extended High| SGF| 12.5 x 12.5| 25| 18.2 - 15.9 x 24.7| 75 x 75| 49 - 60| 1 x 4| Single (HH only)| Extended High| SSG, SPG| 12.5 x 12.5| 25| 18.2 - 15.9 x 24.7| 75 x 75| 49 - 60| 1 x 4| Single (HH only)| Extended Low| SLC| 8.0 x 5.1| 25| 9.0 x 7.7| 170 x 170| 10 - 23| 1 x 1| Single (HH only)| Extended Low| SGX| 10 x 10| 25| 52.7 – 23.3 x 24.7| 170 x 170| 10 - 23| 1 x 4| Single (HH only)| Extended Low| SGF| 12.5 x 12.5| 25| 52.7 – 23.3 x 24.7| 170 x 170| 10 - 23| 1 x 4| Single (HH only)| Extended Low| SSG, SPG| 12.5 x 12.5| 25| 52.7 – 23.3 x 24.7| 170 x 170| 10 - 23| 1 x 4| Single (HH only)| Fine Quad-Pol| SLC| 4.7 x 5.1| 8| 5.2 x 7.6| 25 x 25| 18 - 49| 1 x 1| Quad (HH+VV+HV+VH)| Fine Quad-Pol| SGX| 3.13 x 3.13| 8| 16.5 – 6.8 x 7.6| 25 x 25| 18 - 49| 1 x 1| Quad (HH+VV+HV+VH)| Fine Quad-Pol| SSG, SPG| 3.13 x 3.13| 8| 16.5 – 6.8 x 7.6| 25 x 25| 18 - 49| 1 x 1| Quad (HH+VV+HV+VH)| Wide Fine Quad-Pol| SLC| 4.7 x 5.1| 8| 5.2 x 7.6| 50 x 25| 18 - 42| 1 x 1 Quad (HH+VV+HV+VH)| Wide Fine Quad-Pol| SGX| 3.13 x 3.13| 8| 17.3–7.8 x 7.6| 50 x 25| 18 - 42| 1 x 1 Quad (HH+VV+HV+VH)| Wide Fine Quad-Pol| SSG, SPG| 3.13 x 3.13| 8| 17.3–7.8 x 7.6| 50 x 25| 18 - 42| 1 x 1 Quad (HH+VV+HV+VH)| Standard Quad-Pol| SLC| 8 or 11.8 x 5.1| 25| 9.0 or 13.5 x 7.6| 25 x 25| 18 - 49| 1 x 1| Quad (HH+VV+HV+VH)| Standard Quad-Pol| SGX| 8 x 3.13| 25| 28.6 – 17.7 x 7.6| 25 x 25| 18 - 49| 1 x 1| Quad (HH+VV+HV+VH)| Standard Quad-Pol| SSG, SPG| 8 x 3.13| 25| 28.6 – 17.7 x 7.6| 25 x 25| 18 - 49| 1 x 1| Quad (HH+VV+HV+VH)| Wide Standard Quad-Pol| SLC| 8 or 11.8 x 5.1| 25| 9.0 or 13.5 x 7.6| 50 x 25| 18 - 42| 1 x 1| Quad (HH+VV+HV+VH)| Wide Standard Quad-Pol| SGX| 8 x 3.13| 25| 30.0 –16.7 x 7.6| 50 x 25| 18 - 42| 1 x 1| Quad (HH+VV+HV+VH)| Wide Standard Quad-Pol| SSG, SPG| 8 x 3.13| 25| 30.0 –16.7 x 7.6| 50 x 25| 18 - 42| 1 x 1| Quad (HH+VV+HV+VH)| ScanSAR Narrow| SCN, SCF, SCS| 25 x 25| 50| 81–38 x 40-70| 300 x 300| 20 to 46| 2 x 2| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| ScanSAR Wide| SCW, SCF, SCS| 50 x 50| 100| 163-73 x 78-106| 500 x 500| 20 to 49| 4 x 2| Single Co or Cross (HH or VV or HV or VH) or Dual (HH+HV or VV+VH)| These are the different products : SLC (Single Look Complex): Amplitude and phase information is preserved. Data is in slant range. Georeferenced and aligned with the satellite track SGF (Path Image): Data is converted to ground range and may be multi-look processed. Scene is oriented in direction of orbit path. Georeferenced and aligned with the satellite track. SGX (Path Image Plus): Same as SGF except processed with refined pixel spacing as needed to fully encompass the image data bandwidths. Georeferenced and aligned with the satellite track SSG(Map Image): Image is geocorrected to a map projection. SPG (Precision Map Image): Image is geocorrected to a map projection. Ground control points (GCP) are used to improve positional accuracy. SCN(ScanSAR Narrow)/SCF(ScanSAR Wide) : ScanSAR Narrow/Wide beam mode product with original processing options and metadata fields (for backwards compatibility only). Georeferenced and aligned with the satellite track SCF (ScanSAR Fine): ScanSAR product equivalent to SGF with additional processing options and metadata fields. Georeferenced and aligned with the satellite track SCS(ScanSAR Sampled) : Same as SCF except with finer sampling. Georeferenced and aligned with the satellite track The products are available as part of the MDA provision from RADARSAT missions with worldwide coverage: the EODMS catalogue (https://www.eodms-sgdot.nrcan-rncan.gc.ca/index_en.jsp) can be accessed (registration required only for ordering) to discover and check the data readiness. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. proprietary
RAIN_ARKIN_1 Arkin and Janowiak GPI: IR -Based Monthly Rainfall for the GPCP 2.5 x 2.5 degree V1 (RAIN_ARKIN) at GES DISC GES_DISC STAC Catalog 1986-01-01 1995-12-31 -180, -40, 180, 40 https://cmr.earthdata.nasa.gov/search/concepts/C1280859285-GES_DISC.umm_json These data are transitioned to a state of permanent preservation. They are available upon request. More advanced datasets have been developed since. One recommended replacement is the GPCP (doi: 10.5067/DBVUO4KQHXTK) product developed under the MEaSUREs project. The Arkin and Janowiak GPI (GOES Precipitation Index) was the infrared-based monthly rainfall estimate produced by the early GPCP (Global Precipitation Climatology Project) algorithms. The infrared observations from geostationary satellites (GOES, GMS, Meteosat) are used to produce these monthly mean rainfall totals on a 2.5 deg by 2.5 deg grid from 40 N to 40 S for the period Jan 1986 to Dec 1995. proprietary
RAIN_CHANG_2.3 Chang SSM/I Derived Monthly Rain Indices 5 x 5 degree V2.3 (RAIN_CHANG) at GES DISC GES_DISC STAC Catalog 1987-07-01 1995-12-31 -180, -50, 180, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1280859286-GES_DISC.umm_json "These data are transitioned to a state of permanent preservation. They are available upon request. More advanced datasets have been developed since. One recommended replacement is the GPCP (doi: 10.5067/DBVUO4KQHXTK) product developed under the MEaSUREs project. Futhermore, the NASA Precipitation Measurement Missions Project released newly processed SSM/I datasets as output from the GPROF (Goddard Profiling Algorithm). (doi: 10.5067/GPM/SSMI/F11/GPROFCLIM/2A/05, 10.5067/GPM/SSMI/F11/GPROFCLIM/3A-MONTH/05, 10.5067/GPM/SSMI/F11/GPROFCLIM/3A-DAY/05) The ""RAIN_CHANG"" SSM/I Derived Oceanic Monthly Rainfall Indices data set was an early Global Precipitation Climatology Project (GPCP) product. Monthly rainfall indices over the oceans were derived from Special Sensor Microwave Imager (SSM/I) data from the Defense Meteorological Satellite Program (DMSP) satellites F8 and F11, on channels 19 and 22 V. The data set covered the period from July 1987 to December 1995. The monthly rainfall indices are on a 5 degree by 5 degree grid extending from 50 N to 50 S. The Wilheit, Chang and Chiu (1991) method used to derive the indices gives valid values only over ocean areas. Land pixels (including island pixels) and erroneous pixels return a -10 flag. The data are stored on a 72 x 20 grid. Grid point (1,1) contains the index for 45-50 N, 0-5 E, grid point (2,1) contains the index for 45-50 N, 5-10 E, ... and grid point (72,20) contains the index for 45-50 S, 175-180 W. In the data set, each month starts with an ASCII header to identify the year and month. The data is in 10F8.1 format. Each value is the average of AM and PM estimates and corrected for beam filling error. The equation used is: (AM PM)/2.0 * 1.8. Land pixels are set to -10.0. Also there are 33 pixels blocked out due to island contamination (-10.0). If the rain retrieval did not converge, a -10.0 is assigned to the pixel. The objective of this data set was to provide a long term monthly rainfall data set to be used in EOS global change and GEWEX related research. " proprietary
RAIN_JAEGER_1 Jaeger Monthly Mean Global Precipitation Climatology 2.5 x 5.0 degree V1 (RAIN_JEAGER) at GES DISC GES_DISC STAC Catalog 1931-01-01 1965-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1280859301-GES_DISC.umm_json The Jaeger Surface Rain Gauge Observations data set consists of gridded mean monthly global precipitation values for 1931 to 1960 over the continents and 1955 to 1965 over the oceans. In order to calculate monthly, seasonal, and annual variations of precipitation over the whole globe, both hemispheres, and various meridional zones, a gridding technique was used on data spanning 1931 to 1960 over the continents, and 1955 to 1965 over the oceans. For the continental regions, the grid point values were obtained as eye estimates from isopleth maps prepared from up-to-date climatic atlases containing annual and monthly rainfall values, supplemented by other data sets. Although it was initially intended to use data for the standard period 1931-1960, this did not prove possible for all regions. Moller's (1951) method for estimating rainfall frequencies was adopted to provide ocean precipitation data. Monthly percentage frequencies were extracted from the mapped isolines of the US Marine Climatic Atlas (US Naval Weather Service 1955-1965) and interpolated to the grid points. After re-expressing the monthly frequencies as annual percentages, the values were scaled to rainfall depth units using Geiger's (1965) precipitation map to yield monthly precipitation means. proprietary
@@ -12174,21 +12183,21 @@ RSFDCE_KLIM4 Absolute Minimum of Air Temperature. Year By Year Data SCIOPS STAC
RSFDCE_KLIM5 Air Temperature 01.00 P.M. Year By Year Date SCIOPS STAC Catalog 1881-01-01 1965-12-31 25, 23.21, -175, 71 https://cmr.earthdata.nasa.gov/search/concepts/C1214608673-SCIOPS.umm_json Hydrometeorological data on the conditions of the environment are held by the Russian State Fund of data. This dataset was created by West Subiria Computer Centre in 1977 and containes data from 1078 stations of the USSR. Data is currently stored on magnetic tape (800 bit/inch). proprietary
RSS18_AVIRIS_L1B_449_1 BOREAS RSS-18 Level 1B AVIRIS At-Sensor Radiance Imagery ORNL_CLOUD STAC Catalog 1996-08-14 1996-08-14 -106.49, 53.45, -105.03, 54.32 https://cmr.earthdata.nasa.gov/search/concepts/C2929128157-ORNL_CLOUD.umm_json This dataset holds Level 1B (L1B) radiance data collected by the AVIRIS-Classic instrument near Prince Albert, Saskatchewan, Canada, on August 14, 1996. This imagery was acquired for the Boreal Ecosystem-Atmosphere Study (BOREAS) project in the boreal forests of central Canada. BOREAS focused on improving the understanding of exchanges of radiative energy, sensible heat, water, CO2 and trace gases between the boreal forest and the lower atmosphere. NASA's AVIRIS-Classic is a pushbroom spectral mapping system with high signal-to-noise ratio (SNR), designed and toleranced for high performance spectroscopy. AVIRIS-Classic measures reflected radiance in 224 contiguous bands at approximately 10-nm intervals in the Visible to Shortwave Infrared (VSWIR) spectral range from 400-2500 nm. The AVIRIS-Classic sensor has a 1 milliradian instantaneous field of view, providing altitude dependent ground sampling distances from 20 m to sub meter range. For these data, AVIRIS-Classic was deployed on NASA's ER-2 high altitude aircraft. These spectra are acquired as images with 20-meter spatial resolution, 11 km swath width, and flight lines up to 800 km in length. The measurements are spectrally, radiometrically, and geometrically calibrated. There are seven flight lines subdivided into 66 scenes. The dataset includes the radiance imagery cube for each scene along with calibration and navigation information. The radiance data are in instrument coordinates, georeferenced by center of each scan line, and provided in a binary file. Metadata are included in a mixture of binary and text file formats. proprietary
RSS_WindSat_L1C_TB_V08.0_8.0 RSS WindSat L1C Calibrated TB Version 8 POCLOUD STAC Catalog 2003-02-01 2020-10-19 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2559430954-POCLOUD.umm_json The WindSat Polarimetric Radiometer, launched on January 6, 2003 aboard the Department of Defense Coriolis satellite, was designed to measure the ocean surface wind vector from space. It developed by the Naval Research Laboratory (NRL) Remote Sensing Division and the Naval Center for Space Technology for the U.S. Navy and the National Polar-orbiting Operational Environmental Satellite System (NPOESS) Integrated Program Office (IPO). The dataset contains the Level 1C WindSat Top of the Atmosphere (TOA) TB processed by RSS. The WindSat radiances are turned into TOA TB after correction for hot and cold calibration anomalies, receiver non-linearities, sensor pointing errors, antenna cross-polarization contamination, spillover, Faraday rotation and polarization alignment. The data are resampled on a fixed regular 0.125 deg Earth grid using Backus-Gilbert Optimum Interpolation. The sampling is done separately for fore and aft looks. The 10.7, 18.7, 23.8, 37.0 GHz channels are resampled to the 10.7 GHz spatial resolution. The 6.8 GHz channels are given at their native spatial resolution. The 10.7, 18.7, 23.8, 37.0 GHz channels are absolutely calibrated using the GMI sensor as calibration reference. The 6.8 GHz channels are calibrated using the open ocean with the RSS ocean emission model and the Amazon rain forest as calibration targets. The Faraday rotation angle (FRA) and geometric polarization basis rotation angle (PRA) were added in the last run. proprietary
-Radarsat-2_NA RADARSAT-2 ESA Archive ESA STAC Catalog 2008-07-27 2021-04-11 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689631-ESA.umm_json The RADARSAT-2 ESA archive collection consists of RADARSAT-2 products requested by ESA supported projects over their areas of interest around the world. The dataset regularly grows as ESA collects new products over the years. Following Beam modes are available: Standard, Wide Swath, Fine Resolution, Extended Low Incidence, Extended High Incidence, ScanSAR Narrow and ScanSAR Wide. Standard Beam Mode allows imaging over a wide range of incidence angles with a set of image quality characteristics which provides a balance between fine resolution and wide coverage, and between spatial and radiometric resolutions. Standard Beam Mode operates with any one of eight beams, referred to as S1 to S8, in single and dual polarisation . The nominal incidence angle range covered by the full set of beams is 20 degrees (at the inner edge of S1) to 52 degrees (at the outer edge of S8). Each individual beam covers a nominal ground swath of 100 km within the total standard beam accessibility swath of more than 500 km. BEAM MODE: Standard PRODUCT: SLC, SGX, SGF, SSG, SPG Nominal Pixel Spacing - Range x Azimuth (m) : 8.0 or 11.8 x 5.1 (SLC), 8.0 x 8.0 (SGX), 12.5 x 12.5 (SSG, SPG) Resolution - Range x Azimuth (m): 9.0 or 13.5 x 7.7 (SLC), 26.8 - 17.3 x 24.7 (SGX, SGF, SSG, SPG) Nominal Scene Size - Range x Azimuth (km): 100 x 100 Range of Angle of Incidence (deg): 20 - 52 No. of Looks - Range x Azimuth: 1 x 1 (SLC), 1 x 4 (SGX, SGF, SSG, SPG) Polarisations - Options: • Single: HH or VV or HV or VH • Dual: HH + HV or VV + VH Wide Swath Beam Mode allows imaging of wider swaths than Standard Beam Mode, but at the expense of slightly coarser spatial resolution. The three Wide Swath beams, W1, W2 and W3, provide coverage of swaths of approximately 170 km, 150 km and 130 km in width respectively, and collectively span a total incidence angle range from 20 degrees to 45 degrees. Polarisation can be single and dual. BEAM MODE: Wide PRODUCT: SLC, SGX, SGF, SSG, SPG Nominal Pixel Spacing - Range x Azimuth (m) : 11.8 x 5.1 (SLC), 10 x 10 (SGX), 12.5 x 12.5 (SSG, SPG) Resolution - Range x Azimuth (m): 13.5 x 7.7 (SLC), 40.0 - 19.2 x 24.7 (SGX, SGF, SSG, SPG) Nominal Scene Size - Range x Azimuth (km): 150 x 150 Range of Angle of Incidence (deg): 20 - 45 No. of Looks - Range x Azimuth: 1 x 1 (SLC), 1 x 4 (SGX, SGF, SSG, SPG) Polarisations - Options: • Single: HH or VV or HV or VH • Dual: HH + HV or VV + VH Fine Resolution Beam Mode is intended for applications which require finer spatial resolution. Products from this beam mode have a nominal ground swath of 50 km. Nine Fine Resolution physical beams, F23 to F21, and F1 to F6 are available to cover the incidence angle range from 30 to 50 degrees. For each of these beams, the swath can optionally be centred with respect to the physical beam or it can be shifted slightly to the near or far range side. Thanks to these additional swath positioning choices, overlaps of more than 50% are provided between adjacent swaths. RADARSAT-2 can operate in single and dual polarisation for this beam mode. BEAM MODE: Fine PRODUCT: SLC, SGX, SGF, SSG, SPG Nominal Pixel Spacing - Range x Azimuth (m) : 4.7 x 5.1 (SLC), 3.13 x 3.13 (SGX), 6.25 x 6.25 (SSG, SPG) Resolution - Range x Azimuth (m): 5.2 x 7.7 (SLC), 10.4 - 6.8 x 7.7 (SGX, SGF, SSG, SPG) Nominal Scene Size - Range x Azimuth (km): 50 x 50 Range of Angle of Incidence (deg): 30 - 50 No. of Looks - Range x Azimuth: 1 x 1 (SLC,SGX, SGF, SSG, SPG) Polarisations - Options: • Single: HH or VV or HV or VH • Dual: HH + HV or VV + VH In the Extended Low Incidence Beam Mode, a single Extended Low Incidence Beam, EL1, is provided for imaging in the incidence angle range from 10 to 23 degrees with a nominal ground swath coverage of 170 km. Some minor degradation of image quality can be expected due to operation of the antenna beyond its optimum scan angle range. Only single polarisation is available. BEAM MODE: Extended Low PRODUCT: SLC, SGX, SGF, SSG, SPG Nominal Pixel Spacing - Range x Azimuth (m) : 8.0 x 5.1 (SLC), 10.0 x 10.0 (SGX), 12.5 x 12.5 (SSG, SPG) Nominal Resolution - Range x Azimuth (m): 9.0 x 7.7 (SLC), 52.7 - 23.3 x 24.7 (SGX, SGF, SSG, SPG) Nominal Scene Size - Range x Azimuth (km): 170 x 170 Range of Angle of Incidence (deg): 10 - 23 No. of Looks - Range x Azimuth: 1 x 1 (SLC), 1 x 4 (SGX, SGF, SSG, SPG) Polarisations - Options: Single Pol HH In the Extended High Incidence Beam Mode, six Extended High Incidence Beams, EH1 to EH6, are available for imaging in the 49 to 60 degree incidence angle range. Since these beams operate outside the optimum scan angle range of the SAR antenna, some degradation of image quality, becoming progressively more severe with increasing incidence angle, can be expected when compared with the Standard Beams. Swath widths are restricted to a nominal 80 km for the inner three beams, and 70 km for the outer beams. Only single polarisation available. BEAM MODE: Extended High PRODUCT: SLC, SGX, SGF, SSG, SPG Nominal Pixel Spacing - Range x Azimuth (m) : 11.8 x 5.1 (SLC), 8.0 x 8.0 (SGX), 12.5 x 12.5 (SSG, SPG) Resolution - Range x Azimuth (m): 13.5 x 7.7 (SLC), 18.2 - 15.9 x 24.7 (SGX, SGF, SSG, SPG) Nominal Scene Size - Range x Azimuth (km): 75 x 75 Range of Angle of Incidence (deg): 49 - 60 No. of Looks - Range x Azimuth: 1 x 1 (SLC), 1 x 4 (SGX, SGF, SSG, SPG) Polarisations - Options: Single Pol HH ScanSAR Narrow Beam Mode provides coverage of a ground swath approximately double the width of the Wide Swath Beam Mode swaths. Two swath positions with different combinations of physical beams can be used: SCNA, which uses physical beams W1 and W2, and SCNB, which uses physical beams W2, S5, and S6. Both options provide coverage of swath widths of about 300 km. The SCNA combination provides coverage over the incidence angle range from 20 to 39 degrees. The SCNB combination provides coverage over the incidence angle range 31 to 47 degrees. RADARSAT-2 can operate in single and dual polarisation for this beam mode. BEAM MODE: ScanSAR Narrow PRODUCT: SCN, SCF, SCS Nominal Pixel Spacing - Range x Azimuth (m) : 25 x 25 Nominal Resolution - Range x Azimuth (m):81-38 x 40-70 Nominal Scene Size - Range x Azimuth (km): 300 x 300 Range of Angle of Incidence (deg): 20 - 46 No. of Looks - Range x Azimuth: 2 x 2 Polarisations - Options: • Single Co or Cross: HH or VV or HV or VH • Dual: HH + HV or VV + VH ScanSAR Wide Beam Mode provides coverage of a ground swath approximately triple the width of the Wide Swath Beam Mode swaths. Two swath positions with different combinations of physical beams can be used: SCWA, which uses physical beams W1, W2, W3, and S7, and SCWB, which uses physical beams W1, W2, S5 and S6. The SCWA combination allows imaging of a swath of more than 500 km covering an incidence angle range of 20 to 49 degrees. The SCWB combination allows imaging of a swath of more than 450 km covering the incidence angle. Polarisation can be single and dual. BEAM MODE: ScanSAR Wide PRODUCT: SCW, SCF, SCS Nominal Pixel Spacing - Range x Azimuth (m) : 50 x 50 Resolution - Range x Azimuth (m): 163.0 - 73 x 78-106 Nominal Scene Size - Range x Azimuth (km): 500 x 500 Range of Angle of Incidence (deg): 20 - 49 No. of Looks - Range x Azimuth: 4 x 2 Polarisations - Options: • Single Co or Cross: HH or VV or HV or VH • Dual: HH + HV or VV + VH These are the different products : SLC (Single Look Complex): Amplitude and phase information is preserved. Data is in slant range. Georeferenced and aligned with the satellite track SGF (Path Image): Data is converted to ground range and may be multi-look processed. Scene is oriented in direction of orbit path. Georeferenced and aligned with the satellite track. SGX (Path Image Plus): Same as SGF except processed with refined pixel spacing as needed to fully encompass the image data bandwidths. Georeferenced and aligned with the satellite track SSG(Map Image): Image is geocorrected to a map projection. SPG (Precision Map Image): Image is geocorrected to a map projection. Ground control points (GCP) are used to improve positional accuracy. SCN(ScanSAR Narrow)/SCF(ScanSAR Wide) : ScanSAR Narrow/Wide beam mode product with original processing options and metadata fields (for backwards compatibility only). Georeferenced and aligned with the satellite track SCF (ScanSAR Fine): ScanSAR product equivalent to SGF with additional processing options and metadata fields. Georeferenced and aligned with the satellite track SCS(ScanSAR Sampled) : Same as SCF except with finer sampling. Georeferenced and aligned with the satellite track proprietary
+Radarsat-2_8.0 RADARSAT-2 ESA Archive ESA STAC Catalog 2008-07-27 2021-04-11 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689631-ESA.umm_json The RADARSAT-2 ESA archive collection consists of RADARSAT-2 products requested by ESA supported projects over their areas of interest around the world. The dataset regularly grows as ESA collects new products over the years. Following Beam modes are available: Standard, Wide Swath, Fine Resolution, Extended Low Incidence, Extended High Incidence, ScanSAR Narrow and ScanSAR Wide. Standard Beam Mode allows imaging over a wide range of incidence angles with a set of image quality characteristics which provides a balance between fine resolution and wide coverage, and between spatial and radiometric resolutions. Standard Beam Mode operates with any one of eight beams, referred to as S1 to S8, in single and dual polarisation . The nominal incidence angle range covered by the full set of beams is 20 degrees (at the inner edge of S1) to 52 degrees (at the outer edge of S8). Each individual beam covers a nominal ground swath of 100 km within the total standard beam accessibility swath of more than 500 km. BEAM MODE: Standard PRODUCT: SLC, SGX, SGF, SSG, SPG Nominal Pixel Spacing - Range x Azimuth (m) : 8.0 or 11.8 x 5.1 (SLC), 8.0 x 8.0 (SGX), 12.5 x 12.5 (SSG, SPG) Resolution - Range x Azimuth (m): 9.0 or 13.5 x 7.7 (SLC), 26.8 - 17.3 x 24.7 (SGX, SGF, SSG, SPG) Nominal Scene Size - Range x Azimuth (km): 100 x 100 Range of Angle of Incidence (deg): 20 - 52 No. of Looks - Range x Azimuth: 1 x 1 (SLC), 1 x 4 (SGX, SGF, SSG, SPG) Polarisations - Options: • Single: HH or VV or HV or VH • Dual: HH + HV or VV + VH Wide Swath Beam Mode allows imaging of wider swaths than Standard Beam Mode, but at the expense of slightly coarser spatial resolution. The three Wide Swath beams, W1, W2 and W3, provide coverage of swaths of approximately 170 km, 150 km and 130 km in width respectively, and collectively span a total incidence angle range from 20 degrees to 45 degrees. Polarisation can be single and dual. BEAM MODE: Wide PRODUCT: SLC, SGX, SGF, SSG, SPG Nominal Pixel Spacing - Range x Azimuth (m) : 11.8 x 5.1 (SLC), 10 x 10 (SGX), 12.5 x 12.5 (SSG, SPG) Resolution - Range x Azimuth (m): 13.5 x 7.7 (SLC), 40.0 - 19.2 x 24.7 (SGX, SGF, SSG, SPG) Nominal Scene Size - Range x Azimuth (km): 150 x 150 Range of Angle of Incidence (deg): 20 - 45 No. of Looks - Range x Azimuth: 1 x 1 (SLC), 1 x 4 (SGX, SGF, SSG, SPG) Polarisations - Options: • Single: HH or VV or HV or VH • Dual: HH + HV or VV + VH Fine Resolution Beam Mode is intended for applications which require finer spatial resolution. Products from this beam mode have a nominal ground swath of 50 km. Nine Fine Resolution physical beams, F23 to F21, and F1 to F6 are available to cover the incidence angle range from 30 to 50 degrees. For each of these beams, the swath can optionally be centred with respect to the physical beam or it can be shifted slightly to the near or far range side. Thanks to these additional swath positioning choices, overlaps of more than 50% are provided between adjacent swaths. RADARSAT-2 can operate in single and dual polarisation for this beam mode. BEAM MODE: Fine PRODUCT: SLC, SGX, SGF, SSG, SPG Nominal Pixel Spacing - Range x Azimuth (m) : 4.7 x 5.1 (SLC), 3.13 x 3.13 (SGX), 6.25 x 6.25 (SSG, SPG) Resolution - Range x Azimuth (m): 5.2 x 7.7 (SLC), 10.4 - 6.8 x 7.7 (SGX, SGF, SSG, SPG) Nominal Scene Size - Range x Azimuth (km): 50 x 50 Range of Angle of Incidence (deg): 30 - 50 No. of Looks - Range x Azimuth: 1 x 1 (SLC,SGX, SGF, SSG, SPG) Polarisations - Options: • Single: HH or VV or HV or VH • Dual: HH + HV or VV + VH In the Extended Low Incidence Beam Mode, a single Extended Low Incidence Beam, EL1, is provided for imaging in the incidence angle range from 10 to 23 degrees with a nominal ground swath coverage of 170 km. Some minor degradation of image quality can be expected due to operation of the antenna beyond its optimum scan angle range. Only single polarisation is available. BEAM MODE: Extended Low PRODUCT: SLC, SGX, SGF, SSG, SPG Nominal Pixel Spacing - Range x Azimuth (m) : 8.0 x 5.1 (SLC), 10.0 x 10.0 (SGX), 12.5 x 12.5 (SSG, SPG) Nominal Resolution - Range x Azimuth (m): 9.0 x 7.7 (SLC), 52.7 - 23.3 x 24.7 (SGX, SGF, SSG, SPG) Nominal Scene Size - Range x Azimuth (km): 170 x 170 Range of Angle of Incidence (deg): 10 - 23 No. of Looks - Range x Azimuth: 1 x 1 (SLC), 1 x 4 (SGX, SGF, SSG, SPG) Polarisations - Options: Single Pol HH In the Extended High Incidence Beam Mode, six Extended High Incidence Beams, EH1 to EH6, are available for imaging in the 49 to 60 degree incidence angle range. Since these beams operate outside the optimum scan angle range of the SAR antenna, some degradation of image quality, becoming progressively more severe with increasing incidence angle, can be expected when compared with the Standard Beams. Swath widths are restricted to a nominal 80 km for the inner three beams, and 70 km for the outer beams. Only single polarisation available. BEAM MODE: Extended High PRODUCT: SLC, SGX, SGF, SSG, SPG Nominal Pixel Spacing - Range x Azimuth (m) : 11.8 x 5.1 (SLC), 8.0 x 8.0 (SGX), 12.5 x 12.5 (SSG, SPG) Resolution - Range x Azimuth (m): 13.5 x 7.7 (SLC), 18.2 - 15.9 x 24.7 (SGX, SGF, SSG, SPG) Nominal Scene Size - Range x Azimuth (km): 75 x 75 Range of Angle of Incidence (deg): 49 - 60 No. of Looks - Range x Azimuth: 1 x 1 (SLC), 1 x 4 (SGX, SGF, SSG, SPG) Polarisations - Options: Single Pol HH ScanSAR Narrow Beam Mode provides coverage of a ground swath approximately double the width of the Wide Swath Beam Mode swaths. Two swath positions with different combinations of physical beams can be used: SCNA, which uses physical beams W1 and W2, and SCNB, which uses physical beams W2, S5, and S6. Both options provide coverage of swath widths of about 300 km. The SCNA combination provides coverage over the incidence angle range from 20 to 39 degrees. The SCNB combination provides coverage over the incidence angle range 31 to 47 degrees. RADARSAT-2 can operate in single and dual polarisation for this beam mode. BEAM MODE: ScanSAR Narrow PRODUCT: SCN, SCF, SCS Nominal Pixel Spacing - Range x Azimuth (m) : 25 x 25 Nominal Resolution - Range x Azimuth (m):81-38 x 40-70 Nominal Scene Size - Range x Azimuth (km): 300 x 300 Range of Angle of Incidence (deg): 20 - 46 No. of Looks - Range x Azimuth: 2 x 2 Polarisations - Options: • Single Co or Cross: HH or VV or HV or VH • Dual: HH + HV or VV + VH ScanSAR Wide Beam Mode provides coverage of a ground swath approximately triple the width of the Wide Swath Beam Mode swaths. Two swath positions with different combinations of physical beams can be used: SCWA, which uses physical beams W1, W2, W3, and S7, and SCWB, which uses physical beams W1, W2, S5 and S6. The SCWA combination allows imaging of a swath of more than 500 km covering an incidence angle range of 20 to 49 degrees. The SCWB combination allows imaging of a swath of more than 450 km covering the incidence angle. Polarisation can be single and dual. BEAM MODE: ScanSAR Wide PRODUCT: SCW, SCF, SCS Nominal Pixel Spacing - Range x Azimuth (m) : 50 x 50 Resolution - Range x Azimuth (m): 163.0 - 73 x 78-106 Nominal Scene Size - Range x Azimuth (km): 500 x 500 Range of Angle of Incidence (deg): 20 - 49 No. of Looks - Range x Azimuth: 4 x 2 Polarisations - Options: • Single Co or Cross: HH or VV or HV or VH • Dual: HH + HV or VV + VH These are the different products : SLC (Single Look Complex): Amplitude and phase information is preserved. Data is in slant range. Georeferenced and aligned with the satellite track SGF (Path Image): Data is converted to ground range and may be multi-look processed. Scene is oriented in direction of orbit path. Georeferenced and aligned with the satellite track. SGX (Path Image Plus): Same as SGF except processed with refined pixel spacing as needed to fully encompass the image data bandwidths. Georeferenced and aligned with the satellite track SSG(Map Image): Image is geocorrected to a map projection. SPG (Precision Map Image): Image is geocorrected to a map projection. Ground control points (GCP) are used to improve positional accuracy. SCN(ScanSAR Narrow)/SCF(ScanSAR Wide) : ScanSAR Narrow/Wide beam mode product with original processing options and metadata fields (for backwards compatibility only). Georeferenced and aligned with the satellite track SCF (ScanSAR Fine): ScanSAR product equivalent to SGF with additional processing options and metadata fields. Georeferenced and aligned with the satellite track SCS(ScanSAR Sampled) : Same as SCF except with finer sampling. Georeferenced and aligned with the satellite track proprietary
Radial_Growth_PRI_1781_1 ABoVE: Photochemical Reflectance and Tree Growth, Brooks Range, Alaska, 2018-2019 ORNL_CLOUD STAC Catalog 2018-05-01 2019-09-13 -149.76, 67.97, -149.72, 68.02 https://cmr.earthdata.nasa.gov/search/concepts/C2143401854-ORNL_CLOUD.umm_json This dataset provides simultaneous in-situ measurements of the photochemical reflectance index (PRI) and radial tree growth of selected white spruce trees (Picea glauca (Moench) Voss) at the northern treeline in the Brooks Range of Alaska, south of Chandalar Shelf and Atigun Pass on the east side of the Dalton Highway. PRI and dendrometer measurements were simultaneously collected on 29 trees from six plots spaced along a 5.5 km transect from south to north where tree density becomes increasingly sparse. Measurements were made throughout the 2018 and 2019 growing seasons (May 1 to September 15) with a sampling interval of 5 minutes. The data were collected to better understand the suitability of the PRI to remotely track radial tree growth dynamics. proprietary
Rain-on-Snow_Data_1611_1 ABoVE: Rain-on-Snow Frequency and Distribution during Cold Seasons, Alaska, 2003-2016 ORNL_CLOUD STAC Catalog 2002-11-01 2016-12-31 -175.4, 48.62, -111.54, 73.85 https://cmr.earthdata.nasa.gov/search/concepts/C2162145449-ORNL_CLOUD.umm_json This dataset provides maps of rain-on-snow (ROS) events across Alaska for the individual months of November to March 2002-2011 and November to March 2012-2016, and annual water year summary maps for 2003-2011 and 2013-2016. ROS events were defined as changes in passive microwave (PM) detection in surface snow wetness and isothermal states induced by atmospheric processes often associated with winter rainfall. The data are summations of the number of days with ROS events per pixel at 6-km spatial resolution per month or per 5-month water year. The daily ROS record encompassed the months when snowmelt from solar irradiance is minimal and snow cover is widespread and relatively consistent throughout the region. Daily ROS geospatial classification across Alaska was derived by combining snow cover and daily microwave brightness temperature retrievals sensitive to landscape freeze-thaw dynamics from overlapping (1) Moderate Resolution Imaging Spectroradiometer (MODIS) MOD10A2 eight-day maximum snow cover extent (SCE) product and (2) Advanced Microwave Scanning Radiometer for EOS (AMSR-E) (2002-2011) and the Advanced Microwave Scanning Radiometer 2 (AMSR2) (2012-to present) Microwave Radiation Imager (MWRI) observations at 19 GHz and 37 GHz. proprietary
-RapidEye.ESA.archive_NA RapidEye ESA archive ESA STAC Catalog 2009-02-22 -180, -84, 180, 84 https://cmr.earthdata.nasa.gov/search/concepts/C1965336937-ESA.umm_json The RapidEye ESA archive is a subset of the RapidEye Full archive that ESA collected over the years. The dataset regularly grows as ESA collects new RapidEye products. proprietary
-RapidEye.Full.archive_NA RapidEye Full Archive ESA STAC Catalog 2009-02-01 2020-03-31 -180, -84, 180, 84 https://cmr.earthdata.nasa.gov/search/concepts/C2547572717-ESA.umm_json The RapidEye Level 3A Ortho Tile, both Visual (in natural colour) and Analytic (multispectral), full archive and new tasking products are available as part of Planet imagery offer. The RapidEye Ortho Tile product (L3A) is radiometric, sensor and geometrically corrected (by using DEMs with a post spacing of between 30 and 90 meters) and aligned to a cartographic map projection. Ground Control Points (GCPs) are used in the creation of every image and the accuracy of the product will vary from region to region based on available GCPs. Product Components and Format: • Image File – GeoTIFF file that contains image data and geolocation information • Metadata File – XML format metadata file • Unusable Data Mask (UDM) file – GeoTIFF format Bands: 3-band natural color (blue, green, red) or 5-band multispectral image (blue, green, red, red edge, near-infrared) Ground Sampling Distance (nadir): 6.5 m at nadir (average at reference altitude 475 km) Projection: UTM WGS84 Accuracy: depends on the quality of the reference data used (GCPs and DEMs) The products are available as part of the Planet provision from RapidEye, Skysat and PlanetScope constellations.RapidEye collection has worldwide coverage: the Planet Explorer Catalogue (https://www.planet.com/explorer/) can be accessed (Planet registration requested) to discover and check the data readiness. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability (https://earth.esa.int/eogateway/documents/20142/37627/Access-to-ESAs-Planet-Missions-Terms-of-Applicability.pdf). proprietary
-RapidEye.South.America_NA RapidEye South America ESA STAC Catalog 2012-07-12 2015-12-13 -81, -41, 54, 1 https://cmr.earthdata.nasa.gov/search/concepts/C1965336940-ESA.umm_json ESA, in collaboration with BlackBridge, has collected this RapidEye dataset of level 3A tiles covering more than 6 million km2 of South American countries: Paraguay, Ecuador, Chile, Bolivia, Peru, Uruguay and Argentina. The area is fully covered with low cloud coverage proprietary
-RapidEye.time.series.for.Sentinel-2_NA RapidEye time series for Sentinel-2 ESA STAC Catalog 2013-02-06 2015-08-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336941-ESA.umm_json The European Space Agency, in collaboration with BlackBridge collected 2 time series datasets with a 5 day revisit at high resolution: • February to June 2013 over 14 selected sites around the world • April to September 2015 over 10 selected sites around the world The RapidEye Earth Imaging System provides data at 5 m spatial resolution (multispectral L3A orthorectified). The products are radiometrically and sensor corrected similar to the 1B Basic product, but have geometric corrections applied to the data during orthorectification using DEMs and GCPs. The product accuracy depends on the quality of the ground control and DEMs used. The imagery is delivered in GeoTIFF format with a pixel spacing of 5 metres. The dataset is composed of data over: • 14 selected sites in 2013: Argentina, Belgium, Chesapeake Bay, China, Congo, Egypt, Ethiopia, Gabon, Jordan, Korea, Morocco, Paraguay, South Africa and Ukraine. • 10 selected sites in 2015: Limburgerhof, Railroad Valley, Libya4, Algeria4, Figueres, Libya1, Mauritania1, Barrax, Esrin, Uyuni Salt Lake. proprietary
+RapidEye.ESA.archive_7.0 RapidEye ESA archive ESA STAC Catalog 2009-02-22 -180, -84, 180, 84 https://cmr.earthdata.nasa.gov/search/concepts/C1965336937-ESA.umm_json The RapidEye ESA archive is a subset of the RapidEye Full archive that ESA collected over the years. The dataset regularly grows as ESA collects new RapidEye products. proprietary
+RapidEye.Full.archive_6.0 RapidEye Full Archive ESA STAC Catalog 2009-02-01 2020-03-31 -180, -84, 180, 84 https://cmr.earthdata.nasa.gov/search/concepts/C2547572717-ESA.umm_json The RapidEye Level 3A Ortho Tile, both Visual (in natural colour) and Analytic (multispectral), full archive and new tasking products are available as part of Planet imagery offer. The RapidEye Ortho Tile product (L3A) is radiometric, sensor and geometrically corrected (by using DEMs with a post spacing of between 30 and 90 meters) and aligned to a cartographic map projection. Ground Control Points (GCPs) are used in the creation of every image and the accuracy of the product will vary from region to region based on available GCPs. Product Components and Format: • Image File – GeoTIFF file that contains image data and geolocation information • Metadata File – XML format metadata file • Unusable Data Mask (UDM) file – GeoTIFF format Bands: 3-band natural color (blue, green, red) or 5-band multispectral image (blue, green, red, red edge, near-infrared) Ground Sampling Distance (nadir): 6.5 m at nadir (average at reference altitude 475 km) Projection: UTM WGS84 Accuracy: depends on the quality of the reference data used (GCPs and DEMs) The products are available as part of the Planet provision from RapidEye, Skysat and PlanetScope constellations.RapidEye collection has worldwide coverage: the Planet Explorer Catalogue (https://www.planet.com/explorer/) can be accessed (Planet registration requested) to discover and check the data readiness. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability (https://earth.esa.int/eogateway/documents/20142/37627/Access-to-ESAs-Planet-Missions-Terms-of-Applicability.pdf). proprietary
+RapidEye.South.America_6.0 RapidEye South America ESA STAC Catalog 2012-07-12 2015-12-13 -81, -41, 54, 1 https://cmr.earthdata.nasa.gov/search/concepts/C1965336940-ESA.umm_json ESA, in collaboration with BlackBridge, has collected this RapidEye dataset of level 3A tiles covering more than 6 million km2 of South American countries: Paraguay, Ecuador, Chile, Bolivia, Peru, Uruguay and Argentina. The area is fully covered with low cloud coverage proprietary
+RapidEye.time.series.for.Sentinel-2_6.0 RapidEye time series for Sentinel-2 ESA STAC Catalog 2013-02-06 2015-08-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336941-ESA.umm_json The European Space Agency, in collaboration with BlackBridge collected 2 time series datasets with a 5 day revisit at high resolution: • February to June 2013 over 14 selected sites around the world • April to September 2015 over 10 selected sites around the world The RapidEye Earth Imaging System provides data at 5 m spatial resolution (multispectral L3A orthorectified). The products are radiometrically and sensor corrected similar to the 1B Basic product, but have geometric corrections applied to the data during orthorectification using DEMs and GCPs. The product accuracy depends on the quality of the ground control and DEMs used. The imagery is delivered in GeoTIFF format with a pixel spacing of 5 metres. The dataset is composed of data over: • 14 selected sites in 2013: Argentina, Belgium, Chesapeake Bay, China, Congo, Egypt, Ethiopia, Gabon, Jordan, Korea, Morocco, Paraguay, South Africa and Ukraine. • 10 selected sites in 2015: Limburgerhof, Railroad Valley, Libya4, Algeria4, Figueres, Libya1, Mauritania1, Barrax, Esrin, Uyuni Salt Lake. proprietary
Rauer_Group_Geomorphic_Map_1 Geomorphic map of Rauer Group AU_AADC STAC Catalog 2007-03-01 2007-05-31 77.55207, -68.92345, 77.98603, -68.738464 https://cmr.earthdata.nasa.gov/search/concepts/C1214313711-AU_AADC.umm_json The GIS data was produced following a three week expedition to the region onboard the Alfred Wegener Institute research vessel Polarstern (cruise ANT-XXIII/9) in 2007, and subsequent analysis of aerial and field photography on return to Australia. The results are discussed in the expedition report and the following manuscripts. Cosmogenic exposure samples that will further constrain the age of ice retreat in the region are expected to be finalised during 2012. The data are intended to accompany existing polygons that detail the lakes, bedrock and penguin breeding sites (i.e. areas of biogenic sediment) from the area that are already present in the AAD digital database. See the word document in the download file for further information. proprietary
RdlP_PT_0 Remote sensing in the Rio de la Plata estuary near Punta del Tigre OB_DAAC STAC Catalog 2018-01-01 2021-05-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2108362436-OB_DAAC.umm_json Measurements in the north coast of the Rio de la Plata estuary, near Punta del Tigre, San Jose proprietary
ReSALT_ALT_GPR_1265_1 Pre-ABoVE: Ground-penetrating Radar Measurements of ALT on the Alaska North Slope ORNL_CLOUD STAC Catalog 2014-08-10 2014-08-15 -149.5, 68.4, -148.7, 69.15 https://cmr.earthdata.nasa.gov/search/concepts/C2170968277-ORNL_CLOUD.umm_json This data set includes estimates of permafrost Active Layer Thickness (ALT; cm), and calculated uncertainties, derived using a ground-penetrating radar (GPR) system in the field in August 2014 near Toolik Lake and Happy Valley on the North Slope of Alaska. GPR measurements were taken along 10 transects of varying length (approx. 1 to 7 km). Traditional ALT estimates from mechanical probing every 100 to 500 m along each transect are also included. These data are suitable for future studies of how ALT varies over relatively large geological features, such as hills and valleys, wetland areas, and drained lake basins. proprietary
ReSALT_InSAR_Barrow_1266_1 Pre-ABoVE: Remotely Sensed Active Layer Thickness, Barrow, Alaska, 2006-2011 ORNL_CLOUD STAC Catalog 2006-01-01 2011-12-31 -156.89, 71.2, -156.39, 71.35 https://cmr.earthdata.nasa.gov/search/concepts/C2170968517-ORNL_CLOUD.umm_json Active layer thickness (ALT) is a critical parameter for monitoring the status of permafrost that is typically measured at specific locations using probing, in situ temperature sensors, or other ground-based observations. The thickness of the active layer is the average annual thaw depth, in permafrost areas, due to solar heating of the surface. This data set includes the mean Remotely Sensed Active Layer Thickness (ReSALT) over years 2006 to 2011 for the region near Barrow, Alaska. The data were produced by an Interferometric Synthetic Aperture Radar (InSAR) technique that measures seasonal surface subsidence and infers ALT. ReSALT estimates were validated by comparison with ground-based ALT obtained using probing and Ground Penetrating Radar at multiple sites. These results indicate remote sensing techniques based on InSAR could be an effective way to measure and monitor ALT over large areas on the Arctic coastal plain.These data provide gridded (30-m) estimates of active layer thickness (cm; ALT) and seasonal subsidence (cm), as well as calculated uncertainty in each of these parameters. This data set was developed in support of NASA's Arctic-Boreal Vulnerability Experiment (ABoVE) field campaign.The data are presented in one netCDF (*.nc) file. proprietary
Reflectance_Spectra_Alaska_1685_1 ABoVE: Reflectance Spectra of Tundra Plant Communities across Northern Alaska ORNL_CLOUD STAC Catalog 2017-07-18 2018-08-14 -157.41, 65.43, -145.51, 71.35 https://cmr.earthdata.nasa.gov/search/concepts/C2143403427-ORNL_CLOUD.umm_json This dataset reports full-spectrum (350-2500 nm) reflectance measurements of diverse plant communities at the plot-level and individual plant species at the leaf-level, at multiple sites across northern Alaska during the 2017 and 2018 summer field seasons. Plot-level reflectance data (1 m2) include an assemblage of vascular and non-vascular species comprising tundra plant communities, while leaf-level scans are specific to one particular tundra species. Reflectance measurements were collected using a HR-1024i spectrometer and data were calibrated using a Spectralon white reference panel during sampling to correct for changing light conditions. Sampling methods and data and metadata structure follow that of the Ecological Spectral Information System (EcoSIS) Spectral Library. proprietary
RemSensPOC_0 Remote-sensing-derived particulate organic carbon (POC) validation OB_DAAC STAC Catalog 2013-08-26 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360629-OB_DAAC.umm_json Measurements taken for the purpose of validating remote-sensing-derived particulate organic carbon. proprietary
-ResourceSat-1-IRS-P6.archive_NA ResourceSat-1/IRS-P6 full archive ESA STAC Catalog 2003-11-01 2013-09-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336942-ESA.umm_json ResourceSat-1 (also known as IRS-P6) archive products are available as below. • LISS-IV MN: Mono-Chromatic, Resolution 5 m, Coverage 70 km x 70 km, Radiometrically and Ortho (DN) corrected, Acquisition in Neustrelitz 2004 - 2010, Global Archive 2003 - 2013 • LISS-III: Multi-spectral, Resolution 20 m, Coverage 140 km x 140 km, Radiometrically and Ortho (DN) corrected (ortho delivered without Band 5), Acquisition in Neustrelitz 2004 - 2013, Global Archive 2003 - 2013 • AWiFS: Multi-spectral, Resolution 60 m, Coverage 370 km x 370 km, Radiometrically and Ortho (DN) corrected, Acquisition in Neustrelitz 2004 - 2013, Global Archive 2003 - 2013 Note: • LISS-IV: Mono-Chromatic, the band is selectable. In practice the red is used. • For LISS-IV MN and LISS-III ortho corrected: If unavailable, user has to supply ground control information and DEM in suitable qualityFor AWiFS ortho corrected: service based on in house available ground control information and DEM The products are available as part of the GAF Imagery products from the Indian missions: IRS-1C, IRS-1D, CartoSat-1 (IRS-P5), ResourceSat-1 (IRS-P6) and ResourceSat-2 (IRS-R2) missions. ‘ResourceSat-1 archive’ collection has worldwide coverage: for data acquired over Neustrelitz footprint, the users can browse the EOWEB GeoPortal catalogue (http://www.euromap.de/products/serv_003.html) to search archived products; worldwide data (out the Neustrelitz footprint) can be requested by contacting GAF user support to check the readiness since no catalogue is not available. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability (https://earth.esa.int/eogateway/documents/20142/37627/Indian-Data-Terms-Of-Applicability.pdf). proprietary
-ResourceSat-2.archive.and.tasking_NA ResourceSat-2 full archive and tasking ESA STAC Catalog 2011-05-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336944-ESA.umm_json ResourceSat-2 (also known as IRS-R2) archive and tasking products are available as below: Sensor: LISS-IV Type: Mono-Chromatic Resolution (m): 5 Coverage (km x km): 70 x 70 System or radiometrically corrected and Ortho corrected (DN) Neustralitz archive: 2014 Global archive: 2011 Sensor: LISS-III Type: Multi-spectral Resolution (m): 20 Coverage (km x km): 140 x 140 System or radiometrically corrected, Ortho corrected (DN) and Ortho corrected (TOA reflectance) Neustralitz archive: 2014 Global archive: 2011 Sensor: AWiFS Type: Multi-spectral Resolution (m): 60 Coverage (km x km): 370 x 370 System or radiometrically corrected, Ortho corrected (DN) and Ortho corrected (TOA reflectance) Neustralitz archive: 2014 Global archive: 2011 Note: • LISS-IV: Mono-Chromatic, the band is selectable. In practice the red is used.For LISS-IV MN and LISS-III ortho corrected: If unavailable, user has to supply ground control information and DEM in suitable qualityFor AWiFS ortho corrected: service based on in house available ground control information and DEM The products are available as part of the GAF Imagery products from the Indian missions: IRS-1C, IRS-1D, CartoSat-1 (IRS-P5), ResourceSat-1 (IRS-P6) and ResourceSat-2 (IRS-R2) missions. ‘ResourceSat-2 archive and tasking’ collection has worldwide coverage: for data acquired over Neustrelitz footprint, the users can browse the EOWEB GeoPortal catalogue (http://www.euromap.de/products/serv_003.html) to search archived products; worldwide data (out the Neustrelitz footprint) can be requested by contacting GAF user support to check the readiness since no catalogue is not available. All details about the data provision, data access conditions and quota assignment procedure are described in the Terms of Applicability (https://earth.esa.int/eogateway/documents/20142/37627/Indian-Data-Terms-Of-Applicability.pdf). proprietary
+ResourceSat-1-IRS-P6.archive_6.0 ResourceSat-1/IRS-P6 full archive ESA STAC Catalog 2003-11-01 2013-09-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336942-ESA.umm_json ResourceSat-1 (also known as IRS-P6) archive products are available as below. • LISS-IV MN: Mono-Chromatic, Resolution 5 m, Coverage 70 km x 70 km, Radiometrically and Ortho (DN) corrected, Acquisition in Neustrelitz 2004 - 2010, Global Archive 2003 - 2013 • LISS-III: Multi-spectral, Resolution 20 m, Coverage 140 km x 140 km, Radiometrically and Ortho (DN) corrected (ortho delivered without Band 5), Acquisition in Neustrelitz 2004 - 2013, Global Archive 2003 - 2013 • AWiFS: Multi-spectral, Resolution 60 m, Coverage 370 km x 370 km, Radiometrically and Ortho (DN) corrected, Acquisition in Neustrelitz 2004 - 2013, Global Archive 2003 - 2013 Note: • LISS-IV: Mono-Chromatic, the band is selectable. In practice the red is used. • For LISS-IV MN and LISS-III ortho corrected: If unavailable, user has to supply ground control information and DEM in suitable qualityFor AWiFS ortho corrected: service based on in house available ground control information and DEM The products are available as part of the GAF Imagery products from the Indian missions: IRS-1C, IRS-1D, CartoSat-1 (IRS-P5), ResourceSat-1 (IRS-P6) and ResourceSat-2 (IRS-R2) missions. ‘ResourceSat-1 archive’ collection has worldwide coverage: for data acquired over Neustrelitz footprint, the users can browse the EOWEB GeoPortal catalogue (http://www.euromap.de/products/serv_003.html) to search archived products; worldwide data (out the Neustrelitz footprint) can be requested by contacting GAF user support to check the readiness since no catalogue is not available. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability (https://earth.esa.int/eogateway/documents/20142/37627/Indian-Data-Terms-Of-Applicability.pdf). proprietary
+ResourceSat-2.archive.and.tasking_6.0 ResourceSat-2 full archive and tasking ESA STAC Catalog 2011-05-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336944-ESA.umm_json ResourceSat-2 (also known as IRS-R2) archive and tasking products are available as below: Sensor: LISS-IV Type: Mono-Chromatic Resolution (m): 5 Coverage (km x km): 70 x 70 System or radiometrically corrected and Ortho corrected (DN) Neustralitz archive: 2014 Global archive: 2011 Sensor: LISS-III Type: Multi-spectral Resolution (m): 20 Coverage (km x km): 140 x 140 System or radiometrically corrected, Ortho corrected (DN) and Ortho corrected (TOA reflectance) Neustralitz archive: 2014 Global archive: 2011 Sensor: AWiFS Type: Multi-spectral Resolution (m): 60 Coverage (km x km): 370 x 370 System or radiometrically corrected, Ortho corrected (DN) and Ortho corrected (TOA reflectance) Neustralitz archive: 2014 Global archive: 2011 Note: • LISS-IV: Mono-Chromatic, the band is selectable. In practice the red is used.For LISS-IV MN and LISS-III ortho corrected: If unavailable, user has to supply ground control information and DEM in suitable qualityFor AWiFS ortho corrected: service based on in house available ground control information and DEM The products are available as part of the GAF Imagery products from the Indian missions: IRS-1C, IRS-1D, CartoSat-1 (IRS-P5), ResourceSat-1 (IRS-P6) and ResourceSat-2 (IRS-R2) missions. ‘ResourceSat-2 archive and tasking’ collection has worldwide coverage: for data acquired over Neustrelitz footprint, the users can browse the EOWEB GeoPortal catalogue (http://www.euromap.de/products/serv_003.html) to search archived products; worldwide data (out the Neustrelitz footprint) can be requested by contacting GAF user support to check the readiness since no catalogue is not available. All details about the data provision, data access conditions and quota assignment procedure are described in the Terms of Applicability (https://earth.esa.int/eogateway/documents/20142/37627/Indian-Data-Terms-Of-Applicability.pdf). proprietary
Respiration_622_1 Global Annual Soil Respiration Data (Raich and Schlesinger 1992) ORNL_CLOUD STAC Catalog 1963-01-01 1992-01-01 -156.4, -37.5, 146.5, 71.18 https://cmr.earthdata.nasa.gov/search/concepts/C2216863171-ORNL_CLOUD.umm_json This data set is a compilation of soil respiration rates (g C m-2 yr-1) from terrestrial and wetland ecosystems reported in the literature prior to 1992. These rates were measured in a variety of ecosystems to examine rates of microbial activity, nutrient turnover, carbon cycling, root dynamics, and a variety of other soil processes. Also included in the data set are biome type, vegetation type, locality, and geographic coordinates. proprietary
RiSCC_Outcomes_Bibliography_1 A bibliography containing references to the outcomes of the RiSCC project from the Antarctic and subantarctic regions AU_AADC STAC Catalog 1994-01-01 2006-12-31 -180, -70, 180, -50 https://cmr.earthdata.nasa.gov/search/concepts/C1214311230-AU_AADC.umm_json A bibliography of references relating to the outcomes of the RiSCC project (Regional Sensitivity to Climate Change in Antarctic Terrestrial Ecosystems) from the Antarctic and subantarctic regions, dating from 1994 to 2006. The bibliography was compiled by Dana Bergstrom, and contains 162 references. proprietary
RiSCC_Research_Support_Bibliography_1 A bibliography containing references to the research support of the RiSCC project from the Antarctic and subantarctic regions AU_AADC STAC Catalog 1875-01-01 2004-12-31 -180, -70, 180, -50 https://cmr.earthdata.nasa.gov/search/concepts/C1214311231-AU_AADC.umm_json A bibliography of references relating to the research support of the RiSCC project (Regional Sensitivity to Climate Change in Antarctic Terrestrial Ecosystems) from the Antarctic and subantarctic regions, dating from 1875 to 2004. The bibliography was compiled by Dana Bergstrom, and contains 76 references. proprietary
@@ -12301,10 +12310,10 @@ SAMSN7L1RAT_001 SAMS/Nimbus-7 Level 1 Radiance Data V001 (SAMSN7L1RAT) at GES DI
SAMSN7L3GRIDT_001 SAMS/Nimbus-7 Level 3 Gridded Retrieval Temperature Data V001 (SAMSN7L3GRIDT) at GES DISC GES_DISC STAC Catalog 1978-12-24 1983-06-09 -180, -50, 180, 70 https://cmr.earthdata.nasa.gov/search/concepts/C1959158936-GES_DISC.umm_json SAMSN7L3GRIDT is the Nimbus-7 Stratospheric and Mesospheric Sounder (SAMS) Level 3 Gridded Retrieval Temperature Data Product. The Earth's surface is divided into 2.5 deg latitude by 10 deg longitude grids that extend from 50 deg South to 67.5 deg North. The data are stored in two different record types. The first contains temperatures at all 62 retrieved pressure levels between 246 and 0.0012 mbar, and the second contains temperature and error values at 10 standard pressure levels: 100, 30, 10, 3, 1, 0.3, 0.1, 0.03, 0.01 and 0.003 mbar. The data were recovered from the original magnetic tapes, and are now stored online as daily files in their original proprietary binary format. The data for this product are available from 24 December 1978 through 9 June 1983. The principal investigators for the SAMS experiment were Prof. John T. Houghton and Dr. Fredric W. Taylor from Oxford University. This product was previously available from the NSSDC with the identifier ESAD-00016 (old ID 78-098A-02B). proprietary
SAMSN7L3ZMTG_001 SAMS/Nimbus-7 Level 3 Zonal Means Composition Data V001 (SAMSN7L3ZMTG) at GES DISC GES_DISC STAC Catalog 1979-01-01 1981-12-30 -180, -50, 180, 70 https://cmr.earthdata.nasa.gov/search/concepts/C1959158938-GES_DISC.umm_json SAMSN7L3ZMTG is the Nimbus-7 Stratospheric and Mesospheric Sounder (SAMS) Level 3 Zonal Means Composition Data Product. The Earth's surface is divided into 2.5-deg latitudinal zones that extend from 50 deg South to 67.5 deg North. Retrieved mixing ratios of nitrous oxide (N2O) and methane (CH4) are averaged over day and night, along with errors, at 31 pressure levels between 50 and 0.125 mbar. Because the N2O and CH4 channels cannot function simultaneously, only one type of measurement is made for any nominal day. The data were recovered from the original magnetic tapes, and are now stored online as one file in its original proprietary binary format. The data for this product are available from 1 January 1979 through 30 December 1981. The principal investigators for the SAMS experiment were Prof. John T. Houghton and Dr. Fredric W. Taylor from Oxford University. This product was previously available from the NSSDC with the identifier ESAD-00180 (old ID 78-098A-02C). proprietary
SAOCOM.data.products_NA SAOCOM data products ESA STAC Catalog 2019-02-01 -10, 30, 50, 80 https://cmr.earthdata.nasa.gov/search/concepts/C2547572357-ESA.umm_json This collection provides access to the SAOCOM products acquired in the ASI Zone of Exclusivity, that correspond mainly to the European territory plus the international waters in front of North Africa and the Middle East, archived and catalogued in the ASI/CONAE dissemination system. proprietary
-SAR_IMM_1P_NA ERS-1/2 SAR IM Medium Resolution L1 [SAR_IMM_1P] ESA STAC Catalog 1991-07-27 2011-07-04 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1965336945-ESA.umm_json "This ERS Medium Resolution strip-line product is generated from the Image Mode Level 0 Product. Strip-line image products contain image data for an entire segment, up to a maximum size of 10 minutes per product for IM mode. The processor concatenates together several sub-images called ""slices"" that were processed separately on a dataset-by-dataset basis in order to form the entire strip-line image. The product is processed to an approximately 150 m x 150 m resolution and has a radiometric resolution that is good enough for ice applications. This product has a lower spatial resolution than the SAR_IMP_1P and SAR_IMS_1P products. The SAR IM L0 full mission data archive has been bulk processed to Level 1 (SAR_IMM_1P) in Envisat format with the PF-ERS processor version 6.01. Product Characteristics: - Pixel size: 5 m (ground range – across track) x 75 m (azimuth – along track) - Scene area: 100 km (range) x at least 102.5 km - Scene Size: 1300 pixels (range) x at least 1350 lines (azimuth) - Pixel depth: 16 bits unsigned integer - Total product volume: at least 3.5 MB - Projection: Ground-range - Number of looks: 8 (azimuth) x 7 (range)" proprietary
-SAR_IMP_1P_NA ERS-1/2 SAR IM Precision L1 [SAR_IMP_1P] ESA STAC Catalog 1991-07-27 2011-07-04 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1532648151-ESA.umm_json The SAR Precision product is a multi-look (speckle-reduced), ground range image acquired in Image Mode. This product type is most applicable to users interested in remote sensing applications, but is also suitable for calibration purposes. The products are calibrated and corrected for the SAR antenna pattern and range-spreading loss. Radar backscatter can be derived from the products for geophysical modelling, but no correction is applied for terrain-induced radiometric effects. The images are not geocoded, and terrain distortion (foreshortening and layover) has not been removed. The numbering sequence relates to the satellite position and therefore differs between Ascending and Descending scenes. Product characteristics: - Pixel size: 12.5 m (range - across track) x 12.5 m (azimuth - along track) - Scene area: 100 km (range) x at least 102.5 km (azimuth) - Scene size: 8000 pixels range x at least 8200 lines (azimuth) - Pixel depth: 16 bits unsigned integer - Total product volume: 125 MBs - Projection: Ground-range - Number of looks: 3 proprietary
-SAR_IMS_1P_NA ERS-1/2 SAR IM Single Look Complex L1 [SAR_IMS_1P] ESA STAC Catalog 1991-07-27 2011-07-04 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1532648152-ESA.umm_json The SAR SLC product is a single look complex acquired in Image Mode. It is a digital image, with slant range and phase preserved, generated from raw SAR data using up-to-date auxiliary parameters. The products are intended for use in SAR quality assessment, calibration and interferometric applications. A minimum number of corrections and interpolations are performed on the data. Absolute calibration parameters (when available) are provided in the product annotation. Product characteristics: - Pixel size: 8 m (range - across track) x 4 m (azimuth - along track – varying slightly depending on acquisition Pulse Repetition Frequency) - Scene area: 100 km (range) x at least 102.5 km (azimuth) - Scene size: 5000 samples (range) x at least 30000 lines (azimuth) - Pixel depth: 32 bits signed integer (16 bits I, 16 bits Q) - Total product volume: 575 MB - Projection: Slant range - Number of looks: 1 proprietary
-SAR_IM_0P_NA ERS-1/2 SAR IM L0 [SAR_IM__0P] ESA STAC Catalog 1991-07-27 2011-07-04 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1965336946-ESA.umm_json This SAR Level 0 product is acquired in Image Mode. The products consist of the SAR telemetry data and are supplied as standard scenes. It also contains all the required auxiliary data necessary for data processing. The product serves two main purposes: For testing ERS SAR processors independently from the HDDR system For users interested in full SAR data processing. Product characteristics: - Scene area: 100 km (range - across track) x full segment length (azimuth - along track) - Scene size: 5616 samples (range) x full segment length (azimuth) - Pixel depth: 10 bits signed integer (5 bits I, 5 bits Q) - Projection: Slant range proprietary
+SAR_IMM_1P_10.0 ERS-1/2 SAR IM Medium Resolution L1 [SAR_IMM_1P] ESA STAC Catalog 1991-07-27 2011-07-04 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1965336945-ESA.umm_json This ERS Medium Resolution strip-line product is generated from the Image Mode Level 0 Product. Strip-line image products contain image data for an entire segment, up to a maximum size of 10 minutes per product for IM mode. The processor concatenates together several sub-images called "slices" that were processed separately on a dataset-by-dataset basis in order to form the entire strip-line image. The product is processed to an approximately 150 m x 150 m resolution and has a radiometric resolution that is good enough for ice applications. This product has a lower spatial resolution than the SAR_IMP_1P and SAR_IMS_1P products. The SAR IM L0 full mission data archive has been bulk processed to Level 1 (SAR_IMM_1P) in Envisat format with the PF-ERS processor version 6.01. Product Characteristics: - Pixel size: 5 m (ground range – across track) x 75 m (azimuth – along track) - Scene area: 100 km (range) x at least 102.5 km - Scene Size: 1300 pixels (range) x at least 1350 lines (azimuth) - Pixel depth: 16 bits unsigned integer - Total product volume: at least 3.5 MB - Projection: Ground-range - Number of looks: 8 (azimuth) x 7 (range) proprietary
+SAR_IMP_1P_8.0 ERS-1/2 SAR IM Precision L1 [SAR_IMP_1P] ESA STAC Catalog 1991-07-27 2011-07-04 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1532648151-ESA.umm_json The SAR Precision product is a multi-look (speckle-reduced), ground range image acquired in Image Mode. This product type is most applicable to users interested in remote sensing applications, but is also suitable for calibration purposes. The products are calibrated and corrected for the SAR antenna pattern and range-spreading loss. Radar backscatter can be derived from the products for geophysical modelling, but no correction is applied for terrain-induced radiometric effects. The images are not geocoded, and terrain distortion (foreshortening and layover) has not been removed. The numbering sequence relates to the satellite position and therefore differs between Ascending and Descending scenes. Product characteristics: - Pixel size: 12.5 m (range - across track) x 12.5 m (azimuth - along track) - Scene area: 100 km (range) x at least 102.5 km (azimuth) - Scene size: 8000 pixels range x at least 8200 lines (azimuth) - Pixel depth: 16 bits unsigned integer - Total product volume: 125 MBs - Projection: Ground-range - Number of looks: 3 proprietary
+SAR_IMS_1P_8.0 ERS-1/2 SAR IM Single Look Complex L1 [SAR_IMS_1P] ESA STAC Catalog 1991-07-27 2011-07-04 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1532648152-ESA.umm_json The SAR SLC product is a single look complex acquired in Image Mode. It is a digital image, with slant range and phase preserved, generated from raw SAR data using up-to-date auxiliary parameters. The products are intended for use in SAR quality assessment, calibration and interferometric applications. A minimum number of corrections and interpolations are performed on the data. Absolute calibration parameters (when available) are provided in the product annotation. Product characteristics: - Pixel size: 8 m (range - across track) x 4 m (azimuth - along track – varying slightly depending on acquisition Pulse Repetition Frequency) - Scene area: 100 km (range) x at least 102.5 km (azimuth) - Scene size: 5000 samples (range) x at least 30000 lines (azimuth) - Pixel depth: 32 bits signed integer (16 bits I, 16 bits Q) - Total product volume: 575 MB - Projection: Slant range - Number of looks: 1 proprietary
+SAR_IM_0P_9.0 ERS-1/2 SAR IM L0 [SAR_IM__0P] ESA STAC Catalog 1991-07-27 2011-07-04 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1965336946-ESA.umm_json This SAR Level 0 product is acquired in Image Mode. The products consist of the SAR telemetry data and are supplied as standard scenes. It also contains all the required auxiliary data necessary for data processing. The product serves two main purposes: For testing ERS SAR processors independently from the HDDR system For users interested in full SAR data processing. Product characteristics: - Scene area: 100 km (range - across track) x full segment length (azimuth - along track) - Scene size: 5616 samples (range) x full segment length (azimuth) - Pixel depth: 10 bits signed integer (5 bits I, 5 bits Q) - Projection: Slant range proprietary
SAR_Methane_Ebullition_AK_1790_1 ABoVE: SAR-based Methane Ebullition Flux from Lakes, Five Regions, Alaska, 2007-2010 ORNL_CLOUD STAC Catalog 2007-11-13 2010-11-11 -165.17, 64.44, -147.37, 71.35 https://cmr.earthdata.nasa.gov/search/concepts/C2143401901-ORNL_CLOUD.umm_json This dataset provides Synthetic Aperture Radar (SAR) estimates of lake-source methane ebullition flux in mg CH4/m2/d for thousands of lakes in five regions across Alaska. The study regions include the Atqasuk, Barrow Peninsula, Fairbanks, northern Seward Peninsula, and Toolik. L-band SAR backscatter values for early winter lake ice scenes were collected from 2007 to 2010 over 5,143 lakes using the Phased Array type L-band Synthetic Aperture Radar (PALSAR) instrument on the Advanced Land Observing Satellite (ALOS-1) satellite. The backscatter data were combined with field measurements of methane ebullition from 48 study lakes across the five regions to obtain a volumetric flux estimate for each lake. Mean methane gas-fractions from each region were applied to the SAR-based volumetric fluxes to obtain an estimate of methane ebullition mass flux per lake. The data files contain lake perimeters and the lake-specific attributes of lake area, SAR backscatter values and standard errors, volumetric flux with standard errors, mean percent of methane from gas samples, and methane ebullition mass flux. proprietary
SASSIE_L1_SWIFT_V1_1 SASSIE Arctic Field Campaign L1 SWIFT Data Fall 2022 POCLOUD STAC Catalog 2022-08-01 2022-10-31 -153.6, 72, -145.5, 73.5 https://cmr.earthdata.nasa.gov/search/concepts/C2580152405-POCLOUD.umm_json The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200km of the sea ice edge. The Surface Wave Instrument Float with Tracking (SWIFT) drifter is a passive Lagrangian wave-following sensor platform. During the SASSIE deployment, five SWIFT drifters were deployed in September 2022, collecting measurements of salinity, sea surface temperature, waves, and meteorological data. SWIFT drifter buoys contain GPS, a pulse-coherent Doppler velocity profiler, an autonomous meteorological station, and a digital video recorder. Level 1 data are available as compressed files containing graphics of the measurements alongside MATLAB and NetCDF files. proprietary
SASSIE_L1_WAVEGLIDER_V1_1 SASSIE Arctic Field Campaign L1 Wave Glider Data Fall 2022 POCLOUD STAC Catalog 2022-08-01 2022-10-31 -170.5, 67.46, -138, 75.75 https://cmr.earthdata.nasa.gov/search/concepts/C2580179397-POCLOUD.umm_json The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200km of the sea ice edge. A waveglider is an autonomous platform propelled by the conversion of ocean wave energy into forward thrust and employing solar panels to power instrumentation. During the SASSIE deployment, four wavegliders were deployed near Prudhoe Bay on 12-14 August 2022. The wavegliders collect measurements of ocean surface salinity, temperature, currents, waves, and meteorological data. Custom integrated Casting CTDs provide additional profiles of salinity and temperature to a depth of 150m below the surface. L1 data are available as a compressed file containing graphics of the measurements alongside MATLAB data files. proprietary
@@ -12363,8 +12372,11 @@ SCAR_B_UWC131A_1 Sulfates, Clouds and Radiation Brazil (SCAR-B) University of Wa
SCAR_EGBAMM_RAATD_2018_Filtered_1 Filtered Data from the Retrospective Analysis of Antarctic Tracking Data Project from the Scientific Committee on Antarctic Research AU_AADC STAC Catalog 1991-01-01 2016-12-31 -180, -90, 180, -20 https://cmr.earthdata.nasa.gov/search/concepts/C1519608644-AU_AADC.umm_json "The Retrospective Analysis of Antarctic Tracking Data (RAATD) is a Scientific Committee for Antarctic Research (SCAR) project led jointly by the Expert Groups on Birds and Marine Mammals and Antarctic Biodiversity Informatics, and endorsed by the Commission for the Conservation of Antarctic Marine Living Resources. The RAATD project team consolidated tracking data for multiple species of Antarctic meso- and top-predators to identify Areas of Ecological Significance. These datasets constitute the compiled tracking data from a large number of research groups that have worked in the Antarctic since the 1990s. This metadata record pertains to the ""filtered"" version of the data files. These files contain position estimates that have been processed using a state-space model in order to estimate locations at regular time intervals. For technical details of the filtering process, consult the data paper. The filtering code can be found in the https://github.com/SCAR/RAATD repository. This data set comprises one metadata csv file that describes all deployments, along with data files (3 files for each of 17 species). For each species there is: - an RDS file that contains the fitted filter model object and model predictions (this file is RDS format that can be read by the R statistical software package) - a PDF file that shows the quality control results for each individual model - a CSV file containing the interpolated position estimates For details of the file contents and formats, consult the data paper. The data are also available in a standardized version (see https://data.aad.gov.au/metadata/records/SCAR_EGBAMM_RAATD_2018_Standardised) that contain position estimates as provided by the original data collectors (generally, raw Argos or GPS locations, or estimated GLS locations) without state-space filtering." proprietary
SCATSAT1_ESDR_ANCILLARY_L2_V1.1_1.1 SCATSAT-1 ESDR Level 2 Ancillary Ocean Surface Fields Version 1.1 POCLOUD STAC Catalog 2018-04-01 2021-03-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2706524255-POCLOUD.umm_json This dataset contains the first science quality release (post-provisional after v1.0) of the MEaSUREs-funded Earth Science Data Record (ESDR) of ancillary data corresponding to the SCATSAT-1 Level 2 (L2) data products, interpolated in space and time to the scatterometer observations. These ancillary files include: i) ocean surface wind fields from ERA-5 short-term forecast (removed from the analyses times to reduce impacts from assimilated scatterometer retrievals at the beginning of the forecast); ii) collocated in space and time estimations of precipitation from the GPM IMERG product; iii) estimation of the surface currents from the GlobCurrent project. These auxiliary fields are included to complement the scatterometer observation fields and to help in the evaluation process. The modeled ocean surface auxiliary fields are provided on a non-uniform grid within the native L2 SCATSAT-1 sampled locations at a nominal 12.5 km pixel resolution. Each file corresponds to a specific orbital revolution (rev) number, which begins at the southernmost point of the ascending orbit.
The dataset represents the first science quality release of this product with funding from the MEaSUREs (Making Earth System Data Records for Use in Research Environments) program. Version 1.1 provides a set of updates and improvements from version 1.0, including: 1) improved variable metadata, 2) removed the GlobCurrent stokes drift variables, and 3) provided data source metadata including DOIs for the ERA-5, IMERGE, and GlobCurrent data sources. The primary purpose of this release is for science evaluation by the NASA International Ocean Vector Winds Science Team (IOVWST). proprietary
SCATSAT1_ESDR_L2_WIND_STRESS_V1.1_1.1 SCATSAT-1 Scatterometer Inter-Calibrated ESDR Level 2 Ocean Surface Equivalent Neutral Wind Vectors and Wind Stress Vectors Version 1.1 POCLOUD STAC Catalog 2018-04-01 2021-03-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2706520933-POCLOUD.umm_json This dataset contains ocean surface wind vectors (equivalent neutral and true 10m) and wind stress vectors derived from satellite-based scatterometer observations aboard ScatSat-1, representing the first science quality release of these data (post-provisional after v1.0) funded under the MEaAUREs program. This product from ScatSat-1 has been intercalibrated with similar scatterometer measurements from instruments on the MetOp-A, MetOp-B, and QuikScat satellites. The wind vector and stress retrievals are provided on a non-uniform grid within the swath (Level 2 (L2) products) at 12.5 km pixel resolution. Each L2 file corresponds to a specific orbital revolution number, which begins at the southernmost point of the ascending orbit.
The dataset represents the first science quality release funded under the MEaSUREs (Making Earth System Data Records for Use in Research Environments) program. Version 1.1 provides a set of updates and improvements from version 1.0, including: 1) increased data coverage, 2) improved quality control, and 3) new global metadata attributes featuring revolution number, equator crossing longitude, and equator crossing time (UTC). The primary purpose of this release is for science evaluation by the NASA International Ocean Vector Winds Science Team (IOVWST). proprietary
-SCI_NL__1P_NA Envisat SCIAMACHY Geo-located atmospheric spectra [SCI_NL__1P] ESA STAC Catalog 2002-08-02 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336947-ESA.umm_json This data product covers geo-located, radiometrically and spectrally calibrated limb and nadir radiance spectra for Nadir, Limb, and Occultation measurements with additional monitoring and calibration measurements. The Level 1b product is the lowest level of SCIAMACHY data delivered to the users. The instrument Instantaneous Field of View (IFoV) is approximately 0.045 deg (scan direction) x 1.8 deg (flight direction). This corresponds to a ground pixel size of 25 Km x 0.6 km at the sub-satellite point (nadir) and of 103 km x 2.6 km at the Earth's horizon (limb). Nadir measurements have a maximum swath width of 960 km (in scan direction) and a typical footprint of 30 km (along track) x 60 km (across track). Limb measurements have a tangent height range spanning from 0 to 100 km with 3 km vertical resolution. Azimuth scans are performed for constant elevation angle, typically 34 elevation steps per limb scan. Maximum azimuth range is +/- 44 deg relative to S/C velocity (Note that the azimuth range is adjusted to observe the same atmospheric volume as for nadir measurements within five minutes). The radiometric resolution is 16 bits, with a spectral resolution of 0.24 nm to 1.5 nm, depending on the spectral range. The Sun normalized radiometric accuracy is 2 to 3% in unpolarized light, and 3 to 4% in polarized light. The relative radiometric accuracy is less than 1% and the spectral accuracy spans form 0.005 nm to 0.035 nm. Individual measurements from dedicated monitoring states include: Sun over diffuser Subsolar calibration Spectral lamp measurements White light source measurements Elevation mirror monitoring (Sun/Moon) ADC calibration Level 1b products are corrected for degradation applying a scan mirror model and m-factors. The latest Level 1b dataset is version 8.0X. proprietary
-SCI_OL__2P_NA Envisat SCIAMACHY Total column densities and stratospheric profiles [SCI_OL__2P] ESA STAC Catalog 2002-08-02 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336948-ESA.umm_json The data product provides global column distributions and stratospheric profiles of various trace gases. Total column densities of O3, NO2, OClO, H2O, SO2, BrO, CO, HCHO, CHOCHO and CH4 are retrieved from Nadir measurements. Additional cloud parameters (fractional cloud coverage, cloud-top height, cloud optical thickness) and an aerosol absorption indicator are enclosed. Stratospheric profiles of O3, NO2, and BrO are derived from limb measurements, also with flagging information for cloud-types. Tropospheric NO2 columns are retrieved combining limb and nadir measurements. The latest Level 2 dataset is version 6.01. proprietary
+SCIAMACHYLevel1_2.0 Envisat SCIAMACHY Level 1b [SCI_____1P] ESA STAC Catalog 2002-08-02 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3325394400-ESA.umm_json This Envisat SCIAMACHY Level 1b Geo-located atmospheric spectra V.10 dataset is generated from the full mission reprocessing campaign completed in 2023 under the _$$ESA FDR4ATMOS project$$ https://atmos.eoc.dlr.de/FDR4ATMOS/ . This data product contains SCIAMACHY geo-located (ir)radiance spectra for Nadir, Limb, and Occultation measurements (Level 1), accompanied by supplementary monitoring and calibration measurements, along with instrumental parameters detailing the operational status and configuration throughout the Envisat satellite lifetime (2002-2012). Additionally, calibrated lunar measurements, including individual readings and averaged disk measurements, have been integrated into the Level 1b product. The Level 1b product represents the lowest level of SCIAMACHY data made available to the users. The measurements undergo correction for instrument degradation applying a scan mirror model and m-factors. However, spectra are partially calibrated and require a further step to apply specific calibrations with the SCIAMACHY Calibration and Extraction Tool [_$$SciaL1c$$ https://earth.esa.int/eogateway/tools/scial1c-command-line-tool ]. For many aspects, the SCIAMACHY Level 1b version 10 product marks a significant improvement with respect to previous mission datasets, supplanting the Level 1b dataset version 8.0X with product type SCI_NL__1P. Users are strongly encouraged to make use of the new datasets for optimal results. The new products are conveniently formatted in NetCDF. Free standard tools, such as _$$Panoply$$ https://www.giss.nasa.gov/tools/panoply/ , can be used to read NetCDF data. Panoply is sourced and updated by external entities. For further details, please consult our _$$Terms and Conditions page$$ https://earth.esa.int/eogateway/terms-and-conditions . Please refer to the _$$README$$ https://earth.esa.int/documents/d/earth-online/rmf_0013_sci_____1p_l1v10 file for essential guidance before using the data. proprietary
+SCIAMACHYLevel2LimbOzone_3.0 Envisat SCIAMACHY Level 2 - Limb Ozone [SCI_LIMBO3] ESA STAC Catalog 2002-08-02 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3325393549-ESA.umm_json This Envisat SCIAMACHY Ozone stratospheric profiles dataset has been extracted from the previous baseline (v6.01) of the SCIAMACHY Level 2 data. The dataset is generated in the framework of the full mission reprocessing campaign completed in 2023 under the _$$ESA FDR4ATMOS project$$ https://atmos.eoc.dlr.de/FDR4ATMOS/ . For optimal results, users are strongly encouraged to make use of these specific ozone limb profiles rather than the ones contained in the _$$SCIAMACHY Level 2 dataset version 7.1$$ https://earth.esa.int/eogateway/catalog/envisat-sciamachy-total-column-densities-and-stratospheric-profiles-sci_ol__2p- . The new products are conveniently formatted in NetCDF. Free standard tools, such as _$$Panoply$$ https://www.giss.nasa.gov/tools/panoply/ , can be used to read NetCDF data. Panoply is sourced and updated by external entities. For further details, please consult our _$$Terms and Conditions page$$ https://earth.esa.int/eogateway/terms-and-conditions . Please refer to the _$$README$$ https://earth.esa.int/eogateway/documents/20142/37627/ENVI-GSOP-EOGD-QD-16-0132.pdf file (L2 v6.01) for essential guidance before using the data. proprietary
+SCIAMACHYLevel2_2.0 Envisat SCIAMACHY Level 2 [SCI_____2P] ESA STAC Catalog 2002-08-02 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3325394519-ESA.umm_json This Envisat SCIAMACHY Level 2 Total column densities and stratospheric profiles v7.1 dataset is generated from the full mission reprocessing campaign completed in 2023 under the _$$ESA FDR4ATMOS project$$ https://atmos.eoc.dlr.de/FDR4ATMOS/ . It provides atmospheric columnar distributions and stratospheric profiles for various trace gases based on the Level 1b version 10 products. This SCIAMACHY Level 2 dataset contains total column densities of O3, NO2, OClO, H2O, SO2, BrO, CO, HCHO, CHOCHO and CH4 retrieved from Nadir measurements. Additionally, cloud parameters (fractional coverage, top height, optical thickness) and an aerosol absorption indicator are enclosed. Stratospheric profiles of O3, NO2, and BrO are derived from limb measurements, along with flagging information for different cloud-types. Tropospheric NO2 and BrO columns are retrieved combining limb and nadir measurements. This SCIAMACHY Level 2 dataset version 7.1 replaces the previous version 6.01. Users are strongly encouraged to make use of the new datasets for optimal results. For limb O3 profiles, a separate product derived from the previous Version 6 processor is provided distinctly -> _$$SCIAMACHY Level 2 - Limb Ozone [SCI_LIMBO3]$$ https://earth.esa.int/eogateway/catalog/envisat-sciamachy-ozone-stratospheric-profiles-sci_limbo3 . This is because the V7.1 limb ozone data is unsuitable for long-term change studies due to its divergent behavior from earlier processor versions, particularly from 2009 onwards. This divergence stems from residual deficiencies in the Level 1, resulting in a vertical oscillating pattern in the drift and bias profiles. In contrast, Version 6 limb ozone data does not exhibit these oscillations in bias and drift. Further details on this issue can be found in the _$$latest README$$ https://earth.esa.int/documents/d/earth-online/rmf_0014_sci_____2p_l2v7-1 file. The new products are conveniently formatted in NetCDF. Free standard tools, such as _$$Panoply$$ https://www.giss.nasa.gov/tools/panoply/ , can be used to read NetCDF data. Panoply is sourced and updated by external entities. For further details, please consult our _$$Terms and Conditions page$$ https://earth.esa.int/eogateway/terms-and-conditions . Please refer to the _$$README$$ https://earth.esa.int/documents/d/earth-online/rmf_0014_sci_____2p_l2v7-1 file for essential guidance before using the data. proprietary
+SCI_NL__1P_6.0 Envisat SCIAMACHY Geo-located atmospheric spectra [SCI_NL__1P] ESA STAC Catalog 2002-08-02 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336947-ESA.umm_json This data product covers geo-located, radiometrically and spectrally calibrated limb and nadir radiance spectra for Nadir, Limb, and Occultation measurements with additional monitoring and calibration measurements. The Level 1b product is the lowest level of SCIAMACHY data delivered to the users. The instrument Instantaneous Field of View (IFoV) is approximately 0.045 deg (scan direction) x 1.8 deg (flight direction). This corresponds to a ground pixel size of 25 Km x 0.6 km at the sub-satellite point (nadir) and of 103 km x 2.6 km at the Earth's horizon (limb). Nadir measurements have a maximum swath width of 960 km (in scan direction) and a typical footprint of 30 km (along track) x 60 km (across track). Limb measurements have a tangent height range spanning from 0 to 100 km with 3 km vertical resolution. Azimuth scans are performed for constant elevation angle, typically 34 elevation steps per limb scan. Maximum azimuth range is +/- 44 deg relative to S/C velocity (Note that the azimuth range is adjusted to observe the same atmospheric volume as for nadir measurements within five minutes). The radiometric resolution is 16 bits, with a spectral resolution of 0.24 nm to 1.5 nm, depending on the spectral range. The Sun normalized radiometric accuracy is 2 to 3% in unpolarized light, and 3 to 4% in polarized light. The relative radiometric accuracy is less than 1% and the spectral accuracy spans form 0.005 nm to 0.035 nm. Individual measurements from dedicated monitoring states include: Sun over diffuser Subsolar calibration Spectral lamp measurements White light source measurements Elevation mirror monitoring (Sun/Moon) ADC calibration Level 1b products are corrected for degradation applying a scan mirror model and m-factors. The latest Level 1b dataset is version 8.0X. proprietary
+SCI_OL__2P_6.0 Envisat SCIAMACHY Total column densities and stratospheric profiles [SCI_OL__2P] ESA STAC Catalog 2002-08-02 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336948-ESA.umm_json The data product provides global column distributions and stratospheric profiles of various trace gases. Total column densities of O3, NO2, OClO, H2O, SO2, BrO, CO, HCHO, CHOCHO and CH4 are retrieved from Nadir measurements. Additional cloud parameters (fractional cloud coverage, cloud-top height, cloud optical thickness) and an aerosol absorption indicator are enclosed. Stratospheric profiles of O3, NO2, and BrO are derived from limb measurements, also with flagging information for cloud-types. Tropospheric NO2 columns are retrieved combining limb and nadir measurements. The latest Level 2 dataset is version 6.01. proprietary
SCMRN5L1RAD_001 SCMR/Nimbus-5 Level 1 Calibrated and Geolocated Radiances V001 (SCMRN5L1RAD) at GES DISC GES_DISC STAC Catalog 1972-12-11 1972-12-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2257303503-GES_DISC.umm_json SCMRN5L1RAD is the Nimbus-5 Surface Composition Mapping Radiometer (SCMR) Level 1 Calibrated and Geolocated Radiances data product. SCMR measured (1) terrestrial radiation in the 8.3 to 9.3 micron and 10.2 to 11.2 micron intervals and (2) reflected solar radiation in the 0.8 to 1.1 micron range. Surface composition and sea surface temperatures could be obtained from these measurements. The SCMR had an instantaneous field of view (FOV) of 0.6 mrad, equivalent to a ground resolution of 660 m at nadir. The scan mirror rotated at 10 rps to provide scan lines 800 km wide across the spacecraft track. Data are available from December 11, 1972 through December 30, 1972. A modified version of this instrument, the Heat Capacity Mapping Radiometer, was flown on the Heat Capacity Mapping Mission (HCMM) in 1978. proprietary
SCOAPE_Ground_Data_1 SCOAPE Ground Site Data LARC_ASDC STAC Catalog 2019-04-09 2019-05-21 -92, 27, -87.5, 29.5 https://cmr.earthdata.nasa.gov/search/concepts/C2342530547-LARC_ASDC.umm_json SCOAPE_Ground_Data is the ground site data collected during the Satellite Coastal and Oceanic Atmospheric Pollution Experiment (SCOAPE). The ground site was located at the Louisiana Universities Marine Consortium (LUMCON; Cocodrie, LA). This collection features NO2 volume mixing ratios from the Teledyne API T500U and boundary layer height information from the UH Vaisala CL31 Ceilometer. Data collection for this product is complete. The Outer Continental Shelf Lands Act (OCSLA) requires the US Department of Interior Bureau of Ocean Energy Management (BOEM) to ensure compliance with the US National Ambient Air Quality Standard (NAAQS) so that Outer Continental Shelf (OCS) oil and natural gas (ONG) exploration, development, and production do not significantly impact the air quality of any US state. In 2017, BOEM and NASA entered into an interagency agreement to begin a study to scope out the feasibility of BOEM personnel using a suite of NASA and non-NASA resources to assess how pollutants from ONG exploration, development, and production activities affect air quality. An important activity of this interagency agreement was SCOAPE, a field deployment that took place in May 2019, that aimed to assess the capability of satellite observations for monitoring offshore air quality. The outcomes of the study are documented in two BOEM reports (Duncan, 2020; Thompson, 2020). To address BOEM’s goals, the SCOAPE science team conducted surface-based remote sensing and in-situ measurements, which enabled a systematic assessment of the application of satellite observations, primarily NO2, for monitoring air quality. The SCOAPE field measurements consisted of onshore ground sites, including in the vicinity of LUMCON, as well as those from University of Southern Mississippi’s Research Vessel (R/V) Point Sur, which cruised in the Gulf of Mexico from 10-18 May 2019. Based on the 2014 and 2017 BOEM emissions inventories as well as daily air quality and meteorological forecasts, the cruise track was designed to sample both areas with large oil drilling platforms and areas with dense small natural gas facilities. The R/V Point Sur was instrumented to carry out both remote sensing and in-situ measurements of NO2 and O3 along with in-situ CH4, CO2, CO, and VOC tracers which allowed detailed characterization of airmass type and emissions. In addition, there were also measurements of multi-wavelength AOD and black carbon as well as planetary boundary layer structure and meteorological variables, including surface temperature, humidity, and winds. A ship-based spectrometer instrument provided remotely-sensed total column amounts of NO2 and O3 for direct comparison with satellite measurements. Ozonesondes and radiosondes were also launched 1-3 times daily from the R/V Point Sur to provide O3 and meteorological vertical profile observations. The ground-based observations, primarily at LUMCON, included spectrometer-measured column NO2 and O3, in-situ NO2, VOCs, and planetary boundary layer structure. A NO2sonde was also mounted on a vehicle with the goal to detect pollution onshore from offshore ONG activities during onshore flow; data were collected along coastal Louisiana from Burns Point Park to Grand Isle to the tip of the Mississippi River delta. The in-situ measurements were reported in ICARTT files or Excel files. The remote sensing data are in either HDF or netCDF files. proprietary
SCOAPE_Pandora_Data_1 SCOAPE Pandora Column Observations LARC_ASDC STAC Catalog 2019-04-10 2019-05-21 -92, 27, -87.5, 29.5 https://cmr.earthdata.nasa.gov/search/concepts/C2342530625-LARC_ASDC.umm_json SCOAPE_Pandora_Data is the column NO2 and ozone data collected by Pandora spectrometers during the Satellite Coastal and Oceanic Atmospheric Pollution Experiment (SCOAPE). Pandora instruments were located on the University of Southern Mississippi’s Research Vessel (R/V) Point Sur and at the Louisiana Universities Marine Consortium (LUMCON; Cocodrie, LA). Data collection for this product is complete. The Outer Continental Shelf Lands Act (OCSLA) requires the US Department of Interior Bureau of Ocean Energy Management (BOEM) to ensure compliance with the US National Ambient Air Quality Standard (NAAQS) so that Outer Continental Shelf (OCS) oil and natural gas (ONG) exploration, development, and production do not significantly impact the air quality of any US state. In 2017, BOEM and NASA entered into an interagency agreement to begin a study to scope out the feasibility of BOEM personnel using a suite of NASA and non-NASA resources to assess how pollutants from ONG exploration, development, and production activities affect air quality. An important activity of this interagency agreement was SCOAPE, a field deployment that took place in May 2019, that aimed to assess the capability of satellite observations for monitoring offshore air quality. The outcomes of the study are documented in two BOEM reports (Duncan, 2020; Thompson, 2020). To address BOEM’s goals, the SCOAPE science team conducted surface-based remote sensing and in-situ measurements, which enabled a systematic assessment of the application of satellite observations, primarily NO2, for monitoring air quality. The SCOAPE field measurements consisted of onshore ground sites, including in the vicinity of LUMCON, as well as those from University of Southern Mississippi’s R/V Point Sur, which cruised in the Gulf of Mexico from 10-18 May 2019. Based on the 2014 and 2017 BOEM emissions inventories as well as daily air quality and meteorological forecasts, the cruise track was designed to sample both areas with large oil drilling platforms and areas with dense small natural gas facilities. The R/V Point Sur was instrumented to carry out both remote sensing and in-situ measurements of NO2 and O3 along with in-situ CH4, CO2, CO, and VOC tracers which allowed detailed characterization of airmass type and emissions. In addition, there were also measurements of multi-wavelength AOD and black carbon as well as planetary boundary layer structure and meteorological variables, including surface temperature, humidity, and winds. A ship-based spectrometer instrument provided remotely-sensed total column amounts of NO2 and O3 for direct comparison with satellite measurements. Ozonesondes and radiosondes were also launched 1-3 times daily from the R/V Point Sur to provide O3 and meteorological vertical profile observations. The ground-based observations, primarily at LUMCON, included spectrometer-measured column NO2 and O3, in-situ NO2, VOCs, and planetary boundary layer structure. A NO2sonde was also mounted on a vehicle with the goal to detect pollution onshore from offshore ONG activities during onshore flow; data were collected along coastal Louisiana from Burns Point Park to Grand Isle to the tip of the Mississippi River delta. The in-situ measurements were reported in ICARTT files or Excel files. The remote sensing data are in either HDF or netCDF files. proprietary
@@ -12597,7 +12609,7 @@ SMODE_L2a_PRISM_REFL_V1_1 S-MODE PRISM Level 2a Reflectance Version 1 POCLOUD ST
SMODE_L3_SEAGLIDERS_TEMP_SALINITY_V1_1 S-MODE Level 3 Seaglider Observations Version 1 POCLOUD STAC Catalog 2022-08-23 2023-07-07 -125.4, 36.3, -122.9, 38.1 https://cmr.earthdata.nasa.gov/search/concepts/C2847092563-POCLOUD.umm_json This dataset contains profiles of temperature, dissolved oxygen, salinity, and other observations collected by Seagliders during the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) field campaign. The experiment was conducted approximately 300 km offshore of San Francisco, during two intensive operating periods in Fall 2022 and Spring 2023. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. Seagliders are autonomous underwater vehicles (AUVs) designed to glide from the ocean surface to as deep as 1000 m and back while collecting profiles of oceanic variables. Data are available in netCDF format. proprietary
SMODE_L3_SHIPBOARD_UCTD_ECOCTD_V1_1 S-MODE Level 3 Shipboard uCTD and EcoCTD Measurements Version 1 POCLOUD STAC Catalog 2021-08-01 2021-11-30 -125.4, 36.3, -122.9, 38.1 https://cmr.earthdata.nasa.gov/search/concepts/C2574152934-POCLOUD.umm_json This dataset contains shipboard Underway conductivity, temperature, and depth (UCDT) measurements taken during the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) pilot campaign conducted approximately 300 km offshore of San Francisco over two weeks in October 2021. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. The Underway CTD system contains a standard UCDT probe measuring conductivity, temperature, and pressure, as well as an augmented EcoCDT probe that concurrently measures both hydrographic and bio-optical data including conductivity, temperature, pressure, dissolved oxygen concentration, chlorophyll-fluorescence, and particulate backscatter at two different wavelengths. Level 3 data are available in netCDF format with dimensions of profile number and depth. proprietary
SMODE_L4_NCOM_V1_1 S-MODE NCOM Model Output Version 1 POCLOUD STAC Catalog 2021-10-28 2023-05-05 -130, 30, -116, 42 https://cmr.earthdata.nasa.gov/search/concepts/C2988721782-POCLOUD.umm_json This dataset contains model output from the Navy Coastal Ocean Model (NCOM) run during the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) field campaign. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. NCOM model output consists of daily files during the deployment dates of the pilot campaign in Fall 2021, IOP1 in Fall 2022, and IOP2 in Spring 2023. Data consists of ocean variables such as salinity, sea water temperature, water depth, and surface wind stress, and are available in netCDF format. proprietary
-SMOS_Open_V7_NA SMOS L1 and L2 Science data ESA STAC Catalog 2010-01-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2207506566-ESA.umm_json "Level 1 SMOS data products are designed for scientific and operational users who need to work with calibrated MIRAS instrument measurements, while Level 2 SMOS data products are designed for scientific and operational users who need to work with geo-located soil moisture and sea surface salinity estimation as retrieved from Level 1 dataset. Products from the operational pipeline in the SMOS Data Processing Ground Segment (DPGS) https://earth.esa.int/eogateway/missions/smos/description, located at the European Space Astronomy Centre (ESAC), have File Class """"OPER"""", while reprocessed data is tagged as """"REPR"""". For an optimal exploitation of the current SMOS L1 and L2 data set please consult the read-me-first notes. The Level 1A product comprises all calibrated visibilities between receivers (i.e. the interferometric measurements from the sensor including the redundant visibilities), combined per integration time of 1.2s (snapshot). The snapshots are consolidated in a pole-to-pole product file (50 minutes of sensing time) with a maximum size of about 215MB per half orbit (29 half orbits per day). The Level 1B product comprises the result of the image reconstruction algorithm applied to the L1A data. As a result, the reconstructed image at L1B is simply the difference between the sensed scene by the sensor and the artificial scene. The brightness temperature image is available in its Fourier component in the antenna polarisation reference frame top of the atmosphere. Images are combined per integration time of 1.2 seconds (snapshot). The removal of foreign sources (Galactic, Direct Sun, Moon) is also included in the reconstruction. Snapshot consolidation is as per L1A, with a maximum product size of about 115MB per half orbit. ESA provides the Artificial Scene Library (ASL) to add the artificial scene in L1B for any user that wants to start from L1B products and derive the sensed scene. The Level 1C product contains multi-angular brightness temperatures in antenna frame (X-pol, Y-pol, T3 and T4) at the top of the atmosphere, geo-located in an equal-area grid system (ISEA 4H9 - Icosahedral Snyder Equal Area projection). Two L1C products are available: Land for soil moisture retrieval and Sea for sea surface salinity retrieval. The pixels are consolidated in a pole-to-pole product file (50 minutes of sensing time), with a maximum size of about 350MB per half orbit (29 half orbits per day). Spatial resolution is in the range of 30-50 km. For each L1C product there is also a corresponding Browse product containing brightness temperatures interpolated for an incidence angle of 42.5°. The Level 2 Soil Moisture (SM) product comprises soil moisture measurements geo-located in an equal-area grid system ISEA 4H9. The product contains not only the retrieved soil moisture, but also a series of ancillary data derived from the processing (nadir optical thickness, surface temperature, roughness parameter, dielectric constant and brightness temperature retrieved at top of atmosphere and on the surface) with the corresponding uncertainties. The pixels are consolidated in a pole-to-pole product file (50 minutes of sensing time), with a maximum size of about 7MB (25MB uncompressed data) per half orbit (29 half orbits per day). The Level 2 Ocean Salinity (OS) product comprises sea surface salinity measurements geo-located in an equal-area grid system ISEA 4H9. The product contains one single swath-based sea surface salinity retrieved with and without Land-Sea contamination correction, SSS anomaly based on WOA-2009 referred to Land-Sea corrected sea surface salinity, brightness temperature at the top of the atmosphere and at the sea surface with their corresponding uncertainties. The pixels are consolidated in a pole-to-pole product file (50 minutes of sensing time), with a maximum size of about 10MB (25MB uncompressed data) per half orbit (29 half orbits per day). The following Science data products, belonging to the latest processing baseline, are openly available to all users: MIR_SC_F1B/MIR_SC_D1B: Level 1B product, FULL/DUAL polarisation mode, in Earth Explorer format MIR_SCLF1C/MIR_SCLD1C: Level 1C product over Land, FULL/DUAL polarisation mode, in Earth Explorer format MIR_SCSF1C/MIR_SCSD1C: Level 1C product over Sea, FULL/DUAL polarisation mode, in Earth Explorer format MIR_BWLF1C/MIR_BWLD1C: Level 1C Browse product over Land, FULL/DUAL polarisation mode, in Earth Explorer format MIR_BWSF1C/MIR_BWSD1C: Level 1C Browse product over Sea, FULL/DUAL polarisation mode, in Earth Explorer format MIR_SMUDP2: Level 2 Soil Moisture product, in Earth Explorer and NetCDF format MIR_OSUDP2: Level 2 Sea Surface Salinity product, in Earth Explorer and NetCDF format Access to the following Science data products is restricted to SMOS CalVal users: MIR_SC_F1A/MIR_SC_D1A: Level 1A product, FULL/DUAL polarisation mode, in Earth Explorer format. For an optimal exploitation of the current SMOS L1 and L2 data set please consult the read-me-first notes available in the Resources section below." proprietary
+SMOS_Open_V7_5.0 SMOS L1 and L2 Science data ESA STAC Catalog 2010-01-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2207506566-ESA.umm_json Level 1 SMOS data products are designed for scientific and operational users who need to work with calibrated MIRAS instrument measurements, while Level 2 SMOS data products are designed for scientific and operational users who need to work with geo-located soil moisture and sea surface salinity estimation as retrieved from Level 1 dataset. Products from the operational pipeline in the SMOS Data Processing Ground Segment (DPGS) https://earth.esa.int/eogateway/missions/smos/description, located at the European Space Astronomy Centre (ESAC), have File Class ""OPER"", while reprocessed data is tagged as ""REPR"". For an optimal exploitation of the current SMOS L1 and L2 data set please consult the read-me-first notes. The Level 1A product comprises all calibrated visibilities between receivers (i.e. the interferometric measurements from the sensor including the redundant visibilities), combined per integration time of 1.2s (snapshot). The snapshots are consolidated in a pole-to-pole product file (50 minutes of sensing time) with a maximum size of about 215MB per half orbit (29 half orbits per day). The Level 1B product comprises the result of the image reconstruction algorithm applied to the L1A data. As a result, the reconstructed image at L1B is simply the difference between the sensed scene by the sensor and the artificial scene. The brightness temperature image is available in its Fourier component in the antenna polarisation reference frame top of the atmosphere. Images are combined per integration time of 1.2 seconds (snapshot). The removal of foreign sources (Galactic, Direct Sun, Moon) is also included in the reconstruction. Snapshot consolidation is as per L1A, with a maximum product size of about 115MB per half orbit. ESA provides the Artificial Scene Library (ASL) to add the artificial scene in L1B for any user that wants to start from L1B products and derive the sensed scene. The Level 1C product contains multi-angular brightness temperatures in antenna frame (X-pol, Y-pol, T3 and T4) at the top of the atmosphere, geo-located in an equal-area grid system (ISEA 4H9 - Icosahedral Snyder Equal Area projection). Two L1C products are available: Land for soil moisture retrieval and Sea for sea surface salinity retrieval. The pixels are consolidated in a pole-to-pole product file (50 minutes of sensing time), with a maximum size of about 350MB per half orbit (29 half orbits per day). Spatial resolution is in the range of 30-50 km. For each L1C product there is also a corresponding Browse product containing brightness temperatures interpolated for an incidence angle of 42.5°. The Level 2 Soil Moisture (SM) product comprises soil moisture measurements geo-located in an equal-area grid system ISEA 4H9. The product contains not only the retrieved soil moisture, but also a series of ancillary data derived from the processing (nadir optical thickness, surface temperature, roughness parameter, dielectric constant and brightness temperature retrieved at top of atmosphere and on the surface) with the corresponding uncertainties. The pixels are consolidated in a pole-to-pole product file (50 minutes of sensing time), with a maximum size of about 7MB (25MB uncompressed data) per half orbit (29 half orbits per day). The Level 2 Ocean Salinity (OS) product comprises sea surface salinity measurements geo-located in an equal-area grid system ISEA 4H9. The product contains one single swath-based sea surface salinity retrieved with and without Land-Sea contamination correction, SSS anomaly based on WOA-2009 referred to Land-Sea corrected sea surface salinity, brightness temperature at the top of the atmosphere and at the sea surface with their corresponding uncertainties. The pixels are consolidated in a pole-to-pole product file (50 minutes of sensing time), with a maximum size of about 10MB (25MB uncompressed data) per half orbit (29 half orbits per day). The following Science data products, belonging to the latest processing baseline, are openly available to all users: MIR_SC_F1B/MIR_SC_D1B: Level 1B product, FULL/DUAL polarisation mode, in Earth Explorer format MIR_SCLF1C/MIR_SCLD1C: Level 1C product over Land, FULL/DUAL polarisation mode, in Earth Explorer format MIR_SCSF1C/MIR_SCSD1C: Level 1C product over Sea, FULL/DUAL polarisation mode, in Earth Explorer format MIR_BWLF1C/MIR_BWLD1C: Level 1C Browse product over Land, FULL/DUAL polarisation mode, in Earth Explorer format MIR_BWSF1C/MIR_BWSD1C: Level 1C Browse product over Sea, FULL/DUAL polarisation mode, in Earth Explorer format MIR_SMUDP2: Level 2 Soil Moisture product, in Earth Explorer and NetCDF format MIR_OSUDP2: Level 2 Sea Surface Salinity product, in Earth Explorer and NetCDF format Access to the following Science data products is restricted to SMOS CalVal users: MIR_SC_F1A/MIR_SC_D1A: Level 1A product, FULL/DUAL polarisation mode, in Earth Explorer format. For an optimal exploitation of the current SMOS L1 and L2 data set please consult the read-me-first notes available in the Resources section below. proprietary
SNDR13CHRP1AQCal_2 Sounder SIPS: Sun Synchronous 13:30 orbit Climate Hyperspectral InfraRed Product (CHIRP): Calibrated Radiances from EOS-Aqua, V2 (SNDR13CHRP1AQCal) at GES DISC GES_DISC STAC Catalog 2016-09-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2011289898-GES_DISC.umm_json "The Climate Hyperspectral Infrared Radiance Product (CHIRP) is a Level 1 radiance product derived from Atmospheric Infrared Sounder (AIRS) on EOS-AQUA and the Cross-Track Infrared Sounders (CrIS) on the SNPP and JPSS-1+ platforms. (JPSS-1 is also called NOAA-20). CHIRP provides a consistent spectral response function (SRF) across all instruments. Inter-instrument radiometric offsets are removed with SNPP-CrIS chosen as the ""standard"". CHIRP follows the original instrument storage, i.e., granule in, granule out, and contains all information needed for retrievals (including cross-track, along-track, fov id, etc.). This version of CHIRP, SNDR13CHRP1AQCal, only contains CHIRP data derived from the AIRS instrument on EOS-AQUA that is not present in the main CHIRP product, SNDR13CHRP1, and therefore starts on Sept. 1, 2016 and will continue until the AIRS end of mission." proprietary
SNDR13CHRP1J1Cal_2 Sounder SIPS: Sun Synchronous 13:30 orbit Climate Hyperspectral InfraRed Product (CHIRP): Calibrated Radiances from JPSS-1/NOAA-20, V2 (SNDR13CHRP1J1Cal) at GES DISC GES_DISC STAC Catalog 2018-02-17 2018-09-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2011290109-GES_DISC.umm_json "The Climate Hyperspectral Infrared Radiance Product (CHIRP) is a Level 1 radiance product derived from Atmospheric Infrared Sounder (AIRS) on EOS-AQUA and the Cross-Track Infrared Sounders (CrIS) on the SNPP and JPSS-1+ platforms. (JPSS-1 is also called NOAA-20). CHIRP provides a consistent spectral response function (SRF) across all instruments. Inter-instrument radiometric offsets are removed with SNPP-CrIS chosen as the ""standard"". CHIRP follows the original instrument storage, i.e., granule in, granule out, and contains all information needed for retrievals (including cross-track, along-track, fov id, etc.). This version of CHIRP, SNDR13CHRP1J1Cal, contains CHIRP data derived from the JPSS-1 (NOAA-20) CrIS instrument that is not present in the main CHIRP product, SNDR13CHRP1, which include JPSS-1 data from February 17, 2018 through August 31, 2018." proprietary
SNDR13CHRP1SNCal_2 Sounder SIPS: Sun Synchronous 13:30 orbit Climate Hyperspectral InfraRed Product (CHIRP): Calibrated Radiances from S-NPP, V2 (SNDR13CHRP1SNCal) at GES DISC GES_DISC STAC Catalog 2015-11-02 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2011289954-GES_DISC.umm_json "The Climate Hyperspectral Infrared Radiance Product (CHIRP) is a Level 1 radiance product derived from Atmospheric Infrared Sounder (AIRS) on EOS-AQUA and the Cross-Track Infrared Sounders (CrIS) on the SNPP and JPSS-1+ platforms. (JPSS-1 is also called NOAA-20). CHIRP provides a consistent spectral response function (SRF) across all instruments. Inter-instrument radiometric offsets are removed with SNPP-CrIS chosen as the ""standard"". CHIRP follows the original instrument storage, i.e., granule in, granule out, and contains all information needed for retrievals (including cross-track, along-track, fov id, etc.). This version of CHIRP, SNDR13CHRP1SNCal, contains CHIRP data derived from the CrIS instrument on the SNPP platform that is not present in the main CHIRP product, SNDR13CHRP1, and therefore covers the date ranges of November 2, 2015 (when CrIS started producing high-spectral resolution data which is required for CHIRP) through August 31, 2016 when the main CHIRP product, SNDR13CHRP1, switches to using CrIS on JPSS-1. " proprietary
@@ -12767,6 +12779,7 @@ SNEX23_Lidar_1 SnowEx23 Airborne Lidar-Derived 0.5M Snow Depth and Canopy Height
SNEX23_Lidar_Raw_1 SnowEx23 Airborne Lidar Scans Raw V001 NSIDC_ECS STAC Catalog 2022-03-11 2023-10-25 -148.5, 64.5, -148, 70 https://cmr.earthdata.nasa.gov/search/concepts/C2893835306-NSIDC_ECS.umm_json "This data set provides raw lidar data from two regions of Alaska, USA collected as part of the NASA SnowEx 2023 field campaign. The study sites include a boreal forest environment in the Fairbanks region of central Alaska (the Bonanza Creek Experimental Forest, Caribou Poker Creek watershed, and Farmer’s Loop/Creamer’s Field) and a coastal tundra environment in the North Slope region of the northern Alaska coastal plain (Arctic coastal plain and Upper Kuparuk Toolik). Processed data, including digital terrain models, snow depth, and canopy height derived from Point Cloud Digital Terrain Models (PCDTMs) are available as SnowEx23 Airborne Lidar-Derived 0.5M Snow Depth and Canopy Height, Version 1." proprietary
SNEX23_MAR22_SD_1 SnowEx23 Mar22 IOP Snow Depth Measurements V001 NSIDC_ECS STAC Catalog 2022-03-08 2022-03-23 -149.597, 64.699, -147.49, 70.085 https://cmr.earthdata.nasa.gov/search/concepts/C3154261714-NSIDC_ECS.umm_json "The data set contains snow depth measurements from two regions of Alaska, USA collected during the March 2022 intensive observation period (IOP) as part of the NASA SnowEx 2023 field campaign. The study sites include three boreal forest sites in the Fairbanks region of central Alaska (the Bonanza Creek Experimental Forest, Caribou Poker Creek watershed, and Farmer’s Loop/Creamer’s Field) and a coastal tundra site in the North Slope region (Arctic coastal plain). Snow depth measurements collected from the study sampling sites during the subsequent field season are available as SnowEx23 Mar23 IOP Snow Depth Measurements, Version 1." proprietary
SNEX23_MAR23_SD_1 SnowEx23 Mar23 IOP Community Snow Depth Measurements V001 NSIDC_ECS STAC Catalog 2023-03-07 2023-03-16 -149.597, 64.699, -147.49, 70.085 https://cmr.earthdata.nasa.gov/search/concepts/C3172387010-NSIDC_ECS.umm_json "The data set contains snow depth measurements from five study sites in Alaska, USA; data were collected during the March 2023 intensive observation period (IOP) as part of the NASA SnowEx 2023 field campaign. The study sites include three boreal forest sites in the Fairbanks region of central Alaska (the Bonanza Creek Experimental Forest, Caribou Poker Creek watershed, and Farmer’s Loop/Creamer’s Field) and two coastal tundra sites in the North Slope region (Arctic coastal plain and Upper Kuparuk Toolik). Snow depth measurements collected from the study sampling sites during the previous field season are available as SnowEx23 Mar22 IOP Snow Depth Measurements, Version 1." proprietary
+SNEX23_MAR23_SP_1 SnowEx23 Mar23 Snow Pit Measurements V001 NSIDC_ECS STAC Catalog 2023-03-07 2023-03-16 -149.59716, 64.69925, -147.48583, 70.08434 https://cmr.earthdata.nasa.gov/search/concepts/C3306985060-NSIDC_ECS.umm_json The data set presents snow pit measurements collected during the NASA SnowEx March 2023 Intensive Observation Period (IOP) in Alaska, USA to use for calibration and validation with coincident airborne SWESARR and lidar measurements as part of the strategy focused on snow water equivalence (SWE) and snow depth (HS). In total, 170 snow pits were excavated between the five sites at locations representing a range of snow depth, vegetation, and topographic conditions. Three study areas represented boreal forest snow near Fairbanks, AK: Farmers Loop Creamers Field (FLCF), Caribou Poker Creek Research Watershed (CPCRW), and Bonanza Creek Experimental Forest (BCEF). Two study areas represented Arctic tundra snow: Arctic Coastal Plain (ACP) and Upper Kuparuk Toolik (UKT). proprietary
SNEX23_SSA_1 SnowEx23 Laser Snow Microstructure Specific Surface Area Data V001 NSIDC_ECS STAC Catalog 2023-03-06 2023-03-16 -149.597, 64.701, -147.4905, 70.085 https://cmr.earthdata.nasa.gov/search/concepts/C2735033831-NSIDC_ECS.umm_json "This data set contains vertical profiles of snow reflectance and specific surface area (SSA) from the Fairbanks region of central Alaska (the Bonanza Creek Experimental Forest, the Caribou Poker Creek watershed and Farmers Loop/Creamer’s Field), and a coastal tundra environment in the North Slope region of northern Alaska (the Arctic coastal plain and Upper Kuparuk Toolik), collected as part of the NASA SnowEx 2023 field campaign in March 2023. Reflectance was measured in snow pits using three different integrating sphere laser devices: an A2 Photonic Sensor IceCube (1310 nm), an IRIS (InfraRed Integrating Sphere) system (1310 nm), and an InfraSnow SSA sensor (945 nm). Measured reflectance values were converted to SSA during data processing. It is recommended that data users work with either the IceCube or IRIS data, as the InfraSnow data was collected primarily for testing of the instrument’s capabilities. Snow-off SSA data from these same study sites are available as SnowEx23 Laser Snow Microstructure Specific Surface Area Snow-off Data, Version 1." proprietary
SNEX23_SSA_SO_1 SnowEx23 Laser Snow Microstructure Specific Surface Area Snow-off Data V001 NSIDC_ECS STAC Catalog 2023-10-17 2023-10-28 -149.5964, 64.701, -147.4906, 70.084 https://cmr.earthdata.nasa.gov/search/concepts/C2881748646-NSIDC_ECS.umm_json "This data set reports vertical profiles of snow reflectance and specific surface area (SSA) from two study sites in Alaska, USA collected as part of the NASA SnowEx 2023 field campaign. The study sites include a boreal forest environment in the Fairbanks region of central Alaska (the Bonanza Creek Experimental Forest, the Caribou Poker Creek watershed and Farmers Loop/Creamer’s Field), and a coastal tundra environment in the North Slope region of northern Alaska (the Arctic coastal plain and Upper Kuparuk Toolik). Reflectance was measured in situ using an A2 Photonic Sensor IceCube (1310 nm). Measured reflectance values were converted to SSA during data processing following the methods of Gallet et al., (2009). Snow-on SSA data from these same study sites were collected in March 2023 and are available as SnowEx23 Laser Snow Microstructure Specific Surface Area Data, Version 1." proprietary
SNEX23_SWE_1 SnowEx23 Snow Water Equivalent V001 NSIDC_ECS STAC Catalog 2023-03-13 2023-03-16 -149.494, 64.8677, -147.6745, 68.615 https://cmr.earthdata.nasa.gov/search/concepts/C3041011983-NSIDC_ECS.umm_json This data set presents snow depth, snow water equivalent (SWE), and bulk snow density data collected during the NASA SnowEx 2023 field campaign between March 13-16 2023. Samples were collected using an Adirondack snow sampler (SWE tube) from two study sites: Upper Kuparuk and Toolik (UKT), an arctic tundra environment in Northern Alaska, and Farmers Loop Creamers Field (FLCF), a boreal forest near Fairbanks, Alaska. proprietary
@@ -12951,8 +12964,8 @@ SPL1B_SO_LoRes_QA_001_1 SMAP_L1B_SIGMA_NAUGHT_LOW_RES_QA_V001 ASF STAC Catalog 2
SPL1B_SO_LoRes_QA_002_2 SMAP_L1B_SIGMA_NAUGHT_LOW_RES_QA_V002 ASF STAC Catalog 2015-02-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1243216659-ASF.umm_json SMAP Level 1B Sigma Naught Low Res Data Quality Info Version 2 proprietary
SPL1B_SO_LoRes_QA_003_3 SMAP_L1B_SIGMA_NAUGHT_LOW_RES_QA_V003 ASF STAC Catalog 2015-02-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1243129847-ASF.umm_json SMAP Level 1B Sigma Naught Low Res Data Quality Info Version 3 proprietary
SPL1CTB_005 SMAP L1C Radiometer Half-Orbit 36 km EASE-Grid Brightness Temperatures V005 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C1931656617-NSIDC_ECS.umm_json This Level-1C (L1C) product contains calibrated and geolocated brightness temperatures acquired by the Soil Moisture Active Passive (SMAP) radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. This product is derived from SMAP L-band Level-1B time-ordered brightness temperatures resampled to an Earth-fixed, 36 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in three projections: global cylindrical, Northern Hemisphere azimuthal, and Southern Hemisphere azimuthal. This L1C product is a gridded version of the SMAP time-ordered Level-1B radiometer brightness temperature product. proprietary
-SPL1CTB_006 SMAP L1C Radiometer Half-Orbit 36 km EASE-Grid Brightness Temperatures V006 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2776463699-NSIDC_ECS.umm_json This Level-1C (L1C) product contains calibrated and geolocated brightness temperatures acquired by the Soil Moisture Active Passive (SMAP) radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. This product is derived from SMAP L-band Level-1B time-ordered brightness temperatures resampled to an Earth-fixed, 36 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in three projections: global cylindrical, Northern Hemisphere azimuthal, and Southern Hemisphere azimuthal. This L1C product is a gridded version of the SMAP time-ordered Level-1B radiometer brightness temperature product. proprietary
SPL1CTB_006 SMAP L1C Radiometer Half-Orbit 36 km EASE-Grid Brightness Temperatures V006 NSIDC_CPRD STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2938663268-NSIDC_CPRD.umm_json This Level-1C (L1C) product contains calibrated and geolocated brightness temperatures acquired by the Soil Moisture Active Passive (SMAP) radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. This product is derived from SMAP L-band Level-1B time-ordered brightness temperatures resampled to an Earth-fixed, 36 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in three projections: global cylindrical, Northern Hemisphere azimuthal, and Southern Hemisphere azimuthal. This L1C product is a gridded version of the SMAP time-ordered Level-1B radiometer brightness temperature product. proprietary
+SPL1CTB_006 SMAP L1C Radiometer Half-Orbit 36 km EASE-Grid Brightness Temperatures V006 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2776463699-NSIDC_ECS.umm_json This Level-1C (L1C) product contains calibrated and geolocated brightness temperatures acquired by the Soil Moisture Active Passive (SMAP) radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. This product is derived from SMAP L-band Level-1B time-ordered brightness temperatures resampled to an Earth-fixed, 36 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in three projections: global cylindrical, Northern Hemisphere azimuthal, and Southern Hemisphere azimuthal. This L1C product is a gridded version of the SMAP time-ordered Level-1B radiometer brightness temperature product. proprietary
SPL1CTB_E_003 SMAP Enhanced L1C Radiometer Half-Orbit 9 km EASE-Grid Brightness Temperatures V003 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C1931657626-NSIDC_ECS.umm_json This enhanced Level-1C (L1C) product contains calibrated and geolocated brightness temperatures acquired by the Soil Moisture Active Passive (SMAP) radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. This product is derived from SMAP Level-1B (L1B) interpolated antenna temperatures. Backus-Gilbert optimal interpolation techniques are used to extract enhanced information from SMAP antenna temperatures before they are converted to brightness temperatures. The resulting brightness temperatures are posted to an Earth-fixed, 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in three projections: global cylindrical, Northern Hemisphere azimuthal, and Southern Hemisphere azimuthal. proprietary
SPL1CTB_E_004 SMAP Enhanced L1C Radiometer Half-Orbit 9 km EASE-Grid Brightness Temperatures V004 NSIDC_CPRD STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2938663435-NSIDC_CPRD.umm_json This enhanced Level-1C (L1C) product contains calibrated and geolocated brightness temperatures acquired by the Soil Moisture Active Passive (SMAP) radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. This product is derived from SMAP Level-1B (L1B) interpolated antenna temperatures. Backus-Gilbert optimal interpolation techniques are used to extract enhanced information from SMAP antenna temperatures before they are converted to brightness temperatures. The resulting brightness temperatures are posted to an Earth-fixed, 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in three projections: global cylindrical, Northern Hemisphere azimuthal, and Southern Hemisphere azimuthal. proprietary
SPL1CTB_E_004 SMAP Enhanced L1C Radiometer Half-Orbit 9 km EASE-Grid Brightness Temperatures V004 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2776463717-NSIDC_ECS.umm_json This enhanced Level-1C (L1C) product contains calibrated and geolocated brightness temperatures acquired by the Soil Moisture Active Passive (SMAP) radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. This product is derived from SMAP Level-1B (L1B) interpolated antenna temperatures. Backus-Gilbert optimal interpolation techniques are used to extract enhanced information from SMAP antenna temperatures before they are converted to brightness temperatures. The resulting brightness temperatures are posted to an Earth-fixed, 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in three projections: global cylindrical, Northern Hemisphere azimuthal, and Southern Hemisphere azimuthal. proprietary
@@ -12965,15 +12978,15 @@ SPL1C_S0_HiRes_METADATA_003_3 SMAP_L1C_SIGMA_NAUGHT_HIGH_RES_METADATA_V003 ASF S
SPL1C_S0_HiRes_QA_001_1 SMAP_L1C_SIGMA_NAUGHT_HIGH_RES_QA_V001 ASF STAC Catalog 2015-02-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214474435-ASF.umm_json SMAP Level 1C Sigma Naught High Res Data Quality Info proprietary
SPL1C_S0_HiRes_QA_002_2 SMAP_L1C_SIGMA_NAUGHT_HIGH_RES_QA_V002 ASF STAC Catalog 2015-02-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1243255360-ASF.umm_json SMAP Level 1C Sigma Naught High Res Data Quality Info Version 2 proprietary
SPL1C_S0_HiRes_QA_003_3 SMAP_L1C_SIGMA_NAUGHT_HIGH_RES_QA_V003 ASF STAC Catalog 2015-02-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1243140611-ASF.umm_json SMAP Level 1C Sigma Naught High Res Data Quality Info Version 3 proprietary
-SPL2SMAP_003 SMAP L2 Radar/Radiometer Half-Orbit 9 km EASE-Grid Soil Moisture V003 NSIDC_ECS STAC Catalog 2015-04-13 2015-07-07 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C1236303829-NSIDC_ECS.umm_json This Level-2 (L2) soil moisture product provides estimates of global land surface conditions retrieved by both the Soil Moisture Active Passive (SMAP) radar and radiometer during 6:00 a.m. descending half-orbit passes. SMAP L-band backscatter and brightness temperatures are used to derive soil moisture data, which are then resampled to an Earth-fixed, global, cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0). proprietary
SPL2SMAP_003 SMAP L2 Radar/Radiometer Half-Orbit 9 km EASE-Grid Soil Moisture V003 NSIDC_CPRD STAC Catalog 2015-04-13 2015-07-07 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2830464428-NSIDC_CPRD.umm_json This Level-2 (L2) soil moisture product provides estimates of global land surface conditions retrieved by both the Soil Moisture Active Passive (SMAP) radar and radiometer during 6:00 a.m. descending half-orbit passes. SMAP L-band backscatter and brightness temperatures are used to derive soil moisture data, which are then resampled to an Earth-fixed, global, cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0). proprietary
+SPL2SMAP_003 SMAP L2 Radar/Radiometer Half-Orbit 9 km EASE-Grid Soil Moisture V003 NSIDC_ECS STAC Catalog 2015-04-13 2015-07-07 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C1236303829-NSIDC_ECS.umm_json This Level-2 (L2) soil moisture product provides estimates of global land surface conditions retrieved by both the Soil Moisture Active Passive (SMAP) radar and radiometer during 6:00 a.m. descending half-orbit passes. SMAP L-band backscatter and brightness temperatures are used to derive soil moisture data, which are then resampled to an Earth-fixed, global, cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0). proprietary
SPL2SMAP_S_003 SMAP/Sentinel-1 L2 Radiometer/Radar 30-Second Scene 3 km EASE-Grid Soil Moisture V003 NSIDC_ECS STAC Catalog 2015-03-31 -180, -60, 180, 60 https://cmr.earthdata.nasa.gov/search/concepts/C1931663473-NSIDC_ECS.umm_json This Level-2 (L2) soil moisture product provides estimates of land surface conditions retrieved by both the Soil Moisture Active Passive (SMAP) radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes and the Sentinel-1A and -1B radar. SMAP L-band brightness temperatures and Copernicus Sentinel-1 C-band backscatter coefficients are used to derive soil moisture data, which are then resampled to an Earth-fixed, cylindrical 3 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0). While the 3 km data product has undergone validation, the 1 km product has not and should be used with caution. proprietary
SPL2SMAP_S_003 SMAP/Sentinel-1 L2 Radiometer/Radar 30-Second Scene 3 km EASE-Grid Soil Moisture V003 NSIDC_CPRD STAC Catalog 2015-03-31 -180, -60, 180, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2938663471-NSIDC_CPRD.umm_json This Level-2 (L2) soil moisture product provides estimates of land surface conditions retrieved by both the Soil Moisture Active Passive (SMAP) radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes and the Sentinel-1A and -1B radar. SMAP L-band brightness temperatures and Copernicus Sentinel-1 C-band backscatter coefficients are used to derive soil moisture data, which are then resampled to an Earth-fixed, cylindrical 3 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0). While the 3 km data product has undergone validation, the 1 km product has not and should be used with caution. proprietary
SPL2SMA_003 SMAP L2 Radar Half-Orbit 3 km EASE-Grid Soil Moisture V003 NSIDC_ECS STAC Catalog 2015-04-13 2015-07-07 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C1236303826-NSIDC_ECS.umm_json This Level-2 (L2) soil moisture product provides estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) active radar during 6:00 a.m. descending half-orbit passes, as well as ancillary data such as surface temperature and vegetation water content. Input backscatter data used to derive soil moisture are resampled to an Earth-fixed, global, cylindrical 3 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0). proprietary
SPL2SMA_003 SMAP L2 Radar Half-Orbit 3 km EASE-Grid Soil Moisture V003 NSIDC_CPRD STAC Catalog 2015-04-13 2015-07-07 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2812935277-NSIDC_CPRD.umm_json This Level-2 (L2) soil moisture product provides estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) active radar during 6:00 a.m. descending half-orbit passes, as well as ancillary data such as surface temperature and vegetation water content. Input backscatter data used to derive soil moisture are resampled to an Earth-fixed, global, cylindrical 3 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0). proprietary
SPL2SMP_008 SMAP L2 Radiometer Half-Orbit 36 km EASE-Grid Soil Moisture V008 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2136471610-NSIDC_ECS.umm_json This Level-2 (L2) soil moisture product provides estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) passive microwave radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. SMAP L-band brightness temperatures are resampled to an Earth-fixed, global, cylindrical 36 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) [and made available as the SPL1CTB product], and the gridded brightness temperatures are then used to derive gridded soil moisture data. proprietary
-SPL2SMP_009 SMAP L2 Radiometer Half-Orbit 36 km EASE-Grid Soil Moisture V009 NSIDC_CPRD STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2938663609-NSIDC_CPRD.umm_json This Level-2 (L2) soil moisture product provides estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) passive microwave radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. SMAP L-band brightness temperatures are resampled to an Earth-fixed, global, cylindrical 36 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) [and made available as the SPL1CTB product], and the gridded brightness temperatures are then used to derive gridded soil moisture data. proprietary
SPL2SMP_009 SMAP L2 Radiometer Half-Orbit 36 km EASE-Grid Soil Moisture V009 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2776463734-NSIDC_ECS.umm_json This Level-2 (L2) soil moisture product provides estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) passive microwave radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. SMAP L-band brightness temperatures are resampled to an Earth-fixed, global, cylindrical 36 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) [and made available as the SPL1CTB product], and the gridded brightness temperatures are then used to derive gridded soil moisture data. proprietary
+SPL2SMP_009 SMAP L2 Radiometer Half-Orbit 36 km EASE-Grid Soil Moisture V009 NSIDC_CPRD STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2938663609-NSIDC_CPRD.umm_json This Level-2 (L2) soil moisture product provides estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) passive microwave radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. SMAP L-band brightness temperatures are resampled to an Earth-fixed, global, cylindrical 36 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) [and made available as the SPL1CTB product], and the gridded brightness temperatures are then used to derive gridded soil moisture data. proprietary
SPL2SMP_E_005 SMAP Enhanced L2 Radiometer Half-Orbit 9 km EASE-Grid Soil Moisture V005 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2136471686-NSIDC_ECS.umm_json This enhanced Level-2 (L2) product contains calibrated, geolocated, brightness temperatures acquired by the Soil Moisture Active Passive (SMAP) radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. This product is derived from SMAP Level-1B (L1B) interpolated antenna temperatures. Backus-Gilbert optimal interpolation techniques are used to extract maximum information from SMAP antenna temperatures and convert them to brightness temperatures, which are posted to the 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in a global cylindrical projection [available as the SPl1CTB_E product]. As of 2021, the data are also posted to the Northern Hemisphere EASE-Grid 2.0, an azimuthal equal-area projection. These 9-km brightness temperatures are then used to retrieve surface soil moisture posted on the 9-km grid [this SPL2SMP_E product]. proprietary
SPL2SMP_E_006 SMAP Enhanced L2 Radiometer Half-Orbit 9 km EASE-Grid Soil Moisture V006 NSIDC_CPRD STAC Catalog 2015-03-31 -180, -85.044, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2938663676-NSIDC_CPRD.umm_json This enhanced Level-2 (L2) product contains calibrated, geolocated, brightness temperatures acquired by the Soil Moisture Active Passive (SMAP) radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. This product is derived from SMAP Level-1B (L1B) interpolated antenna temperatures. Backus-Gilbert optimal interpolation techniques are used to extract maximum information from SMAP antenna temperatures and convert them to brightness temperatures, which are posted to the 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in a global cylindrical projection [available as the SPl1CTB_E product]. As of 2021, the data are also posted to the Northern Hemisphere EASE-Grid 2.0, an azimuthal equal-area projection. These 9-km brightness temperatures are then used to retrieve surface soil moisture posted on the 9-km grid [this SPL2SMP_E product]. proprietary
SPL2SMP_E_006 SMAP Enhanced L2 Radiometer Half-Orbit 9 km EASE-Grid Soil Moisture V006 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2776463773-NSIDC_ECS.umm_json This enhanced Level-2 (L2) product contains calibrated, geolocated, brightness temperatures acquired by the Soil Moisture Active Passive (SMAP) radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. This product is derived from SMAP Level-1B (L1B) interpolated antenna temperatures. Backus-Gilbert optimal interpolation techniques are used to extract maximum information from SMAP antenna temperatures and convert them to brightness temperatures, which are posted to the 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in a global cylindrical projection [available as the SPl1CTB_E product]. As of 2021, the data are also posted to the Northern Hemisphere EASE-Grid 2.0, an azimuthal equal-area projection. These 9-km brightness temperatures are then used to retrieve surface soil moisture posted on the 9-km grid [this SPL2SMP_E product]. proprietary
@@ -12984,31 +12997,31 @@ SPL3FTP_003 SMAP L3 Radiometer Global and Northern Hemisphere Daily 36 km EASE-G
SPL3FTP_004 SMAP L3 Radiometer Global and Northern Hemisphere Daily 36 km EASE-Grid Freeze/Thaw State V004 NSIDC_CPRD STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2938664170-NSIDC_CPRD.umm_json This Level-3 (L3) product provides a daily composite of landscape freeze/thaw conditions retrieved by the Soil Moisture Active Passive (SMAP) radiometer from 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. SMAP L-band brightness temperatures are used to derive freeze/thaw state and transition data, which are then resampled to both an Earth-fixed, Northern Hemisphere azimuthal 36 km Equal-Area Scalable Earth Grid (EASE-Grid 2.0), and to an Earth-fixed global 36 km EASE-Grid 2.0. proprietary
SPL3FTP_004 SMAP L3 Radiometer Global and Northern Hemisphere Daily 36 km EASE-Grid Freeze/Thaw State V004 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2776463838-NSIDC_ECS.umm_json This Level-3 (L3) product provides a daily composite of landscape freeze/thaw conditions retrieved by the Soil Moisture Active Passive (SMAP) radiometer from 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. SMAP L-band brightness temperatures are used to derive freeze/thaw state and transition data, which are then resampled to both an Earth-fixed, Northern Hemisphere azimuthal 36 km Equal-Area Scalable Earth Grid (EASE-Grid 2.0), and to an Earth-fixed global 36 km EASE-Grid 2.0. proprietary
SPL3FTP_E_003 SMAP Enhanced L3 Radiometer Global and Northern Hemisphere Daily 9 km EASE-Grid Freeze/Thaw State V003 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C1931660840-NSIDC_ECS.umm_json This enhanced Level-3 (L3) product provides a daily composite of global and Northern Hemisphere landscape freeze/thaw conditions retrieved by the Soil Moisture Active Passive (SMAP) radiometer from 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. This product is derived from SMAP enhanced Level-1C brightness temperatures (SPL1CTB_E). Backus-Gilbert optimal interpolation techniques are used to extract maximum information from SMAP antenna temperatures and convert them to brightness temperatures. The data are then posted to two 9 km Earth-fixed, Equal-Area Scalable Earth Grids, Version 2.0 (EASE-Grid 2.0): a global cylindrical and a Northern Hemisphere azimuthal. proprietary
-SPL3FTP_E_004 SMAP Enhanced L3 Radiometer Global and Northern Hemisphere Daily 9 km EASE-Grid Freeze/Thaw State V004 NSIDC_CPRD STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2938664439-NSIDC_CPRD.umm_json This enhanced Level-3 (L3) product provides a daily composite of global and Northern Hemisphere landscape freeze/thaw conditions retrieved by the Soil Moisture Active Passive (SMAP) radiometer from 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. This product is derived from SMAP enhanced Level-1C brightness temperatures (SPL1CTB_E). Backus-Gilbert optimal interpolation techniques are used to extract maximum information from SMAP antenna temperatures and convert them to brightness temperatures. The data are then posted to two 9 km Earth-fixed, Equal-Area Scalable Earth Grids, Version 2.0 (EASE-Grid 2.0): a global cylindrical and a Northern Hemisphere azimuthal. proprietary
SPL3FTP_E_004 SMAP Enhanced L3 Radiometer Global and Northern Hemisphere Daily 9 km EASE-Grid Freeze/Thaw State V004 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2776463920-NSIDC_ECS.umm_json This enhanced Level-3 (L3) product provides a daily composite of global and Northern Hemisphere landscape freeze/thaw conditions retrieved by the Soil Moisture Active Passive (SMAP) radiometer from 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. This product is derived from SMAP enhanced Level-1C brightness temperatures (SPL1CTB_E). Backus-Gilbert optimal interpolation techniques are used to extract maximum information from SMAP antenna temperatures and convert them to brightness temperatures. The data are then posted to two 9 km Earth-fixed, Equal-Area Scalable Earth Grids, Version 2.0 (EASE-Grid 2.0): a global cylindrical and a Northern Hemisphere azimuthal. proprietary
-SPL3SMAP_003 SMAP L3 Radar/Radiometer Global Daily 9 km EASE-Grid Soil Moisture V003 NSIDC_ECS STAC Catalog 2015-04-13 2015-07-07 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C1236303847-NSIDC_ECS.umm_json This Level-3 (L3) soil moisture product provides a daily composite of global land surface conditions retrieved by both the Soil Moisture Active Passive (SMAP) radar and radiometer. SMAP L-band soil moisture data are resampled to an Earth-fixed, global, cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0). proprietary
+SPL3FTP_E_004 SMAP Enhanced L3 Radiometer Global and Northern Hemisphere Daily 9 km EASE-Grid Freeze/Thaw State V004 NSIDC_CPRD STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2938664439-NSIDC_CPRD.umm_json This enhanced Level-3 (L3) product provides a daily composite of global and Northern Hemisphere landscape freeze/thaw conditions retrieved by the Soil Moisture Active Passive (SMAP) radiometer from 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes. This product is derived from SMAP enhanced Level-1C brightness temperatures (SPL1CTB_E). Backus-Gilbert optimal interpolation techniques are used to extract maximum information from SMAP antenna temperatures and convert them to brightness temperatures. The data are then posted to two 9 km Earth-fixed, Equal-Area Scalable Earth Grids, Version 2.0 (EASE-Grid 2.0): a global cylindrical and a Northern Hemisphere azimuthal. proprietary
SPL3SMAP_003 SMAP L3 Radar/Radiometer Global Daily 9 km EASE-Grid Soil Moisture V003 NSIDC_CPRD STAC Catalog 2015-04-13 2015-07-07 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2872767144-NSIDC_CPRD.umm_json This Level-3 (L3) soil moisture product provides a daily composite of global land surface conditions retrieved by both the Soil Moisture Active Passive (SMAP) radar and radiometer. SMAP L-band soil moisture data are resampled to an Earth-fixed, global, cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0). proprietary
+SPL3SMAP_003 SMAP L3 Radar/Radiometer Global Daily 9 km EASE-Grid Soil Moisture V003 NSIDC_ECS STAC Catalog 2015-04-13 2015-07-07 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C1236303847-NSIDC_ECS.umm_json This Level-3 (L3) soil moisture product provides a daily composite of global land surface conditions retrieved by both the Soil Moisture Active Passive (SMAP) radar and radiometer. SMAP L-band soil moisture data are resampled to an Earth-fixed, global, cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0). proprietary
SPL3SMA_003 SMAP L3 Radar Global Daily 3 km EASE-Grid Soil Moisture V003 NSIDC_CPRD STAC Catalog 2015-04-13 2015-07-07 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2872766452-NSIDC_CPRD.umm_json This Level-3 (L3) soil moisture product provides a composite of daily estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) radar as well as a variety of ancillary data sources. SMAP L-band soil moisture data are resampled to an Earth-fixed, global, cylindrical 3 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0). proprietary
SPL3SMA_003 SMAP L3 Radar Global Daily 3 km EASE-Grid Soil Moisture V003 NSIDC_ECS STAC Catalog 2015-04-13 2015-07-07 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C1236303828-NSIDC_ECS.umm_json This Level-3 (L3) soil moisture product provides a composite of daily estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) radar as well as a variety of ancillary data sources. SMAP L-band soil moisture data are resampled to an Earth-fixed, global, cylindrical 3 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0). proprietary
SPL3SMP_008 SMAP L3 Radiometer Global Daily 36 km EASE-Grid Soil Moisture V008 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2136471705-NSIDC_ECS.umm_json This Level-3 (L3) soil moisture product provides a composite of daily estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) passive microwave radiometer. SMAP L-band soil moisture data are resampled to a global, cylindrical 36 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0). proprietary
SPL3SMP_009 SMAP L3 Radiometer Global Daily 36 km EASE-Grid Soil Moisture V009 NSIDC_CPRD STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2938664585-NSIDC_CPRD.umm_json This Level-3 (L3) soil moisture product provides a composite of daily estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) passive microwave radiometer. SMAP L-band soil moisture data are resampled to a global, cylindrical 36 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0). proprietary
SPL3SMP_009 SMAP L3 Radiometer Global Daily 36 km EASE-Grid Soil Moisture V009 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2776463935-NSIDC_ECS.umm_json This Level-3 (L3) soil moisture product provides a composite of daily estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) passive microwave radiometer. SMAP L-band soil moisture data are resampled to a global, cylindrical 36 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0). proprietary
SPL3SMP_E_005 SMAP Enhanced L3 Radiometer Global and Polar Grid Daily 9 km EASE-Grid Soil Moisture V005 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2136471727-NSIDC_ECS.umm_json This enhanced Level-3 (L3) soil moisture product provides a composite of daily estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) radiometer. This product is a daily composite of SMAP Level-2 (L2) soil moisture which is derived from SMAP Level-1C (L1C) interpolated brightness temperatures. Backus-Gilbert optimal interpolation techniques are used to extract information from SMAP antenna temperatures and convert them to brightness temperatures, which are posted to the 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in a global cylindrical projection. As of 2021, the data are also posted to the Northern Hemisphere EASE-Grid 2.0, an azimuthal equal-area projection. proprietary
-SPL3SMP_E_006 SMAP Enhanced L3 Radiometer Global and Polar Grid Daily 9 km EASE-Grid Soil Moisture V006 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2776463943-NSIDC_ECS.umm_json This enhanced Level-3 (L3) soil moisture product provides a composite of daily estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) radiometer. This product is a daily composite of SMAP Level-2 (L2) soil moisture which is derived from SMAP Level-1C (L1C) interpolated brightness temperatures. Backus-Gilbert optimal interpolation techniques are used to extract information from SMAP antenna temperatures and convert them to brightness temperatures, which are posted to the 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in a global cylindrical projection. As of 2021, the data are also posted to the Northern Hemisphere EASE-Grid 2.0, an azimuthal equal-area projection. proprietary
SPL3SMP_E_006 SMAP Enhanced L3 Radiometer Global and Polar Grid Daily 9 km EASE-Grid Soil Moisture V006 NSIDC_CPRD STAC Catalog 2015-03-31 -180, -85.044, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2938664763-NSIDC_CPRD.umm_json This enhanced Level-3 (L3) soil moisture product provides a composite of daily estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) radiometer. This product is a daily composite of SMAP Level-2 (L2) soil moisture which is derived from SMAP Level-1C (L1C) interpolated brightness temperatures. Backus-Gilbert optimal interpolation techniques are used to extract information from SMAP antenna temperatures and convert them to brightness temperatures, which are posted to the 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in a global cylindrical projection. As of 2021, the data are also posted to the Northern Hemisphere EASE-Grid 2.0, an azimuthal equal-area projection. proprietary
-SPL4CMDL_007 SMAP L4 Global Daily 9 km EASE-Grid Carbon Net Ecosystem Exchange V007 NSIDC_CPRD STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2938665243-NSIDC_CPRD.umm_json The Level-4 (L4) carbon product (SPL4CMDL) provides global gridded daily estimates of net ecosystem carbon (CO2) exchange derived using a satellite data based terrestrial carbon flux model informed by the following: Soil Moisture Active Passive (SMAP) L-band microwave observations, land cover and vegetation inputs from the Moderate Resolution Imaging Spectroradiometer (MODIS), Visible Infrared Imaging Radiometer Suite (VIIRS), and the Goddard Earth Observing System Model, Version 5 (GEOS-5) land model assimilation system. Parameters are computed using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection. proprietary
+SPL3SMP_E_006 SMAP Enhanced L3 Radiometer Global and Polar Grid Daily 9 km EASE-Grid Soil Moisture V006 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2776463943-NSIDC_ECS.umm_json This enhanced Level-3 (L3) soil moisture product provides a composite of daily estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) radiometer. This product is a daily composite of SMAP Level-2 (L2) soil moisture which is derived from SMAP Level-1C (L1C) interpolated brightness temperatures. Backus-Gilbert optimal interpolation techniques are used to extract information from SMAP antenna temperatures and convert them to brightness temperatures, which are posted to the 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in a global cylindrical projection. As of 2021, the data are also posted to the Northern Hemisphere EASE-Grid 2.0, an azimuthal equal-area projection. proprietary
SPL4CMDL_007 SMAP L4 Global Daily 9 km EASE-Grid Carbon Net Ecosystem Exchange V007 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2534576405-NSIDC_ECS.umm_json The Level-4 (L4) carbon product (SPL4CMDL) provides global gridded daily estimates of net ecosystem carbon (CO2) exchange derived using a satellite data based terrestrial carbon flux model informed by the following: Soil Moisture Active Passive (SMAP) L-band microwave observations, land cover and vegetation inputs from the Moderate Resolution Imaging Spectroradiometer (MODIS), Visible Infrared Imaging Radiometer Suite (VIIRS), and the Goddard Earth Observing System Model, Version 5 (GEOS-5) land model assimilation system. Parameters are computed using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection. proprietary
-SPL4SMAU_007 SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update V007 NSIDC_CPRD STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2938665508-NSIDC_CPRD.umm_json SMAP Level-4 (L4) surface and root zone soil moisture data are provided in three products: - SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data (SPL4SMGP, DOI: 10.5067/EVKPQZ4AFC4D)
- SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update (SPL4SMAU, DOI: 10.5067/LWJ6TF5SZRG3)
- SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants (SPL4SMLM, DOI: 10.5067/KN96XNPZM4EG).
For each product, SMAP L-band brightness temperature data from descending and ascending half-orbit satellite passes (approximately 6:00 a.m. and 6:00 p.m. local solar time, respectively) are assimilated into a land surface model that is gridded using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection. proprietary
+SPL4CMDL_007 SMAP L4 Global Daily 9 km EASE-Grid Carbon Net Ecosystem Exchange V007 NSIDC_CPRD STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2938665243-NSIDC_CPRD.umm_json The Level-4 (L4) carbon product (SPL4CMDL) provides global gridded daily estimates of net ecosystem carbon (CO2) exchange derived using a satellite data based terrestrial carbon flux model informed by the following: Soil Moisture Active Passive (SMAP) L-band microwave observations, land cover and vegetation inputs from the Moderate Resolution Imaging Spectroradiometer (MODIS), Visible Infrared Imaging Radiometer Suite (VIIRS), and the Goddard Earth Observing System Model, Version 5 (GEOS-5) land model assimilation system. Parameters are computed using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection. proprietary
SPL4SMAU_007 SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update V007 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2537927247-NSIDC_ECS.umm_json SMAP Level-4 (L4) surface and root zone soil moisture data are provided in three products: - SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data (SPL4SMGP, DOI: 10.5067/EVKPQZ4AFC4D)
- SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update (SPL4SMAU, DOI: 10.5067/LWJ6TF5SZRG3)
- SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants (SPL4SMLM, DOI: 10.5067/KN96XNPZM4EG).
For each product, SMAP L-band brightness temperature data from descending and ascending half-orbit satellite passes (approximately 6:00 a.m. and 6:00 p.m. local solar time, respectively) are assimilated into a land surface model that is gridded using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection. proprietary
-SPL4SMGP_007 SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data V007 NSIDC_CPRD STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2938665761-NSIDC_CPRD.umm_json SMAP Level-4 (L4) surface and root zone soil moisture data are provided in three products: * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data (SPL4SMGP, DOI: 10.5067/EVKPQZ4AFC4D) * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update (SPL4SMAU, DOI: 10.5067/LWJ6TF5SZRG3) * SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants (SPL4SMLM, DOI: 10.5067/KN96XNPZM4EG). For each product, SMAP L-band brightness temperature data from descending and ascending half-orbit satellite passes (approximately 6:00 a.m. and 6:00 p.m. local solar time, respectively) are assimilated into a land surface model that is gridded using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection. proprietary
+SPL4SMAU_007 SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update V007 NSIDC_CPRD STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2938665508-NSIDC_CPRD.umm_json SMAP Level-4 (L4) surface and root zone soil moisture data are provided in three products: - SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data (SPL4SMGP, DOI: 10.5067/EVKPQZ4AFC4D)
- SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update (SPL4SMAU, DOI: 10.5067/LWJ6TF5SZRG3)
- SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants (SPL4SMLM, DOI: 10.5067/KN96XNPZM4EG).
For each product, SMAP L-band brightness temperature data from descending and ascending half-orbit satellite passes (approximately 6:00 a.m. and 6:00 p.m. local solar time, respectively) are assimilated into a land surface model that is gridded using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection. proprietary
SPL4SMGP_007 SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data V007 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2531308461-NSIDC_ECS.umm_json SMAP Level-4 (L4) surface and root zone soil moisture data are provided in three products: * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data (SPL4SMGP, DOI: 10.5067/EVKPQZ4AFC4D) * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update (SPL4SMAU, DOI: 10.5067/LWJ6TF5SZRG3) * SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants (SPL4SMLM, DOI: 10.5067/KN96XNPZM4EG). For each product, SMAP L-band brightness temperature data from descending and ascending half-orbit satellite passes (approximately 6:00 a.m. and 6:00 p.m. local solar time, respectively) are assimilated into a land surface model that is gridded using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection. proprietary
-SPL4SMLM_007 SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants V007 NSIDC_CPRD STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2938666109-NSIDC_CPRD.umm_json SMAP Level-4 (L4) surface and root zone soil moisture data are provided in three products: * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data (SPL4SMGP, DOI: 10.5067/EVKPQZ4AFC4D) * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update (SPL4SMAU, DOI: 10.5067/LWJ6TF5SZRG3) * SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants (SPL4SMLM, DOI: 10.5067/KN96XNPZM4EG). For each product, SMAP L-band brightness temperature data from descending and ascending half-orbit satellite passes (approximately 6:00 a.m. and 6:00 p.m. local solar time, respectively) are assimilated into a land surface model that is gridded using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection. proprietary
+SPL4SMGP_007 SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data V007 NSIDC_CPRD STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2938665761-NSIDC_CPRD.umm_json SMAP Level-4 (L4) surface and root zone soil moisture data are provided in three products: * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data (SPL4SMGP, DOI: 10.5067/EVKPQZ4AFC4D) * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update (SPL4SMAU, DOI: 10.5067/LWJ6TF5SZRG3) * SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants (SPL4SMLM, DOI: 10.5067/KN96XNPZM4EG). For each product, SMAP L-band brightness temperature data from descending and ascending half-orbit satellite passes (approximately 6:00 a.m. and 6:00 p.m. local solar time, respectively) are assimilated into a land surface model that is gridded using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection. proprietary
SPL4SMLM_007 SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants V007 NSIDC_ECS STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2537926833-NSIDC_ECS.umm_json SMAP Level-4 (L4) surface and root zone soil moisture data are provided in three products: * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data (SPL4SMGP, DOI: 10.5067/EVKPQZ4AFC4D) * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update (SPL4SMAU, DOI: 10.5067/LWJ6TF5SZRG3) * SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants (SPL4SMLM, DOI: 10.5067/KN96XNPZM4EG). For each product, SMAP L-band brightness temperature data from descending and ascending half-orbit satellite passes (approximately 6:00 a.m. and 6:00 p.m. local solar time, respectively) are assimilated into a land surface model that is gridded using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection. proprietary
-SPOT-6.and.7.ESA.archive_NA SPOT-6 and 7 ESA archive ESA STAC Catalog 2012-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336951-ESA.umm_json The SPOT 6 and 7 ESA archive is a dataset of SPOT 6 and SPOT 7 products that ESA collected over the years. The dataset regularly grows as ESA collects new SPOT 6 and 7 products. SPOT 6 and 7 Primary, Projected and Ortho products are available in the following modes: Panchromatic image at 1.5m resolution Pansharpened colour image at 1.5m resolution Multispectral image in 4 spectral bands at 6m resolution Bundle (1.5m panchromatic image + 6m multispectral image) proprietary
-SPOT1-5_NA SPOT1-5 ESA archive ESA STAC Catalog 1986-04-01 2015-09-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1532648155-ESA.umm_json The ESA SPOT1-5 collection is a dataset of SPOT-1 to 5 Panchromatic and Multispectral products that ESA collected over the years. The HRV(IR) sensor onboard SPOT 1-4 provides data at 10 m spatial resolution Panchromatic mode (-1 band) and 20 m (Multispectral mode -3 or 4 bands). The HRG sensor on board of SPOT-5 provides spatial resolution of the imagery to < 3 m in the panchromatic band and to 10 m in the multispectral mode (3 bands). The SWIR band imagery remains at 20 m. The dataset mainly focuses on European and African sites but some American, Asian and Greenland areas are also covered. proprietary
-SPOT4-5_Take5.ESAarchive_NA SPOT 4-5 Take5 ESA archive ESA STAC Catalog 2013-01-31 2015-09-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336953-ESA.umm_json At the end of SPOT-4 life, the Take5 experiment was launched and the satellite was moved to a lower orbit to obtain a 5 day repeat cycle, same repetition of Sentinel-2. Thanks to this orbit, from 1st of Feb to 19th of June 2013 a time series of images acquired every 5 days with constant angle and over 45 different sites were observed. In analogy to the previous SPOT-4 Take-5 experiment, also SPOT-5 was placed in a 5 days cycle orbit and 145 selected sites were acquired every 5 days under constant angles from 8th of April to 31st of August 2015. With a resolution of 10 m, the following processing levels are available: Level 1A: reflectance at the top of atmosphere (TOA), not orthorectified products Level 1C: data orthorectified reflectance at the top of atmosphere (TOA) Level 2A: data orthorectified surface reflectance after atmospheric correction (BOA), along with clouds mask and their shadow, and mask of water and snow. proprietary
+SPL4SMLM_007 SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants V007 NSIDC_CPRD STAC Catalog 2015-03-31 -180, -85.044, 180, 85.044 https://cmr.earthdata.nasa.gov/search/concepts/C2938666109-NSIDC_CPRD.umm_json SMAP Level-4 (L4) surface and root zone soil moisture data are provided in three products: * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data (SPL4SMGP, DOI: 10.5067/EVKPQZ4AFC4D) * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update (SPL4SMAU, DOI: 10.5067/LWJ6TF5SZRG3) * SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants (SPL4SMLM, DOI: 10.5067/KN96XNPZM4EG). For each product, SMAP L-band brightness temperature data from descending and ascending half-orbit satellite passes (approximately 6:00 a.m. and 6:00 p.m. local solar time, respectively) are assimilated into a land surface model that is gridded using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection. proprietary
+SPOT-6.and.7.ESA.archive_9.0 SPOT-6 and 7 ESA archive ESA STAC Catalog 2012-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336951-ESA.umm_json The SPOT 6 and 7 ESA archive is a dataset of SPOT 6 and SPOT 7 products that ESA collected over the years. The dataset regularly grows as ESA collects new SPOT 6 and 7 products. SPOT 6 and 7 Primary and Ortho products can be available in the following modes: Panchromatic image at 1.5m resolution Pansharpened colour image at 1.5m resolution Multispectral image in 4 spectral bands at 6m resolution Bundle (1.5m panchromatic image + 6m multispectral image) Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/socat/SPOT6-7 available on the Third Party Missions Dissemination Service. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided. proprietary
+SPOT1-5_8.0 SPOT1-5 ESA archive ESA STAC Catalog 1986-04-01 2015-09-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1532648155-ESA.umm_json The ESA SPOT1-5 collection is a dataset of SPOT-1 to 5 Panchromatic and Multispectral products that ESA collected over the years. The HRV(IR) sensor onboard SPOT 1-4 provides data at 10 m spatial resolution Panchromatic mode (-1 band) and 20 m (Multispectral mode -3 or 4 bands). The HRG sensor on board of SPOT-5 provides spatial resolution of the imagery to < 3 m in the panchromatic band and to 10 m in the multispectral mode (3 bands). The SWIR band imagery remains at 20 m. The dataset mainly focuses on European and African sites but some American, Asian and Greenland areas are also covered. proprietary
+SPOT4-5_Take5.ESAarchive_7.0 SPOT 4-5 Take5 ESA archive ESA STAC Catalog 2013-01-31 2015-09-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336953-ESA.umm_json At the end of SPOT-4 life, the Take5 experiment was launched and the satellite was moved to a lower orbit to obtain a 5 day repeat cycle, same repetition of Sentinel-2. Thanks to this orbit, from 1st of Feb to 19th of June 2013 a time series of images acquired every 5 days with constant angle and over 45 different sites were observed. In analogy to the previous SPOT-4 Take-5 experiment, also SPOT-5 was placed in a 5 days cycle orbit and 145 selected sites were acquired every 5 days under constant angles from 8th of April to 31st of August 2015. With a resolution of 10 m, the following processing levels are available: Level 1A: reflectance at the top of atmosphere (TOA), not orthorectified products Level 1C: data orthorectified reflectance at the top of atmosphere (TOA) Level 2A: data orthorectified surface reflectance after atmospheric correction (BOA), along with clouds mask and their shadow, and mask of water and snow. proprietary
SPOT5_BEAVER_LOEWE_FEATURES_1 Beaver Lake and Loewe Massif Features Mapped from SPOT 5 Imagery. AU_AADC STAC Catalog 2004-01-11 2004-01-11 66.6, -71.01, 68.82, -70.29 https://cmr.earthdata.nasa.gov/search/concepts/C1214313824-AU_AADC.umm_json Beaver Lake and Loewe Massif Features Mapped from SPOT 5 Imagery. The purpose of this Australian Antarctic Data Centre project was to map features on and around Beaver Lake and the Loewe Massif using a rectified SPOT 5 satellite image. The image was captured on 11 January 2004. The features mapped were to be provided as a series of ArcInfo Coverages in Geographicals, conforming to the Feature Catalogue. Further information is provided in a downloadable report at the URL given below. A thumbnail of the image (ID number 167) is available via the Australian Antarctic Data Centre's Satellite Image Catalogue at the URL given below. proprietary
-SPOT67fullarchiveandtasking1_NA SPOT 6 & 7 full archive and tasking ESA STAC Catalog 2002-06-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2547572697-ESA.umm_json The SPOT 6 and 7 satellites ensure data continuity with the no longer operational SPOT 5 satellite and provide an archive of very high resolution optical acquisition as well as the possibility to task the satellites for new acquisitions. The ortho-products are automatically generated by the SPOT 6 and 7 ground segment, based on SRTM database or Reference3D when available. The projection available for SPOT 6 and 7 ortho-products is UTM, datum WGS84. Bands combinations: - Pansharpened: colour image at 1.5 m resolution - Bundle: 1.5 m panchromatic image and 6 m multispectral image Geometric processing levels: - Primary: The Primary product is the processing level closest to the natural image acquired by the sensor. This product restores perfect collection conditions: the sensor is placed in rectilinear geometry, and the image is clear of all radiometric distortion. - Standard Ortho: The Ortho product is a georeferenced image in Earth geometry, corrected from acquisition and terrain off-nadir effects. - Tailored ortho: Aside from the Standard Ortho product, when different specifications are needed, a custom orthorectification, with a more precise 3D model provided by the client or acquired for the purpose, can be provided on demand. proprietary
+SPOT67fullarchiveandtasking1_9.0 SPOT-6 to 7 full archive and tasking ESA STAC Catalog 2012-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2547572697-ESA.umm_json "The SPOT 6 and 7 satellites ensure data continuity with the no longer operational SPOT 5 satellite and provide an archive of very high resolution optical acquisition as well as the possibility to task the satellites for new acquisitions. Following the completion of the SPOT 7 mission in March 2023, new acquisition tasking is only available for the SPOT 6 satellite. The ortho-products are automatically generated by the SPOT 6 and 7 ground segment, based on SRTM database or Reference3D when available. The projection available for SPOT 6 and 7 ortho-products is UTM, datum WGS84. Bands combinations: • Panchromatic: black&white image at 1.5 m resolution • Pansharpened: 3-bands or 4 bands colour image at 1.5 m resolution • Multispectral: 4 bands image at 6m resolution • Bundle: 1.5 m panchromatic image and 6 m multispectral image, co-registered. Geometric processing levels: • Primary: The Primary product is the processing level closest to the natural image acquired by the sensor. This product restores perfect collection conditions: the sensor is placed in rectilinear geometry, and the image is clear of all radiometric distortion. • Ortho: The Ortho product is a georeferenced image in Earth geometry, corrected from acquisition and terrain off-nadir effects. Available in MONO acquisition mode only. Acquisition modes: • Mono • Stereo • Tristero To complement the traditional and fully customised ordering and download of selected SPOT, Pleiades or Pleiades Neo images in a variety of data formats, you can also subscribe to the OneAtlas Living Library package where the entire OneAtlas optical archive of ortho images is updated on a daily basis and made available for streaming or download. The Living Library consist of • less-than-18-months-old imagery • a curation of SPOT images with no cloud cover and less than 30° incidence angle • Pléiades images acquired worldwide with maximum 15% cloud cover and 30° Incidence Angle • Pléiades Neo premium imagery selection with 2% cloud cover and 30° incidence angle These are the available subscription packages (to be consumed withing one year from the activation) OneAtlas Living Library subscription package 1: up to 230 km2 Pleiades Neo or 430 km2 Pleiades or 1.500 km2 SPOT in download, up to 500 km2 Pleiades Neo or 2.000 km2 Pleiades or 7.500 km2 SPOT in streaming OneAtlas Living Library subscription package 2: up to 654 km2 Pleiades Neo or 1.214 km2 Pleiades or 4.250 km2 SPOT in download, up to 1417 km2 Pleiades Neo or 5.666 km2 Pleiades or 21.250 km2 SPOT in streaming OneAtlas Living Library subscription package 3: up to 1.161 km2 Pleiades Neo or 2.156 km2 Pleiades or 7.545 km2 SPOT in download, up to 2.515 km2 Pleiades Neo or 10.060 km2 Pleiades or 37.723 km2 SPOT in streaming As per ESA policy, very high-resolution imagery of conflict areas cannot be provided." proprietary
SPURS1_ADCP_1.0 SPURS-1 shipboard Acoustic Doppler Current Profiler data for N. Atlantic Endeavor and Knorr cruises POCLOUD STAC Catalog 2012-09-06 2013-10-13 -73, 20, -28, 42 https://cmr.earthdata.nasa.gov/search/concepts/C2491772166-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. Acoustic Doppler Current Profilers (ADCP) provide water column current velocity profile observations. Shipborne ADCP data were collected during the 3 US cruises, using the Knorr and Endeavor 300 kHz Workhorse, 75 khz broadband and 75 khz narrowband instruments, and during the Sarmiento cruise using a 76.8 khz broadband ADCP. Corresponding ruise dates were as follows: Knorr: 6 Sept-9 Oct 2012; Sarmiento: 14 Mar-10 Apr 2013, Endeavor: 15 Mar-15 Apr 2013 and 19 Sep-13 Oct 2013. Additionally, lowered ADCP (L-ADCP) measurements were made during the Knorr cruise on every CTD cast and during the Sarmiento cruise. The ADCP data files here (1 per cruise) are for the shipborne ADCP measurements only. proprietary
SPURS1_ARGO_1.0 Argo float CTD profile data within the scope of the SPURS-1 N. Atlantic field campaign POCLOUD STAC Catalog 2012-09-09 2014-08-21 -76, 23, -28, 41 https://cmr.earthdata.nasa.gov/search/concepts/C2491772167-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. Part of the Argo global network of autonomous, self-reporting samplers, Argo floats drift horizontally and move vertically through the water column generally on 10 day cycles, collecting high-quality temperature, conductivity and salinity depth profiles from the upper 2000m. Approximately 24 floats were deployed during SPURS-1 within the campaign domain, mainly during the Knorr cruise (6 Sept-9 Oct,2012). These were standard Argo floats with the addition of surface temperature and salinity (STS) sensors and acoustic rain gauges (PAL). Data accessible here only include the standard ARGO profiles, not the STS or PAL data. SPURS-1 ARGO data files are oganized per float and each contain profile trajectory series of conductivity, salinity, temperature, pressure, depth observations. proprietary
SPURS1_CTD_1.0 SPURS-1 research vessel CTD profile data for N. Atlantic cruises POCLOUD STAC Catalog 2012-08-16 2013-10-05 -63, 23, -37, 43 https://cmr.earthdata.nasa.gov/search/concepts/C2491772169-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. CTD (Conductivity, Temperature, Depth) profilers were deployed at stations on each of the 5 SPURS-1 cruises. These shipboard lowered CTD probes provide continuous conductivity, salinity, and temperature vertical profile observations at fixed sampling locations. There were 100, 52, 17, 22 and 94 CTD casts made during the Knorr, Endeavor-1, Endeavor-2, Sarmiento, and Thalassa cruises respectively. All CTD data were calibrated using shipboard salinometers using IAPSO standard seawater. SPURS-1 shipboard CTD data files (one per cruise) contain the observational data processed to 1 meter bin depth intervals. proprietary
@@ -13057,14 +13070,14 @@ SRE4_gammaproteobacteriaDGGE_1 Band pattern data from Gammaproteobacteria-group
SRE4_hydrocarbondegrading_MPN_2001_1 Hydrocarbon-degrading bacteria in SRE4 experiment by most probable number count AU_AADC STAC Catalog 2001-10-20 2001-12-30 110.3, -66.35, 110.35, -66.3 https://cmr.earthdata.nasa.gov/search/concepts/C1214311364-AU_AADC.umm_json Most probable number counts of bacteria in sediment samples from the Sediment Recruitment Experiment 4. Samples were taken immediately after the collection of sediment, after the addition of the oils to the sediment and after five weeks in-situ incubation. Sediment was treated by the addition of oil (four different types: synthetic lubricant, used synthetic lubricant, biodegradable lubricant and special Antarctic blend diesel) and the number of bacteria able to degrade components of Special Antarctic Blend diesel (SAB) was determined using an MPN method on a marine mineral medium with Special Antarctic Blend diesel as sole carbon source. Data are presented as the most-probable-number of bacteria per gram of wet sediment. See also the metadata record 'SRE4_hydrocarbondegrading_MPN_2006'. This work was completed as part of ASAC project 1228. The download file contains a readme which provides further information about the dataset, as well as an excel and csv copy of the data. proprietary
SRE4_hydrocarbondegrading_MPN_2006_1 Bacterial numbers in year five of SRE4 experiment by most probable number count AU_AADC STAC Catalog 2006-11-01 2006-12-20 110.3, -66.35, 110.35, -66.3 https://cmr.earthdata.nasa.gov/search/concepts/C1214311329-AU_AADC.umm_json Most probable number counts of bacteria in sediment samples from the Sediment Recruitment Experiment 4. Samples were taken immediately after the collection of sediment, after the addition of the oils to the sediment and after five years in situ incubation in O'Brien Bay near Casey station in the Windmill Islands region of Antarctica. Sediment was treated by the addition of oil (four different types: synthetic lubricant, used synthetic lubricant, biodegradable lubricant and special antarctic blend diesel) and the number of bacteria able to degrade components of Special Antarctic Blend diesel (SAB) was determined using an MPN method on a marine mineral medium with Special Antarctic Blend diesel as sole carbon source. The total number of aerobic heterotrophic bacteria present was also estimated for the control and SAB treatments using marine medium 2216 from Bacto. Data are presented as the most-probable-number of bacteria per gram of wet sediment. See also the metadata record 'SRE4_hydrocarbondegrading_MPN_2001'. This work was completed as part of ASAC projects 2201 and 2672 (ASAC_2201, ASAC_2672). More information about the dataset is presented on the summary worksheet of the download file - this information is copied below: 4 -tube Most probable number counts were carried out on sediment samples from the SRE4 experiment collected in Dec 2006. Sample names consist of: treatment:block: replicate where B = biodegradable oil C = control L = lubricant S = SAB diesel U = Used lubricant Blocks 3, 11, 18 and 20 were sampled in this season. 3 replicates (A,B,C) were carried out for each sample. Most probable number was calculated using the MPN Calculator available from: http:/members.ync.net/mcuriale/mpn/index.html Total heterotrophs were estimated for control and SAB treatments only. Using Difco marine medium 2216 in 96-well titre trays. 1:10 serial dilutions were performed in a total of 200 microlitres of medium (as indicated, some samples were done with 1:5 serial dilutions). Plates were incubated at 4 degrees C for 7 days. Plates were scored manually with visually turbid wells being positive. Numbers of SAB-degrading bacteria were estimated for all treatments. SAB-degrading bacteria were estimated using an artificial seawater broth (see reference below) and 5 microlitres of SAB as carbon source. 1:5 serial dilutions were made in a total of 200ul of medium. Plates were incubated at 4 degrees C for 4 weeks. At this time 40 microlitres of INT solution were added and incubated for another two days (INT = 2.25 g/l of iodonitrotetrazolium chloride). Plates were scored manually, with the presence of a red precipitate or red colour being positive. Numbers of alkane-degrading bacteria were estimated for control and SAB treatments only. n-alkane-degrading bacteria were estimated using an artificial seawater broth (see reference below) and 3 microlitres of a 1:1 mix of hexadecane and nonane as carbon source. 1:5 serial dilutions were made in a total of 200 microlitres of medium. Plates were incubated at 4 degrees C for 4 weeks. At this time 40 microlitres of INT solution were added and incubated for another two days (INT = 2.25 g/l of iodonitrotetrazolium chloride). Plates were scored manually, with the presence of a red precipitate or red colour being positive. proprietary
SRE4_tRFLP_all_1 Microbial diversity in the SRE4 marine biodegradation experiment AU_AADC STAC Catalog 2001-10-01 2006-12-20 110.51, -66.29, 110.53, -66.27 https://cmr.earthdata.nasa.gov/search/concepts/C1214311332-AU_AADC.umm_json The diversity of the microbial communities in each treatment in the SRE4 in situ biodegradation experiment were examined using terminal restriction fragment length polymorphism of the 16S rRNA gene. The SRE4 experiment was a field experiment that looked at the effect of synthetic lubricant, used synthetic lubricant, a biodegradable lubricant and special Antarctic blend (SAB) diesel on the marine benthic environment. Samples were collected at 5 weeks, 54 weeks, 65 weeks, 2 years and 5 years after deployment of the experimentally contaminated sediment. The samples used in this experiment were collected from O'Brien Bay, near Casey Station in the Windmill Islands. An information sheet is provided at the beginning of the excel workbook giving method information in detail. The dataset consists of list of t-RFs (fragment lengths) for each sample and also the statistical analysis for significant differences between treatment groups. This work was completed as part of ASAC project 2672 (ASAC_2672). proprietary
-SRTMGL1N_003 NASA Shuttle Radar Topography Mission Global 1 arc second number V003 LPCLOUD STAC Catalog 2000-02-11 2000-02-21 -180, -56, 180, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2763266368-LPCLOUD.umm_json "The Land Processes Distributed Active Archive Center (LP DAAC) is responsible for the archive and distribution of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) version SRTM, which includes the global 1 arc second (~30 meter) product. NASA Shuttle Radar Topography Mission (SRTM) datasets result from a collaborative effort by the National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA - previously known as the National Imagery and Mapping Agency, or NIMA), as well as the participation of the German and Italian space agencies. The purpose of SRTM was to generate a near-global digital elevation model (DEM) of the Earth using radar interferometry. SRTM was a primary component of the payload on the Space Shuttle Endeavour during its STS-99 mission. Endeavour launched February 11, 2000 and flew for 11 days. Each SRTMGL1 data tile contains a mosaic and blending of elevations generated by averaging all ""data takes"" that fall within that tile. These elevation files use the extension “.HGT”, meaning height (such as N37W105.SRTMGL1.HGT). The primary goal of creating the Version 3 data was to eliminate voids that were present in earlier versions of SRTM data. In areas with limited data, existing topographical data were used to supplement the SRTM data to fill the voids. The source of each elevation pixel is identified in the corresponding SRTMGL1N (https://doi.org/10.5067/MEaSUREs/SRTM/SRTMGL1N.003) product (such as N37W105.SRTMGL1N.NUM). SRTM collected data in swaths, which extend from ~30 degrees off-nadir to ~58 degrees off-nadir from an altitude of 233 kilometers (km). These swaths are ~225 km wide, and consisted of all land between 60° N and 56° S latitude. This accounts for about 80% of Earth’s total landmass. Improvements/Changes from Previous Versions * Voids in the Version 3.0 products have been filled with ASTER Global Digital Elevation Model (GDEM) Version 2.0, the Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010), and the National Elevation Dataset (NED). " proprietary
-SRTMGL1_003 NASA Shuttle Radar Topography Mission Global 1 arc second V003 LPCLOUD STAC Catalog 2000-02-11 2000-02-21 -180, -56, 180, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2763266360-LPCLOUD.umm_json "The Land Processes Distributed Active Archive Center (LP DAAC) is responsible for the archive and distribution of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) version SRTM, which includes the global 1 arc second (~30 meter) product. NASA Shuttle Radar Topography Mission (SRTM) datasets result from a collaborative effort by the National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA - previously known as the National Imagery and Mapping Agency, or NIMA), as well as the participation of the German and Italian space agencies. The purpose of SRTM was to generate a near-global digital elevation model (DEM) of the Earth using radar interferometry. SRTM was a primary component of the payload on the Space Shuttle Endeavour during its STS-99 mission. Endeavour launched February 11, 2000 and flew for 11 days. Each SRTMGL1 data tile contains a mosaic and blending of elevations generated by averaging all ""data takes"" that fall within that tile. These elevation files use the extension “.HGT”, meaning height (such as N37W105.SRTMGL1.HGT). The primary goal of creating the Version 3 data was to eliminate voids that were present in earlier versions of SRTM data. In areas with limited data, existing topographical data were used to supplement the SRTM data to fill the voids. The source of each elevation pixel is identified in the corresponding (SRTMGL1N) (https://doi.org/10.5067/MEaSUREs/SRTM/SRTMGL1N.003) product (such as N37W105.SRTMGL1N.NUM). SRTM collected data in swaths, which extend from ~30 degrees off-nadir to ~58 degrees off-nadir from an altitude of 233 kilometers (km). These swaths are ~225 km wide, and consisted of all land between 60° N and 56° S latitude. This accounts for about 80% of Earth’s total landmass. " proprietary
+SRTMGL1N_003 NASA Shuttle Radar Topography Mission Global 1 arc second number V003 LPCLOUD STAC Catalog 2000-02-11 2000-02-21 -180, -56, 180, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2763266368-LPCLOUD.umm_json "The Land Processes Distributed Active Archive Center (LP DAAC) is responsible for the archive and distribution of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/about/competitive-programs/measures) version SRTM, which includes the global 1 arc second (~30 meter) product. NASA Shuttle Radar Topography Mission (SRTM) datasets result from a collaborative effort by the National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA - previously known as the National Imagery and Mapping Agency, or NIMA), as well as the participation of the German and Italian space agencies. The purpose of SRTM was to generate a near-global digital elevation model (DEM) of the Earth using radar interferometry. SRTM was a primary component of the payload on the Space Shuttle Endeavour during its STS-99 mission. Endeavour launched February 11, 2000 and flew for 11 days. Each SRTMGL1 data tile contains a mosaic and blending of elevations generated by averaging all ""data takes"" that fall within that tile. These elevation files use the extension “.HGT”, meaning height (such as N37W105.SRTMGL1.HGT). The primary goal of creating the Version 3 data was to eliminate voids that were present in earlier versions of SRTM data. In areas with limited data, existing topographical data were used to supplement the SRTM data to fill the voids. The source of each elevation pixel is identified in the corresponding SRTMGL1N (https://doi.org/10.5067/MEaSUREs/SRTM/SRTMGL1N.003) product (such as N37W105.SRTMGL1N.NUM). SRTM collected data in swaths, which extend from ~30 degrees off-nadir to ~58 degrees off-nadir from an altitude of 233 kilometers (km). These swaths are ~225 km wide, and consisted of all land between 60° N and 56° S latitude. This accounts for about 80% of Earth’s total landmass. Improvements/Changes from Previous Versions * Voids in the Version 3.0 products have been filled with ASTER Global Digital Elevation Model (GDEM) Version 2.0, the Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010), and the National Elevation Dataset (NED). " proprietary
+SRTMGL1_003 NASA Shuttle Radar Topography Mission Global 1 arc second V003 LPCLOUD STAC Catalog 2000-02-11 2000-02-21 -180, -56, 180, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2763266360-LPCLOUD.umm_json "The Land Processes Distributed Active Archive Center (LP DAAC) is responsible for the archive and distribution of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/about/competitive-programs/measures) version SRTM, which includes the global 1 arc second (~30 meter) product. NASA Shuttle Radar Topography Mission (SRTM) datasets result from a collaborative effort by the National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA - previously known as the National Imagery and Mapping Agency, or NIMA), as well as the participation of the German and Italian space agencies. The purpose of SRTM was to generate a near-global digital elevation model (DEM) of the Earth using radar interferometry. SRTM was a primary component of the payload on the Space Shuttle Endeavour during its STS-99 mission. Endeavour launched February 11, 2000 and flew for 11 days. Each SRTMGL1 data tile contains a mosaic and blending of elevations generated by averaging all ""data takes"" that fall within that tile. These elevation files use the extension “.HGT”, meaning height (such as N37W105.SRTMGL1.HGT). The primary goal of creating the Version 3 data was to eliminate voids that were present in earlier versions of SRTM data. In areas with limited data, existing topographical data were used to supplement the SRTM data to fill the voids. The source of each elevation pixel is identified in the corresponding (SRTMGL1N) (https://doi.org/10.5067/MEaSUREs/SRTM/SRTMGL1N.003) product (such as N37W105.SRTMGL1N.NUM). SRTM collected data in swaths, which extend from ~30 degrees off-nadir to ~58 degrees off-nadir from an altitude of 233 kilometers (km). These swaths are ~225 km wide, and consisted of all land between 60° N and 56° S latitude. This accounts for about 80% of Earth’s total landmass. " proprietary
SRTMGL1_NC_003 NASA Shuttle Radar Topography Mission Global 1 arc second NetCDF V003 LPDAAC_ECS STAC Catalog 2000-02-11 2000-02-21 -180, -56, 180, 60 https://cmr.earthdata.nasa.gov/search/concepts/C3261910670-LPDAAC_ECS.umm_json The Land Processes Distributed Active Archive Center (LP DAAC) is responsible for the archive and distribution of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) version SRTM, which includes the global 1 arc second (~30 meter) product. SRTMGL1_NC offers the data product in NetCDF. NASA Shuttle Radar Topography Mission (SRTM) datasets result from a collaborative effort by the National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA - previously known as the National Imagery and Mapping Agency, or NIMA), as well as the participation of the German and Italian space agencies. The purpose of SRTM was to generate a near-global digital elevation model (DEM) of the Earth using radar interferometry. SRTM was a primary component of the payload on the Space Shuttle Endeavour during its STS-99 mission. Endeavour launched February 11, 2000 and flew for 11 days. SRTM collected data in swaths, which extend from ~30 degrees off-nadir to ~58 degrees off-nadir from an altitude of 233 kilometers (km). These swaths are ~225 km wide, and consisted of all land between 60° North (N) and 56° South (S) latitude. This accounts for about 80% of Earth’s total landmass. Improvements/Changes from Previous Versions * Voids in the Version 3.0 products have been filled with ASTER Global Digital Elevation Model (GDEM) Version 2.0, the Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010), and the National Elevation Dataset (NED). proprietary
SRTMGL1_NUMNC_003 NASA Shuttle Radar Topography Mission Global 1 arc second Number NetCDF V003 LPDAAC_ECS STAC Catalog 2000-02-11 2000-02-21 -180, -56, 180, 60 https://cmr.earthdata.nasa.gov/search/concepts/C3261871055-LPDAAC_ECS.umm_json The Land Processes Distributed Active Archive Center (LP DAAC) is responsible for the archive and distribution of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) version SRTM, which includes the global 1 arc second (~30 meter) product. SRTMGL1_NUMNC is used along with the SRTMGL1_NC data product and offers the number count in NetCDF. NASA Shuttle Radar Topography Mission (SRTM) datasets result from a collaborative effort by the National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA - previously known as the National Imagery and Mapping Agency, or NIMA), as well as the participation of the German and Italian space agencies. The purpose of SRTM was to generate a near-global digital elevation model (DEM) of the Earth using radar interferometry. SRTM was a primary component of the payload on the Space Shuttle Endeavour during its STS-99 mission. Endeavour launched February 11, 2000 and flew for 11 days. SRTM collected data in swaths, which extend from ~30 degrees off-nadir to ~58 degrees off-nadir from an altitude of 233 kilometers (km). These swaths are ~225 km wide, and consisted of all land between 60° North (N) and 56° South (S) latitude. This accounts for about 80% of Earth’s total landmass. Improvements/Changes from Previous Versions * Voids in the Version 3.0 products have been filled with ASTER Global Digital Elevation Model (GDEM) Version 2.0, the Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010), and the National Elevation Dataset (NED). proprietary
SRTMGL30_002 NASA Shuttle Radar Topography Mission Global 30 arc second V002 LPCLOUD STAC Catalog 2000-02-11 2000-02-21 -180, -56, 180, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2763266346-LPCLOUD.umm_json The Land Processes Distributed Active Archive Center (LP DAAC) is responsible for the archive and distribution of NASA Making Earth System Data Records for Use in Research Environments (MEaSURES) (https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) Shuttle Radar Topography Mission (SRTM), which includes the global 30 arc second (~1,000 meter) product. The NASA SRTM product with sample spacing of 3 arc second (~90 meter) generated by a 3 X 3 averaging of the 1 arc second data are then 10 X 10 averaged to produce thirty 30 arc second (~1,000 meter) data to correspond with Global 30 Arc Second Elevation (GTOPO30). (See the User Guide (https://lpdaac.usgs.gov/documents/179/SRTM_User_Guide_V3.pdf) Section 2.1.4.) The NASA SRTM data sets result from a collaborative effort by the National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA - previously known as the National Imagery and Mapping Agency, or NIMA), as well as the participation of the German and Italian space agencies. This collaboration aims to generate a near-global digital elevation model (DEM) of Earth using radar interferometry. SRTM was the primary (and virtually only) payload on the STS-99 mission of the Space Shuttle Endeavour, which launched February 11, 2000 and flew for 11 days. The SRTM swaths extended from ~30 degrees off-nadir to ~58 degrees off-nadir from an altitude of 233 kilometers (km), creating swaths ~225 km wide, and consisted of all land between 60° N and 56° S latitude to account for 80% of Earth’s total landmass. proprietary
-SRTMGL3N_003 NASA Shuttle Radar Topography Mission Global 3 arc second number V003 LPCLOUD STAC Catalog 2000-02-11 2000-02-21 -180, -56, 180, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2763268440-LPCLOUD.umm_json The Land Processes Distributed Active Archive Center (LP DAAC) is responsible for the archive and distribution of NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) Shuttle Radar Topography Mission (SRTM), which includes the global 3 arc second (~90 meter) number product. Ancillary one-byte (0 to 255) “NUM” (number) files were produced for NASA SRTM Version 3. These files have names corresponding to the elevation files, except with the extension “.NUM” (such as N37W105.NUM). The elevation files use the extension “.HGT”, meaning height (such as N37W105.HGT). The separate NUM file indicates the source of each DEM pixel; the number of ASTER scenes used (up to 100), if ASTER; and the number of SRTM data takes (up to 24), if SRTM. The NUM file for both 3 arc second products (whether sampled or averaged) references the 3 x 3 center pixel. Note that NUMs less than 6 are water and those greater than 10 are land. The 3 arc second data was derived from the 1 arc second using sampling and averaging methods. (See Figure 3 in the User Guide (https://lpdaac.usgs.gov/documents/179/SRTM_User_Guide_V3.pdf). The NASA SRTM data sets result from a collaborative effort by the National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA - previously known as the National Imagery and Mapping Agency, or NIMA), as well as the participation of the German and Italian space agencies. This collaboration aims to generate a near-global digital elevation model (DEM) of Earth using radar interferometry. SRTM was the primary (and virtually only) payload on the STS-99 mission of the Space Shuttle Endeavour, which launched February 11, 2000 and flew for 11 days. The SRTM swaths extended from ~30 degrees off-nadir to ~58 degrees off-nadir from an altitude of 233 kilometers (km), creating swaths ~225 km wide, and consisted of all land between 60° N and 56° S latitude to account for 80% of Earth’s total landmass. Improvements/Changes from Previous Versions * Voids in the Version 3.0 products have been filled with ASTER Global Digital Elevation Model (GDEM) Version 2.0, the Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010), and the National Elevation Dataset (NED). proprietary
+SRTMGL3N_003 NASA Shuttle Radar Topography Mission Global 3 arc second number V003 LPCLOUD STAC Catalog 2000-02-11 2000-02-21 -180, -56, 180, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2763268440-LPCLOUD.umm_json The Land Processes Distributed Active Archive Center (LP DAAC) is responsible for the archive and distribution of NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/about/competitive-programs/measures) Shuttle Radar Topography Mission (SRTM), which includes the global 3 arc second (~90 meter) number product. Ancillary one-byte (0 to 255) “NUM” (number) files were produced for NASA SRTM Version 3. These files have names corresponding to the elevation files, except with the extension “.NUM” (such as N37W105.NUM). The elevation files use the extension “.HGT”, meaning height (such as N37W105.HGT). The separate NUM file indicates the source of each DEM pixel; the number of ASTER scenes used (up to 100), if ASTER; and the number of SRTM data takes (up to 24), if SRTM. The NUM file for both 3 arc second products (whether sampled or averaged) references the 3 x 3 center pixel. Note that NUMs less than 6 are water and those greater than 10 are land. The 3 arc second data was derived from the 1 arc second using sampling and averaging methods. (See Figure 3 in the User Guide (https://lpdaac.usgs.gov/documents/179/SRTM_User_Guide_V3.pdf). The NASA SRTM data sets result from a collaborative effort by the National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA - previously known as the National Imagery and Mapping Agency, or NIMA), as well as the participation of the German and Italian space agencies. This collaboration aims to generate a near-global digital elevation model (DEM) of Earth using radar interferometry. SRTM was the primary (and virtually only) payload on the STS-99 mission of the Space Shuttle Endeavour, which launched February 11, 2000 and flew for 11 days. The SRTM swaths extended from ~30 degrees off-nadir to ~58 degrees off-nadir from an altitude of 233 kilometers (km), creating swaths ~225 km wide, and consisted of all land between 60° N and 56° S latitude to account for 80% of Earth’s total landmass. Improvements/Changes from Previous Versions * Voids in the Version 3.0 products have been filled with ASTER Global Digital Elevation Model (GDEM) Version 2.0, the Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010), and the National Elevation Dataset (NED). proprietary
SRTMGL3S_003 NASA Shuttle Radar Topography Mission Global 3 arc second sub-sampled V003 LPCLOUD STAC Catalog 2000-02-11 2000-02-21 -180, -56, 180, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2763268442-LPCLOUD.umm_json The Land Processes Distributed Active Archive Center (LP DAAC) is responsible for the archive and distribution of NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs)(https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) Shuttle Radar Topography Mission (SRTM), which includes the global 3 arc second (~90 meter) sub-sampled product. The 3 arc second data was derived from the 1 arc second using sampling methods. (See Figure 3 in the User Guide (https://lpdaac.usgs.gov/documents/179/SRTM_User_Guide_V3.pdf) The NASA SRTM data sets result from a collaborative effort by the National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA - previously known as the National Imagery and Mapping Agency, or NIMA), as well as the participation of the German and Italian space agencies. This collaboration aims to generate a near-global digital elevation model (DEM) of Earth using radar interferometry. SRTM was the primary (and virtually only) payload on the STS-99 mission of the Space Shuttle Endeavour, which launched February 11, 2000 and flew for 11 days. The SRTMGL3 data were sub-sampled from SRTM1GL (https://doi.org/10.5067/MEaSUREs/SRTM/SRTMGL1.003) data that fall within that tile. These elevation files use the extension “.HGT”, meaning height (such as N37W105.SRTMGL3S.HGT). The primary goal of creating the Version 3 data was to eliminate gaps, or voids, that were present in earlier versions of SRTM data. In areas with limited data, existing topographical data were used to supplement the SRTM data to fill the voids. The source of each elevation pixel is identified in the corresponding SRTMGL3N (http://dx.doi.org/10.5067/MEaSUREs/SRTM/SRTMGL3N.003) product (such as N37W105.SRTMGL3N.NUM). The SRTM swaths extended from ~30 degrees off-nadir to ~58 degrees off-nadir from an altitude of 233 kilometers (km), creating swaths ~225 km wide, and consisted of all land between 60° N and 56° S latitude to account for 80% of Earth’s total landmass. Improvements/Changes from Previous Versions * Voids in the Version 3.0 products have been filled with ASTER Global Digital Elevation Model (GDEM) Version 2.0, the Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010), and the National Elevation Dataset (NED). proprietary
-SRTMGL3_003 NASA Shuttle Radar Topography Mission Global 3 arc second V003 LPCLOUD STAC Catalog 2000-02-11 2000-02-21 -180, -56, 180, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2763266377-LPCLOUD.umm_json The Land Processes Distributed Active Archive Center (LP DAAC) is responsible for the archive and distribution of NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) Shuttle Radar Topography Mission (SRTM), which includes the global 3 arc second (~90 meter) product. The 3 arc second data was derived from the 1 arc second using averaging methods. (See Figure 3 in the User Guide (https://lpdaac.usgs.gov/documents/179/SRTM_User_Guide_V3.pdf). The NASA SRTM data sets result from a collaborative effort by the National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA - previously known as the National Imagery and Mapping Agency, or NIMA), as well as the participation of the German and Italian space agencies. This collaboration aims to generate a near-global digital elevation model (DEM) of Earth using radar interferometry. SRTM was the primary (and virtually only) payload on the STS-99 mission of the Space Shuttle Endeavour, which launched February 11, 2000 and flew for 11 days. The SRTMGL3 data were generated from SRTM1GL (https://doi.org/10.5067/MEaSUREs/SRTM/SRTMGL1.003) data that fall within that tile. These elevation files use the extension “.HGT”, meaning height (such as N37W105.SRTMGL3.HGT). The primary goal of creating the Version 3 data was to eliminate gaps, or voids, that were present in earlier versions of SRTM data. In areas with limited data, existing topographical data were used to supplement the SRTM data to fill the voids. The source of each elevation pixel is identified in the corresponding SRTMGL3N (https://doi.org/10.5067/MEaSUREs/SRTM/SRTMGL3N.003) product (such as N37W105.SRTMGL3N.NUM). The SRTM swaths extended from ~30 degrees off-nadir to ~58 degrees off-nadir from an altitude of 233 kilometers (km), creating swaths ~225 km wide, and consisted of all land between 60° N and 56° S latitude to account for 80% of Earth’s total landmass. proprietary
+SRTMGL3_003 NASA Shuttle Radar Topography Mission Global 3 arc second V003 LPCLOUD STAC Catalog 2000-02-11 2000-02-21 -180, -56, 180, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2763266377-LPCLOUD.umm_json The Land Processes Distributed Active Archive Center (LP DAAC) is responsible for the archive and distribution of NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/about/competitive-programs/measures) Shuttle Radar Topography Mission (SRTM), which includes the global 3 arc second (~90 meter) product. The 3 arc second data was derived from the 1 arc second using averaging methods. (See Figure 3 in the User Guide (https://lpdaac.usgs.gov/documents/179/SRTM_User_Guide_V3.pdf). The NASA SRTM data sets result from a collaborative effort by the National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA - previously known as the National Imagery and Mapping Agency, or NIMA), as well as the participation of the German and Italian space agencies. This collaboration aims to generate a near-global digital elevation model (DEM) of Earth using radar interferometry. SRTM was the primary (and virtually only) payload on the STS-99 mission of the Space Shuttle Endeavour, which launched February 11, 2000 and flew for 11 days. The SRTMGL3 data were generated from SRTM1GL (https://doi.org/10.5067/MEaSUREs/SRTM/SRTMGL1.003) data that fall within that tile. These elevation files use the extension “.HGT”, meaning height (such as N37W105.SRTMGL3.HGT). The primary goal of creating the Version 3 data was to eliminate gaps, or voids, that were present in earlier versions of SRTM data. In areas with limited data, existing topographical data were used to supplement the SRTM data to fill the voids. The source of each elevation pixel is identified in the corresponding SRTMGL3N (https://doi.org/10.5067/MEaSUREs/SRTM/SRTMGL3N.003) product (such as N37W105.SRTMGL3N.NUM). The SRTM swaths extended from ~30 degrees off-nadir to ~58 degrees off-nadir from an altitude of 233 kilometers (km), creating swaths ~225 km wide, and consisted of all land between 60° N and 56° S latitude to account for 80% of Earth’s total landmass. proprietary
SRTMGL3_NC_003 NASA Shuttle Radar Topography Mission Global 3 arc second NetCDF V003 LPCLOUD STAC Catalog 2000-02-11 2000-02-21 -180, -56, 180, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2763266381-LPCLOUD.umm_json The Land Processes Distributed Active Archive Center (LP DAAC) is responsible for the archive and distribution of NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) SRTM, which includes the global 3 arc second (~90 meter) product. The 3 arc second data was derived from the 1 arc second using sampling and averaging methods. SRTMGL3_NC offers the data product in NetCDF. NASA Shuttle Radar Topography Mission (SRTM) datasets result from a collaborative effort by the National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA - previously known as the National Imagery and Mapping Agency, or NIMA), as well as the participation of the German and Italian space agencies. The purpose of SRTM was to generate a near-global digital elevation model (DEM) of the Earth using radar interferometry. SRTM was a primary component of the payload on the Space Shuttle Endeavour during its STS-99 mission. Endeavour launched February 11, 2000 and flew for 11 days. SRTM collected data in swaths, which extend from ~30 degrees off-nadir to ~58 degrees off-nadir from an altitude of 233 kilometers (km). These swaths are ~225 km wide, and consisted of all land between 60° North (N) and 56° South (S) latitude. This accounts for about 80% of Earth’s total landmass. Improvements/Changes from Previous Versions * Voids in the Version 3.0 products have been filled with ASTER Global Digital Elevation Model (GDEM) Version 2.0, the Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010), and the National Elevation Dataset (NED). proprietary
SRTMGL3_NUMNC_003 NASA Shuttle Radar Topography Mission Global 3 arc second Number NetCDF V003 LPCLOUD STAC Catalog 2000-02-11 2000-02-21 -180, -56, 180, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2763266390-LPCLOUD.umm_json The Land Processes Distributed Active Archive Center (LP DAAC) is responsible for the archive and distribution of NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) SRTM, which includes the global 3 arc second (~90 meter) product. The 3 arc second data was derived from the 1 arc second using sampling and averaging methods. SRTMGL3_NUMNC is used along with the SRTMGL3_NC data product and offers the number count in NetCDF. NASA Shuttle Radar Topography Mission (SRTM) datasets result from a collaborative effort by the National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA - previously known as the National Imagery and Mapping Agency, or NIMA), as well as the participation of the German and Italian space agencies. The purpose of SRTM was to generate a near-global digital elevation model (DEM) of the Earth using radar interferometry. SRTM was a primary component of the payload on the Space Shuttle Endeavour during its STS-99 mission. Endeavour launched February 11, 2000 and flew for 11 days. SRTM collected data in swaths, which extend from ~30 degrees off-nadir to ~58 degrees off-nadir from an altitude of 233 kilometers (km). These swaths are ~225 km wide, and consisted of all land between 60° North (N) and 56° South (S) latitude. This accounts for about 80% of Earth’s total landmass. Improvements/Changes from Previous Versions * Voids in the Version 3.0 products have been filled with ASTER Global Digital Elevation Model (GDEM) Version 2.0, the Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010), and the National Elevation Dataset (NED). proprietary
SRTMGLOBAL1N Shuttle Radar Topography Mission 1-arc second Global USGS_LTA STAC Catalog 2000-02-11 2000-02-22 -180, -56, 180, 60 https://cmr.earthdata.nasa.gov/search/concepts/C1220567890-USGS_LTA.umm_json The Shuttle Radar Topography Mission (SRTM) was flown aboard the space shuttle Endeavour February 11-22, 2000. The National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA) participated in an international project to acquire radar data which were used to create the first near-global set of land elevations. The radars used during the SRTM mission were actually developed and flown on two Endeavour missions in 1994. The C-band Spaceborne Imaging Radar and the X-Band Synthetic Aperture Radar (X-SAR) hardware were used on board the space shuttle in April and October 1994 to gather data about Earth's environment. The technology was modified for the SRTM mission to collect interferometric radar, which compared two radar images or signals taken at slightly different angles. This mission used single-pass interferometry, which acquired two signals at the same time by using two different radar antennas. An antenna located on board the space shuttle collected one data set and the other data set was collected by an antenna located at the end of a 60-meter mast that extended from the shuttle. Differences between the two signals allowed for the calculation of surface elevation. Endeavour orbited Earth 16 times each day during the 11-day mission, completing 176 orbits. SRTM successfully collected radar data over 80% of the Earth's land surface between 60° north and 56° south latitude with data points posted every 1 arc-second (approximately 30 meters). Two resolutions of finished grade SRTM data are available through EarthExplorer from the collection held in the USGS EROS archive: 1 arc-second (approximately 30-meter) high resolution elevation data offer worldwide coverage of void filled data at a resolution of 1 arc-second (30 meters) and provide open distribution of this high-resolution global data set. Some tiles may still contain voids. The SRTM 1 Arc-Second Global (30 meters) data set will be released in phases starting September 24, 2014. Users should check the coverage map in EarthExplorer to verify if their area of interest is available. 3 arc-second (approximately 90-meter) medium resolution elevation data are available for global coverage. The 3 arc-second data were resampled using cubic convolution interpolation for regions between 60° north and 56° south latitude. [Summary provided by the USGS.] proprietary
@@ -13260,11 +13273,11 @@ Saskatchewan_Soils_125m_SSA_1346_2 BOREAS Agriculture Canada Central Saskatchewa
Sat_ActiveLayer_Thickness_Maps_1760_1 ABoVE: Active Layer Thickness from Remote Sensing Permafrost Model, Alaska, 2001-2015 ORNL_CLOUD STAC Catalog 2001-01-01 2015-12-31 -179.18, 55.57, -132.58, 70.21 https://cmr.earthdata.nasa.gov/search/concepts/C2143402571-ORNL_CLOUD.umm_json This dataset provides annual estimates of active layer thickness (ALT) at 1 km resolution across Alaska from 2001-2015. The ALT was estimated using a remote sensing-based soil process model incorporating global satellite data from Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature (LST) and snow cover extent (SCE), and Soil Moisture Active and Passive (SMAP) satellite soil moisture records. The study area covers the majority land area of Alaska except for areas of perennial ice/snow cover or open water. The ALT was defined as the maximum soil thawing depth throughout the year. The mean ALT and mean uncertainty from 2001 to 2015 are also provided. proprietary
SatelliteDerived_Forest_Mexico_2320_1 Satellite-Derived Forest Extent Likelihood Map for Mexico ORNL_CLOUD STAC Catalog 2010-01-01 2020-12-31 -120.31, 12.48, -84.29, 34.51 https://cmr.earthdata.nasa.gov/search/concepts/C2905454214-ORNL_CLOUD.umm_json This dataset provides a comparison of forest extent agreement from seven remote sensing-based products across Mexico. These satellite-derived products include European Space Agency 2020 Land Cover Map for Mexico (ESA), Globeland30 2020 (Globeland30), Commission for Environmental Cooperation 2015 Land Cover Map (CEC), Impact Observatory 2020 Land Cover Map (IO), NAIP Trained Mean Percent Cover Map (NEX-TC), Global Land Analysis and Discovery Global 2010 Tree Cover (Hansen-TC), and Global Forest Cover Change Tree Cover 30 m Global (GFCC-TC). All products included data at 10-30 m resolution and represented the state of forest or tree cover from 2010 to 2020. These seven products were chosen based on: a) feedback from end-users in Mexico; b) availability and FAIR (findable, accessible, interoperable, and replicable) data principles; and c) products representing different methodological approaches from global to regional scales. The combined agreement map documents forest cover for each satellite-derived product at 30-m resolution across Mexico. The data are in cloud optimized GeoTIFF format and cover the period 2010-2020. A shapefile is included that outlines Mexico mainland areas. proprietary
Scambos_PLR1441432 A Low-power, Quick-install Polar Observation System ('AMIGOS-II') for Monitoring Climate-ice-ocean Interactions SCIOPS STAC Catalog 2014-06-01 2015-05-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214604828-SCIOPS.umm_json The investigators propose to build and test a multi-sensor, automated measurement station for monitoring Arctic and Antarctic ice-ocean environments. The system, based on a previously successful design, will incorporate weather and climate sensors, camera, snow and firn sensors, instruments to measure ice motion, ice and ocean thermal profilers, hydrophone, and salinity sensors. This new system will have two-way communications for real-time data delivery and is designed for rapid deployment by a small field group. proprietary
-SciSat-1.Ace.FTS.and.Maestro_NA SciSat-1: ACE-FTS and MAESTRO ESA STAC Catalog 2003-08-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336954-ESA.umm_json "SCISAT-1 data aim at monitoring and analysing the chemical processes that control the distribution of ozone in the upper troposphere and stratosphere. It provides acquisitions from the 2 instruments MAESTRO and ACE-FTS. • MAESTRO: Measurement of Aerosol Extinction in the Stratosphere and Troposphere Retrieved by Occultation. Dual-channel optical spectrometer in the spectral region of 285-1030 nm. The objective is to measure ozone, nitrogen dioxide and aerosol/cloud extinction (solar occultation measurements of atmospheric attenuation during satellite sunrise and sunset with the primary objective of assessing the stratospheric ozone budget). Solar occultation spectra are being used for retrieving vertical profiles of temperature and pressure, aerosols, and trace gases (O3, NO2, H2O, OClO, and BrO) involved in middle atmosphere ozone distribution. The use of two overlapping spectrometers (280 - 550 nm, 500 - 1030 nm) improves the stray-light performance. The spectral resolution is about 1-2 nm. • ACE-FTS: Fourier Transform Spectrometer The objective is to measure the vertical distribution of atmospheric trace gases, in particular of the regional polar O3 budget, as well as pressure and temperature (derived from CO2 lines). The instrument is an adapted version of the classical sweeping Michelson interferometer, using an optimized optical layout. The ACE-FTS measurements are recorded every 2 s. This corresponds to a measurement spacing of 2-6 km which decreases at lower altitudes due to refraction. The typical altitude spacing changes with the orbital beta angle. For historical reasons, the retrieved results are interpolated onto a 1 km ""grid"" using a piecewise quadratic method. For ACE-FTS version 1.0, the results were reported only on the interpolated grid (every 1 km from 0.5 to 149.5 km). For versions 2.2, both the ""retrieval"" grid and the ""1 km"" grid profiles are available. SCISAT-1 collection provides ACE-FTS and MAESTRO Level 2 Data. As of today, ACE-FTS products are available in version 4.1, while MAESTRO products are available in version 3.13." proprietary
+SciSat-1.Ace.FTS.and.Maestro_4.0 SciSat-1: ACE-FTS and MAESTRO ESA STAC Catalog 2003-08-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336954-ESA.umm_json SCISAT-1 data aim at monitoring and analysing the chemical processes that control the distribution of ozone in the upper troposphere and stratosphere. It provides acquisitions from the 2 instruments MAESTRO and ACE-FTS. • MAESTRO: Measurement of Aerosol Extinction in the Stratosphere and Troposphere Retrieved by Occultation. Dual-channel optical spectrometer in the spectral region of 285-1030 nm. The objective is to measure ozone, nitrogen dioxide and aerosol/cloud extinction (solar occultation measurements of atmospheric attenuation during satellite sunrise and sunset with the primary objective of assessing the stratospheric ozone budget). Solar occultation spectra are being used for retrieving vertical profiles of temperature and pressure, aerosols, and trace gases (O3, NO2, H2O, OClO, and BrO) involved in middle atmosphere ozone distribution. The use of two overlapping spectrometers (280 - 550 nm, 500 - 1030 nm) improves the stray-light performance. The spectral resolution is about 1-2 nm. • ACE-FTS: Fourier Transform Spectrometer The objective is to measure the vertical distribution of atmospheric trace gases, in particular of the regional polar O3 budget, as well as pressure and temperature (derived from CO2 lines). The instrument is an adapted version of the classical sweeping Michelson interferometer, using an optimized optical layout. The ACE-FTS measurements are recorded every 2 s. This corresponds to a measurement spacing of 2-6 km which decreases at lower altitudes due to refraction. The typical altitude spacing changes with the orbital beta angle. For historical reasons, the retrieved results are interpolated onto a 1 km "grid" using a piecewise quadratic method. For ACE-FTS version 1.0, the results were reported only on the interpolated grid (every 1 km from 0.5 to 149.5 km). For versions 2.2, both the "retrieval" grid and the "1 km" grid profiles are available. SCISAT-1 collection provides ACE-FTS and MAESTRO Level 2 Data. As of today, ACE-FTS products are available in version 4.1, while MAESTRO products are available in version 3.13. proprietary
Scotia_Prince_ferry_0 Scotia Prince ferry dataset OB_DAAC STAC Catalog 1998-06-06 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360640-OB_DAAC.umm_json Although the ferry that data were collected from no longer operates, longstanding data collection methods continue. The Scotia Prince ferry dataset has been reorganized and added to the GNATS experiment dataset (Gulf of Maine North Atlantic Time Series, 10.5067/SeaBASS/GNATS/DATA001). Please refer to that dataset to find data that were originally listed here. proprietary
Scotts_Fuel_1 Composition and origin of fuel from the hut of explorer Robert Falcon Scott, Cape Evans, Antarctica AU_AADC STAC Catalog 1910-08-15 1912-03-29 166.4, -77.633, 166.4, -77.633 https://cmr.earthdata.nasa.gov/search/concepts/C1214311239-AU_AADC.umm_json As a direct result of the 1989-90 trip as part of ASAC 245, a sample of petrol used by Scott on his ill-fated expedition to the South Pole was obtained. This petrol sample was supplied by the late Garth Varcoe of the New Zealand Antarctic Division following a discussion ensuing from a lecture given whilst on the Icebird when stuck in the ice off Davis. This sample is of intense historical interest and the results of the studies are in the download file. The material in the file reports the studies on the composition of the petrol which was left by the remaining members of Scott's group when they departed their base at Evans Head. The aim of this work was to identify the source of the fuel. A later study will attempt to comment on its suitability as a fuel for use under Antarctic conditions. There are five files on the CD. a)a poster presented at the Australian Organic Geochemistry Conference held in Leura, NSW in February of this year, b)a brief description highlighting some salient points of the poster; presented orally, c)an abstract of this work included in the conference proceedings, d)the conference proceedings and e)manuscript of a full paper submitted for publication in the Journal of Organic Geochemistry, including a table of data Geochemical analyses of the fuel used for the motor driven sledges used by the explorer Robert Falcon Scott for his 1911/1912 quest to the South Pole indicates that it is a straight run gasoline. The presence of bicadinanes, oleanane and other oleanoid angiosperm markers indicate that the feedstock oil was likely to be sourced from terrestrial source rocks of Tertiary age in the South East Asian region. The overall chemical composition of the fuel in its present state indicates that it may have been too heavy for usage in polar regions. proprietary
Sea2Space_0 Sea to Space expedition OB_DAAC STAC Catalog 2017-01-26 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1647028412-OB_DAAC.umm_json Measurements from the Sea2Space (Sea to Space Particle Investigation) project aboard the RV Falkor, supported by the Schmidt Ocean Institute, in the central and northeast Pacific. proprietary
-SeaSat.ESA.archive_NA SeaSat ESA archive ESA STAC Catalog 1978-07-13 1978-10-10 -125, -10, 20, 70 https://cmr.earthdata.nasa.gov/search/concepts/C1532648156-ESA.umm_json "This collection gives access to the complete SEASAT dataset acquired by ESA and mainly covers Europe. The dataset comprises some of the first ever SAR data recorded for scientific purposes, reprocessed with the most recent processor. The Level-1 products are available as: • SAR Ellipsoid Geocoded Precision Image • SAR Precision Image • SAR Single Look Complex Image European Space Agency, Seasat SAR Precision Image. Version 1.0. https://doi.org/10.5270/SE1-99j66hv European Space Agency, Seasat SAR Single Look Complex. Version 1.0. https://doi.org/10.5270/SE1-4uij92n European Space Agency, Seasat SAR Ellipsoid Geocoded Precision Image . Version 1.0. https://doi.org/10.5270/SE1-ungwqxv" proprietary
+SeaSat.ESA.archive_6.0 SeaSat ESA archive ESA STAC Catalog 1978-07-13 1978-10-10 -125, -10, 20, 70 https://cmr.earthdata.nasa.gov/search/concepts/C1532648156-ESA.umm_json "This collection gives access to the complete SEASAT dataset acquired by ESA and mainly covers Europe. The dataset comprises some of the first ever SAR data recorded for scientific purposes, reprocessed with the most recent processor. The Level-1 products are available as: • SAR Ellipsoid Geocoded Precision Image • SAR Precision Image • SAR Single Look Complex Image European Space Agency, Seasat SAR Precision Image. Version 1.0. https://doi.org/10.5270/SE1-99j66hv European Space Agency, Seasat SAR Single Look Complex. Version 1.0. https://doi.org/10.5270/SE1-4uij92n European Space Agency, Seasat SAR Ellipsoid Geocoded Precision Image . Version 1.0. https://doi.org/10.5270/SE1-ungwqxv" proprietary
SeaWiFS_L1_GAC_2 OrbView-2 SeaWiFS Level-1A Global Area Coverage (GAC) Data, version 2 OB_CLOUD STAC Catalog 1997-09-04 2010-12-11 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3202004220-OB_CLOUD.umm_json The SeaWiFS instrument was launched by Orbital Sciences Corporation on the OrbView-2 (a.k.a. SeaStar) satellite in August 1997, and collected data from September 1997 until the end of mission in December 2010. SeaWiFS had 8 spectral bands from 412 to 865 nm. It collected global data at 4 km resolution, and local data (limited onboard storage and direct broadcast) at 1 km. The mission and sensor were optimized for ocean color measurements, with a local noon (descending) equator crossing time orbit, fore-and-aft tilt capability, full dynamic range, and low polarization sensitivity. proprietary
SeaWiFS_L1_MLAC_2 OrbView-2 SeaWiFS Level-1A Merged Local Area Coverage (MLAC) Data, version 2 OB_CLOUD STAC Catalog 1997-09-04 2010-12-11 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3202004252-OB_CLOUD.umm_json The SeaWiFS instrument was launched by Orbital Sciences Corporation on the OrbView-2 (a.k.a. SeaStar) satellite in August 1997, and collected data from September 1997 until the end of mission in December 2010. SeaWiFS had 8 spectral bands from 412 to 865 nm. It collected global data at 4 km resolution, and local data (limited onboard storage and direct broadcast) at 1 km. The mission and sensor were optimized for ocean color measurements, with a local noon (descending) equator crossing time orbit, fore-and-aft tilt capability, full dynamic range, and low polarization sensitivity. proprietary
SeaWiFS_L2_GAC_IOP_2022.0 OrbView-2 SeaWiFS Level-2 Regional Global Area Coverage (GAC) Inherent Optical Properties (IOP) Data, version 2022.0 OB_CLOUD STAC Catalog 1997-09-04 2010-12-11 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3198658845-OB_CLOUD.umm_json The SeaWiFS instrument was launched by Orbital Sciences Corporation on the OrbView-2 (a.k.a. SeaStar) satellite in August 1997, and collected data from September 1997 until the end of mission in December 2010. SeaWiFS had 8 spectral bands from 412 to 865 nm. It collected global data at 4 km resolution, and local data (limited onboard storage and direct broadcast) at 1 km. The mission and sensor were optimized for ocean color measurements, with a local noon (descending) equator crossing time orbit, fore-and-aft tilt capability, full dynamic range, and low polarization sensitivity. proprietary
@@ -13335,8 +13348,8 @@ SiB4_Global_HalfDegree_Monthly_1848_1 SiB4 Modeled Global 0.5-Degree Monthly Car
Siberian_Biomass_Wildfire_1321_1 Siberian Boreal Forest Aboveground Biomass and Fire Scar Maps, Russia, 1969-2007 ORNL_CLOUD STAC Catalog 1969-07-01 2007-07-26 156.61, 64.77, 166.47, 69.9 https://cmr.earthdata.nasa.gov/search/concepts/C2773255198-ORNL_CLOUD.umm_json This data set provides 30-meter resolution mapped estimates of Cajander larch (Larix cajanderi) aboveground biomass (AGB), circa 2007, and a map of burn perimeters for 116 forest fires that occurred from 1966-2007. The data cover ~100,000 km2 of the Kolyma River Basin in northeastern Siberia, Sakha Republic, Russia. proprietary
Siberian_Larch_Stand_Age_1364_1 Distribution of Estimated Stand Age Across Siberian Larch Forests, 1989-2012 ORNL_CLOUD STAC Catalog 1989-01-01 2012-12-31 90, 49, 143, 67 https://cmr.earthdata.nasa.gov/search/concepts/C2767498872-ORNL_CLOUD.umm_json This data set provides mapped estimates of the stand age of young (less than 25 years old) larch forests across Siberia from 1989-2012 at 30-m resolution. The age estimates were derived from Landsat-based composites and tree cover for years 2000 and 2012 developed by the Global Forest Change (GFC) project and the stand-replacing fire mapping (SRFM) data set. This approach is based on the assumption that the relationship between the spectral signature of a burned or unburned forest stand acquired by Landsat ETM+ and TM sensors and stand age before and after the year 2000 is similar, thus allowing for training an algorithm on the data from the post-2000 era and applying the algorithm to infer stand age for the pre-2000 era. The output map combines the modeled forest disturbances before 2000 and direct observations of forest loss after 2000 to deliver a 24-year stand age distribution map. proprietary
Skelton_Aeromag_Data Aeromagnetic data centered over Skelton Neve, Antarctica: A Web Site for Distribution of Data and Maps (on-line edition) CEOS_EXTRA STAC Catalog 1997-01-01 1998-12-31 153.5, -79.7, 166.7, -77.5 https://cmr.earthdata.nasa.gov/search/concepts/C2231552348-CEOS_EXTRA.umm_json The Transantarctic Mountains (TAM) rift-flank uplift has developed along the ancestral margin of the East Antarctic craton, and forms the boundary between the craton and the thinned lithosphere of the West Antarctic rift system. Geodynamic processes associated with the exceptionally large-magnitude uplift of the mountain belt remain poorly constrained, but may involve interaction of rift-related mechanical and thermal processes and the inherited mechanical elements of the cratonic lithosphere. The Transantarctic Mountain Aerogeophysical Research Activities (TAMARA) program proposes to document the regional structural architecture of a key segment of the Transantarctic Mountains in the region around the Royal Society Range where the rift flank is offset along a transverse accommodation zone. proprietary
-SkySat.Full.Archive.and.New.Tasking_NA SkySat Full Archive and New Tasking ESA STAC Catalog 2013-11-13 -180, -84, 180, 84 https://cmr.earthdata.nasa.gov/search/concepts/C1965336955-ESA.umm_json "The SkySat Level 2B Basic Scene, Level 3B Ortho Scene and Level 3B Consolidated full archive and new tasking products are available as part of Planet imagery offer. The SkySat Basic Scene product is uncalibrated and in a raw digital number format, not corrected for any geometric distortions inherent in the imaging process. Rational Polynomial Coefficients (RPCs) is provided to enable orthorectification by the user. Basic Scene Product Components and Format Processing levels / - Analytic (unorthorectified, radiometrically corrected, multispectral BGRN); - Analytic DN (unorthorectified, multispectral BGRN); - Panchromatic DN (unorthorectified, panchromatic) // Product Components and Format / - Image File (GeoTIFF format); - Metadata File (JSON format); - Rational Polynomial Coefficients (Text File); - UDM File (GeoTIFF format) // Image configuration / - 4-band Analytic DN Image (Blue, Green, Red, NIR); - 1-band Panchromatic DN Image (Pan) // Ground Sampling Distance / 3.7 m at nadir (average at reference altitude 475 km) // Ground Sampling Distance (nadir) / - Panchromatic 0.86m and Multispectral 1.0m for SkySat-1&2; - Panchromatic 0.65m and Multispectral 0.8m for SkySat-3 to 13 (0.72 m and 1.0m for data acquired before 30/06/2020) // Accuracy / <50 m RMSE // The SkySat Ortho Scene is sensor- and geometrically-corrected (by using DEMs with a post spacing of between 30 and 90 meters) and is projected to a cartographic map projection; the accuracy of the product will vary from region to region based on available GCPs. Different products are available: - The SkySat Visual Ortho Scene product is orthorectified, pansharpened, and color-corrected (using a color curve) 3-band RGB Imagery - The SkySat Pansharpened Multispectral Scene product is orthorectified, pansharpened 4-band BGRN Imagery - The SkySat Analytic DN Ortho Scene product is orthorectified, multispectral BGRN, uncalibrated, digital number imagery product. The product has been processed to remove distortions caused by terrain; It eliminates the perspective effect on the ground (not on buildings), restoring the geometry of a vertical shot. Transformation to at-sensor radiance is not included - The SkySat Panchromatic DN Ortho Scene product is orthorectified, panchromatic, uncalibrated, digital number imagery product. It has a finer GSD than the Analytic Product. Transformation to at-sensor radiance is not included. - The SkySat Analytic Ortho Scene are calibrated multispectral imagery products with radiometric corrections applied to correct for any sensor artifacts and transformation to top-of-atmosphere radiance. - The SkySat Consolidated Product are Ortho Collect product created by composing ~60 SkySat Ortho Scenes (Visual, Pansharpened Multispectral, Analytic DN, Panchromatic DN) along an imaging strip into segments. Ortho Scene Product Components and Format / Visual Ortho / Pansharpened Multispectral / Analytic DN Ortho / Panchromatic DN Ortho / Analytic Ortho // Product Components and Format / Image File (GeoTIFF format); Metadata File (JSON format); Rational Polynomial Coefficients (Text File); UDM File (GeoTIFF format) / Image File (GeoTIFF); Metadata File (JSON format); Rational Polynomial Coefficients (Text File); UDM File (GeoTIFF format) / Image File (GeoTIFF format); Metadata File (JSON format); Rational Polynomial Coefficients (Text File); UDM File (GeoTIFF format); / Image File (GeoTIFF format); Metadata File (JSON format); Rational Polynomial Coefficients (Text File); UDM File (GeoTIFF format) / Image File (GeoTIFF format); Metadata File (JSON format); Rational Polynomial Coefficients (Text File); UDM File (GeoTIFF format) // Image configuration / 3-band Pansharpened Image (PS Red, PS Green, PS Blue) / 4-band Pansharpened Image (PS Blue, PS Green, PS Red, PS NIR) / 4-band Analytic DN Image (B, G, R, N) / 1-band Panchromatic Image / 4-band Analytic Image (B, G, R, N) // Ground Sampling Distance / 50 cm / 50 cm / 50 cm / 50 cm / 50 cm // Projection / UTM WGS84 / UTM WGS84 / UTM WGS84 / UTM WGS84 / UTM WGS84 // Accuracy / <10 m RMSE / <10 m RMSE / <10 m RMSE / <10 m RMSE / radiometric accuracy: +/- 5% Relative accuracy at < 10 degrees off-nadir angle // The products are available as part of the Planet provision from RapidEye, Skysat and PlanetScope constellations. SkySat collection has worldwide coverage: The Planet Explorer Catalogue can be accessed (Planet registration requested) to discover and check the data readiness. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability (https://earth.esa.int/eogateway/documents/20142/37627/Access-to-ESAs-Planet-Missions-Terms-of-Applicability.pdf)." proprietary
-SkySatESAarchive_NA Skysat ESA archive ESA STAC Catalog 2016-02-29 -180, -84, 180, 84 https://cmr.earthdata.nasa.gov/search/concepts/C2547572338-ESA.umm_json The SkySat ESA archive collection consists of SkySat products requested by ESA supported projects over their areas of interest around the world and that ESA collected over the years. The dataset regularly grows as ESA collects new SkySat products. Two different product types are offered, Ground Sampling Distance at nadir up to 65 cm for PAN and up to 0.8m for MS EO-SIP Product Type Product description Content SSC_DEF_SC Basic and Ortho scene * Level 1B 4-bands Analytic /DN Basic scene * Level 1B 4-bands Panchromatic /DN Basic scene * Level 1A 1-band Panchromatic DN Pre Sup resolution Basic scene * Level 3B 3-bands Visual Ortho Scene * Level 3B 4-bands Pansharpened Multispectral Ortho Scene * Level 3B 4-bands Analytic/DN/SR Ortho Scene * Level 3B 1-band Panchromatic /DN Ortho Scene SSC_DEF_CO Ortho Collect * Visual 3-band Pansharpened Image * Multispectral 4-band Pansharpened Image * Multispectral 4-band Analytic/DN/SR Image (B, G, R,N) * 1-band Panchromatic Image The Basic Scene product is uncalibrated, not radiometrically corrected for atmosphere or for any geometric distortions inherent in the imaging process •Analytic - unorthorectified, radiometrically corrected, multispectral BGRN •Analytic DN - unorthorectified, multispectral BGRN •Panchromatic - unorthorectified, radiometrically corrected, panchromatic (PAN) •Panchromatic DN - unorthorectified, panchromatic (PAN) •L1A Panchromatic DN - unorthorectified, pre-super resolution, panchromatic (PAN) The Ortho Scene product is sensor and geometrically corrected, and is projected to a cartographic map projection. •Visual - orthorectified, pansharpened, and color-corrected (using a color curve) 3-band RGB Imagery •Pansharpened Multispectral - orthorectified, pansharpened 4-band BGRN Imagery •Analytic SR - orthorectified, multispectral BGRN. Atmospherically corrected Surface Reflectance product. •Analytic - orthorectified, multispectral BGRN. Radiometric corrections applied to correct for any sensor artifacts and transformation to top-of-atmosphere radiance •Analytic DN - orthorectified, multispectral BGRN, uncalibrated digital number imagery product Radiometric corrections applied to correct for any sensor artifacts •Panchromatic - orthorectified, radiometrically correct, panchromatic (PAN) •Panchromatic DN - orthorectified, panchromatic (PAN), uncalibrated digital number imagery product The Ortho Collect product is created by composing SkySat Ortho Scenes along an imaging strip. The product may contain artifacts resulting from the composing process, particular offsets in areas of stitched source scenes. proprietary
+SkySat.Full.Archive.and.New.Tasking_9.0 SkySat Full Archive and New Tasking ESA STAC Catalog 2013-11-13 -180, -84, 180, 84 https://cmr.earthdata.nasa.gov/search/concepts/C1965336955-ESA.umm_json "The SkySat Level 1 Basic Scene, Level 3B Ortho Scene and Level 3B Consolidated full archive and new tasking products are available as part of the Planet imagery offer. The SkySat Basic Scene product is uncalibrated and in a raw digital number format, not corrected for any geometric distortions inherent to the imaging process. Rational Polynomial Coefficients (RPCs) are provided to enable orthorectification by the user. • Basic Panchromatic Scene product – unorthorectified, radiometrically corrected, panchromatic (PAN) imagery. • Basic Panchromatic DN Scene product – unorthorectified, panchromatic (PAN) imagery. • Basic L1A Panchromatic DN Scene product – unorthorectified, pre-super resolution, panchromatic (PAN) imagery. • Basic Analytic Scene product – unorthorectified, radiometrically corrected, 4-band multispectral (BGR-NIR) imagery. • Basic Analytic DN Scene product – unorthorectified, 4-band multispectral (BGR-NIR) imagery. Basic Scene Product Components and Format Product Components and Format • Image File (GeoTIFF format) • Metadata File (JSON format) • Rational Polynomial Coefficients (Text File) • UDM File (GeoTIFF format) Image Configurations • 1-band Panchromatic/Panchromatic DN Image (PAN) • 4-band Analytic/Analytic DN Image (Blue, Green, Red, NIR) Ground Sampling Distance (nadir) • SkySat-1 & -2: 0.86 m (PAN), 1.0 m (MS) • SkySat-3 to -15: 0.65 m (PAN), 0.8 m (MS). 0.72 m (PAN) and 1.0 m (MS) for data acquired prior to 30/06/2020 • SkySat-16 to -21: 0.57 m (PAN), 0.75 m (MS) Geolocation Accuracy <50 m RMSE The SkySat Ortho Scene product is sensor- and geometrically-corrected (using DEMs with a post spacing of 30 – 90 m) and is projected to a cartographic map projection; the accuracy of the product varies from region-to-region based on available GCPs. • Ortho Panchromatic Scene product – orthorectified, radiometrically corrected, panchromatic (PAN) imagery. • Ortho Panchromatic DN Scene product – orthorectified, panchromatic (PAN), uncalibrated digital number imagery. • Ortho Analytic Scene product – orthorectified, 4-band multispectral (BGR-NIR) imagery. Radiometric corrections are applied to correct for any sensor artifacts and transformation to top-of-atmosphere radiance. • Ortho Analytic DN Scene product – orthorectified, 4-band multispectral (BGR-NIR), uncalibrated digital number imagery. Radiometric corrections are applied to correct for any sensor artifacts. • Ortho Pansharpened Multispectral Scene product – orthorectified, pansharpened, 4-band (BGR-NIR) imagery. • Ortho Visual Scene product – orthorectified, pansharpened, colour-corrected (using a colour curve) 3-band (RGB) imagery. Ortho Scene Product Components and Format Product Components and Format • Image File (GeoTIFF format) • Metadata File (JSON format) • Rational Polynomial Coefficients (Text File) • UDM File (GeoTIFF format) Image Configurations • 1-band Panchromatic/Panchromatic DN Image (PAN) • 4-band Analytic/Analytic DN Image (Blue, Green, Red, NIR) • 4-band Pansharpened Multispectral Image (Blue, Green, Red, NIR) • 3-band Pansharpened (Visual) Image (Red, Green, Blue) Orthorectified Pixel Size 50 cm Projection UTM WGS84 Geolocation Accuracy <10 m RMSE The SkySat Ortho Collect product is created by composing SkySat Ortho Scene products along an imaging strip into segments typically unifying ~60 individual SkySat Ortho Scenes, resulting in an image with a footprint of approximately 20 km x 5.9 km. The products may contain artifacts resulting from the composing process, particular offsets in areas of stitched source scenes. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided." proprietary
+SkySatESAarchive_8.0 Skysat ESA archive ESA STAC Catalog 2016-02-29 -180, -84, 180, 84 https://cmr.earthdata.nasa.gov/search/concepts/C2547572338-ESA.umm_json "The SkySat ESA archive collection consists of SkySat products requested by ESA supported projects over their areas of interest around the world and that ESA collected over the years. The dataset regularly grows as ESA collects new products. Two different product types are offered, Ground Sampling Distance at nadir up to 65 cm for panchromatic and up to 0.8m for multi-spectral. EO-SIP Product Type Product Description Content SSC_DEF_SC Basic and Ortho scene Level 1B 4-bands Analytic /DN Basic scene Level 1B 4-bands Panchromatic /DN Basic scene Level 1A 1-band Panchromatic DN Pre Sup resolution Basic scene Level 3B 3-bands Visual Ortho Scene Level 3B 4-bands Pansharpened Multispectral Ortho Scene Level 3B 4-bands Analytic/DN/SR Ortho Scene Level 3B 1-band Panchromatic /DN Ortho Scene SSC_DEF_CO Ortho Collect Visual 3-band Pansharpened Image Multispectral 4-band Pansharpened Image Multispectral 4-band Analytic/DN/SR Image (B, G, R, N) 1-band Panchromatic Image The Basic Scene product is uncalibrated, not radiometrically corrected for atmosphere or for any geometric distortions inherent in the imaging process: Analytic - unorthorectified, radiometrically corrected, multispectral BGRN Analytic DN - unorthorectified, multispectral BGRN Panchromatic - unorthorectified, radiometrically corrected, panchromatic (PAN) Panchromatic DN - unorthorectified, panchromatic (PAN) L1A Panchromatic DN - unorthorectified, pre-super resolution, panchromatic (PAN) The Ortho Scene product is sensor and geometrically corrected, and is projected to a cartographic map projection: Visual - orthorectified, pansharpened, and colour-corrected (using a colour curve) 3-band RGB Imagery Pansharpened Multispectral - orthorectified, pansharpened 4-band BGRN Imagery Analytic SR - orthorectified, multispectral BGRN. Atmospherically corrected Surface Reflectance product. Analytic - orthorectified, multispectral BGRN. Radiometric corrections applied to correct for any sensor artifacts and transformation to top-of-atmosphere radiance. Analytic DN - orthorectified, multispectral BGRN, uncalibrated digital number imagery product Radiometric corrections applied to correct for any sensor artifacts Panchromatic - orthorectified, radiometrically correct, panchromatic (PAN) Panchromatic DN - orthorectified, panchromatic (PAN), uncalibrated digital number imagery product The Ortho Collect product is created by composing SkySat Ortho Scenes along an imaging strip. The product may contain artifacts resulting from the composing process, particular offsets in areas of stitched source scenes. Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/smcat/SkySat/ available on the Third Party Missions Dissemination Service. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided." proprietary
Smallholder Cashew Plantations in Benin_1 Smallholder Cashew Plantations in Benin MLHUB STAC Catalog 2020-01-01 2023-01-01 2.4636579, 9.0570625, 2.5618896, 9.1603783 https://cmr.earthdata.nasa.gov/search/concepts/C2781412245-MLHUB.umm_json This dataset contains labels for cashew plantations in a 120 km^2 area in the center of Benin. Each pixel is classified for Well-managed plantation, Poorly-managed plantation, No plantation and other classes. The labels are generated using a combination of ground data collection with a handheld GPS device, and final corrections based on Airbus Pléiades imagery. proprietary
SnowMeltDuration_PMicrowave_1843_1.1 ABoVE: Passive Microwave-derived Annual Snow Melt Duration Date Maps, 1988-2018 ORNL_CLOUD STAC Catalog 1988-02-09 2018-07-20 -180, 51.6, -107.83, 72.41 https://cmr.earthdata.nasa.gov/search/concepts/C2223093928-ORNL_CLOUD.umm_json This dataset provides the annual period of snowpack melting (i.e., snow melt duration, SMD) across northwest Canada; Alaska, U.S.; and parts of far eastern Russia at 6.25 km resolution for the period 1988-2018. SMD is the number of days between the main melt onset date (MMOD) and the last day of seasonal snow cover when the melting of snow is complete. These dates were derived from the Making Earth Science Data Records for Use in Research Environments (MEaSUREs) Calibrated Enhanced-Resolution Passive Microwave (PMW) EASE-Grid Brightness Temperature (Tb) Earth System Data Record (ESDR). This dataset documents variability in SMD across space and the 31-year temporal period. The data from 1988-2016 included a coastal mask removing coastal pixels due to potential water contamination from coarse brightness temperature observations (Dersken et al., 2012). There is not a coastal mask for the 2017-2018 data. The full data are included, and data users should be aware that coastal values can be adversely affected by adjacent water bodies. proprietary
Snow_Cover_Extent_and_Depth_1757_1 ABoVE: High Resolution Cloud-Free Snow Cover Extent and Snow Depth, Alaska, 2001-2017 ORNL_CLOUD STAC Catalog 2001-01-01 2017-12-30 -179.18, 55.57, -132.58, 71.42 https://cmr.earthdata.nasa.gov/search/concepts/C2143402490-ORNL_CLOUD.umm_json This dataset provides estimates of maximum snow cover extent (SCE) and snow depth for each 8-day composite period from 2001 to 2017 at 1 km resolution across Alaska. The study area covers the majority land area of Alaska except for areas covered by perennial ice/snow or open water. A downscaling scheme was used in which Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2) global reanalysis 0.5 degree snow depth data were interpolated to a finer 1 km spatial grid. In the methods used, the downscaling scheme incorporated MODIS SCE (MOD10A2) to better account for the influence of local topography on the 1km snow distribution patterns. For MODIS cloud-contaminated pixels, persistent and patchy cloud cover conditions were improved by applying an elevation-based spatial filtering algorithm to predict snow occurrence. Cloud-free MODIS SCE data were then used to downscale MERRA-2 snow depth data. For each snow-covered 1 km pixel indicated by the MODIS data, the snow depth was estimated based on the snow depth of the neighboring MERRA-2 0.5 grid cell, with weights predicted using a spatial filter. proprietary
@@ -13357,7 +13370,7 @@ Sonoma_County_Forest_AGB_1764_1 CMS: LiDAR Biomass Improved for High Biomass For
South Africa Crop Type Competition_1 South Africa Crop Type Competition MLHUB STAC Catalog 2020-01-01 2023-01-01 17.818514, -34.1538276, 19.7650866, -30.7480751 https://cmr.earthdata.nasa.gov/search/concepts/C2781412651-MLHUB.umm_json This dataset was produced as part of the [Radiant Earth Spot the Crop Challenge](https://zindi.africa/hackathons/radiant-earth-spot-the-crop-hackathon). The objective of the competition was to create a machine learning model to classify fields by crop type from images collected during the growing season by the Sentinel-2 and Sentinel-1 satellites. proprietary
Southern_Boreal_Plot_Attribute_1740_1 ABoVE: Characterization of Burned and Unburned Boreal Forest Stands, SK, Canada, 2016 ORNL_CLOUD STAC Catalog 2016-05-30 2016-06-16 -109.17, 54.09, -104.69, 57.36 https://cmr.earthdata.nasa.gov/search/concepts/C2143402623-ORNL_CLOUD.umm_json This dataset provides the results of field measurements and estimates of carbon stocks and combustion rates that characterize burned and unburned southern boreal forest stands near the La Ronge and Weyakwin communities in central Saskatchewan (SK), Canada. Measurements were completed in 2016 at 47 stands that burned in the 2015 Saskatchewan wildfires (Egg, Philion, and Brady) and at 32 unburned stands in comparable adjacent areas. Stands were characterized through field observations and sampling of the vegetative community (i.e., tree species, abundance, and biophysical measurements, stand age, coarse woody debris, history of fires or logging), soils (i.e., soil moisture class, unburned and burned soil organic layer depth, samples for bulk density and carbon analyses), and basic landscape geophysical traits. From these results, the pre-fire carbon stocks and carbon combustion values from both the above- and below-ground pools were estimated using a combination of linear and mixed-effects modeling and were calibrated against carbons stocks from the unburned stands. Estimates of uncertainty were generated for above- and below-ground carbon stocks and combustion values using a Monte Carlo framework paired with classic uncertainty propagation techniques. proprietary
Southern_Ocean_Drifter_0 Southern Pacific Ocean drifter measurements in 1996 OB_DAAC STAC Catalog 1996-09-05 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360666-OB_DAAC.umm_json Measurements taken by a drifter in the Southern Pacific Ocean in 1996. proprietary
-Spire.live.and.historical.data_NA Spire live and historical data ESA STAC Catalog 2016-06-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689697-ESA.umm_json "The data collected by Spire from it's 110 satellites launched into Low Earth Orbit (LEO) has a diverse range of applications, from analysis of global trade patterns and commodity flows to aircraft routing to weather forecasting. The data also provides interesting research opportunities on topics as varied as ocean currents and GNSS-based planetary boundary layer height. The following products can be requested: ADS-B Data Stream Global ADS-B satellite data observed by Spire satellites and processed through the ground stations network. Historical ADS-B data older than 6 months can be delivered as data cuts containing CSV file(s) accessible through a Web Service or Cloud storage solutions. Live ADS-B data is available through a streaming API, and recent historical data can be accessed through a REST API. Data is distributed as a monthly subscription: historical data can be requested starting from 3 December 2008, the time period for live data starts from a user-defined date and continues for 30 days. AIS AIS messages include satellite AIS (S-AIS) as observed by Spire satellites and terrestrial AIS (T-AIS) from third party sensor stations (up to 40 million messages per day). Historical AIS data are delivered as a cvs file with availability back to June 2016 or via Historical API from December 2018; live AIS data are pushed to end users via TCP or through Messages API. Data is distributed as a monthly subscription, from a user-defined date and continues for a 30 day period. GNSS-Radio Occultation GNSS Radio Occultation (GNSS-RO) measurements are collected globally on a continuous basis, generating profiles of the Earth’s atmosphere. Derived Level 1 and Level 2 products include both atmospheric and ionospheric products. Historical data for most of the GNSS-RO products are available from December 2018 to the present. Near real-time (within 90 minutes or less latency from collection to delivery) GNSS-RO profiles are also available upon request. GNSS Reflectometry GNSS Reflectometry (GNSS-R) is a technique to measure Earth’s surface properties using reflections of GNSS signals in the form of a bistatic radar. Spire collects two types of GNSS-R data: conventional, near-nadir incidence LHCP reflections collected by the Spire GNSS-R satellites (e.g., Spire GNSS-R “Batch-1” satellites) and grazing angle (i.e., low elevation angle) RHCP reflections collected by the Spire GNSS-RO satellites. Derived Level 1 and Level 2 products are available, as well as some special Level 0 raw intermediate frequency (IF) data. Historical grazing angle GNSS-R data are available from May 2019 to the present, while conventional GNSS-R data are available from December 2020 to the present. Name: Automatic Identification System (AIS) Description: The automatic identification system (AIS) is an automatic tracking system that uses transponders on ships and is used by vessel traffic services. Spire data includes satellite AIS (S-AIS) as observed by Spire satellites and terrestrial AIS (T-AIS) from third party sensor stations. Data format and content: .parquet.gz files The AIS files contain time-series data on received AIS messages, both the raw NMEA message and added post-processing data for each message. Application: Supply chain analysis, commodity trading, identification of illegal fishing or dark targets, ship route and fuel use optimization, analysis of global trade patterns, anti-piracy, autonomous vessel software, ocean currents. Name: Automatic Dependent Surveillance-Broadcast (ADS-B) Description: Spire AirSafe ADS-B products give access to satellite and terrestrial ADS-B data from captured aircrafts. Data format and content: .csv.gz files The decompressed csv file contains a list of hexadecimal representations of ADS-B messages associated with the timestamp they were received on the satellite. Application: Fleet management, ICAO regulatory compliance, route optimization, predictive maintenance, global airspace, domain awareness. Name: Global Navigation Satellite System Radio Occultation (GNSS-RO) Description: GNSS atmospheric radio occultation (GNSS-RO) relies on the detection of a change in a radio signal as it passes through a planet's atmosphere, i.e. as it is refracted by the atmosphere. This data set contains precise orbit determination (POD) solutions, satellite attitude information, high-rate occultation observations, excess phase, and derived atmospheric dry temperature profiles. Data format and content: podObs*.rnx This file contains raw pseudorange, carrier phase, Doppler frequency, and signal-to-noise measurements for each observed GPS signal from a single Spire satellite which allow to estimate the positions and velocities of each Spire satellite and also used to derive ionospheric total electron content data. leoOrb*.sp3 This file contains the estimated position, velocity and receiver clock error of a given Spire satellite after processing of the POD observation file leoAtt*.log It contains 1 Hz rate quaternion information measured from a single Spire satellite describing the satellite orientation. opnGns*ro.bin, opnGns*rst.bin these files contain raw measurements from the occulting GNSS satellite (one for each signal frequency) and raw phase data from one or more reference GNSS satellites. atmPhs* The file contains occultation excess phase delay. Also contains SNR values, ransmitter and receiver positions and open loop model information. atmPrf*.nc The file contains profiles of atmospheric dry pressure, dry temperature and neutral refractivity as a function of altitude produced from full processing of one occultation event. bfrPrf*.bufr The file contains derived profiles of dry pressure, dry temperature, refractivity and bending angle for each occultation. Application: Atmospheric profiles of pressure, dry temperature, bending angle, and refractivity used in numerical weather prediction data assimilation and climate change studies. Name: Raw IF samples from GNSS-RO satellites Description: Raw intermediate frequency (IF) sampled data (I/Q) from the GNSS receiver front-end of GNSS-RO satellites. Data format and content: rocRIF*.zip Binary raw IF data and associated ancillary data (e.g., POD data) in a zip archive per collection event. Application: GNSS-RO studies, GNSS RFI and jamming monitoring, research. Name: Raw IF samples from GNSS-R satellites Description: Raw intermediate frequency (IF) sampled data (I/Q) from the GNSS receiver front-end of conventional GNSS-R satellites. Data format and content: gbrRIF*.zip Binary raw IF data and associated ancillary data (e.g., POD data) in a zip archive per collection event. Application: GNSS-R studies, GNSS RFI and jamming monitoring, research, etc. Name: Grazing angle GNSS-R observations Description: During grazing angle GNSS-R events, signal reflection at two frequencies is observed through the limb-facing antenna and is trackedusing an open-loop tracking technique thatrelies on a model topredict the propagationdelay and Doppler of thereflected signal. Simultaneous open-looptracking of the signaldirectly along theline-of-sight from thetransmitter to thereceiver is alsoperformed to provideadditional data that maybenecessary for signalcalibration. The mainoutput of the open-looptracking are in-phase (I)and quadrature (Q)accumulation samples(nominally at 50 Hz),which represent the residual Doppler (phase) from the model. Data format and content: grzObs*.nc L1A filecontains rawopen loopcarrier phasemeasurementsat 50 Hzsampling forgrazingangleGNSS-Rreflectionscaptured in the GNSS-RO RHC Pantennas, (bothdirect andreflectedsignals) on GNSS-RO satellites. Application: Sea surface and sea ice height extent, and classification. Name: Georeferenced grazing angle GNSS-R observations Description: The low-levelobservations of the high-rate grazing angle GNSS-R observationsbut withthegeoreferenced bistatic radar parameters of the satellite receiver,specular reflection, and GNSS transmitter included. Data format and content: grzRfl*.nc L1B file contains the georeferenced grazing angle GNSS-R data collected by Spire GNSS-RO satellites, including the low-level observables and bistatic radar geometries (e.g., receiver, specular reflection, and the transmitter locations). Application: Sea surface and sea ice height extent, and classification Name: GNSS-R calibrated bistatic radar reflectivities Description: Higher level product used to derive land-surface reflectivity. Data format and content: gbrRfl*.nc L1A along-track calibrated relative power between reflected and direct signals (e.g., bistatic radar reflectivities) measured by Spire conventional GNSS-R satellites. Application: GNSS-R studies, soil moisture, ocean wind, and sea ice applications Name: GNSS-R calibrated bistatic radar cross-sections Description: Higher level product used to derive ocean surface roughness products. Data format and content: gbrRCS*.nc L1B along-track calibrated and normalized bistatic radar cross-sections measured by Spire conventional GNSS-R satellites. Application: GNSS-R studies, ocean wind and sea ice applications Name: Combined Surface Soil Moisture Description: Combined CYGNSS and SMAP soil moisture data are provided as a combined surface soil moisture (COMB-SSM) product in two data level formats: L2U1 and L3U1. 6 x 6 km grid cell. L-band measurements of surface soil moisture benefit from better vegetation penetration in comparison to traditional C-band measurements. Data format and content: COMB-SSM.nc This file contains the combined data product containing measurements from both CYGNSS and SMAP reported on a 6 km global Equi7Grid grid. Application: Agriculture, crop insurance, farming solutions, climatology, terrain awareness, peatlands and wetlands monitoring etc. Name: Ionosphere total electron content Description: Spire routinely collects and processes a large volume of total electron content (TEC) data, representing the line-of-sight integration of electron density between a Spire satellite and a GNSS satellite. Each file contains line-of-sight ionospheric total electron content (TEC) estimates derived for a ‘single viewing arc’ contained in the POD observation file. Viewing arcs are at least 10 minutes in duration. Data format and content: podTec*.nc This file contains the line-of-sight total electron content with associated orbital information. Application: Space weather research, tsunamigenic earthquakes, weather applications, space situational awareness (SSA), autonomous vehicles etc Name: Ionosphere scintillation Description: The scintillation index for each GNSS frequency is computed onboard the spacecraft. This index provides a measure of the fluctuations of the GNSS signal over the course of 10 seconds caused by propagation of the radio signals through electron density irregularities in the ionosphere. After the raw indices are downlinked to the ground, they are packaged along with associated metadata such as orbit position to create the final scintillation data product. Data format and content: scnLv1*.nc This file contains on-board computed scintillation data (S4 only) with associated orbital information Application: Space weather research, solar events, TIDs, weather applications positioning and navigation, communications etc. Name: Electron density profile Description: Electron density profiles are retrieved as a function of altitude. Electron density profiles are processed from podTec netcdf files, which span a sufficient elevation angle range. A standard Abel inversion algorithm is applied to retrieve the profiles. Data format and content: ionPrf*.nc This file contains electron density profile retrieved from podTec files spanning appropriate elevation angle range Application: Space weather research, solar events, TIDs, weather applications positioning and navigation, communications. The products are available as part of the Spire provision with worldwide coverage. All details about the data provision, data access conditions and quota assignment procedure are described in the Terms of Applicability (https://earth.esa.int/eogateway/documents/20142/37627/SPIRE-Terms-Of-Applicability.pdf/0dd8b3e8-05fe-3312-6471-a417c6503639)." proprietary
+Spire.live.and.historical.data_8.0 Spire live and historical data ESA STAC Catalog 2016-06-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689697-ESA.umm_json "The data collected by Spire from it's 100 satellites launched into Low Earth Orbit (LEO) has a diverse range of applications, from analysis of global trade patterns and commodity flows to aircraft routing to weather forecasting. The data also provides interesting research opportunities on topics as varied as ocean currents and GNSS-based planetary boundary layer height. The following products can be requested: GNSS Polarimetric Radio Occultation (STRATOS) Novel Polarimetric Radio Occultation (PRO) measurements collected by three Spire satellites are available over 15-May-2023 to 30-November-2023. PRO differ from regular RO (described below) in that the H and V polarizations of the signal are available, as opposed to only Right-Handed Circularly Polarized (RHCP) signals in regular RO. The differential phase shift between H and V correlates with the presence of hydrometeors (ice crystals, rain, snow, etc.). When combined, the H and V information provides the same information on atmospheric thermodynamic properties as RO: temperature, humidity, and pressure, based on the signal’s bending angle. Various levels of the products are provided. GNSS Reflectometry (STRATOS) GNSS Reflectometry (GNSS-R) is a technique to measure Earth’s surface properties using reflections of GNSS signals in the form of a bistatic radar. Spire collects two types of GNSS-R data: Near-Nadir incidence LHCP reflections collected by the Spire GNSS-R satellites, and Grazing-Angle GNSS-R (i.e., low elevation angle) RHCP reflections collected by the Spire GNSS-RO satellites. The Near-Nadir GNSS-R collects DDM (Delay Doppler Map) reflectivity measurements. These are used to compute ocean wind / wave conditions and soil moisture over land. The Grazing-Angle GNSS-R collects 50 Hz reflectivity and additionally carrier phase observations. These are used for altimetry and characterization of smooth surfaces (such as ice and inland water). Derived Level 1 and Level 2 products are available, as well as some special Level 0 raw intermediate frequency (IF) data. Historical grazing angle GNSS-R data are available from May 2019 to the present, while near-nadir GNSS-R data are available from December 2020 to the present. Name Temporal coverage Spatial coverage Description Data format and content Application Polarimetric Radio Occultation (PRO) measurements 15-May-2023 to 30-November-2023 Global PRO measurements observe the properties of GNSS signals as they pass through by Earth's atmosphere, similar to regular RO measurements. The polarization state of the signals is recorded separately for H and V polarizations to provide information on the anisotropy of hydrometeors along the propagation path. leoOrb.sp3. This file contains the estimated position, velocity and receiver clock error of a given Spire satellite after processing of the POD observation file PRO measurements add a sensitivity to ice and precipitation content alongside the traditional RO measurements of the atmospheric temperature, pressure, and water vapor. proObs. Level 0 - Raw open loop carrier phase measurements at 50 Hz sampling for both linear polarization components (horizontal and vertical) of the occulted GNSS signal. h(v)(c)atmPhs. Level 1B - Atmospheric excess phase delay computed for each individual linear polarization component (hatmPhs, vatmPhs) and for the combined (“H” + “V”) signal (catmPhs). Also contains values for signal-to-noise ratio, transmitter and receiver positions and open loop model information. polPhs. Level 1C - Combines the information from the hatmPhs and vatmPhs files while removing phase continuities due to phase wrapping and navigation bit modulation. patmPrf. Level 2 - Bending angle, dry refractivity, and dry temperature as a function of mean sea level altitude and impact parameter derived from the “combined” excess phase delay (catmPhs) Near-Nadir GNSS Reflectometry (NN GNSS-R) measurements 25-January-2024 to 24-July-2024 Global Tracks of surface reflections as observed by the near-nadir pointing GNSS-R antennas, based on Delay Doppler Maps (DDMs). gbrRCS.nc. Level 1B - Along-track calibrated bistatic radar cross-sections measured by Spire conventional GNSS-R satellites. NN GNSS-R measurements are used to measure ocean surface winds and characterize land surfaces for applications such as soil moisture, freeze/thaw monitoring, flooding detection, inland water body delineation, sea ice classification, etc. gbrNRCS.nc. Level 1B - Along-track calibrated bistatic and normalized radar cross-sections measured by Spire conventional GNSS-R satellites. gbrSSM.nc. Level 2 - Along-track SNR, reflectivity, and retrievals of soil moisture (and associated uncertainties) and probability of frozen ground. gbrOcn.nc. Level 2 - Along-track retrievals of mean square slope (MSS) of the sea surface, wind speed, sigma0, and associated uncertainties. Grazing angle GNSS Reflectometry (GA GNSS-R) measurements 25-January-2024 to 24-July-2024 Global Tracks of surface reflections as observed by the limb-facing RO antennas, based on open-loop tracking outputs: 50 Hz collections of accumulated I/Q observations. grzRfl.nc. Level 1B - Along-track SNR, reflectivity, phase delay (with respect to an open loop model) and low-level observables and bistatic radar geometries such as receiver, specular reflection, and the transmitter locations. GA GNSS-R measurements are used to 1) characterize land surfaces for applications such as sea ice classification, freeze/thaw monitoring, inland water body detection and delineation, etc., and 2) measure relative altimetry with dm-level precision for inland water bodies, river slopes, sea ice freeboard, etc., but also water vapor characterization from delay based on tropospheric delays. grzIce.nc. Level 2 - Along-track water vs sea ice classification, along with sea ice type classification. grzAlt.nc. Level 2 - Along-track phase-delay, ionosphere-corrected altimetry, tropospheric delay, and ancillary models (mean sea surface, tides). Additionally, the following products (better detailed in the ToA) can be requested but the acceptance is not guaranteed and shall be evaluated on a case-by-case basis: Other STRATOS measurements: profiles of the Earth’s atmosphere and ionosphere, from December 2018 ADS-B Data Stream: monthly subscription to global ADS-B satellite data, available from December 2018 AIS messages: AIS messages observed from Spire satellites (S-AIS) and terrestrial from partner sensor stations (T-AIS), monthly subscription available from June 2016 The products are available as part of the Spire provision with worldwide coverage. All details about the data provision, data access conditions and quota assignment procedure are described in the _$$Terms of Applicability$$ https://earth.esa.int/eogateway/documents/20142/37627/SPIRE-Terms-Of-Applicability.pdf/0dd8b3e8-05fe-3312-6471-a417c6503639 ." proprietary
Stream_GIS_USGS Digital Line Graphs of U.S. Streams for the EPA Clean Air Mapping and Analysis Program (C-MAP) CEOS_EXTRA STAC Catalog 1970-01-01 -127.77, 23.25, -65.71, 48.15 https://cmr.earthdata.nasa.gov/search/concepts/C2231553171-CEOS_EXTRA.umm_json This is a 1:2,000,000 coverage of streams for the conterminous United States. This coverage was intended for use as a background display for the National Water Summary program. The stream layer was extracted from the 1:2,000,000 Digital Line Graph files. Originally, each state was stored as a separate coverage. In this version, the individual state coverages all have been appended. [Summary provided by EPA] proprietary
Surface_Oligo_Med_Sea_0 Surface oligotrophic measurements in the West-central Mediterranean Sea OB_DAAC STAC Catalog 2008-07-03 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360667-OB_DAAC.umm_json Measurements taken in the west-central Mediterranean Sea of surface oligotrophic water in 2008. proprietary
Survey_1980_81_Ingrid_Christenson_1 Gravity and Miscellaneous Fieldwork Report - Ingrid Christenson Coast 1980-81 AU_AADC STAC Catalog 1980-10-01 1981-02-28 75, -69.5, 79, -66 https://cmr.earthdata.nasa.gov/search/concepts/C1214313835-AU_AADC.umm_json Report on field season on Ingrid Christenson coast summer 1980-81. Program aims: Helicopter Geophysical (gravity) Glaciological Survey; Palaeomagnetism, Vertical Air Photography. See the report for more details. proprietary
@@ -13368,17 +13381,17 @@ Survey_1989_90_mawson_1 Mawson Blue Ice Runway Reconnaissance Survey, February 1
Survey_compilation_macquarie_island_1992_1996_1 Macquarie Island - compilation survey results for period 1992 to 1996 by surveyors Brolsma, Boland and Ward AU_AADC STAC Catalog 1992-11-01 1996-02-29 158.76617, -54.78168, 158.95294, -54.47882 https://cmr.earthdata.nasa.gov/search/concepts/C1214314090-AU_AADC.umm_json This report compiles the survey work on Macquarie Island for the summer seasons between November 1992 and February 1996. It includes survey of ground control points throughout the island, at the station and levelling at the tide gauge site in Garden Bay adjacent to Macquarie Island station. The survey control data has been included in the Australian Antarctic Data Centre survey control database. proprietary
Survey_report_Macquarie-Island_2011_12_V6_1 Macquarie Island Mapping Program Field Work Report Voyage 6 Round Trip April 2012 AU_AADC STAC Catalog 2012-04-19 2012-04-27 158.76755, -54.78247, 158.95432, -54.47882 https://cmr.earthdata.nasa.gov/search/concepts/C1214311406-AU_AADC.umm_json Taken from the survey report: This report details the survey work carried out on Macquarie Island in April 2012 on re-supply Voyage 6 by Australian Antarctic Division Mapping Officer, Henk Brolsma and UTAS final year survey student, David Cromarty. The first task of the survey team was to calibrate the tide gauges and second to bring the location of the station area buildings up to date. Second priority was to survey the natural surface level of; a) The isthmus for erosion studies and b) Wireless Hill to prepare an accurate DEM for the hill. Project Brief The survey-mapping brief lists the following tasks in order of priority: 1. Calibrate the tide gauges in Garden Bay using the GPS in the float technique, 2. Level between the tide gauge bench marks and the tide gauge reference points, 3. Survey location of new buildings, 4. Survey new tourist walkway and 5. Survey natural surface profiles of the isthmus. See the report for full details. proprietary
SwAO_0 Southwest Atlantic Ocean (SwAO) optical measurements OB_DAAC STAC Catalog 1995-03-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360668-OB_DAAC.umm_json Measurements made in the southwest Atlantic Ocean spanning 1995 to 2004. proprietary
-Swarm.Core_NA Swarm Core ESA STAC Catalog 2018-11-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689653-ESA.umm_json Spherical harmonic model of the main (core) field and its temporal variation proprietary
-Swarm.Geodesy_Gravity_NA Swarm Geodesy/Gravity ESA STAC Catalog 2018-11-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689597-ESA.umm_json Monthly gravity field of the Earth, non-gravitational accelerations proprietary
-Swarm.Ionosphere_Magnetosphere_NA Swarm Ionosphere/Magnetosphere ESA STAC Catalog 2018-11-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689690-ESA.umm_json Spherical harmonic model of the large-scale magnetospheric field and its Earth-induced counterpart, spherical harmonic model of the daily geomagnetic variation at middle latitudes and low latitudes ,Ionospheric bubble index, ionospheric total electron content, ionosphericfield-aligned currents, dayside ionospheric equatorial electric field, ionospheric plasma density and plasma irregularities proprietary
-Swarm.L1B_NA Swarm Level 1B ESA STAC Catalog 2013-11-25 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689688-ESA.umm_json The Level 1b products of the Swarm mission contains time-series of quality-screen, calibrated, and corrected measurements given in physical, SI units in geo-localized reference frames. Level 1b products are provided individually for each of the three satellites Swarm A, Swarm B, and Swarm C on a daily basis. proprietary
-Swarm.L2.daily_NA Swarm Level 2 daily ESA STAC Catalog 2013-11-25 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689491-ESA.umm_json The Swarm Level 1b data products are the corrected and formatted output from each of the three Swarm satellites. By a complex assimilation of these individual satellite measurements into one set of products for the satellite constellation, the Swarm Level 2 Processor ensures a very significant improvement of the quality of the final scientific data products. proprietary
-Swarm.L2.longterm_NA Swarm Level 2 longterm ESA STAC Catalog 2013-11-25 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689618-ESA.umm_json The Swarm Level 2 Long Term data products are the corrected and formatted output from each of the three Swarm satellites. By a complex assimilation of these individual satellite measurements into one set of products for the satellite constellation, the Swarm Level 2 Processor ensures a very significant improvement of the quality of the final scientific data products. proprietary
-Swarm.Lithosphere_NA Swarm Lithosphere ESA STAC Catalog 2018-11-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689639-ESA.umm_json Spherical harmonic model of the lithospheric field proprietary
-Swarm.Mantle_NA Swarm Mantle ESA STAC Catalog 2018-11-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689591-ESA.umm_json Model of mantle conductivity, core-mantle interaction proprietary
-Swarm.Oceans_NA Swarm Oceans ESA STAC Catalog 2018-11-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689542-ESA.umm_json Oceans tides, induced magnetic field proprietary
-Swarm.Space.Weather_NA Swarm Space Weather ESA STAC Catalog 2018-11-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689689-ESA.umm_json Environmental conditions in Earth's magnetosphere, ionosphere and thermosphere due to the solar activity that drive the Sun-Earth interactions proprietary
-Swarm.Thermosphere_NA Swarm Thermosphere ESA STAC Catalog 2018-11-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689496-ESA.umm_json Neutral thermospheric density proprietary
+Swarm.Core_3.0 Swarm Core ESA STAC Catalog 2018-11-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689653-ESA.umm_json Spherical harmonic model of the main (core) field and its temporal variation proprietary
+Swarm.Geodesy_Gravity_3.0 Swarm Geodesy/Gravity ESA STAC Catalog 2018-11-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689597-ESA.umm_json Monthly gravity field of the Earth, non-gravitational accelerations proprietary
+Swarm.Ionosphere_Magnetosphere_3.0 Swarm Ionosphere/Magnetosphere ESA STAC Catalog 2018-11-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689690-ESA.umm_json Spherical harmonic model of the large-scale magnetospheric field and its Earth-induced counterpart, spherical harmonic model of the daily geomagnetic variation at middle latitudes and low latitudes ,Ionospheric bubble index, ionospheric total electron content, ionosphericfield-aligned currents, dayside ionospheric equatorial electric field, ionospheric plasma density and plasma irregularities proprietary
+Swarm.L1B_4.0 Swarm Level 1B ESA STAC Catalog 2013-11-25 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689688-ESA.umm_json The Level 1b products of the Swarm mission contains time-series of quality-screen, calibrated, and corrected measurements given in physical, SI units in geo-localized reference frames. Level 1b products are provided individually for each of the three satellites Swarm A, Swarm B, and Swarm C on a daily basis. proprietary
+Swarm.L2.daily_3.0 Swarm Level 2 daily ESA STAC Catalog 2013-11-25 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689491-ESA.umm_json The Swarm Level 1b data products are the corrected and formatted output from each of the three Swarm satellites. By a complex assimilation of these individual satellite measurements into one set of products for the satellite constellation, the Swarm Level 2 Processor ensures a very significant improvement of the quality of the final scientific data products. proprietary
+Swarm.L2.longterm_3.0 Swarm Level 2 longterm ESA STAC Catalog 2013-11-25 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689618-ESA.umm_json The Swarm Level 2 Long Term data products are the corrected and formatted output from each of the three Swarm satellites. By a complex assimilation of these individual satellite measurements into one set of products for the satellite constellation, the Swarm Level 2 Processor ensures a very significant improvement of the quality of the final scientific data products. proprietary
+Swarm.Lithosphere_3.0 Swarm Lithosphere ESA STAC Catalog 2018-11-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689639-ESA.umm_json Spherical harmonic model of the lithospheric field proprietary
+Swarm.Mantle_3.0 Swarm Mantle ESA STAC Catalog 2018-11-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689591-ESA.umm_json Model of mantle conductivity, core-mantle interaction proprietary
+Swarm.Oceans_3.0 Swarm Oceans ESA STAC Catalog 2018-11-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689542-ESA.umm_json Oceans tides, induced magnetic field proprietary
+Swarm.Space.Weather_3.0 Swarm Space Weather ESA STAC Catalog 2018-11-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689689-ESA.umm_json Environmental conditions in Earth's magnetosphere, ionosphere and thermosphere due to the solar activity that drive the Sun-Earth interactions proprietary
+Swarm.Thermosphere_4.0 Swarm Thermosphere ESA STAC Catalog 2018-11-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689496-ESA.umm_json Neutral thermospheric density proprietary
TAHOE_0 Optical measurements in Lake Tahoe during 2001 OB_DAAC STAC Catalog 2001-09-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360670-OB_DAAC.umm_json Measurements made in Lake Tahoe in Northern California during 2001. proprietary
TAO_0 Tropical Atmosphere Ocean (TOA) buoy array OB_DAAC STAC Catalog 2001-05-10 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360672-OB_DAAC.umm_json Measurements from the ships visiting the TOA (Tropical Atmosphere Ocean) buoy array. proprietary
TAO_Moorings_0 Tropical Atmosphere Ocean (TAO) Moored Buoy Array OB_DAAC STAC Catalog 1992-03-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360673-OB_DAAC.umm_json Mooring data from the TAO buoy array between 1992 and 2002. proprietary
@@ -13391,6 +13404,12 @@ TARFOX_WALLOPS_SMPS_1 Tropospheric Aerosol Radiative Forcing Observational eXper
TARFOX_WALLOPS_SONDE_1 Tropospheric Aerosol Radiative Forcing Observational eXperiment (TARFOX) - Vaisala Radiosonde data from Wallops ground station LARC_ASDC STAC Catalog 1996-07-10 1996-07-31 -75.48, 37.85, -75.48, 37.85 https://cmr.earthdata.nasa.gov/search/concepts/C1536049399-LARC_ASDC.umm_json TARFOX_WALLOPS_SONDE is the Tropospheric Aerosol Radiative Forcing Observational eXperiment (TARFOX) Vaisala radiosonde data set from balloons launched at Wallops ground station. The TARFOX Intensive Field Campaign was conducted July 10-31, 1996. It included coordinated measurements from four satellites (GOES-8, NOAA-14, ERS-2, LANDSAT), four aircraft (ER-2, C-130, C-131A, and a modified Cessna), land sites, and ships. A variety of aerosol conditions was sampled, ranging from relatively clean behind frontal passages to moderately polluted with aerosol optical depths exceeding 0.5 at mid-visible wavelengths. Gradients of aerosol optical thickness were sampled to aid in isolating aerosol effects from other radiative effects and to more tightly constrain closure tests, including those of satellite retrievals. Early results from TARFOX include demonstration of the unexpected importance of carbonaceous compounds and water condensed on aerosol in the US mid-Atlantic haze plume, chemical apportionment of the aerosol optical depth, measurements of the downward component of aerosol radiative forcing, and agreement between forcing measurements and calculations. proprietary
TCTE3TSI6_004 TCTE Level 3 Total Solar Irradiance 6-Hour Means V004 (TCTE3TSI6) at GES DISC GES_DISC STAC Catalog 2013-12-13 2019-05-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1704861146-GES_DISC.umm_json TCTE3TSI6 Version 004 is the final version of this data product, and supersedes all previous versions. The Total Solar Irradiance (TSI) Calibration Transfer Experiment (TCTE) data set TCTE3TSI6 contains 6-hour averaged total solar irradiance (a.k.a solar constant) data collected by the Total Irradiance Monitor (TIM) instrument covering the full wavelength spectrum. The data are normalized to one astronomical unit (1 AU). The TCTE/TIM instrument measures the Total Solar Irradiance (TSI), monitoring changes in incident sunlight to the Earth's atmosphere using an ambient temperature active cavity radiometer to a designed absolute accuracy of 350 parts per million (ppm, 1 ppm=0.0001% at 1-sigma), and a precision and long-term relative accuracy of 10 ppm per year. Due to the small size of these data and to maximize ease of use to end-users, each delivered TSI product contains science results for the entire mission in an ASCII column formatted file. Early in the mission, between Dec 2013 and May 2014, TCTE acquired daily measurements to establish good overlap with the SORCE TIM. From May 2014 to Dec 2014, the TCTE measurements were reduced to weekly, which greatly subsample the true solar variability, and thus have little value for solar research. Beginning in Jan 2015, daily obervations were resumed. The mission ended June 30, 2019. proprietary
TCTE3TSID_004 TCTE Level 3 Total Solar Irradiance Daily Means V004 (TCTE3TSID) at GES DISC GES_DISC STAC Catalog 2013-12-13 2019-05-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1704861169-GES_DISC.umm_json TCTE3TSID Version 004 is the final version of this data product, and supersedes all previous versions. The Total Solar Irradiance (TSI) Calibration Transfer Experiment (TCTE) data set TCTE3TSID contains daily averaged total solar irradiance (a.k.a solar constant) data collected by the Total Irradiance Monitor (TIM) instrument covering the full wavelength spectrum. The data are normalized to one astronomical unit (1 AU). The TCTE/TIM instrument measures the Total Solar Irradiance (TSI), monitoring changes in incident sunlight to the Earth's atmosphere using an ambient temperature active cavity radiometer to a designed absolute accuracy of 350 parts per million (ppm, 1 ppm=0.0001% at 1-sigma), and a precision and long-term relative accuracy of 10 ppm per year. Due to the small size of these data and to maximize ease of use to end-users, each delivered TSI product contains science results for the entire mission in an ASCII column formatted file. Early in the mission, between Dec 2013 and May 2014, TCTE acquired daily measurements to establish good overlap with the SORCE TIM. From May 2014 to Dec 2014, the TCTE measurements were reduced to weekly, which greatly subsample the true solar variability, and thus have little value for solar research. Beginning in Jan 2015, daily obervations were resumed. The mission ended June 30, 2019. proprietary
+TDPforAtmosphere_4.0 Atmospheric Thematic Data Product [MWR_TDPATM] ESA STAC Catalog 1991-08-03 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3325393992-ESA.umm_json This is the Atmospheric Thematic Data Product (TDP) V1 resulting from the _$$ESA FDR4ALT project$$ https://www.fdr4alt.org/ and containing Total Column Water Vapour (TCWV), Cloud Liquid Water Path (LWP), Atmospheric Attenuation of the altimeter backscattering coefficient at Ku-band (AttKu), and Wet Tropospheric Correction (WTC), retrieved from observations of the Microwave Radiometer (MWR) instruments flown on-board the ERS-1, and ERS-2, and Envisat satellites. Compared to existing datasets, the Atmospheric TDP demonstrates notable improvements in several aspects: Improved temporal coverage, especially for ERS-2 Improved L0 -> 1 processing Two different corrections are provided based on a neural network retrieval or on a 1D-VAR approach The FDR4ALT products are available in NetCDF format. Free standard tools for reading NetCDF data can be used. Information for expert altimetry users is also available in a dedicated NetCDF group within the products. Please consult the _$$FDR4ALT Product User Guide$$ https://earth.esa.int/eogateway/documents/d/earth-online/fdr4alt-products-user-guide before using the data. The FDR4ALT datasets represent the new reference data for the ERS/Envisat altimetry missions, superseding any previous mission data. Users are strongly encouraged to make use of these datasets for optimal results. proprietary
+TDPforInlandWater_4.0 Inland Waters Thematic Data Product [ALT_TDP_IW] ESA STAC Catalog 1991-08-04 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3325394637-ESA.umm_json This is the Inland Waters Thematic Data Product (TDP) V1 resulting from the _$$ESA FDR4ALT project$$ https://www.fdr4alt.org/ and containing improved Water Surface Height (WSH) data record from the ERS-1, ERS-2 and Envisat missions estimated using the ICE1 retracking range for its better performance on the hydro targets. The FDR4ALT products are available in NetCDF format. Free standard tools for reading NetCDF data can be used. Information for expert altimetry users is also available in a dedicated NetCDF group within the products. Please consult the _$$FDR4ALT Product User Guide$$ https://earth.esa.int/eogateway/documents/d/earth-online/fdr4alt-products-user-guide before using the data. The FDR4ALT datasets represent the new reference data for the ERS/Envisat altimetry missions, superseding any previous mission data. Users are strongly encouraged to make use of these datasets for optimal results. proprietary
+TDPforLandice_4.0 Land Ice Thematic Data Product [ALT_TDP_LI] ESA STAC Catalog 1991-08-03 2012-03-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3325393938-ESA.umm_json This is the Land Ice Thematic Data Product (TDP) V1 resulting from the _$$ESA FDR4ALT project$$ https://www.fdr4alt.org/ and containing estimates of ice sheet surface elevation and associated uncertainties. The collection covers data for three different missions: ERS-1, ERS-2 and Envisat, and based on Level 1 data coming from previous reprocessing (ERS REAPER and the Envisat V3.0) but taking into account the improvements made at Level 0/Level 1 in the frame of FDR4ALT (_$$ALT FDR$$ https://earth.esa.int/eogateway/catalog/fdr-for-altimetry). The Land Ice TDP focuses specifically on the ice sheets of Greenland and Antarctica, providing these data in different files. For many aspects, the Land Ice Level 2 and Level 2+ processing is very innovative: Improved relocation approach correcting for topographic effects within the beam footprint to identify the Point of Closest Approach Homogeneous timeseries of surface elevation measurements at regular along-track reference nodes. The FDR4ALT products are available in NetCDF format. Free standard tools for reading NetCDF data can be used. Information for expert altimetry users is also available in a dedicated NetCDF group within the products. Please consult the _$$FDR4ALT Product User Guide$$ https://earth.esa.int/eogateway/documents/d/earth-online/fdr4alt-products-user-guide before using the data. The FDR4ALT datasets represent the new reference data for the ERS/Envisat altimetry missions, superseding any previous mission data. Users are strongly encouraged to make use of these datasets for optimal results. proprietary
+TDPforOceanCoastalTopography_4.0 Ocean and Coastal Topography Thematic Data Product [ALT_TDP_OC] ESA STAC Catalog 1991-08-03 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3325394134-ESA.umm_json This is the Ocean and Coastal Topography Thematic Data Product (TDP) V1 resulting from the _$$ESA FDR4ALT project$$ https://www.fdr4alt.org/ and containing improved sea surface height anomaly data records both at 1 Hz and 20 Hz resolution to address climate and/or coastal areas studies. The collection covers data for the ERS-1, ERS-2 and Envisat missions. Note that a dedicated processing to coastal zones has been applied for coastal distances below 200 km. Compared to existing datasets, the Ocean and Coastal Topography TDP demonstrates notable improvements in several aspects: Up-to-date orbit and geophysical corrections applied Adaptive retracker for Envisat The FDR4ALT products are available in NetCDF format. Free standard tools for reading NetCDF data can be used. Information for expert altimetry users is also available in a dedicated NetCDF group within the products. Please consult the _$$FDR4ALT Product User Guide$$ https://earth.esa.int/eogateway/documents/d/earth-online/fdr4alt-products-user-guide before using the data. The FDR4ALT datasets represent the new reference data for the ERS/Envisat altimetry missions, superseding any previous mission data. Users are strongly encouraged to make use of these datasets for optimal results. proprietary
+TDPforOceanWaves_4.0 Ocean Waves Thematic Data Product [ALT_TDP_WA] ESA STAC Catalog 1991-08-03 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3325394617-ESA.umm_json This is the Ocean Waves Thematic Data Product (TDP) V1 resulting from the _$$ESA FDR4ALT project$$ https://www.fdr4alt.org/ and containing Significant Wave Height estimates for the ERS-1, ERS-2 and Envisat missions. Compared to existing datasets, the Ocean Waves TDP demonstrates notable improvements in several aspects: Great improvements for Envisat due to noise reduction from Adaptive retracker and High-Frequency Adjustment (HFA) All variables are given at 5 Hz The FDR4ALT products are available in NetCDF format. Free standard tools for reading NetCDF data can be used. Information for expert altimetry users is also available in a dedicated NetCDF group within the products. Please consult the _$$FDR4ALT Product User Guide$$ https://earth.esa.int/eogateway/documents/d/earth-online/fdr4alt-products-user-guide before using the data. The FDR4ALT datasets represent the new reference data for the ERS/Envisat altimetry missions, superseding any previous mission data. Users are strongly encouraged to make use of these datasets for optimal results. proprietary
+TDPforSeaice_4.0 Sea Ice Thematic Data Product [ALT_TDP_SI] ESA STAC Catalog 1991-08-03 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3325393908-ESA.umm_json This is the Sea Ice Thematic Data Product (TDP) V1 resulting from the _$$ESA FDR4ALT project$$ https://www.fdr4alt.org/ and containing the sea ice related geophysical parameters, along with associated uncertainties: snow depth, radar and sea-ice freeboard, sea ice thickness and concentration. The collection covers data for the ERS-1, ERS-2 and Envisat missions, and bases on Level 1 data coming from previous reprocessing (ERS REAPER and the Envisat V3.0) but taking into account the improvements made at Level 0/Level 1 in the frame of FDR4ALT (_$$ALT FDR$$ https://earth.esa.int/eogateway/catalog/fdr-for-altimetry). The Sea Ice TDP provides data from the northern or southern hemisphere in two files corresponding to the Arctic and Antarctic regions respectively for the winter periods only, i.e., October to June for the Arctic, and May to November for the Antarctic. For many aspects, the Sea Ice TDP is very innovative: First time series of sea-ice thickness estimates for ERS Homogeneous calibration, allowing the first Arctic radar freeboard time series from ERS-1 (1991) to CryoSat-2 (2021) Uncertainties estimated along-track with a bottom-up approach based on dominant sources ERS pulse blurring error corrected using literature procedure [Peacock, 2004] The FDR4ALT products are available in NetCDF format. Free standard tools for reading NetCDF data can be used. Information for expert altimetry users is also available in a dedicated NetCDF group within the products. Please consult the _$$FDR4ALT Product User Guide$$ https://earth.esa.int/eogateway/documents/d/earth-online/fdr4alt-products-user-guide before using the data. The FDR4ALT datasets represent the new reference data for the ERS/Envisat altimetry missions, superseding any previous mission data. Users are strongly encouraged to make use of these datasets for optimal results. proprietary
TELLUS_GIA_L3_0.5-DEG_V1.0_1.0 TELLUS GRACE Level-3 0.5-degree Glacial Isostatic Adjustment v1.0 datasets produced by JPL POCLOUD STAC Catalog 1900-01-01 2100-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2689796236-POCLOUD.umm_json Glacial isostatic adjustment (GIA) is an ongoing geophysical process and is measured by gravimetry satellites like GRACE and GRACE-FO. To isolate signals of contemporary surface mass loss in the cumulative satellite gravimetry measurements, contemporary GIA rates are computed and subtracted from the satellite gravimetry observations. The GIA correction models provided here are filtered such that they are compatible with Level-3 post-processing filters applied to GRACE(-FO) data as indicated in the [product_id]. In this way, user can effectively assess the impact of the applied GIA correction, and substitute different GIA models should that be desired. This GIA dataset is mapped into 0.5-degree global grid compatible with the JPL Mascon solution, provided in netCDF format. proprietary
TELLUS_GIA_L3_1-DEG_V1.0_1.0 TELLUS GRACE Level-3 1.0-degree Glacial Isostatic Adjustment v1.0 datasets produced by JPL POCLOUD STAC Catalog 1900-01-01 2100-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2689796219-POCLOUD.umm_json Glacial isostatic adjustment (GIA) is an ongoing geophysical process and is measured by gravimetry satellites like GRACE and GRACE-FO. To isolate signals of contemporary surface mass loss in the cumulative satellite gravimetry measurements, contemporary GIA rates are computed and subtracted from the satellite gravimetry observations. The GIA correction models provided here are filtered such that they are compatible with Level-3 post-processing filters applied to GRACE(-FO) data as indicated in the [product_id]. In this way, user can effectively assess the impact of the applied GIA correction, and substitute different GIA models should that be desired. This GIA dataset is mapped into 1.0-degree global grid in netCDF format. proprietary
TELLUS_GLDAS-NOAH-3.3_TWS-ANOMALY_MONTHLY_3.3 Monthly gridded Global Land Data Assimilation System (GLDAS) from Noah-v3.3 land hydrology model for GRACE and GRACE-FO over nominal months POCLOUD STAC Catalog 2002-04-04 -180, -89.5, 180, 89.5 https://cmr.earthdata.nasa.gov/search/concepts/C2036877565-POCLOUD.umm_json The total land water storage anomalies are aggregated from the Global Land Data Assimilation System (GLDAS) NOAH model. GLDAS outputs land water content by using numerous land surface models and data assimilation. For more information on the GLDAS project and model outputs please visit https://ldas.gsfc.nasa.gov/gldas. The aggregated land water anomalies (sum of soil moisture, snow, canopy water) provided here can be used for comparison against and evaluations of the observations of Gravity Recovery and Climate Experiment (GRACE) and GRACE-FO over land. The monthly anomalies are computed over the same days during each month as GRACE and GRACE-FO data, and are provided on monthly 1 degree lat/lon grids in NetCDF format. proprietary
@@ -14002,12 +14021,12 @@ T_microcosm_results_1 Mineralisation results using 14C octadecane at a range of
Tags_heard_1949_2 Elephant Seal Sightings, Heard Island (1949 to 1960) AU_AADC STAC Catalog 1949-09-05 1960-11-05 73.24, -53.21, 73.9, -52.95 https://cmr.earthdata.nasa.gov/search/concepts/C1214311411-AU_AADC.umm_json At Heard Island, Southern Indian Ocean, seals were branded between 1949-1953. Seal length was measured in feet and inches. Recaptures of seals were made up until 1955, and growth and age-specific survival was calculated. proprietary
Taiga_Tundra_Tree_Cover_1218_1 Tree Canopy Cover for the Circumpolar Taiga-Tundra Ecotone: 2000-2005 ORNL_CLOUD STAC Catalog 2000-01-01 2005-12-31 -180, 50, 180, 70 https://cmr.earthdata.nasa.gov/search/concepts/C2784383956-ORNL_CLOUD.umm_json This data set provides a map of selected areas with defined tree canopy cover over the circumpolar taiga-tundra ecotone (TTE). Canopy cover was derived from the 500-meter MODIS Vegetation Continuous Fields (VCF) product as averaged over six years from 2000-2005 and processed as described in Ranson et al. (2011). This process identified patches of low tree canopy cover which are indicative of the transition from forest to tundra and differentiate the circumpolar taiga-tundra ecotone for the 2000-2005 period. The TTE is the Earth's longest vegetation transition zone and stretches for more than 13,400 km around Arctic North America, Scandinavia, and Eurasia. In Eurasia, the map extends from 60 degrees N to 70 degrees N, and in North America from 50 degrees N to 70 degrees N, excluding Baffin Island in northeastern Canada and the Aleutian Peninsula in southwestern Alaska. Note that for this product, taiga is being used one and the same as boreal forest.This circumpolar TTE area was classified according to VCF tree canopy cover. proprietary
Tampa_Bay_0 Tampa Bay measurements between 2008 and 2012 OB_DAAC STAC Catalog 2008-04-17 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360671-OB_DAAC.umm_json Measurements made in Tampa Bay in Florida between 2008 and 2012. proprietary
-Tansat_NA TANSAT AGCS and CAPI products ESA STAC Catalog 2017-03-01 2020-01-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2619280523-ESA.umm_json "The Atmospheric Carbon-dioxide Grating Spectrometer (ACGS) instrument is pushbroom spectrometer operating in NIR and SWIR bands which allows the measuring of CO2 mole fraction. The available ACGS products have a temporal coverage between March 2017 and January 2020 (not all days included in the time frame): • L1A DS: Sample Dark Calibration sample product • L1A GL: Sample Glint Sample products • L1A LS: Sample Lamp Calibration sample product • L1A ND: Principal-Plane Nadir Sample product • L1A ZS: Sample Z-Axis Solar Calibration Sample • L1B CAL DS: Sample Dark Calibration product • L1B CAL LS: Sample Lamp Calibration product • L1B CAL ZS: Sample Z-Axis Solar Calibration product • L1B SCI GL: Sample Glint Science product • L1B SCI ND: Principal-Plane Nadir Science product The Cloud Aerosol Polarization Imager (CAPI) is a pushbroom radiometer in VIS, NIR and SWIR bands for the observation of aerosols and clouds optical properties. The CAPI products are available in a time range from July 2019 and January 2020 (not all days included in the time frame): • L1A ND: Principal-Plane Nadir product • L1B ND 1000M : Principal-Plane Nadir products at 1000m resolution (1375nm, 1640nm) • L1B ND 250M : Principal-Plane Nadir products at 250m resolution (380nm, 670nm, 870nm) • L1B ND GEOQK: Principal-Plane Nadir georeferenced at 250m resolution • L1B ND GEO1K: Principal-Plane Nadir georeferenced at 1000m resolution • L1B ND OBC: Principal-Plane Nadir on-board calibrator product • L2 ND CLM: Principal-Plane Nadir cloud flag product" proprietary
+Tansat_3.0 TANSAT AGCS and CAPI products ESA STAC Catalog 2017-03-01 2020-01-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2619280523-ESA.umm_json "The Atmospheric Carbon-dioxide Grating Spectrometer (ACGS) instrument is pushbroom spectrometer operating in NIR and SWIR bands which allows the measuring of CO2 mole fraction. The available ACGS products have a temporal coverage between March 2017 and January 2020 (not all days included in the time frame): • L1A DS: Sample Dark Calibration sample product • L1A GL: Sample Glint Sample products • L1A LS: Sample Lamp Calibration sample product • L1A ND: Principal-Plane Nadir Sample product • L1A ZS: Sample Z-Axis Solar Calibration Sample • L1B CAL DS: Sample Dark Calibration product • L1B CAL LS: Sample Lamp Calibration product • L1B CAL ZS: Sample Z-Axis Solar Calibration product • L1B SCI GL: Sample Glint Science product • L1B SCI ND: Principal-Plane Nadir Science product The Cloud Aerosol Polarization Imager (CAPI) is a pushbroom radiometer in VIS, NIR and SWIR bands for the observation of aerosols and clouds optical properties. The CAPI products are available in a time range from July 2019 and January 2020 (not all days included in the time frame): • L1A ND: Principal-Plane Nadir product • L1B ND 1000M : Principal-Plane Nadir products at 1000m resolution (1375nm, 1640nm) • L1B ND 250M : Principal-Plane Nadir products at 250m resolution (380nm, 670nm, 870nm) • L1B ND GEOQK: Principal-Plane Nadir georeferenced at 250m resolution • L1B ND GEO1K: Principal-Plane Nadir georeferenced at 1000m resolution • L1B ND OBC: Principal-Plane Nadir on-board calibrator product • L2 ND CLM: Principal-Plane Nadir cloud flag product" proprietary
Tara_Mediterranean_0 Tara Mediterranean Expedition in 2014 OB_DAAC STAC Catalog 2014-06-26 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360674-OB_DAAC.umm_json Over the past decades, the proliferation of plastics has rapidly become a global problem affecting all oceans. With 80% of plastics in the sea originating from land, this pollution highlights the interactions between our daily lives and the ocean, and reinforces the need for a transition to an economy that is more respectful of the planet. During the Tara Mediterranean expedition in 2014, the schooner crisscrossed the Mare nostrum to study the interaction of plastics with plankton, and biodiversity in general. First edifying observation: of the 2000 samples taken during the expedition from 350 different sites, all contained plastic fragments. proprietary
Tara_Oceans_Polar_Circle_0 Tara Oceans Polar Circle 2013 Expedition OB_DAAC STAC Catalog 2013-05-19 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360676-OB_DAAC.umm_json Tara Oceans Polar Circle 2013 proprietary
Tara_Oceans_expedition_0 Tara Oceans Expedition OB_DAAC STAC Catalog 2009-09-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360675-OB_DAAC.umm_json The Tara Oceans expedition, a 2.5-year long and 57,000 mile long trajectory, was conceived to provide a snapshot of the distribution of planktonic organisms in the world ocean, providing 'A global-scale study of morphological, genetic, and functional biodiversity of plankton organisms in relation to the changing physico-chemical parameters of the oceans' (Karsenti et al., 2011). The expedition took place from September 2009 to March 2012, spanned the majority of the world's oceans, and included, besides a large array of biological sampling, hydrographic measurements, optical measurements of surface hyper-spectral particulate absorption and attenuation, hyper-spectral reflectance and HPLC pigments.E. Karsenti, S.G. Acinas, P. Bork, C. Bowler, C. De Vargas, J. Raes, and 22 co-authors, A holistic approach to marine eco-systems biology, PLoS Biol. 9, e1001177, (2011), doi:10.1371/journal.pbio.1001177. proprietary
-TerraSAR-X_NA TerraSAR-X ESA archive ESA STAC Catalog 2007-07-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2207506474-ESA.umm_json The TerraSAR-X ESA archive collection consists of TerraSAR-X and TanDEM-X products requested by ESA supported projects over their areas of interest around the world. The dataset regularly grows as ESA collects new products over the years. TerraSAR-X/TanDEM-X Image Products can be acquired in 6 image modes with flexible resolutions (from 0.25m to 40m) and scene sizes. Thanks to different polarimetric combinations and processing levels the delivered imagery can be tailored specifically to meet the requirements of the application. The following list delineates the characteristics of the SAR imaging modes that are disseminated under ESA Third Party Missions (TPM). • StripMap (SM): Resolution 3 m, Scene size 30x50 km2 (up to 30x1650 km2) • SpotLight (SL): Resolution 2 m, Scene size 10x10 km2 • Staring SpotLight (ST): Resolution 0.25m, Scene size 4x3.7 km2 • High Resolution SpotLight (HS): Resolution 1 m, Scene size 10x5 km2 • ScanSAR (SC): Resolution 18 m, Scene size 100x150 km2 (up to 100x1650 km2) • Wide ScanSAR (WS): Resolution 40 m, Scene size 270x200 km2 (up to 270x1500 km2) The following list briefly delineates the available processing levels for the TerraSAR-X dataset: • SSC (Single Look Slant Range Complex) in DLR-defined COSAR binary format • MGD (Multi Look Ground Range Detected) in GeoTiff format • GEC (Geocoded Ellipsoid Corrected) in GeoTiff format • EEC (Enhanced Ellipsoid Corrected in GeoTiff format proprietary
-TerraSAR-X_TanDEM-X.full.archive.and.tasking_NA TerraSAR-X/TanDEM-X full archive and tasking ESA STAC Catalog 2007-11-19 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689619-ESA.umm_json TerraSAR-X/TanDEM-X full archive and new tasking products can be acquired in six image modes with flexible resolutions (from 0.25 m to 40 m) and scene sizes and are provided in different packages: Staring SpotLight (basic, Interferometric pack, and Maritime pack) High Resolution SpotLight (basic, Interferometric pack, and Maritime pack) SpotLight (basic, Interferometric pack, and Maritime pack) StripMap (basic, Interferometric pack, and Maritime pack) ScanSAR (basic and Maritime pack) Wide ScanSAR (basic and Maritime pack) Product Overview: >> Product: SAR-ST • Instrument mode: Staring SpotLight • Available resolutions (up to): 0.25 m • Scene size: 4x3.7 km2 >> Product: SAR-HS • Instrument mode: High Resolution SpotLight • Available resolutions (up to): 1 m • Scene size: 10x5 km2 >> Product: SAR-SL • Instrument mode: SpotLight • Available resolutions (up to): 2 m • Scene size: 10x10 km2 >> Product: SAR-SM • Instrument mode: StripMap • Available resolutions (up to): 3 m • Scene size: 30x50 km2 (up to 30x1650) • Basic products (SAR-SM) are intended as the products delivered as a standard scene. The available processing levels are: SSC (Single Look Slant Range Complex) in DLR-defined COSAR binary format, MGD (Multi Look Ground Range Detected) in GeoTiff format, GEC (Geocoded Ellipsoid Corrected) in GeoTiff format, EEC (Enhanced Ellipsoid Corrected) in GeoTiff format. >> Product: SAR-SC • Instrument mode: ScanSAR • Available resolutions (up to): 18 m • Scene size: 100x150 km2 (up to 100x1650) >> Product: SAR-WS • Instrument mode: Wide ScanSAR • Available resolutions (up to): 40 m • Scene size: 270x200 km2 (up to 270x1500) >> Available processing levels: • SSC (Single Look Slant Range Complex): azimuth - slant range (time domain) • MGD (Multi Look Ground Range Detected): azimuth - ground range (without terrain correction) • GEC (Geocoded Ellipsoid Corrected): map geometry with ellipsoidal corrections only (no terrain correction performed) • EEC (Enhanced Ellipsoid Corrected): map geometry with terrain correction, using a DEM >> Format: • SSC: DLR-defined COSAR binary • MGD: GeoTiff • GEC: GeoTiff • EEC: GeoTiff >> Spatial coverage: Worldwide >> Interferometry package: • InSAR-ST, InSAR-HS, InSAR-SL, InSAR-SM • Only SSC • At least five ordered scenes within six months from first order • N/A for SAR-SC and SAR-WS >> Maritime Monitoring package: • MmSAR-ST, MmSAR-HS, MmSAR-SL, MmSAR-SM, MmSAR-SC, MmSAR-WS • Only SSC, MGD, GEC • At least 75% of the scene area is water • More than five ordered scenes in three months The following WorldDEM products can be requested: Product: WorldDEMcore Description: WorldDEMcore is output of interferometric processing of StripMap data pairs without any post-processing Product: WorldDEMTM Description: WorldDEMTM is produced based on WorldDEMcore, representing the surface of the Earth (including buildings, infrastructure and vegetation). Hydrological consistency is ensured Product: WorldDEM DTM Description: In additional editing steps, WorldDEMTMis transformed into a Digital Terrain Model (DTM) representing bare Earth elevation Product: WorldDEM Bundle Description: Includes WorldDEMTM, WorldDEM DTM, and Quality Layers The main specifications of the WorldDEM products are: - Horizontal Coordinate Reference System: World Geodetic System 1984 (WGS84-G1150) - Vertical Coordinate Reference System: Earth Gravitational Model 2008 (EGM2008) - Absolute Horizontal Accuracy: <6 m - Vertical Accuracy: 2 m Relative, 4 m Absolute - Quality Layers (including water body mask) can be requested as an option with the WorldDEM and WorldDEM DTM - Auxiliary Layers are delivered together with the WorldDEMcore product The products are available as part of the Airbus provision from TerraSAR-X and Tandem-X missions with worldwide coverage: the TerraSAR-X/TanDEM-X Catalogue (https://terrasar-x-archive.terrasar.com/) can be accessed to discover and check the basic product data readiness; using the WorldDEM database viewers (https://worlddem-database.terrasar.com/ ). All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability (https://earth.esa.int/eogateway/documents/20142/37627/TSX-TDX-Terms-Of-Applicability.pdf/265d10ac-6900-45de-8d31-ccfe3dd8d6e6) available in Resources section. proprietary
+TerraSAR-X_8.0 TerraSAR-X ESA archive ESA STAC Catalog 2007-07-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2207506474-ESA.umm_json The TerraSAR-X ESA archive collection consists of TerraSAR-X and TanDEM-X products requested by ESA supported projects over their areas of interest around the world. The dataset regularly grows as ESA collects new products over the years. TerraSAR-X/TanDEM-X Image Products can be acquired in 6 image modes with flexible resolutions (from 0.25m to 40m) and scene sizes. Thanks to different polarimetric combinations and processing levels the delivered imagery can be tailored specifically to meet the requirements of the application. The following list delineates the characteristics of the SAR imaging modes that are disseminated under ESA Third Party Missions (TPM). • StripMap (SM): Resolution 3 m, Scene size 30x50 km2 (up to 30x1650 km2) • SpotLight (SL): Resolution 2 m, Scene size 10x10 km2 • Staring SpotLight (ST): Resolution 0.25m, Scene size 4x3.7 km2 • High Resolution SpotLight (HS): Resolution 1 m, Scene size 10x5 km2 • ScanSAR (SC): Resolution 18 m, Scene size 100x150 km2 (up to 100x1650 km2) • Wide ScanSAR (WS): Resolution 40 m, Scene size 270x200 km2 (up to 270x1500 km2) The following list briefly delineates the available processing levels for the TerraSAR-X dataset: • SSC (Single Look Slant Range Complex) in DLR-defined COSAR binary format • MGD (Multi Look Ground Range Detected) in GeoTiff format • GEC (Geocoded Ellipsoid Corrected) in GeoTiff format • EEC (Enhanced Ellipsoid Corrected in GeoTiff format proprietary
+TerraSAR-X_TanDEM-X.full.archive.and.tasking_7.0 TerraSAR-X/TanDEM-X full archive and tasking ESA STAC Catalog 2007-11-19 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689619-ESA.umm_json TerraSAR-X/TanDEM-X full archive and new tasking products can be acquired in six image modes with flexible resolutions (from 0.25 m to 40 m) and scene sizes and are provided in different packages: Staring SpotLight (basic, Interferometric pack, and Maritime pack) High Resolution SpotLight (basic, Interferometric pack, and Maritime pack) SpotLight (basic, Interferometric pack, and Maritime pack) StripMap (basic, Interferometric pack, and Maritime pack) ScanSAR (basic and Maritime pack) Wide ScanSAR (basic and Maritime pack) Product Overview: >> Product: SAR-ST • Instrument mode: Staring SpotLight • Available resolutions (up to): 0.25 m • Scene size: 4x3.7 km2 >> Product: SAR-HS • Instrument mode: High Resolution SpotLight • Available resolutions (up to): 1 m • Scene size: 10x5 km2 >> Product: SAR-SL • Instrument mode: SpotLight • Available resolutions (up to): 2 m • Scene size: 10x10 km2 >> Product: SAR-SM • Instrument mode: StripMap • Available resolutions (up to): 3 m • Scene size: 30x50 km2 (up to 30x1650) • Basic products (SAR-SM) are intended as the products delivered as a standard scene. The available processing levels are: SSC (Single Look Slant Range Complex) in DLR-defined COSAR binary format, MGD (Multi Look Ground Range Detected) in GeoTiff format, GEC (Geocoded Ellipsoid Corrected) in GeoTiff format, EEC (Enhanced Ellipsoid Corrected) in GeoTiff format. >> Product: SAR-SC • Instrument mode: ScanSAR • Available resolutions (up to): 18 m • Scene size: 100x150 km2 (up to 100x1650) >> Product: SAR-WS • Instrument mode: Wide ScanSAR • Available resolutions (up to): 40 m • Scene size: 270x200 km2 (up to 270x1500) >> Available processing levels: • SSC (Single Look Slant Range Complex): azimuth - slant range (time domain) • MGD (Multi Look Ground Range Detected): azimuth - ground range (without terrain correction) • GEC (Geocoded Ellipsoid Corrected): map geometry with ellipsoidal corrections only (no terrain correction performed) • EEC (Enhanced Ellipsoid Corrected): map geometry with terrain correction, using a DEM >> Format: • SSC: DLR-defined COSAR binary • MGD: GeoTiff • GEC: GeoTiff • EEC: GeoTiff >> Spatial coverage: Worldwide >> Interferometry package: • InSAR-ST, InSAR-HS, InSAR-SL, InSAR-SM • Only SSC • At least five ordered scenes within six months from first order • N/A for SAR-SC and SAR-WS >> Maritime Monitoring package: • MmSAR-ST, MmSAR-HS, MmSAR-SL, MmSAR-SM, MmSAR-SC, MmSAR-WS • Only SSC, MGD, GEC • At least 75% of the scene area is water • More than five ordered scenes in three months The following WorldDEM products can be requested: Product: WorldDEMcore Description: WorldDEMcore is output of interferometric processing of StripMap data pairs without any post-processing Product: WorldDEMTM Description: WorldDEMTM is produced based on WorldDEMcore, representing the surface of the Earth (including buildings, infrastructure and vegetation). Hydrological consistency is ensured Product: WorldDEM DTM Description: In additional editing steps, WorldDEMTMis transformed into a Digital Terrain Model (DTM) representing bare Earth elevation Product: WorldDEM Bundle Description: Includes WorldDEMTM, WorldDEM DTM, and Quality Layers The main specifications of the WorldDEM products are: - Horizontal Coordinate Reference System: World Geodetic System 1984 (WGS84-G1150) - Vertical Coordinate Reference System: Earth Gravitational Model 2008 (EGM2008) - Absolute Horizontal Accuracy: <6 m - Vertical Accuracy: 2 m Relative, 4 m Absolute - Quality Layers (including water body mask) can be requested as an option with the WorldDEM and WorldDEM DTM - Auxiliary Layers are delivered together with the WorldDEMcore product The products are available as part of the Airbus provision from TerraSAR-X and Tandem-X missions with worldwide coverage: the TerraSAR-X/TanDEM-X Catalogue (https://terrasar-x-archive.terrasar.com/) can be accessed to discover and check the basic product data readiness; using the WorldDEM database viewers (https://worlddem-database.terrasar.com/ ). All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability (https://earth.esa.int/eogateway/documents/20142/37627/TSX-TDX-Terms-Of-Applicability.pdf/265d10ac-6900-45de-8d31-ccfe3dd8d6e6) available in Resources section. proprietary
Thermokarst_Circumpolar_Map_1332_1 Arctic Circumpolar Distribution and Soil Carbon of Thermokarst Landscapes, 2015 ORNL_CLOUD STAC Catalog 2015-01-01 2015-12-31 -180, 45.54, 180, 83.62 https://cmr.earthdata.nasa.gov/search/concepts/C2216864090-ORNL_CLOUD.umm_json This data set provides the distribution of thermokarst landscapes in the boreal and tundra ecoregions within the northern circumpolar permafrost zones. This dataset provides an areal estimate of wetland, lake, and hillslope thermokarst landscapes as of 2015. Estimates of soil organic carbon (SOC) content associated with thermokarst and non-thermokarst landscapes were based on available circumpolar 0 to 3 meter SOC storage data. proprietary
ThreeRivers_0 Watershed sampling of the Kennebec, Androscoggin, St. John Rivers, Maine, and New Brunswick, Canada OB_DAAC STAC Catalog 2010-08-09 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360683-OB_DAAC.umm_json The NASA_3Rivers_NNX11AF22G cruise consisted of watershed sampling of the Kennebec, Androscoggin, St. John Rivers in Maine, USA and New Brunswick, Canada. Water samples were collected from a nominal depth of 0.5 m and then processed as described by the accompanying documentation. Each station was visited monthly from early spring, as soon as accessible, to late fall, November. Stations were accessed by land and samples were collected by foot in the deepest water available, usually 1 to 1.5 meters in depth. proprietary
Tidal_Marsh_Biomass_US_V1-1_1879_1.1 Aboveground Biomass High-Resolution Maps for Selected US Tidal Marshes, 2015 ORNL_CLOUD STAC Catalog 2015-08-01 2015-09-01 -122.73, 25.09, -69.93, 47.12 https://cmr.earthdata.nasa.gov/search/concepts/C2345876612-ORNL_CLOUD.umm_json This dataset provides maps of aboveground tidal marsh biomass (g/m2) at 30 m resolution for six estuarine regions of the conterminous United States: Cape Cod, MA; Chesapeake Bay, MD, Everglades, FL; Mississippi Delta, LA; San Francisco Bay, CA; and Puget Sound, WA. Estuarine and palustrine emergent tidal marsh areas were based on a 2010 NOAA Coastal Change Analysis Program (C-CAP) map. Aboveground biomass maps were generated from a random forest model driven by Landsat vegetation indices and a national scale dataset of field-measured aboveground biomass. The final model, driven by six Landsat vegetation indices, with the soil adjusted vegetation index as the most important, successfully predicted biomass for a range of marsh plant functional types defined by height, leaf angle, and growth form. Biomass can be converted to carbon stocks using a mean plant carbon content of 44.1%. proprietary
@@ -14023,7 +14042,7 @@ TopSoil_Erosion_MidWest_US_1774_1 Remote Sensing Derived Topsoil and Agricultura
TowerBased_PhotoSpec_SIF_SK_CA_1887_1 Tower-based PhotoSpec Products for the 2019 and 2020 Spring Transition Season, SK, CA ORNL_CLOUD STAC Catalog 2019-03-20 2020-06-26 -105.12, 53.97, -105.11, 53.98 https://cmr.earthdata.nasa.gov/search/concepts/C2192619509-ORNL_CLOUD.umm_json This dataset includes daily averaged solar-induced chlorophyll fluorescence (SIF) in the red (680-686 nm) and far-red (745-758 nm) wavelength ranges, relative SIF (SIF/Intensity), chlorophyll-carotenoid index (CCI), photochemical reflectance index (PRI), near-infrared vegetation index (NIRv), and normalized difference vegetation index (NDVI) for both black spruce (Picea mariana) and larch (Larix laricina) targets. The study site (Southern Old Black Spruce, SOBS Fluxnet ID CA-Obs) is located near the southern limit of the boreal forest ecotone in Saskatchewan, Canada. Data were collected for the spring transition in both 2019 and 2020 using PhotoSpec. Species-specific averages were calculated over each 30-minute period, then averaged again to report daily averages of SIF relative and reflectance measurements for both black spruce and larch. proprietary
Tree_Canopy_Cover_Mexico_2137_1 Tree Cover Estimates at 30 m Resolution for Mexico, 2016-2018 ORNL_CLOUD STAC Catalog 2016-01-01 2018-12-31 -118.4, 14.53, -86.7, 32.72 https://cmr.earthdata.nasa.gov/search/concepts/C2612824717-ORNL_CLOUD.umm_json The data set provides multi-year (2016-2018) percent tree cover (TC) estimates for entire Mexico at 30 m spatial resolution. The TC data (hereafter, NEX-TC) was derived from the 30 m Landsat Collection 1 product and a hierarchical deep learning approach (U-Net) developed in a previous CMS effort for the conterminous United States (CONUS) (Park et al., 2022). The hierarchical U-Net framework first developed a U-Net model for very high-resolution aerial images (NAIP) using training labels derived from previous work based on an interactive image segmentation tool and iterative updates with expert knowledge (Basu et al., 2015). The developed NAIP U-Net model and NAIP data produced 1-m NAIP TC across all lower 48 CONUS states. A Landsat U-Net model was developed for multi-year and large-scale TC mapping based on the very high-resolution NAIP TC made in the earlier stage. The Landsat U-Net model developed was adopted over the CONUS for testing its transferability, validation, and improvement across Mexico. This dataset provides national-scale percent tree cover estimates over Mexico and can be helpful for studies of carbon cycling, land cover and land use change, etc. The team has been working on improving temporal stability of the product and will update the product once the next version is ready to be shared. proprietary
Tree_Mortality_Western_US_1512_1.1 Tree Mortality from Fires and Bark Beetles at 1-km Resolution, Western USA, 2003-2012 ORNL_CLOUD STAC Catalog 2003-01-01 2012-12-31 -130.43, 28.47, -100.54, 52.09 https://cmr.earthdata.nasa.gov/search/concepts/C2767487834-ORNL_CLOUD.umm_json This dataset provides annual estimates of tree mortality due to fires and bark beetles from 2003 to 2012 on forestland in the continental western United States. Tree mortality was estimated at 1-km spatial resolution by combining tree aboveground carbon (AGC) and disturbance datasets derived largely from remote sensing. Tree mortality is expressed as the amount of AGC stored in trees killed by disturbance (Mg carbon per km2). The dataset also includes annual uncertainty maps that were generated using a Monte Carlo approach in which tree biomass, biomass carbon content, and disturbance severity were iteratively varied by their uncertainty. proprietary
-TropForest_NA TropForest- ALOS, GEOSAT-1 & KOMPSAT-2 optical coverages over tropical forests ESA STAC Catalog 2009-01-27 2011-08-09 -100, -50, 160, 40 https://cmr.earthdata.nasa.gov/search/concepts/C1532648157-ESA.umm_json The objective of the ESA TropForest project was to create a harmonised geo-database of ready-to-use satellite imagery to support 2010 global forest assessment performed by the Joint Research Centre (JRC) of the European Commission and by the Food and Agriculture Organization (FAO). Assessments for year 2010 were essential for building realistic deforestation benchmark rates at global to regional levels. To reach this objective, the project aimed to create a harmonised ortho-rectified/pre-processed imagery geo-database based on satellite data acquisitions (ALOS AVNIR-2, GEOSAT-1 SLIM6, KOMPSAT-2 MSC) performed during year 2009 and 2010, for the Tropical Latin America (excluding Mexico) and for the Tropical South and Southeast Asia (excluding China), resulting in 1971 sites located at 1 deg x 1 deg geographical lat/long intersections. The project finally delivered 1866 sites (94.7% of target) due to cloud coverages too high for missing sites proprietary
+TropForest_6.0 TropForest- ALOS, GEOSAT-1 & KOMPSAT-2 optical coverages over tropical forests ESA STAC Catalog 2009-01-27 2011-08-09 -100, -50, 160, 40 https://cmr.earthdata.nasa.gov/search/concepts/C1532648157-ESA.umm_json The objective of the ESA TropForest project was to create a harmonised geo-database of ready-to-use satellite imagery to support 2010 global forest assessment performed by the Joint Research Centre (JRC) of the European Commission and by the Food and Agriculture Organization (FAO). Assessments for year 2010 were essential for building realistic deforestation benchmark rates at global to regional levels. To reach this objective, the project aimed to create a harmonised ortho-rectified/pre-processed imagery geo-database based on satellite data acquisitions (ALOS AVNIR-2, GEOSAT-1 SLIM6, KOMPSAT-2 MSC) performed during year 2009 and 2010, for the Tropical Latin America (excluding Mexico) and for the Tropical South and Southeast Asia (excluding China), resulting in 1971 sites located at 1 deg x 1 deg geographical lat/long intersections. The project finally delivered 1866 sites (94.7% of target) due to cloud coverages too high for missing sites proprietary
Tropical Cyclone Wind Estimation Competition_1 Tropical Cyclone Wind Estimation Competition MLHUB STAC Catalog 2020-01-01 2023-01-01 -179.999, -4.5, 179.999, 70.55 https://cmr.earthdata.nasa.gov/search/concepts/C2781412109-MLHUB.umm_json A collection of tropical storms in the Atlantic and East Pacific Oceans from 2000 to 2019 with corresponding maximum sustained surface wind speed. This dataset is split into training and test categories for the purpose of a competition [Read more about the [competition](https://www.drivendata.org/competitions/72/predict-wind-speeds/)]. proprietary
TundraTransect_VegRefl_Soil_2232_1 Spectral Reflectance and Ancillary Data, Tundra Transect, North Slope, AK, 2000-2022 ORNL_CLOUD STAC Catalog 2000-06-30 2022-08-08 -156.6, 71.32, -156.6, 71.32 https://cmr.earthdata.nasa.gov/search/concepts/C2840820936-ORNL_CLOUD.umm_json This dataset provides visible-near infrared spectral reflectance, descriptions of vegetation cover, surface temperature, the total fraction of absorbed photosynthetically active radiation (fAPAR, 2001 only), permafrost active layer depth, elevation, and soil temperature at 5 cm depth. Measurements were made at every meter along a 100-m transect aligned mainly in an east-west direction, located approximately 300 m southeast of the National Oceanic and Atmospheric Administration (NOAA) Global Monitoring Laboratory (GML) baseline observatory near Utqiagvik, Alaska. Reflectance measurements were collected at nearly weekly intervals through the growing seasons of 2000 to 2002 to describe characteristics of green-up, peak growth, and senescence. Reflectance measurements were also collected once near peak growth in 2022. Ancillary measurements were collected at intervals through the 2001 and 2002 growing seasons. proprietary
TundraVeg_Reflectance_Soil_CO2_1960_1 Tundra Plant Reflectance, CO2 Exchange, PAM Fluorometry, and Pigments, AK, 2001-2002 ORNL_CLOUD STAC Catalog 2001-06-08 2002-08-16 -157.41, 70.45, -156.6, 71.32 https://cmr.earthdata.nasa.gov/search/concepts/C2262495116-ORNL_CLOUD.umm_json This dataset provides measurements at tundra plots collected near Utqiagvik and Atqasuk, AK, including visible-near infrared spectral reflectance, chamber gas exchange measurements of CO2, pulse amplitude modulated (PAM) fluorometry, chlorophyll pigment contents, along with surface temperature, permafrost active layer depth, and soil temperature at 5 cm, through the growing seasons of 2001 and 2002. At all plots, spectral reflectance was measured using a portable spectrometer configured with a straight fiber optic foreoptic, surface temperatures were measured using a handheld Everest Infrared Thermometer, and thaw depth (or active layer depth) was measured using a metal rod graduated in centimeter intervals. At small plots (~15 cm) at Utqiagvik (referred to as Patch plots) chambers were constructed that enclosed an individual patch to determine photosynthetic rate and estimate respiration rate (made by covering the chamber in a dark cloth). Efficiency using PAM fluorometer, ambient yield estimations, and rapid light curve measurements were taken. Chlorophyll concentration was measured with a portable spectrometer configured as a spectrophotometer. At larger plots (approximately 1 m2) which were part of the International Tundra EXperiment (ITEX plots) at Utqiagvik (referred to as Barrow) and Atqasuk, a sub-sample of five control and five warmed plots at each site were fitted with 0.45 m diameter polyvinyl chloride collars for chamber flux measurements. To determine the total fraction of absorbed photosynthetically active radiation (fAPAR), a series of photosynthetically active radiation (PAR) measurements were made using a custom-made light bar consisting of a linear array of GaAsP sensors mounted within an aluminum U-bar under a white plastic diffuser. In addition, a visual estimate was made of the fraction of standing dead vegetation based on percent cover. The data are provided in comma-separated values (*.csv) format. In addition, photographs of plots and instruments are provided. proprietary
@@ -15301,7 +15320,7 @@ VNP21_001 VIIRS/NPP Land Surface Temperature and Emissivity 6-Min L2 Swath 750m
VNP21_002 VIIRS/NPP Land Surface Temperature and Emissivity 6-Min L2 Swath 750m V002 LPCLOUD STAC Catalog 2012-01-17 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2545314550-LPCLOUD.umm_json The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature and Emissivity (LST&E) Version 2 swath product (VNP21) is produced daily in 6-minute temporal increments of satellite acquisition. The VNP21 product uses a physics-based algorithm to dynamically retrieve both the LST and emissivity simultaneously for VIIRS thermal infrared bands M14 (8.55 µm), M15 (10.76 µm), and M16 (12 µm) at a spatial resolution of 750 meters. The VNP21 product is developed synergistically with the Moderate Resolution Imaging Spectroradiometer (MODIS) LST&E Version 6.1 product (MOD21) (https://doi.org/10.5067/MODIS/MOD21.061) using the same input atmospheric products and algorithmic approach based on the ASTER Temperature Emissivity Separation (TES) technique. The TES algorithm is combined with an improved Water Vapor Scaling (WVS) atmospheric correction scheme to stabilize the retrieval during very warm and humid conditions. The overall objective for NASA VIIRS products is to ensure the algorithms and products are compatible with the MODIS Terra and Aqua algorithms to promote the continuity of the Earth Observation System (EOS) mission. VIIRS LST&E products are available two months after acquisition due to latency of data inputs. Additional details regarding the method used to create this Level 2 (L2) product are available in the Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/1332/VNP21_ATBD_V1.pdf). Provided in the VNP21 product are layers for LST, quality control, emissivity for bands M14, M15, and M16, LST&E errors, view angle, ASTER Global Emissivity Dataset (GED), Precipitable Water Vapor (PWV), ocean-land mask, latitude, and longitude. A low-resolution browse image for LST is also available for each VNP21 granule. proprietary
VNP21_NRT_2 VIIRS/NPP Land Surface Temperature and Emissivity 6-Min L2 Swath 750 m LANCEMODIS STAC Catalog 2023-10-10 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2780626371-LANCEMODIS.umm_json The Near Real Time (NRT) VIIRSLand Surface Temperature and Emissivity 6-Min L2 Swath 750m product (VNP21_NRT) uses a physics-based algorithm to dynamically retrieve both the LST and emissivity simultaneously for the three VIIRS thermal infrared bands M14 (8.55 micrometer), M15 (10.76 micrometer), and M16 (12 micrometer) at a spatial resolution of 750 m at nadir. The VNP21 algorithm is based on the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Temperature Emissivity Separation (TES) algorithm. This algorithm uses full radiative transfer simulations for the atmospheric correction, and an emissivity model based on the variability in the surface radiance data to dynamically retrieve both LST and spectral emissivity at native pixel resolution. Additional details regarding the methodology are available in the Algorithm Theoretical Basis Document (ATBD) at: https://viirsland.gsfc.nasa.gov/PDF/VNP21_LSTE_ATBD_v2.1.pdf and user guide at: https://viirsland.gsfc.nasa.gov/PDF/VNP21_LSTE_user_guide.pdf proprietary
VNP22C2_001 VIIRS/NPP Land Cover Dynamics Yearly L3 Global 0.05 Deg CMG V001 LPDAAC_ECS STAC Catalog 2013-01-01 2022-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1712040022-LPDAAC_ECS.umm_json The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Land Cover Dynamics data product provides global land surface phenology (GLSP) metrics at yearly intervals. The VNP22C2 data product is derived from time series of the two-band Enhanced Vegetation Index-2 (EVI2) calculated from VIIRS Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR). Vegetation phenology metrics at 0.05 degree (~5,600 meters) spatial resolution are identified for up to two detected growing cycles per year. Provided in each VNP22C2 product are 19 Science Dataset (SDS) layers. The product contains six phenological transition dates: onset of greenness increase, onset of greenness maximum, onset of greenness decrease, onset of greenness minimum, dates of mid-greenup, and senescence phases. The product also includes the growing season length. The greenness related metrics consist of EVI2 onset of greenness increase, EVI2 onset of greenness maximum, EVI2 growing season, rate of greenness increase and rate of greenness decrease. The confidence of phenology detection is provided as greenness agreement growing season, proportion of good quality (PGQ) growing season, PGQ onset greenness increase, PGQ onset greenness maximum, PGQ onset greenness decrease, and PGQ onset greenness minimum. The final layer is quality control specifying the overall quality of the product. A low-resolution browse image showing greenup is also available when viewing each VNP22C2 granule. proprietary
-VNP22C2_002 VIIRS/NPP Land Surface Phenology Yearly L3 Global 0.05 Deg CMG V002 LPCLOUD STAC Catalog 2013-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2847915522-LPCLOUD.umm_json The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Land Cover Dynamics data product provides global land surface phenology (GLSP) metrics at yearly intervals. The VNP22C2 data product is derived from time series of the two-band Enhanced Vegetation Index-2 (EVI2) calculated from VIIRS Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR). Vegetation phenology metrics at 0.05 degree (~5,600 meters) spatial resolution are identified for up to two detected growing cycles per year. Provided in each VNP22C2 product are 19 Science Dataset (SDS) layers. The product contains six phenological transition dates: onset of greenness increase, onset of greenness maximum, onset of greenness decrease, onset of greenness minimum, dates of mid-greenup, and senescence phases. The product also includes the growing season length. The greenness related metrics consist of EVI2 onset of greenness increase, EVI2 onset of greenness maximum, EVI2 growing season, rate of greenness increase and rate of greenness decrease. The confidence of phenology detection is provided as greenness agreement growing season, proportion of good quality (PGQ) growing season, PGQ onset greenness increase, PGQ onset greenness maximum, PGQ onset greenness decrease, and PGQ onset greenness minimum. The final layer is quality control specifying the overall quality of the product. A low-resolution browse image showing greenup is also available when viewing each VNP22C2 granule. proprietary
+VNP22C2_002 VIIRS/NPP Land Surface Phenology Yearly L3 Global 0.05Deg CMG V002 LPCLOUD STAC Catalog 2013-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2847915522-LPCLOUD.umm_json The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Land Cover Dynamics data product provides global land surface phenology (GLSP) metrics at yearly intervals. The VNP22C2 data product is derived from time series of the two-band Enhanced Vegetation Index-2 (EVI2) calculated from VIIRS Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR). Vegetation phenology metrics at 0.05 degree (~5,600 meters) spatial resolution are identified for up to two detected growing cycles per year. Provided in each VNP22C2 product are 19 Science Dataset (SDS) layers. The product contains six phenological transition dates: onset of greenness increase, onset of greenness maximum, onset of greenness decrease, onset of greenness minimum, dates of mid-greenup, and senescence phases. The product also includes the growing season length. The greenness related metrics consist of EVI2 onset of greenness increase, EVI2 onset of greenness maximum, EVI2 growing season, rate of greenness increase and rate of greenness decrease. The confidence of phenology detection is provided as greenness agreement growing season, proportion of good quality (PGQ) growing season, PGQ onset greenness increase, PGQ onset greenness maximum, PGQ onset greenness decrease, and PGQ onset greenness minimum. The final layer is quality control specifying the overall quality of the product. A low-resolution browse image showing greenup is also available when viewing each VNP22C2 granule. proprietary
VNP22Q2_001 VIIRS/NPP Land Cover Dynamics Yearly L3 Global 500m SIN Grid V001 LPDAAC_ECS STAC Catalog 2013-01-01 2022-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1711966127-LPDAAC_ECS.umm_json The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Land Cover Dynamics data product provides global land surface phenology (GLSP) metrics at yearly intervals. The VNP22Q2 data product is derived from time series of the two-band Enhanced Vegetation Index-2 (EVI2) calculated from VIIRS Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR). Vegetation phenology metrics at 500 meter spatial resolution are identified for up to two detected growing cycles per year. Provided in each VNP22Q2 product are 19 Science Dataset (SDS) layers. The product contains six phenological transition dates: onset of greenness increase, onset of greenness maximum, onset of greenness decrease, onset of greenness minimum, dates of mid-greenup, and senescence phases. The product also includes the growing season length. The greenness related metrics consist of EVI2 onset of greenness increase, EVI2 onset of greenness maximum, EVI2 growing season, rate of greenness increase and rate of greenness decrease. The confidence of phenology detection is provided as greenness agreement growing season, proportion of good quality (PGQ) growing season, PGQ onset greenness increase, PGQ onset greenness maximum, PGQ onset greenness decrease, and PGQ onset greenness minimum. The final layer is quality control specifying the overall quality of the product. A low-resolution browse image showing greenup is also available when viewing each VNP22Q2 granule. proprietary
VNP22Q2_002 VIIRS/NPP Land Surface Phenology Yearly L3 Global 500m SIN Grid V002 LPCLOUD STAC Catalog 2013-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2847915918-LPCLOUD.umm_json The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Land Cover Dynamics data product provides global land surface phenology (GLSP) metrics at yearly intervals. The VNP22Q2 data product is derived from time series of the two-band Enhanced Vegetation Index-2 (EVI2) calculated from VIIRS Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR). Vegetation phenology metrics at 500 meter spatial resolution are identified for up to two detected growing cycles per year. Provided in each VNP22Q2 product are 19 Science Dataset (SDS) layers. The product contains six phenological transition dates: onset of greenness increase, onset of greenness maximum, onset of greenness decrease, onset of greenness minimum, dates of mid-greenup, and senescence phases. The product also includes the growing season length. The greenness related metrics consist of EVI2 onset of greenness increase, EVI2 onset of greenness maximum, EVI2 growing season, rate of greenness increase and rate of greenness decrease. The confidence of phenology detection is provided as greenness agreement growing season, proportion of good quality (PGQ) growing season, PGQ onset greenness increase, PGQ onset greenness maximum, PGQ onset greenness decrease, and PGQ onset greenness minimum. The final layer is quality control specifying the overall quality of the product. A low-resolution browse image showing greenup is also available when viewing each VNP22Q2 granule. proprietary
VNP28C2_002 VIIRS/NPP Water Reservoir Area 8-day L3 Global V002 LPCLOUD STAC Catalog 2012-01-17 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2696214154-LPCLOUD.umm_json The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Water Reservoir 8-day Level 3 (L3) Global (VNP28C2) Version 2 product provides current data for 151 man-made reservoirs and 13 regulated natural lakes for a total of 164 reservoirs. The VNP28C2 data product provides an 8-day time series of surface area, elevation, and water storage. Datasets are combined with pre-established Area-Elevation (A-E) curves and image classifications of near-infrared (NIR) reflectance from the surface reflectance product acquired by the VIIRS satellite (VNP09H1). The VNP28C2 data product consists of a single layer with information about the reservoir identifier, dam location (longitude and latitude), reservoir surface area, elevation, and water storage capacity. proprietary
@@ -15447,7 +15466,7 @@ VNP64A1_001 VIIRS/NPP Burned Area Monthly L4 Global 500m SIN Grid V001 LPDAAC_EC
VNP64A1_002 VIIRS/NPP Burned Area Monthly L4 Global 500m SIN Grid V002 LPCLOUD STAC Catalog 2012-03-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2847928673-LPCLOUD.umm_json The daily NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Burned Area (VNP64A1) Version 2 data product is a monthly, global gridded 500-meter (m) product containing per-pixel burned area and quality information. The VNP64 burned area mapping approach employs 750 m VIIRS imagery coupled with 750 m VIIRS active fire observations. The hybrid algorithm applies dynamic thresholds to composite imagery generated from a burn-sensitive Vegetation Index (VI) derived from VIIRS shortwave infrared channels M8 and M11, and a measure of temporal texture. VIIRS bands that are both sensitive and insensitive to biomass burning are used to detect changes caused by fire and to differentiate them from other types of change. The mapping algorithm ultimately identifies the date of burn, to the nearest day, for 500 m grid cells within the individual sinusoidal tile being processed. The date is encoded in a single data layer of the output product as the ordinal day of the calendar year on which the burn occurred (range 1–366), with a value of 0 for unburned land pixels and additional values reserved for missing data and water grid cells. The VNP64A1 data product is designed after the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua combined burned area product to promote the continuity of the Earth Observation System (EOS) mission. The data layers provided in the VNP64A1 product include Burn Date, Burn Date Uncertainty, and Quality Assurance (QA), along with First Day and Last Day of reliable change detection of the year. A low resolution browse is also provided showing the burned date layer with a color map applied in JPEG format. proprietary
VOLPE_0 Chlorophyll-a measurements off the San Diego coast in 1999 OB_DAAC STAC Catalog 1999-09-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360696-OB_DAAC.umm_json Measurements made off the San Diego, Californian coast in 1999. proprietary
VPRM_North_America_Parameters_1349_1 NACP VPRM NEE Parameters Optimized to North American Flux Tower Sites, 2000-2006 ORNL_CLOUD STAC Catalog 2000-01-01 2007-12-31 -156.63, 28.46, -68.74, 71.32 https://cmr.earthdata.nasa.gov/search/concepts/C2517710454-ORNL_CLOUD.umm_json This data set provides Vegetation Photosynthesis Respiration Model (VPRM) net ecosystem exchange (NEE) parameter values optimized to 65 flux tower sites across North America. The parameters include the basal rate of ecosystem respiration (beta), the slope of respiration with respect to temperature (alpha), light-use efficiency (LUE) (lambda), and LUE curve half-saturation (PAR_0). Observed eddy covariance data from the 65 tower sites, locally observed temperature and photosynthetically active radiation (PAR) along with satellite-derived phenology and moisture were used as input data to optimize the VPRM parameters for the 65 sites. The data are provided by individual site, plant functional types (PFTs), and all sites together, and as monthly, annual, and all available data. The data are for the conterminous USA, Alaska, and Canada for the period 2000 to 2006. proprietary
-VT_GOCE_Data_NA VT GOCE Data ESA STAC Catalog 2009-09-01 2012-07-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336957-ESA.umm_json This collection contains the VT GOCE software and associated data set needed to run the software that is used for GOCE data visualisation. proprietary
+VT_GOCE_Data_5.0 VT GOCE Data ESA STAC Catalog 2009-09-01 2012-07-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336957-ESA.umm_json This collection contains the VT GOCE software and associated data set needed to run the software that is used for GOCE data visualisation. proprietary
Veg_Soil_Tundra_Burned_Area_2119_1 ABoVE: Post-Fire and Unburned Field Site Data, Anaktuvuk River Fire Area, 2008-2017 ORNL_CLOUD STAC Catalog 2008-07-03 2017-07-23 -151.18, 69.02, -150.03, 69.36 https://cmr.earthdata.nasa.gov/search/concepts/C2612823595-ORNL_CLOUD.umm_json This dataset includes field measurements from 26 burned and unburned transects established in 2008 in the region of the Anaktuvuk River tundra fire on the Arctic Slope of Alaska, US. Measurements include plant cover by species, shrub and tussock density, thaw depth, and soil depth. This wildfire occurred in 2007, and sampling took place in 2008-2011 and in 2017. proprietary
Vegetation_Maps_Toolik_Lake_1690_1 High-Resolution Vegetation Community Maps, Toolik Lake Area, Alaska, 2013-2015 ORNL_CLOUD STAC Catalog 2013-08-01 2015-08-31 -149.66, 68.6, -149.29, 68.65 https://cmr.earthdata.nasa.gov/search/concepts/C2143403456-ORNL_CLOUD.umm_json This dataset contains vegetation community maps at 20 cm resolution for three landscapes near the Toolik Lake research area in the northern foothills of the Brooks Range, Alaska, USA. The maps were built using a Random Forest modeling approach using predictor layers derived from airborne lidar data and high-resolution digital airborne imagery collected in 2013, and vegetation community training data collected from 800 reference field plots across the lidar footprints in 2014 and 2015. Vegetation community descriptions were based on the commonly used classifications of existing Toolik area vegetation maps. proprietary
Vegetation_Photos_Toolik_Lake_1718_1 Ground-Based Vegetation Community Photos, Toolik Lake Area, Alaska, 2014-2015 ORNL_CLOUD STAC Catalog 2014-06-17 2015-07-31 -149.66, 68.6, -149.29, 68.65 https://cmr.earthdata.nasa.gov/search/concepts/C2143402747-ORNL_CLOUD.umm_json This dataset contains 731 ground-based nadir vegetation community and ground surface photographs of selected field plots taken as ground reference data for vegetation classification studies at three areas near Toolik Lake, Alaska during the summers of 2014 and 2015. The largest area, 'Toolik', (approximately 6 km2) covers research areas near Toolik Field Station at Toolik Lake, including Arctic LTER installations. The other two areas are each roughly 3 km2: the 'Pipeline' area: a stretch of the Trans-Alaska Pipeline, and the 'Imnavait' area: along Imnavait Creek roughly 10 km east of Toolik Lake. proprietary
@@ -15456,7 +15475,7 @@ Vermont_HighRes_LandCover_2072_1 CMS: Tree Canopy Cover at 0.5-meter resolution,
Vertebrate_Biology_MI_1990_1 Annual report on vertebrate biology at Macquarie Island, 1990 AU_AADC STAC Catalog 1990-01-01 1990-12-31 158.69751, -54.78802, 158.99652, -54.48057 https://cmr.earthdata.nasa.gov/search/concepts/C1291623418-AU_AADC.umm_json This is a scanned copy of the annual report on vertebrate biology at Macquarie Island, 1990, by Rupert Woods. The scanned report contains information on: - Elephant seal census - Elephant seal tagging program (1984-1985, 1987-1991) - Freeze branding - Weaner weights - Anaesthetics - Gastric lavage - Opthalmology problems - Penguin crush (mass deaths of King Penguins) - PTTs and TDTRs - Toxoplasmosis - Morbilivirus - DNA samples (elephant seals and fur seals) - Anaesthesia and surgery of birds - Details of a neo-natal longfinned pilot whale washed ashore - Fur seals (census, euthanasia, injuries, net entanglements) - Letters - Abandoned elephant seal pup - Drift cards - Killer whale attack proprietary
Vestfold_Hills_Limnological_Sulphur_1 Aspects of the biological sulphur cycle in limnological ecosystems in the Vestfold Hills, Antarctica AU_AADC STAC Catalog 1984-01-01 1984-10-30 77.87109, -68.79209, 78.89282, -68.34249 https://cmr.earthdata.nasa.gov/search/concepts/C1291655146-AU_AADC.umm_json This is a scanned copy of the report, 'Aspects of the biological sulphur cycle in limnological ecosystems in the Vestfold Hills, Antarctica' by P.P. Deprez and P.D. Franzmann. Taken from the document: This document is a report of the work carried out by two wintering biologists at Davis in 1984. It encompasses work completed between January 1984 and October 30 1984. It is not a publication in the scientific sense. It was written quickly, in the first two weeks of November, 1984 and was not revised. It was edited by Harry Burton in December, 1984. It includes: 1) Determination of sulphate reduction rates by radiometric methods in the sediments of Burton Lake, Ace Lake, Watts Lake, Shield Lake and Ellis Fjord. 2) Measurement of reduced sulphur compounds in Antarctic Lakes by gas chromatography with dual flame photometric detection. 3) Chemical measurements and parameters of some Antarctic lakes. 4) Collection and preliminary investigation of Antarctic micro-organisms. 5) Other bits. proprietary
Vestfold_Lake_Areas_1 Areas of Lakes in the Vestfold Hills AU_AADC STAC Catalog 1997-07-01 1997-07-31 77.83813, -68.78414, 78.80493, -68.39109 https://cmr.earthdata.nasa.gov/search/concepts/C1214311423-AU_AADC.umm_json The dataset contains lake areas and perimeters given in metres of the lakes found within the Vestfold Hills near Davis Station Antarctica. The data are held in an excel spreadsheet. The area of the lakes is given in square metres (and perimeters in metres). The last two columns are the areas in square km, and then hectares. The fields in this dataset are: lake number area perimeter development of coastline proprietary
-Vision-1.full.archive.and.tasking_NA Vision-1 full archive and tasking ESA STAC Catalog 2019-02-24 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2547572330-ESA.umm_json Vision-1 provides very high resolution optical products, with 87cm resolution in Panchromatic mode and 3.48m in Multispectral Mode. Products are in DIMAP format; the image is in GeoTiff format with 16 bit encoding; the applied geographical projection is WGS84 UTM Spectral band combination options: • Panchromatic (PAN): includes data contained within a single high resolution black and white band, with product pixel size of 0.87m • Multispectral (MS4): includes four multispectral (colour) bands: Blue, Green, Red and Near Infrared. The product pixel size is 3.48m. • Bundle (BUN): provides both the 4-band multispectral, and the panchromatic data from the same acquisition in a single, non-merged product. Data is provided as 16-bit GeoTiffs with pixel sizes of 3.48m and 0.87m for MS and PAN data respectively • Pansharpened (PSH): single higher resolution 0.87 colour product obtained by the combination of the visual coloured information of the multispectral data with the details provided in the panchromatic data Three different geometric processing levels are : • Projected (level 2): The product is mapped onto the Earth cartographic system using a standard reference datum and projection system at a constant terrestrial altitude, relative to the reference ellipsoid. By default, the map projection system is WGS84/UTM. The image is georeferenced without the application of a Digital Elevation Model (DEM) and supplied with the RPC model file. Pansharpened are not available as projected product • Standard Ortho (level 3): georeferenced image in Earth geometry, including the application of a Airbus World DEM for Ortho and GCPs (using Airbus Intelligence One Atlas BaseMap as reference). The orthorectification procedure eliminates the perspective effect on the ground (excluding buildings) to restore the geometry of a vertical shot. • Tailored Ortho (level 3): aside from the Standard Ortho product, when different specifications are needed, a custom on-demand orthorectification is performed, using projection, height and/or reference information provided by the client Only the basic radiometric processing is available providing the radiance value. https://earth.esa.int/eogateway/catalog/vision-1-full-archive-and-tasking proprietary
+Vision-1.full.archive.and.tasking_8.0 Vision-1 full archive and tasking ESA STAC Catalog 2019-02-24 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2547572330-ESA.umm_json Vision-1 provides very high resolution optical products, with 87cm resolution in Panchromatic mode and 3.48m in Multispectral Mode. Products are in DIMAP format; the image is in GeoTiff format with 16 bit encoding; the applied geographical projection is WGS84 UTM. Spectral band combination options: Panchromatic (PAN): includes data contained within a single high resolution black and white band, with product pixel size of 0.87m Multispectral (MS4): includes four multispectral (colour) bands: Blue, Green, Red and Near Infrared. The product pixel size is 3.48m Bundle (BUN): provides both the 4-band multispectral, and the panchromatic data from the same acquisition in a single, non-merged product. Data is provided as 16-bit GeoTiffs with pixel sizes of 3.48m and 0.87m for MS and PAN data respectively Pansharpened (PSH): single higher resolution 0.87 colour product obtained by the combination of the visual coloured information of the multispectral data with the details provided in the panchromatic data. Two different geometric processing levels are: Projected (level 2): The product is mapped onto the Earth cartographic system using a standard reference datum and projection system at a constant terrestrial altitude, relative to the reference ellipsoid. By default, the map projection system is WGS84/UTM. The image is georeferenced without the application of a Digital Elevation Model (DEM) and supplied with the RPC model file. Pansharpened are not available as projected product Standard Ortho (level 3): georeferenced image in Earth geometry, including the application of a Airbus World DEM for Ortho and GCPs (using Airbus Intelligence One Atlas BaseMap as reference). The orthorectification procedure eliminates the perspective effect on the ground (excluding buildings) to restore the geometry of a vertical shot. Only the basic radiometric processing is available providing the radiance value. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided. proprietary
Vulcan_V3_Annual_Emissions_1741_1 Vulcan: High-Resolution Annual Fossil Fuel CO2 Emissions in USA, 2010-2015, Version 3 ORNL_CLOUD STAC Catalog 2010-01-01 2016-01-01 -165.21, 22.86, -65.31, 73.75 https://cmr.earthdata.nasa.gov/search/concepts/C2517350332-ORNL_CLOUD.umm_json The Vulcan version 3.0 annual dataset provides estimates of annual carbon dioxide (CO2) emissions from the combustion of fossil fuels (FF) and CO2 emissions from cement production for the conterminous United States and the State of Alaska. Referred to as FFCO2, the emissions from Vulcan are categorized into 10 source sectors including; residential, commercial, industrial, electricity production, onroad, nonroad, commercial marine vessel, airport, rail, and cement. Data are gridded annually on a 1-km grid for the years 2010 to 2015. These data are annual sums of hourly estimates. Also provided are estimates of the upper 95% confidence interval and the lower 95% confidence interval boundaries for each emission estimate. For each uncertainty level, there are 10 individual sector files and one total file. These data are designed to be used as emission estimates in atmospheric transport modeling, policy, mapping, and other data analyses and applications. proprietary
Vulcan_V3_Hourly_Emissions_1810_1 Vulcan: High-Resolution Hourly Fossil Fuel CO2 Emissions in USA, 2010-2015, Version 3 ORNL_CLOUD STAC Catalog 2010-01-01 2016-01-01 -165.21, 22.86, -65.31, 73.75 https://cmr.earthdata.nasa.gov/search/concepts/C2516155224-ORNL_CLOUD.umm_json The Vulcan version 3.0 hourly dataset quantifies hourly emissions at a 1-km resolution for the 2010-2015 time period. Estimates are provided of hourly carbon dioxide (CO2) emissions from the combustion of fossil fuels (FF) and CO2 emissions from cement production for the conterminous United States and the state of Alaska. Referred to as FFCO2, the emissions from Vulcan are categorized into 10 source sectors including; residential, commercial, industrial, electricity production, onroad, nonroad, commercial marine vessel, airport, rail, and cement. Files for hourly total emissions are also available. Data are represented in space on a 1 km x 1 km grid as hourly totals for 2010-2015. This dataset provides the first bottom-up U.S.-wide FFCO2 emissions data product at 1 km2/hourly for multiple years and is designed to be used as emission estimates in atmospheric transport modeling, policy, mapping, and other data analyses and applications. proprietary
WACS2_0 Western Atlantic Climate Study II OB_DAAC STAC Catalog 2014-05-22 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360697-OB_DAAC.umm_json Sea spray aerosol (SSA) impacts the Earth’s radiation budget indirectly by altering cloud properties including albedo, lifetime, and extent, and directly by scattering solar radiation. Characterization of the properties of SSA in its freshly emitted state is needed for accurate model calculations of climate impacts. In addition, simultaneous measurements of surface seawater are required to assess the impact of ocean properties on sea spray aerosol and to develop accurate parameterizations of the SSA number production flux for use in regional and global scale models.Sea spray aerosol (SSA) impacts the Earth’s radiation budget indirectly by altering cloud properties including albedo, lifetime, and extent, and directly by scattering solar radiation. Characterization of the properties of SSA in its freshly emitted state is needed for accurate model calculations of climate impacts. In addition, simultaneous measurements of surface seawater are required to assess the impact of ocean properties on sea spray aerosol and to develop accurate parameterizations of the SSA number production flux for use in regional and global scale models. proprietary
@@ -15537,12 +15556,12 @@ Wildfires_NWT_Canada_2019_1900_1 ABoVE: Post-Fire and Unburned Vegetation Commun
Willow_Veg_Plots_1368_1 Arctic Vegetation Plots in Willow Communities, North Slope, Alaska, 1997 ORNL_CLOUD STAC Catalog 1997-07-09 1997-08-17 -149.85, 68.03, -148.08, 70.19 https://cmr.earthdata.nasa.gov/search/concepts/C2170969823-ORNL_CLOUD.umm_json This data set provides environmental, soil, and vegetation data collected in July and August 1997 from 85 study plots in willow shrub communities located along a north-south transect from the Brooks Range to Prudhoe Bay on the North Slope of Alaska. Data includes the baseline plot information for vegetation, soils, and site factors for the study plots subjectively located in three broad habitat types across the glaciated landscape. Specific attributes include: dominant vegetation species, cover, indices, and biomass pools; soil chemistry, physical characteristics, moisture, and organic matter. This product brings together for easy reference all the available information collected from the plots that has been used for the classification, mapping, and analysis of geobotanical factors in the region and across Alaska. proprietary
WindSat-REMSS-L3U-v7.0.1a_7.0.1a GHRSST Level 3U Global Subskin Sea Surface Temperature version7.0.1a from the WindSat Polarimetric Radiometer on the Coriolis satellite POCLOUD STAC Catalog 2002-06-01 2020-10-19 -179.99, -39.06, 180, 39.01 https://cmr.earthdata.nasa.gov/search/concepts/C2036878925-POCLOUD.umm_json "The WindSat Polarimetric Radiometer, launched on January 6, 2003 aboard the Department of Defense Coriolis satellite, was designed to measure the ocean surface wind vector from space. It developed by the Naval Research Laboratory (NRL) Remote Sensing Division and the Naval Center for Space Technology for the U.S. Navy and the National Polar-orbiting Operational Environmental Satellite System (NPOESS) Integrated Program Office (IPO). In addition to wind speed and direction, the instrument can also measure sea surface temperature, soil moisture, ice and snow characteristics, water vapor, cloud liquid water, and rain rate. Unlike previous radiometers, the WindSat sensor takes observations during both the forward and aft looking scans. This makes the WindSat geometry of the earth view swath quite different and significantly more complicated to work with than the other passive microwave sensors. The Remote Sensing Systems (RSS, or REMSS) WindSat products are the only dataset available that uses both the fore and aft look directions. By using both directions, a wider swath and more complicated swath geometry is obtained. RSS providers of these SST data for the Group for High Resolution Sea Surface Temperature (GHRSST) Project, performs a detailed processing of WindSat instrument data in two stages. The first stage produces a near-real-time (NRT) product (identified by ""rt"" within the file name) which is made as available as soon as possible. This is generally within 3 hours of when the data are recorded. Although suitable for many timely uses the NRT products are not intended to be archive quality. ""Final"" data (currently identified by ""v7.0.1a"" within the file name) are processed when RSS receives the atmospheric mode NCEP FNL analysis. The NCEP wind directions are particularly useful for retrieving more accurate SSTs and wind speeds. The final ""v7.0.1a"" products will continue to accumulate new swaths (half orbits) until the maps are full, generally within 7 days. The version with letter ""a"" refers to the file incompliance with GHRSST format." proprietary
Wolves_Denning_Pups_Climate_1846_1 ABoVE: Wolf Denning Phenology and Reproductive Success, Alaska and Canada, 2000-2017 ORNL_CLOUD STAC Catalog 2000-03-29 2017-08-31 -154.58, 52.97, -112.97, 67.84 https://cmr.earthdata.nasa.gov/search/concepts/C2143401778-ORNL_CLOUD.umm_json This dataset provides annual gray wolf (Canis lupus) denning spatial information and timing, associated climatic and phenologic metrics, and reproductive success (i.e., pup survival) in wolf populations across areas of western Canada and Alaska within the NASA ABoVE Core Domain. The study encompasses 18 years between the period 2000-2017. Wolves were captured from eight populations following standard animal care protocols and released with Global Positioning System (GPS) collars. Data from 388 wolves were used to estimate den initiation dates (n=227 dens of 106 packs) and reproductive success in the eight populations. Each population was monitored from 1 to 12 years between 2000 and 2017. Denning parturition phenology was measured each year as the number of calendar days from January 1st to the initiation date of each documented denning event. Reproductive success was determined as to whether pups survived through the end of August following a reproductive event. To evaluate the effect of climate factors on reproductive phenology, aggregated seasonal climate metrics for temperature, precipitation, and snow water equivalent based on three biological seasons for seasonal wolf home ranges were produced. Normalized Difference Vegetation Index (NDVI) time-series data were used to estimate phenological metrics such as the start of the growing season (SOS), length of the growing season (LOS), and time-integrated NDVI (tiNDVI), and were summarized for the populations' home range. proprietary
-WorldView-1.full.archive.and.tasking_NA WorldView-1 full archive and tasking ESA STAC Catalog 2007-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336959-ESA.umm_json WorldView-1 high resolution optical products are available as part of the Maxar Standard Satellite Imagery products from the QuickBird, WorldView-1/-2/-3/-4, and GeoEye-1 satellites. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. In particular, WorldView-1 offers archive and tasking panchromatic products up to 0.50m GSD resolution. • Panchromatic - Levels: STANDARD (2A) / VIEW READY STANDARD (OR2A), VIEW READY STEREO, MAP READY (ORTHO) 1:12.000 Orthorectified - Resolutions: 0.30 m, 0.40 m, 0.50 m. 0.60 m The list of available archived data can be retrieved using the Image Library (https://www.euspaceimaging.com/image-library/) catalogue. proprietary
-WorldView-2.European.Cities_NA WorldView-2 European Cities ESA STAC Catalog 2010-07-20 2015-07-19 -19, -26, 35, 66 https://cmr.earthdata.nasa.gov/search/concepts/C1965336961-ESA.umm_json ESA, in collaboration with European Space Imaging, has collected this WorldView-2 dataset covering the most populated areas in Europe at 40 cm resolution. The products have been acquired between July 2010 and July 2015. proprietary
-WorldView-2.full.archive.and.tasking_NA WorldView-2 full archive and tasking ESA STAC Catalog 2009-11-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336963-ESA.umm_json WorldView-2 high resolution optical products are available as part of the Maxar Standard Satellite Imagery products from the QuickBird, WorldView-1/-2/-3/-4, and GeoEye-1 satellites. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. In particular, WorldView-2 offers archive and tasking panchromatic products up to 0.46m GSD resolution, and 4-Bands/8-Bands Multispectral products up to 1.84m GSD resolution. • Panchromatic and 4-bands - Levels: STANDARD (2A) / VIEW READY STANDARD (OR2A), VIEW READY STEREO, MAP-READY (ORTHO) 1:12.000 Orthorectified - Resolutions: 0.30 m, 0.40 m, 0.50 m. 0.60 m • 8-Bands - Levels: STANDARD (2A) / VIEW READY STANDARD (OR2A), VIEW READY STEREO, MAP-READY (ORTHO) 1:12.000 Orthorectified - Resolutions: 0.30 m, 0.40 m, 0.50 m. 0.60 m 4-Bands being an optional from: • 4-Band Multispectral (BLUE, GREEN, RED, NIR1) • 4-Band Pan-sharpened (BLUE, GREEN, RED, NIR1) • 4-Band Bundle (PAN, BLUE, GREEN, RED, NIR1) • 3-Bands Natural Colour (pan-sharpened BLUE, GREEN, RED) • 3-Band Colored Infrared (pan-sharpened GREEN, RED, NIR1) 8-Bands being an optional from: • 8-Band Multispectral (COASTAL, BLUE, GREEN, YELLOW, RED, RED EDGE, NIR1, NIR2) • 8-Band Bundle (PAN, COASTAL, BLUE, GREEN, YELLOW, RED, RED EDGE, NIR1, NIR2) The list of available archived data can be retrieved using the Image Library (https://www.euspaceimaging.com/image-library/) catalogue. proprietary
-WorldView-3.full.archive.and.tasking_NA WorldView-3 full archive and tasking ESA STAC Catalog 2014-09-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336965-ESA.umm_json WorldView-3 high resolution optical products are available as part of the Maxar Standard Satellite Imagery products from the QuickBird, WorldView-1/-2/-3/-4, and GeoEye-1 satellites. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. In particular, WorldView-3 offers archive and tasking panchromatic products up to 0.31m GSD resolution, 4-Bands/8-Bands products up to 1.24m GSD resolution, and SWIR products up to 3.70m GSD resolution. • High Res Optical: Panchromatic and 4-bands - Levels: STANDARD (2A) / VIEW READY STANDARD (OR2A), VIEW READY STEREO, MAP-READY (ORTHO) 1:12.000 Orthorectified - Resolutions: 0.30 m, 0.40 m, 0.50 m. 0.60 m • High Res Optical: 8-Bands - Levels: STANDARD (2A) / VIEW READY STANDARD (OR2A), VIEW READY STEREO, MAP-VIEW (ORTHO) 1:12.000 Orthorectified - Resolutions: 0.30 m, 0.40 m, 0.50 m. 0.60 m •High Res Optical: SWIR - Levels: STANDARD (2A) / VIEW READY STANDARD (OR2A), MAP-VIEW (ORTHO) 1:12.000 Orthorectified - Resolutions: 7.5 m 4-Bands being an optional from: • 4-Band Multispectral (BLUE, GREEN, RED, NIR1) • 4-Band Pan-sharpened (BLUE, GREEN, RED, NIR1) • 4-Band Bundle (PAN, BLUE, GREEN, RED, NIR1) • 3-Bands Natural Colour (pan-sharpened BLUE, GREEN, RED) • 3-Band Colored Infrared (pan-sharpened GREEN, RED, NIR1) 8-Bands being an optional from: • 8-Band Multispectral (COASTAL, BLUE, GREEN, YELLOW, RED, RED EDGE, NIR1, NIR2) • 8-Band Bundle (PAN, COASTAL, BLUE, GREEN, YELLOW, RED, RED EDGE, NIR1, NIR2) The list of available archived data can be retrieved using the Image Library (https://www.euspaceimaging.com/image-library/) catalogue. proprietary
-WorldView-4.full.archive_NA WorldView-4 full archive ESA STAC Catalog 2016-12-01 2019-01-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2547572305-ESA.umm_json WorldView-4 high resolution optical products are available as part of the Maxar Standard Satellite Imagery products from the QuickBird, WorldView-1/-2/-3/-4, and GeoEye-1 satellites. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. In particular, WorldView-4 offers archive panchromatic products up to 0.31m GSD resolution, and 4-Bands Multispectral products up to 1.24m GSD resolution Band Combination: Panchromatic and 4-bands Data Processing Level: STANDARD (2A) / VIEW READY STANDARD (OR2A), VIEW READY STEREO, MAP-READY (ORTHO) 1:12.000 Orthorectified Resolutions: 0.30 m, 0.40 m, 0.50 m. 0.60 m The options for 4-Bands are the following: • 4-Band Multispectral (BLUE, GREEN, RED, NIR1) • 4-Band Pan-sharpened (BLUE, GREEN, RED, NIR1) • 4-Band Bundle (PAN, BLUE, GREEN, RED, NIR1) • 3-Bands Natural Colour (pan-sharpened BLUE, GREEN, RED) • 3-Band Colored Infrared (pan-sharpened GREEN, RED, NIR1) The list of available archived data can be retrieved using the Image Library (https://www.euspaceimaging.com/image-library/) catalogue. proprietary
-WorldView.ESA.archive_NA WorldView ESA archive ESA STAC Catalog 2009-02-07 2020-12-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689694-ESA.umm_json The WorldView ESA archive is composed of products acquired by WorldView-1, -2, -3 and -4 satellites and requested by ESA supported projects over their areas of interest around the world. The dataset regularly grows as ESA gathers new products. Panchromatic, 4-Bands, 8-Bands and SWIR products are part of the offer, with the resolution at Nadir depicted in the table. The 4-Bands includes various options such as Multispectral (separate channel for BLUE, GREEN, RED, NIR1), Pan-sharpened (BLUE, GREEN, RED, NIR1), Bundle (separate bands for PAN, BLUE, GREEN, RED, NIR1), Natural Color (pan-sharpened BLUE, GREEN, RED), Colored Infrared (pan-sharpened GREEN, RED, NIR) The 8-Bands being an optional from Multispectral (COASTAL, BLUE, GREEN, YELLOW, RED, RED EDGE, NIR1, NIR2) and Bundle (PAN, COASTAL, BLUE, GREEN, YELLOW, RED, RED EDGE, NIR1, NIR2) The processing levels are: • STANDARD (2A): normalized for topographic relief • VIEW READY STANDARD (OR2A): ready for orthorectification (RPB files embedded) • VIEW READY STEREO: collected in-track for stereo viewing and manipulation (not available for SWIR) • MAP-READY (ORTHO) 1:12.000 Orthorectified: additional processing unnecessary proprietary
+WorldView-1.full.archive.and.tasking_8.0 WorldView-1 full archive and tasking ESA STAC Catalog 2007-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336959-ESA.umm_json "WorldView-1 high resolution optical products are available as part of the Maxar Standard Satellite Imagery products from the QuickBird, WorldView-1/-2/-3/-4, and GeoEye-1 satellites. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. In particular, WorldView-1 offers archive and tasking panchromatic products up to 0.50 m GSD resolution. Band Combination Data Processing Level Resolution Panchromatic Standard(2A)/View Ready STANDARD (OR2A) 50 cm, 30 cm HD View Ready Stereo 50 cm Map-Ready (Ortho) 1:12.000 Orthorectified 50 cm, 30 cm HD Native 50 cm resolution products are processed with MAXAR HD Technology to generate the 30 cm HD products: the initial special resolution (GSD) is unchanged but the HD technique increases the number of pixels and improves the visual clarity achieving aesthetically refined imagery with precise edges and well reconstructed details. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided." proprietary
+WorldView-2.European.Cities_10.0 WorldView-2 European Cities ESA STAC Catalog 2010-07-20 2015-07-19 -19, -26, 35, 66 https://cmr.earthdata.nasa.gov/search/concepts/C1965336961-ESA.umm_json ESA, in collaboration with European Space Imaging, has collected this WorldView-2 dataset covering the most populated areas in Europe at 40 cm resolution. The products have been acquired between July 2010 and July 2015. proprietary
+WorldView-2.full.archive.and.tasking_8.0 WorldView-2 full archive and tasking ESA STAC Catalog 2009-11-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336963-ESA.umm_json "WorldView-2 high resolution optical products are available as part of the Maxar Standard Satellite Imagery products from the QuickBird, WorldView-1/-2/-3/-4, and GeoEye-1 satellites. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. In particular, WorldView-2 offers archive and tasking panchromatic products up to 0.46 m GSD resolution, and 4-Bands/8-Bands Multispectral products up to 1.84 m GSD resolution. Band Combination Data Processing Level Resolution Panchromatic and 4-bands Standard (2A)/View Ready Standard (OR2A) 15 cm HD, 30 cm HD, 30 cm, 40 cm, 50/60 cm View Ready Stereo 30 cm, 40 cm, 50/60 cm Map-Ready (Ortho) 1:12.000 Orthorectified 15 cm HD, 30 cm HD, 30 cm, 40 cm, 50/60 cm 8-bands Standard(2A)/View Ready Standard (OR2A) 30 cm, 40 cm, 50/60 cm View Ready Stereo 30 cm, 40 cm, 50/60 cm Map-Ready (Ortho) 1:12.000 Orthorectified 30 cm, 40 cm, 50/60 cm 4-Bands being an optional from: 4-Band Multispectral (BLUE, GREEN, RED, NIR1) 4-Band Pan-sharpened (BLUE, GREEN, RED, NIR1) 4-Band Bundle (PAN, BLUE, GREEN, RED, NIR1) 3-Bands Natural Colour (pan-sharpened BLUE, GREEN, RED) 3-Band Colored Infrared (pan-sharpened GREEN, RED, NIR1). 8-Bands being an optional from: 8-Band Multispectral (COASTAL, BLUE, GREEN, YELLOW, RED, RED EDGE, NIR1, NIR2) 8-Band Bundle (PAN, COASTAL, BLUE, GREEN, YELLOW, RED, RED EDGE, NIR1, NIR2). Native 30 cm and 50/60 cm resolution products are processed with MAXAR HD Technology to generate respectively the 15 cm HD and 30 cm HD products: the initial special resolution (GSD) is unchanged but the HD technique increases the number of pixels, improves the visual clarity and allows to obtain an aesthetically refined imagery with precise edges and well reconstructed details. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided." proprietary
+WorldView-3.full.archive.and.tasking_8.0 WorldView-3 full archive and tasking ESA STAC Catalog 2014-09-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336965-ESA.umm_json "WorldView-3 high resolution optical products are available as part of the Maxar Standard Satellite Imagery products from the QuickBird, WorldView-1/-2/-3/-4, and GeoEye-1 satellites. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. In particular, WorldView-3 offers archive and tasking panchromatic products up to 0.31m GSD resolution, 4-Bands/8-Bands products up to 1.24 m GSD resolution, and SWIR products up to 3.70 m GSD resolution. Band Combination Data Processing Level Resolution High Res Optical: Panchromatic and 4-bands Standard(2A)/View Ready Standard (OR2A) 15 cm HD, 30 cm HD, 30 cm, 40 cm, 50/60 cm View Ready Stereo 30 cm, 40 cm, 50/60 cm Map Ready (Ortho) 1:12.000 Orthorectified 15 cm HD, 30 cm HD, 30 cm, 40 cm, 50/60 cm High Res Optical: 8-bands Standard(2A)/View Ready Standard (OR2A) 30 cm, 40 cm, 50/60 cm View Ready Stereo 30 cm, 40 cm, 50/60 cm Map Ready (Ortho) 1:12.000 Orthorectified 30 cm, 40 cm, 50/60 cm High Res Optical: SWIR Standard(2A)/View Ready Standard (OR2A) 3.7 m or 7.5 m (depending on the collection date) Map Ready (Ortho) 1:12.000 Orthorectified 4-Bands being an optional from: 4-Band Multispectral (BLUE, GREEN, RED, NIR1) 4-Band Pan-sharpened (BLUE, GREEN, RED, NIR1) 4-Band Bundle (PAN, BLUE, GREEN, RED, NIR1) 3-Bands Natural Colour (pan-sharpened BLUE, GREEN, RED) 3-Band Colored Infrared (pan-sharpened GREEN, RED, NIR1) 8-Bands being an optional from: 8-Band Multispectral (COASTAL, BLUE, GREEN, YELLOW, RED, RED EDGE, NIR1, NIR2) 8-Band Bundle (PAN, COASTAL, BLUE, GREEN, YELLOW, RED, RED EDGE, NIR1, NIR2) Native 30 cm and 50/60 cm resolution products are processed with MAXAR HD Technology to generate respectively the 15 cm HD and 30 cm HD products: the initial special resolution (GSD) is unchanged but the HD technique increases the number of pixels and improves the visual clarity achieving aesthetically refined imagery with precise edges and well reconstructed details. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided." proprietary
+WorldView-4.full.archive_7.0 WorldView-4 full archive ESA STAC Catalog 2016-12-01 2019-01-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2547572305-ESA.umm_json WorldView-4 high resolution optical products are available as part of the Maxar Standard Satellite Imagery products from the QuickBird, WorldView-1/-2/-3/-4, and GeoEye-1 satellites. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. In particular, WorldView-4 offers archive panchromatic products up to 0.31m GSD resolution, and 4-Bands Multispectral products up to 1.24m GSD resolution Band Combination: Panchromatic and 4-bands Data Processing Level: STANDARD (2A) / VIEW READY STANDARD (OR2A), VIEW READY STEREO, MAP-READY (ORTHO) 1:12.000 Orthorectified Resolutions: 0.30 m, 0.40 m, 0.50 m. 0.60 m The options for 4-Bands are the following: • 4-Band Multispectral (BLUE, GREEN, RED, NIR1) • 4-Band Pan-sharpened (BLUE, GREEN, RED, NIR1) • 4-Band Bundle (PAN, BLUE, GREEN, RED, NIR1) • 3-Bands Natural Colour (pan-sharpened BLUE, GREEN, RED) • 3-Band Colored Infrared (pan-sharpened GREEN, RED, NIR1) The list of available archived data can be retrieved using the Image Library (https://www.euspaceimaging.com/image-library/) catalogue. proprietary
+WorldView.ESA.archive_9.0 WorldView ESA archive ESA STAC Catalog 2009-02-07 2020-12-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689694-ESA.umm_json "The WorldView ESA archive is composed of products acquired by WorldView-1, -2, -3 and -4 satellites and requested by ESA supported projects over their areas of interest around the world Panchromatic, 4-Bands, 8-Bands and SWIR products are part of the offer, with the resolution at Nadir depicted in the table. Band Combination Mission GSD Resolution at Nadir GSD Resolution (20° off nadir) Panchromatic WV-1 50 cm 55 cm WV-2 46 cm 52 cm WV-3 31 cm 34 cm WV-4 31 cm 34 cm 4-Bands WV-2 1.84 m 2.4 m WV-3 1.24 m 1.38 m WV-4 1.24 m 1.38 m 8-Bands WV-2 1.84 m 2.4 m WV-3 1.24 m 1.38 m SWIR WV-3 3.70 m 4.10 m The 4-Bands includes various options such as Multispectral (separate channel for Blue, Green, Red, NIR1), Pan-sharpened (Blue, Green, Red, NIR1), Bundle (separate bands for PAN, Blue, Green, Red, NIR1), Natural Colour (pan-sharpened Blue, Green, Red), Coloured Infrared (pan-sharpened Green, Red, NIR). The 8-Bands being an option from Multispectral (COASTAL, Blue, Green, Yellow, Red, Red EDGE, NIR1, NIR2) and Bundle (PAN, COASTAL, Blue, Green, Yellow, Red, Red EDGE, NIR1, NIR2). The processing levels are: Standard (2A): normalised for topographic relief View Ready Standard: ready for orthorectification (RPB files embedded) View Ready Stereo: collected in-track for stereo viewing and manipulation (not available for SWIR) Map Scale (Ortho) 1:12,000 Orthorectified: additional processing unnecessary Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/smcat/WorldView/ available on the Third Party Missions Dissemination Service. The following table summarises the offered product types EO-SIP Product Type Band Combination Processing Level Missions WV6_PAN_2A Panchromatic (PAN) Standard/View Ready Standard WorldView-1 and 4 WV6_PAN_OR Panchromatic (PAN) View Ready Stereo WorldView-1 and 4 WV6_PAN_MP Panchromatic (PAN) Map Scale Ortho WorldView-1 and 4 WV1_PAN__2A Panchromatic (PAN) Standard/View Ready Standard WorldView-2 and 3 WV1_PAN__OR Panchromatic (PAN) View Ready Stereo WorldView-2 and 3 WV1_PAN__MP Panchromatic (PAN) Map Scale Ortho WorldView-2 and 3 WV1_4B__2A 4-Band (4B) Standard/View Ready Standard WorldView-2, 3 and 4 WV1_4B__OR 4-Band (4B) View Ready Stereo WorldView-2, 3 and 4 WV1_4B__MP 4-Band (4B) Map Scale Ortho WorldView-2, 3 and 4 WV1_8B_2A 8-Band (8B) Standard/View Ready Standard WorldView-2 and 3 WV1_8B_OR 8-Band (8B) View Ready Stereo WorldView-2 and 3 WV1_8B_MP 8-Band (8B) Map Scale Ortho WorldView-2 and 3 WV1_S8B__2A SWIR Standard/View Ready Standard WorldView-3 WV1_S8B__MP SWIR Map Scale Ortho WorldView-3 As per ESA policy, very high-resolution imagery of conflict areas cannot be provided." proprietary
XAERDT_L2_ABI_G16_1 ABI/GOES-16 Dark Target Aerosol 10-Min L2 Full Disk 10 km LAADS STAC Catalog 2019-01-01 2023-01-02 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2859273114-LAADS.umm_json The ABI/GOES-16 Dark Target Aerosol 10-Min L2 Full Disk 10 km product, short-name XAERDT_L2_ABI_G16 is provided at 10-km spatial resolution (at-nadir) and a 10-minute full-disk cadence that typically yields about 144 granules over the daylit hours of a 24-hour period. The Geostationary Operational Environmental Satellite – GOES-16 has been serving in the operational GOES-East position (near -75°W) since December 18, 2017. The GOES-16/ABI collection record spans from January 2019 through December 2022. The XAERDT_L2_ABI_G16 product is a part of the Geostationary Earth Orbit (GEO)–Low-Earth Orbit (LEO) Dark Target Aerosol project under NASA’s Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, led by Robert Levy, uses a special version of the MODIS Dark Target (DT) aerosol retrieval algorithm to produce Aerosol Optical Depth (AOD) and other aerosol parameters derived independently from seven sensor/platform combinations, where 3 are in GEO and 4 are in LEO. The 3 GEO sensors include Advanced Baseline Imagers (ABI) on both GOES-16 (GOES-East) and GOES-17 (GOES-West), and Advanced Himawari Imager (AHI) on Himawari-8. The 4 LEO sensors include MODIS on both Terra and Aqua, and VIIRS on both Suomi-NPP and NOAA-20. Adding the LEO sensors reinforces a major goal of this project, which is to render a consistent science maturity level across DT aerosol products derived from both types and sources of orbital satellites. The XAERDT_L2_ABI_G16 product, in netCDF4 format, contains 45 Science Data Set (SDS) layers that include 8 geolocation and 37 geophysical SDSs. For more information consult LAADS product description page at: https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/XAERDT_L2_ABI_G16 Or, Dark Target aerosol team Page at: https://darktarget.gsfc.nasa.gov/ proprietary
XAERDT_L2_ABI_G17_1 ABI/GOES-17 Dark Target Aerosol 10-Min L2 Full Disk 10 km LAADS STAC Catalog 2019-01-01 2023-01-02 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2859265967-LAADS.umm_json The ABI/GOES-17 Dark Target Aerosol 10-Min L2 Full Disk 10 km product, short-name XAERDT_L2_ABI_G17 is provided at 10-km spatial resolution (at-nadir) and a 10-minute full-disk cadence that typically yields about 144 granules over the daylit hours of a 24-hour period. The Geostationary Operational Environmental Satellite – GOES-17 served in the operational GOES-West position (near -137°W), from February 12, 2019, through January 4, 2023. The GOES-16/ABI collection record spans from January 2019 through December 2022. The XAERDT_L2_ABI_G17 product is a part of the Geostationary Earth Orbit (GEO)–Low-Earth Orbit (LEO) Dark Target Aerosol project under NASA’s Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, led by Robert Levy, uses a special version of the MODIS Dark Target (DT) aerosol retrieval algorithm to produce Aerosol Optical Depth (AOD) and other aerosol parameters derived independently from seven sensor/platform combinations, where 3 are in GEO and 4 are in LEO. The 3 GEO sensors include Advanced Baseline Imagers (ABI) on both GOES-16 (GOES-East) and GOES-17 (GOES-West), and Advanced Himawari Imager (AHI) on Himawari-8. The 4 LEO sensors include MODIS on both Terra and Aqua, and VIIRS on both Suomi-NPP and NOAA-20. Adding the LEO sensors reinforces a major goal of this project, which is to render a consistent science maturity level across DT aerosol products derived from both types and sources of orbital satellites. The XAERDT_L2_ABI_G17 product, in netCDF4 format, contains 45 Science Data Set (SDS) layers that include 8 geolocation and 37 geophysical SDSs. For more information consult LAADS product description page at: https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/XAERDT_L2_ABI_G17 Or, Dark Target aerosol team Page at: https://darktarget.gsfc.nasa.gov/ proprietary
XAERDT_L2_AHI_H08_1 AHI/Himawari-08 Dark Target Aerosol 10-Min L2 Full Disk 10 km LAADS STAC Catalog 2019-01-01 2022-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2859255251-LAADS.umm_json The AHI/Himawari-08 Dark Target Aerosol 10-Min L2 Full Disk 10 km product, short-name XAERDT_L2_AHI_H08 is provided at 10-km spatial resolution (at-nadir) and a 10-minute full-disk cadence that typically yields about 142 granules over the daylit hours of a 24-hour period (there are no images produced at 02:20 or 14:20 UTC for navigation purposes). The Himawari-8 platform served in the operational Himawari position (near 140.7°E) between October 2014 and 13 December 2022. Himawari-9 replaced Himawari-8 and is currently operational. The Himawari-8/AHI collection record spans from January 2019 through 12th December 2022. The final 19 days of 2022 (December 13 through 31) are served by L2 products derived from the Himawari-9/AHI instrument. The XAERDT_L2_AHI_H08 product is a part of the Geostationary Earth Orbit (GEO)–Low-Earth Orbit (LEO) Dark Target Aerosol project under NASA’s Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, led by Robert Levy, uses a special version of the MODIS Dark Target (DT) aerosol retrieval algorithm to produce Aerosol Optical Depth (AOD) and other aerosol parameters derived independently from seven sensor/platform combinations, where 3 are in GEO and 4 are in LEO. The 3 GEO sensors include Advanced Baseline Imagers (ABI) on both GOES-16 (GOES-East) and GOES-17 (GOES-West), and Advanced Himawari Imager (AHI) on Himawari-8. The 4 LEO sensors include MODIS on both Terra and Aqua, and VIIRS on both Suomi-NPP and NOAA-20. Adding the LEO sensors reinforces a major goal of this project, which is to render a consistent science maturity level across DT aerosol products derived from both types and sources of orbital satellites. The XAERDT_L2_AHI_H08 product, in netCDF4 format, contains 45 Science Data Set (SDS) layers that include 8 geolocation and 37 geophysical SDSs. For more information consult LAADS product description page at: https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/XAERDT_L2_AHI_H08 Or, Dark Target aerosol team Page at: https://darktarget.gsfc.nasa.gov/ proprietary
@@ -15659,7 +15678,8 @@ albedo_line_snow_depths Albedo Line Snow Depths SCIOPS STAC Catalog 2009-04-27 2
ali_etm_tandem_821_1 SAFARI 2000 ALI/ETM+ Tandem Image Pair for Skukuza, South Africa, May 2001 ORNL_CLOUD STAC Catalog 2001-05-30 2001-05-30 30.76, -25.5, 33.12, -23.59 https://cmr.earthdata.nasa.gov/search/concepts/C2789740161-ORNL_CLOUD.umm_json A tandem pair of Advanced Land Imager (ALI) and Landsat Enhanced Thematic Mapper Plus (ETM+) scenes covering the same part of Kruger National Park (KNP), South Africa (including the Skukuza tower site and rest camp), were acquired about a minute apart on May 30, 2001. The ALI is one of three instruments aboard NASA's first New Millennium Program Earth Observing 1 (EO-1) satellite. ALI is a technology validation testbed that employs novel wide-angle optics and a highly integrated multispectral and panchromatic spectroradiometer.The tandem pair was produced to evaluate the differences between ALI and ETM+ and determine if technology similar to that of the ALI is suitable for future land imaging that will continue the observations begun by the Landsat satellites in 1972.The ALI and ETM+ images are false color composites combining shortwave infrared, near infrared, and visible wavelengths, displayed as red, green, and blue, respectively. Dense vegetation appears green. The similarity of the images demonstrates the ability of the ALI to produce data comparable to ETM+. Several SAFARI 2000 field campaigns conducted in KNP provided ground-based data needed to evaluate measurements from the satellite sensors.Each band is stored as an individual binary file. A metadata file accompanies each set of ALI and ETM+ band files to document the path and row number, sample and line counts, band file names, and sun azimuth and elevation angles. There is also a calibration parameter file that was used for 1R processing. proprietary
allADCP_GB Acoustic Doppler Current Profiler (ADCP) observations, Georges Bank area, April-June 1995, GLOBEC. SCIOPS STAC Catalog 1995-04-25 1995-06-16 -68, 40.5, -67, 41.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214155092-SCIOPS.umm_json Acoustic Doppler Current Profiler (ADCP) observations, were collected from the R/V Seward Johnson on two cruises to the Georges Bank region, April-June 1995. Three different ADCP units were used: two broadband at 150 and 600 kHz, and one narrowband at 150 kHz. The broadband 150 kHz unit was used at anchor stations with data reported at hourly intervals. The broad-band 600 kHz and narrow-band 150 kHz units collected data in the along track mode with data reported at five minute intervals. For each time interval, the u and v components of currents are reported at uniform depth intervals throughout the water column. Ship cruise dates R/V Seward Johnson 9506 1995 04 25 1995 05 02 R/V Seward Johnson 9508 1995 06 06 1995 06 16 proprietary
alnus-glutinosa-orientus-ishidae-flavescence-doree_1.0 Alnus glutinosa (L.) Gaertn. and Orientus ishidae (Matsumura, 1902) share phytoplasma genotypes linked to the “Flavescence dorée” epidemics ENVIDAT STAC Catalog 2021-01-01 2021-01-01 8.4484863, 45.8115721, 9.4372559, 46.4586735 https://cmr.earthdata.nasa.gov/search/concepts/C2789814963-ENVIDAT.umm_json Flavescence dorée (FD) is a grapevine disease caused by associated phytoplasmas (FDp), which are epidemically spread by their main vector Scaphoideus titanus. The possible roles of alternative and secondary FDp plant hosts and vectors have gained interest to better understand the FDp ecology and epidemiology. A survey conducted in the surroundings of a vineyard in the Swiss Southern Alps aimed at studying the possible epidemiological role of the FDp secondary vector Orientus ishidae and the FDp host plant Alnus glutinosa is reported. Data used for the publication. Insects were captured by using a sweeping net (on common alder trees) and yellow sticky traps (Rebell Giallo, Andermatt Biocontrol AG, Switzerland) placed in the vineyard canopy. Insects were later determined and selected for molecular analyses. Grapevines and common alder samples were collected using the standard techniques. The molecular analyses were conducted in order to identify samples infected by the Flavescence dorée phytoplasma (16SrV-p) and the Bois Noir phytoplasma (16SrXII-p). A selection of the infected sampled were further characterized by map genotype and sequenced in order to compare the genotypes in insects, grapevines and common alder trees. proprietary
-alos-prism-l1c_NA ALOS PRISM L1C ESA STAC Catalog 2006-08-01 2011-03-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2619280661-ESA.umm_json "This collection provides access to the ALOS-1 PRISM (Panchromatic Remote-sensing Instrument for Stereo Mapping) OB1 L1C data acquired by ESA stations (Kiruna, Maspalomas, Matera, Tromsoe) in the _$$ADEN zone$$ https://earth.esa.int/eogateway/documents/20142/37627/Information-on-ALOS-AVNIR-2-PRISM-Products-for-ADEN-users.pdf , in addition to worldwide data requested by European scientists. The ADEN zone was the area belonging to the European Data node and covered both the European and African continents, a large part of Greenland and the Middle East. The full mission archive is included in this collection, though with gaps in spatial coverage outside of the; with respect to the L1B collection, only scenes acquired in sensor mode, with Cloud Coverage score lower than 70% and a sea percentage lower than 80% are published: • Time window: from 2006-08-01 to 2011-03-31 • Orbits: from 2768 to 27604 • Path (corresponds to JAXA track number): from 1 to 665 • Row (corresponds to JAXA scene centre frame number): from 310 to 6790. The L1C processing strongly improve accuracy compared to L1B1 from several tenths of meters in L1B1 (~40 m of northing geolocation error for Forward views and ~10-20 m for easting errors) to some meters in L1C scenes (< 10 m both in north and easting errors). The collection is composed by only PSM_OB1_1C EO-SIP product type, with PRISM sensor operating in OB1 mode and having the three views (Nadir, Forward and Backward) at 35km width. The most part of the products contains all the three views, but the Nadir view is always available and is used for the frame number identification. All views are packaged together; each view, in CEOS format, is stored in a directory named according to the JAXA view ID naming convention." proprietary
+alos-prism-l1c_8.0 ALOS PRISM L1C ESA STAC Catalog 2006-08-01 2011-03-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2619280661-ESA.umm_json "This collection provides access to the ALOS-1 PRISM (Panchromatic Remote-sensing Instrument for Stereo Mapping) OB1 L1C data acquired by ESA stations (Kiruna, Maspalomas, Matera, Tromsoe) in the _$$ADEN zone$$ https://earth.esa.int/eogateway/documents/20142/37627/Information-on-ALOS-AVNIR-2-PRISM-Products-for-ADEN-users.pdf , in addition to worldwide data requested by European scientists. The ADEN zone was the area belonging to the European Data node and covered both the European and African continents, a large part of Greenland and the Middle East. The full mission archive is included in this collection, though with gaps in spatial coverage outside of the; with respect to the L1B collection, only scenes acquired in sensor mode, with Cloud Coverage score lower than 70% and a sea percentage lower than 80% are published: • Time window: from 2006-08-01 to 2011-03-31 • Orbits: from 2768 to 27604 • Path (corresponds to JAXA track number): from 1 to 665 • Row (corresponds to JAXA scene centre frame number): from 310 to 6790. The L1C processing strongly improve accuracy compared to L1B1 from several tenths of meters in L1B1 (~40 m of northing geolocation error for Forward views and ~10-20 m for easting errors) to some meters in L1C scenes (< 10 m both in north and easting errors). The collection is composed by only PSM_OB1_1C EO-SIP product type, with PRISM sensor operating in OB1 mode and having the three views (Nadir, Forward and Backward) at 35km width. The most part of the products contains all the three views, but the Nadir view is always available and is used for the frame number identification. All views are packaged together; each view, in CEOS format, is stored in a directory named according to the JAXA view ID naming convention." proprietary
+alos.prism.l1c.european.coverage.cloud.free_12.0 ALOS PRISM L1C European Coverage Cloud Free ESA STAC Catalog 2007-03-26 2011-03-31 -25, 27, 46, 72 https://cmr.earthdata.nasa.gov/search/concepts/C3325394222-ESA.umm_json This collection is composed of a subset of ALOS-1 PRISM (Panchromatic Remote-sensing Instrument for Stereo Mapping) OB1 L1C products from the _$$ALOS PRISM L1C collection$$ https://earth.esa.int/eogateway/catalog/alos-prism-l1c (DOI: 10.57780/AL1-ff3877f) which have been chosen so as to provide a cloud-free coverage over Europe. 70% of the scenes contained within the collection have a cloud cover percentage of 0%, while the remaining 30% of the scenes have a cloud cover percentage of no more than 20%. The collection is composed of PSM_OB1_1C EO-SIP products, with the PRISM sensor operating in OB1 mode with three views (Nadir, Forward and Backward) at 35 km width. proprietary
alpine3d-simulations-of-future-climate-scenarios-for-graubunden_1.0 Alpine3D simulations of future climate scenarios for Graubunden ENVIDAT STAC Catalog 2019-01-01 2019-01-01 8.6737061, 46.2216525, 10.6347656, 47.1075228 https://cmr.earthdata.nasa.gov/search/concepts/C2789814545-ENVIDAT.umm_json "This is the simulation dataset from _""Response of snow cover and runoff to climate change in high Alpine catchments of Eastern Switzerland""_, M. Bavay, T. Grünewald, M. Lehning, Advances in Water Resources __55__, 4-16, 2013 A model study on the impact of climate change on snow cover and runoff has been conducted for the Swiss Canton of Graubünden. The model Alpine3D has been forced with the data from 35 Automatic Weather Stations in order to investigate snow and runoff dynamics for the current climate. The data set has then been modified to reflect climate change as predicted for the 2021-2050 and 2070-2095 periods from an ensemble of regional climate models. The predicted changes in snow cover will be moderate for 2021-2050 and become drastic in the second half of the century. Towards the end of the century the snow cover changes will roughly be equivalent to an elevation shift of 800 m. Seasonal snow water equivalents will decrease by one to two thirds and snow seasons will be shortened by five to nine weeks in 2095. Small, higher elevation catchments will show more winter runoff, earlier spring melt peaks and reduced summer runoff. Where glacierized areas exist, the transitional increase in glacier melt will initially offset losses from snow melt. Larger catchments, which reach lower elevations will show much smaller changes since they are already dominated by summer precipitation." proprietary
als-based-snow-depth_1.0 ALS-based snow depth and canopy height maps from flights in 2017 (Grisons, CH and Grand Mesa, CO) ENVIDAT STAC Catalog 2019-01-01 2019-01-01 9.8683834, 46.829474, 9.8683834, 46.829474 https://cmr.earthdata.nasa.gov/search/concepts/C2789814552-ENVIDAT.umm_json This dataset includes snow depth, canopy height and terrain elevation maps of forest stands in the Grisons (CH) and at Grand Mesa (CO,USA) derived from airborne lidar. Data were acquired i) within a pilot mission of NASA's Airborne Snow Observatory in the Swiss Alps in March 2017 and ii) during NASA’s SnowEx campaign at Grand Mesa in February 2017. Snow depth maps are available for two dates separated by approx.1 week, and include an area of ca. 0.5km2 for each of the three sites Davos, Engadine and Grand Mesa. All data were presented and analyzed in the publication 'Revisiting Snow Cover Variability and Canopy Structure within Forest Stands: Insights from Airborne Lidar Data' (Mazzotti et al., 2019, WRR, doi: 10.1029/2019WR024898). This publication must be cited when using this dataset. __Paper Citation:__ > _Giulia Mazzotti; William Ryan Currier; Jeffrey S. Deems; Justin M. Pflug; Jessica D. Lundquist; Tobias Jonas (2019). Revisiting Snow Cover Variability and Canopy Structure Within Forest Stands: Insights From Airborne Lidar Data. Water Resources Research, 55, 6198– 6216, [doi: 10.1029/2019WR024898](https://doi.org/10.1029/2019WR024898)._ proprietary
amanda_bay_sat_1 Amanda Bay Satellite Image Map 1:100 000 AU_AADC STAC Catalog 1991-12-01 1991-12-31 75, -70, 78, -69 https://cmr.earthdata.nasa.gov/search/concepts/C1214311750-AU_AADC.umm_json Satellite image map of Amanda Bay, Antarctica. This map was produced for the Australian Antarctic Division by AUSLIG (now Geoscience Australia) Commercial, in Australia, in 1991. The map is at a scale of 1:100 000, and was produced from Landsat 4 TM imagery (124-108, 124-109). It is projected on a Transverse Mercator projection, and shows traverses/routes/foot track charts, glaciers/ice shelves, penguin colonies, stations/bases, runways/helipads, and gives some historical text information. The map has both geographical and UTM co-ordinates. proprietary
@@ -18150,6 +18170,7 @@ knp_fire_maps_756_1 SAFARI 2000 Historical Fire Maps, Kruger National Park, 1992
knp_fire_residue_751_1 SAFARI 2000 Reflectance of Fire Residue, Kruger National Park, Dry Season 2000 ORNL_CLOUD STAC Catalog 2000-08-14 2000-08-14 21.83, -25.75, 22.33, -24.16 https://cmr.earthdata.nasa.gov/search/concepts/C2789022996-ORNL_CLOUD.umm_json The goal of this study was to understand the change in reflectance caused by the action of fire and the heterogeneity of fire effects (i.e., the fraction of the observation that burned and the combustion completeness of that observation). A spectral mixture model and field and satellite observations were used to compare changes in Landsat reflectance associated with fire and combustion completeness derived from field measurements at prescribed fire sites in South Africa and to substantiate and illustrate the model findings. The data are stored in a single ASCII file in comma-separate-value format (.csv). proprietary
knp_met_761_1 SAFARI 2000 Meteorological Tower Measurements, Kruger National Park, 2000-2002 ORNL_CLOUD STAC Catalog 2000-02-15 2002-12-31 31.5, -25.02, 31.5, -25.02 https://cmr.earthdata.nasa.gov/search/concepts/C2789041646-ORNL_CLOUD.umm_json An eddy covariance system mounted on a tower near the Skukuza Camp in Kruger National Park, South Africa, has been operating continuously since early 2000. Meteorological measurements started in February 2000, and the first flux measurements were made in April 2000. The site is unique in that the micrometeorological instruments are positioned on a tower located between two distinct savanna types, a broad-leafed Combretum savanna and a fine-leafed Acacia savanna. Measurements on the main eddy covariance tower include net ecosystem exchange of CO2, water, and energy, and measurements of a range of meteorological variables with 30-minute averaging period. proprietary
kokximpacts_1 KOKX NEXRAD IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-01 2020-03-01 -78.3285, 36.7356, -67.3994, 44.9961 https://cmr.earthdata.nasa.gov/search/concepts/C2020260938-GHRC_DAAC.umm_json The KOKX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary
+kompsat.1.coverage.of.50.european.cities_10.0 KOMPSAT-1 Coverage of 50 European Cities ESA STAC Catalog 2000-03-06 2004-08-06 -19, -26, 35, 66 https://cmr.earthdata.nasa.gov/search/concepts/C3325394131-ESA.umm_json Available as a single coverage collection of data over 50 European Cities acquired by KOMPSAT-1’s Electro-Optical Camera (EOC) geolocated and orthorectified. The dataset is composed by PAN imagery at 6.6 m GSD, in GeoTIFF orthorectified format. proprietary
kpbzimpacts_1 KPBZ NEXRAD IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-01 2020-03-01 -85.6552, 36.4018, -74.7808, 44.6616 https://cmr.earthdata.nasa.gov/search/concepts/C2020261956-GHRC_DAAC.umm_json The KPBZ NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary
kraximpacts_1 KRAX NEXRAD IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-01 2020-03-01 -83.577, 31.5343, -73.4025, 39.7968 https://cmr.earthdata.nasa.gov/search/concepts/C2020262679-GHRC_DAAC.umm_json The KRAX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary
krill_risk_maps_1 Code, data and results used to fit growth rates of Antarctic krill under experimental CO2 manipulation AU_AADC STAC Catalog 2009-01-01 2012-12-31 -180, -80, 180, -40 https://cmr.earthdata.nasa.gov/search/concepts/C1214313529-AU_AADC.umm_json The embryonic development of Antarctic krill (Euphausia superba) is sensitive to elevated seawater CO2 levels. This data set provides the experimental data and WinBUGS code used to estimate hatch rates under experimental CO2 manipulation, as described by Kawaguchi et al. (2013). Kawaguchi S, Ishida A, King R, Raymond B, Waller N, Constable A, Nicol S, Wakita M, Ishimatsu A (2013) Risk maps for Antarctic krill under projected Southern Ocean acidification. Nature Climate Change (in press) Circumpolar pCO2 projection. To estimate oceanic pCO2 under the future CO2 elevated condition, we computed oceanic pCO2 using a three-dimensional ocean carbon cycle model developed for the Ocean Carbon-Cycle Model Intercomparison Project (2,3) and the projected atmospheric CO2 concentrations. The model used, referred to as the Institute for Global Change Research model in the Ocean Carbon-Cycle Model Intercomparison Project, was developed on the basis of that used in ref. 4 for the study of vertical fluxes of particulate organic matter and calcite. It is an offline carbon cycle model using physical variables such as advection and diffusion that are given by the general circulation model. The model was forced by the following four atmospheric CO2 emission scenarios and their extensions to year 2300. RCP8.5: high emission without any specific climate mitigation target; RCP6.0: medium-high emission; RCP 4.5: medium-low emission; and RCP 3.0-PD: low emission (1). Simulated perturbations in dissolved inorganic carbon relative to 1994 (the Global Ocean Data Analysis Project (GLODAP) reference year) were added to the modern dissolved inorganic carbon data in the GLODAP dataset (5). To estimate oceanic pCO2, temperature and salinity from the World Ocean Atlas data set (6) and alkalinity from the GLODAP data set were assumed to be constant. Marine ecosystems of the Southern Ocean are particularly vulnerable to ocean acidification. Antarctic krill (Euphausia superba; hereafter krill) is the key pelagic species of the region and its largest fishery resource. There is therefore concern about the combined effects of climate change, ocean acidification and an expanding fishery on krill and ultimately, their dependent predators—whales, seals and penguins. However, little is known about the sensitivity of krill to ocean acidification. Juvenile and adult krill are already exposed to variable seawater carbonate chemistry because they occupy a range of habitats and migrate both vertically and horizontally on a daily and seasonal basis. Moreover, krill eggs sink from the surface to hatch at 700–1,000m, where the carbon dioxide partial pressure (pCO2 ) in sea water is already greater than it is in the atmosphere. Krill eggs sink passively and so cannot avoid these conditions. Here we describe the sensitivity of krill egg hatch rates to increased CO2, and present a circumpolar risk map of krill hatching success under projected pCO2 levels. We find that important krill habitats of the Weddell Sea and the Haakon VII Sea to the east are likely to become high-risk areas for krill recruitment within a century. Furthermore, unless CO2 emissions are mitigated, the Southern Ocean krill population could collapse by 2300 with dire consequences for the entire ecosystem. The risk_maps folder contains the modelled risk maps for each of the climate change scenarios (i.e. Figure 4 in the main paper, and Figure S2 in the supplementary information). These are in ESRI gridded ASCII format, on a longitude-latitude grid with 1-degree resolution. Refs: 1. Meinshausen, M. et al. The RCP greenhouse gas concentrations and their extensions from 1765 to 2300. Climatic Change 109, 213-241 (2011). 2. Orr, J. C. et al. Anthropogenic ocean acidification over the twenty-first century and its impact on calcifying organisms. Nature 437, 681-686 (2005). 3. Cao, L. et al. The role of ocean transport in the uptake of anthropogenic CO2. Biogeosciences 6, 375-390 (2009). 4. Yamanaka, Y. and Tajika, E. The role of the vertical fluxes of particulate organic matter and calcite in the oceanic carbon cycle: Studies using an ocean biogeochemical general circulation model. Glob. Biogeochem. Cycles 10, 361-382 (1996). 5. Key, R. M. et al. A global ocean carbon climatology: Results from Global Data Analysis Project (GLODAP). Glob. Biogeochem. Cycles 18, GB4031 (2004). 6. Conkright, M. E. et al. World Ocean Atlas 2001: Objective Analyses, Data Statistics, and Figures CD-ROM Documentation (National Oceanographic Data Center, 2002). proprietary