From 61e9ef7be570c4d6155d31411160ecfe4007f08b Mon Sep 17 00:00:00 2001 From: GitHub Action Date: Fri, 22 Sep 2023 04:57:22 +0000 Subject: [PATCH] Updated datasets 2023-09-22 UTC --- aws_geo_datasets.json | 2 +- aws_geo_datasets.tsv | 2 +- aws_open_datasets.json | 2 +- aws_open_datasets.tsv | 2 +- gee_catalog.json | 168 +- gee_catalog.tsv | 168 +- nasa_cmr_catalog.json | 6683 +++------------------------------------- nasa_cmr_catalog.tsv | 451 --- stac_catalogs.json | 13 + stac_catalogs.tsv | 1 + 10 files changed, 596 insertions(+), 6896 deletions(-) diff --git a/aws_geo_datasets.json b/aws_geo_datasets.json index 166ba5f..f8b48b9 100644 --- a/aws_geo_datasets.json +++ b/aws_geo_datasets.json @@ -2461,7 +2461,7 @@ "ARN": "arn:aws:s3:::wrf-ak-ar5", "Region": "us-east-1", "Type": "S3 Bucket", - "Documentation": "http://ckan.snap.uaf.edu/dataset/historical-and-projected-dynamically-downscaled", + "Documentation": "https://catalog.snap.uaf.edu/geonetwork/srv/eng/catalog.search#/metadata/7825535", "Contact": "http://directory.iarc.uaf.edu/peter-bieniek", "ManagedBy": "Scenarios Network for Alaska + Arctic Planning at the International Arctic Resea", "UpdateFrequency": "as needed", diff --git a/aws_geo_datasets.tsv b/aws_geo_datasets.tsv index 1fea7b1..347b117 100644 --- a/aws_geo_datasets.tsv +++ b/aws_geo_datasets.tsv @@ -135,7 +135,7 @@ Digital Earth Africa Water Observations from Space - Water Observations from Spa Digital Earth Africa Water Observations from Space - Water Observations from Space data Water Observations from Space data arn:aws:s3:::deafrica-services/wofs_ls af-south-1 S3 Bucket https://docs.digitalearthafrica.org/en/latest/data_specs/Landsat_WOfS_specs.html helpdesk@digitalearthafrica.org [Digital Earth Africa](https://www.digitalearthafrica.org/) New scene-level data is added as new Landsat data is available. New summaries ar DE Africa makes this data available under the Creative Commons Attribute 4.0 lic aws-pds, agriculture, disaster response, earth observation, geospatial, natural resource, satellite imagery, water, deafrica, stac, cog False ['[STAC V1.0.0 endpoint](https://explorer.digitalearth.africa/stac/collections/wofs_ls)'] District of Columbia - Classified Point Cloud LiDAR - LAS, XML LAS, XML arn:aws:s3:::dc-lidar-2018 us-east-1 S3 Bucket [2015 data](https://github.com/awslabs/open-data-docs/tree/main/docs/dc-lidar-20 dcgis@dc.gov [Washington DC government](https://dc.gov/) The most recent data is from 2018 and 2015 data is available as well. A new data See Washington, DC [Terms of Use](https://dc.gov/page/terms-and-conditions-use) aws-pds, geospatial, cities, us-dc, disaster response ['[Browse Bucket](https://dc-lidar-2018.s3.amazonaws.com/index.html)'] District of Columbia - Classified Point Cloud LiDAR - LAS, XML, SHP LAS, XML, SHP arn:aws:s3:::dc-lidar-2015 us-east-1 S3 Bucket [2015 data](https://github.com/awslabs/open-data-docs/tree/main/docs/dc-lidar-20 dcgis@dc.gov [Washington DC government](https://dc.gov/) The most recent data is from 2018 and 2015 data is available as well. A new data See Washington, DC [Terms of Use](https://dc.gov/page/terms-and-conditions-use) aws-pds, geospatial, cities, us-dc, disaster response ['[Browse Bucket](https://dc-lidar-2015.s3.amazonaws.com/index.html)'] -Downscaled Climate Data for Alaska Dynamically downscaled climate data for Alaska and surrounding regions arn:aws:s3:::wrf-ak-ar5 us-east-1 S3 Bucket http://ckan.snap.uaf.edu/dataset/historical-and-projected-dynamically-downscaled http://directory.iarc.uaf.edu/peter-bieniek Scenarios Network for Alaska + Arctic Planning at the International Arctic Resea as needed https://creativecommons.org/licenses/by/4.0/ aws-pds, agriculture, climate, coastal, earth observation, environmental, weather, aws-pds, sustainability ['[Browse Bucket](http://wrf-ak-ar5.s3-website-us-east-1.amazonaws.com/)'] +Downscaled Climate Data for Alaska Dynamically downscaled climate data for Alaska and surrounding regions arn:aws:s3:::wrf-ak-ar5 us-east-1 S3 Bucket https://catalog.snap.uaf.edu/geonetwork/srv/eng/catalog.search#/metadata/7825535 http://directory.iarc.uaf.edu/peter-bieniek Scenarios Network for Alaska + Arctic Planning at the International Arctic Resea as needed https://creativecommons.org/licenses/by/4.0/ aws-pds, agriculture, climate, coastal, earth observation, environmental, weather, aws-pds, sustainability ['[Browse Bucket](http://wrf-ak-ar5.s3-website-us-east-1.amazonaws.com/)'] ECMWF ERA5 Reanalysis ERA5 Reanalysis NetCDF 4 files arn:aws:s3:::era5-pds us-east-1 S3 Bucket https://github.com/planet-os/notebooks/blob/master/aws/era5-pds.md etoodu@intertrust.com [Intertrust](https://www.intertrust.com/) Monthly Generated using Copernicus Climate Change Service Information 2018. See http://a aws-pds, agriculture, climate, earth observation, meteorological, weather ECMWF real-time forecasts Access ECMWF's open-data for real-time forecasts arn:aws:s3:::ecmwf-forecasts eu-central-1 S3 Bucket [User Documentation](https://confluence.ecmwf.int/display/DAC/ECMWF+open+data%3A https://confluence.ecmwf.int/site/support [European Centre for Medium-Range Weather Forecasts](https://www.ecmwf.int/) The data are released 1 hour after the [real-time dissemination schedule](https: This ECMWF data is published under a Creative Commons Attribution 4.0 Internatio air temperature, atmosphere, meteorological, near-surface air temperature, near-surface relative humidity, near-surface specific humidity, precipitation, weather EPA Risk-Screening Environmental Indicators RSEI Microdata arn:aws:s3:::epa-rsei-pds us-east-1 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/epa-rsei-pds https://www.epa.gov/rsei/forms/contact-us-about-rsei-model [Environmental Protection Agency](https://www.epa.gov/rsei/) Updated infrequently US Government work aws-pds, environmental ['[Browse Bucket](https://epa-rsei-pds.s3.amazonaws.com/index.html)'] diff --git a/aws_open_datasets.json b/aws_open_datasets.json index a06bb17..3e946d8 100644 --- a/aws_open_datasets.json +++ b/aws_open_datasets.json @@ -16257,7 +16257,7 @@ "Region": "eu-west-1", "Type": "S3 Bucket", "Documentation": "https://github.com/live-eo/sentinel1-slc/", - "Contact": "For any enquires regarding the dataset, please email laxmi@live-eo.com and nicol", + "Contact": "For any enquires regarding the dataset, please email OpenData at Live-EO opendat", "ManagedBy": "[LiveEO](https://live-eo.com/)", "UpdateFrequency": "New Sentinel1-SLC IW data are updated regularly in an interval of 6 days, after ", "License": "The data usage will inherit and fully comply with the free and open data policy ", diff --git a/aws_open_datasets.tsv b/aws_open_datasets.tsv index 1b817c1..28c7cce 100644 --- a/aws_open_datasets.tsv +++ b/aws_open_datasets.tsv @@ -861,7 +861,7 @@ Sentinel Near Real-time Canada Mirror NRT Sentinel data in an S3 bucket broken d Sentinel-1 - GRD in a Requester Pays S3 bucket GRD in a Requester Pays S3 bucket arn:aws:s3:::sentinel-s1-l1c eu-central-1 S3 Bucket https://roda.sentinel-hub.com/sentinel-s1-l1c/GRD/readme.html https://forum.sentinel-hub.com/c/aws-sentinel [Sinergise](https://www.sinergise.com/) New Sentinel data are added regularly, usually within few hours after they are a Access to Sentinel data is free, full and open for the broad Regional, National, aws-pds, agriculture, earth observation, satellite imagery, geospatial, disaster response, cog, synthetic aperture radar ['[STAC V1.0.0 endpoint](https://sentinel-s1-l1c-stac.s3.amazonaws.com/)'] True Sentinel-1 - S3 Inventory files for L1C and CSV S3 Inventory files for L1C and CSV arn:aws:s3:::sentinel-inventory/ eu-central-1 S3 Bucket https://roda.sentinel-hub.com/sentinel-s1-l1c/GRD/readme.html https://forum.sentinel-hub.com/c/aws-sentinel [Sinergise](https://www.sinergise.com/) New Sentinel data are added regularly, usually within few hours after they are a Access to Sentinel data is free, full and open for the broad Regional, National, aws-pds, agriculture, earth observation, satellite imagery, geospatial, disaster response, cog, synthetic aperture radar Sentinel-1 - SNS topic for notification of new scenes, can subscribe with Lambda SNS topic for notification of new scenes, can subscribe with Lambda arn:aws:sns:eu-central-1:214830741341:SentinelS1L1C eu-central-1 SNS Topic https://roda.sentinel-hub.com/sentinel-s1-l1c/GRD/readme.html https://forum.sentinel-hub.com/c/aws-sentinel [Sinergise](https://www.sinergise.com/) New Sentinel data are added regularly, usually within few hours after they are a Access to Sentinel data is free, full and open for the broad Regional, National, aws-pds, agriculture, earth observation, satellite imagery, geospatial, disaster response, cog, synthetic aperture radar -Sentinel-1 SLC dataset for Germany Public access to Sentinel-1 SLC IW scenes over Germany arn:aws:s3:::sentinel1-slc eu-west-1 S3 Bucket https://github.com/live-eo/sentinel1-slc/ For any enquires regarding the dataset, please email laxmi@live-eo.com and nicol [LiveEO](https://live-eo.com/) New Sentinel1-SLC IW data are updated regularly in an interval of 6 days, after The data usage will inherit and fully comply with the free and open data policy aws-pds, disaster response, satellite imagery, geospatial, sustainability, earth observation, environmental, synthetic aperture radar +Sentinel-1 SLC dataset for Germany Public access to Sentinel-1 SLC IW scenes over Germany arn:aws:s3:::sentinel1-slc eu-west-1 S3 Bucket https://github.com/live-eo/sentinel1-slc/ For any enquires regarding the dataset, please email OpenData at Live-EO opendat [LiveEO](https://live-eo.com/) New Sentinel1-SLC IW data are updated regularly in an interval of 6 days, after The data usage will inherit and fully comply with the free and open data policy aws-pds, disaster response, satellite imagery, geospatial, sustainability, earth observation, environmental, synthetic aperture radar Sentinel-1 SLC dataset for South and Southeast Asia, Taiwan, Korea and Japan Public access to Sentinel-1 SLC IW scenes over South and Southeast Asia, Taiwan arn:aws:s3:::sentinel1-slc-seasia-pds ap-southeast-1 S3 Bucket https://github.com/earthobservatory/sentinel1-opds/ For any enquires regarding data delivery, please email ehill@ntu.edu.sg and stch [Earth Observatory of Singapore, Nanyang Technological University](https://earth S1 SLC data for the region of interest will be updated regularly, as it becomes The data usage will inherit and fully comply with the free and open data policy aws-pds, disaster response, satellite imagery, geospatial, earth observation, environmental, synthetic aperture radar Sentinel-2 - Level 1C scenes and metadata, in Requester Pays S3 bucket Level 1C scenes and metadata, in Requester Pays S3 bucket arn:aws:s3:::sentinel-s2-l1c eu-central-1 S3 Bucket Documentation is available for [Sentinel-2 L1C](https://roda.sentinel-hub.com/se https://forum.sentinel-hub.com/c/aws-sentinel [Sinergise](https://www.sinergise.com/) New Sentinel data are added regularly, usually within few hours after they are a Access to Sentinel data is free, full and open for the broad Regional, National, aws-pds, agriculture, earth observation, satellite imagery, geospatial, natural resource, disaster response, stac ['[Earth Search STAC L1C Collection](https://earth-search.aws.element84.com/v1/collections/sentinel-2-l1c)', '[Earth Search STAC Browser L1C Collection](https://radiantearth.github.io/stac-browser/#/external/earth-search.aws.element84.com/v1/collections/sentinel-2-l1c)', '[STAC V1.0.0 endpoint](https://sentinel-s2-l1c-stac.s3.amazonaws.com/)'] True Sentinel-2 - Level 2A scenes and metadata, in Requester Pays S3 bucket Level 2A scenes and metadata, in Requester Pays S3 bucket arn:aws:s3:::sentinel-s2-l2a eu-central-1 S3 Bucket Documentation is available for [Sentinel-2 L1C](https://roda.sentinel-hub.com/se https://forum.sentinel-hub.com/c/aws-sentinel [Sinergise](https://www.sinergise.com/) New Sentinel data are added regularly, usually within few hours after they are a Access to Sentinel data is free, full and open for the broad Regional, National, aws-pds, agriculture, earth observation, satellite imagery, geospatial, natural resource, disaster response, stac ['[STAC V1.0.0 endpoint](https://sentinel-s2-l2a-stac.s3.amazonaws.com/)'] True diff --git a/gee_catalog.json b/gee_catalog.json index ff0937d..fad78ec 100644 --- a/gee_catalog.json +++ b/gee_catalog.json @@ -474,7 +474,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S1_GRD')", "provider": "European Union/ESA/Copernicus", "state_date": "2014-10-03", - "end_date": "2023-09-20", + "end_date": "2023-09-21", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "backscatter, copernicus, esa, eu, polarization, radar, sar, sentinel", @@ -492,7 +492,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S2')", "provider": "European Union/ESA/Copernicus", "state_date": "2015-06-23", - "end_date": "2023-09-20", + "end_date": "2023-09-21", "bbox": "-180, -56, 180, 83", "deprecated": false, "keywords": "copernicus, esa, eu, msi, radiance, sentinel", @@ -510,7 +510,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S2_CLOUD_PROBABILITY')", "provider": "European Union/ESA/Copernicus/SentinelHub", "state_date": "2015-06-23", - "end_date": "2023-09-20", + "end_date": "2023-09-21", "bbox": "-180, -56, 180, 83", "deprecated": false, "keywords": "cloud, copernicus, esa, eu, msi, radiance, sentinel, sentinelhub", @@ -528,7 +528,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S2_HARMONIZED')", "provider": "European Union/ESA/Copernicus", "state_date": "2015-06-23", - "end_date": "2023-09-20", + "end_date": "2023-09-21", "bbox": "-180, -56, 180, 83", "deprecated": false, "keywords": "copernicus, esa, eu, msi, radiance, sentinel", @@ -546,7 +546,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S2_SR')", "provider": "European Union/ESA/Copernicus", "state_date": "2017-03-28", - "end_date": "2023-09-20", + "end_date": "2023-09-21", "bbox": "-180, -56, 180, 83", "deprecated": false, "keywords": "copernicus, esa, eu, msi, reflectance, sentinel, sr", @@ -564,7 +564,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S2_SR_HARMONIZED')", "provider": "European Union/ESA/Copernicus", "state_date": "2017-03-28", - "end_date": "2023-09-20", + "end_date": "2023-09-21", "bbox": "-180, -56, 180, 83", "deprecated": false, "keywords": "copernicus, esa, eu, msi, reflectance, sentinel, sr", @@ -582,7 +582,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S3/OLCI')", "provider": "European Union/ESA/Copernicus", "state_date": "2016-10-18", - "end_date": "2023-09-19", + "end_date": "2023-09-20", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "copernicus, esa, eu, olci, radiance, sentinel, toa", @@ -600,7 +600,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_AER_AI')", "provider": "European Union/ESA/Copernicus", "state_date": "2018-07-10", - "end_date": "2023-09-19", + "end_date": "2023-09-21", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "aai, aerosol, air_quality, copernicus, esa, eu, knmi, pollution, s5p, sentinel, tropomi, uvai", @@ -618,7 +618,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_AER_LH')", "provider": "European Union/ESA/Copernicus", "state_date": "2018-07-10", - "end_date": "2023-09-19", + "end_date": "2023-09-21", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "aerosol, air_quality, alh, copernicus, esa, eu, knmi, pollution, s5p, sentinel, tropomi, uvai", @@ -636,7 +636,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_CLOUD')", "provider": "European Union/ESA/Copernicus", "state_date": "2018-07-05", - "end_date": "2023-09-19", + "end_date": "2023-09-21", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "climate, cloud, copernicus, dlr, esa, eu, s5p, sentinel, tropomi", @@ -654,7 +654,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_CO')", "provider": "European Union/ESA/Copernicus", "state_date": "2018-11-22", - "end_date": "2023-09-19", + "end_date": "2023-09-21", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "air_quality, carbon_monoxide, copernicus, esa, eu, knmi, pollution, s5p, sentinel, sron, tropomi", @@ -672,7 +672,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_HCHO')", "provider": "European Union/ESA/Copernicus", "state_date": "2018-10-02", - "end_date": "2023-09-19", + "end_date": "2023-09-21", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "air_quality, bira, copernicus, dlr, esa, eu, formaldehyde, hcho, pollution, s5p, sentinel, tropomi", @@ -690,7 +690,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_NO2')", "provider": "European Union/ESA/Copernicus", "state_date": "2018-07-10", - "end_date": "2023-09-19", + "end_date": "2023-09-21", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "air_quality, copernicus, esa, eu, knmi, nitrogen_dioxide, no2, pollution, s5p, sentinel, tropomi", @@ -708,7 +708,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_O3')", "provider": "European Union/ESA/Copernicus", "state_date": "2018-07-10", - "end_date": "2023-09-19", + "end_date": "2023-09-21", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "air_quality, copernicus, esa, eu, o3, ozone, pollution, s5p, sentinel, tropomi", @@ -726,7 +726,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_SO2')", "provider": "European Union/ESA/Copernicus", "state_date": "2018-07-10", - "end_date": "2023-09-19", + "end_date": "2023-09-20", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "air_quality, bira, copernicus, dlr, esa, eu, pollution, s5p, sentinel, so2, sulfur_dioxide, tropomi", @@ -744,7 +744,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_AER_AI')", "provider": "European Union/ESA/Copernicus", "state_date": "2018-07-04", - "end_date": "2023-09-17", + "end_date": "2023-09-19", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "aai, aerosol, air_quality, copernicus, esa, eu, knmi, pollution, s5p, sentinel, tropomi, uvai", @@ -762,7 +762,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_AER_LH')", "provider": "European Union/ESA/Copernicus", "state_date": "2018-07-04", - "end_date": "2023-09-17", + "end_date": "2023-09-19", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "aerosol, air_quality, alh, copernicus, esa, eu, knmi, pollution, s5p, sentinel, tropomi, uvai", @@ -780,7 +780,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_CH4')", "provider": "European Union/ESA/Copernicus", "state_date": "2019-02-08", - "end_date": "2023-09-17", + "end_date": "2023-09-19", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "climate, copernicus, esa, eu, knmi, methane, s5p, sentinel, sron, tropomi", @@ -798,7 +798,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_CLOUD')", "provider": "European Union/ESA/Copernicus", "state_date": "2018-07-04", - "end_date": "2023-09-17", + "end_date": "2023-09-19", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "climate, cloud, copernicus, dlr, esa, eu, s5p, sentinel, tropomi", @@ -816,7 +816,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_CO')", "provider": "European Union/ESA/Copernicus", "state_date": "2018-06-28", - "end_date": "2023-09-17", + "end_date": "2023-09-19", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "air_quality, carbon_monoxide, copernicus, esa, eu, knmi, pollution, s5p, sentinel, sron, tropomi", @@ -834,7 +834,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_HCHO')", "provider": "European Union/ESA/Copernicus", "state_date": "2018-12-05", - "end_date": "2023-09-17", + "end_date": "2023-09-19", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "air_quality, bira, copernicus, dlr, esa, eu, formaldehyde, hcho, pollution, s5p, sentinel, tropomi", @@ -852,7 +852,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_NO2')", "provider": "European Union/ESA/Copernicus", "state_date": "2018-06-28", - "end_date": "2023-09-10", + "end_date": "2023-09-12", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "air_quality, copernicus, esa, eu, knmi, nitrogen_dioxide, no2, pollution, s5p, sentinel, tropomi", @@ -870,7 +870,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_O3')", "provider": "European Union/ESA/Copernicus", "state_date": "2018-09-08", - "end_date": "2023-09-17", + "end_date": "2023-09-19", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "air_quality, copernicus, esa, eu, o3, ozone, pollution, s5p, sentinel, tropomi", @@ -888,7 +888,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_O3_TCL')", "provider": "European Union/ESA/Copernicus", "state_date": "2018-04-30", - "end_date": "2023-09-04", + "end_date": "2023-09-06", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "air_quality, copernicus, esa, eu, o3, ozone, pollution, s5p, sentinel, tropomi", @@ -906,7 +906,7 @@ "snippet": "ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_SO2')", "provider": "European Union/ESA/Copernicus", "state_date": "2018-12-05", - "end_date": "2023-09-17", + "end_date": "2023-09-19", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "air_quality, bira, copernicus, dlr, esa, eu, pollution, s5p, sentinel, so2, sulfur_dioxide, tropomi", @@ -1302,7 +1302,7 @@ "snippet": "ee.ImageCollection('ECMWF/CAMS/NRT')", "provider": "European Centre for Medium-Range Weather Forecasts (ECMWF)", "state_date": "2016-06-22", - "end_date": "2023-09-19", + "end_date": "2023-09-20", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "aerosol, atmosphere, climate, copernicus, ecmwf, forecast, particulate_matter", @@ -2220,7 +2220,7 @@ "snippet": "ee.ImageCollection('GOOGLE/DYNAMICWORLD/V1')", "provider": "World Resources Institute", "state_date": "2015-06-23", - "end_date": "2023-09-20", + "end_date": "2023-09-21", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "global, google, landcover, landuse, nrt, sentinel2_derived", @@ -2436,7 +2436,7 @@ "snippet": "ee.ImageCollection('IDAHO_EPSCOR/GRIDMET')", "provider": "University of California Merced", "state_date": "1979-01-01", - "end_date": "2023-09-17", + "end_date": "2023-09-18", "bbox": "-124.9, 24.9, -66.8, 49.6", "deprecated": false, "keywords": "climate, fireburning, gridmet, humidity, merced, metdata, nfdrs, precipitation, radiation, temperature, wind", @@ -3138,7 +3138,7 @@ "snippet": "ee.ImageCollection('JAXA/GCOM-C/L3/LAND/LAI/V3')", "provider": "Global Change Observation Mission (GCOM)", "state_date": "2021-11-29", - "end_date": "2023-09-18", + "end_date": "2023-09-19", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "climate, g_portal, gcom, gcom_c, jaxa, lai, land, leaf_area_index", @@ -3192,7 +3192,7 @@ "snippet": "ee.ImageCollection('JAXA/GCOM-C/L3/LAND/LST/V3')", "provider": "Global Change Observation Mission (GCOM)", "state_date": "2021-11-29", - "end_date": "2023-09-18", + "end_date": "2023-09-19", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "climate, g_portal, gcom, gcom_c, jaxa, land, land_surface_temperature, lst", @@ -3246,7 +3246,7 @@ "snippet": "ee.ImageCollection('JAXA/GCOM-C/L3/OCEAN/CHLA/V3')", "provider": "Global Change Observation Mission (GCOM)", "state_date": "2021-11-29", - "end_date": "2023-09-17", + "end_date": "2023-09-18", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "chla, chlorophyll_a, climate, g_portal, gcom, gcom_c, jaxa, ocean, ocean_color", @@ -3300,7 +3300,7 @@ "snippet": "ee.ImageCollection('JAXA/GCOM-C/L3/OCEAN/SST/V3')", "provider": "Global Change Observation Mission (GCOM)", "state_date": "2021-11-29", - "end_date": "2023-09-17", + "end_date": "2023-09-18", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "climate, g_portal, gcom, gcom_c, jaxa, ocean, sea_surface_temperature, sst", @@ -5082,7 +5082,7 @@ "snippet": "ee.ImageCollection('LANDSAT/LC08/C02/T1_RT')", "provider": "USGS", "state_date": "2013-03-18", - "end_date": "2023-09-20", + "end_date": "2023-09-21", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "c2, global, l8, landsat, lc8, nrt, oli_tirs, radiance, rt, t1, tier1, usgs", @@ -5100,7 +5100,7 @@ "snippet": "ee.ImageCollection('LANDSAT/LC08/C02/T1_RT_TOA')", "provider": "USGS/Google", "state_date": "2013-03-18", - "end_date": "2023-09-20", + "end_date": "2023-09-21", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "c2, global, l8, landsat, lc8, toa, usgs", @@ -5190,7 +5190,7 @@ "snippet": "ee.ImageCollection('LANDSAT/LC09/C02/T1')", "provider": "USGS", "state_date": "2021-10-31", - "end_date": "2023-09-20", + "end_date": "2023-09-21", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "c2, global, l9, landsat, lc9, oli_tirs, radiance, t1, tier1, usgs", @@ -5208,7 +5208,7 @@ "snippet": "ee.ImageCollection('LANDSAT/LC09/C02/T1_L2')", "provider": "USGS", "state_date": "2021-10-31", - "end_date": "2023-09-18", + "end_date": "2023-09-19", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "cfmask, cloud, fmask, global, l9sr, landsat, lasrc, lc09, lst, reflectance, sr, usgs", @@ -5226,7 +5226,7 @@ "snippet": "ee.ImageCollection('LANDSAT/LC09/C02/T1_TOA')", "provider": "USGS/Google", "state_date": "2021-10-31", - "end_date": "2023-09-20", + "end_date": "2023-09-21", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "c2, global, landsat, toa, usgs", @@ -5244,7 +5244,7 @@ "snippet": "ee.ImageCollection('LANDSAT/LC09/C02/T2')", "provider": "USGS", "state_date": "2021-11-02", - "end_date": "2023-09-20", + "end_date": "2023-09-21", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "c2, global, l9, landsat, lc9, oli_tirs, radiance, t2, tier2, usgs", @@ -5262,7 +5262,7 @@ "snippet": "ee.ImageCollection('LANDSAT/LC09/C02/T2_L2')", "provider": "USGS", "state_date": "2021-10-31", - "end_date": "2023-09-18", + "end_date": "2023-09-19", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "cfmask, cloud, fmask, global, l9sr, landsat, lasrc, lc09, lst, reflectance, sr, usgs", @@ -5280,7 +5280,7 @@ "snippet": "ee.ImageCollection('LANDSAT/LC09/C02/T2_TOA')", "provider": "USGS/Google", "state_date": "2021-11-02", - "end_date": "2023-09-20", + "end_date": "2023-09-21", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "c2, global, l9, landsat, lc9, toa, usgs", @@ -6396,7 +6396,7 @@ "snippet": "ee.ImageCollection('LANDSAT/LE07/C02/T1')", "provider": "USGS", "state_date": "1999-05-28", - "end_date": "2023-08-24", + "end_date": "2023-08-25", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "c2, etm, global, l7, landsat, le7, radiance, t1, tier1, usgs", @@ -6414,7 +6414,7 @@ "snippet": "ee.ImageCollection('LANDSAT/LE07/C02/T1_L2')", "provider": "USGS", "state_date": "1999-05-28", - "end_date": "2023-08-24", + "end_date": "2023-08-25", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "cfmask, cloud, etm, fmask, global, landsat, lasrc, le07, lst, reflectance, sr, usgs", @@ -6432,7 +6432,7 @@ "snippet": "ee.ImageCollection('LANDSAT/LE07/C02/T1_RT')", "provider": "USGS", "state_date": "1999-05-28", - "end_date": "2023-09-19", + "end_date": "2023-09-21", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "c2, etm, global, l7, landsat, le7, nrt, radiance, rt, t1, tier1, usgs", @@ -6450,7 +6450,7 @@ "snippet": "ee.ImageCollection('LANDSAT/LE07/C02/T1_RT_TOA')", "provider": "USGS/Google", "state_date": "1999-05-28", - "end_date": "2023-09-19", + "end_date": "2023-09-21", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "c2, global, landsat, toa, usgs", @@ -6468,7 +6468,7 @@ "snippet": "ee.ImageCollection('LANDSAT/LE07/C02/T1_TOA')", "provider": "USGS/Google", "state_date": "1999-05-28", - "end_date": "2023-08-24", + "end_date": "2023-08-25", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "c2, global, landsat, toa, usgs", @@ -6504,7 +6504,7 @@ "snippet": "ee.ImageCollection('LANDSAT/LE07/C02/T2_L2')", "provider": "USGS", "state_date": "1999-05-28", - "end_date": "2023-08-24", + "end_date": "2023-08-25", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "cfmask, cloud, etm, fmask, global, landsat, lasrc, le07, lst, reflectance, sr, usgs", @@ -11310,7 +11310,7 @@ "snippet": "ee.ImageCollection('MODIS/061/MCD19A1_GRANULES')", "provider": "NASA LP DAAC at the USGS EROS Center", "state_date": "2000-12-21", - "end_date": "2003-06-30", + "end_date": "2003-10-11", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "aerosol, aod, aqua, daily, global, maiac, modis, nasa, terra, usgs", @@ -11688,7 +11688,7 @@ "snippet": "ee.ImageCollection('MODIS/061/MOD14A1')", "provider": "NASA LP DAAC at the USGS EROS Center", "state_date": "2000-02-24", - "end_date": "2023-09-05", + "end_date": "2023-09-13", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "daily, fire, global, mod14a1, modis, nasa, terra, usgs", @@ -13236,7 +13236,7 @@ "snippet": "ee.ImageCollection('NASA/FLDAS/NOAH01/C/GL/M/V001')", "provider": "NASA GES DISC at NASA Goddard Space Flight Center", "state_date": "1982-01-01", - "end_date": "2023-07-01", + "end_date": "2023-08-01", "bbox": "-180, -60, 180, 90", "deprecated": false, "keywords": "climate, evapotranspiration, famine, fldas, humidity, ldas, monthly, nasa, runoff, snow, soil_moisture, soil_temperature, temperature, wind", @@ -13272,7 +13272,7 @@ "snippet": "ee.ImageCollection('NASA/GEOS-CF/v1/fcst/htf')", "provider": "NASA / GMAO", "state_date": "2022-10-01", - "end_date": "2023-09-18", + "end_date": "2023-09-20", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "composition, forecast, geos, gmao, nasa", @@ -13290,7 +13290,7 @@ "snippet": "ee.ImageCollection('NASA/GEOS-CF/v1/fcst/tavg1hr')", "provider": "NASA / GMAO", "state_date": "2022-10-01", - "end_date": "2023-09-18", + "end_date": "2023-09-19", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "composition, forecast, geos, gmao, nasa", @@ -13308,7 +13308,7 @@ "snippet": "ee.ImageCollection('NASA/GEOS-CF/v1/rpl/htf')", "provider": "NASA / GMAO", "state_date": "2018-01-01", - "end_date": "2023-09-18", + "end_date": "2023-09-20", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "composition, forecast, geos, gmao, nasa", @@ -13326,7 +13326,7 @@ "snippet": "ee.ImageCollection('NASA/GEOS-CF/v1/rpl/tavg1hr')", "provider": "NASA / GMAO", "state_date": "2018-01-01", - "end_date": "2023-09-18", + "end_date": "2023-09-19", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "composition, forecast, geos, gmao, nasa", @@ -13434,7 +13434,7 @@ "snippet": "ee.ImageCollection('NASA/GPM_L3/IMERG_V06')", "provider": "NASA GES DISC at NASA Goddard Space Flight Center", "state_date": "2000-06-01", - "end_date": "2023-09-19", + "end_date": "2023-09-21", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "climate, geophysical, gpm, half_hourly, imerg, jaxa, nasa, precipitation, weather", @@ -13542,7 +13542,7 @@ "snippet": "ee.ImageCollection('NASA/GSFC/MERRA/aer/2')", "provider": "NASA/MERRA", "state_date": "1980-01-01", - "end_date": "2023-08-01", + "end_date": "2023-08-30", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "aer, aerosol, carbon, dust, mass, merra, nasa, sea_salt, so2, so4", @@ -13560,7 +13560,7 @@ "snippet": "ee.ImageCollection('NASA/GSFC/MERRA/flx/2')", "provider": "NASA/MERRA", "state_date": "1980-01-01", - "end_date": "2023-08-01", + "end_date": "2023-09-01", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "merra, sea_salt, so2, so4, soil_moisture", @@ -13578,7 +13578,7 @@ "snippet": "ee.ImageCollection('NASA/GSFC/MERRA/lnd/2')", "provider": "NASA/MERRA", "state_date": "1980-01-01", - "end_date": "2023-08-01", + "end_date": "2023-09-01", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "evaporation, ice, merra, temperature", @@ -13596,7 +13596,7 @@ "snippet": "ee.ImageCollection('NASA/GSFC/MERRA/rad/2')", "provider": "NASA/MERRA", "state_date": "1980-01-01", - "end_date": "2023-08-01", + "end_date": "2023-09-01", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "albedo, emissivity, merra, shortwave, temperature", @@ -13614,7 +13614,7 @@ "snippet": "ee.ImageCollection('NASA/GSFC/MERRA/slv/2')", "provider": "NASA/MERRA", "state_date": "1980-01-01", - "end_date": "2023-08-01", + "end_date": "2023-09-01", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "condensation, humidity, merra, nasa, omega, pressure, slv, temperature, vapor, water, wind", @@ -13740,7 +13740,7 @@ "snippet": "ee.ImageCollection('NASA/NLDAS/FORA0125_H002')", "provider": "NASA GES DISC at NASA Goddard Space Flight Center", "state_date": "1979-01-01", - "end_date": "2023-09-16", + "end_date": "2023-09-18", "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", @@ -13866,7 +13866,7 @@ "snippet": "ee.ImageCollection('NASA/SMAP/SPL3SMP_E/005')", "provider": "Google and NSIDC", "state_date": "2015-03-31", - "end_date": "2023-09-17", + "end_date": "2023-09-18", "bbox": "-180, -84, 180, 84", "deprecated": false, "keywords": "drought, nasa, smap, soil_moisture, surface, weather", @@ -13884,7 +13884,7 @@ "snippet": "ee.ImageCollection('NASA/SMAP/SPL4SMGP/007')", "provider": "Google and NSIDC", "state_date": "2015-03-31", - "end_date": "2023-09-16", + "end_date": "2023-09-17", "bbox": "-180, -84, 180, 84", "deprecated": false, "keywords": "drought, nasa, smap, soil_moisture, surface, weather", @@ -13956,7 +13956,7 @@ "snippet": "ee.ImageCollection('NCEP_RE/sea_level_pressure')", "provider": "NCEP", "state_date": "1948-01-01", - "end_date": "2023-09-16", + "end_date": "2023-09-17", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "atmosphere, climate, geophysical, ncep, noaa, pressure, reanalysis", @@ -13974,7 +13974,7 @@ "snippet": "ee.ImageCollection('NCEP_RE/surface_temp')", "provider": "NCEP", "state_date": "1948-01-01", - "end_date": "2023-09-16", + "end_date": "2023-09-17", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "atmosphere, climate, geophysical, ncep, noaa, reanalysis, temperature", @@ -13992,7 +13992,7 @@ "snippet": "ee.ImageCollection('NCEP_RE/surface_wv')", "provider": "NCEP", "state_date": "1948-01-01", - "end_date": "2023-09-16", + "end_date": "2023-09-17", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "atmosphere, climate, geophysical, ncep, noaa, precipitable, reanalysis, vapor", @@ -14208,7 +14208,7 @@ "snippet": "ee.ImageCollection('NOAA/CDR/OISST/V2_1')", "provider": "NOAA", "state_date": "1981-09-01", - "end_date": "2023-09-17", + "end_date": "2023-09-18", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "avhrr, cdr, daily, ice, noaa, ocean, oisst, real_time, sst, temperature", @@ -14352,7 +14352,7 @@ "snippet": "ee.ImageCollection('NOAA/GFS0P25')", "provider": "NOAA/NCEP/EMC", "state_date": "2015-07-01", - "end_date": "2023-09-20", + "end_date": "2023-09-21", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "climate, cloud, emc, flux, forecast, geophysical, gfs, humidity, ncep, noaa, precipitation, radiation, temperature, vapor, weather, wind", @@ -14370,7 +14370,7 @@ "snippet": "ee.ImageCollection('NOAA/GOES/16/FDCC')", "provider": "NOAA", "state_date": "2017-05-24", - "end_date": "2023-09-20", + "end_date": "2023-09-21", "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", @@ -14388,7 +14388,7 @@ "snippet": "ee.ImageCollection('NOAA/GOES/16/FDCF')", "provider": "NOAA", "state_date": "2017-05-24", - "end_date": "2023-09-20", + "end_date": "2023-09-21", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "abi, climate, fdc, fire, goes, goes_16, goes_east, goes_r, hotspot, nesdis, noaa, ospo, wildfire", @@ -14406,7 +14406,7 @@ "snippet": "ee.ImageCollection('NOAA/GOES/16/MCMIPC')", "provider": "NOAA", "state_date": "2017-07-10", - "end_date": "2023-09-20", + "end_date": "2023-09-21", "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", @@ -14424,7 +14424,7 @@ "snippet": "ee.ImageCollection('NOAA/GOES/16/MCMIPF')", "provider": "NOAA", "state_date": "2017-07-10", - "end_date": "2023-09-20", + "end_date": "2023-09-21", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "abi, climate, goes, goes_16, goes_east, goes_r, mcmip, nesdis, noaa, ospo, weather", @@ -14442,7 +14442,7 @@ "snippet": "ee.ImageCollection('NOAA/GOES/16/MCMIPM')", "provider": "NOAA", "state_date": "2017-07-10", - "end_date": "2023-09-20", + "end_date": "2023-09-21", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "abi, climate, goes, goes_16, goes_east, goes_r, mcmip, nesdis, noaa, ospo, weather", @@ -14550,7 +14550,7 @@ "snippet": "ee.ImageCollection('NOAA/GOES/18/FDCC')", "provider": "NOAA", "state_date": "2022-10-13", - "end_date": "2023-09-20", + "end_date": "2023-09-21", "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", @@ -14568,7 +14568,7 @@ "snippet": "ee.ImageCollection('NOAA/GOES/18/FDCF')", "provider": "NOAA", "state_date": "2022-10-13", - "end_date": "2023-09-20", + "end_date": "2023-09-21", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "abi, climate, fdc, fire, goes, goes_18, goes_t, goes_west, hotspot, nesdis, noaa, ospo, wildfire", @@ -14586,7 +14586,7 @@ "snippet": "ee.ImageCollection('NOAA/GOES/18/MCMIPC')", "provider": "NOAA", "state_date": "2018-12-04", - "end_date": "2023-09-20", + "end_date": "2023-09-21", "bbox": "-180, 14.57, 180, 53.51", "deprecated": false, "keywords": "abi, climate, goes, goes_18, goes_t, goes_west, mcmip, nesdis, noaa, ospo, weather", @@ -14604,7 +14604,7 @@ "snippet": "ee.ImageCollection('NOAA/GOES/18/MCMIPF')", "provider": "NOAA", "state_date": "2018-12-04", - "end_date": "2023-09-20", + "end_date": "2023-09-21", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "abi, climate, goes, goes_18, goes_t, goes_west, mcmip, nesdis, noaa, ospo, weather", @@ -14622,7 +14622,7 @@ "snippet": "ee.ImageCollection('NOAA/GOES/18/MCMIPM')", "provider": "NOAA", "state_date": "2018-12-04", - "end_date": "2023-09-20", + "end_date": "2023-09-21", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "abi, climate, goes, goes_18, goes_t, goes_west, mcmip, nesdis, noaa, ospo, weather", @@ -14838,7 +14838,7 @@ "snippet": "ee.ImageCollection('NOAA/VIIRS/001/VNP21A1D')", "provider": "NASA LP DAAC at the USGS EROS Center", "state_date": "2012-01-19", - "end_date": "2023-08-01", + "end_date": "2023-09-01", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "daily, day, land, nasa, noaa, surface, temperature, viirs", @@ -14856,7 +14856,7 @@ "snippet": "ee.ImageCollection('NOAA/VIIRS/001/VNP21A1N')", "provider": "NASA LP DAAC at the USGS EROS Center", "state_date": "2012-01-19", - "end_date": "2023-08-01", + "end_date": "2023-09-01", "bbox": "-180, -90, 180, 90", "deprecated": false, "keywords": "daily, land, nasa, night, noaa, surface, temperature, viirs", @@ -15072,7 +15072,7 @@ "snippet": "ee.ImageCollection('OREGONSTATE/PRISM/AN81d')", "provider": "PRISM / OREGONSTATE", "state_date": "1981-01-01", - "end_date": "2023-09-16", + "end_date": "2023-09-17", "bbox": "-125, 24, -66, 50", "deprecated": false, "keywords": "climate, daily, geophysical, oregonstate, precipitation, pressure, prism, temperature, vapor, weather", @@ -17628,7 +17628,7 @@ "snippet": "ee.ImageCollection('UTOKYO/WTLAB/KBDI/v1')", "provider": "Institute of Industrial Science, The University of Tokyo, Japan", "state_date": "2007-01-01", - "end_date": "2023-09-18", + "end_date": "2023-09-19", "bbox": "60, -60, 180, 60", "deprecated": false, "keywords": "drought, kbdi, lst_derived, rainfall, utokyo, wtlab", @@ -18757,7 +18757,7 @@ }, { "id": "projects/planet-nicfi/assets/basemaps/africa", - "title": "Planet & NICFI Basemaps for Tropical Forest Monitoring - Tropical Africa", + "title": "NICFI Satellite Data Program Basemaps for Tropical Forest Monitoring - Africa", "type": "image_collection", "snippet": "ee.ImageCollection('projects/planet-nicfi/assets/basemaps/africa')", "provider": "Planet", @@ -18775,7 +18775,7 @@ }, { "id": "projects/planet-nicfi/assets/basemaps/americas", - "title": "Planet & NICFI Basemaps for Tropical Forest Monitoring - Tropical Americas", + "title": "NICFI Satellite Data Program Basemaps for Tropical Forest Monitoring - Americas", "type": "image_collection", "snippet": "ee.ImageCollection('projects/planet-nicfi/assets/basemaps/americas')", "provider": "Planet", @@ -18793,7 +18793,7 @@ }, { "id": "projects/planet-nicfi/assets/basemaps/asia", - "title": "Planet & NICFI Basemaps for Tropical Forest Monitoring - Tropical Asia", + "title": "NICFI Satellite Data Program Basemaps for Tropical Forest Monitoring - Asia", "type": "image_collection", "snippet": "ee.ImageCollection('projects/planet-nicfi/assets/basemaps/asia')", "provider": "Planet", diff --git a/gee_catalog.tsv b/gee_catalog.tsv index e89be44..e9b376c 100644 --- a/gee_catalog.tsv +++ b/gee_catalog.tsv @@ -25,31 +25,31 @@ 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 2023-09-20 -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 image_collection ee.ImageCollection('COPERNICUS/S2') European Union/ESA/Copernicus 2015-06-23 2023-09-20 -180, -56, 180, 83 False 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 2015-06-23 2023-09-20 -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 2015-06-23 2023-09-20 -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 image_collection ee.ImageCollection('COPERNICUS/S2_SR') European Union/ESA/Copernicus 2017-03-28 2023-09-20 -180, -56, 180, 83 False 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 2023-09-20 -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 2023-09-19 -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 2023-09-19 -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 2023-09-19 -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 2023-09-19 -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 2023-09-19 -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 2023-09-19 -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 2023-09-19 -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 2023-09-19 -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 2023-09-19 -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 2023-09-17 -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 2023-09-17 -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 2023-09-17 -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 2023-09-17 -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 2023-09-17 -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 2023-09-17 -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 2023-09-10 -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_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 2023-09-17 -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 2023-09-04 -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 2023-09-17 -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 2023-09-21 -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 image_collection ee.ImageCollection('COPERNICUS/S2') European Union/ESA/Copernicus 2015-06-23 2023-09-21 -180, -56, 180, 83 False 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 2015-06-23 2023-09-21 -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 2015-06-23 2023-09-21 -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 image_collection ee.ImageCollection('COPERNICUS/S2_SR') European Union/ESA/Copernicus 2017-03-28 2023-09-21 -180, -56, 180, 83 False 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 2023-09-21 -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 2023-09-20 -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 2023-09-21 -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 2023-09-21 -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 2023-09-21 -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 2023-09-21 -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 2023-09-21 -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 2023-09-21 -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 2023-09-21 -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 2023-09-20 -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 2023-09-19 -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 2023-09-19 -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 2023-09-19 -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 2023-09-19 -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 2023-09-19 -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 2023-09-19 -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 2023-09-12 -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 2023-09-19 -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 2023-09-06 -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 2023-09-19 -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 image_collection ee.ImageCollection('CSIC/SPEI/2_8') Spanish National Research Council (CSIC) 1901-01-01 2021-01-01 -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_8.json https://developers.google.com/earth-engine/datasets/catalog/CSIC_SPEI_2_8 CC-BY-4.0 CSIRO/SLGA SLGA: Soil and Landscape Grid of Australia (Soil Attributes) image_collection ee.ImageCollection('CSIRO/SLGA') CSIRO/SLGA 1950-01-01 2013-12-31 113, -44.15, 154, -9.97 False australia, csiro, digital_soil_mapping, globalsoilmap, slga, soil, soil_depth, tern https://storage.googleapis.com/earthengine-stac/catalog/CSIRO/CSIRO_SLGA.json https://developers.google.com/earth-engine/datasets/catalog/CSIRO_SLGA CC-BY-4.0 @@ -71,7 +71,7 @@ CSP/ERGo/1_0/US/topoDiversity US NED Topographic Diversity image ee.Image('CSP/E CSP/HM/GlobalHumanModification CSP gHM: Global Human Modification image_collection ee.ImageCollection('CSP/HM/GlobalHumanModification') Conservation Science Partners 2016-01-01 2016-12-31 -180, -90, 180, 90 False csp, fragmentation, human_modification, landcover, landscape_gradient, stressors, tnc https://storage.googleapis.com/earthengine-stac/catalog/CSP/CSP_HM_GlobalHumanModification.json https://developers.google.com/earth-engine/datasets/catalog/CSP_HM_GlobalHumanModification CC-BY-NC-SA-4.0 DLR/WSF/WSF2015/v1 World Settlement Footprint 2015 image ee.Image('DLR/WSF/WSF2015/v1') Deutsches Zentrum für Luft- und Raumfahrt (DLR) 2015-01-01 2016-01-01 -180, -90, 180, 90 False landcover, landsat_derived, sentinel1_derived, settlement, urban https://storage.googleapis.com/earthengine-stac/catalog/DLR/DLR_WSF_WSF2015_v1.json https://developers.google.com/earth-engine/datasets/catalog/DLR_WSF_WSF2015_v1 CC0-1.0 DOE/ORNL/LandScan_HD/Ukraine_202201 LandScan High Definition Data for Ukraine, January 2022 image ee.Image('DOE/ORNL/LandScan_HD/Ukraine_202201') Oak Ridge National Laboratory 2022-01-01 2022-02-01 22.125, 44.175, 40.225, 52.4 False landscan, population, ukraine https://storage.googleapis.com/earthengine-stac/catalog/DOE/DOE_ORNL_LandScan_HD_Ukraine_202201.json https://developers.google.com/earth-engine/datasets/catalog/DOE_ORNL_LandScan_HD_Ukraine_202201 CC-BY-4.0 -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 2023-09-19 -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/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 2023-09-20 -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 2023-09-10 -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 @@ -122,7 +122,7 @@ GLIMS/20171027 GLIMS 2017: Global Land Ice Measurements From Space [deprecated] GLIMS/20210914 GLIMS 2021: Global Land Ice Measurements From Space table ee.FeatureCollection('GLIMS/20210914') National Snow and Ice Data Center (NSDIC) 1750-01-01 2019-07-18 -180, -90, 180, 90 False glacier, glims, ice, landcover, nasa, nsidc, snow https://storage.googleapis.com/earthengine-stac/catalog/GLIMS/GLIMS_20210914.json https://developers.google.com/earth-engine/datasets/catalog/GLIMS_20210914 proprietary 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 2019-07-18 -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/DYNAMICWORLD/V1 Dynamic World V1 image_collection ee.ImageCollection('GOOGLE/DYNAMICWORLD/V1') World Resources Institute 2015-06-23 2023-09-20 -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/DYNAMICWORLD/V1 Dynamic World V1 image_collection ee.ImageCollection('GOOGLE/DYNAMICWORLD/V1') World Resources Institute 2015-06-23 2023-09-21 -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/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 GOOGLE/Research/open-buildings/v2/polygons Open Buildings V2 Polygons [deprecated] table ee.FeatureCollection('GOOGLE/Research/open-buildings/v2/polygons') Google Research - Open Buildings 2022-08-30 2022-08-30 -180, -90, 180, 90 True africa, asia, building, built_up, open_buildings, south_asia, southeast_asia, structure https://storage.googleapis.com/earthengine-stac/catalog/GOOGLE/GOOGLE_Research_open-buildings_v2_polygons.json https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_Research_open-buildings_v2_polygons CC-BY-4.0 GOOGLE/Research/open-buildings/v3/polygons Open Buildings V3 Polygons table ee.FeatureCollection('GOOGLE/Research/open-buildings/v3/polygons') Google Research - Open Buildings 2023-05-30 2023-05-30 -180, -90, 180, 90 False africa, asia, building, built_up, open_buildings, south_asia, southeast_asia, structure https://storage.googleapis.com/earthengine-stac/catalog/GOOGLE/GOOGLE_Research_open-buildings_v3_polygons.json https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_Research_open-buildings_v3_polygons CC-BY-4.0 @@ -134,7 +134,7 @@ HYCOM/GLBu0_08/sea_water_velocity HYCOM: Hybrid Coordinate Ocean Model, Water Ve HYCOM/sea_surface_elevation HYCOM: Hybrid Coordinate Ocean Model, Sea Surface Elevation image_collection ee.ImageCollection('HYCOM/sea_surface_elevation') NOPP 1992-10-02 2023-05-08 -180, -80.48, 180, 80.48 False elevation, hycom, nopp, ocean, ssh, water https://storage.googleapis.com/earthengine-stac/catalog/HYCOM/HYCOM_sea_surface_elevation.json https://developers.google.com/earth-engine/datasets/catalog/HYCOM_sea_surface_elevation proprietary HYCOM/sea_temp_salinity HYCOM: Hybrid Coordinate Ocean Model, Water Temperature and Salinity image_collection ee.ImageCollection('HYCOM/sea_temp_salinity') NOPP 1992-10-02 2023-05-08 -180, -80.48, 180, 80.48 False hycom, nopp, ocean, salinity, sst, water, water_temp https://storage.googleapis.com/earthengine-stac/catalog/HYCOM/HYCOM_sea_temp_salinity.json https://developers.google.com/earth-engine/datasets/catalog/HYCOM_sea_temp_salinity proprietary HYCOM/sea_water_velocity HYCOM: Hybrid Coordinate Ocean Model, Water Velocity image_collection ee.ImageCollection('HYCOM/sea_water_velocity') NOPP 1992-10-02 2023-05-08 -180, -80.48, 180, 80.48 False hycom, nopp, ocean, velocity, water https://storage.googleapis.com/earthengine-stac/catalog/HYCOM/HYCOM_sea_water_velocity.json https://developers.google.com/earth-engine/datasets/catalog/HYCOM_sea_water_velocity proprietary -IDAHO_EPSCOR/GRIDMET GRIDMET: University of Idaho Gridded Surface Meteorological Dataset image_collection ee.ImageCollection('IDAHO_EPSCOR/GRIDMET') University of California Merced 1979-01-01 2023-09-17 -124.9, 24.9, -66.8, 49.6 False climate, fireburning, gridmet, humidity, merced, metdata, nfdrs, precipitation, radiation, temperature, wind https://storage.googleapis.com/earthengine-stac/catalog/IDAHO_EPSCOR/IDAHO_EPSCOR_GRIDMET.json https://developers.google.com/earth-engine/datasets/catalog/IDAHO_EPSCOR_GRIDMET proprietary +IDAHO_EPSCOR/GRIDMET GRIDMET: University of Idaho Gridded Surface Meteorological Dataset image_collection ee.ImageCollection('IDAHO_EPSCOR/GRIDMET') University of California Merced 1979-01-01 2023-09-18 -124.9, 24.9, -66.8, 49.6 False climate, fireburning, gridmet, humidity, merced, metdata, nfdrs, precipitation, radiation, temperature, wind https://storage.googleapis.com/earthengine-stac/catalog/IDAHO_EPSCOR/IDAHO_EPSCOR_GRIDMET.json https://developers.google.com/earth-engine/datasets/catalog/IDAHO_EPSCOR_GRIDMET proprietary IDAHO_EPSCOR/MACAv2_METDATA MACAv2-METDATA: University of Idaho, Multivariate Adaptive Constructed Analogs Applied to Global Climate Models image_collection ee.ImageCollection('IDAHO_EPSCOR/MACAv2_METDATA') University of California Merced 1900-01-01 2100-12-31 -124.9, 24.9, -67, 49.6 False climate, conus, geophysical, idaho, maca, monthly https://storage.googleapis.com/earthengine-stac/catalog/IDAHO_EPSCOR/IDAHO_EPSCOR_MACAv2_METDATA.json https://developers.google.com/earth-engine/datasets/catalog/IDAHO_EPSCOR_MACAv2_METDATA CC0-1.0 IDAHO_EPSCOR/MACAv2_METDATA_MONTHLY MACAv2-METDATA Monthly Summaries: University of Idaho, Multivariate Adaptive Constructed Analogs Applied to Global Climate Models image_collection ee.ImageCollection('IDAHO_EPSCOR/MACAv2_METDATA_MONTHLY') University of California Merced 1900-01-01 2099-12-31 -124.9, 24.9, -67, 49.6 False climate, conus, geophysical, idaho, maca, monthly https://storage.googleapis.com/earthengine-stac/catalog/IDAHO_EPSCOR/IDAHO_EPSCOR_MACAv2_METDATA_MONTHLY.json https://developers.google.com/earth-engine/datasets/catalog/IDAHO_EPSCOR_MACAv2_METDATA_MONTHLY CC0-1.0 IDAHO_EPSCOR/PDSI PDSI: University of Idaho Palmer Drought Severity Index [deprecated] image_collection ee.ImageCollection('IDAHO_EPSCOR/PDSI') University of California Merced 1979-03-01 2020-06-20 -124.9, 24.9, -66.8, 49.6 True climate, conus, crop, drought, geophysical, merced, palmer, pdsi https://storage.googleapis.com/earthengine-stac/catalog/IDAHO_EPSCOR/IDAHO_EPSCOR_PDSI.json https://developers.google.com/earth-engine/datasets/catalog/IDAHO_EPSCOR_PDSI proprietary @@ -173,16 +173,16 @@ 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 2022-01-01 -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 2023-09-18 -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 2023-09-19 -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 2023-09-18 -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 2023-09-19 -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 2023-09-17 -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 2023-09-18 -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) 2021-11-29 2023-09-17 -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/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) 2021-11-29 2023-09-18 -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 image_collection ee.ImageCollection('JAXA/GPM_L3/GSMaP/v6/operational') JAXA Earth Observation Research Center 2014-03-01 2023-09-20 -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 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 @@ -281,18 +281,18 @@ LANDSAT/LC08/C01/T2_SR USGS Landsat 8 Surface Reflectance Tier 2 [deprecated] im LANDSAT/LC08/C01/T2_TOA USGS Landsat 8 Collection 1 Tier 2 TOA Reflectance [deprecated] image_collection ee.ImageCollection('LANDSAT/LC08/C01/T2_TOA') USGS/Google 2013-03-18 2022-01-02 -180, -90, 180, 90 True global, landsat, toa, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC08_C01_T2_TOA.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C01_T2_TOA 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 2023-09-15 -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 2023-09-15 -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 2023-09-20 -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 2023-09-20 -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_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 2023-09-21 -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 2023-09-21 -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 2023-09-15 -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 2023-09-15 -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 2023-09-15 -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 2023-09-15 -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 2023-09-20 -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 2023-09-18 -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 2023-09-20 -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 2023-09-20 -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 2023-09-18 -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 2023-09-20 -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 2023-09-21 -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 2023-09-19 -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 2023-09-21 -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 2023-09-21 -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 2023-09-19 -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 2023-09-21 -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/LC8 USGS Landsat 8 Raw Scenes [deprecated] image_collection ee.ImageCollection('LANDSAT/LC8') USGS 2013-04-11 2017-05-01 -180, -90, 180, 90 True global, l8, landsat, lc8, oli_tirs, radiance, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC8.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC8 PDDL-1.0 LANDSAT/LC8_L1T USGS Landsat 8 Raw Scenes (Orthorectified) [deprecated] image_collection ee.ImageCollection('LANDSAT/LC8_L1T') USGS 2013-04-11 2017-05-01 -180, -90, 180, 90 True global, l8, landsat, lc8, oli_tirs, radiance, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC8_L1T.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC8_L1T PDDL-1.0 LANDSAT/LC8_L1T_32DAY_BAI Landsat 8 32-Day BAI Composite [deprecated] image_collection ee.ImageCollection('LANDSAT/LC8_L1T_32DAY_BAI') USGS 2013-04-07 2017-04-07 -180, -90, 180, 90 True bai, landsat, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LC8_L1T_32DAY_BAI.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC8_L1T_32DAY_BAI PDDL-1.0 @@ -354,13 +354,13 @@ LANDSAT/LE07/C01/T1_TOA USGS Landsat 7 Collection 1 Tier 1 TOA Reflectance [depr LANDSAT/LE07/C01/T2 USGS Landsat 7 Collection 1 Tier 2 Raw Scenes [deprecated] image_collection ee.ImageCollection('LANDSAT/LE07/C01/T2') USGS 1999-05-28 2021-12-31 -180, -90, 180, 90 True c1, etm, global, l7, landsat, le7, radiance, t2, tier2, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LE07_C01_T2.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LE07_C01_T2 PDDL-1.0 LANDSAT/LE07/C01/T2_SR USGS Landsat 7 Surface Reflectance Tier 2 [deprecated] image_collection ee.ImageCollection('LANDSAT/LE07/C01/T2_SR') USGS 1999-05-28 2021-10-17 -180, -90, 180, 90 True cfmask, cloud, fmask, global, landsat, le07, ledaps, reflectance, sr, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LE07_C01_T2_SR.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LE07_C01_T2_SR proprietary LANDSAT/LE07/C01/T2_TOA USGS Landsat 7 Collection 1 Tier 2 TOA Reflectance [deprecated] image_collection ee.ImageCollection('LANDSAT/LE07/C01/T2_TOA') USGS/Google 1999-05-28 2021-12-31 -180, -90, 180, 90 True global, landsat, toa, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LE07_C01_T2_TOA.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LE07_C01_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 2023-08-24 -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 2023-08-24 -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 2023-09-19 -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 -LANDSAT/LE07/C02/T1_RT_TOA USGS Landsat 7 Collection 2 Tier 1 and Real-Time data TOA Reflectance image_collection ee.ImageCollection('LANDSAT/LE07/C02/T1_RT_TOA') USGS/Google 1999-05-28 2023-09-19 -180, -90, 180, 90 False c2, global, landsat, toa, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LE07_C02_T1_RT_TOA.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LE07_C02_T1_RT_TOA PDDL-1.0 -LANDSAT/LE07/C02/T1_TOA USGS Landsat 7 Collection 2 Tier 1 TOA Reflectance image_collection ee.ImageCollection('LANDSAT/LE07/C02/T1_TOA') USGS/Google 1999-05-28 2023-08-24 -180, -90, 180, 90 False c2, global, landsat, toa, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LE07_C02_T1_TOA.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LE07_C02_T1_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 2023-08-25 -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 2023-08-25 -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 2023-09-21 -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 +LANDSAT/LE07/C02/T1_RT_TOA USGS Landsat 7 Collection 2 Tier 1 and Real-Time data TOA Reflectance image_collection ee.ImageCollection('LANDSAT/LE07/C02/T1_RT_TOA') USGS/Google 1999-05-28 2023-09-21 -180, -90, 180, 90 False c2, global, landsat, toa, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LE07_C02_T1_RT_TOA.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LE07_C02_T1_RT_TOA PDDL-1.0 +LANDSAT/LE07/C02/T1_TOA USGS Landsat 7 Collection 2 Tier 1 TOA Reflectance image_collection ee.ImageCollection('LANDSAT/LE07/C02/T1_TOA') USGS/Google 1999-05-28 2023-08-25 -180, -90, 180, 90 False c2, global, landsat, toa, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LE07_C02_T1_TOA.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LE07_C02_T1_TOA PDDL-1.0 LANDSAT/LE07/C02/T2 USGS Landsat 7 Collection 2 Tier 2 Raw Scenes image_collection ee.ImageCollection('LANDSAT/LE07/C02/T2') USGS 1999-05-28 2023-08-25 -180, -90, 180, 90 False c2, etm, global, l7, landsat, le7, radiance, t2, tier2, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LE07_C02_T2.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LE07_C02_T2 PDDL-1.0 -LANDSAT/LE07/C02/T2_L2 USGS Landsat 7 Level 2, Collection 2, Tier 2 image_collection ee.ImageCollection('LANDSAT/LE07/C02/T2_L2') USGS 1999-05-28 2023-08-24 -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_T2_L2.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LE07_C02_T2_L2 proprietary +LANDSAT/LE07/C02/T2_L2 USGS Landsat 7 Level 2, Collection 2, Tier 2 image_collection ee.ImageCollection('LANDSAT/LE07/C02/T2_L2') USGS 1999-05-28 2023-08-25 -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_T2_L2.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LE07_C02_T2_L2 proprietary LANDSAT/LE07/C02/T2_TOA USGS Landsat 7 Collection 2 Tier 2 TOA Reflectance image_collection ee.ImageCollection('LANDSAT/LE07/C02/T2_TOA') USGS/Google 2003-12-01 2023-08-25 -180, -90, 180, 90 False c2, global, landsat, toa, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LE07_C02_T2_TOA.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LE07_C02_T2_TOA PDDL-1.0 LANDSAT/LE7 USGS Landsat 7 Raw Scenes [deprecated] image_collection ee.ImageCollection('LANDSAT/LE7') USGS 1999-05-28 2017-04-30 -180, -90, 180, 90 True etm, global, l7, landsat, le7, radiance, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LE7.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LE7 PDDL-1.0 LANDSAT/LE7_L1T USGS Landsat 7 Raw Scenes (Orthorectified) [deprecated] image_collection ee.ImageCollection('LANDSAT/LE7_L1T') USGS 1999-05-28 2017-04-30 -180, -90, 180, 90 True etm, global, l7, landsat, le7, radiance, usgs https://storage.googleapis.com/earthengine-stac/catalog/LANDSAT/LANDSAT_LE7_L1T.json https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LE7_L1T PDDL-1.0 @@ -627,7 +627,7 @@ MODIS/061/MCD12Q1 MCD12Q1.061 MODIS Land Cover Type Yearly Global 500m image_col MODIS/061/MCD12Q2 MCD12Q2.006 Land Cover Dynamics Yearly Global 500m image_collection ee.ImageCollection('MODIS/061/MCD12Q2') NASA LP DAAC at the USGS EROS Center 2001-01-01 2022-01-01 -180, -90, 180, 90 False evi, global, modis, onset_greenness, phenology, usgs, yearly https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MCD12Q2.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD12Q2 proprietary 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 2023-09-06 -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/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 2023-08-01 -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 2003-06-30 -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/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 2003-10-11 -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 2023-09-17 -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 2023-09-05 -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 2023-09-05 -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 @@ -648,7 +648,7 @@ MODIS/061/MOD13A1 MOD13A1.061 Terra Vegetation Indices 16-Day Global 500m image_ MODIS/061/MOD13A2 MOD13A2.061 Terra Vegetation Indices 16-Day Global 1km image_collection ee.ImageCollection('MODIS/061/MOD13A2') NASA LP DAAC at the USGS EROS Center 2000-02-18 2023-08-13 -180, -90, 180, 90 False 16_day, evi, global, mod13a2, modis, nasa, ndvi, terra, usgs, vegetation https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD13A2.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD13A2 proprietary MODIS/061/MOD13A3 MOD13A3.061 Vegetation Indices Monthly L3 Global 1 km SIN Grid image_collection ee.ImageCollection('MODIS/061/MOD13A3') NASA LP DAAC at the USGS EROS Center 2000-02-01 2023-07-01 -180, -90, 180, 90 False evi, global, modis, monthly, nasa, ndvi, terra, usgs, vegetation https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD13A3.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD13A3 proprietary MODIS/061/MOD13Q1 MOD13Q1.061 Terra Vegetation Indices 16-Day Global 250m image_collection ee.ImageCollection('MODIS/061/MOD13Q1') NASA LP DAAC at the USGS EROS Center 2000-02-18 2023-08-13 -180, -90, 180, 90 False 16_day, evi, global, mod13q1, modis, nasa, ndvi, terra, usgs, vegetation https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD13Q1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD13Q1 proprietary -MODIS/061/MOD14A1 MOD14A1.061: Terra Thermal Anomalies & Fire Daily Global 1km image_collection ee.ImageCollection('MODIS/061/MOD14A1') NASA LP DAAC at the USGS EROS Center 2000-02-24 2023-09-05 -180, -90, 180, 90 False daily, fire, global, mod14a1, modis, nasa, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD14A1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD14A1 proprietary +MODIS/061/MOD14A1 MOD14A1.061: Terra Thermal Anomalies & Fire Daily Global 1km image_collection ee.ImageCollection('MODIS/061/MOD14A1') NASA LP DAAC at the USGS EROS Center 2000-02-24 2023-09-13 -180, -90, 180, 90 False daily, fire, global, mod14a1, modis, nasa, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD14A1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD14A1 proprietary MODIS/061/MOD14A2 MOD14A2.061: Terra Thermal Anomalies & Fire 8-Day Global 1km image_collection ee.ImageCollection('MODIS/061/MOD14A2') NASA LP DAAC at the USGS EROS Center 2000-02-18 2023-08-29 -180, -90, 180, 90 False 8_day, fire, global, mod14a2, modis, nasa, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD14A2.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD14A2 proprietary MODIS/061/MOD15A2H MOD15A2H.061: Terra Leaf Area Index/FPAR 8-Day Global 500m image_collection ee.ImageCollection('MODIS/061/MOD15A2H') NASA LP DAAC at the USGS EROS Center 2000-02-18 2023-08-29 -180, -90, 180, 90 False 8_day, fpar, global, lai, mod15a2h, modis, nasa, terra, usgs https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD15A2H.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD15A2H proprietary MODIS/061/MOD16A2 MOD16A2.061: Terra Net Evapotranspiration 8-Day Global 500m image_collection ee.ImageCollection('MODIS/061/MOD16A2') NASA LP DAAC at the USGS EROS Center 2001-01-01 2023-08-29 -180, -90, 180, 90 False 8_day, evapotranspiration, global, mod16a2, modis, nasa https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_061_MOD16A2.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD16A2 proprietary @@ -734,49 +734,49 @@ MODIS/MYD13A1 MYD13A1.005 Vegetation Indices 16-Day L3 Global 500m [deprecated] MODIS/MYD13Q1 MYD13Q1.005 Vegetation Indices 16-Day Global 250m [deprecated] image_collection ee.ImageCollection('MODIS/MYD13Q1') NASA LP DAAC at the USGS EROS Center 2002-07-04 2017-03-14 -180, -90, 180, 90 True 16_day, aqua, evi, global, modis, myd13q1, ndvi, vegetation https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_MYD13Q1.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_MYD13Q1 proprietary MODIS/NTSG/MOD16A2/105 MOD16A2: MODIS Global Terrestrial Evapotranspiration 8-Day Global 1km image_collection ee.ImageCollection('MODIS/NTSG/MOD16A2/105') Numerical Terradynamic Simulation Group, The University of Montana 2000-01-01 2014-12-27 -180, -90, 180, 90 False 8_day, evapotranspiration, global, mod16a2, modis https://storage.googleapis.com/earthengine-stac/catalog/MODIS/MODIS_NTSG_MOD16A2_105.json https://developers.google.com/earth-engine/datasets/catalog/MODIS_NTSG_MOD16A2_105 proprietary NASA/ASTER_GED/AG100_003 AG100: ASTER Global Emissivity Dataset 100-meter V003 image ee.Image('NASA/ASTER_GED/AG100_003') NASA LP DAAC at the USGS EROS Center 2000-01-01 2008-12-31 -180, -59, 180, 80 False aster, caltech, elevation, emissivity, ged, geophysical, infrared, jpl, lst, nasa, ndvi, temperature, thermal https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_ASTER_GED_AG100_003.json https://developers.google.com/earth-engine/datasets/catalog/NASA_ASTER_GED_AG100_003 proprietary -NASA/FLDAS/NOAH01/C/GL/M/V001 FLDAS: Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System image_collection ee.ImageCollection('NASA/FLDAS/NOAH01/C/GL/M/V001') NASA GES DISC at NASA Goddard Space Flight Center 1982-01-01 2023-07-01 -180, -60, 180, 90 False climate, evapotranspiration, famine, fldas, humidity, ldas, monthly, nasa, runoff, snow, soil_moisture, soil_temperature, temperature, wind https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_FLDAS_NOAH01_C_GL_M_V001.json https://developers.google.com/earth-engine/datasets/catalog/NASA_FLDAS_NOAH01_C_GL_M_V001 proprietary +NASA/FLDAS/NOAH01/C/GL/M/V001 FLDAS: Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System image_collection ee.ImageCollection('NASA/FLDAS/NOAH01/C/GL/M/V001') NASA GES DISC at NASA Goddard Space Flight Center 1982-01-01 2023-08-01 -180, -60, 180, 90 False climate, evapotranspiration, famine, fldas, humidity, ldas, monthly, nasa, runoff, snow, soil_moisture, soil_temperature, temperature, wind https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_FLDAS_NOAH01_C_GL_M_V001.json https://developers.google.com/earth-engine/datasets/catalog/NASA_FLDAS_NOAH01_C_GL_M_V001 proprietary NASA/GDDP-CMIP6 NEX-GDDP-CMIP6: NASA Earth Exchange Global Daily Downscaled Climate Projections image_collection ee.ImageCollection('NASA/GDDP-CMIP6') NASA / Climate Analytics Group 1950-01-01 2100-12-31 -180, -90, 180, 90 False cag, climate, gddp, geophysical, nasa, nex, precipitation, temperature https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GDDP-CMIP6.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GDDP-CMIP6 various -NASA/GEOS-CF/v1/fcst/htf GEOS-CF fcst htf v1: Goddard Earth Observing System Composition Forecast image_collection ee.ImageCollection('NASA/GEOS-CF/v1/fcst/htf') NASA / GMAO 2022-10-01 2023-09-18 -180, -90, 180, 90 False composition, forecast, geos, gmao, nasa https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GEOS-CF_v1_fcst_htf.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GEOS-CF_v1_fcst_htf proprietary -NASA/GEOS-CF/v1/fcst/tavg1hr GEOS-CF fcst tavg1hr v1: Goddard Earth Observing System Composition Forecast image_collection ee.ImageCollection('NASA/GEOS-CF/v1/fcst/tavg1hr') NASA / GMAO 2022-10-01 2023-09-18 -180, -90, 180, 90 False composition, forecast, geos, gmao, nasa https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GEOS-CF_v1_fcst_tavg1hr.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GEOS-CF_v1_fcst_tavg1hr proprietary -NASA/GEOS-CF/v1/rpl/htf GEOS-CF rpl htf v1: Goddard Earth Observing System Composition Forecast image_collection ee.ImageCollection('NASA/GEOS-CF/v1/rpl/htf') NASA / GMAO 2018-01-01 2023-09-18 -180, -90, 180, 90 False composition, forecast, geos, gmao, nasa https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GEOS-CF_v1_rpl_htf.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GEOS-CF_v1_rpl_htf proprietary -NASA/GEOS-CF/v1/rpl/tavg1hr GEOS-CF rpl tavg1hr v1: Goddard Earth Observing System Composition Forecast image_collection ee.ImageCollection('NASA/GEOS-CF/v1/rpl/tavg1hr') NASA / GMAO 2018-01-01 2023-09-18 -180, -90, 180, 90 False composition, forecast, geos, gmao, nasa https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GEOS-CF_v1_rpl_tavg1hr.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GEOS-CF_v1_rpl_tavg1hr proprietary +NASA/GEOS-CF/v1/fcst/htf GEOS-CF fcst htf v1: Goddard Earth Observing System Composition Forecast image_collection ee.ImageCollection('NASA/GEOS-CF/v1/fcst/htf') NASA / GMAO 2022-10-01 2023-09-20 -180, -90, 180, 90 False composition, forecast, geos, gmao, nasa https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GEOS-CF_v1_fcst_htf.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GEOS-CF_v1_fcst_htf proprietary +NASA/GEOS-CF/v1/fcst/tavg1hr GEOS-CF fcst tavg1hr v1: Goddard Earth Observing System Composition Forecast image_collection ee.ImageCollection('NASA/GEOS-CF/v1/fcst/tavg1hr') NASA / GMAO 2022-10-01 2023-09-19 -180, -90, 180, 90 False composition, forecast, geos, gmao, nasa https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GEOS-CF_v1_fcst_tavg1hr.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GEOS-CF_v1_fcst_tavg1hr proprietary +NASA/GEOS-CF/v1/rpl/htf GEOS-CF rpl htf v1: Goddard Earth Observing System Composition Forecast image_collection ee.ImageCollection('NASA/GEOS-CF/v1/rpl/htf') NASA / GMAO 2018-01-01 2023-09-20 -180, -90, 180, 90 False composition, forecast, geos, gmao, nasa https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GEOS-CF_v1_rpl_htf.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GEOS-CF_v1_rpl_htf proprietary +NASA/GEOS-CF/v1/rpl/tavg1hr GEOS-CF rpl tavg1hr v1: Goddard Earth Observing System Composition Forecast image_collection ee.ImageCollection('NASA/GEOS-CF/v1/rpl/tavg1hr') NASA / GMAO 2018-01-01 2023-09-19 -180, -90, 180, 90 False composition, forecast, geos, gmao, nasa https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GEOS-CF_v1_rpl_tavg1hr.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GEOS-CF_v1_rpl_tavg1hr proprietary NASA/GIMMS/3GV0 GIMMS NDVI From AVHRR Sensors (3rd Generation) image_collection ee.ImageCollection('NASA/GIMMS/3GV0') NASA/NOAA 1981-07-01 2013-12-16 -180, -90, 180, 90 False avhrr, gimms, nasa, ndvi, noaa, vegetation https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GIMMS_3GV0.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GIMMS_3GV0 proprietary NASA/GLDAS/V021/NOAH/G025/T3H GLDAS-2.1: Global Land Data Assimilation System image_collection ee.ImageCollection('NASA/GLDAS/V021/NOAH/G025/T3H') NASA GES DISC at NASA Goddard Space Flight Center 2000-01-01 2023-09-07 -180, -90, 180, 90 False 3_hourly, climate, evaporation, forcing, geophysical, gldas, humidity, ldas, nasa, precipitation, pressure, radiation, soil, soil_moisture, surface, temperature, wind https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GLDAS_V021_NOAH_G025_T3H.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GLDAS_V021_NOAH_G025_T3H proprietary NASA/GLDAS/V022/CLSM/G025/DA1D GLDAS-2.2: Global Land Data Assimilation System image_collection ee.ImageCollection('NASA/GLDAS/V022/CLSM/G025/DA1D') NASA GES DISC at NASA Goddard Earth Sciences Data and Information Services Center 2003-01-01 2023-05-31 -180, -90, 180, 90 False 3_hourly, climate, evaporation, forcing, geophysical, gldas, humidity, ldas, nasa, precipitation, pressure, radiation, soil, soil_moisture, surface, temperature, wind https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GLDAS_V022_CLSM_G025_DA1D.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GLDAS_V022_CLSM_G025_DA1D proprietary NASA/GLDAS/V20/NOAH/G025/T3H Reprocessed GLDAS-2.0: Global Land Data Assimilation System image_collection ee.ImageCollection('NASA/GLDAS/V20/NOAH/G025/T3H') NASA GES DISC at NASA Goddard Space Flight Center 1948-01-01 2014-12-31 -180, -90, 180, 90 False 3_hourly, climate, evaporation, forcing, geophysical, gldas, humidity, ldas, nasa, precipitation, pressure, radiation, soil, soil_moisture, surface, temperature, wind https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GLDAS_V20_NOAH_G025_T3H.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GLDAS_V20_NOAH_G025_T3H proprietary NASA/GPM_L3/IMERG_MONTHLY_V06 GPM: Monthly Global Precipitation Measurement (GPM) v6 image_collection ee.ImageCollection('NASA/GPM_L3/IMERG_MONTHLY_V06') NASA GES DISC at NASA Goddard Space Flight Center 2000-06-01 2021-09-01 -180, -90, 180, 90 False climate, geophysical, gpm, imerg, jaxa, monthly, nasa, precipitation, weather https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GPM_L3_IMERG_MONTHLY_V06.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GPM_L3_IMERG_MONTHLY_V06 proprietary -NASA/GPM_L3/IMERG_V06 GPM: Global Precipitation Measurement (GPM) v6 image_collection ee.ImageCollection('NASA/GPM_L3/IMERG_V06') NASA GES DISC at NASA Goddard Space Flight Center 2000-06-01 2023-09-19 -180, -90, 180, 90 False climate, geophysical, gpm, half_hourly, imerg, jaxa, nasa, precipitation, weather https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GPM_L3_IMERG_V06.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GPM_L3_IMERG_V06 proprietary +NASA/GPM_L3/IMERG_V06 GPM: Global Precipitation Measurement (GPM) v6 image_collection ee.ImageCollection('NASA/GPM_L3/IMERG_V06') NASA GES DISC at NASA Goddard Space Flight Center 2000-06-01 2023-09-21 -180, -90, 180, 90 False climate, geophysical, gpm, half_hourly, imerg, jaxa, nasa, precipitation, weather https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GPM_L3_IMERG_V06.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GPM_L3_IMERG_V06 proprietary NASA/GRACE/MASS_GRIDS/LAND GRACE Monthly Mass Grids - Land image_collection ee.ImageCollection('NASA/GRACE/MASS_GRIDS/LAND') NASA Jet Propulsion Laboratory 2002-04-01 2017-01-07 -180, -90, 180, 90 False crs, gfz, grace, gravity, jpl, land, mass, nasa, tellus, water https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GRACE_MASS_GRIDS_LAND.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GRACE_MASS_GRIDS_LAND proprietary NASA/GRACE/MASS_GRIDS/MASCON GRACE Monthly Mass Grids - Global Mascons image_collection ee.ImageCollection('NASA/GRACE/MASS_GRIDS/MASCON') NASA Jet Propulsion Laboratory 2002-03-31 2017-05-22 -180, -90, 180, 90 False grace, gravity, jpl, mascon, mass, nasa, tellus, water https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GRACE_MASS_GRIDS_MASCON.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GRACE_MASS_GRIDS_MASCON proprietary NASA/GRACE/MASS_GRIDS/MASCON_CRI GRACE Monthly Mass Grids - Global Mascon (CRI Filtered) image_collection ee.ImageCollection('NASA/GRACE/MASS_GRIDS/MASCON_CRI') NASA Jet Propulsion Laboratory 2002-03-31 2017-05-22 -180, -90, 180, 90 False grace, gravity, jpl, mascon, mass, nasa, tellus, water https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GRACE_MASS_GRIDS_MASCON_CRI.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GRACE_MASS_GRIDS_MASCON_CRI proprietary NASA/GRACE/MASS_GRIDS/OCEAN GRACE Monthly Mass Grids - Ocean image_collection ee.ImageCollection('NASA/GRACE/MASS_GRIDS/OCEAN') NASA Jet Propulsion Laboratory 2002-07-31 2016-12-10 -180, -90, 180, 90 False crs, gfz, grace, gravity, jpl, mass, nasa, ocean, tellus, water https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GRACE_MASS_GRIDS_OCEAN.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GRACE_MASS_GRIDS_OCEAN proprietary NASA/GRACE/MASS_GRIDS/OCEAN_EOFR GRACE Monthly Mass Grids - Ocean EOFR image_collection ee.ImageCollection('NASA/GRACE/MASS_GRIDS/OCEAN_EOFR') NASA Jet Propulsion Laboratory 2002-12-31 2016-12-10 -180, -90, 180, 90 False crs, gfz, grace, gravity, jpl, mass, nasa, ocean, tellus, water https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GRACE_MASS_GRIDS_OCEAN_EOFR.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GRACE_MASS_GRIDS_OCEAN_EOFR proprietary -NASA/GSFC/MERRA/aer/2 MERRA-2 M2T1NXAER: Aerosol Diagnostics V5.12.4 image_collection ee.ImageCollection('NASA/GSFC/MERRA/aer/2') NASA/MERRA 1980-01-01 2023-08-01 -180, -90, 180, 90 False aer, aerosol, carbon, dust, mass, merra, nasa, sea_salt, so2, so4 https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GSFC_MERRA_aer_2.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GSFC_MERRA_aer_2 proprietary -NASA/GSFC/MERRA/flx/2 MERRA-2 M2T1NXFLX: Surface Flux Diagnostics V5.12.4 image_collection ee.ImageCollection('NASA/GSFC/MERRA/flx/2') NASA/MERRA 1980-01-01 2023-08-01 -180, -90, 180, 90 False merra, sea_salt, so2, so4, soil_moisture https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GSFC_MERRA_flx_2.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GSFC_MERRA_flx_2 proprietary -NASA/GSFC/MERRA/lnd/2 MERRA-2 M2T1NXLND: Land Surface Diagnostics V5.12.4 image_collection ee.ImageCollection('NASA/GSFC/MERRA/lnd/2') NASA/MERRA 1980-01-01 2023-08-01 -180, -90, 180, 90 False evaporation, ice, merra, temperature https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GSFC_MERRA_lnd_2.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GSFC_MERRA_lnd_2 proprietary -NASA/GSFC/MERRA/rad/2 MERRA-2 M2T1NXRAD: Radiation Diagnostics V5.12.4 image_collection ee.ImageCollection('NASA/GSFC/MERRA/rad/2') NASA/MERRA 1980-01-01 2023-08-01 -180, -90, 180, 90 False albedo, emissivity, merra, shortwave, temperature https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GSFC_MERRA_rad_2.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GSFC_MERRA_rad_2 proprietary -NASA/GSFC/MERRA/slv/2 MERRA-2 M2T1NXSLV: Single-Level Diagnostics V5.12.4 image_collection ee.ImageCollection('NASA/GSFC/MERRA/slv/2') NASA/MERRA 1980-01-01 2023-08-01 -180, -90, 180, 90 False condensation, humidity, merra, nasa, omega, pressure, slv, temperature, vapor, water, wind https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GSFC_MERRA_slv_2.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GSFC_MERRA_slv_2 proprietary +NASA/GSFC/MERRA/aer/2 MERRA-2 M2T1NXAER: Aerosol Diagnostics V5.12.4 image_collection ee.ImageCollection('NASA/GSFC/MERRA/aer/2') NASA/MERRA 1980-01-01 2023-08-30 -180, -90, 180, 90 False aer, aerosol, carbon, dust, mass, merra, nasa, sea_salt, so2, so4 https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GSFC_MERRA_aer_2.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GSFC_MERRA_aer_2 proprietary +NASA/GSFC/MERRA/flx/2 MERRA-2 M2T1NXFLX: Surface Flux Diagnostics V5.12.4 image_collection ee.ImageCollection('NASA/GSFC/MERRA/flx/2') NASA/MERRA 1980-01-01 2023-09-01 -180, -90, 180, 90 False merra, sea_salt, so2, so4, soil_moisture https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GSFC_MERRA_flx_2.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GSFC_MERRA_flx_2 proprietary +NASA/GSFC/MERRA/lnd/2 MERRA-2 M2T1NXLND: Land Surface Diagnostics V5.12.4 image_collection ee.ImageCollection('NASA/GSFC/MERRA/lnd/2') NASA/MERRA 1980-01-01 2023-09-01 -180, -90, 180, 90 False evaporation, ice, merra, temperature https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GSFC_MERRA_lnd_2.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GSFC_MERRA_lnd_2 proprietary +NASA/GSFC/MERRA/rad/2 MERRA-2 M2T1NXRAD: Radiation Diagnostics V5.12.4 image_collection ee.ImageCollection('NASA/GSFC/MERRA/rad/2') NASA/MERRA 1980-01-01 2023-09-01 -180, -90, 180, 90 False albedo, emissivity, merra, shortwave, temperature https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GSFC_MERRA_rad_2.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GSFC_MERRA_rad_2 proprietary +NASA/GSFC/MERRA/slv/2 MERRA-2 M2T1NXSLV: Single-Level Diagnostics V5.12.4 image_collection ee.ImageCollection('NASA/GSFC/MERRA/slv/2') NASA/MERRA 1980-01-01 2023-09-01 -180, -90, 180, 90 False condensation, humidity, merra, nasa, omega, pressure, slv, temperature, vapor, water, wind https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_GSFC_MERRA_slv_2.json https://developers.google.com/earth-engine/datasets/catalog/NASA_GSFC_MERRA_slv_2 proprietary NASA/JPL/global_forest_canopy_height_2005 Global Forest Canopy Height, 2005 image ee.Image('NASA/JPL/global_forest_canopy_height_2005') NASA/JPL 2005-05-20 2005-06-23 -180, -90, 180, 90 False canopy, forest, geophysical, glas, jpl, nasa https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_JPL_global_forest_canopy_height_2005.json https://developers.google.com/earth-engine/datasets/catalog/NASA_JPL_global_forest_canopy_height_2005 proprietary NASA/MEASURES/GFCC/TC/v3 Global Forest Cover Change (GFCC) Tree Cover Multi-Year Global 30m image_collection ee.ImageCollection('NASA/MEASURES/GFCC/TC/v3') NASA LP DAAC at the USGS EROS Center 2000-01-01 2015-01-01 -180, -90, 180, 90 False forest, glcf, landsat_derived, nasa, umd https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_MEASURES_GFCC_TC_v3.json https://developers.google.com/earth-engine/datasets/catalog/NASA_MEASURES_GFCC_TC_v3 proprietary NASA/NASADEM_HGT/001 NASADEM: NASA NASADEM Digital Elevation 30m image ee.Image('NASA/NASADEM_HGT/001') NASA / USGS / JPL-Caltech 2000-02-11 2000-02-22 -180, -56, 180, 60 False dem, elevation, geophysical, nasa, nasadem, srtm, topography, usgs https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_NASADEM_HGT_001.json https://developers.google.com/earth-engine/datasets/catalog/NASA_NASADEM_HGT_001 proprietary 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, 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, 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, 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 2023-09-16 -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 2023-09-18 -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 NASA/ORNL/DAYMET_V3 Daymet V3: Daily Surface Weather and Climatological Summaries [deprecated] image_collection ee.ImageCollection('NASA/ORNL/DAYMET_V3') NASA ORNL DAAC at Oak Ridge National Laboratory 1980-01-01 2019-12-31 -150.8, 1.6, -1.1, 84 True climate, daily, daylight, daymet, flux, geophysical, nasa, ornl, precipitation, radiation, snow, temperature, vapor, water, weather https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_ORNL_DAYMET_V3.json https://developers.google.com/earth-engine/datasets/catalog/NASA_ORNL_DAYMET_V3 proprietary NASA/ORNL/DAYMET_V4 Daymet V4: Daily Surface Weather and Climatological Summaries image_collection ee.ImageCollection('NASA/ORNL/DAYMET_V4') NASA ORNL DAAC at Oak Ridge National Laboratory 1980-01-01 2022-12-31 -150.8, 1.6, -1.1, 84 False climate, daily, daylight, daymet, flux, geophysical, nasa, ornl, precipitation, radiation, snow, temperature, vapor, water, weather https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_ORNL_DAYMET_V4.json https://developers.google.com/earth-engine/datasets/catalog/NASA_ORNL_DAYMET_V4 proprietary NASA/ORNL/biomass_carbon_density/v1 Global Aboveground and Belowground Biomass Carbon Density Maps image_collection ee.ImageCollection('NASA/ORNL/biomass_carbon_density/v1') NASA ORNL DAAC at Oak Ridge National Laboratory 2010-01-01 2010-12-31 -180, -61.1, 180, 84 False aboveground, belowground, biomass, carbon, density, forest, nasa, ornl, vegetation https://storage.googleapis.com/earthengine-stac/catalog/NASA/NASA_ORNL_biomass_carbon_density_v1.json https://developers.google.com/earth-engine/datasets/catalog/NASA_ORNL_biomass_carbon_density_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 2023-09-17 -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/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 2023-09-16 -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/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 2023-09-18 -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/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 2023-09-17 -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_USDA/HSL/SMAP10KM_soil_moisture NASA-USDA Enhanced SMAP Global Soil Moisture Data image_collection ee.ImageCollection('NASA_USDA/HSL/SMAP10KM_soil_moisture') NASA GSFC 2015-04-02 2022-08-02 -180, -60, 180, 90 False 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 2023-09-16 -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 2023-09-16 -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 2023-09-16 -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 2023-09-17 -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 2023-09-17 -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 2023-09-17 -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 image_collection ee.ImageCollection('NOAA/CDR/AVHRR/AOT/V3') NOAA 1981-01-01 2022-03-31 -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_V3.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_AVHRR_AOT_V3 proprietary NOAA/CDR/AVHRR/LAI_FAPAR/V4 NOAA CDR AVHRR LAI FAPAR: Leaf Area Index and Fraction of Absorbed Photosynthetically Active Radiation, Version 4 [deprecated] image_collection ee.ImageCollection('NOAA/CDR/AVHRR/LAI_FAPAR/V4') NOAA 1981-06-24 2019-05-16 -180, -90, 180, 90 True avhrr, cdr, daily, fapar, lai, land, noaa https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_CDR_AVHRR_LAI_FAPAR_V4.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_AVHRR_LAI_FAPAR_V4 proprietary @@ -788,7 +788,7 @@ 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 2023-03-31 -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 2023-09-17 -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 2023-09-18 -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 2022-12-30 -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 @@ -796,22 +796,22 @@ NOAA/CFSR CFSR: Climate Forecast System Reanalysis image_collection ee.ImageColl 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 2023-09-20 -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/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 2023-09-20 -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 2023-09-20 -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 2023-09-20 -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 2023-09-20 -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 2023-09-20 -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 2023-09-20 -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 2023-09-21 -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 2023-09-21 -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 2023-09-21 -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 2023-09-21 -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 2023-09-21 -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 2023-09-21 -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 2023-09-20 -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 2023-09-20 -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 2023-09-20 -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 2023-09-20 -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 2023-09-20 -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 2023-09-21 -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 2023-09-21 -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 2023-09-21 -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 2023-09-21 -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 2023-09-21 -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/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 2023-08-31 -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 @@ -823,8 +823,8 @@ NOAA/VIIRS/001/VNP09H1 VNP09H1: VIIRS Surface Reflectance 8-Day L3 Global 500m i NOAA/VIIRS/001/VNP13A1 VNP13A1: VIIRS Vegetation Indices 16-Day 500m image_collection ee.ImageCollection('NOAA/VIIRS/001/VNP13A1') NASA LP DAAC at the USGS EROS Center 2012-01-17 2023-08-29 -180, -90, 180, 90 False 16_day, evi, nasa, ndvi, noaa, npp, vegetation, viirs, vnp13a1 https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_VIIRS_001_VNP13A1.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_001_VNP13A1 proprietary NOAA/VIIRS/001/VNP14A1 VNP14A1: Thermal Anomalies/Fire Daily L3 Global 1km SIN Grid image_collection ee.ImageCollection('NOAA/VIIRS/001/VNP14A1') NASA LP DAAC at the USGS EROS Center 2012-01-19 2023-09-18 -180, -90, 180, 90 False fire, land, nasa, noaa, surface, viirs https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_VIIRS_001_VNP14A1.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_001_VNP14A1 proprietary NOAA/VIIRS/001/VNP15A2H VNP15A2H: LAI/FPAR 8-Day L4 Global 500m SIN Grid image_collection ee.ImageCollection('NOAA/VIIRS/001/VNP15A2H') NASA LP DAAC at the USGS EROS Center 2012-01-17 2023-09-06 -180, -90, 180, 90 False land, nasa, noaa, surface, viirs https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_VIIRS_001_VNP15A2H.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_001_VNP15A2H proprietary -NOAA/VIIRS/001/VNP21A1D VNP21A1D: Day Land Surface Temperature and Emissivity Daily 1km image_collection ee.ImageCollection('NOAA/VIIRS/001/VNP21A1D') NASA LP DAAC at the USGS EROS Center 2012-01-19 2023-08-01 -180, -90, 180, 90 False daily, day, land, nasa, noaa, surface, temperature, viirs https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_VIIRS_001_VNP21A1D.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_001_VNP21A1D proprietary -NOAA/VIIRS/001/VNP21A1N VNP21A1N: Night Land Surface Temperature and Emissivity Daily 1km image_collection ee.ImageCollection('NOAA/VIIRS/001/VNP21A1N') NASA LP DAAC at the USGS EROS Center 2012-01-19 2023-08-01 -180, -90, 180, 90 False daily, land, nasa, night, noaa, surface, temperature, viirs https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_VIIRS_001_VNP21A1N.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_001_VNP21A1N proprietary +NOAA/VIIRS/001/VNP21A1D VNP21A1D: Day Land Surface Temperature and Emissivity Daily 1km image_collection ee.ImageCollection('NOAA/VIIRS/001/VNP21A1D') NASA LP DAAC at the USGS EROS Center 2012-01-19 2023-09-01 -180, -90, 180, 90 False daily, day, land, nasa, noaa, surface, temperature, viirs https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_VIIRS_001_VNP21A1D.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_001_VNP21A1D proprietary +NOAA/VIIRS/001/VNP21A1N VNP21A1N: Night Land Surface Temperature and Emissivity Daily 1km image_collection ee.ImageCollection('NOAA/VIIRS/001/VNP21A1N') NASA LP DAAC at the USGS EROS Center 2012-01-19 2023-09-01 -180, -90, 180, 90 False daily, land, nasa, night, noaa, surface, temperature, viirs https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_VIIRS_001_VNP21A1N.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_001_VNP21A1N proprietary NOAA/VIIRS/001/VNP22Q2 VNP22Q2: Land Surface Phenology Yearly L3 Global 500m SIN Grid image_collection ee.ImageCollection('NOAA/VIIRS/001/VNP22Q2') NASA LP DAAC at the USGS EROS Center 2013-01-01 2022-01-01 -180, -90, 180, 90 False land, nasa, ndvi, noaa, npp, onset_greenness, phenology, surface, vegetation, viirs https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_VIIRS_001_VNP22Q2.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_001_VNP22Q2 proprietary NOAA/VIIRS/001/VNP43IA1 VNP43IA1: BRDF/Albedo Model Parameters Daily L3 Global 500m SIN Grid image_collection ee.ImageCollection('NOAA/VIIRS/001/VNP43IA1') NASA LP DAAC at the USGS EROS Center 2012-01-17 2023-09-07 -180, -90, 180, 90 False land, nasa, noaa, surface, viirs https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_VIIRS_001_VNP43IA1.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_001_VNP43IA1 proprietary NOAA/VIIRS/001/VNP43IA2 VNP43IA2: BRDF/Albedo Quality Daily L3 Global 500m SIN Grid image_collection ee.ImageCollection('NOAA/VIIRS/001/VNP43IA2') NASA LP DAAC at the USGS EROS Center 2012-01-17 2023-09-07 -180, -90, 180, 90 False land, nasa, noaa, surface, viirs https://storage.googleapis.com/earthengine-stac/catalog/NOAA/NOAA_VIIRS_001_VNP43IA2.json https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_001_VNP43IA2 proprietary @@ -836,7 +836,7 @@ 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 2023-08-01 -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 50.75, 3.2, 53.7, 7.22 False orthophoto, rgb 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 2023-09-16 -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 2023-09-17 -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 2023-08-01 -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 @@ -978,7 +978,7 @@ USGS/WBD/2017/HUC06 HUC06: USGS Watershed Boundary Dataset of Basins table ee.Fe USGS/WBD/2017/HUC08 HUC08: USGS Watershed Boundary Dataset of Subbasins table ee.FeatureCollection('USGS/WBD/2017/HUC08') United States Geological Survey 2017-04-22 2017-04-23 -180, -14.69, 180, 71.567 False hydrology, usgs, water, watershed, wbd https://storage.googleapis.com/earthengine-stac/catalog/USGS/USGS_WBD_2017_HUC08.json https://developers.google.com/earth-engine/datasets/catalog/USGS_WBD_2017_HUC08 proprietary USGS/WBD/2017/HUC10 HUC10: USGS Watershed Boundary Dataset of Watersheds table ee.FeatureCollection('USGS/WBD/2017/HUC10') United States Geological Survey 2017-04-22 2017-04-23 -180, -14.69, 180, 71.567 False hydrology, usgs, water, watershed, wbd https://storage.googleapis.com/earthengine-stac/catalog/USGS/USGS_WBD_2017_HUC10.json https://developers.google.com/earth-engine/datasets/catalog/USGS_WBD_2017_HUC10 proprietary USGS/WBD/2017/HUC12 HUC12: USGS Watershed Boundary Dataset of Subwatersheds table ee.FeatureCollection('USGS/WBD/2017/HUC12') United States Geological Survey 2017-04-22 2017-04-23 -180, -14.69, 180, 71.567 False hydrology, usgs, water, watershed, wbd https://storage.googleapis.com/earthengine-stac/catalog/USGS/USGS_WBD_2017_HUC12.json https://developers.google.com/earth-engine/datasets/catalog/USGS_WBD_2017_HUC12 proprietary -UTOKYO/WTLAB/KBDI/v1 KBDI: Keetch-Byram Drought Index image_collection ee.ImageCollection('UTOKYO/WTLAB/KBDI/v1') Institute of Industrial Science, The University of Tokyo, Japan 2007-01-01 2023-09-18 60, -60, 180, 60 False drought, kbdi, lst_derived, rainfall, utokyo, wtlab https://storage.googleapis.com/earthengine-stac/catalog/UTOKYO/UTOKYO_WTLAB_KBDI_v1.json https://developers.google.com/earth-engine/datasets/catalog/UTOKYO_WTLAB_KBDI_v1 CC-BY-4.0 +UTOKYO/WTLAB/KBDI/v1 KBDI: Keetch-Byram Drought Index image_collection ee.ImageCollection('UTOKYO/WTLAB/KBDI/v1') Institute of Industrial Science, The University of Tokyo, Japan 2007-01-01 2023-09-19 60, -60, 180, 60 False drought, kbdi, lst_derived, rainfall, utokyo, wtlab https://storage.googleapis.com/earthengine-stac/catalog/UTOKYO/UTOKYO_WTLAB_KBDI_v1.json https://developers.google.com/earth-engine/datasets/catalog/UTOKYO_WTLAB_KBDI_v1 CC-BY-4.0 VITO/PROBAV/C1/S1_TOC_100M PROBA-V C1 Top Of Canopy Daily Synthesis 100m image_collection ee.ImageCollection('VITO/PROBAV/C1/S1_TOC_100M') Vito / ESA 2013-10-17 2021-10-31 -180, -90, 180, 90 False esa, multispectral, nir, proba, probav, swir, vito https://storage.googleapis.com/earthengine-stac/catalog/VITO/VITO_PROBAV_C1_S1_TOC_100M.json https://developers.google.com/earth-engine/datasets/catalog/VITO_PROBAV_C1_S1_TOC_100M proprietary VITO/PROBAV/C1/S1_TOC_333M PROBA-V C1 Top Of Canopy Daily Synthesis 333m image_collection ee.ImageCollection('VITO/PROBAV/C1/S1_TOC_333M') Vito / ESA 2013-10-17 2021-10-31 -180, -90, 180, 90 False esa, multispectral, nir, proba, probav, swir, vito https://storage.googleapis.com/earthengine-stac/catalog/VITO/VITO_PROBAV_C1_S1_TOC_333M.json https://developers.google.com/earth-engine/datasets/catalog/VITO_PROBAV_C1_S1_TOC_333M proprietary VITO/PROBAV/S1_TOC_100M PROBA-V C0 Top Of Canopy Daily Synthesis 100m [deprecated] image_collection ee.ImageCollection('VITO/PROBAV/S1_TOC_100M') Vito / ESA 2013-10-17 2016-12-14 -180, -90, 180, 90 True esa, multispectral, nir, proba, probav, swir, vito https://storage.googleapis.com/earthengine-stac/catalog/VITO/VITO_PROBAV_S1_TOC_100M.json https://developers.google.com/earth-engine/datasets/catalog/VITO_PROBAV_S1_TOC_100M proprietary @@ -1041,6 +1041,6 @@ YALE/YCEO/UHI/UHI_yearly_averaged/v4 YCEO Surface Urban Heat Islands: Spatially- YALE/YCEO/UHI/UHI_yearly_pixel/v4 YCEO Surface Urban Heat Islands: Pixel-Level Annual Daytime and Nighttime Intensity image_collection ee.ImageCollection('YALE/YCEO/UHI/UHI_yearly_pixel/v4') Yale Center for Earth Observation (YCEO) 2003-01-01 2018-12-31 -180, -49.98, 180, 69.7 False climate, uhi, urban, yale https://storage.googleapis.com/earthengine-stac/catalog/YALE/YALE_YCEO_UHI_UHI_yearly_pixel_v4.json https://developers.google.com/earth-engine/datasets/catalog/YALE_YCEO_UHI_UHI_yearly_pixel_v4 CC-BY-4.0 YALE/YCEO/UHI/Winter_UHI_yearly_pixel/v4 YCEO Surface Urban Heat Islands: Pixel-Level Yearly Composites of Wintertime Daytime and Nighttime Intensity image_collection ee.ImageCollection('YALE/YCEO/UHI/Winter_UHI_yearly_pixel/v4') Yale Center for Earth Observation (YCEO) 2003-01-01 2018-12-31 -180, -49.98, 180, 69.7 False climate, uhi, urban, yale https://storage.googleapis.com/earthengine-stac/catalog/YALE/YALE_YCEO_UHI_Winter_UHI_yearly_pixel_v4.json https://developers.google.com/earth-engine/datasets/catalog/YALE_YCEO_UHI_Winter_UHI_yearly_pixel_v4 CC-BY-4.0 projects/ngis-cat/assets/DEA/NIDEM National Intertidal Digital Elevation Model 25m 1.0.0 image ee.Image('projects/ngis-cat/assets/DEA/NIDEM') Digital Earth Australia 1986-08-16 2017-07-31 108.81, -44.41, 157.82, -9.13 False australia, 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 Planet & NICFI Basemaps for Tropical Forest Monitoring - Tropical Africa image_collection ee.ImageCollection('projects/planet-nicfi/assets/basemaps/africa') Planet 2015-12-01 2023-08-01 -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 Planet & NICFI Basemaps for Tropical Forest Monitoring - Tropical Americas image_collection ee.ImageCollection('projects/planet-nicfi/assets/basemaps/americas') Planet 2015-12-01 2023-08-01 -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 -projects/planet-nicfi/assets/basemaps/asia Planet & NICFI Basemaps for Tropical Forest Monitoring - Tropical Asia image_collection ee.ImageCollection('projects/planet-nicfi/assets/basemaps/asia') Planet 2015-12-01 2023-08-01 -180, -27.5, 180, 30.2 False basemaps, forest, nicfi, planet, sr, surface_reflectance, tropics https://storage.googleapis.com/earthengine-stac/catalog/planet-nicfi/projects_planet-nicfi_assets_basemaps_asia.json https://developers.google.com/earth-engine/datasets/catalog/projects_planet-nicfi_assets_basemaps_asia proprietary +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 2023-08-01 -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 2023-08-01 -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 +projects/planet-nicfi/assets/basemaps/asia NICFI Satellite Data Program Basemaps for Tropical Forest Monitoring - Asia image_collection ee.ImageCollection('projects/planet-nicfi/assets/basemaps/asia') Planet 2015-12-01 2023-08-01 -180, -27.5, 180, 30.2 False basemaps, forest, nicfi, planet, sr, surface_reflectance, tropics https://storage.googleapis.com/earthengine-stac/catalog/planet-nicfi/projects_planet-nicfi_assets_basemaps_asia.json https://developers.google.com/earth-engine/datasets/catalog/projects_planet-nicfi_assets_basemaps_asia proprietary diff --git a/nasa_cmr_catalog.json b/nasa_cmr_catalog.json index d0d3080..96c183b 100644 --- a/nasa_cmr_catalog.json +++ b/nasa_cmr_catalog.json @@ -1,43 +1,4 @@ [ - { - "id": "04bc222136f7429eb04d3eb3543ef3e8_NA", - "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 2 aerosol products from ATSR-2 (ORAC algorithm), Version 4.01", - "catalog": "FEDEO STAC Catalog", - "state_date": "1995-06-01", - "end_date": "2003-06-22", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2548143224-FEDEO.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2548143224-FEDEO.html", - "href": "https://cmr.earthdata.nasa.gov/stac/FEDEO/collections/04bc222136f7429eb04d3eb3543ef3e8_NA", - "description": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 2 aerosol products from the ATSR-2 instrument on the ERS-2 satellite, derived using the ORAC algorithm, version 4.01. It covers the period from 1995-2003For further details about these data products please see the linked documentation.", - "license": "proprietary" - }, - { - "id": "0f4324af-fa0a-4aaf-9b97-89a4f3325ce1_NA", - "title": "DESIS - Hyperspectral Images - Global", - "catalog": "FEDEO STAC Catalog", - "state_date": "2018-08-30", - "end_date": "", - "bbox": "-180, -52, 180, 52", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2207458058-FEDEO.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2207458058-FEDEO.html", - "href": "https://cmr.earthdata.nasa.gov/stac/FEDEO/collections/0f4324af-fa0a-4aaf-9b97-89a4f3325ce1_NA", - "description": "The hyperspectral instrument DESIS (DLR Earth Sensing Imaging Spectrometer) is one of four possible payloads of MUSES (Multi-User System for Earth Sensing), which is mounted on the International Space Station (ISS). DLR developed and delivered a Visual/Near-Infrared Imaging Spectrometer to Teledyne Brown Engineering, which was responsible for integrating the instrument. Teledyne Brown designed and constructed, integrated and tested the platform before delivered to NASA. Teledyne Brown collaborates with DLR in several areas, including basic and applied research for use of data. DESIS is operated in the wavelength range from visible through the near infrared and enables precise data acquisition from Earth's surface for applications including fire-detection, change detection, maritime domain awareness, and atmospheric research. Three product types can be ordered, which are Level 1B (systematic and radiometric corrected), Level 1C (geometrically corrected) and Level 2A (atmospherically corrected). The spatial resolution is about 30m on ground. DESIS is sensitive between 400nm and 1000nm with a spectral resolution of about 3.3nm. DESIS data are delivered in tiles of about 30x30km. For more information concerning DESIS the reader is referred to https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-13614/", - "license": "proprietary" - }, - { - "id": "11c5f6df1abc41968d0b28fe36393c9d_NA", - "title": "ESA Aerosol Climate Change Initiative (Aerosol CCI): Level 3 aerosol products from MERIS (ALAMO algorithm), Version 2.2", - "catalog": "FEDEO STAC Catalog", - "state_date": "2008-01-01", - "end_date": "2008-12-31", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2548143004-FEDEO.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2548143004-FEDEO.html", - "href": "https://cmr.earthdata.nasa.gov/stac/FEDEO/collections/11c5f6df1abc41968d0b28fe36393c9d_NA", - "description": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises the Level 3 aerosol daily and monthly gridded products from MERIS for 2008, using the ALAMO algorithm, version 2.2. The data have been provided by Hygeos.For further details about these data products please see the linked documentation.", - "license": "proprietary" - }, { "id": "1C_LIS3_STUC00GTD_1.0", "title": "IRS 1C LIS3 Standard Products", @@ -64,19 +25,6 @@ "description": "The data is acquired in four spectral bands, three in the visible and in NIR (VNIR B2, B3 and B4)and one in the short wave infrared (SWIR B5).The AWiFS camera is realized in two electro-optic modules viz. AWiFS-A and AWiFS-B, providing a combined swath of 740 Km with 56m resolution. Standard products are full scene (path-row) based geo-referenced as well as geo-orthokit products.", "license": "proprietary" }, - { - "id": "2e656d34d016414c8d6bced18634772c_NA", - "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 3 aerosol products from the Multi-Sensor UV Absorbing Aerosol Index (MS UVAI) algorithm, Version 1.7", - "catalog": "FEDEO STAC Catalog", - "state_date": "1978-11-01", - "end_date": "2015-12-31", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2548142580-FEDEO.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2548142580-FEDEO.html", - "href": "https://cmr.earthdata.nasa.gov/stac/FEDEO/collections/2e656d34d016414c8d6bced18634772c_NA", - "description": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 3 Absorbing Aerosol Index (AAI) products, using the Multi-Sensor UVAI algorithm, Version 1.7. L3 products are provided as daily and monthly gridded products as well as a monthly climatology. For further details about these data products please see the linked documentation.", - "license": "proprietary" - }, { "id": "3DIMG_L1B_STD_Not provided", "title": "INSAT-3D Imager Level-1B Full Acquisition Standard Product", @@ -259,97 +207,6 @@ "description": "Suitable tracers are identified in WV(Water Vapour) band imagery and tracked in subsequent half-hourly imageries to determine cloud motion vector", "license": "proprietary" }, - { - "id": "3fe263d2-99ed-4751-b937-d26a31ab0606_NA", - "title": "AVHRR - Vegetation Index (NDVI) - Europe", - "catalog": "FEDEO STAC Catalog", - "state_date": "1994-07-01", - "end_date": "", - "bbox": "-24, 28, 57, 78", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2207458021-FEDEO.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2207458021-FEDEO.html", - "href": "https://cmr.earthdata.nasa.gov/stac/FEDEO/collections/3fe263d2-99ed-4751-b937-d26a31ab0606_NA", - "description": "Every day, three successive NOAA-AVHRR scenes are used to derive a synthesis product in stereographic projection known as the \"Normalized Difference Vegetation Index\" for Europe and North Africa. It is calculated by dividing the difference in technical albedos between measurements in the near infrared and visible red part of the spectrum by the sum of both measurements. This value provides important information about the \"greenness\" and density of vegetation. Weekly and monthly thematic synthesis products are also derived from this daily operational product, at each step becoming successively free of clouds. For additional information, please see: https://wdc.dlr.de/sensors/avhrr/", - "license": "proprietary" - }, - { - "id": "4afb736dc395442aa9b327c11f0d704b_NA", - "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 2 aerosol products from ATSR-2 (ensemble product), Version 2.6", - "catalog": "FEDEO STAC Catalog", - "state_date": "1995-08-01", - "end_date": "2002-12-31", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2548142590-FEDEO.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2548142590-FEDEO.html", - "href": "https://cmr.earthdata.nasa.gov/stac/FEDEO/collections/4afb736dc395442aa9b327c11f0d704b_NA", - "description": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 2 aerosol products from the ATSR-2 instrument on the ERS-2 satellite. The data is an uncertainty-weighted ensemble of the outputs of three separate algorithms (the SU, ADV, and ORAC algorithms.) This product is version 2.6 of the ensemble product. Data is provided for the period 1995 to 2002. For further details about these data products please see the documentation.", - "license": "proprietary" - }, - { - "id": "7ae5a791-b667-4838-9733-a44e4cf2d715_NA", - "title": "Cartosat-1 (IRS-P5) - Panchromatic Images (PAN) - Europe, Stereographic", - "catalog": "FEDEO STAC Catalog", - "state_date": "2007-01-05", - "end_date": "", - "bbox": "-25, 30, 45, 80", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2207458042-FEDEO.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2207458042-FEDEO.html", - "href": "https://cmr.earthdata.nasa.gov/stac/FEDEO/collections/7ae5a791-b667-4838-9733-a44e4cf2d715_NA", - "description": "Indian Remote Sensing satellites (IRS) are a series of Earth Observation satellites, built, launched and maintained by Indian Space Research Organisation. The IRS series provides many remote sensing services to India and international ground stations. The satellite has two panchromatic cameras that were especially designed for in flight stereo viewing.", - "license": "proprietary" - }, - { - "id": "802569b8-fb56-4d78-a2e8-3e4549ff475b_NA", - "title": "AVHRR - Sea Surface Temperature (SST) - Europe", - "catalog": "FEDEO STAC Catalog", - "state_date": "1994-08-01", - "end_date": "", - "bbox": "-35, 47.5, 51, 73", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2207458053-FEDEO.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2207458053-FEDEO.html", - "href": "https://cmr.earthdata.nasa.gov/stac/FEDEO/collections/802569b8-fb56-4d78-a2e8-3e4549ff475b_NA", - "description": "The AVHRR Mulitchannel Sea Surface Temperature Map (MCSST) was the first result of DLR's AVHRR pathfinder activities. The goal of the product is to provide the user with actual Sea Surface Temperature (SST) maps in a defined format easy to access with the highest possible reliability on the thematic quality. After a phase of definition, the operational production chain was launched in March 1993 covering the entire Mediterranean Sea and the Black Sea. Since then, daily, weekly, and monthly data sets have been available until September 13, 1994, when the AVHRR on board the NOAA-11 spacecraft failed. The production of daily, weekly and monthly SST maps was resumed in February, 1995, based on NOAA-14 AVHRR data. The NOAA-14 AVHRR sensor became some technical difficulties, so the generation was stopped on October 3, 2001. Since March 2002, NOAA-16 AVHRR SST maps are available again. With the beginning of January 2004, the data of AVHRR on board of NOAA-16 exhibited some anormal features showing strips in the scenes. Facing the \u201cbar coded\u201d images of NOAA16-AVHRR which occurred first in September 2003, continued in January 2004 for the second time and appeared in April 2004 again, DFD has decided to stop the reception of NOAA16 data on April 6th, 2004, and to start the reception of NOAA-17 data on this day. On April 7th, 2004, the production of all former NOAA16-AVHRR products as e.g. the SST composites was successully established. NOAA-17 is an AM sensor which passes central Europe about 2 hours earlier than NOAA-16 (about 10:00 UTC instead of 12:00 UTC for NOAA-16). In spring 2007, the communication system of NOAA-17 has degraded or is operating with limitations. Therefore, DFD has decided to shift the production of higher level products (NDVI, LST and SST) from NOAA-17 to NOAA-18 in April 2007. In order to test the performance of our processing chains, we processed simultaneously all NOAA-17 and NOAA-18 data from January 1st, 2007 till March 29th, 2007. All products are be available via EOWEB. Please remember that NOAA-18 is a PM sensor which passes central Europe about 1.5 hours later than NOAA-17 (about 11:30 UTC instead of 10:00 UTC for NOAA17). The SST product is intended for climate modelers, oceanographers, and all geo science-related disciplines dealing with ocean surface parameters. In addition, SST maps covering the North Atlantic, the Baltic Sea, the North Sea and the Western Atlantic equivalent to the Mediterranean MCSST maps are available since August 1994. The most important aspects of the MCSST maps are a) correct image registration and b) reasonable cloud screening to ensure that only cloud free pixels are taken for the later processing and compositing c) for deriving MCSST, only channel 4 and 5 are used.. The SST product consists of one 8 bit channel. For additional information, please see: https://wdc.dlr.de/sensors/avhrr/", - "license": "proprietary" - }, - { - "id": "8b63d36f6f1e4efa8aea302b924bc46b_NA", - "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 2 aerosol products from AATSR (ORAC Algorithm), Version 4.01", - "catalog": "FEDEO 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/C2548142857-FEDEO.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2548142857-FEDEO.html", - "href": "https://cmr.earthdata.nasa.gov/stac/FEDEO/collections/8b63d36f6f1e4efa8aea302b924bc46b_NA", - "description": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 2 aerosol products from the AATSR instrument on the ENVISAT satellite, derived using the ORAC algorithm, version 4.01. For further details about these data products please see the linked documentation.", - "license": "proprietary" - }, - { - "id": "936b319d-5253-425d-bd29-4b6ebce067ff_NA", - "title": "AVHRR - Land Surface Temperature (LST) - Europe, Nighttime", - "catalog": "FEDEO STAC Catalog", - "state_date": "1998-02-23", - "end_date": "", - "bbox": "-24, 28, 57, 78", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2207458046-FEDEO.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2207458046-FEDEO.html", - "href": "https://cmr.earthdata.nasa.gov/stac/FEDEO/collections/936b319d-5253-425d-bd29-4b6ebce067ff_NA", - "description": "The \"Land Surface Temperature derived from NOAA-AVHRR data (LST_AVHRR)\" is a fixed grid map (in stereographic projection) with a spatial resolution of 1.1 km. The total size covering Europe is 4100 samples by 4300 lines. Within 24 hours of acquiring data from the satellite, day-time and night-time LSTs are calculated. In general, the products utilise data from all six of the passes that the satellite makes over Europe in each 24 hour period. For the daily day-time LST maps, the compositing criterion for the three day-time passes is maximum NDVI value and for daily night-time LST maps, the criterion is the maximum night-time LST value of the three night-time passes. Weekly and monthly day-time or night-time LST composite products are also produced by averaging daily day-time or daily night-time LST values, respectively. The range of LST values is scaled between \u201339.5\u00b0C and +87\u00b0C with a radiometric resolution of 0.5\u00b0C. A value of \u201340\u00b0C is used for water. Clouds are masked out as bad values. For additional information, please see: https://wdc.dlr.de/sensors/avhrr/", - "license": "proprietary" - }, - { - "id": "9f6324ebe92940b989ebf273d5f8bf33_NA", - "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 2 aerosol products from AATSR (ADV Algorithm), Version 2.31", - "catalog": "FEDEO 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/C2548142624-FEDEO.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2548142624-FEDEO.html", - "href": "https://cmr.earthdata.nasa.gov/stac/FEDEO/collections/9f6324ebe92940b989ebf273d5f8bf33_NA", - "description": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 2 aerosol products from the AATSR instrument on ENVISAT, derived using the ADV algorithm, version 2.31. Data is available for the period 2002-2012.For further details about these data products please see the linked documentation.", - "license": "proprietary" - }, { "id": "AAOT_0", "title": "Acqua Alta Oceanographic Tower (AAOT)", @@ -363,318 +220,6 @@ "description": "Measurements made by the Acqua Alta Oceanographic Tower (AAOT), an Italian installation off the coast of Venice in the Adriatic Sea from 1999 to 2002.", "license": "proprietary" }, - { - "id": "ABLVIS1B_1", - "title": "ABoVE LVIS L1B Geolocated Return Energy Waveforms V001", - "catalog": "NSIDC_ECS STAC Catalog", - "state_date": "2017-06-29", - "end_date": "2017-07-17", - "bbox": "-158, 48, -104, 72", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1513105920-NSIDC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1513105920-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/ABLVIS1B_1", - "description": "This data set contains return energy waveform data over Alaska and Western Canada measured by the NASA Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of NASA's Terrestrial Ecology Program campaign, the Arctic-Boreal Vulnerability Experiment (ABoVE).", - "license": "proprietary" - }, - { - "id": "ABLVIS2_1", - "title": "ABoVE LVIS L2 Geolocated Surface Elevation Product V001", - "catalog": "NSIDC_ECS STAC Catalog", - "state_date": "2017-06-29", - "end_date": "2017-07-17", - "bbox": "-158, 48, -104, 72", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1513105984-NSIDC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1513105984-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/ABLVIS2_1", - "description": "This data set contains surface elevation data over Alaska and Western Canada measured by the NASA Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of NASA's Terrestrial Ecology Program campaign, the Arctic-Boreal Vulnerability Experiment (ABoVE).", - "license": "proprietary" - }, - { - "id": "ABOLVIS1A_1", - "title": "ABoVE LVIS L1A Geotagged Images V001", - "catalog": "NSIDC_ECS STAC Catalog", - "state_date": "2017-06-29", - "end_date": "2017-07-17", - "bbox": "-158, 48, -104, 72", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1673546369-NSIDC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1673546369-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/ABOLVIS1A_1", - "description": "This data set contains geotagged images collected over Alaska and Western Canada. The images were taken by the NASA Digital Mapping Camera, paired with the Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of NASA's Terrestrial Ecology Program campaign, the Arctic-Boreal Vulnerability Experiment (ABoVE).", - "license": "proprietary" - }, - { - "id": "ABoVE_ASCENDS_Backscatter_2051_1", - "title": "ABoVE/ASCENDS: Atmospheric Backscattering Coefficient Profiles from CO2 Sounder, 2017", - "catalog": "ORNL_CLOUD STAC Catalog", - "state_date": "2017-07-20", - "end_date": "2017-08-08", - "bbox": "-165.68, 34.59, -98.15, 71.27", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2264344759-ORNL_CLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2264344759-ORNL_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/ABoVE_ASCENDS_Backscatter_2051_1", - "description": "This dataset provides atmospheric backscattering coefficient profiles collected during Active Sensing of CO2 Emissions over Nights, Days, and Seasons (ASCENDS) deployments from 2017-07-20 to 2017-08-08 over Alaska, U.S., and the Yukon and Northwest Territories of Canada. These profiles were measured by the CO2 Sounder Lidar instrument carried on a DC-8 aircraft. The airborne CO2 Sounder is a pulsed, multi-wavelength Integrated Path Differential Absorption lidar that estimates column-averaged dry-air CO2 mixing ratio (XCO2) in the nadir path from the aircraft to the scattering surface. In addition to XCO2, the lidar receiver recorded the time-resolved atmospheric backscatter signal strength as the laser pulses propagated through the atmosphere. Raw lidar data were converted to the atmospheric backscatter cross-section product and the two-way atmosphere transmission, also known as attenuated backscatter profiles. These ASCENDS flights were coordinated with the 2017 Arctic-Boreal Vulnerability Experiment (ABoVE) campaign and are provided in ICARTT format.", - "license": "proprietary" - }, - { - "id": "ABoVE_ASCENDS_Merge_2114_1", - "title": "ABoVE/ASCENDS: Merged Atmospheric CO2, CH4, and Meteorological Data, 2017", - "catalog": "ORNL_CLOUD STAC Catalog", - "state_date": "2017-07-20", - "end_date": "2017-08-09", - "bbox": "-165.68, 34.59, -98.15, 71.27", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2575399701-ORNL_CLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2575399701-ORNL_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/ABoVE_ASCENDS_Merge_2114_1", - "description": "This dataset provides in situ airborne measurements of atmospheric carbon dioxide (CO2), methane (CH4), water vapor concentrations, air temperature, pressure, and wind speed and direction as well as airborne remote sensing measurements of column average CO2 collected during Active Sensing of CO2 Emissions over Nights, Days, and Seasons (ASCENDS) deployments from 2017-07-20 to 2017-08-08 over Alaska, US, and the Yukon and Northwest Territories of Canada. CO2 and CH4 were measured with NASA's Atmospheric Vertical Observations of CO2 in the Earth's Troposphere (AVOCET) instrument. Water vapor and relative humidity were measured with Diode Laser Hydrometer. Measurements were taken onboard a DC-8 aircraft. The ASCENDS flights were coordinated with the 2017 Arctic-Boreal Vulnerability Experiment (ABoVE) campaign. The data are provided in ICARTT format along with an archive of flight videos.", - "license": "proprietary" - }, - { - "id": "ABoVE_ASCENDS_XCO2_2050_1", - "title": "ABoVE/ASCENDS: Active Sensing of CO2, CH4, and Water Vapor, Alaska and Canada, 2017", - "catalog": "ORNL_CLOUD STAC Catalog", - "state_date": "2017-07-20", - "end_date": "2017-08-08", - "bbox": "-165.68, 34.59, -98.1, 71.28", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2264340976-ORNL_CLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2264340976-ORNL_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/ABoVE_ASCENDS_XCO2_2050_1", - "description": "This dataset provides in situ airborne measurements of atmospheric carbon dioxide (CO2), methane (CH4), and water vapor concentrations, plus air temperature, pressure, relative humidity, and wind speed values over Alaska and the Yukon and Northwest Territories of Canada during 2017-07-20 to 2017-08-08. Measurements were taken onboard a DC-8 aircraft during this Active Sensing of CO2 Emissions over Nights, Days and Seasons (ASCENDS) airborne deployment over portions of the Arctic-Boreal Vulnerability Experiment (ABoVE) domain. CO2 and CH4 were measured with NASA's Atmospheric Vertical Observations of CO2 in the Earth's Troposphere (AVOCET) instrument. Water vapor and relative humidity were measured with Diode Laser Hydrometer. Measurements of column-averaged dry-air mixing ratio CO2 measurements (XCO2) were taken with the CO2 Sounder Lidar instrument. The airborne CO2 Sounder is a pulsed, multi-wavelength Integrated Path Differential Absorption lidar. It estimates XCO2 in the nadir path from the aircraft to the scattering surface by measuring the shape of the 1572.33 nm CO2 absorption line. The data were collected in order to capture the spatial and temporal dynamics of the northern high latitude carbon cycle as part of ABoVE and are provided in ICARTT file format.", - "license": "proprietary" - }, - { - "id": "ABoVE_AirSWOT_Radar_Data_1646_1", - "title": "ABoVE: AirSWOT Ka-band Radar over Surface Waters of Alaska and Canada, 2017", - "catalog": "ORNL_CLOUD STAC Catalog", - "state_date": "2017-07-08", - "end_date": "2017-08-17", - "bbox": "-149.83, 46.85, -98.63, 70.49", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2111827036-ORNL_CLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2111827036-ORNL_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/ABoVE_AirSWOT_Radar_Data_1646_1", - "description": "AirSWOT is an airborne calibration and validation instrument for the upcoming Surface Water Topography Mission (SWOT) satellite. AirSWOT is capable of producing high resolution digital elevation models over land and water bodies. This dataset provides AirSWOT Ka-band (35.75 GHz) radar data products collected from an airborne platform over parts of Alaska and Canada during the period 2017-07-09 to 2017-08-17. Flights targeted specific surface water features, including rivers, lakes, ponds, and wetlands in the ABoVE domain. The radar data include six products: elevation (above the WGS84 ellipsoid), incidence angle, magnitude (backscatter), interferometric correlation (coherence), DHDPHI (incidence angle dependent height sensitivity), and error (estimated height random error, 1-sigma standard deviation). The flight lines were selected to span a full spectrum of permafrost conditions (permafrost-free to continuous permafrost, low to high ground ice content), ecosystems, climatic regions, topographic relief, and geological substrates across the ABoVE domain to investigate surface water responses to thawing permafrost and spatial and temporal variability in terrestrial water storage by measuring elevation and extent of surface waters. The data are provided in two forms: 1) the original output (outer-swath products only) at 3.6 m2 resolution in UTM coordinates from the AirSWOT processing group at the Jet Propulsion Laboratory (JPL), and 2) the ABoVE Projection at 3.6 m2 resolution, clipped to the ABoVE reference grid tiles using the C grid.", - "license": "proprietary" - }, - { - "id": "ABoVE_AirSWOT_Water_Mask_1707_1", - "title": "ABoVE: AirSWOT Water Masks from Color-Infrared Imagery over Alaska and Canada, 2017", - "catalog": "ORNL_CLOUD STAC Catalog", - "state_date": "2017-07-09", - "end_date": "2017-08-17", - "bbox": "-152.18, 43.27, -98.64, 76.28", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2143402575-ORNL_CLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2143402575-ORNL_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/ABoVE_AirSWOT_Water_Mask_1707_1", - "description": "This dataset provides 1) a conservative open water mask for future water surface elevation (WSE) extraction from the co-registered AirSWOT Ka-band interferometry data, and 2) high-resolution (1 m) water body distribution maps for water bodies greater than 40 m2 along the NASA Arctic-Boreal Vulnerability Experiment (ABoVE) foundational flight lines. The masks and maps were derived from georeferenced three-band orthomosaics generated from individual images collected during the flights and a semi-automated water classification algorithm based on the Normalized Difference Water Index (NDWI). In total, 3,167 km2 of open water were mapped from 23,380 km2 of flight lines spanning 23 degrees of latitude. Detected water body sizes range from 40 m2 to 15 km2. The image tiles were georeferenced using manually selected ground control points (GCPs). Comparison with manually digitized open water boundaries yields an overall open-water classification accuracy of 98.0%.", - "license": "proprietary" - }, - { - "id": "ABoVE_Concise_Experiment_Plan_1617_1.1", - "title": "A Concise Experiment Plan for the Arctic-Boreal Vulnerability Experiment", - "catalog": "ORNL_CLOUD STAC Catalog", - "state_date": "2014-01-01", - "end_date": "2021-12-31", - "bbox": "-176.12, 39.42, -66.92, 81.61", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2162145735-ORNL_CLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2162145735-ORNL_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/ABoVE_Concise_Experiment_Plan_1617_1.1", - "description": "This document presents the Concise Experiment Plan for NASA's Arctic-Boreal Vulnerability Experiment (ABoVE) to serve as a guide to the Program as it identifies the research to be conducted under this study. Research for ABoVE will link field-based, process-level studies with geospatial data products derived from airborne and satellite remote sensing, providing a foundation for improving the analysis and modeling capabilities needed to understand and predict ecosystem responses and societal implications. The ABoVE Concise Experiment Plan (ACEP) outlines the conceptual basis for the Field Campaign and expresses the compelling rationale explaining the scientific and societal importance of the study. It presents both the science questions driving ABoVE research as well as the top-level requirements for a study design to address them.", - "license": "proprietary" - }, - { - "id": "ABoVE_MODIS_MAIAC_Reflectance_1858_1", - "title": "ABoVE: Angular-corrected MODIS MAIAC Reflectance across Alaska and Canada, 2000-2017", - "catalog": "ORNL_CLOUD STAC Catalog", - "state_date": "2000-02-24", - "end_date": "2017-12-31", - "bbox": "-180, 44.12, 180, 80.81", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2192631093-ORNL_CLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2192631093-ORNL_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/ABoVE_MODIS_MAIAC_Reflectance_1858_1", - "description": "This dataset provides angular corrections of MODIS Multi-Angle Implementation of Atmospheric Correction algorithm (MAIAC) surface reflectances across the ABoVE domain in Alaska and western Canada from 2000 to 2017. Using random forests (RF), a machine-learning approach, the original MAIAC reflectance data were corrected to consistent view and illumination angles (0 degree view zenith angle and 45 degree of sun zenith angle) to reduce artifacts and variability due to angular effects. The original MAIAC data's sub-daily temporal resolution and 1 km spatial resolution with seven land bands (bands 1-7) and five ocean bands (bands 8-12) were preserved. The resulting surface reflectance data are suitable for long-term studies on patterns, processes, and dynamics of surface phenomena. The data cover 11 different Terra and Aqua satellite MODIS MAIAC tiles.", - "license": "proprietary" - }, - { - "id": "ABoVE_Open_Water_Map_1643_1", - "title": "ABoVE: AirSWOT Color-Infrared Imagery Over Alaska and Canada, 2017", - "catalog": "ORNL_CLOUD STAC Catalog", - "state_date": "2017-07-09", - "end_date": "2017-08-17", - "bbox": "-149.26, 46.85, -98.64, 69.47", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2162145875-ORNL_CLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2162145875-ORNL_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/ABoVE_Open_Water_Map_1643_1", - "description": "This dataset contains georeferenced three-band orthomosaics of green, red, and near-infrared (NIR) digital imagery at 1m resolution collected over selected surface waters across Alaska and Canada between July 9 and August 17, 2017. The orthomosaics were generated from individual images collected by a Cirrus Designs Digital Camera System (DCS) mounted on a Beechcraft Super King Air B200 aircraft from approximately 8-11 km altitude. Flights were over the following areas: Saskatchewan River, Saskatoon, Inuvik, Yukon River including Yukon Flats, Sagavanirktok River, Arctic Coastal Plain, Old Crow Flats, Peace-Athabasca Delta, Slave River, Athabasca River, Yellowknife, Great Slave Lake, Mackenzie River and Delta, Daring Lake, and other selected locations. Most locations were imaged twice during two flight campaigns in Canada and Alaska extending roughly SE-NW then NW-SE up to a month apart. The data were georeferenced using 303 ground control points (GCPs) across the study region.", - "license": "proprietary" - }, - { - "id": "ABoVE_PBand_SAR_1657_1", - "title": "ABoVE: Active Layer and Soil Moisture Properties from AirMOSS P-band SAR in Alaska", - "catalog": "ORNL_CLOUD STAC Catalog", - "state_date": "2014-08-16", - "end_date": "2017-10-10", - "bbox": "-167.94, 64.71, -150.25, 70.88", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2170972048-ORNL_CLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2170972048-ORNL_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/ABoVE_PBand_SAR_1657_1", - "description": "This dataset provides estimates of soil geophysical properties derived from Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) P-band polarimetric synthetic aperture radar (PolSAR) data collected in August and October of 2014, 2015, and 2017 over 12 study sites (with some exceptions) across Northern Alaska. Soil properties reported include the active layer thickness (ALT), dielectric constant, soil moisture profile, surface roughness, and their respective uncertainty estimates at 30-m spatial resolution over the 12 flight transects. Most of the study sites are located within the continuous permafrost zone and where the aboveground vegetation consisting mainly of dwarf shrub and tussock/sedge/moss tundra has a minimal impact on P-band radar backscatter.", - "license": "proprietary" - }, - { - "id": "ABoVE_ReSALT_InSAR_PolSAR_V3_2004_3", - "title": "ABoVE: Active Layer Thickness from Airborne L- and P- band SAR, Alaska, 2017, Ver. 3", - "catalog": "ORNL_CLOUD STAC Catalog", - "state_date": "2017-06-19", - "end_date": "2017-09-16", - "bbox": "-166.73, 57.83, -110.42, 71.52", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2432584227-ORNL_CLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2432584227-ORNL_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/ABoVE_ReSALT_InSAR_PolSAR_V3_2004_3", - "description": "This dataset provides estimates of seasonal subsidence, active layer thickness (ALT), the vertical soil moisture profile, and uncertainties at a 30 m resolution for 51 sites across the ABoVE domain, including 39 sites in Alaska and 12 sites in Northwest Canada. The ALT and soil moisture profile retrievals simultaneously use L- and P-band synthetic aperture radar (SAR) data acquired by the NASA/JPL Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) instruments during the 2017 Arctic Boreal Vulnerability Experiment (ABoVE) airborne campaign. The data are provided in NetCDF Version 4 format along with a python script for estimating soil volumetric water content from data.", - "license": "proprietary" - }, - { - "id": "ACCLIP_AerosolCloud_AircraftRemoteSensing_WB57_Data_1", - "title": "ACCLIP WB-57 Aerosol and Cloud Remotely Sensed Data", - "catalog": "LARC_ASDC STAC Catalog", - "state_date": "2022-07-14", - "end_date": "2022-09-14", - "bbox": "-180, 16.6, 180, 61.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2655162569-LARC_ASDC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2655162569-LARC_ASDC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections/ACCLIP_AerosolCloud_AircraftRemoteSensing_WB57_Data_1", - "description": "ACCLIP_AerosolCloud_AircraftRemoteSensing_WB57_Data is the cloud and aerosol remote sensing data from the Roscoe lidar collected during the Asian Summer Monsoon Chemical & Climate Impact Project (ACCLIP). Data collection for this product is complete. ACCLIP is an international, multi-organizational suborbital campaign that aims to study aerosols and chemical transport that is associated with the Asian Summer Monsoon (ASM) in the Western Pacific region from 15 July 2022 to 31 August 2022. The ASM is the largest meteorological pattern in the Northern Hemisphere (NH) during the summer and is associated with persistent convection and large anticyclonic flow patterns in the upper troposphere and lower stratosphere (UTLS). This leads to significant enhancements in the UTLS of trace species that originate from pollution or biomass burning. Convection connected to the ASM occurs over South, Southeast, and East Asia, a region with complex and rapidly changing emissions due to its high population density and economic growth. Pollution that reaches the UTLS from this region can have significant effects on the climate and chemistry of the atmosphere, making it important to have an accurate representation and understanding of ASM transport, chemical, and microphysical processes for chemistry-climate models to characterize these interactions and for predicting future impacts on climate. The ACCLIP campaign is conducted by the National Aeronautics and Space Administration (NASA) and the National Center for Atmospheric Research (NCAR) with the primary goal of investigating the impacts of Asian gas and aerosol emissions on global chemistry and climate. The NASA WB-57 and NCAR G-V aircraft are outfitted with state-of-the-art sensors to accomplish this. ACCLIP seeks to address four scientific objectives related to its main goal. The first is to investigate the transport pathways of ASM uplifted air from inside of the anticyclone to the global UTLS. Another objective is to sample the chemical content of air processed in the ASM in order to quantify the role of the ASM in transporting chemically active species and short-lived climate forcing agents to the UTLS to determine their impact on stratospheric ozone chemistry and global climate. Third, information is obtained on aerosol size, mass, and chemical composition that is necessary for determining the radiative effects of the ASM to constrain models of aerosol formation and for contrasting the organic-rich ASM UTLS aerosol population with that of the background aerosols. Last, ACCLIP seeks to measure the water vapor distribution associated with the monsoon dynamical structure to evaluate transport across the tropopause and determine the role of the ASM in water vapor transport in the stratosphere.", - "license": "proprietary" - }, - { - "id": "ACCLIP_Aerosol_AircraftInSitu_WB57_Data_1", - "title": "ACCLIP WB-57 Aircraft In-Situ Aerosol Data", - "catalog": "LARC_ASDC STAC Catalog", - "state_date": "2022-07-14", - "end_date": "2022-09-14", - "bbox": "-180, 16.6, 180, 61.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2609962127-LARC_ASDC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2609962127-LARC_ASDC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections/ACCLIP_Aerosol_AircraftInSitu_WB57_Data_1", - "description": "ACCLIP_Aerosol_AircraftInSitu_WB57_Data is the in-situ aerosol data collected during the Asian Summer Monsoon Chemical & Climate Impact Project (ACCLIP). Data from the Particle Analysis by Laser Mass Spectrometry - Next Generation (PALMS-NG), Single Particle Soot Photometer (SP2), Nucleation-Mode Aerosol Size Spectrometer (N-MASS), Printed Optical Particle Spectrometer (POPS), and the Ultra-High Sensitivity Aerosol Spectrometer (UHSAS) is featured in this collection. Data collection for this product is complete. ACCLIP is an international, multi-organizational suborbital campaign that aims to study aerosols and chemical transport that is associated with the Asian Summer Monsoon (ASM) in the Western Pacific region from 15 July 2022 to 31 August 2022. The ASM is the largest meteorological pattern in the Northern Hemisphere (NH) during the summer and is associated with persistent convection and large anticyclonic flow patterns in the upper troposphere and lower stratosphere (UTLS). This leads to significant enhancements in the UTLS of trace species that originate from pollution or biomass burning. Convection connected to the ASM occurs over South, Southeast, and East Asia, a region with complex and rapidly changing emissions due to its high population density and economic growth. Pollution that reaches the UTLS from this region can have significant effects on the climate and chemistry of the atmosphere, making it important to have an accurate representation and understanding of ASM transport, chemical, and microphysical processes for chemistry-climate models to characterize these interactions and for predicting future impacts on climate. The ACCLIP campaign is conducted by the National Aeronautics and Space Administration (NASA) and the National Center for Atmospheric Research (NCAR) with the primary goal of investigating the impacts of Asian gas and aerosol emissions on global chemistry and climate. The NASA WB-57 and NCAR G-V aircraft are outfitted with state-of-the-art sensors to accomplish this. ACCLIP seeks to address four scientific objectives related to its main goal. The first is to investigate the transport pathways of ASM uplifted air from inside of the anticyclone to the global UTLS. Another objective is to sample the chemical content of air processed in the ASM in order to quantify the role of the ASM in transporting chemically active species and short-lived climate forcing agents to the UTLS to determine their impact on stratospheric ozone chemistry and global climate. Third, information is obtained on aerosol size, mass, and chemical composition that is necessary for determining the radiative effects of the ASM to constrain models of aerosol formation and for contrasting the organic-rich ASM UTLS aerosol population with that of the background aerosols. Last, ACCLIP seeks to measure the water vapor distribution associated with the monsoon dynamical structure to evaluate transport across the tropopause and determine the role of the ASM in water vapor transport in the stratosphere.", - "license": "proprietary" - }, - { - "id": "ACCLIP_MetNav_AircraftInSitu_WB57_Data_1", - "title": "ACCLIP WB-57 Meteorological and Navigational Data", - "catalog": "LARC_ASDC STAC Catalog", - "state_date": "2022-07-14", - "end_date": "2022-09-14", - "bbox": "180, 16.6, -180, 61.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2566338281-LARC_ASDC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2566338281-LARC_ASDC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections/ACCLIP_MetNav_AircraftInSitu_WB57_Data_1", - "description": "ACCLIP_MetNav_AircraftInSitu_WB57_Data is the in-situ meteorology and navigational data collection during the Asian Summer Monsoon Chemical & Climate Impact Project (ACCLIP). Data from the Meteorological Measurement System (MMS) and Diode Laser Hygrometer (DLH) is featured in this collection. Data collection for this product is complete. ACCLIP is an international, multi-organizational suborbital campaign that aims to study aerosols and chemical transport that is associated with the Asian Summer Monsoon (ASM) in the Western Pacific region from 15 July 2022 to 31 August 2022. The ASM is the largest meteorological pattern in the Northern Hemisphere (NH) during the summer and is associated with persistent convection and large anticyclonic flow patterns in the upper troposphere and lower stratosphere (UTLS). This leads to significant enhancements in the UTLS of trace species that originate from pollution or biomass burning. Convection connected to the ASM occurs over South, Southeast, and East Asia, a region with complex and rapidly changing emissions due to its high population density and economic growth. Pollution that reaches the UTLS from this region can have significant effects on the climate and chemistry of the atmosphere, making it important to have an accurate representation and understanding of ASM transport, chemical, and microphysical processes for chemistry-climate models to characterize these interactions and for predicting future impacts on climate. The ACCLIP campaign is conducted by the National Aeronautics and Space Administration (NASA) and the National Center for Atmospheric Research (NCAR) with the primary goal of investigating the impacts of Asian gas and aerosol emissions on global chemistry and climate. The NASA WB-57 and NCAR G-V aircraft are outfitted with state-of-the-art sensors to accomplish this. ACCLIP seeks to address four scientific objectives related to its main goal. The first is to investigate the transport pathways of ASM uplifted air from inside of the anticyclone to the global UTLS. Another objective is to sample the chemical content of air processed in the ASM in order to quantify the role of the ASM in transporting chemically active species and short-lived climate forcing agents to the UTLS to determine their impact on stratospheric ozone chemistry and global climate. Third, information is obtained on aerosol size, mass, and chemical composition that is necessary for determining the radiative effects of the ASM to constrain models of aerosol formation and for contrasting the organic-rich ASM UTLS aerosol population with that of the background aerosols. Last, ACCLIP seeks to measure the water vapor distribution associated with the monsoon dynamical structure to evaluate transport across the tropopause and determine the role of the ASM in water vapor transport in the stratosphere.", - "license": "proprietary" - }, - { - "id": "ACCLIP_Model_WB57_Data_1", - "title": "ACCLIP WB-57 Aircraft Model Data", - "catalog": "LARC_ASDC STAC Catalog", - "state_date": "2022-07-14", - "end_date": "2022-09-14", - "bbox": "-180, 16.6, 180, 61.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2609869612-LARC_ASDC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2609869612-LARC_ASDC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections/ACCLIP_Model_WB57_Data_1", - "description": "ACCLIP_Model_WB57_Data contains modeled meteorological, chemical, and aerosol data along the flight tracks of the WB-57 aircraft during the Asian Summer Monsoon Chemical & Climate Impact Project (ACCLIP). Data collection for this product is complete. ACCLIP is an international, multi-organizational suborbital campaign that aims to study aerosols and chemical transport that is associated with the Asian Summer Monsoon (ASM) in the Western Pacific region from 15 July 2022 to 31 August 2022. The ASM is the largest meteorological pattern in the Northern Hemisphere (NH) during the summer and is associated with persistent convection and large anticyclonic flow patterns in the upper troposphere and lower stratosphere (UTLS). This leads to significant enhancements in the UTLS of trace species that originate from pollution or biomass burning. Convection connected to the ASM occurs over South, Southeast, and East Asia, a region with complex and rapidly changing emissions due to its high population density and economic growth. Pollution that reaches the UTLS from this region can have significant effects on the climate and chemistry of the atmosphere, making it important to have an accurate representation and understanding of ASM transport, chemical, and microphysical processes for chemistry-climate models to characterize these interactions and for predicting future impacts on climate. The ACCLIP campaign is conducted by the National Aeronautics and Space Administration (NASA) and the National Center for Atmospheric Research (NCAR) with the primary goal of investigating the impacts of Asian gas and aerosol emissions on global chemistry and climate. The NASA WB-57 and NCAR G-V aircraft are outfitted with state-of-the-art sensors to accomplish this. ACCLIP seeks to address four scientific objectives related to its main goal. The first is to investigate the transport pathways of ASM uplifted air from inside of the anticyclone to the global UTLS. Another objective is to sample the chemical content of air processed in the ASM in order to quantify the role of the ASM in transporting chemically active species and short-lived climate forcing agents to the UTLS to determine their impact on stratospheric ozone chemistry and global climate. Third, information is obtained on aerosol size, mass, and chemical composition that is necessary for determining the radiative effects of the ASM to constrain models of aerosol formation and for contrasting the organic-rich ASM UTLS aerosol population with that of the background aerosols. Last, ACCLIP seeks to measure the water vapor distribution associated with the monsoon dynamical structure to evaluate transport across the tropopause and determine the role of the ASM in water vapor transport in the stratosphere.", - "license": "proprietary" - }, - { - "id": "ACCLIP_TraceGas_AircraftInSitu_WB57_Data_1", - "title": "ACCLIP WB-57 Aircraft In-situ Trace Gas Data", - "catalog": "LARC_ASDC STAC Catalog", - "state_date": "2022-07-14", - "end_date": "2022-09-14", - "bbox": "180, 16.6, -180, 61.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2566342407-LARC_ASDC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2566342407-LARC_ASDC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections/ACCLIP_TraceGas_AircraftInSitu_WB57_Data_1", - "description": "ACCLIP_TraceGas_AircraftInSitu_WB57_Data is the in-situ trace gas data collection during the Asian Summer Monsoon Chemical & Climate Impact Project (ACCLIP). Data from the Airborne Carbon Oxide Sulfide Spectrometer (ACOS), Carbon monOxide Measurement from Ames (COMA), Laser Induced Fluorescence - Nitrogen Oxide (LIF-NO), In Situ Airborne Formaldehyde (ISAF), Carbon Oxide Laser Detector 2 (COLD 2), and the NOAA UAS O3 Photometer (UASO3) is featured in this collection. Data collection for this product is complete. ACCLIP is an international, multi-organizational suborbital campaign that aims to study aerosols and chemical transport that is associated with the Asian Summer Monsoon (ASM) in the Western Pacific region from 15 July 2022 to 31 August 2022. The ASM is the largest meteorological pattern in the Northern Hemisphere (NH) during the summer and is associated with persistent convection and large anticyclonic flow patterns in the upper troposphere and lower stratosphere (UTLS). This leads to significant enhancements in the UTLS of trace species that originate from pollution or biomass burning. Convection connected to the ASM occurs over South, Southeast, and East Asia, a region with complex and rapidly changing emissions due to its high population density and economic growth. Pollution that reaches the UTLS from this region can have significant effects on the climate and chemistry of the atmosphere, making it important to have an accurate representation and understanding of ASM transport, chemical, and microphysical processes for chemistry-climate models to characterize these interactions and for predicting future impacts on climate. The ACCLIP campaign is conducted by the National Aeronautics and Space Administration (NASA) and the National Center for Atmospheric Research (NCAR) with the primary goal of investigating the impacts of Asian gas and aerosol emissions on global chemistry and climate. The NASA WB-57 and NCAR G-V aircraft are outfitted with state-of-the-art sensors to accomplish this. ACCLIP seeks to address four scientific objectives related to its main goal. The first is to investigate the transport pathways of ASM uplifted air from inside of the anticyclone to the global UTLS. Another objective is to sample the chemical content of air processed in the ASM in order to quantify the role of the ASM in transporting chemically active species and short-lived climate forcing agents to the UTLS to determine their impact on stratospheric ozone chemistry and global climate. Third, information is obtained on aerosol size, mass, and chemical composition that is necessary for determining the radiative effects of the ASM to constrain models of aerosol formation and for contrasting the organic-rich ASM UTLS aerosol population with that of the background aerosols. Last, ACCLIP seeks to measure the water vapor distribution associated with the monsoon dynamical structure to evaluate transport across the tropopause and determine the role of the ASM in water vapor transport in the stratosphere.", - "license": "proprietary" - }, - { - "id": "ACEPOL_AircraftRemoteSensing_AirHARP_Data_1", - "title": "ACEPOL Airborne Hyper Angular Rainbow Polarimeter (AirHARP) Remotely Sensed Data Version 1", - "catalog": "LARC_ASDC STAC Catalog", - "state_date": "2017-10-18", - "end_date": "2020-11-20", - "bbox": "-130, 25, -100, 45", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1758588261-LARC_ASDC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1758588261-LARC_ASDC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections/ACEPOL_AircraftRemoteSensing_AirHARP_Data_1", - "description": "ACEPOL Airborne Hyper Angular Rainbow Polarimeter (AirHARP) Remotely Sensed Data (ACEPOL_AircraftRemoteSensing_AirHARP_Data) are remotely sensed measurements collected by the Airborne Hyper Angular Rainbow Polarimeter (AirHARP) onboard the ER-2 during ACEPOL. In order to improve our understanding of the effect of aerosols on climate and air quality, measurements of aerosol chemical composition, size distribution, height profile, and optical properties are of crucial importance. In terms of remotely sensed instrumentation, the most extensive set of aerosol properties can be obtained by combining passive multi-angle, multi-spectral measurements of intensity and polarization with active measurements performed by a High Spectral Resolution Lidar. During Fall 2017, the Aerosol Characterization from Polarimeter and Lidar (ACEPOL) campaign, jointly sponsored by NASA and the Netherlands Institute for Space Research (SRON), performed aerosol and cloud measurements over the United States from the NASA high altitude ER-2 aircraft. Six instruments were deployed on the aircraft. Four of these instruments were multi-angle polarimeters: the Airborne Hyper Angular Rainbow Polarimeter (AirHARP), the Airborne Multiangle SpectroPolarimetric Imager (AirMSPI), the Airborne Spectrometer for Planetary Exploration (SPEX Airborne) and the Research Scanning Polarimeter (RSP). The other two instruments were lidars: the High Spectral Resolution Lidar 2 (HSRL-2) and the Cloud Physics Lidar (CPL). The ACEPOL operation was based at NASA\u2019s Armstrong Flight Research Center in Palmdale California, which enabled observations of a wide variety of scene types, including urban, desert, forest, coastal ocean and agricultural areas, with clear, cloudy, polluted and pristine atmospheric conditions. The primary goal of ACEPOL was to assess the capabilities of the different polarimeters for retrieval of aerosol and cloud microphysical and optical parameters, as well as their capabilities to derive aerosol layer height (near-UV polarimetry, O2 A-band). ACEPOL also focused on the development and evaluation of aerosol retrieval algorithms that combine data from both active (lidar) and passive (polarimeter) instruments. ACEPOL data are appropriate for algorithm development and testing, instrument intercomparison, and investigations of active and passive instrument data fusion, which is a valuable resource for remote sensing communities as they prepare for the next generation of spaceborne MAP and lidar missions.", - "license": "proprietary" - }, - { - "id": "ACEPOL_AircraftRemoteSensing_AirSPEX_Data_1", - "title": "ACEPOL Airborne Spectrometer for Planetary Exploration (AirSPEX) Remotely Sensed Data Version 1", - "catalog": "LARC_ASDC STAC Catalog", - "state_date": "2017-10-19", - "end_date": "2017-11-09", - "bbox": "-130, 25, -100, 45", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1758588281-LARC_ASDC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1758588281-LARC_ASDC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections/ACEPOL_AircraftRemoteSensing_AirSPEX_Data_1", - "description": "ACEPOL_AircraftRemoteSensing_AirSPEX_Data are remotely sensed measurements collected by the Airborne Spectrometer for Planetary Exploration (SPEX Airborne) onboard the ER-2 during ACEPOL. In order to improve our understanding of the effect of aerosols on climate and air quality, measurements of aerosol chemical composition, size distribution, height profile, and optical properties are of crucial importance. In terms of remotely sensed instrumentation, the most extensive set of aerosol properties can be obtained by combining passive multi-angle, multi-spectral measurements of intensity and polarization with active measurements performed by a High Spectral Resolution Lidar. During Fall 2017, the Aerosol Characterization from Polarimeter and Lidar (ACEPOL) campaign, jointly sponsored by NASA and the Netherlands Institute for Space Research (SRON), performed aerosol and cloud measurements over the United States from the NASA high altitude ER-2 aircraft. Six instruments were deployed on the aircraft. Four of these instruments were multi-angle polarimeters: the Airborne Hyper Angular Rainbow Polarimeter (AirHARP), the Airborne Multiangle SpectroPolarimetric Imager (AirMSPI), the Airborne Spectrometer for Planetary Exploration (SPEX Airborne) and the Research Scanning Polarimeter (RSP). The other two instruments were lidars: the High Spectral Resolution Lidar 2 (HSRL-2) and the Cloud Physics Lidar (CPL). The ACEPOL operation was based at NASA\u2019s Armstrong Flight Research Center in Palmdale California, which enabled observations of a wide variety of scene types, including urban, desert, forest, coastal ocean and agricultural areas, with clear, cloudy, polluted and pristine atmospheric conditions. The primary goal of ACEPOL was to assess the capabilities of the different polarimeters for retrieval of aerosol and cloud microphysical and optical parameters, as well as their capabilities to derive aerosol layer height (near-UV polarimetry, O2 A-band). ACEPOL also focused on the development and evaluation of aerosol retrieval algorithms that combine data from both active (lidar) and passive (polarimeter) instruments. ACEPOL data are appropriate for algorithm development and testing, instrument intercomparison, and investigations of active and passive instrument data fusion, which make them valuable resources for remote sensing communities as they prepare for the next generation of spaceborne MAP and lidar missions.", - "license": "proprietary" - }, - { - "id": "ACEPOL_AircraftRemoteSensing_CPL_Data_1", - "title": "ACEPOL Cloud Physics Lidar (CPL) Remotely Sensed Data Version 1", - "catalog": "LARC_ASDC STAC Catalog", - "state_date": "2017-10-19", - "end_date": "2017-11-09", - "bbox": "-130, 25, -100, 45", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1758588308-LARC_ASDC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1758588308-LARC_ASDC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections/ACEPOL_AircraftRemoteSensing_CPL_Data_1", - "description": "ACEPOL Cloud Physics Lidar (CPL) Remotely Sensed Data (ACEPOL_AircraftRemoteSensing_CPL_Data) are remotely sensed measurements collected by the Cloud Physics Lidar (CPL) onboard the ER-2 during ACEPOL. In order to improve our understanding of the effect of aerosols on climate and air quality, measurements of aerosol chemical composition, size distribution, height profile, and optical properties are of crucial importance. In terms of remotely sensed instrumentation, the most extensive set of aerosol properties can be obtained by combining passive multi-angle, multi-spectral measurements of intensity and polarization with active measurements performed by a High Spectral Resolution Lidar. During Fall 2017, the Aerosol Characterization from Polarimeter and Lidar (ACEPOL) campaign, jointly sponsored by NASA and the Netherlands Institute for Space Research (SRON), performed aerosol and cloud measurements over the United States from the NASA high altitude ER-2 aircraft. Six instruments were deployed on the aircraft. Four of these instruments were multi-angle polarimeters: the Airborne Hyper Angular Rainbow Polarimeter (AirHARP), the Airborne Multiangle SpectroPolarimetric Imager (AirMSPI), the Airborne Spectrometer for Planetary Exploration (SPEX Airborne) and the Research Scanning Polarimeter (RSP). The other two instruments were lidars: the High Spectral Resolution Lidar 2 (HSRL-2) and the Cloud Physics Lidar (CPL). The ACEPOL operation was based at NASA\u2019s Armstrong Flight Research Center in Palmdale California, which enabled observations of a wide variety of scene types, including urban, desert, forest, coastal ocean and agricultural areas, with clear, cloudy, polluted and pristine atmospheric conditions. The primary goal of ACEPOL was to assess the capabilities of the different polarimeters for retrieval of aerosol and cloud microphysical and optical parameters, as well as their capabilities to derive aerosol layer height (near-UV polarimetry, O2 A-band). ACEPOL also focused on the development and evaluation of aerosol retrieval algorithms that combine data from both active (lidar) and passive (polarimeter) instruments. ACEPOL data are appropriate for algorithm development and testing, instrument intercomparison, and investigations of active and passive instrument data fusion, which make them valuable resources for remote sensing communities as they prepare for the next generation of spaceborne MAP and lidar missions.", - "license": "proprietary" - }, - { - "id": "ACEPOL_AircraftRemoteSensing_HSRL2_Data_1", - "title": "ACEPOL High Spectral Resolution Lidar 2 (HSRL-2) Remotely Sensed Data", - "catalog": "LARC_ASDC STAC Catalog", - "state_date": "2017-10-23", - "end_date": "2017-11-09", - "bbox": "-130, 25, -100, 45", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1758588330-LARC_ASDC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1758588330-LARC_ASDC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections/ACEPOL_AircraftRemoteSensing_HSRL2_Data_1", - "description": "ACEPOL High Spectral Resolution Lidar 2 (HSRL-2) Remotely Sensed Data (ACEPOL_AircraftRemoteSensing_HSRL2_Data) are remotely sensed measurements collected by the High-Spectral Resolution Lidar (HSRL-2) onboard the ER-2 during ACEPOL. In order to improve our understanding of the effect of aerosols on climate and air quality, measurements of aerosol chemical composition, size distribution, height profile, and optical properties are of crucial importance. In terms of remotely sensed instrumentation, the most extensive set of aerosol properties can be obtained by combining passive multi-angle, multi-spectral measurements of intensity and polarization with active measurements performed by a High Spectral Resolution Lidar. During Fall 2017, the Aerosol Characterization from Polarimeter and Lidar (ACEPOL) campaign, jointly sponsored by NASA and the Netherlands Institute for Space Research (SRON), performed aerosol and cloud measurements over the United States from the NASA high altitude ER-2 aircraft. Six instruments were deployed on the aircraft. Four of these instruments were multi-angle polarimeters: the Airborne Hyper Angular Rainbow Polarimeter (AirHARP), the Airborne Multiangle SpectroPolarimetric Imager (AirMSPI), the Airborne Spectrometer for Planetary Exploration (SPEX Airborne) and the Research Scanning Polarimeter (RSP). The other two instruments were lidars: the High Spectral Resolution Lidar 2 (HSRL-2) and the Cloud Physics Lidar (CPL). The ACEPOL operation was based at NASA\u2019s Armstrong Flight Research Center in Palmdale California, which enabled observations of a wide variety of scene types, including urban, desert, forest, coastal ocean and agricultural areas, with clear, cloudy, polluted and pristine atmospheric conditions. The primary goal of ACEPOL was to assess the capabilities of the different polarimeters for retrieval of aerosol and cloud microphysical and optical parameters, as well as their capabilities to derive aerosol layer height (near-UV polarimetry, O2 A-band). ACEPOL also focused on the development and evaluation of aerosol retrieval algorithms that combine data from both active (lidar) and passive (polarimeter) instruments. ACEPOL data are appropriate for algorithm development and testing, instrument intercomparison, and investigations of active and passive instrument data fusion, which make them valuable resources for remote sensing communities as they prepare for the next generation of spaceborne MAP and lidar missions.", - "license": "proprietary" - }, - { - "id": "ACEPOL_AircraftRemoteSensing_RSP_Data_1", - "title": "ACEPOL Research Scanning Polarimeter (RSP) Remotely Sensed Data Version 1", - "catalog": "LARC_ASDC STAC Catalog", - "state_date": "2017-10-23", - "end_date": "2017-11-09", - "bbox": "-130, 25, -100, 45", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1758588354-LARC_ASDC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1758588354-LARC_ASDC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections/ACEPOL_AircraftRemoteSensing_RSP_Data_1", - "description": "ACEPOL Research Scanning Polarimeter (RSP) Remotely Sensed Data (ACEPOL_AircraftRemoteSensing_RSP_Data) are remotely sensed measurements collected by the Research Scanning Polarimeter (RSP) onboard the ER-2 during ACEPOL. In order to improve our understanding of the effect of aerosols on climate and air quality, measurements of aerosol chemical composition, size distribution, height profile, and optical properties are of crucial importance. In terms of remotely sensed instrumentation, the most extensive set of aerosol properties can be obtained by combining passive multi-angle, multi-spectral measurements of intensity and polarization with active measurements performed by a High Spectral Resolution Lidar. During Fall 2017, the Aerosol Characterization from Polarimeter and Lidar (ACEPOL) campaign, jointly sponsored by NASA and the Netherlands Institute for Space Research (SRON), performed aerosol and cloud measurements over the United States from the NASA high altitude ER-2 aircraft. Six instruments were deployed on the aircraft. Four of these instruments were multi-angle polarimeters: the Airborne Hyper Angular Rainbow Polarimeter (AirHARP), the Airborne Multiangle SpectroPolarimetric Imager (AirMSPI), the Airborne Spectrometer for Planetary Exploration (SPEX Airborne) and the Research Scanning Polarimeter (RSP). The other two instruments were lidars: the High Spectral Resolution Lidar 2 (HSRL-2) and the Cloud Physics Lidar (CPL). The ACEPOL operation was based at NASA\u2019s Armstrong Flight Research Center in Palmdale California, which enabled observations of a wide variety of scene types, including urban, desert, forest, coastal ocean and agricultural areas, with clear, cloudy, polluted and pristine atmospheric conditions. The primary goal of ACEPOL was to assess the capabilities of the different polarimeters for retrieval of aerosol and cloud microphysical and optical parameters, as well as their capabilities to derive aerosol layer height (near-UV polarimetry, O2 A-band). ACEPOL also focused on the development and evaluation of aerosol retrieval algorithms that combine data from both active (lidar) and passive (polarimeter) instruments. ACEPOL data are appropriate for algorithm development and testing, instrument intercomparison, and investigations of active and passive instrument data fusion, which is a valuable resource for remote sensing communities as they prepare for the next generation of spaceborne MAP and lidar missions.", - "license": "proprietary" - }, - { - "id": "ACEPOL_MetNav_AircraftInSitu_Data_1", - "title": "ACEPOL ER-2 Meteorological and Navigational Data Version 1", - "catalog": "LARC_ASDC STAC Catalog", - "state_date": "2017-10-19", - "end_date": "2017-11-09", - "bbox": "-130, 25, -100, 45", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1758588825-LARC_ASDC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1758588825-LARC_ASDC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections/ACEPOL_MetNav_AircraftInSitu_Data_1", - "description": "ACEPOL_MetNav_AircraftInSitu_Data are in situ meteorological and navigational measurements collected onboard the ER-2 during ACEPOL. In order to improve our understanding of the effect of aerosols on climate and air quality, measurements of aerosol chemical composition, size distribution, height profile, and optical properties are of crucial importance. In terms of remotely sensed instrumentation, the most extensive set of aerosol properties can be obtained by combining passive multi-angle, multi-spectral measurements of intensity and polarization with active measurements performed by a High Spectral Resolution Lidar. During Fall 2017, the Aerosol Characterization from Polarimeter and Lidar (ACEPOL) campaign, jointly sponsored by NASA and the Netherlands Institute for Space Research (SRON), performed aerosol and cloud measurements over the United States from the NASA high altitude ER-2 aircraft. Six instruments were deployed on the aircraft. Four of these instruments were multi-angle polarimeters: the Airborne Hyper Angular Rainbow Polarimeter (AirHARP), the Airborne Multiangle SpectroPolarimetric Imager (AirMSPI), the Airborne Spectrometer for Planetary Exploration (SPEX Airborne) and the Research Scanning Polarimeter (RSP). The other two instruments were lidars: the High Spectral Resolution Lidar 2 (HSRL-2) and the Cloud Physics Lidar (CPL). The ACEPOL operation was based at NASA\u2019s Armstrong Flight Research Center in Palmdale California, which enabled observations of a wide variety of scene types, including urban, desert, forest, coastal ocean and agricultural areas, with clear, cloudy, polluted and pristine atmospheric conditions. The primary goal of ACEPOL was to assess the capabilities of the different polarimeters for retrieval of aerosol and cloud microphysical and optical parameters, as well as their capabilities to derive aerosol layer height (near-UV polarimetry, O2 A-band). ACEPOL also focused on the development and evaluation of aerosol retrieval algorithms that combine data from both active (lidar) and passive (polarimeter) instruments. ACEPOL data are appropriate for algorithm development and testing, instrument intercomparison, and investigations of active and passive instrument data fusion, which make them valuable resources for remote sensing communities as they prepare for the next generation of spaceborne MAP and lidar missions.", - "license": "proprietary" - }, { "id": "ACIDD_0", "title": "Across the Channel Investigating Diel Dynamics project", @@ -688,214 +233,6 @@ "description": "The ACIDD (Across the Channel Investigating Diel Dynamics) project, in the Santa Barbara Channel, was initially designed to characterize daily variations in phytoplankton populations, but with the Thomas Fire in the Santa Barbara Hills December 2017, this project evolved into a study to characterize the effects of smoke and ash on the mixed layer in the Santa Barbara Channel.", "license": "proprietary" }, - { - "id": "ACOS_L2S_7.3", - "title": "ACOS GOSAT/TANSO-FTS Level 2 Full Physics Standard Product V7.3 (ACOS_L2S) at GES DISC", - "catalog": "GES_DISC STAC Catalog", - "state_date": "2009-04-20", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1339230297-GES_DISC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1339230297-GES_DISC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections/ACOS_L2S_7.3", - "description": "Version 7.3 is the current version of the data set. Version 3.5 is no longer available and has been superseded by Version 7.3. This data set is currently provided by the OCO (Orbiting Carbon Observatory) Project. In expectation of the OCO-2 launch, the algorithm was developed by the Atmospheric CO2 Observations from Space (ACOS) Task as a preparatory project, using GOSAT TANSO-FTS spectra. After the OCO-2 launch, \"ACOS\" data are still produced and improved, using approaches applied to the OCO-2 spectra. The \"ACOS\" data set contains Carbon Dioxide (CO2) column averaged dry air mole fraction for all soundings for which retrieval was attempted. These are the highest-level products made available by the OCO Project, using TANSO-FTS spectral radiances, and algorithm build version 7.3. The GOSAT team at JAXA produces GOSAT TANSO-FTS Level 1B (L1B) data products for internal use and for distribution to collaborative partners, such as ESA and NASA. These calibrated products are augmented by the OCO Project with additional geolocation information and further corrections. Thus produced Level 1B products (with calibrated radiances and geolocation) are the input to the \"ACOS\" Level 2 production process. Even though the GES DISC is not publicly distributing Level 1B ACOS products, it should be known that changes in this version are affecting both Level 1B and Level 2 data. An important enhancement in Level1B will address the degradation in the number of quality-passed soundings. Elimination of many systematic biases, and better agreement with TCCON (Total Carbon Column Observing Network), is expected in Level 2 retrievals. The key changes to the L2 algorithm include scaling the O2-A band spectroscopy (reducing XCO2 bias by 4 or 5 ppm); using interpolation with the instrument lineshape [ ILS ] (reducing XCO2 bias by 1.5 ppm); and fitting a zero level offset to the A-band. Users have to also carefully familiarize themselves with the disclaimer in the new documentation. An important element to note are the updates on data screening. Although a Master Quality Flag is provided in the data product, further analysis of a larger set of data has allowed the science team to provide an updated set of screening criteria. These are listed in the data user's guide, and are recommended instead of the Master Quality Flag. Lastly, users should continue to carefully observe and weigh information from three important flags: \"warn_level\" - Provides a value that summarizes each sounding's acceptability to a larger set of quality filters. A high warn level predicts that the sounding would fail most data filters applied to it. A low warn level suggests that the sounding would pass most quality filters that might be applied. \"sounding_qual_flag\" - quality of input data provided to the retrieval processing \"outcome_flag\" - retrieval quality based upon certain internal thresholds (not thoroughly evaluated) \"master_quality_flag\" - four possible values: \"Good\", \"Caution\" and \"Bad\", and \"Failed\", as determined from other flags in the L2 productThe short name for this data type is ACOS_L2S.", - "license": "proprietary" - }, - { - "id": "ACOS_L2S_9r", - "title": "ACOS GOSAT/TANSO-FTS Level 2 Full Physics Standard Product V9r (ACOS_L2S) at GES DISC", - "catalog": "GES_DISC STAC Catalog", - "state_date": "2009-04-20", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1633158704-GES_DISC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1633158704-GES_DISC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections/ACOS_L2S_9r", - "description": "Version 9r is the current version of the data set. Older versions will no longer be available and are superseded by Version 9r. This data set is currently provided by the OCO (Orbiting Carbon Observatory) Project. In expectation of the OCO-2 launch, the algorithm was developed by the Atmospheric CO2 Observations from Space (ACOS) Task as a preparatory project, using GOSAT TANSO-FTS spectra. After the OCO-2 launch, \"ACOS\" data are still produced and improved, using approaches applied to the OCO-2 spectra. The \"ACOS\" data set contains Carbon Dioxide (CO2) column averaged dry air mole fraction for all soundings for which retrieval was attempted. These are the highest-level products made available by the OCO Project, using TANSO-FTS spectral radiances, and algorithm build version 7.3. The GOSAT team at JAXA produces GOSAT TANSO-FTS Level 1B (L1B) data products for internal use and for distribution to collaborative partners, such as ESA and NASA. These calibrated products are augmented by the OCO Project with additional geolocation information and further corrections. Thus produced Level 1B products (with calibrated radiances and geolocation) are the input to the \"ACOS\" Level 2 production process. Even though the GES DISC is not publicly distributing Level 1B ACOS products, it should be known that changes in this version are affecting both Level 1B and Level 2 data. An important enhancement in Level1B will address the degradation in the number of quality-passed soundings. Elimination of many systematic biases, and better agreement with TCCON (Total Carbon Column Observing Network), is expected in Level 2 retrievals. The key changes to the L2 algorithm include scaling the O2-A band spectroscopy (reducing XCO2 bias by 4 or 5 ppm); using interpolation with the instrument lineshape [ ILS ] (reducing XCO2 bias by 1.5 ppm); and fitting a zero level offset to the A-band. Users have to also carefully familiarize themselves with the disclaimer in the new documentation. An important element to note are the updates on data screening. Although a Master Quality Flag is provided in the data product, further analysis of a larger set of data has allowed the science team to provide an updated set of screening criteria. These are listed in the data user's guide, and are recommended instead of the Master Quality Flag. Lastly, users should continue to carefully observe and weigh information from three important flags: \"sounding_qual_flag\" - quality of input data provided to the retrieval processing \"outcome_flag\" - retrieval quality based upon certain internal thresholds (not thoroughly evaluated) ", - "license": "proprietary" - }, - { - "id": "ACOS_L2_Lite_FP_7.3", - "title": "ACOS GOSAT/TANSO-FTS Level 2 bias-corrected XCO2 and other select fields from the full-physics retrieval aggregated as daily files V7.3 (ACOS_L2_Lite_FP) at GES DISC", - "catalog": "GES_DISC STAC Catalog", - "state_date": "2009-04-21", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1339230298-GES_DISC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1339230298-GES_DISC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections/ACOS_L2_Lite_FP_7.3", - "description": "The ACOS Lite files contain bias-corrected XCO2 along with other select fields aggregated as daily files. Orbital granules of the ACOS Level 2 standard product (ACOS_L2S) are used as input. The \"ACOS\" data set contains Carbon Dioxide (CO2) column averaged dry air mole fraction for all soundings for which retrieval was attempted. These are the highest-level products made available by the OCO Project, using TANSO-FTS spectral radiances. The GOSAT team at JAXA produces GOSAT TANSO-FTS Level 1B (L1B) data products for internal use and for distribution to collaborative partners, such as ESA and NASA. These calibrated products are augmented by the OCO Project with additional geolocation information and further corrections. Thus produced Level 1B products (with calibrated radiances and geolocation) are the input to the \"ACOS\" Level 2 production process.", - "license": "proprietary" - }, - { - "id": "ACOS_L2_Lite_FP_9r", - "title": "ACOS GOSAT/TANSO-FTS Level 2 bias-corrected XCO2 and other select fields from the full-physics retrieval aggregated as daily files V9r (ACOS_L2_Lite_FP) at GES DISC", - "catalog": "GES_DISC STAC Catalog", - "state_date": "2009-04-20", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1720416694-GES_DISC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1720416694-GES_DISC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections/ACOS_L2_Lite_FP_9r", - "description": "Version 9r is the current version of the data set. Older versions will no longer be available and are superseded by Version 9r. The ACOS Lite files contain bias-corrected XCO2 along with other select fields aggregated as daily files. Orbital granules of the ACOS Level 2 standard product (ACOS_L2S) are used as input. The \"ACOS\" data set contains Carbon Dioxide (CO2) column averaged dry air mole fraction for all soundings for which retrieval was attempted. These are the highest-level products made available by the OCO Project, using TANSO-FTS spectral radiances. The GOSAT team at JAXA produces GOSAT TANSO-FTS Level 1B (L1B) data products for internal use and for distribution to collaborative partners, such as ESA and NASA. These calibrated products are augmented by the OCO Project with additional geolocation information and further corrections. Thus produced Level 1B products (with calibrated radiances and geolocation) are the input to the \"ACOS\" Level 2 production process.", - "license": "proprietary" - }, - { - "id": "ACR3L2DM_1", - "title": "ACRIM III Level 2 Daily Mean Data V001", - "catalog": "LARC STAC Catalog", - "state_date": "2000-04-05", - "end_date": "2013-11-09", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179031504-LARC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179031504-LARC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections/ACR3L2DM_1", - "description": "ACR3L2DM_1 is the Active Cavity Radiometer Irradiance Monitor (ACRIM) III Level 2 Daily Mean Data version 1 product consists of Level 2 total solar irradiance in the form of daily means gathered by the ACRIM III instrument on the ACRIMSAT satellite. The daily means are constructed from the shutter cycle results for each day.", - "license": "proprietary" - }, - { - "id": "ACR3L2SC_1", - "title": "ACRIM III Level 2 Shutter Cycle Data V001", - "catalog": "LARC STAC Catalog", - "state_date": "2000-04-05", - "end_date": "2013-11-09", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C61787524-LARC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C61787524-LARC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections/ACR3L2SC_1", - "description": "ACR3L2SC_1 is the Active Cavity Radiometer Irradiance Monitor (ACRIM) III Level 2 Shutter Cycle Data version 1 product contains Level 2 total solar irradiance in the form of shutter cycles gathered by the ACRIM instrument on the ACRIMSAT satellite.", - "license": "proprietary" - }, - { - "id": "ACTIVATE-FLEXPART_1", - "title": "ACTIVATE FLEXible PARTicle (FLEXPART) Dispersion Model Back-trajectories", - "catalog": "LARC_ASDC STAC Catalog", - "state_date": "2020-02-14", - "end_date": "2022-06-30", - "bbox": "180, 0, -180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2647129204-LARC_ASDC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2647129204-LARC_ASDC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections/ACTIVATE-FLEXPART_1", - "description": "ACTIVATE-FLEXPART is the FLEXible PARTicle dispersion model back-trajectories ending at the HU-25 Falcon locations. ACTIVATE was a 5-year NASA Earth-Venture Sub-Orbital (EVS-3) field campaign. Marine boundary layer clouds play a critical role in Earth\u2019s 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.", - "license": "proprietary" - }, - { - "id": "ACTIVATE-Satellite_1", - "title": "ACTIVATE GOES-16 Supplementary Data Products", - "catalog": "LARC_ASDC STAC Catalog", - "state_date": "2020-09-20", - "end_date": "2022-10-31", - "bbox": "-95, 0, -25, 60", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2647017088-LARC_ASDC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2647017088-LARC_ASDC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections/ACTIVATE-Satellite_1", - "description": "ACTIVATE_Satellite_Data_1 is the GOES-16 satellite data supporting the ACTIVATE suborbital campaign. ACTIVATE was a 5-year NASA Earth-Venture Sub-Orbital (EVS-3) field campaign. Marine boundary layer clouds play a critical role in Earth\u2019s 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.", - "license": "proprietary" - }, - { - "id": "ACTIVATE_AerosolCloud_AircraftRemoteSensing_KingAir_Data_1", - "title": "ACTIVATE King Air Aerosol and Cloud Remotely Sensed Data", - "catalog": "LARC_ASDC STAC Catalog", - "state_date": "2020-02-10", - "end_date": "2022-06-30", - "bbox": "-85, 25, -58.5, 50", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1994461250-LARC_ASDC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1994461250-LARC_ASDC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections/ACTIVATE_AerosolCloud_AircraftRemoteSensing_KingAir_Data_1", - "description": "ACTIVATE_AerosolCloud_AircraftRemoteSensing_KingAir_Data is the aerosol and cloud data collected onboard the B-200 King Air aircraft via remote sensing 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\u2019s 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. Marine boundary layer clouds play a critical role in Earth\u2019s 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 is a five-year project (January 2019-December 2023) that will provide important globally-relevant data about changes in marine boundary layer cloud systems, atmospheric aerosols and multiple feedbacks that warm or cool the climate. ACTIVATE studies the atmosphere over the western North Atlantic and samples 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 will primarily be 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 will also be 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 are planned 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 is 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.", - "license": "proprietary" - }, - { - "id": "ACTIVATE_Aerosol_AircraftInSitu_Falcon_Data_1", - "title": "ACTIVATE Falcon In Situ Aerosol Data", - "catalog": "LARC_ASDC STAC Catalog", - "state_date": "2020-02-14", - "end_date": "2022-06-30", - "bbox": "-85, 25, -58.5, 50", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1994460846-LARC_ASDC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1994460846-LARC_ASDC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections/ACTIVATE_Aerosol_AircraftInSitu_Falcon_Data_1", - "description": "ACTIVATE_Aerosol_AircraftInSitu_Falcon_Data is the aerosol 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\u2019s 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.", - "license": "proprietary" - }, - { - "id": "ACTIVATE_Cloud_AircraftInSitu_Falcon_Data_1", - "title": "ACTIVATE Falcon In Situ Cloud Data", - "catalog": "LARC_ASDC STAC Catalog", - "state_date": "2020-02-14", - "end_date": "2022-06-30", - "bbox": "-85, 25, -58.5, 50", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1994461088-LARC_ASDC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1994461088-LARC_ASDC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections/ACTIVATE_Cloud_AircraftInSitu_Falcon_Data_1", - "description": "ACTIVATE_Cloud_AircraftInSitu_Falcon_Data is the cloud 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\u2019s 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. ", - "license": "proprietary" - }, - { - "id": "ACTIVATE_Merge_Data_1", - "title": "ACTIVATE Falcon Aircraft Merge Data Files", - "catalog": "LARC_ASDC STAC Catalog", - "state_date": "2020-02-14", - "end_date": "2022-06-30", - "bbox": "-85, 25, -58.5, 50", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2119361908-LARC_ASDC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2119361908-LARC_ASDC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections/ACTIVATE_Merge_Data_1", - "description": "ACTIVATE_Merge_Data is the pre-generated merge data files created from data collected onboard the HU-25 Falcon aircraft 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\u2019s 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. Marine boundary layer clouds play a critical role in Earth\u2019s 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 is a five-year project (January 2019-December 2023) that will provide important globally-relevant data about changes in marine boundary layer cloud systems, atmospheric aerosols and multiple feedbacks that warm or cool the climate. ACTIVATE studies the atmosphere over the western North Atlantic and samples 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 will primarily be 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 will also be 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 are planned 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 is 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.", - "license": "proprietary" - }, - { - "id": "ACTIVATE_MetNav_AircraftInSitu_Falcon_Data_1", - "title": "ACTIVATE Falcon In-Situ Meteorological and Navigational Data", - "catalog": "LARC_ASDC STAC Catalog", - "state_date": "2020-02-10", - "end_date": "2022-06-20", - "bbox": "-85, 25, -58.5, 50", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1994460739-LARC_ASDC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1994460739-LARC_ASDC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections/ACTIVATE_MetNav_AircraftInSitu_Falcon_Data_1", - "description": "ACTIVATE_MetNav_AircraftInSitu_Falcon_Data is the meteorological and navigational 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\u2019s 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. ", - "license": "proprietary" - }, - { - "id": "ACTIVATE_MetNav_AircraftInSitu_KingAir_Data_1", - "title": "ACTIVATE King Air Meteorological and Navigational Data", - "catalog": "LARC_ASDC STAC Catalog", - "state_date": "2019-12-16", - "end_date": "2022-06-30", - "bbox": "-85, 25, -58.5, 50", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1994460996-LARC_ASDC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1994460996-LARC_ASDC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections/ACTIVATE_MetNav_AircraftInSitu_KingAir_Data_1", - "description": "ACTIVATE_MetNav_AircraftInSitu_KingAir_Data is the meteorological and navigational data collected onboard the B-200 King Air 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\u2019s 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. Marine boundary layer clouds play a critical role in Earth\u2019s 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 is a five-year project (January 2019-December 2023) that will provide important globally-relevant data about changes in marine boundary layer cloud systems, atmospheric aerosols and multiple feedbacks that warm or cool the climate. ACTIVATE studies the atmosphere over the western North Atlantic and samples 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 will primarily be 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 will also be 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 are planned 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 is 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.", - "license": "proprietary" - }, - { - "id": "ACTIVATE_TraceGas_AircraftInSitu_Falcon_Data_1", - "title": "ACTIVATE Falcon In Situ Trace Gas Data", - "catalog": "LARC_ASDC STAC Catalog", - "state_date": "2020-02-14", - "end_date": "2022-06-30", - "bbox": "-85, 25, -58.5, 50", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1994460919-LARC_ASDC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1994460919-LARC_ASDC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections/ACTIVATE_TraceGas_AircraftInSitu_Falcon_Data_1", - "description": "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\u2019s 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.", - "license": "proprietary" - }, - { - "id": "ADAM.Surface.Reflectance.Database_NA", - "title": "ADAM Surface Reflectance Database v4.0", - "catalog": "ESA STAC Catalog", - "state_date": "2005-01-01", - "end_date": "2005-12-31", - "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", - "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" - }, { "id": "AERDB_L2_VIIRS_NOAA20_NRT_2", "title": "VIIRS/NOAA-20 Deep Blue Aerosol L2 6-Min Swath 6 km (v2.0)", @@ -949,354 +286,94 @@ "license": "proprietary" }, { - "id": "AERIALDIGI_Not provided", - "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/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_Not%20provided", - "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": "AE_5DSno_2", - "title": "AMSR-E/Aqua 5-Day L3 Global Snow Water Equivalent EASE-Grids V002", - "catalog": "NSIDC_ECS STAC Catalog", - "state_date": "2002-06-20", - "end_date": "2011-10-03", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179014698-NSIDC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179014698-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/AE_5DSno_2", - "description": "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).", + "id": "AIRSAR_INT_JPG_1", + "title": "AIRSAR_ALONGTRACK_INTERFEROMETRY_JPG", + "catalog": "ASF STAC Catalog", + "state_date": "1998-10-25", + "end_date": "2004-03-05", + "bbox": "-172.880269, -27.388834, -49.704356, 69.25925", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1213921626-ASF.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1213921626-ASF.html", + "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections/AIRSAR_INT_JPG_1", + "description": "AIRSAR along-track interferometric browse product JPG", "license": "proprietary" }, { - "id": "AE_SI12_3", - "title": "AMSR-E/Aqua Daily L3 12.5 km Brightness Temperature, Sea Ice Concentration, & Snow Depth Polar Grids V003", - "catalog": "NSIDC_ECS STAC Catalog", - "state_date": "2002-06-01", - "end_date": "2011-10-04", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1452437262-NSIDC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1452437262-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/AE_SI12_3", - "description": "This Level-3 gridded product (AE_SI12) includes brightness temperatures at 18.7 through 89.0 GHz, sea ice concentration, and snow depth over sea ice.", + "id": "AIRSAR_POL_3FP_1", + "title": "AIRSAR_POLSAR_3_FREQ_POLARIMETRY", + "catalog": "ASF STAC Catalog", + "state_date": "1990-03-02", + "end_date": "2004-03-21", + "bbox": "-172.880269, -27.388834, -49.704356, 69.25925", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1213921661-ASF.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1213921661-ASF.html", + "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections/AIRSAR_POL_3FP_1", + "description": "AIRSAR three-frequency polarimetric frame product", "license": "proprietary" }, { - "id": "AE_SI25_3", - "title": "AMSR-E/Aqua Daily L3 25 km Brightness Temperature & Sea Ice Concentration Polar Grids V003", - "catalog": "NSIDC_ECS STAC Catalog", - "state_date": "2002-06-01", - "end_date": "2011-10-04", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1489170961-NSIDC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1489170961-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/AE_SI25_3", - "description": "This Level-3 gridded product (AE_SI25) includes brightness temperatures at 6.9 through 89.0 GHz and sea ice concentrations.", + "id": "AIRSAR_POL_SYN_3FP_1", + "title": "AIRSAR_POLSAR_SYNOPTIC_3_FREQ_POLARIMETRY", + "catalog": "ASF STAC Catalog", + "state_date": "1990-03-29", + "end_date": "1991-07-16", + "bbox": "-172.880269, -27.388834, -49.704356, 69.25925", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1213928843-ASF.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1213928843-ASF.html", + "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections/AIRSAR_POL_SYN_3FP_1", + "description": "AIRSAR three-frequency polarimetric synoptic product", "license": "proprietary" }, { - "id": "AE_SI6_3", - "title": "AMSR-E/Aqua Daily L3 6.25 km 89 GHz Brightness Temperature Polar Grids V003", - "catalog": "NSIDC_ECS STAC Catalog", - "state_date": "2002-06-01", - "end_date": "2011-10-04", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1489168475-NSIDC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1489168475-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/AE_SI6_3", - "description": "This Level-3 gridded product (AE_SI6) includes brightness temperatures at 89.0 GHz. Data are mapped to a polar stereographic grid at 6.25 km spatial resolution. This product is an intermediate product during processing of AMSR-E Level-3 sea ice products at 12.5 km and 25 km resolution.", + "id": "AIRSAR_TOP_C-DEM_STOKES_1", + "title": "AIRSAR_TOPSAR_C-BAND_DEM_AND_STOKES", + "catalog": "ASF STAC Catalog", + "state_date": "1993-06-08", + "end_date": "2004-12-04", + "bbox": "-172.880269, -27.388834, -49.704356, 69.25925", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1213927035-ASF.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1213927035-ASF.html", + "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections/AIRSAR_TOP_C-DEM_STOKES_1", + "description": "AIRSAR topographic SAR digital elevation model C_Stokes product", "license": "proprietary" }, { - "id": "AE_SID_1", - "title": "AMSR-E/Aqua Daily L3 6.25 km Sea Ice Drift Polar Grids V001", - "catalog": "NSIDC_ECS STAC Catalog", - "state_date": "2011-05-30", - "end_date": "2011-10-03", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C186290274-NSIDC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C186290274-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/AE_SID_1", - "description": "This product provides 6.25 km sea ice drift grids for the Northern and Southern Hemispheres.", + "id": "AIRSAR_TOP_DEM_1", + "title": "AIRSAR_TOPSAR_DEM", + "catalog": "ASF STAC Catalog", + "state_date": "1993-06-08", + "end_date": "2004-12-04", + "bbox": "-172.880269, -27.388834, -49.704356, 69.25925", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179001730-ASF.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179001730-ASF.html", + "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections/AIRSAR_TOP_DEM_1", + "description": "AIRSAR topographic SAR digital elevation model product", "license": "proprietary" }, { - "id": "AFLVIS1B_1", - "title": "AfriSAR LVIS L1B Geolocated Return Energy Waveforms V001", - "catalog": "NSIDC_ECS STAC Catalog", - "state_date": "2016-02-20", - "end_date": "2016-03-08", - "bbox": "8, -2, 12, 1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1549378019-NSIDC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1549378019-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/AFLVIS1B_1", - "description": "This data set contains return energy waveform data over Gabon, Africa. The measurements were taken by the NASA Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of a NASA campaign, in collaboration with the European Space Agency (ESA) mission AfriSAR.", + "id": "AIRSAR_TOP_DEM_C_1", + "title": "AIRSAR_TOPSAR_DEM_C", + "catalog": "ASF STAC Catalog", + "state_date": "1993-06-08", + "end_date": "2004-12-04", + "bbox": "-172.880269, -27.388834, -49.704356, 69.25925", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1213925022-ASF.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1213925022-ASF.html", + "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections/AIRSAR_TOP_DEM_C_1", + "description": "AIRSAR topographic SAR digital elevation model CTIF product", "license": "proprietary" }, { - "id": "AFLVIS2_1", - "title": "AfriSAR LVIS L2 Geolocated Surface Elevation Product V001", - "catalog": "NSIDC_ECS STAC Catalog", - "state_date": "2016-02-20", - "end_date": "2016-03-08", - "bbox": "8, -2, 12, 1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1549378743-NSIDC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1549378743-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/AFLVIS2_1", - "description": "This data set contains surface elevation data over Gabon, Africa. The measurements were taken by the NASA Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of a NASA campaign, in collaboration with the European Space Agency (ESA) mission AfriSAR.", - "license": "proprietary" - }, - { - "id": "AFOLVIS1A_1", - "title": "AfriSAR LVIS L1A Geotagged Images V001", - "catalog": "NSIDC_ECS STAC Catalog", - "state_date": "2016-02-20", - "end_date": "2016-03-08", - "bbox": "8, -2, 12, 1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1932134853-NSIDC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1932134853-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/AFOLVIS1A_1", - "description": "This data set contains geotagged images collected over Gabon, Africa. The images were taken by the NASA Digital Mapping Camera paired with the Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of a NASA campaign, in collaboration with the European Space Agency (ESA) mission AfriSAR.", - "license": "proprietary" - }, - { - "id": "AG100_003", - "title": "ASTER Global Emissivity Dataset, 100 meter, HDF5 V003", - "catalog": "LPDAAC_ECS STAC Catalog", - "state_date": "2000-01-01", - "end_date": "2008-12-31", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000362-LPDAAC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000362-LPDAAC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections/AG100_003", - "description": "Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Emissivity Dataset (GED) land surface temperature and emissivity (LST&E) data products are generated using the ASTER Temperature Emissivity Separation (TES) algorithm with a Water Vapor Scaling (WVS) atmospheric correction method using Moderate Resolution Imaging Spectroradiometer (MODIS) (MOD07) (https://modis-atmos.gsfc.nasa.gov/MOD07_L2/index.html) atmospheric profiles and the MODerate spectral resolution TRANsmittance (MODTRAN 5.2 radiative transfer model). This dataset is computed from all clear-sky pixels of ASTER scenes acquired from 2000 through 2008. AG100 data are available globally at spatial resolution of 100 meters. The National Aeronautics and Space Administration\u2019s (NASA) Jet Propulsion Laboratory (JPL), California Institute of Technology, developed the ASTER GED product. ", - "license": "proprietary" - }, - { - "id": "AG1km_003", - "title": "ASTER Global Emissivity Dataset, 1 kilometer, HDF5 V003", - "catalog": "LPDAAC_ECS STAC Catalog", - "state_date": "2000-01-01", - "end_date": "2008-12-31", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000380-LPDAAC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000380-LPDAAC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections/AG1km_003", - "description": "Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Emissivity Dataset (GED) land surface temperature and emissivity (LST&E) data products are generated using the ASTER Temperature Emissivity Separation (TES) algorithm with a Water Vapor Scaling (WVS) atmospheric correction method using Moderate Resolution Imaging Spectroradiometer (MODIS) (MOD07) (https://modis-atmos.gsfc.nasa.gov/MOD07_L2/index.html) atmospheric profiles and the MODerate Spectral resolution TRANsmittance (MODTRAN) 5.2 radiative transfer model. This dataset is computed from all clear-sky pixels of ASTER scenes acquired from 2000 through 2008. AG1KM data are available globally at spatial resolution of 1 kilometer. The National Aeronautics and Space Administration\u2019s (NASA) Jet Propulsion Laboratory (JPL), California Institute of Technology, developed the ASTER GED product.", - "license": "proprietary" - }, - { - "id": "AG5KMMOH_041", - "title": "ASTER Global Emissivity Dataset, Monthly, 0.05 deg, HDF5 V041", - "catalog": "LPDAAC_ECS STAC Catalog", - "state_date": "2000-03-01", - "end_date": "2015-12-31", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1344831606-LPDAAC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1344831606-LPDAAC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections/AG5KMMOH_041", - "description": "Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Emissivity Dataset (GED) is a collection of monthly files (see known issues for gaps) for each year of global emissivity. The ASTER GED data products are generated for 2000 through 2015 using the ASTER Temperature Emissivity Separation (TES) algorithm atmospheric correction method. This algorithm method uses Moderate Resolution Imaging Spectroradiometer (MODIS) Atmospheric Profiles product (MOD07) (https://modis-atmos.gsfc.nasa.gov/MOD07_L2/index.html) and the MODerate spectral resolution TRANsmittance (MODTRAN) 5.2 radiative transfer model along with the snow cover data from the standard monthly MODIS/Terra snow cover monthly global 0.05 degree product (MOD10CM) (https://doi.org/10.5067/MODIS/MOD10CM.006), and vegetation information from the MODIS monthly gridded NDVI product (MOD13C2) (https://doi.org/10.5067/MODIS/MOD13C2.006). ASTER GED Monthly V041 data products are offered in Hierarchical Data Format 5 (HDF5). The National Aeronautics and Space Administration\u2019s (NASA) Jet Propulsion Laboratory (JPL), California Institute of Technology, developed the ASTER GED product.", - "license": "proprietary" - }, - { - "id": "AIRABRAD_005", - "title": "AIRS/Aqua L1B AMSU (A1/A2) geolocated and calibrated brightness temperatures V005 (AIRABRAD) at GES DISC", - "catalog": "GES_DISC STAC Catalog", - "state_date": "2002-05-21", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1243477366-GES_DISC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1243477366-GES_DISC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections/AIRABRAD_005", - "description": "The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. The AMSU-A instrument is co-aligned with AIRS so that successive blocks of 3 x 3 AIRS footprints are contained within one AMSU-A footprint. AMSU-A is primarily a temperature sounder that provides atmospheric information in the presence of clouds, which can be used to correct the AIRS infrared measurements for the effects of clouds. This is possible because non-precipitating clouds are for the most part transparent to microwave radiation, in contrast to visible and infrared radiation which are strongly scattered and absorbed by clouds. AMSU-A1 has 13 channels from 50 - 90 GHz and AMSU-A2 has 2 channels from 23 - 32 GHz. The AIRABRAD_005 products are stored in files (often referred to as \"granules\") that contain 6 minutes of data, 30 footprints across track by 45 lines along track.", - "license": "proprietary" - }, - { - "id": "AIRABRAD_NRT_005", - "title": "AIRS/Aqua L1B Near Real Time (NRT) AMSU (A1/A2) geolocated and calibrated brightness temperatures V005 (AIRABRAD_NRT) at GES DISC", - "catalog": "GES_DISC STAC Catalog", - "state_date": "2015-12-15", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1233769000-GES_DISC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1233769000-GES_DISC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections/AIRABRAD_NRT_005", - "description": "The AMSU-A Level 1B Near Real Time (NRT) product (AIRABRAD_NRT_005) differs from the routine product (AIRABRAD_005) in 2 ways to meet the three hour latency requirements of the Land Atmosphere NRT Capability Earth Observing System (LANCE): (1) The NRT granules are produced without previous or subsequent granules if those granules are not available within 5 minutes, (2) the predictive ephemeris/attitude data are used rather than the definitive ephemeris/attitude. The consequences of these differences are described in the AIRS Near Real Time (NRT) data products document. The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. The AMSU-A instrument is co-aligned with AIRS so that successive blocks of 3 x 3 AIRS footprints are contained within one AMSU-A footprint. AMSU-A is primarily a temperature sounder that provides atmospheric information in the presence of clouds, which can be used to correct the AIRS infrared measurements for the effects of clouds. This is possible because non-precipitating clouds are for the most part transparent to microwave radiation, in contrast to visible and infrared radiation which are strongly scattered and absorbed by clouds. AMSU-A1 has 13 channels from 50 - 90 GHz and AMSU-A2 has 2 channels from 23 - 32 GHz. The AIRABRAD_NRT_005 products are stored in files (often referred to as \"granules\") that contain 6 minutes of data, 30 footprints across track by 45 lines along track.", - "license": "proprietary" - }, - { - "id": "AIRHBRAD_005", - "title": "AIRS/Aqua L1B HSB geolocated and calibrated brightness temperatures V005 (AIRHBRAD) at GES DISC", - "catalog": "GES_DISC STAC Catalog", - "state_date": "2002-05-24", - "end_date": "2003-11-20", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1243477367-GES_DISC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1243477367-GES_DISC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections/AIRHBRAD_005", - "description": "The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. The HSB level 1B data set contains HSB calibrated and geolocated brightness temperatures in degrees Kelvin. This data set is generated from HSB Level 1A digital numbers (DN), including 4 microwave channels in the 150 - 190 GHz region of the spectrum. A day's worth of data is divided into 240 scenes each of 6 minute duration. For the HSB measurements, an individual scene consists of 135 scanlines containing 90 cross-track footprints; thus there is a total of 135 x 90 = 12,150 footprints per HSB scene, which coincide very closely with the AIRS infrared footprints. HSB is primarily a humidity sounder that provides information on snow/ice cover and precipitation using the 150 GHz window channel, and the coarse distribution of moisture in the troposphere using the 183 GHz channels. Combined with simultaneous measurements from the AIRS and AMSU-A instruments, the calibrated HSB brightness temperatures will be used to initialize the atmospheric moisture profile required for the retrieval of the final AIRS geophysical products. An HSB level 1B daily summary browse product is also available to provide users with a global quick look capability when searching for data of interest. Summary Browse Products are high-level pictorial representations of AIRS Instrument (AIRS Infrared, AMSU-A and HSB) data designed as an aid to ordering data from the GSFC DISC or EDG. the HSB instrument failed in November of 2003.", - "license": "proprietary" - }, - { - "id": "AIRIBQAP_005", - "title": "AIRS/Aqua L1B Infrared (IR) quality assurance subset V005 (AIRIBQAP) at GES DISC", - "catalog": "GES_DISC STAC Catalog", - "state_date": "2002-08-30", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1243477368-GES_DISC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1243477368-GES_DISC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections/AIRIBQAP_005", - "description": "The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. The AIRS IR Level 1B QA Subset contains Quality Assurance (QA) parameters that a user of may use to filter AIRS IR Level 1B radiance data to create a subset of analysis. QA parameters indicate quality of granule-per-channel, scan-per-channel, field of view, and channel and should be accessed before any data of analysis. It also contains \"glintlat\", \"glintlon\", and \"sun_glint_distant\" that users can use to check for possibility of solar glint contamination.", - "license": "proprietary" - }, - { - "id": "AIRIBQAP_NRT_005", - "title": "AIRS/Aqua L1B Near Real Time (NRT) Infrared (IR) quality assurance subset V005 (AIRIBQAP_NRT) at GES DISC", - "catalog": "GES_DISC STAC Catalog", - "state_date": "2015-12-15", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1233768981-GES_DISC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1233768981-GES_DISC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections/AIRIBQAP_NRT_005", - "description": "The AIRS Level 1B Near Real Time (NRT) product (AIRIBQAP_NRT_005) differs from the routine product (AIRIBQAP_005) in 2 ways to meet the three hour latency requirements of the Land Atmosphere NRT Capability Earth Observing System (LANCE): (1) The NRT granules are produced without previous or subsequent granules if those granules are not available within 5 minutes, (2) the predictive ephemeris/attitude data are used rather than the definitive ephemeris/attitude. The consequences of these differences are described in the AIRS Near Real Time (NRT) data products document. The Atmospheric Infrared Sounder (AIRS) is a facility instrument aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. AIRS data will be generated continuously. Global coverage will be obtained twice daily (day and night) on a 1:30pm sun synchronous orbit from a 705-km altitude. The AIRS IR Level 1B QA Subset contains Quality Assurance (QA) parameters that a user of may use to filter AIRS IR Level 1B radiance data to create a subset of analysis. QA parameters indicate quality of granule-per-channel, scan-per-channel, field of view, and channel and should be accessed before any data of analysis. It also contains \"glintlat\", \"glintlon\", and \"sun_glint_distant\" that users can use to check for possibility of solar glint contamination.", - "license": "proprietary" - }, - { - "id": "AIRIBRAD_005", - "title": "AIRS/Aqua L1B Infrared (IR) geolocated and calibrated radiances V005 (AIRIBRAD) at GES DISC at GES DISC", - "catalog": "GES_DISC STAC Catalog", - "state_date": "2002-08-30", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1243477369-GES_DISC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1243477369-GES_DISC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections/AIRIBRAD_005", - "description": " WARNING: On 2021/09/23 the EOS Aqua executed a Deep Space Maneuver (DSM). In the DSM, the spacecraft is turned such that the normal Earth field of regard is deep space. The thermal impact of the DSM caused a shift of the centroids of spectral response functions (SRF) of about 1% of the width of the SRF, equivalent to a frequency shift of 9 parts per million. This shift is reflected in the \u201cspectral_freq\u201d parameter (observed frequencies) in the L1b v5 files for each 6 minute granule. The magnitude of the effect on brightness temperatures (BT) depends on the spectral gradient of each channel. Maximum BT shifts are approximately +- 0.5 K, although many channels experience far smaller BT shifts. Approximately 1803 channels have BT shifts of less than 0.1 K and 575 channels are now shifted in BT by more than 0.1 K, while 231 of these channels have BT shifts greater than 0.2 K. Users of the L1b v5 product who are concerned that these shifts may impact their science investigations and applications are encouraged to switch to the AIRS L1c v6.7.4 product, which, among many other improvements, converts the spectra to a fixed frequency grid. END OF WARNING. The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. The AIRS Infrared (IR) level 1B data set contains AIRS calibrated and geolocated radiances in milliWatts/m^2/cm^-1/steradian for 2378 infrared channels in the 3.74 to 15.4 micron region of t he spectrum. The AIRS instrument is co-aligned with AMSU-A so that successive blocks of 3 x 3 AIRS footprints are contained within one AMSU-A footprint. The AIRIBRAD_005 products are stored in files (often referred to as \"granules\") that contain 6 minutes of data, 90 footprints across track by 135 lines along track.", - "license": "proprietary" - }, - { - "id": "AIRIBRAD_NRT_005", - "title": "AIRS/Aqua L1B Near Real Time (NRT) Infrared (IR) geolocated and calibrated radiances V005 (AIRIBRAD_NRT) at GES DISC", - "catalog": "GES_DISC STAC Catalog", - "state_date": "2015-12-15", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1233768982-GES_DISC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1233768982-GES_DISC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections/AIRIBRAD_NRT_005", - "description": " WARNING: On 2021/09/23 the EOS Aqua executed a Deep Space Maneuver (DSM). In the DSM, the spacecraft is turned such that the normal Earth field of regard is deep space. The thermal impact of the DSM caused a shift of the centroids of spectral response functions (SRF) of about 1% of the width of the SRF, equivalent to a frequency shift of 9 parts per million. This shift is reflected in the \u201cspectral_freq\u201d parameter (observed frequencies) in the L1b v5 files for each 6 minute granule. The magnitude of the effect on brightness temperatures (BT) depends on the spectral gradient of each channel. Maximum BT shifts are approximately +- 0.5 K, although many channels experience far smaller BT shifts. Approximately 1803 channels have BT shifts of less than 0.1 K and 575 channels are now shifted in BT by more than 0.1 K, while 231 of these channels have BT shifts greater than 0.2 K. Users of the L1b v5 product who are concerned that these shifts may impact their science investigations and applications are encouraged to switch to the AIRS L1c v6.7.4 product, which, among many other improvements, converts the spectra to a fixed frequency grid. END OF WARNING. The AIRS Level 1B Near Real Time (NRT) product (AIRIBRAD_NRT_005) differs from the routine product (AIRIBRAD_005) in 2 ways to meet the three hour latency requirements of the Land Atmosphere NRT Capability Earth Observing System (LANCE): (1) The NRT granules are produced without previous or subsequent granules if those granules are not available within 5 minutes, (2) the predictive ephemeris/attitude data are used rather than the definitive ephemeris/attitude. The consequences of these differences are described in the AIRS Near Real Time (NRT) data products document. The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. The AIRS Infrared (IR) level 1B data set contains AIRS calibrated and geolocated radiances in milliWatts/m^2/cm^-1/steradian for 2378 infrared channels in the 3.74 to 15.4 micron region of t he spectrum. The AIRS instrument is co-aligned with AMSU-A so that successive blocks of 3 x 3 AIRS footprints are contained within one AMSU-A footprint. The AIRIBRAD_NRT_005 products are stored in files (often referred to as \"granules\") that contain 6 minutes of data, 90 footprints across track by 135 lines along track.", - "license": "proprietary" - }, - { - "id": "AIRIBRAD_NRT_BUFR_005", - "title": "AIRS/Aqua L1B Near Real Time (NRT) Infrared (IR) geolocated and calibrated radiances in BUFR format V005 (AIRIBRAD_NRT_BUFR) at GES DISC", - "catalog": "GES_DISC STAC Catalog", - "state_date": "2015-12-15", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1233769001-GES_DISC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1233769001-GES_DISC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections/AIRIBRAD_NRT_BUFR_005", - "description": "WARNING: On 2021/09/23 the EOS Aqua executed a Deep Space Maneuver (DSM). In the DSM, the spacecraft is turned such that the normal Earth field of regard is deep space. The thermal impact of the DSM caused a shift of the centroids of spectral response functions (SRF) of about 1% of the width of the SRF, equivalent to a frequency shift of 9 parts per million. This shift is reflected in the \u201cspectral_freq\u201d parameter (observed frequencies) in the L1b v5 files for each 6 minute granule. The magnitude of the effect on brightness temperatures (BT) depends on the spectral gradient of each channel. Maximum BT shifts are approximately +- 0.5 K, although many channels experience far smaller BT shifts. Approximately 1803 channels have BT shifts of less than 0.1 K and 575 channels are now shifted in BT by more than 0.1 K, while 231 of these channels have BT shifts greater than 0.2 K. Users of the L1b v5 product who are concerned that these shifts may impact their science investigations and applications are encouraged to switch to the AIRS L1c v6.7.4 product, which, among many other improvements, converts the spectra to a fixed frequency grid. END OF WARNING. This product is a 324-channel subset of the AIRIBRAD_NRT_005 product in which the AMSU footprints from AIRABRAD_NRT_005 product are also included and converted to binary Universal Form for the Representation of meteorological data (BUFR). The AIRS and AMSU Level 1B products differ from routine processing in 2 ways to meet the three hour latency requirements of the Land Atmosphere NRT Capability Earth Observing System (LANCE): (1) The NRT granules are produced without previous or subsequent granules if those granules are not available within 5 minutes, (2) the predictive ephemeris/attitude data are used rather than the definitive ephemeris/attitude. The consequences of these differences are described in the AIRS Near Real Time (NRT) data products document. The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors.", - "license": "proprietary" - }, - { - "id": "AIRSAR_INT_JPG_1", - "title": "AIRSAR_ALONGTRACK_INTERFEROMETRY_JPG", - "catalog": "ASF STAC Catalog", - "state_date": "1998-10-25", - "end_date": "2004-03-05", - "bbox": "-172.880269, -27.388834, -49.704356, 69.25925", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1213921626-ASF.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1213921626-ASF.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections/AIRSAR_INT_JPG_1", - "description": "AIRSAR along-track interferometric browse product JPG", - "license": "proprietary" - }, - { - "id": "AIRSAR_POL_3FP_1", - "title": "AIRSAR_POLSAR_3_FREQ_POLARIMETRY", - "catalog": "ASF STAC Catalog", - "state_date": "1990-03-02", - "end_date": "2004-03-21", - "bbox": "-172.880269, -27.388834, -49.704356, 69.25925", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1213921661-ASF.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1213921661-ASF.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections/AIRSAR_POL_3FP_1", - "description": "AIRSAR three-frequency polarimetric frame product", - "license": "proprietary" - }, - { - "id": "AIRSAR_POL_SYN_3FP_1", - "title": "AIRSAR_POLSAR_SYNOPTIC_3_FREQ_POLARIMETRY", - "catalog": "ASF STAC Catalog", - "state_date": "1990-03-29", - "end_date": "1991-07-16", - "bbox": "-172.880269, -27.388834, -49.704356, 69.25925", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1213928843-ASF.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1213928843-ASF.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections/AIRSAR_POL_SYN_3FP_1", - "description": "AIRSAR three-frequency polarimetric synoptic product", - "license": "proprietary" - }, - { - "id": "AIRSAR_TOP_C-DEM_STOKES_1", - "title": "AIRSAR_TOPSAR_C-BAND_DEM_AND_STOKES", - "catalog": "ASF STAC Catalog", - "state_date": "1993-06-08", - "end_date": "2004-12-04", - "bbox": "-172.880269, -27.388834, -49.704356, 69.25925", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1213927035-ASF.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1213927035-ASF.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections/AIRSAR_TOP_C-DEM_STOKES_1", - "description": "AIRSAR topographic SAR digital elevation model C_Stokes product", - "license": "proprietary" - }, - { - "id": "AIRSAR_TOP_DEM_1", - "title": "AIRSAR_TOPSAR_DEM", - "catalog": "ASF STAC Catalog", - "state_date": "1993-06-08", - "end_date": "2004-12-04", - "bbox": "-172.880269, -27.388834, -49.704356, 69.25925", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179001730-ASF.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179001730-ASF.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections/AIRSAR_TOP_DEM_1", - "description": "AIRSAR topographic SAR digital elevation model product", - "license": "proprietary" - }, - { - "id": "AIRSAR_TOP_DEM_C_1", - "title": "AIRSAR_TOPSAR_DEM_C", - "catalog": "ASF STAC Catalog", - "state_date": "1993-06-08", - "end_date": "2004-12-04", - "bbox": "-172.880269, -27.388834, -49.704356, 69.25925", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1213925022-ASF.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1213925022-ASF.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections/AIRSAR_TOP_DEM_C_1", - "description": "AIRSAR topographic SAR digital elevation model CTIF product", - "license": "proprietary" - }, - { - "id": "AIRSAR_TOP_DEM_L_1", - "title": "AIRSAR_TOPSAR_DEM_L", - "catalog": "ASF STAC Catalog", - "state_date": "1993-06-08", - "end_date": "2004-12-04", - "bbox": "-172.880269, -27.388834, -49.704356, 69.25925", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1213926419-ASF.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1213926419-ASF.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections/AIRSAR_TOP_DEM_L_1", - "description": "AIRSAR topographic SAR digital elevation model LTIF product", + "id": "AIRSAR_TOP_DEM_L_1", + "title": "AIRSAR_TOPSAR_DEM_L", + "catalog": "ASF STAC Catalog", + "state_date": "1993-06-08", + "end_date": "2004-12-04", + "bbox": "-172.880269, -27.388834, -49.704356, 69.25925", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1213926419-ASF.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1213926419-ASF.html", + "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections/AIRSAR_TOP_DEM_L_1", + "description": "AIRSAR topographic SAR digital elevation model LTIF product", "license": "proprietary" }, { @@ -1338,162 +415,6 @@ "description": "AIRSAR topographic SAR digital elevation model P_Stokes product", "license": "proprietary" }, - { - "id": "AIRSM_CPR_MAT_3.2", - "title": "AIRS-AMSU variables-CloudSat cloud mask, radar reflectivities, and cloud classification matchups V3.2 (AIRSM_CPR_MAT) at GES DISC", - "catalog": "GES_DISC STAC Catalog", - "state_date": "2006-06-15", - "end_date": "2012-12-14", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1236224182-GES_DISC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1236224182-GES_DISC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections/AIRSM_CPR_MAT_3.2", - "description": "This is AIRS-CloudSat collocated subset, in NetCDF 4 format. These data contain collocated: AIRS/AMSU retrievals at AMSU footprints, CloudSat radar reflectivities, and MODIS cloud mask. These data are created within the frames of the MEaSUREs project. The basic task is to bring together retrievals of water vapor and cloud properties from multiple \"A-train\" instruments (AIRS, AMSR-E, MODIS, AMSU, MLS, CloudSat), classify each \"scene\" (instrument look) using the cloud information, and develop a merged, multi-sensor climatology of atmospheric water vapor as a function of altitude, stratified by the cloud classes. This is a large science analysis project that will require the use of SciFlo technologies to discover and organize all of the datasets, move and cache datasets as required, find space/time \"matchups\" between pairs of instruments, and process years of satellite data to produce the climate data records. The short name for this collection is AIRSM_CPR_MAT Parameters contained in the data files include the following: Variable Name|Description|Units CH4_total_column|Retrieved total column CH4| (molecules/cm2) CloudFraction|CloudSat/CALIPSO Cloud Fraction| (None) CloudLayers| Number of hydrometeor layers| (count) clrolr|Clear-sky Outgoing Longwave Radiation|(Watts/m**2) CO_total_column|Retrieved total column CO| (molecules/cm2) CPR_Cloud_mask| CPR Cloud Mask |(None) Data_quality| Data Quality |(None) H2OMMRSat|Water vapor saturation mass mixing ratio|(gm/kg) H2OMMRStd|Water Vapor Mass Mixing Ratio |(gm/kg dry air) MODIS_Cloud_Fraction| MODIS 250m Cloud Fraction| (None) MODIS_scene_var |MODIS scene variability| (None) nSurfStd|1-based index of the first valid level|(None) O3VMRStd|Ozone Volume Mixing Ratio|(vmr) olr|All-sky Outgoing Longwave Radiation|(Watts/m**2) Radar_Reflectivity| Radar Reflectivity Factor| (dBZe) Sigma-Zero| Sigma-Zero| (dB*100) TAirMWOnlyStd|Atmospheric Temperature retrieved using only MW|(K) TCldTopStd|Cloud top temperature|(K) totH2OStd|Total precipitable water vapor| (kg/m**2) totO3Std|Total ozone burden| (Dobson) TSurfAir|Atmospheric Temperature at Surface|(K) TSurfStd|Surface skin temperature|(K) End of parameter information", - "license": "proprietary" - }, - { - "id": "AIRS_CPR_IND_4.0", - "title": "AIRS-CloudSat cloud mask and radar reflectivities collocation indexes V4.0 (AIRS_CPR_IND) at GES_DISC", - "catalog": "GES_DISC STAC Catalog", - "state_date": "2006-06-15", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1236224151-GES_DISC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1236224151-GES_DISC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections/AIRS_CPR_IND_4.0", - "description": "Version 4.1 is the current version of the data set. Previous versions are no longer available and have been superseded by Version 4.1. This is AIRS-AMSU-CloudSat collocation indexes, in netCDF-4 format. These data map CloudSat profile indexes to the collocated AMSU field of views, and AIRS IR footprints, per AIRS 6-min granule time. Hence it can be considered as Level 1. These data are created within the frames of the MEaSUREs project. The basic task is to bring together retrievals of water vapor and cloud properties from multiple \"A-train\" instruments (AIRS, AMSR-E, MODIS, AMSU, MLS, & CloudSat), classify each \"scene\" (instrument look) using the cloud information, and develop a merged, multi-sensor climatology of atmospheric water vapor as a function of altitude, stratified by the cloud classes. This is a large science analysis project that will require the use of SciFlo technologies to discover and organize all of the datasets, move and cache datasets as required, find space/time \"matchups\" between pairs of instruments, and process years of satellite data to produce the climate data records. The short name for this collection is AIRS_CPR_IND", - "license": "proprietary" - }, - { - "id": "AIRS_CPR_MAT_3.2", - "title": "AIRS-CloudSat cloud mask, radar reflectivities, and cloud classification matchups V3.2 (AIRS_CPR_MAT) at GES DISC", - "catalog": "GES_DISC STAC Catalog", - "state_date": "2006-06-15", - "end_date": "2012-12-14", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1236224153-GES_DISC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1236224153-GES_DISC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections/AIRS_CPR_MAT_3.2", - "description": "This is AIRS-CloudSat collocated subset, in NetCDF-4 format. These data contain collocated: AIRS Level 1b radiances spectra, CloudSat radar reflectivities, and MODIS cloud mask. These data are created within the frames of the MEaSUREs project. The basic task is to bring together retrievals of water vapor and cloud properties from multiple \"A-train\" instruments (AIRS, AMSR-E, MODIS, AMSU, MLS, CloudSat), classify each \"scene\" (instrument look) using the cloud information, and develop a merged, multi-sensor climatology of atmospheric water vapor as a function of altitude, stratified by the cloud classes. This is a large science analysis project that will require the use of SciFlo technologies to discover and organize all of the datasets, move and cache datasets as required, find space/time \"matchups\" between pairs of instruments, and process years of satellite data to produce the climate data records. The short name for this collection is AIRS_CPR_MAT Parameters contained in the data files include the following: Variable Name|Description|Units CldFrcStdErr|Cloud Fraction|(None) CloudLayers| Number of hydrometeor layers| (count) CPR_Cloud_mask| CPR Cloud Mask| (None) DEM_elevation| Digital Elevation Map| (m) dust_flag|Dust Flag|(None) latAIRS|AIRS IR latitude|(deg) Latitude|CloudSat Latitude |(degrees) LayerBase| Height of Layer Base| (m) LayerTop| Height of layer top| (m) lonAIRS|AIRS IR longitude|(deg) Longitude|CloudSat Longitude| (degrees) MODIS_cloud_flag| MOD35_bit_2and3_cloud_flag| (None) Radar_Reflectivity| Radar Reflectivity Factor| (dBZe) radiances|Radiances|(milliWatts/m**2/cm**-1/steradian) Sigma-Zero| Sigma-Zero| (dB*100) spectral_clear_indicator|Spectral Clear Indicator|(None) Vertical_binsize|CloudSat vertical binsize| (m) End of parameter information", - "license": "proprietary" - }, - { - "id": "AIRVBQAP_NRT_005", - "title": "AIRS/Aqua L1B Near Real Time (NRT) Visible/Near Infrared (VIS/NIR) quality assurance subset V005 (AIRVBQAP_NRT) at GES DISC", - "catalog": "GES_DISC STAC Catalog", - "state_date": "2015-12-15", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1233768983-GES_DISC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1233768983-GES_DISC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections/AIRVBQAP_NRT_005", - "description": "The AIRS Level 1B Near Real Time (NRT) product (AIRVBQAP_NRT_005) differs from the routine product (AIRVBQAP_005) in 2 ways to meet the three hour latency requirements of the Land Atmosphere NRT Capability Earth Observing System (LANCE): (1) The NRT granules are produced without previous or subsequent granules if those granules are not available within 5 minutes, (2) the predictive ephemeris/attitude data are used rather than the definitive ephemeris/attitude. The consequences of these differences are described in the AIRS Near Real Time (NRT) data products document. The Atmospheric Infrared Sounder (AIRS) Visible/Near Infrared (VIS/NIR) instrument in combination with the AIRS Infrared Spectrometer, the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB) constitute an innovative atmospheric sounding group aboard the Earth Observing System (EOS) Aqua platform in a near-polar Sun-synchronous orbit with a 1:30 AM/PM equator crossing time and an ~705 km altitude. The AIRS Visible/Near Infrared (VIS/NIR) Level 1B QA Subset contains Quality Assurance (QA) parameters that a may use of filter AIRS VIS/NIR Level 1B radiance data to create a subset of analysis. It includes \"state\" that user should check before using any VIS/NIR Level 1B data radiance and \"glintlat\", \"glintlon\", and \"sun_glint_distant\" that users can use to check for possibility of solar glint contamination. AIRS VIS/NIR Level 1B radiance data can be found in AIRVBRAD.", - "license": "proprietary" - }, - { - "id": "AIRVBRAD_005", - "title": "AIRS/Aqua L1B Visible/Near Infrared (VIS/NIR) geolocated and calibrated radiances V005 (AIRVBRAD) at GES DISC", - "catalog": "GES_DISC STAC Catalog", - "state_date": "2002-08-30", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1243477373-GES_DISC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1243477373-GES_DISC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections/AIRVBRAD_005", - "description": "The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. The VIS/NIR level 1B data set contains visible and near-infrared calibrated and geolocated radiances in W/m^2/micron/steradian. This data set includes 4 channels in the 0.4 to 1.0 um region of the spectrum. Each day of AIRS data are divided into 240 granules each of 6 minute duration. However, the VIS/NIR granules are only produced in the daytime so there will always be fewer VIS/NIR granules. The primary purpose of the VIS/NIR channels is the detection and flagging of significant inhomogeneities in the infrared field-of-view,which may adversely impact the quality of the temperature and moisture soundings. Therefore the VIS/NIR radiance product has a higher spatial resolution than the Infrared radiance product. Each VIS/NIR scan has 9 alongtrack footprints and 720 across track footprints. For ease in comparing with the infrared product which has 135 along track footprints and 90 across track footprints, the VIS/NIR product has additional dimensions to account for the 9 additional alongtrack and 8 additional across track footprints.", - "license": "proprietary" - }, - { - "id": "AIRVBRAD_NRT_005", - "title": "AIRS/Aqua L1B Near Real Time (NRT) Visible/Near Infrared (VIS/NIR) geolocated and calibrated radiances V005 (AIRVBRAD_NRT) at GES DISC", - "catalog": "GES_DISC STAC Catalog", - "state_date": "2018-11-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1233768984-GES_DISC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1233768984-GES_DISC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections/AIRVBRAD_NRT_005", - "description": "The AIRS Visible/Near Infrared (VIS/NIR) Level 1B Near Real Time (NRT) product (AIRVBRAD_NRT_005) differs from the routine product (AIRVBRAD_005) in 2 ways to meet the three hour latency requirements of the Land Atmosphere NRT Capability Earth Observing System (LANCE): (1) The NRT granules are produced without previous or subsequent granules if those granules are not available within 5 minutes, (2) the predictive ephemeris/attitude data are used rather than the definitive ephemeris/attitude. The consequences of these differences are described in the AIRS Near Real Time (NRT) data products document. The AIRS VIS/NIR level 1B data set contains visible and near-infrared calibrated and geolocated radiances in W/m^2/micron/steradian for 4 channels in the 0.4 to 1.0 um region of the spectrum. The spectral range of the VIS/NIR channels are as follows: Channel 1 0.41 um - 0.44 um, Channel 2 0.58 um - 0.68 um, Channel 3 0.71 um - 0.92 um, Channel 4 0.49 um - 0.94 um. The AIRVBRAD_NRT_005 products are stored in files (often referred to as \"granules\") that contain 6 minutes of data, 90 footprints across track by 135 lines along track. The VIS/NIR granules are only produced in the daytime so there will always be fewer VIS/NIR granules than Infrared or microwave granules.", - "license": "proprietary" - }, - { - "id": "AIRXAMAP_005", - "title": "AIRS/Aqua Granule map product V005 (AIRXAMAP) at GES DISC", - "catalog": "GES_DISC STAC Catalog", - "state_date": "2002-05-21", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1233769004-GES_DISC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1233769004-GES_DISC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections/AIRXAMAP_005", - "description": "The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. An AIRS granule has been set as 6 minutes of data, 30 footprints cross track by 45 lines along track. The AIRS Granule Map Product consists of images of granule coverage in PDF and JPG format. The images are daily ones but updated every 6 minutes to capture any new available granule. Granules are assembled by ascending, descending, in north and south hemisphere, and the maps are in global cylindrical projection and satellite projection for better view.", - "license": "proprietary" - }, - { - "id": "AIRXBCAL_005", - "title": "AIRS/Aqua L1B Calibration subset V005 (AIRXBCAL) at GES DISC", - "catalog": "GES_DISC STAC Catalog", - "state_date": "2002-08-31", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1243477315-GES_DISC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1243477315-GES_DISC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections/AIRXBCAL_005", - "description": "The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. AIRS/Aqua Level-1B calibration subset including clear cases, special calibration sites, random nadir spots, and high clouds. The AIRS Visible/Near Infrared (VIS/NIR) level 1B data set contains AIRS visible and near-infrared calibrated and geolocated radiances in W/m^2/micron/steradian. This data set is generated from AIRS level 1A digital numbers (DN), including 4 channels in the 0.4 to 1.0 um region of the spectrum.", - "license": "proprietary" - }, - { - "id": "AK_AVHRR_Not provided", - "title": "Alaska AVHRR Twice-Monthly Composites", - "catalog": "USGS_LTA STAC Catalog", - "state_date": "1990-06-16", - "end_date": "", - "bbox": "-179, 51, -116, 70", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1220565954-USGS_LTA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1220565954-USGS_LTA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/USGS_LTA/collections/AK_AVHRR_Not%20provided", - "description": "The goal of the Alaska Advanced Very High Resolution Radiometer (AVHRR) project is to compile a time series data set of calibrated, georegistered daily observations and twice-monthly maximum normalized difference vegetation index (NDVI) composites for Alaska's annual growing season (April-October). This data set has applications for environmental monitoring and for assessing impacts of global climate change. An Alaska AVHRR data set is comprised of twice-monthly maximum NDVI composites of daily satellite observations. The NDVI composites contain 10 bands of information, including AVHRR channels 1-5, maximum NDVI, satellite zenith, solar zenith, and relative azimuth. The daily observations, bands 1-9, have been calibrated to reflectance, scaled to byte data, and geometrically registered to the Albers Equal-Area Conic map projection. The 10th band is a pointer to identify the date and scene ID of the source daily observation (scene) for each pixel. The compositing process required each daily overpass to be registered to a common map projection to ensure that from day to day each 1-km pixel represented the exact same ground location. The Albers Equal-Area Conic map projection provides for equal area representation, which enables easy measurement of area throughout the data. Each daily observation for the growing season was registered to a base image using image-to-image correlation. The NDVI data are calculated from the calibrated, geometrically registered daily observations. The NDVI value is the difference between near-infrared (AVHRR Channel 2) and visible (AVHRR Channel 1) reflectance values divided by total measured reflectance. A maximum NDVI compositing process was used on the daily observations. The NDVI is examined pixel by pixel for each observation during the compositing period to determine and retain the maximum value. Often when displaying data covering large areas, such as AVHRR data, it is beneficial to include an overlay of either familiar linework for reflectance or polygon data sets to derive statistical summaries of regions. All of the linework images represent lines in raster format as 1-km cells and the strata are represented as polygons registered to the AVHRR data. The linework and polygon data sets include international boundaries, Alaskan roads with the Trans-Alaska Pipeline, and a raster polygon mask of the State. ", - "license": "proprietary" - }, - { - "id": "ALOS.AVNIR-2.L1C_NA", - "title": "ALOS AVNIR-2 L1C", - "catalog": "ESA STAC Catalog", - "state_date": "2006-04-28", - "end_date": "2011-04-20", - "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.", - "license": "proprietary" - }, - { - "id": "ALOS.PALSAR.FBS.FBD.PLR.products_NA", - "title": "ALOS PALSAR products", - "catalog": "ESA STAC Catalog", - "state_date": "2006-05-02", - "end_date": "2011-04-14", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336814-ESA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1965336814-ESA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/ALOS.PALSAR.FBS.FBD.PLR.products_NA", - "description": "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:\u2022 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 \u2022 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 \u2022 Polarimetry mode (PLR), with four polarisations simultaneously: swath 30km, resolution 30m, temporal coverage from 26/08/2006 to 14/04/2011 \u2022 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: \u2022 RAW( level 1.0): Raw data generated by every downlink segment and every band. Divided into an equivalent size to one scene. \u2022 GDH (level 1.5):Ground range Detected, Normal resolution product \u2022 GEC (level 1.5): Geocoded product", - "license": "proprietary" - }, - { - "id": "ALOSIPY_NA", - "title": "ALOS PALSAR International Polar Year Antarctica", - "catalog": "ESA STAC Catalog", - "state_date": "2008-07-25", - "end_date": "2010-03-31", - "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.", - "license": "proprietary" - }, { "id": "ALOS_AVNIR_OBS_ORI_2", "title": "ALOS_AVNIR_OBS_ORI", @@ -1507,32 +428,6 @@ "description": "ALOS AVNIR-2 OBS ORI", "license": "proprietary" }, - { - "id": "ALOS_NA", - "title": "Alos African Coverage ESA archive", - "catalog": "ESA STAC Catalog", - "state_date": "2006-07-09", - "end_date": "2009-05-12", - "bbox": "-26, -37, 53, 37", - "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.", - "license": "proprietary" - }, - { - "id": "ALOS_PRISM_L1B_NA", - "title": "Alos PRISM L1B", - "catalog": "ESA STAC Catalog", - "state_date": "2006-07-09", - "end_date": "2011-03-31", - "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.", - "license": "proprietary" - }, { "id": "ALOS_PSR_KMZ_1", "title": "ALOS_PALSAR_KMZ", @@ -1625,4540 +520,484 @@ "license": "proprietary" }, { - "id": "AM1EPHNE_6.1NRT", - "title": "Files containing only extrapolated orbital metadata, to be read via SDP Toolkit, Binary Format", - "catalog": "LANCEMODIS STAC Catalog", - "state_date": "2016-01-24", + "id": "Active_Fluorescence_2001_0", + "title": "Active fluorescence measurements in the Gulf Stream in 2001", + "catalog": "OB_DAAC STAC Catalog", + "state_date": "2001-06-01", "end_date": "", "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1426293893-LANCEMODIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1426293893-LANCEMODIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LANCEMODIS/collections/AM1EPHNE_6.1NRT", - "description": "AM1EPHNE is the Terra Near Real Time (NRT) 2-hour spacecraft Extrapolated ephemeris data file in native format. The file name format is the following: AM1EPHNE.Ayyyyddd.hhmm.vvv.yyyydddhhmmss where from left to right: E = Extrapolated; N = Native format; A = AM1 (Terra); yyyy = data year, ddd = Julian data day, hh = data hour, mm = data minute; vvv = Version ID; yyyy = production year, ddd = Julian production day, hh = production hour, mm = production minute, and ss = production second. Data set information: http://modis.gsfc.nasa.gov/sci_team/", - "license": "proprietary" - }, - { - "id": "AMAZE-08_1308_1", - "title": "AMAZE-08 Aerosol Characterization and Meteorological Data, Central Amazon Basin: 2008", - "catalog": "ORNL_DAAC STAC Catalog", - "state_date": "2008-02-05", - "end_date": "2008-04-21", - "bbox": "-60.37, -2.76, -60.03, -2.43", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1294934680-ORNL_DAAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1294934680-ORNL_DAAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/AMAZE-08_1308_1", - "description": "This data set provides measurements from the Amazonian Aerosol Characterization Experiment (AMAZE-08) carried out during the wet season from February 4 to March 21, 2008 in the central Amazon Basin. Aerosol and atmospheric samples and measurements were collected at Tower TT34 located 60 km NNW of downtown Manaus, and at Tower K34, located 1.6 km from the TT34 site. Physical characterization of aerosols included size, mass, and number distributions and light scattering properties. Chemical characterization included mass concentrations of organics, major anions and cations, and trace metals. Aerosol sources were estimated with measurements of black carbon and biogenic particles. Meteorological and atmospheric conditions including relative humidity, temperature, wind speed and direction, rain, photosynthetically active radiation (PAR), downward and upward solar irradiance, and condensation nuclei were measured. Atmospheric trace gases and volatile organic compounds (VOCs) were sampled and analyzed.", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360093-OB_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360093-OB_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/OB_DAAC/collections/Active_Fluorescence_2001_0", + "description": "Measurements in the Gulf Stream off the East Coast of the US in 2001", "license": "proprietary" }, { - "id": "APSF_Not provided", - "title": "Aerial Photo Single Frames", - "catalog": "USGS_LTA STAC Catalog", - "state_date": "1970-01-01", + "id": "C1_PANA_STUC00GTD_1", + "title": "Cartosat-1 PANA Standard Products", + "catalog": "ISRO STAC Catalog", + "state_date": "2005-08-05", "end_date": "", "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1220567654-USGS_LTA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1220567654-USGS_LTA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/USGS_LTA/collections/APSF_Not%20provided", - "description": "The Aerial Photography Single Frame Records collection is a large and diverse group of imagery acquired by Federal organizations from 1937 to the present. Over 6.4 million frames of photographic images are available for download as medium and high resolution digital products. The high resolution data provide access to photogrammetric quality scans of aerial photographs with sufficient resolution to reveal landscape detail and to facilitate the interpretability of landscape features. Coverage is predominantly over the United States and includes portions of Central America and Puerto Rico. Individual photographs vary in scale, size, film type, quality, and coverage.", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1293271378-ISRO.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1293271378-ISRO.html", + "href": "https://cmr.earthdata.nasa.gov/stac/ISRO/collections/C1_PANA_STUC00GTD_1", + "description": "This is High resolution satellite carries two PAN sensors with 2.5m resolution and fore-aft stereo capability. The payload is designed to cater to applications in cartography, terrain modeling, cadastral mapping etc. Standard products are full scene (path-row) based geo-referenced as well as geo-orthokit products.", "license": "proprietary" }, { - "id": "AQUARIUS_ANCILLARY_CELESTIALSKY_V1_1", - "title": "Aquarius Celestial Sky Microwave Emission Map Ancillary Dataset V1.0", - "catalog": "POCLOUD STAC Catalog", - "state_date": "2011-09-01", - "end_date": "2015-06-07", + "id": "C1_PANF_STUC00GTD_1", + "title": "Cartosat-1 PANF Standard Products", + "catalog": "ISRO STAC Catalog", + "state_date": "2005-08-05", + "end_date": "", "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2617176761-POCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2617176761-POCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections/AQUARIUS_ANCILLARY_CELESTIALSKY_V1_1", - "description": "This datasets contains three maps of L-band (wavelength = 21 cm) brightness temperature of the celestial sky (\"Galaxy\") used in the processing of the NASA Aquarius instrument data. The maps report Sky brightness temperatures in Kelvin gridded on the Earth Centered Inertial (ECI) reference frame epoch J2000. They are sampled over 721 Declinations between -90 degrees and +90 degrees and 1441 Right Ascensions between 0 degrees and 360 degrees, all evenly spaced at 0.25 degrees intervals. The brightness temperatures are assumed temporally invariant and polarization has been neglected. They include microwave continuum and atomic hydrogen line (HI) emissions. The maps differ only in how the strong radio source Cassiopeia A has been included into the whole sky background surveys: 1/ TB_no_Cas_A does not include Cassiopeia A and reports only the whole Sky surveys. 2/ TB_Cas_A_1cell spread Cas A total flux homogeneously over 1 map grid cell (i.e. 9.8572E-6 sr). 3/ TB_Cas_A_beam spreads Cas A over surrounding grid cells using a convolution by a Gaussian beam with HPBW of 35 arcmin (equivalent to the instrument used for the Sky surveys). Cassiopeia A is a supernova remnant (SNR) in the constellation Cassiopeia and the brightest extra-solar radio source in the sky at frequencies above 1.", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1293271427-ISRO.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1293271427-ISRO.html", + "href": "https://cmr.earthdata.nasa.gov/stac/ISRO/collections/C1_PANF_STUC00GTD_1", + "description": "This is High resolution satellite carries two PAN sensors with 2.5m resolution and fore-aft stereo capability. The payload is designed to cater to applications in cartography, terrain modeling, cadastral mapping etc. Standard products are full scene (path-row) based geo-referenced as well as geo-orthokit products.", "license": "proprietary" }, { - "id": "AQUARIUS_L2_SSS_CAP_V5_5.0", - "title": "Aquarius CAP Level 2 Sea Surface Salinity, Wind Speed & Direction Data V5.0", - "catalog": "POCLOUD STAC Catalog", - "state_date": "2011-08-26", - "end_date": "2015-06-05", + "id": "CLDMSK_L2_VIIRS_NOAA20_NRT_1", + "title": "VIIRS/NOAA-20 Cloud Mask L2 6-Min Swath 750m (NRT)", + "catalog": "ASIPS STAC Catalog", + "state_date": "2020-10-08", + "end_date": "", "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2205121315-POCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2205121315-POCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections/AQUARIUS_L2_SSS_CAP_V5_5.0", - "description": "The version 5.0 Aquarius CAP Level 2 product contains the fourth release of the AQUARIUS/SAC-D orbital/swath data based on the Combined Active Passive (CAP) algorithm. CAP is a P.I. produced dataset developed and provided by JPL. This Level 2 dataset contains sea surface salinity (SSS), wind speed and wind direction data derived from 3 different radiometers and the onboard scatterometer. The CAP algorithm simultaneously retrieves the salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the previous version include: updates to the Geophysical Model Functions to 4th order harmonics with the inclusion of sea surface temperature (SST) and stability at air-sea interface effects; use of the Canadian Meteorological Center (CMC) SST product as the new source ancillary sea surface temperature data in place of NOAA OI SST. Each L2 data file covers one 98 minute orbit. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath.", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2003160566-ASIPS.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2003160566-ASIPS.html", + "href": "https://cmr.earthdata.nasa.gov/stac/ASIPS/collections/CLDMSK_L2_VIIRS_NOAA20_NRT_1", + "description": "The NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) NASA Level-2 (L2) Cloud Mask is one of two continuity products designed to sustain the long-term records of both Moderate Resolution Imaging Spectroradiometer (MODIS) and VIIRS heritages. CLDMSK_L2_VIIRS_NOAA20_NRT is the shortname for the NOAA-20 VIIRS Near Real-time incarnation of the Cloud Mask continuity product derived from the MODIS-VIIRS cloud mask (MVCM) algorithm, which itself is based on the MODIS (MOD35) algorithm. MVCM describes a continuity algorithm that is central to both MODIS data (from Terra and Aqua missions) and VIIRS data (from SNPP and Joint Polar Satellite System missions). Please bear in mind that the term MVCM does not appear as an attribute within the product\u2019s metadata. Implemented to consistently handle MODIS and VIIRS inputs, the NOAA-20 VIIRS collection-1 products use calibration-adjusted NASA VIIRS L1B as inputs. The nominal spatial resolution of the NOAA-20 VIIRS L2 Cloud mask is 750 meters.", "license": "proprietary" }, { - "id": "AQUARIUS_L2_SSS_V5_5.0", - "title": "Aquarius Official Release Level 2 Sea Surface Salinity & Wind Speed Data V5.0", - "catalog": "POCLOUD STAC Catalog", - "state_date": "2011-08-25", - "end_date": "2015-06-07", + "id": "CLDMSK_L2_VIIRS_SNPP_NRT_1", + "title": "VIIRS/SNPP Cloud Mask L2 6-Min Swath 750m (NRT)", + "catalog": "ASIPS STAC Catalog", + "state_date": "2019-04-18", + "end_date": "", "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2036882456-POCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2036882456-POCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections/AQUARIUS_L2_SSS_V5_5.0", - "description": "The version 5.0 Aquarius Level 2 product is the official third release of the orbital/swath data from AQUARIUS/SAC-D mission. The Aquarius Level 2 data set contains sea surface salinity (SSS) and wind speed data derived from 3 different radiometers and the onboard scatterometer. Included also in the Level 2 data are the horizontal and vertical brightness temperatures (TH and TV) for each radiometer, ancillary data, flags, converted telemetry and navigation data. Each data file covers one 98 minute orbit. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath. Enhancements to the version 5.0 Level 2 data relative to v4.0 include: improvement of the salinity retrieval geophysical model for SST bias, estimates of SSS uncertainties (systematic and random components), and inclusion of a new spiciness variable.", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607563719-ASIPS.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607563719-ASIPS.html", + "href": "https://cmr.earthdata.nasa.gov/stac/ASIPS/collections/CLDMSK_L2_VIIRS_SNPP_NRT_1", + "description": "The Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) NASA Level-2 (L2) Cloud Mask is one of two continuity products designed to sustain the long-term records of both Moderate Resolution Imaging Spectroradiometer (MODIS) and VIIRS heritages. CLDMSK_L2_VIIRS_SNPP is the shortname for the SNPP VIIRS incarnation of the Cloud Mask continuity product derived from the MODIS-VIIRS cloud mask (MVCM) algorithm, which itself is based on the MODIS (MOD35) algorithm. MVCM describes a continuity algorithm that is central to both MODIS data (from Terra and Aqua missions) and VIIRS data (from SNPP and Joint Polar Satellite System missions). Please bear in mind that the term MVCM does not appear as an attribute within the product\u2019s metadata. Implemented to consistently handle MODIS and VIIRS inputs, the SNPP VIIRS collection-1 products use calibration-adjusted NASA VIIRS L1B as inputs. The nominal spatial resolution of the SNPP VIIRS L2 Cloud mask is 750 meters.", "license": "proprietary" }, { - "id": "AQUARIUS_L3_ANCILLARY_SST_SMIA_28DAY-RUNNINGMEAN_V5_5.0", - "title": "Aquarius Official Release Level 3 Ancillary Reynolds Sea Surface Temperature Standard Mapped Image Ascending 28-Day Running Mean Data V5.0", - "catalog": "POCLOUD STAC Catalog", - "state_date": "2011-08-25", - "end_date": "2015-06-07", + "id": "Catlin_Arctic_Survey_0", + "title": "2011 R/V Catlin cruise in the Arctic Ocean", + "catalog": "OB_DAAC STAC Catalog", + "state_date": "2011-03-17", + "end_date": "", "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491755435-POCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491755435-POCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections/AQUARIUS_L3_ANCILLARY_SST_SMIA_28DAY-RUNNINGMEAN_V5_5.0", - "description": "Aquarius Level 3 ancillary sea surface temperature (SST) standard mapped image data are the ancillary SST data used in the Aquarius calibration for salinity retrieval. They are simply the daily SSTs from the Reynolds National Climatic Data Center (NCDC) 0.25 degree dataset, gridded and averaged using the Aquarius processing L2-L3 processing scheme to the same 1 degree spatial resolution and daily, 7 day, monthly, 7-Day, and annual time intervals as Aquarius L3 standard salinity and wind speed products. This particular data set is the 28-Day running mean, ascending ancillary sea surface temperature product associated with version 5.0 of the Aquarius data set, which is the official end of mission public data release from the AQUARIUS/SAC-D mission.", - "license": "proprietary" - }, - { - "id": "AQUARIUS_L3_ANCILLARY_SST_SMIA_7DAY_V5_5.0", - "title": "Aquarius Official Release Level 3 Ancillary Reynolds Sea Surface Temperature Standard Mapped Image Ascending 7-Day Data V5.0", - "catalog": "POCLOUD STAC Catalog", - "state_date": "2011-08-25", - "end_date": "2015-06-07", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491755454-POCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491755454-POCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections/AQUARIUS_L3_ANCILLARY_SST_SMIA_7DAY_V5_5.0", - "description": "Aquarius Level 3 ancillary sea surface temperature (SST) standard mapped image data are the ancillary SST data used in the Aquarius calibration for salinity retrieval. They are simply the daily SSTs from the Reynolds National Climatic Data Center (NCDC) 0.25 degree dataset, gridded and averaged using the Aquarius processing L2-L3 processing scheme to the same 1 degree spatial resolution and daily, 7 day, monthly, 7-Day, and annual time intervals as Aquarius L3 standard salinity and wind speed products. This particular data set is the 7-Day, ascending ancillary sea surface temperature product associated with version 5.0 of the Aquarius data set, which is the official end of mission public data release from the AQUARIUS/SAC-D mission.", - "license": "proprietary" - }, - { - "id": "AQUARIUS_L3_ANCILLARY_SST_SMIA_ANNUAL_V5_5.0", - "title": "Aquarius Official Release Level 3 Ancillary Reynolds Sea Surface Temperature Standard Mapped Image Ascending Annual Data V5.0", - "catalog": "POCLOUD STAC Catalog", - "state_date": "2011-08-25", - "end_date": "2015-06-07", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491755465-POCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491755465-POCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections/AQUARIUS_L3_ANCILLARY_SST_SMIA_ANNUAL_V5_5.0", - "description": "Aquarius Level 3 ancillary sea surface temperature (SST) standard mapped image data are the ancillary SST data used in the Aquarius calibration for salinity retrieval. They are simply the daily SSTs from the Reynolds National Climatic Data Center (NCDC) 0.25 degree dataset, gridded and averaged using the Aquarius processing L2-L3 processing scheme to the same 1 degree spatial resolution and daily, 7 day, monthly, Annual, and annual time intervals as Aquarius L3 standard salinity and wind speed products. This particular data set is the Annual, ascending ancillary sea surface temperature product associated with version 5.0 of the Aquarius data set, which is the official end of mission public data release from the AQUARIUS/SAC-D mission.", - "license": "proprietary" - }, - { - "id": "AQUARIUS_L3_ANCILLARY_SST_SMIA_CUMULATIVE_V5_5.0", - "title": "Aquarius Official Release Level 3 Ancillary Reynolds Sea Surface Temperature Standard Mapped Image Ascending Mission Cumulative Data V5.0", - "catalog": "POCLOUD STAC Catalog", - "state_date": "2011-08-25", - "end_date": "2015-06-07", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491755483-POCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491755483-POCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections/AQUARIUS_L3_ANCILLARY_SST_SMIA_CUMULATIVE_V5_5.0", - "description": "Aquarius Level 3 ancillary sea surface temperature (SST) standard mapped image data are the ancillary SST data used in the Aquarius calibration for salinity retrieval. 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This particular data set is the mission series mean or cumulative, ascending ancillary sea surface temperature product associated with version 5.0 of the Aquarius data set.", - "license": "proprietary" - }, - { - "id": "AQUARIUS_L3_ANCILLARY_SST_SMIA_DAILY_V5_5.0", - "title": "Aquarius Official Release Level 3 Ancillary Reynolds Sea Surface Temperature Standard Mapped Image Ascending Daily Data V5.0", - "catalog": "POCLOUD STAC Catalog", - "state_date": "2011-08-25", - "end_date": "2015-06-07", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491755495-POCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491755495-POCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections/AQUARIUS_L3_ANCILLARY_SST_SMIA_DAILY_V5_5.0", - "description": "Aquarius Level 3 ancillary sea surface temperature (SST) standard mapped image data are the ancillary SST data used in the Aquarius calibration for salinity retrieval. 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This particular data set is the monthly climatology ascending ancillary sea surface temperature product associated with version 5.0 of the Aquarius data set, which is the official end of mission public data release from the AQUARIUS/SAC-D mission.", - "license": "proprietary" - }, - { - "id": "AQUARIUS_L3_ANCILLARY_SST_SMI_28DAY-RUNNINGMEAN_V5_5.0", - "title": "Aquarius Official Release Level 3 Ancillary Reynolds Sea Surface Temperature Standard Mapped Image 28-Day Running Mean Data V5.0", - "catalog": "POCLOUD STAC Catalog", - "state_date": "2011-08-25", - "end_date": "2015-06-07", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491742792-POCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491742792-POCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections/AQUARIUS_L3_ANCILLARY_SST_SMI_28DAY-RUNNINGMEAN_V5_5.0", - "description": "Aquarius Level 3 ancillary sea surface temperature (SST) standard mapped image data are the ancillary SST data used in the Aquarius calibration for salinity retrieval. 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They are simply the daily SSTs from the Reynolds National Climatic Data Center (NCDC) 0.25 degree dataset, gridded and averaged using the Aquarius processing L2-L3 processing scheme to the same 1 degree spatial resolution and daily, 7 day, monthly, 7-Day, and annual time intervals as Aquarius L3 standard salinity and wind speed products. 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They are simply the daily SSTs from the Reynolds National Climatic Data Center (NCDC) 0.25 degree dataset, gridded and averaged using the Aquarius processing L2-L3 processing scheme to the same 1 degree spatial resolution and daily, 7 day, monthly, Annual, and annual time intervals as Aquarius L3 standard salinity and wind speed products. This particular data set is the Annual ancillary sea surface temperature product associated with version 5.0 of the Aquarius data set, which is the official end of mission public data release from the AQUARIUS/SAC-D mission.", - "license": "proprietary" - }, - { - "id": "AQUARIUS_L3_SSS_CAP_7DAY_V5_5.0", - "title": "Aquarius CAP Level 3 Sea Surface Salinity Standard Mapped Image 7-Day Data V5.0", - "catalog": "POCLOUD STAC Catalog", - "state_date": "2011-08-26", - "end_date": "2015-06-08", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491756349-POCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491756349-POCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections/AQUARIUS_L3_SSS_CAP_7DAY_V5_5.0", - "description": "Version 5.0 Aquarius CAP Level 3 products are the fourth release of the AQUARIUS/SAC-D mapped salinity and wind speed data based on the Combined Active Passive (CAP) algorithm. Level 3 standard mapped image products contain gridded 1 degree spatial resolution salinity and wind speed data averaged over 7 day and monthly time scales. This particular dataset is the 7-Day running mean sea surface salinity (SSS) V5.0 Aquarius CAP product. CAP is a P.I. produced dataset developed and provided by JPL. The CAP algorithm utilizes data from both the onboard radiometer and scatterometer to simultaneously retrieve salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the previous version include: updates to the Geophysical Model Functions to 4th order harmonics with the inclusion of sea surface temperature (SST) and stability at air-sea interface effects; use of the Canadian Meteorological Center (CMC) SST product as the new source ancillary sea surface temperature data in place of NOAA OI SST. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath.", - "license": "proprietary" - }, - { - "id": "AQUARIUS_L3_SSS_CAP_MONTHLY_V5_5.0", - "title": "Aquarius CAP Level 3 Sea Surface Salinity Standard Mapped Image Monthly Data V5.0", - "catalog": "POCLOUD STAC Catalog", - "state_date": "2011-09-01", - "end_date": "2015-06-01", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491756350-POCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491756350-POCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections/AQUARIUS_L3_SSS_CAP_MONTHLY_V5_5.0", - "description": "Version 5.0 Aquarius CAP Level 3 products are the fourth release of the AQUARIUS/SAC-D mapped salinity and wind speed data based on the Combined Active Passive (CAP) algorithm. CAP Level 3 standard mapped image products contain gridded 1 degree spatial resolution salinity and wind speed data averaged over 7 day and monthly time scales. This particular dataset is the monthly sea surface salinity (SSS) V5.0 Aquarius CAP product. CAP is a P.I. produced dataset developed and provided by JPL. The CAP algorithm utilizes data from both the onboard radiometer and scatterometer to simultaneously retrieve salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the previous version include: updates to the Geophysical Model Functions to 4th order harmonics with the inclusion of sea surface temperature (SST) and stability at air-sea interface effects; use of the Canadian Meteorological Center (CMC) SST product as the new source ancillary sea surface temperature data in place of NOAA OI SST. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath.", - "license": "proprietary" - }, - { - "id": "AQUARIUS_L3_SSS_RAINCORRECTED_CAP_7DAY_V5_5.0", - "title": "Aquarius CAP Level 3 Sea Surface Salinity Rain Corrected Standard Mapped Image 7-Day Data V5.0", - "catalog": "POCLOUD STAC Catalog", - "state_date": "2011-08-26", - "end_date": "2015-06-08", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491756351-POCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491756351-POCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections/AQUARIUS_L3_SSS_RAINCORRECTED_CAP_7DAY_V5_5.0", - "description": "Version 5.0 Aquarius CAP Level 3 products are the fourth release of the AQUARIUS/SAC-D mapped salinity and wind speed data based on the Combined Active Passive (CAP) algorithm. CAP Level 3 standard mapped image products contain gridded 1 degree spatial resolution salinity and wind speed data averaged over 7 day and monthly time scales. This particular dataset is the 7-Day running mean sea surface salinity (SSS) rain corrected V5.0 Aquarius CAP product. CAP is a P.I. produced dataset developed and provided by JPL. The CAP algorithm utilizes data from both the onboard radiometer and scatterometer to simultaneously retrieve salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the previous version include: updates to the Geophysical Model Functions to 4th order harmonics with the inclusion of sea surface temperature (SST) and stability at air-sea interface effects; use of the Canadian Meteorological Center (CMC) SST product as the new source ancillary sea surface temperature data in place of NOAA OI SST. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath.", - "license": "proprietary" - }, - { - "id": "AQUARIUS_L3_SSS_RAINCORRECTED_CAP_MONTHLY_V5_5.0", - "title": "Aquarius CAP Level 3 Sea Surface Salinity Rain Corrected Standard Mapped Image Monthly Data V5.0", - "catalog": "POCLOUD STAC Catalog", - "state_date": "2011-09-01", - "end_date": "2015-06-01", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491756352-POCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491756352-POCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections/AQUARIUS_L3_SSS_RAINCORRECTED_CAP_MONTHLY_V5_5.0", - "description": "Version 5.0 Aquarius CAP Level 3 products are the fourth release of the AQUARIUS/SAC-D mapped salinity and wind speed data based on the Combined Active Passive (CAP) algorithm. CAP Level 3 standard mapped image products contain gridded 1 degree spatial resolution salinity and wind speed data averaged over 7 day and monthly time scales. This particular dataset is the monthly sea surface salinity (SSS) rain corrected V5.0 Aquarius CAP product. CAP is a P.I. produced dataset developed and provided by JPL. The CAP algorithm utilizes data from both the onboard radiometer and scatterometer to simultaneously retrieve salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the previous version include: updates to the Geophysical Model Functions to 4th order harmonics with the inclusion of sea surface temperature (SST) and stability at air-sea interface effects; use of the Canadian Meteorological Center (CMC) SST product as the new source ancillary sea surface temperature data in place of NOAA OI SST. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath.", - "license": "proprietary" - }, - { - "id": "AQUARIUS_L3_WIND_SPEED_CAP_7DAY_V5_5.0", - "title": "Aquarius CAP Level 3 Wind Speed Standard Mapped Image 7-Day Data V5.0", - "catalog": "POCLOUD STAC Catalog", - "state_date": "2011-08-26", - "end_date": "2015-06-08", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491757161-POCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491757161-POCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections/AQUARIUS_L3_WIND_SPEED_CAP_7DAY_V5_5.0", - "description": "Version 5.0 Aquarius CAP Level 3 products are the fourth release of the AQUARIUS/SAC-D mapped salinity and wind speed data based on the Combined Active Passive (CAP) algorithm. CAP Level 3 standard mapped image products contain gridded 1 degree spatial resolution salinity and wind speed data averaged over 7 day and monthly time scales. This particular dataset is the 7-Day running mean wind speed V5.0 Aquarius CAP product. CAP is a P.I. produced dataset developed and provided by JPL. The CAP algorithm utilizes data from both the onboard radiometer and scatterometer to simultaneously retrieve salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the previous version include: updates to the Geophysical Model Functions to 4th order harmonics with the inclusion of sea surface temperature (SST) and stability at air-sea interface effects; use of the Canadian Meteorological Center (CMC) SST product as the new source ancillary sea surface temperature data in place of NOAA OI SST. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath.", - "license": "proprietary" - }, - { - "id": "AQUARIUS_L3_WIND_SPEED_CAP_MONTHLY_V5_5.0", - "title": "Aquarius CAP Level 3 Wind Speed Standard Mapped Image Monthly Data V5.0", - "catalog": "POCLOUD STAC Catalog", - "state_date": "2011-09-01", - "end_date": "2015-06-01", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491757162-POCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491757162-POCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections/AQUARIUS_L3_WIND_SPEED_CAP_MONTHLY_V5_5.0", - "description": "Version 5.0 Aquarius CAP Level 3 products are the fourth release of the AQUARIUS/SAC-D mapped salinity and wind speed data based on the Combined Active Passive (CAP) algorithm. CAP Level 3 standard mapped image products contain gridded 1 degree spatial resolution salinity and wind speed data averaged over 7 day and monthly time scales. This particular dataset is the monthly wind speed V5.0 Aquarius CAP product. CAP is a P.I. produced dataset developed and provided by JPL. The CAP algorithm utilizes data from both the onboard radiometer and scatterometer to simultaneously retrieve salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the previous version include: updates to the Geophysical Model Functions to 4th order harmonics with the inclusion of sea surface temperature (SST) and stability at air-sea interface effects; use of the Canadian Meteorological Center (CMC) SST product as the new source ancillary sea surface temperature data in place of NOAA OI SST. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath.", - "license": "proprietary" - }, - { - "id": "AST14DEM_003", - "title": "ASTER Digital Elevation Model V003", - "catalog": "LPDAAC_ECS STAC Catalog", - "state_date": "2000-03-06", - "end_date": "", - "bbox": "-180, -83, 180, 83", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1299783579-LPDAAC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1299783579-LPDAAC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections/AST14DEM_003", - "description": "The ASTER Digital Elevation Model (AST14DEM) product is generated (https://lpdaac.usgs.gov/documents/996/ASTER_Earthdata_Search_Order_Instructions.pdf) using bands 3N (nadir-viewing) and 3B (backward-viewing) of an (ASTER Level 1A) (https://doi.org/10.5067/ASTER/AST_L1A.003) image acquired by the Visible and Near Infrared (VNIR) sensor. The VNIR subsystem includes two independent telescope assemblies that facilitate the generation of stereoscopic data. The band 3 stereo pair is acquired in the spectral range of 0.78 and 0.86 microns with a base-to-height ratio of 0.6 and an intersection angle of 27.7 degrees. There is a time lag of approximately one minute between the acquisition of the nadir and backward images. For a better understanding, refer to this (diagram) (https://lpdaac.usgs.gov/documents/301/ASTER_Along_Track_Imaging_Geometry.png) depicting the along-track imaging geometry of the ASTER VNIR nadir and backward-viewing sensors. The accuracy of the new LP DAAC produced DEMs will meet or exceed accuracy specifications set for the ASTER relative DEMs by the Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/81/AST14_ATBD.pdf). Users likely will find that the DEMs produced by the new LP DAAC system have accuracies approaching those specified in the ATBD for absolute DEMs. Validation testing has shown that DEMs produced by the new system frequently are more accurate than 25 meters root mean square error (RMSE) in xyz dimensions. Improvements/Changes from Previous Versions As of January 2021, the LP DAAC has implemented version 3.0 of the Sensor Information Laboratory Corporation ASTER DEM/Ortho (SILCAST) software, which is used to generate the Level 2 on-demand ASTER Orthorectified and Digital Elevation Model (DEM) products (AST14). The updated software provides digital elevation extraction and orthorectification from ASTER L1B input data without needing to enter ground control points or depending on external global DEMs at 30-arc-second resolution (GTOPO30). It utilizes the ephemeris and attitude data derived from both the ASTER instrument and the Terra spacecraft platform. The outputs are geoid height-corrected and waterbodies are automatically detected in this version. Users will notice differences between AST14DEM, AST14DMO, and AST14OTH products ordered before January 2021 (generated with SILCAST V1) and those generated with the updated version of the production software (version 3.0). Differences may include slight elevation changes over different surface types, including waterbodies. Differences have also been observed over cloudy portions of ASTER scenes. Additional information on SILCAST version 3.0 can be found on the SILCAST website (http://www.silc.co.jp/en/products.html). Starting June 23, 2021, radiometric calibration coefficient Version 5 (RCC V5) will be applied to newly observed ASTER data and archived ASTER data products. Details regarding RCC V5 are described in the following journal article. Tsuchida, S., Yamamoto, H., Kouyama, T., Obata, K., Sakuma, F., Tachikawa, T., Kamei, A., Arai, K., Czapla-Myers, J.S., Biggar, S.F., and Thome, K.J., 2020, Radiometric Degradation Curves for the ASTER VNIR Processing Using Vicarious and Lunar Calibrations: Remote Sensing, v. 12, no. 3, at https://doi.org/10.3390/rs12030427. ", - "license": "proprietary" - }, - { - "id": "ASTGTM_003", - "title": "ASTER Global Digital Elevation Model V003", - "catalog": "LPCLOUD STAC Catalog", - "state_date": "2000-03-01", - "end_date": "2013-11-30", - "bbox": "-180, -83, 180, 82", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1711961296-LPCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1711961296-LPCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/ASTGTM_003", - "description": "The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator). The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan\u2019s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A (https://doi.org/10.5067/ASTER/AST_L1A.003) archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1 degree latitude by 1 degree longitude tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) (https://doi.org/10.5067/ASTER/ASTWBD.001) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83\u00b0 North to 83\u00b0 South. Each tile is distributed in GeoTIFF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. Provided in the ASTER GDEM product are layers for DEM and number of scenes (NUM). The NUM layer indicates the number of scenes that were processed for each pixel and the source of the data. While the ASTER GDEM Version 3 data products offer substantial improvements over Version 2, users are advised that the products still may contain anomalies and artifacts that will reduce its usability for certain applications. Improvements/Changes from Previous Versions \u2022 Expansion of acquisition coverage to increase the amount of cloud-free input scenes from about 1.5 million in Version 2 to about 1.88 million scenes in Version 3. \u2022 Separation of rivers from lakes in the water body processing. \u2022 Minimum water body detection size decreased from 1 km2 to 0.2 km2. ", - "license": "proprietary" - }, - { - "id": "ASTGTM_NC_003", - "title": "ASTER Global Digital Elevation Model NetCDF V003", - "catalog": "LPCLOUD STAC Catalog", - "state_date": "2000-03-01", - "end_date": "2013-11-30", - "bbox": "-180, -83, 180, 82", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2439422590-LPCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2439422590-LPCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/ASTGTM_NC_003", - "description": "The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator). The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan\u2019s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A (https://doi.org/10.5067/ASTER/AST_L1A.003) archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1 degree latitude by 1 degree longitude tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) (https://doi.org/10.5067/ASTER/ASTWBD.001) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83\u00b0 North to 83\u00b0 South. Each tile is distributed in NetCDF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. Each ASTGTM_NC data product contains a DEM file, which provides elevation information. The corresponding ASTGTM_NUMNC file indicates the number of scenes that were processed for each pixel and the source of the data. While the ASTER GDEM Version 3 data products offer substantial improvements over Version 2, users are advised that the products still may contain anomalies and artifacts that will reduce its usability for certain applications. Improvements/Changes from Previous Versions \u2022 Expansion of acquisition coverage to increase the amount of cloud-free input scenes from about 1.5 million in Version 2 to about 1.88 million scenes in Version 3. \u2022 Separation of rivers from lakes in the water body processing. \u2022 Minimum water body detection size decreased from 1 km2 to 0.2 km2. ", - "license": "proprietary" - }, - { - "id": "ASTGTM_NUMNC_003", - "title": "ASTER Global Digital Elevation Model Attributes NetCDF V003", - "catalog": "LPCLOUD STAC Catalog", - "state_date": "2000-03-01", - "end_date": "2013-11-30", - "bbox": "-180, -83, 180, 82", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2439429778-LPCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2439429778-LPCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/ASTGTM_NUMNC_003", - "description": "The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator). The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan\u2019s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A (https://doi.org/10.5067/ASTER/AST_L1A.003) archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1 degree latitude by 1 degree longitude tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) (https://doi.org/10.5067/ASTER/ASTWBD.001) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83\u00b0 North to 83\u00b0 South. Each tile is distributed in NetCDF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. Each ASTGTM_NUMNC file indicates the number of scenes that were processed for each pixel and the source of the data.. The corresponding ASTGTM_NC data product contains a DEM file, which provides elevation information. While the ASTER GDEM Version 3 data products offer substantial improvements over Version 2, users are advised that the products still may contain anomalies and artifacts that will reduce its usability for certain applications. Improvements/Changes from Previous Versions \u2022 Expansion of acquisition coverage to increase the amount of cloud-free input scenes from about 1.5 million in Version 2 to about 1.88 million scenes in Version 3. \u2022 Separation of rivers from lakes in the water body processing. \u2022 Minimum water body detection size decreased from 1 km2 to 0.2 km2. ", - "license": "proprietary" - }, - { - "id": "ASTWBD_001", - "title": "ASTER Global Water Bodies Database V001", - "catalog": "LPDAAC_ECS STAC Catalog", - "state_date": "2000-03-01", - "end_date": "2013-11-30", - "bbox": "-180, -83, 180, 82", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1575734433-LPDAAC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1575734433-LPDAAC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections/ASTWBD_001", - "description": "The ASTER Global Water Bodies Database (ASTWBD) Version 1 data product provides global coverage of water bodies larger than 0.2 square kilometers at a spatial resolution of 1 arc second (approximately 30 meters) at the equator, along with associated elevation information. The ASTWBD data product was created in conjunction with the ASTER Global Digital Elevation Model (ASTER GDEM) Version 3 data product by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was generated using ASTER Level 1A (https://doi.org/10.5067/ASTER/AST_L1A.003) scenes acquired between March 1, 2000, and November 30, 2013. The ASTWBD data product was then generated to correct elevation values of water body surfaces. To generate the ASTWBD data product, water bodies were separated from land areas and then classified into three categories: ocean, river, or lake. Oceans and lakes have a flattened, constant elevation value. The effects of sea ice were manually removed from areas classified as oceans to better delineate ocean shorelines in high latitude areas. For lake waterbodies, the elevation for each lake was calculated from the perimeter elevation data using the mosaic image that covers the entire area of the lake. Rivers presented a unique challenge given that their elevations gradually step down from upstream to downstream; therefore, visual inspection and other manual detection methods were required. The geographic coverage of the ASTWBD extends from 83\u00b0N to 83\u00b0S. Each tile is distributed in GeoTIFF format and referenced to the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each data product is provided as a zipped file that contains an attribute file with the water body classification information and a DEM file, which provides elevation information in meters. ", - "license": "proprietary" - }, - { - "id": "ASTWBD_ATTNC_001", - "title": "ASTER Global Water Bodies Database Attributes NetCDF V001", - "catalog": "LPDAAC_ECS STAC Catalog", - "state_date": "2000-03-01", - "end_date": "2013-11-30", - "bbox": "-180, -83, 180, 82", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1575734760-LPDAAC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1575734760-LPDAAC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections/ASTWBD_ATTNC_001", - "description": "The ASTER Global Water Bodies Database (ASTWBD) Version 1 data product provides global coverage of water bodies larger than 0.2 square kilometers at a spatial resolution of 1 arc second (approximately 30 meters) at the equator, along with associated elevation information. The ASTWBD data product was created in conjunction with the ASTER Global Digital Elevation Model (ASTER GDEM) Version 3 data product by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was generated using ASTER Level 1A (https://doi.org/10.5067/ASTER/AST_L1A.003) scenes acquired between March 1, 2000, and November 30, 2013. The ASTWBD data product was then generated to correct elevation values of water body surfaces. To generate the ASTWBD data product, water bodies were separated from land areas and then classified into three categories: ocean, river, or lake. Oceans and lakes have a flattened, constant elevation value. The effects of sea ice were manually removed from areas classified as oceans to better delineate ocean shorelines in high latitude areas. For lake waterbodies, the elevation for each lake was calculated from the perimeter elevation data using the mosaic image that covers the entire area of the lake. Rivers presented a unique challenge given that their elevations gradually step down from upstream to downstream; therefore, visual inspection and other manual detection methods were required. The geographic coverage of the ASTWBD extends from 83\u00b0N to 83\u00b0S. Each tile is distributed in NetCDF format and referenced to the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each ASTWBD_ATTNC file contains an attribute file with the water body classification information. The corresponding ASTWBD_NC data product DEM file, which provides elevation information in meters.", - "license": "proprietary" - }, - { - "id": "ASTWBD_NC_001", - "title": "ASTER Global Water Bodies Database NetCDF V001", - "catalog": "LPDAAC_ECS STAC Catalog", - "state_date": "2000-03-01", - "end_date": "2013-11-30", - "bbox": "-180, -83, 180, 82", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1575734501-LPDAAC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1575734501-LPDAAC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections/ASTWBD_NC_001", - "description": "The ASTER Global Water Bodies Database (ASTWBD) Version 1 data product provides global coverage of water bodies larger than 0.2 square kilometers at a spatial resolution of 1 arc second (approximately 30 meters) at the equator, along with associated elevation information. The ASTWBD data product was created in conjunction with the ASTER Global Digital Elevation Model (ASTER GDEM) Version 3 data product by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was generated using ASTER Level 1A (https://doi.org/10.5067/ASTER/AST_L1A.003) scenes acquired between March 1, 2000, and November 30, 2013. The ASTWBD data product was then generated to correct elevation values of water body surfaces. To generate the ASTWBD data product, water bodies were separated from land areas and then classified into three categories: ocean, river, or lake. Oceans and lakes have a flattened, constant elevation value. The effects of sea ice were manually removed from areas classified as oceans to better delineate ocean shorelines in high latitude areas. For lake waterbodies, the elevation for each lake was calculated from the perimeter elevation data using the mosaic image that covers the entire area of the lake. Rivers presented a unique challenge given that their elevations gradually step down from upstream to downstream; therefore, visual inspection and other manual detection methods were required. The geographic coverage of the ASTWBD extends from 83\u00b0N to 83\u00b0S. Each tile is distributed in NetCDF format and referenced to the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each ASTWBD_NC data product DEM file, which provides elevation information in meters. The corresponding ASTWBD_ATTNC file contains an attribute file with the water body classification information.", - "license": "proprietary" - }, - { - "id": "AST_05_003", - "title": "ASTER L2 Surface Emissivity V003", - "catalog": "LPDAAC_ECS STAC Catalog", - "state_date": "2000-03-04", - "end_date": "", - "bbox": "-180, -83, 180, 83", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1299783607-LPDAAC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1299783607-LPDAAC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections/AST_05_003", - "description": "The ASTER L2 Surface Emissivity is an on-demand product ((https://lpdaac.usgs.gov/documents/996/ASTER_Earthdata_Search_Order_Instructions.pdf)) generated using the five thermal infrared (TIR) bands (acquired either during the day or night time) between 8 and 12 \u00b5m spectral range. It contains surface emissivity over the land at 90 meters spatial resolution. Estimates of surface emissivity were thus far only derived using surrogates such as land-cover type or vegetation index. The Temperature/Emissivity Separation (TES) algorithm is used to derive both E (emissivity) and T (surface temperature). The main goals of the TES algorithm include: recovering accurate and precise emissivities for mineral substrates, and estimating accurate and precise surface temperatures especially over vegetation, water and snow.The TES algorithm is executed in the ASTER processing chain following generation of ASTER Level-2 Surface Radiance (TIR). The land-leaving radiance and down-welling irradiance vectors for each pixel are taken in account. Emissivity is estimated using the Normalized Emissivity Method (NEM), and is iteratively compensated for reflected sunlight. The emissivity spectrum is normalized using the average emissivity of each pixel. The minimum-maximum difference (MMD) of the normalized spectrum is calculated and estimates of the minimum emissivity derived through regression analysis. These estimates are used to scale the normalized emissivity and compensate for reflected skylight with the derived refinement of emissivity. ASTER Level 2 data requests for observations that occurred after May 27, 2020 will resort back to using the climatology ozone input. Additional information can be found in the ASTER L2 Processing Options Update (https://lpdaac.usgs.gov/news/aster-l2-processing-options-update/). V003 data set release date: 2002-05-03 Starting June 23, 2021, radiometric calibration coefficient Version 5 (RCC V5) will be applied to newly observed ASTER data and archived ASTER data products. Details regarding RCC V5 are described in the following journal article. Tsuchida, S., Yamamoto, H., Kouyama, T., Obata, K., Sakuma, F., Tachikawa, T., Kamei, A., Arai, K., Czapla-Myers, J.S., Biggar, S.F., and Thome, K.J., 2020, Radiometric Degradation Curves for the ASTER VNIR Processing Using Vicarious and Lunar Calibrations: Remote Sensing, v. 12, no. 3, at https://doi.org/10.3390/rs12030427. As of December 15, 2021, the LP DAAC has implemented changes to ASTER PGE Version 3.4, which will affect all ASTER Level 2 on-demand products. Changes include: \u2022\tAura Ozone Monitoring Instrument (OMI) has been added as one of the ancillary ozone inputs for any observations made after May 27, 2020. The sequence of fallbacks for ozone will remain the same. \u2022\tToolkit has been updated from Version 5.2.17 to 5.2.20. Users may notice minor differences between the two versions. Differences may include minuscule changes in digital numbers around the peripheral of the granule and boundaries of a cloud for Surface Reflectance and Surface Radiance (AST07 and AST09) QA Data Plane depending on the Operating System and libraries being used by the user to process the data. Additionally, Climatology, which is one of the inputs for Ozone and Moisture, Temperature and Pressures (MTP) will be removed from the Earthdata Order Form. It has been observed that PGEs generated with Climatology as an input yield noticeable differences statistically during image and spectral analysis. Climatology will continue to be used as the final default if neither of the first two selectable options are available for Ozone and MTP. Users can check the OPERATIONALQUALITYFLAGEXPLANATION field in the metadata or the output file for atmospheric parameters that were applied ", - "license": "proprietary" - }, - { - "id": "AST_07XT_003", - "title": "ASTER L2 Surface Reflectance VNIR and Crosstalk Corrected SWIR V003", - "catalog": "LPDAAC_ECS STAC Catalog", - "state_date": "2000-03-06", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1299783608-LPDAAC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1299783608-LPDAAC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections/AST_07XT_003", - "description": "The ASTER Surface Reflectance VNIR and Crosstalk Corrected SWIR (AST_07XT) dataset (https://lpdaac.usgs.gov/documents/996/ASTER_Earthdata_Search_Order_Instructions.pdf) contains measures of the fraction of incoming solar radiation reflected from the Earth\u2019s surface to the ASTER instrument corrected for atmospheric effects and viewing geometry for both the Visible and Near Infrared (VNIR) and Shortwave Infrared (SWIR) sensors. Each product delivery includes two Hierarchical Data Format - Earth Observing System (HDF-EOS) files: one for the VNIR, and the other for the SWIR. They are distinguished from one another by a one-second difference in the production time that appears as part of the file name. Both the VNIR and SWIR data are atmospherically corrected and are generated using the bands of the corresponding (ASTER L1B) (https://doi.org/10.5067/ASTER/AST_L1B.003) image. AST_07XT is a multi-file product that contains atmospherically corrected data for both the VNIR and SWIR sensors. The crosstalk corrected product no longer displays blurred images initiated by stray light that caused multiple reflections with the SWIR bands. ASTER Level 2 data requests for observations that occurred after May 27, 2020 will resort back to using the climatology ozone input. Additional information can be found in the ASTER L2 Processing Options Update (https://lpdaac.usgs.gov/news/aster-l2-processing-options-update/). Starting June 23, 2021, radiometric calibration coefficient Version 5 (RCC V5) will be applied to newly observed ASTER data and archived ASTER data products. Details regarding RCC V5 are described in the following journal article. Tsuchida, S., Yamamoto, H., Kouyama, T., Obata, K., Sakuma, F., Tachikawa, T., Kamei, A., Arai, K., Czapla-Myers, J.S., Biggar, S.F., and Thome, K.J., 2020, Radiometric Degradation Curves for the ASTER VNIR Processing Using Vicarious and Lunar Calibrations: Remote Sensing, v. 12, no. 3, at https://doi.org/10.3390/rs12030427. As of December 15, 2021, the LP DAAC has implemented changes to ASTER PGE Version 3.4, which will affect all ASTER Level 2 on-demand products. Changes include: \u2022\tAura Ozone Monitoring Instrument (OMI) has been added as one of the ancillary ozone inputs for any observations made after May 27, 2020. The sequence of fallbacks for ozone will remain the same. \u2022\tToolkit has been updated from Version 5.2.17 to 5.2.20. Users may notice minor differences between the two versions. Differences may include minuscule changes in digital numbers around the peripheral of the granule and boundaries of a cloud for Surface Reflectance and Surface Radiance (AST07 and AST09) QA Data Plane depending on the Operating System and libraries being used by the user to process the data. Additionally, Climatology, which is one of the inputs for Ozone and Moisture, Temperature and Pressures (MTP) will be removed from the Earthdata Order Form. It has been observed that PGEs generated with Climatology as an input yield noticeable differences statistically during image and spectral analysis. Climatology will continue to be used as the final default if neither of the first two selectable options are available for Ozone and MTP. Users can check the OPERATIONALQUALITYFLAGEXPLANATION field in the metadata or the output file for atmospheric parameters that were applied ", - "license": "proprietary" - }, - { - "id": "AST_07_003", - "title": "ASTER L2 Surface Reflectance SWIR and ASTER L2 Surface Reflectance VNIR V003", - "catalog": "LPDAAC_ECS STAC Catalog", - "state_date": "2000-03-06", - "end_date": "", - "bbox": "-180, -83, 180, 83", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1299783800-LPDAAC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1299783800-LPDAAC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections/AST_07_003", - "description": "The ASTER Surface Reflectance VNIR and SWIR (AST_07) data product (https://lpdaac.usgs.gov/documents/996/ASTER_Earthdata_Search_Order_Instructions.pdf) contains measures of the fraction of incoming solar radiation reflected from the Earth\u2019s surface to the ASTER instrument corrected for atmospheric effects and viewing geometry for both the Visible and Near Infrared (VNIR) and Shortwave Infrared (SWIR) sensors. Each product delivery includes two Hierarchical Data Format - Earth Observing System (HDF-EOS) files: one for the VNIR, and the other for the SWIR. They are distinguished from one another by a one-second difference in the production time that appears as part of the file name. ASTER Level 2 data requests for observations that occurred after May 27, 2020 will resort back to using the climatology ozone input. Additional information can be found in the ASTER L2 Processing Options Update (https://lpdaac.usgs.gov/news/aster-l2-processing-options-update/). Starting June 23, 2021, radiometric calibration coefficient Version 5 (RCC V5) will be applied to newly observed ASTER data and archived ASTER data products. Details regarding RCC V5 are described in the following journal article. Tsuchida, S., Yamamoto, H., Kouyama, T., Obata, K., Sakuma, F., Tachikawa, T., Kamei, A., Arai, K., Czapla-Myers, J.S., Biggar, S.F., and Thome, K.J., 2020, Radiometric Degradation Curves for the ASTER VNIR Processing Using Vicarious and Lunar Calibrations: Remote Sensing, v. 12, no. 3, at https://doi.org/10.3390/rs12030427. As of December 15, 2021, the LP DAAC has implemented changes to ASTER PGE Version 3.4, which will affect all ASTER Level 2 on-demand products. Changes include: \u2022\tAura Ozone Monitoring Instrument (OMI) has been added as one of the ancillary ozone inputs for any observations made after May 27, 2020. The sequence of fallbacks for ozone will remain the same. \u2022\tToolkit has been updated from Version 5.2.17 to 5.2.20. Users may notice minor differences between the two versions. Differences may include minuscule changes in digital numbers around the peripheral of the granule and boundaries of a cloud for Surface Reflectance and Surface Radiance (AST07 and AST09) QA Data Plane depending on the Operating System and libraries being used by the user to process the data. Additionally, Climatology, which is one of the inputs for Ozone and Moisture, Temperature and Pressures (MTP) will be removed from the Earthdata Order Form. It has been observed that PGEs generated with Climatology as an input yield noticeable differences statistically during image and spectral analysis. Climatology will continue to be used as the final default if neither of the first two selectable options are available for Ozone and MTP. Users can check the OPERATIONALQUALITYFLAGEXPLANATION field in the metadata or the output file for atmospheric parameters that were applied ", - "license": "proprietary" - }, - { - "id": "AST_08_003", - "title": "ASTER L2 Surface Temperature V003", - "catalog": "LPDAAC_ECS STAC Catalog", - "state_date": "2000-03-04", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1299783630-LPDAAC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1299783630-LPDAAC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections/AST_08_003", - "description": "The ASTER Surface Kinetic Temperature (AST_08) is generated (https://lpdaac.usgs.gov/documents/996/ASTER_Earthdata_Search_Order_Instructions.pdf) using the five Thermal Infrared (TIR) bands (acquired either during the day or night time) between 8 and 12 \u00b5m spectral range. It contains surface temperatures at 90 m spatial resolution for the land areas only. Surface kinetic temperature provides a vital input to studies of volcanism, thermal inertia, surface energy, and high-resolution mapping of fires. This product is derived using the same algorithm as the ASTER Surface Emissivity (AST_05) (https://doi.org/10.5067/ASTER/AST_05.003) Product. Surface kinetic temperature is determined by applying Planck's Law using the emissivity values from the Temperature/Emissivity Separation (TES) algorithm, which uses atmospherically corrected ASTER surface radiance (TIR) data. The TES algorithm first estimates emissivity in the TIR channels using the Normalized Emissivity Method (NEM). These estimates are used along with Kirchoff's Law to account for the land-leaving TIR radiance that is due to sky irradiance. That figure is subtracted from TIR radiance iteratively to estimate the emitted radiance from which temperature is calculated using the NEM module. ASTER Level 2 data requests for observations that occurred after May 27, 2020 will resort back to using the climatology ozone input. Additional information can be found in the ASTER L2 Processing Options Update (https://lpdaac.usgs.gov/news/aster-l2-processing-options-update/). Starting June 23, 2021, radiometric calibration coefficient Version 5 (RCC V5) will be applied to newly observed ASTER data and archived ASTER data products. Details regarding RCC V5 are described in the following journal article. Tsuchida, S., Yamamoto, H., Kouyama, T., Obata, K., Sakuma, F., Tachikawa, T., Kamei, A., Arai, K., Czapla-Myers, J.S., Biggar, S.F., and Thome, K.J., 2020, Radiometric Degradation Curves for the ASTER VNIR Processing Using Vicarious and Lunar Calibrations: Remote Sensing, v. 12, no. 3, at https://doi.org/10.3390/rs12030427. As of December 15, 2021, the LP DAAC has implemented changes to ASTER PGE Version 3.4, which will affect all ASTER Level 2 on-demand products. Changes include: \u2022\tAura Ozone Monitoring Instrument (OMI) has been added as one of the ancillary ozone inputs for any observations made after May 27, 2020. The sequence of fallbacks for ozone will remain the same. \u2022\tToolkit has been updated from Version 5.2.17 to 5.2.20. Users may notice minor differences between the two versions. Differences may include minuscule changes in digital numbers around the peripheral of the granule and boundaries of a cloud for Surface Reflectance and Surface Radiance (AST07 and AST09) QA Data Plane depending on the Operating System and libraries being used by the user to process the data. Additionally, Climatology, which is one of the inputs for Ozone and Moisture, Temperature and Pressures (MTP) will be removed from the Earthdata Order Form. It has been observed that PGEs generated with Climatology as an input yield noticeable differences statistically during image and spectral analysis. Climatology will continue to be used as the final default if neither of the first two selectable options are available for Ozone and MTP. Users can check the OPERATIONALQUALITYFLAGEXPLANATION field in the metadata or the output file for atmospheric parameters that were applied. ", - "license": "proprietary" - }, - { - "id": "AST_09T_003", - "title": "ASTER L2 Surface Radiance TIR V003", - "catalog": "LPDAAC_ECS STAC Catalog", - "state_date": "2000-03-04", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1299783609-LPDAAC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1299783609-LPDAAC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections/AST_09T_003", - "description": "The ASTER Surface Radiance TIR (AST_09T) is generated (https://lpdaac.usgs.gov/documents/996/ASTER_Earthdata_Search_Order_Instructions.pdf) using the five Thermal Infrared (TIR) bands (acquired either during the day or night time) between 8 and 12 \u00b5m spectral range. It provides surface-leaving radiance for the TIR bands at a spatial resolution of 90 meters, which includes both surface-emitted and surface-reflected components. It also provides the downwelling sky irradiance values (in W/m2/\u00b5m) for each of the TIR bands. This product is atmospherically corrected, and the surface-leaving radiance is of known accuracy and valid only for clear-sky scenes (cloud-free pixels). This atmospherically corrected product provides the input for generating two other higher-level products: surface spectral emissivity and surface kinetic temperature. The algorithm to correct atmospheric effects involves two elements: 1) it uses a radiative transfer model which is capable of estimating the magnitude of atmospheric emission, absorption, and scattering. It uses the Moderate Resolution Transmittance Code (MODTRAN) radiative transfer model, which calculates atmospheric transmittance and radiance for frequencies from 0 to 50,000 cm\u02c9\u00b9 at moderate spectral resolution. 2) It identifies and incorporates all the necessary atmospheric parameters applicable to the location and time for which the measurements require correction. These include temperature, water vapor, elevation, ozone, and aerosols. ASTER Level 2 data requests for observations that occurred after May 27, 2020 will resort back to using the climatology ozone input. Additional information can be found in the ASTER L2 Processing Options Update (https://lpdaac.usgs.gov/news/aster-l2-processing-options-update/). Starting June 23, 2021, radiometric calibration coefficient Version 5 (RCC V5) will be applied to newly observed ASTER data and archived ASTER data products. Details regarding RCC V5 are described in the following journal article. Tsuchida, S., Yamamoto, H., Kouyama, T., Obata, K., Sakuma, F., Tachikawa, T., Kamei, A., Arai, K., Czapla-Myers, J.S., Biggar, S.F., and Thome, K.J., 2020, Radiometric Degradation Curves for the ASTER VNIR Processing Using Vicarious and Lunar Calibrations: Remote Sensing, v. 12, no. 3, at https://doi.org/10.3390/rs12030427. As of December 15, 2021, the LP DAAC has implemented changes to ASTER PGE Version 3.4, which will affect all ASTER Level 2 on-demand products. Changes include: \u2022\tAura Ozone Monitoring Instrument (OMI) has been added as one of the ancillary ozone inputs for any observations made after May 27, 2020. The sequence of fallbacks for ozone will remain the same. \u2022\tToolkit has been updated from Version 5.2.17 to 5.2.20. Users may notice minor differences between the two versions. Differences may include minuscule changes in digital numbers around the peripheral of the granule and boundaries of a cloud for Surface Reflectance and Surface Radiance (AST07 and AST09) QA Data Plane depending on the Operating System and libraries being used by the user to process the data. Additionally, Climatology, which is one of the inputs for Ozone and Moisture, Temperature and Pressures (MTP) will be removed from the Earthdata Order Form. It has been observed that PGEs generated with Climatology as an input yield noticeable differences statistically during image and spectral analysis. Climatology will continue to be used as the final default if neither of the first two selectable options are available for Ozone and MTP. Users can check the OPERATIONALQUALITYFLAGEXPLANATION field in the metadata or the output file for atmospheric parameters that were applied. ", - "license": "proprietary" - }, - { - "id": "AST_09XT_003", - "title": "ASTER L2 Surface Radiance - VNIR and Crosstalk Corrected SWIR V003", - "catalog": "LPDAAC_ECS STAC Catalog", - "state_date": "2000-03-06", - "end_date": "", - "bbox": "-180, -83, 180, 83", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1299783631-LPDAAC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1299783631-LPDAAC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections/AST_09XT_003", - "description": "The ASTER Surface Radiance VNIR and Crosstalk Corrected SWIR (AST_09XT) is a multi-file product (https://lpdaac.usgs.gov/documents/996/ASTER_Earthdata_Search_Order_Instructions.pdf) that contains atmospherically corrected data for both the Visible and Near Infrared (VNIR) and Shortwave Infrared (SWIR) sensors. The crosstalk phenomenon was discovered during the nascent stage of the Terra Mission. It is whereby the incident light with band 4 caused multiple reflections for the SWIR bands, which resulted in blurred images. This has been corrected with the ASTER L2 Surface Radiance VNIR and Crosstalk Corrected SWIR data product. Each product delivery includes two Hierarchical Data Format - Earth Observing System (HDF-EOS) files: one for the VNIR, and the other for the SWIR. Both the VNIR and the SWIR data are atmospherically corrected using the corresponding bands from an (ASTER Level 1B) (https://doi.org/10.5067/ASTER/AST_L1B.003) image. ASTER Level 2 data requests for observations that occurred after May 27, 2020 will resort back to using the climatology ozone input. Additional information can be found in the ASTER L2 Processing Options Update (https://lpdaac.usgs.gov/news/aster-l2-processing-options-update/). Starting June 23, 2021, radiometric calibration coefficient Version 5 (RCC V5) will be applied to newly observed ASTER data and archived ASTER data products. Details regarding RCC V5 are described in the following journal article. Tsuchida, S., Yamamoto, H., Kouyama, T., Obata, K., Sakuma, F., Tachikawa, T., Kamei, A., Arai, K., Czapla-Myers, J.S., Biggar, S.F., and Thome, K.J., 2020, Radiometric Degradation Curves for the ASTER VNIR Processing Using Vicarious and Lunar Calibrations: Remote Sensing, v. 12, no. 3, at https://doi.org/10.3390/rs12030427. As of December 15, 2021, the LP DAAC has implemented changes to ASTER PGE Version 3.4, which will affect all ASTER Level 2 on-demand products. Changes include: \u2022\tAura Ozone Monitoring Instrument (OMI) has been added as one of the ancillary ozone inputs for any observations made after May 27, 2020. The sequence of fallbacks for ozone will remain the same. \u2022\tToolkit has been updated from Version 5.2.17 to 5.2.20. Users may notice minor differences between the two versions. Differences may include minuscule changes in digital numbers around the peripheral of the granule and boundaries of a cloud for Surface Reflectance and Surface Radiance (AST07 and AST09) QA Data Plane depending on the Operating System and libraries being used by the user to process the data. Additionally, Climatology, which is one of the inputs for Ozone and Moisture, Temperature and Pressures (MTP) will be removed from the Earthdata Order Form. It has been observed that PGEs generated with Climatology as an input yield noticeable differences statistically during image and spectral analysis. Climatology will continue to be used as the final default if neither of the first two selectable options are available for Ozone and MTP. Users can check the OPERATIONALQUALITYFLAGEXPLANATION field in the metadata or the output file for atmospheric parameters that were applied. ", - "license": "proprietary" - }, - { - "id": "AST_09_003", - "title": "ASTER L2 Surface Radiance VNIR and SWIR V003", - "catalog": "LPDAAC_ECS STAC Catalog", - "state_date": "2000-03-06", - "end_date": "", - "bbox": "-180, -83, 180, 83", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1299783574-LPDAAC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1299783574-LPDAAC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections/AST_09_003", - "description": "The ASTER Surface Radiance VNIR and SWIR (AST_09) is a multi-file product (https://lpdaac.usgs.gov/documents/996/ASTER_Earthdata_Search_Order_Instructions.pdf) that contains atmospherically corrected data for both the Visible and Near Infrared (VNIR) and Shortwave Infrared (SWIR) sensors. Each product delivery includes two Hierarchical Data Format - Earth Observing System (HDF-EOS) files: one for the VNIR, and the other for the SWIR. They are distinguished from one another by a one-second difference in the production time that appears as part of the file name. The more obvious distinguishing feature is the file size; the VNIR file is always the larger of the two. Both the VNIR and SWIR data are atmospherically corrected and are generated using the bands of the corresponding (ASTER Level 1B) (https://doi.org/10.5067/ASTER/AST_L1B.003) image. ASTER Level 2 data requests for observations that occurred after May 27, 2020 will resort back to using the climatology ozone input. Additional information can be found in the ASTER L2 Processing Options Update (https://lpdaac.usgs.gov/news/aster-l2-processing-options-update/). Starting June 23, 2021, radiometric calibration coefficient Version 5 (RCC V5) will be applied to newly observed ASTER data and archived ASTER data products. Details regarding RCC V5 are described in the following journal article. Tsuchida, S., Yamamoto, H., Kouyama, T., Obata, K., Sakuma, F., Tachikawa, T., Kamei, A., Arai, K., Czapla-Myers, J.S., Biggar, S.F., and Thome, K.J., 2020, Radiometric Degradation Curves for the ASTER VNIR Processing Using Vicarious and Lunar Calibrations: Remote Sensing, v. 12, no. 3, at https://doi.org/10.3390/rs12030427. As of December 15, 2021, the LP DAAC has implemented changes to ASTER PGE Version 3.4, which will affect all ASTER Level 2 on-demand products. Changes include: \u2022\tAura Ozone Monitoring Instrument (OMI) has been added as one of the ancillary ozone inputs for any observations made after May 27, 2020. The sequence of fallbacks for ozone will remain the same. \u2022\tToolkit has been updated from Version 5.2.17 to 5.2.20. Users may notice minor differences between the two versions. Differences may include minuscule changes in digital numbers around the peripheral of the granule and boundaries of a cloud for Surface Reflectance and Surface Radiance (AST07 and AST09) QA Data Plane depending on the Operating System and libraries being used by the user to process the data. Additionally, Climatology, which is one of the inputs for Ozone and Moisture, Temperature and Pressures (MTP) will be removed from the Earthdata Order Form. It has been observed that PGEs generated with Climatology as an input yield noticeable differences statistically during image and spectral analysis. Climatology will continue to be used as the final default if neither of the first two selectable options are available for Ozone and MTP. Users can check the OPERATIONALQUALITYFLAGEXPLANATION field in the metadata or the output file for atmospheric parameters that were applied. ", - "license": "proprietary" - }, - { - "id": "AST_L1AE_003", - "title": "ASTER Expedited L1A Reconstructed Unprocessed Instrument Data V003", - "catalog": "LPDAAC_ECS STAC Catalog", - "state_date": "2000-03-04", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179460405-LPDAAC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179460405-LPDAAC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections/AST_L1AE_003", - "description": "The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Expedited Level 1A Reconstructed Unprocessed Instrument Data (AST_L1AE) global product contains reconstructed, unprocessed instrument digital data derived from the acquired telemetry streams of the telescopes: Visible and Near Infrared (VNIR), Shortwave Infrared (SWIR), and Thermal Infrared (TIR). This data product is similar to the (AST_L1A) (http://doi.org/10.5067/ASTER/AST_L1A.003) with a few notable exceptions. These include: * The AST_L1AE is available for download within 48 hours of acquisition in support of field calibration and validation efforts, in addition to emergency response for natural disasters where the quick turn-around time from acquisition to availability would prove beneficial in initial damage or impact assessments. * The registration quality of the AST_L1AE is likely to be lower than the AST_L1A, and may vary from scene to scene. * The AST_L1AE data product does not contain the VNIR 3B (aft-viewing) Band. * This dataset does not have short-term calibration for the Thermal Infrared (TIR) sensor. * The AST_L1AE data product is only available for download 30 days after acquisition. It is then removed and reprocessed into an AST_L1A product.", - "license": "proprietary" - }, - { - "id": "AST_L1A_003", - "title": "ASTER L1A Reconstructed Unprocessed Instrument Data V003", - "catalog": "LPDAAC_ECS STAC Catalog", - "state_date": "2000-03-04", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C14758250-LPDAAC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C14758250-LPDAAC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections/AST_L1A_003", - "description": "The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Level 1A (AST_L1A) contains reconstructed, instrument digital numbers (DNs) derived from the acquired telemetry streams of the telescopes: Visible and Near Infrared (VNIR), Shortwave Infrared (SWIR), and Thermal Infrared (TIR). Additionally, geometric correction coefficients and radiometric calibration coefficients are calculated and appended to the metadata, but not applied. The spatial resolution is 15 m (VNIR), 30 m (SWIR), and 90 m (TIR) with a temporal coverage of 2000 to present. Starting June 23, 2021, radiometric calibration coefficient Version 5 (RCC V5) will be applied to newly observed ASTER data and archived ASTER data products. Details regarding RCC V5 are described in the following journal article. Tsuchida, S., Yamamoto, H., Kouyama, T., Obata, K., Sakuma, F., Tachikawa, T., Kamei, A., Arai, K., Czapla-Myers, J.S., Biggar, S.F., and Thome, K.J., 2020, Radiometric Degradation Curves for the ASTER VNIR Processing Using Vicarious and Lunar Calibrations: Remote Sensing, v. 12, no. 3, at https://doi.org/10.3390/rs12030427. ", - "license": "proprietary" - }, - { - "id": "AST_L1BE_003", - "title": "ASTER Expedited L1B Registered Radiance at the Sensor V003", - "catalog": "LPDAAC_ECS STAC Catalog", - "state_date": "2000-03-04", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179460406-LPDAAC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179460406-LPDAAC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections/AST_L1BE_003", - "description": "The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Expedited Level 1B Registered Radiance at the Sensor global data product is radiometrically calibrated and geometrically co-registered. Application of intra-telescope and inter-telescope registration corrections for all bands are relative to the reference band for each telescope: Visible and Near Infrared (VNIR) Band 2, Shortwave Infrared (SWIR) Band 6, and Thermal Infrared (TIR) Band 11. The Expedited Level 1B data product is similar to the (AST_L1B) (https://doi.org/10.5067/ASTER/AST_L1B.003) with a few notable exceptions. These include: * The AST_L1BE is available for download within 48 hours of acquisition in support of field calibration and validation efforts, in addition to emergency response for natural disasters where the quick turn-around time from acquisition to availability would prove beneficial in initial damage or impact assessments. * The registration quality of the AST_L1BE is likely to be lower than the AST_L1B, and may vary from scene to scene. * The AST_L1BE dataset does not contain the VNIR 3B (aft-viewing) Band. * This dataset does not have short-term calibration for the Thermal Infrared (TIR) sensor.", - "license": "proprietary" - }, - { - "id": "AST_L1B_003", - "title": "ASTER L1B Registered Radiance at the Sensor V003", - "catalog": "LPDAAC_ECS STAC Catalog", - "state_date": "2000-03-04", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C190733714-LPDAAC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C190733714-LPDAAC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections/AST_L1B_003", - "description": "The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Level-1B (AST_L1B) Registered Radiance at the Sensor data product is radiometrically calibrated and geometrically co-registered. Application of intra-telescope and inter-telescope registration corrections for all bands are relative to the reference band for each telescope: Visible and Near Infrared (VNIR) Band 2, Shortwave Infrared (SWIR) Band 6, and Thermal Infrared (TIR) Band 11. The spatial resolution is 15 m (VNIR), 30 m (SWIR), and 90 m (TIR) with a temporal coverage of 2000 to present. Starting June 23, 2021, radiometric calibration coefficient Version 5 (RCC V5) will be applied to newly observed ASTER data and archived ASTER data products. Details regarding RCC V5 are described in the following journal article. Tsuchida, S., Yamamoto, H., Kouyama, T., Obata, K., Sakuma, F., Tachikawa, T., Kamei, A., Arai, K., Czapla-Myers, J.S., Biggar, S.F., and Thome, K.J., 2020, Radiometric Degradation Curves for the ASTER VNIR Processing Using Vicarious and Lunar Calibrations: Remote Sensing, v. 12, no. 3, at https://doi.org/10.3390/rs12030427. ", - "license": "proprietary" - }, - { - "id": "AST_L1T_003", - "title": "ASTER Level 1 precision terrain corrected registered at-sensor radiance V003", - "catalog": "LPDAAC_ECS STAC Catalog", - "state_date": "2000-03-04", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000320-LPDAAC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000320-LPDAAC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections/AST_L1T_003", - "description": "The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Level 1 Precision Terrain Corrected Registered At-Sensor Radiance (AST_L1T) data contains calibrated at-sensor radiance, which corresponds with the ASTER Level 1B (AST_L1B) (https://doi.org/10.5067/ASTER/AST_L1B.003), that has been geometrically corrected, and rotated to a north-up UTM projection. The AST_L1T is created from a single resampling of the corresponding ASTER L1A (AST_L1A) (https://doi.org/10.5067/ASTER/AST_L1A.003) product. The bands available in the AST_L1T depend on the bands in the AST_L1A and can include up to three Visible and Near Infrared (VNIR) bands, six Shortwave Infrared (SWIR) bands, and five Thermal Infrared (TIR) bands. The AST_L1T dataset does not include the aft-looking VNIR band 3. The precision terrain correction process incorporates GLS2000 digital elevation data with derived ground control points (GCPs) to achieve topographic accuracy for all daytime scenes where correlation statistics reach a minimum threshold. Alternate levels of correction are possible (systematic terrain, systematic, or precision) for scenes acquired at night or that otherwise represent a reduced quality ground image (e.g., cloud cover). For daytime images, if the VNIR or SWIR telescope collected data and precision correction was attempted, each precision terrain corrected image will have an accompanying independent quality assessment. It will include the geometric correction available for distribution in both as a text file and a single band browse images with the valid GCPs overlaid. This multi-file product also includes georeferenced full resolution browse images. The number of browse images and the band combinations of the images depends on the bands available in the corresponding (AST_L1A) (https://doi.org/10.5067/ASTER/AST_L1A.003) dataset. ", - "license": "proprietary" - }, - { - "id": "AST_L1T_031", - "title": "ASTER Level 1 Precision Terrain Corrected Registered At-Sensor Radiance V031", - "catalog": "LPDAAC_ECS STAC Catalog", - "state_date": "2000-03-04", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2052604735-LPDAAC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2052604735-LPDAAC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections/AST_L1T_031", - "description": "The Terra Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Level 1 Precision Terrain Corrected Registered At-Sensor Radiance (AST_L1T) Version 3.1 data contains calibrated at-sensor radiance, which corresponds with the ASTER Level 1B AST_L1B (https://doi.org/10.5067/ASTER/AST_L1B.003), that has been geometrically corrected and rotated to a north-up UTM projection. The AST_L1T V3.1 is created from a single resampling of the corresponding ASTER L1A AST_L1A (https://doi.org/10.5067/ASTER/AST_L1A.003) product. Radiometric calibration coefficients Version 5 (RCC V5) are applied to this product to improve the degradation curve derived from vicarious and lunar calibrations. The bands available in the AST_L1T V3.1 depend on the bands in the AST_L1A and can include up to three Visible and Near Infrared (VNIR) bands, six Shortwave Infrared (SWIR) bands, and five Thermal Infrared (TIR) bands. The AST_L1T V3.1 dataset does not include the aft-looking VNIR band 3. The 3.1 version uses a precision terrain correction process that incorporates GLS2000 digital elevation data with derived ground control points (GCPs) to achieve topographic accuracy for all daytime scenes where correlation statistics reach a minimum threshold. Alternate levels of correction are possible (systematic terrain, systematic, or precision) for scenes acquired at night or that otherwise represent a reduced quality ground image (e.g., cloud cover). For daytime images, if the VNIR or SWIR telescope collected data and precision correction was attempted, each precision terrain corrected image will have an accompanying independent quality assessment. It will include the geometric correction available for distribution in both a text file and a single band browse image with the valid GCPs overlaid. This multi-file product also includes georeferenced full resolution browse images. The number of browse images and the band combinations of the images depend on the bands available in the corresponding AST_L1A dataset. The AST_L1T V3.1 data product is only available through NASA\u2019s Earthdata Search. The ASTER L1T V3.1 Order Instructions provide step-by-step directions for ordering this product. ", - "license": "proprietary" - }, - { - "id": "ATL02_005", - "title": "ATLAS/ICESat-2 L1B Converted Telemetry Data V005", - "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/C2153572246-NSIDC_CPRD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153572246-NSIDC_CPRD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL02_005", - "description": "This data set (ATL02) contains science unit-converted, time-ordered telemetry data, calibrated for instrument effects, downlinked from the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. The data are used by the ATLAS/ICESat-2 Science Investigator-led Processing System (SIPS) for system\u2013level, quality control analysis and as source data for ATLAS/ICESat-2 Level-2 products and the Precision Orbit Determination (POD) and Precision Pointing Determination (PPD) computations.", - "license": "proprietary" - }, - { - "id": "ATL02_006", - "title": "ATLAS/ICESat-2 L1B Converted Telemetry Data V006", - "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/C2547589158-NSIDC_CPRD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2547589158-NSIDC_CPRD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL02_006", - "description": "This data set (ATL02) contains science-unit-converted time-ordered telemetry data, calibrated for instrument effects, downlinked from the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. The data are used by the ATLAS/ICESat-2 Science Investigator-led Processing System (SIPS) for system-level, quality control analysis and as source data for ATLAS/ICESat-2 Level-2 products and Precision Orbit Determination (POD) and Precision Pointing Determination (PPD) computations.", - "license": "proprietary" - }, - { - "id": "ATL03_005", - "title": "ATLAS/ICESat-2 L2A Global Geolocated Photon Data V005", - "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/C2153572325-NSIDC_CPRD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153572325-NSIDC_CPRD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL03_005", - "description": "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.", - "license": "proprietary" - }, - { - "id": "ATL03_006", - "title": "ATLAS/ICESat-2 L2A Global Geolocated Photon Data V006", - "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/C2596864127-NSIDC_CPRD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2596864127-NSIDC_CPRD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL03_006", - "description": "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.", - "license": "proprietary" - }, - { - "id": "ATL04_005", - "title": "ATLAS/ICESat-2 L2A Normalized Relative Backscatter Profiles V005", - "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/C2153572406-NSIDC_CPRD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153572406-NSIDC_CPRD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL04_005", - "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_CPRD 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", - "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_005", - "title": "ATLAS/ICESat-2 L3A Land Ice Height V005", - "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/C2153572614-NSIDC_CPRD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153572614-NSIDC_CPRD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL06_005", - "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_CPRD 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", - "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": "ATL07_005", - "title": "ATLAS/ICESat-2 L3A Sea Ice Height V005", - "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/C2153574585-NSIDC_CPRD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153574585-NSIDC_CPRD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL07_005", - "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", - "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", - "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": "ATL08_005", - "title": "ATLAS/ICESat-2 L3A Land and Vegetation Height V005", - "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/C2153574670-NSIDC_CPRD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153574670-NSIDC_CPRD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL08_005", - "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_CPRD 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", - "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": "ATL09_005", - "title": "ATLAS/ICESat-2 L3A Calibrated Backscatter Profiles and Atmospheric Layer Characteristics V005", - "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/C2153574732-NSIDC_CPRD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153574732-NSIDC_CPRD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL09_005", - "description": "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.", - "license": "proprietary" - }, - { - "id": "ATL09_006", - "title": "ATLAS/ICESat-2 L3A Calibrated Backscatter Profiles and Atmospheric Layer Characteristics V006", - "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/C2649212495-NSIDC_CPRD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2649212495-NSIDC_CPRD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL09_006", - "description": "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.", - "license": "proprietary" - }, - { - "id": "ATL10_005", - "title": "ATLAS/ICESat-2 L3A Sea Ice Freeboard V005", - "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/C2153574813-NSIDC_CPRD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153574813-NSIDC_CPRD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL10_005", - "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", - "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", - "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": "ATL12_005", - "title": "ATLAS/ICESat-2 L3A Ocean Surface Height V005", - "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/C2153574991-NSIDC_CPRD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153574991-NSIDC_CPRD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL12_005", - "description": "This data set (ATL12) contains along-track sea surface heights at variable length scales over cloud-free regions. Estimates of height distributions, surface roughness, surface slope, 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": "ATL12_006", - "title": "ATLAS/ICESat-2 L3A Ocean Surface Height V006", - "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/C2613553216-NSIDC_CPRD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553216-NSIDC_CPRD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL12_006", - "description": "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.", - "license": "proprietary" - }, - { - "id": "ATL13_005", - "title": "ATLAS/ICESat-2 L3A Along Track Inland Surface Water Data V005", - "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/C2153575088-NSIDC_CPRD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153575088-NSIDC_CPRD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL13_005", - "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_CPRD 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", - "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": "ATSMIB2E_003", - "title": "MISR L1B2 Ellipsoid Product subset for the ARCTAS region V003", - "catalog": "LARC STAC Catalog", - "state_date": "2008-04-02", - "end_date": "2008-07-24", - "bbox": "-157, 54, -110, 71", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000561-LARC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000561-LARC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections/ATSMIB2E_003", - "description": "This file contains Ellipsoid-projected TOA Radiance subset for the ARCTAS region,resampled at the surface and topographically corrected, as well as geometrically corrected by PGE22", - "license": "proprietary" - }, - { - "id": "ATSMIB2T_003", - "title": "MISR L1B2 Terrain Product subset for the ARCTAS region V003", - "catalog": "LARC STAC Catalog", - "state_date": "2008-04-02", - "end_date": "2008-07-24", - "bbox": "-157, 54, -110, 71", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000562-LARC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000562-LARC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections/ATSMIB2T_003", - "description": "This file contains Terrain-projected TOA Radiance subset for the ARCTAS region,resampled at the surface and topographically corrected, as well as geometrically corrected by PGE22", - "license": "proprietary" - }, - { - "id": "ATSMIGEO_002", - "title": "MISR Geometric Parameters subset for the ARCTAS region V002", - "catalog": "LARC STAC Catalog", - "state_date": "2008-04-02", - "end_date": "2008-07-24", - "bbox": "-157, 54, -110, 71", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000541-LARC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000541-LARC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections/ATSMIGEO_002", - "description": "This file contains the Geometric Parameters subset for the ARCTAS region which measures the sun and view angles at the reference ellipsoid", - "license": "proprietary" - }, - { - "id": "AU_5DSno_1", - "title": "AMSR-E/AMSR2 Unified L3 Global 5-Day 25 km EASE-Grid Snow Water Equivalent V001", - "catalog": "NSIDC_ECS STAC Catalog", - "state_date": "2012-07-02", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1587882982-NSIDC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1587882982-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/AU_5DSno_1", - "description": "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.", - "license": "proprietary" - }, - { - "id": "AU_DySno_1", - "title": "AMSR-E/AMSR2 Unified L3 Global Daily 25 km EASE-Grid Snow Water Equivalent V001", - "catalog": "NSIDC_ECS STAC Catalog", - "state_date": "2012-07-02", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1601063219-NSIDC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1601063219-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/AU_DySno_1", - "description": "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.", - "license": "proprietary" - }, - { - "id": "AU_DySno_NRT_R02_2", - "title": "NRT AMSR2 Unified L3 Global Daily 25 km EASE-Grid Snow Water Equivalent V2", - "catalog": "LANCEAMSR2 STAC Catalog", - "state_date": "2021-04-15", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2052622563-LANCEAMSR2.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2052622563-LANCEAMSR2.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LANCEAMSR2/collections/AU_DySno_NRT_R02_2", - "description": "The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles. Near real-time (NRT) products are generated within 3 hours of the last observations in the file, by the Land Atmosphere Near real-time Capability for EOS (LANCE) at the AMSR Science Investigator-led Processing System (AMSR SIPS), which is collocated with the Global Hydrology Resource Center (GHRC) DAAC. The NRT AMSR2 Unified L3 Global Daily Snow Water Equivalent data set contains snow water equivalent (SWE) data and quality assurance flags mapped to Northern and Southern Hemisphere 25 km Equal-Area Scalable Earth Grids (EASE-Grids). Data are stored in HDF-EOS5 format and are available via HTTP from the EOSDIS LANCE system at https://lance.nsstc.nasa.gov/amsr2-science/data/level3/daysnow/. If data latency is not a primary concern, please consider using science quality products. Science products are created using the best available ancillary, calibration and ephemeris information. Science quality products are an internally consistent, well-calibrated record of the Earth's geophysical properties to support science.", - "license": "proprietary" - }, - { - "id": "AU_Land_1", - "title": "AMSR-E/AMSR2 Unified L2B Half-Orbit 25 km EASE-Grid Surface Soil Moisture V001", - "catalog": "NSIDC_ECS STAC Catalog", - "state_date": "2012-07-02", - "end_date": "", - "bbox": "-180, -89.24, 180, 89.24", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1343001245-NSIDC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1343001245-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/AU_Land_1", - "description": "The AMSR-E/AMSR2 Unified Level-2B land product provides a long-term data record by combining AMSR-E and AMSR2 data. This data set includes surface soil moisture estimates derived from L1R brightness temperatures using the Normalized Polarization Difference algorithm (NPD) and the Single Channel Algorithm (SCA) along with ancillary information gridded to the 25 km Equal-Area Scalable Earth Grid (EASE-Grid).", - "license": "proprietary" - }, - { - "id": "AU_Land_NRT_R02_2", - "title": "NRT AMSR2 Unified L2B Half-Orbit 25 km EASE-Grid Surface Soil Moisture Beta V2", - "catalog": "LANCEAMSR2 STAC Catalog", - "state_date": "2018-04-11", - "end_date": "", - "bbox": "-180, -89.24, 180, 89.24", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1514684539-LANCEAMSR2.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1514684539-LANCEAMSR2.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LANCEAMSR2/collections/AU_Land_NRT_R02_2", - "description": "The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles. Near real-time (NRT) products are generated within 3 hours of the last observations in the file, by the Land Atmosphere Near real-time Capability for EOS (LANCE) at the AMSR Science Investigator-led Processing System (AMSR SIPS), which is collocated with the Global Hydrology Resource Center (GHRC) DAAC. The GCOM-W1 NRT AMSR2 Unified L2B Half-Orbit 25 km EASE-Grid Surface Soil Moisture product is a daily measurement of surface soil moisture produced by two retrieval algorithms using resampled Tb (Level-1R) data provided by JAXA: the Normalized Polarization Difference (NPD) algorithm developed by JPL and the Single Channel Algorithm (SCA) developed by USDA. Ancillary data include time, geolocation, and quality assessment. Data are stored in HDF-EOS5 and netCDF4 formats and are available via HTTPS from the EOSDIS LANCE system at https://lance.nsstc.nasa.gov/amsr2-science/data/level2/land/. If data latency is not a primary concern, please consider using science quality products. Science products are created using the best available ancillary, calibration and ephemeris information. Science quality products are an internally consistent, well-calibrated record of the Earth's geophysical properties to support science. The AMSR SIPS produces AMSR2 standard science quality data products and they are available at the NSIDC DAAC. Note: This is the same algorithm that generates the corresponding standard science products in the AMSR SIPS. With this beta release, we are generating NRT products in both HDF-EOS5 and netCDF with CF metadata. Version 2 corrects these issues from the previous release: a boundary condition error that resulted in the failure of a small number of version 1 product files and an error in the number of low resolution scans processed which caused only the first half of each scan to be processed.", - "license": "proprietary" - }, - { - "id": "AU_MoSno_1", - "title": "AMSR-E/AMSR2 Unified L3 Global Monthly 25 km EASE-Grid Snow Water Equivalent V001", - "catalog": "NSIDC_ECS STAC Catalog", - "state_date": "2012-07-02", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1587883062-NSIDC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1587883062-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/AU_MoSno_1", - "description": "This AMSR-E/AMSR2 Unified Level-3 (L3) data set provides monthly mean 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.", - "license": "proprietary" - }, - { - "id": "AU_Ocean_1", - "title": "AMSR-E/AMSR2 Unified L2B Global Swath Ocean Products V001", - "catalog": "NSIDC_ECS STAC Catalog", - "state_date": "2002-06-01", - "end_date": "", - "bbox": "-180, -89.24, 180, 89.24", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2176472016-NSIDC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2176472016-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/AU_Ocean_1", - "description": "This AMSR Unified global ocean data set reports integrated water vapor and cloud liquid water content in the atmospheric column, plus 10-meter sea surface wind speeds. The data are derived from AMSR-E and AMSR2 brightness temperature observations that have been resampled by the Japan Aerospace Exploration Agency (JAXA) to facilitate an intercalibrated (i.e., \u201cunified\u201d) AMSR-E/AMSR2 data record. Ancillary files, including product history, quality assessment (QA), and file-specific metadata are also available.", - "license": "proprietary" - }, - { - "id": "AU_Ocean_NRT_R01_1", - "title": "NRT AMSR2 Unified L2B Global Swath Ocean Products V1", - "catalog": "LANCEAMSR2 STAC Catalog", - "state_date": "2020-06-01", - "end_date": "", - "bbox": "-180, -89, 180, 89", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1841273046-LANCEAMSR2.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1841273046-LANCEAMSR2.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LANCEAMSR2/collections/AU_Ocean_NRT_R01_1", - "description": "The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles. Near real-time (NRT) products are generated within 3 hours of the last observations in the file, by the Land Atmosphere Near real-time Capability for EOS (LANCE) at the AMSR Science Investigator-led Processing System (AMSR SIPS), which is collocated with the Global Hydrology Resource Center (GHRC) DAAC. The GCOM-W1 NRT AMSR2 Unified L2B Global Swath Ocean Products is a swath product containing global sea surface temperature over ocean, wind speed over ocean, water vapor over ocean and cloud liquid water over ocean, using resampled NRT Level-1R data provided by JAXA. This is the same algorithm that generates the corresponding standard science products in the AMSR SIPS. The NRT products are generated in HDF-EOS-5 augmented with netCDF-4/CF metadata and are available via HTTPS from the EOSDIS LANCE system at https://lance.nsstc.nasa.gov/amsr2-science/data/level2/ocean/. If data latency is not a primary concern, please consider using science quality products. Science products are created using the best available ancillary, calibration and ephemeris information. Science quality products are an internally consistent, well-calibrated record of the Earth's geophysical properties to support science. The AMSR SIPS produces AMSR2 standard science quality data products, and they are available at the NSIDC DAAC.", - "license": "proprietary" - }, - { - "id": "AU_Rain_1", - "title": "AMSR-E/AMSR2 Unified L2B Global Swath Surface Precipitation V001", - "catalog": "NSIDC_ECS STAC Catalog", - "state_date": "2002-06-01", - "end_date": "", - "bbox": "-180, -89.24, 180, 89.24", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1708620364-NSIDC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1708620364-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/AU_Rain_1", - "description": "This AMSR-E/AMSR2 Unified Level-2B data set reports instantaneous surface precipitation rates and types (over land and ocean) and precipitation profiles (over ocean). The data are derived by applying the AMSR-E/AMSR2 unified algorithm to L1R data obtained by the Advanced Microwave Scanning Radiometer (AMSR) for EOS (AMSR-E) and AMSR2 instruments.", - "license": "proprietary" - }, - { - "id": "AU_Rain_NRT_R02_2", - "title": "NRT AMSR2 Unified Global Swath Surface Precipitation GSFC Profiling Algorithm V2", - "catalog": "LANCEAMSR2 STAC Catalog", - "state_date": "2021-10-01", - "end_date": "", - "bbox": "-180, -89, 180, 89", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2152626500-LANCEAMSR2.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2152626500-LANCEAMSR2.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LANCEAMSR2/collections/AU_Rain_NRT_R02_2", - "description": "The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles. Near real-time (NRT) products are generated within 3 hours of the last observations in the file, by the Land Atmosphere Near real-time Capability for EOS (LANCE) at the AMSR Science Investigator-led Processing System (AMSR SIPS), which is collocated with the Global Hydrology Resource Center (GHRC) DAAC. The GCOM-W1 NRT AMSR2 Unified Global Swath Surface Precipitation GSFC Profiling Algorithm is a swath product containing global rain rate and type, calculated by the GPROF 2017 V2R rainfall retrieval algorithm using resampled NRT Level-1R data provided by JAXA. This is the same algorithm that generates the corresponding standard science products in the AMSR SIPS. The NRT products are generated in HDF-EOS-5 augmented with netCDF-4/CF metadata and are available via HTTPS from the EOSDIS LANCE system at https://lance.nsstc.nasa.gov/amsr2-science/data/level2/rain/. If data latency is not a primary concern, please consider using science quality products. Science products are created using the best available ancillary, calibration and ephemeris information. Science quality products are an internally consistent, well-calibrated record of the Earth's geophysical properties to support science. The AMSR SIPS produces AMSR2 standard science quality data products, and they are available at the NSIDC DAAC.", - "license": "proprietary" - }, - { - "id": "AU_SI12_1", - "title": "AMSR-E/AMSR2 Unified L3 Daily 12.5 km Brightness Temperatures, Sea Ice Concentration, Motion & Snow Depth Polar Grids V001", - "catalog": "NSIDC_ECS STAC Catalog", - "state_date": "2012-07-02", - "end_date": "", - "bbox": "-180, -89.24, 180, 89.24", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1542606326-NSIDC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1542606326-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/AU_SI12_1", - "description": "The AMSR-E/AMSR2 Unified Level-3 12.5 km product provides brightness temperatures, sea ice concentration, and snow depth over sea ice for the Northern and Southern Hemisphere, as well as sea ice motion for the Arctic. This data set includes daily brightness temperature fields for channels ranging from 18.7 GHz through 89.0 GHz, daily sea ice concentration fields, and daily sea ice concentration difference fields for ascending orbits, descending orbits, and full orbit daily averages. Snow depth over sea ice is provided as a five-day running average for the Arctic and Antarctic. Sea Ice motion is provided daily for tracking ice movement over consecutive days in the Arctic. Note: This product uses the Japan Aerospace Exploration Agency (JAXA) AMSR2 Level-1R input brightness temperatures that are calibrated, or unified, across the JAXA AMSR-E and JAXA AMSR2 Level-1R products.", - "license": "proprietary" - }, - { - "id": "AU_SI12_NRT_R04_4", - "title": "NRT AMSR2 Unified L3 Daily 12.5 km Brightness Temperature & Sea Ice Concentration V4", - "catalog": "LANCEAMSR2 STAC Catalog", - "state_date": "2020-06-29", - "end_date": "", - "bbox": "-180, -89, 180, 89", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1886605827-LANCEAMSR2.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1886605827-LANCEAMSR2.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LANCEAMSR2/collections/AU_SI12_NRT_R04_4", - "description": "The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles. Near real-time (NRT) products are generated within 3 hours of the last observations in the file, by the Land Atmosphere Near real-time Capability for EOS (LANCE) at the AMSR Science Investigator-led Processing System (AMSR SIPS), which is collocated with the Global Hydrology Resource Center (GHRC) DAAC. The NRT AMSR2 Unified L3 Daily 12.5 km Brightness Temperature & Sea Ice Concentration, Version 4 uses as input the resampled brightness temperature (Level-1R) data provided by the Japanese Aerospace Exploration Agency (JAXA). The Version 4 dataset uses the AMSR-U2 product generation algorithm with slight modifications for NRT product generation, same algorithm used to generation the standard, science quality, data that is available at the NSIDC DAAC. This Level-3 gridded product includes brightness temperatures at 89.0 GHz. Data are mapped to a polar stereographic grid at 12.5 km spatial resolution. Sea ice concentration and brightness temperatures include daily ascending averages, daily descending averages, and daily averages. Data are stored in HDF-EOS5 format and are available via HTTP from the EOSDIS LANCE system at https://lance.nsstc.nasa.gov/amsr2-science/data/level3/seaice12. If data latency is not a primary concern, please consider using science quality products. Science products are created using the best available ancillary, calibration and ephemeris information. Science quality products are an internally consistent, well-calibrated record of the Earth's geophysical properties to support science. These standard product, science quality, are available at the NSIDC DAAC: https://nsidc.org/", - "license": "proprietary" - }, - { - "id": "AU_SI25_1", - "title": "AMSR-E/AMSR2 Unified L3 Daily 25 km Brightness Temperatures & Sea Ice Concentration Polar Grids V001", - "catalog": "NSIDC_ECS STAC Catalog", - "state_date": "2012-07-02", - "end_date": "", - "bbox": "-180, -89.24, 180, 89.24", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1542606320-NSIDC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1542606320-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/AU_SI25_1", - "description": "The AMSR-E/AMSR2 Unified Level-3 25 km product provides sea ice concentration derived from brightness temperatures using the NASA Team 2 (NT2) algorithm for the Northern and Southern Hemisphere. This data set includes six daily brightness temperature fields for channels ranging from 6.9 through 89.0 GHz, three daily sea ice concentration fields, and three daily sea ice concentration difference fields for ascending orbits, descending orbits, and full orbit daily averages. The sea ice concentration difference fields compare the NT2 algorithm with the Bootstrap algorithm. All fields are mapped to 25 km polar stereographic grids. Note: This product uses the Japan Aerospace Exploration Agency (JAXA) AMSR2 Level-1R input brightness temperatures that are calibrated, or unified, across the JAXA AMSR-E and JAXA AMSR2 Level-1R products.", - "license": "proprietary" - }, - { - "id": "AU_SI25_NRT_R04_4", - "title": "NRT AMSR2 Unified L3 Daily 25 km Brightness Temperature & Sea Ice Concentration Polar Grids V4", - "catalog": "LANCEAMSR2 STAC Catalog", - "state_date": "2020-06-29", - "end_date": "", - "bbox": "-180, -89, 180, 89", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1886605830-LANCEAMSR2.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1886605830-LANCEAMSR2.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LANCEAMSR2/collections/AU_SI25_NRT_R04_4", - "description": "The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles. Near real-time (NRT) products are generated within 3 hours of the last observations in the file, by the Land Atmosphere Near real-time Capability for EOS (LANCE) at the AMSR Science Investigator-led Processing System (AMSR SIPS), which is collocated with the Global Hydrology Resource Center (GHRC) DAAC. The NRT AMSR2 Unified L3 Daily 25 km Brightness Temperature & Sea Ice Concentration Polar Grids, Version 4 uses as input the resampled brightness temperature (Level-1R) data provided by the Japanese Aerospace Exploration Agency (JAXA). The Version 4 dataset uses the AMSR-U2 product generation algorithm with slight modifications for NRT product generation, same algorithm used to generation the standard, science quality, data that is available at the NSIDC DAAC. This Level-3 gridded product includes brightness temperatures at 6.9 through 89.0 GHz and sea ice concentrations. Data are mapped to a polar stereographic grid at 25 km spatial resolution. Sea ice concentration and brightness temperatures include daily ascending averages, daily descending averages, and daily averages. Data are stored in HDF-EOS5 format and are available via HTTP from the EOSDIS LANCE system at https://lance.nsstc.nasa.gov/amsr2-science/data/level3/seaice25. If data latency is not a primary concern, please consider using science quality products. Science products are created using the best available ancillary, calibration and ephemeris information. Science quality products are an internally consistent, well-calibrated record of the Earth's geophysical properties to support science. These standard product, science quality, are available at the NSIDC DAAC: https://nsidc.org/", - "license": "proprietary" - }, - { - "id": "AU_SI6_1", - "title": "AMSR-E/AMSR2 Unified L3 Daily 6.25 km Polar Gridded 89 GHz Brightness Temperatures V001", - "catalog": "NSIDC_ECS STAC Catalog", - "state_date": "2012-07-02", - "end_date": "", - "bbox": "-180, -89.24, 180, 89.24", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1451715376-NSIDC_ECS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1451715376-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections/AU_SI6_1", - "description": "The AMSR-E/AMSR2 Unified Level-3 6.25 km product includes brightness temperatures at 89.0 GHz. Data are mapped to a polar stereographic grid at a spatial resolution of 6.25 km for the Northern and Southern Hemispheres. This product uses the Japan Aerospace Exploration Agency (JAXA) AMSR2 Level-1R input brightness temperatures that are calibrated (unified) across the JAXA AMSR-E and AMSR2 Level-1R products.", - "license": "proprietary" - }, - { - "id": "AU_SI6_NRT_R04_4", - "title": "NRT AMSR2 Unified L3 Daily 6.25 km Polar Gridded 89 GHz Brightness Temperatures V4", - "catalog": "LANCEAMSR2 STAC Catalog", - "state_date": "2020-06-29", - "end_date": "", - "bbox": "-180, -89, 180, 89", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1886605828-LANCEAMSR2.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1886605828-LANCEAMSR2.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LANCEAMSR2/collections/AU_SI6_NRT_R04_4", - "description": "The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles. Near real-time (NRT) products are generated within 3 hours of the last observations in the file, by the Land Atmosphere Near real-time Capability for EOS (LANCE) at the AMSR Science Investigator-led Processing System (AMSR SIPS), which is collocated with the Global Hydrology Resource Center (GHRC) DAAC. The NRT AMSR2 Unified L3 Daily 6.25 km Polar Gridded 89 GHz Brightness Temperatures, Version 4 uses as input the resampled brightness temperature (Level-1R) data provided by the Japanese Aerospace Exploration Agency (JAXA). The Version 4 dataset uses the AMSR-U2 product generation algorithm with slight modifications for NRT product generation, same algorithm used to generation the standard, science quality, data that is available at the NSIDC DAAC. This Level-3 gridded product includes brightness temperatures at 89.0 GHz. Data are mapped to a polar stereographic grid at 6.25 km spatial resolution. This product is an intermediate product during processing of LANCE AMSR2 Level-3 sea ice products at 12.5 km and 25 km resolution. Data are stored in HDF-EOS5/netCDF-CF format and are available via HTTP from the EOSDIS LANCE system at https://lance.nsstc.nasa.gov/amsr2-science/data/level3/seaice6. If data latency is not a primary concern, please consider using science quality products. Science products are created using the best available ancillary, calibration and ephemeris information. Science quality products are an internally consistent, well-calibrated record of the Earth's geophysical properties to support science. These standard product, science quality, are available at the NSIDC DAAC: https://nsidc.org/", - "license": "proprietary" - }, - { - "id": "AVHRR_GLOBAL_10-DAY_COMPOSITES_Not provided", - "title": "AVHRR 1-km Global Land 10-Day Composites", - "catalog": "USGS_LTA STAC Catalog", - "state_date": "1992-04-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566288-USGS_LTA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566288-USGS_LTA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/USGS_LTA/collections/AVHRR_GLOBAL_10-DAY_COMPOSITES_Not%20provided", - "description": "The Advanced Very High Resolution Radiometer (AVHRR) 1-km Global Land 10-Day Composites data set project is a component of the National Aeronautics and Space Administration (NASA) AVHRR Pathfinder Program. The project is a collaborative effort between the National Oceanic and Atmospheric Administration (NOAA), NASA, the U.S. Geological Survey (USGS), the European Space Agency (ESA), Australia's Commonwealth Scientific and Industrial Research Organization (CSIRO), and 30 international ground receiving stations. The project represents an international effort to archive and distribute the 1-km AVHRR composites of the entire global land surface to scientific researchers and to the general public. The data set is comprised of a time series of global 10-day normalized difference vegetation index composites. The composites are generated from radiometrically calibrated, atmospherically corrected, and geometrically corrected daily AVHRR observations. The time series begins in April 1992 and continues for specific time periods.", - "license": "proprietary" - }, - { - "id": "AVHRR_ORBITAL_SEGMENTS_Not provided", - "title": "AVHRR 1-km Orbital Segments", - "catalog": "USGS_LTA STAC Catalog", - "state_date": "1992-04-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566340-USGS_LTA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566340-USGS_LTA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/USGS_LTA/collections/AVHRR_ORBITAL_SEGMENTS_Not%20provided", - "description": " The Advanced Very High Resolution Radiometer (AVHRR) 1-km Orbital Segments data set is a component of the National Aeronautics and Space Administration (NASA) AVHRR Pathfinder Program and contains global coverage of land masses at 1-kilometer resolution. The data set is the result of an international effort to acquire, process, and distribute AVHRR data of the entire global land surface to meet the needs of the international science community. The orbital segments are comprised of raw AVHRR scenes consisting of 5-channel, 10-bit, AVHRR data at 1.1-km resolution at nadir. The raw data are used to produce vegetation index composites; to support fire detection and cloud screening activities; to support research in atmospheric correction; to develop algorithms; and to support a host of research activities that may require the inclusion of raw AVHRR data. ", - "license": "proprietary" - }, - { - "id": "Active_Fluorescence_2001_0", - "title": "Active fluorescence measurements in the Gulf Stream in 2001", - "catalog": "OB_DAAC STAC Catalog", - "state_date": "2001-06-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360093-OB_DAAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360093-OB_DAAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/OB_DAAC/collections/Active_Fluorescence_2001_0", - "description": "Measurements in the Gulf Stream off the East Coast of the US in 2001", - "license": "proprietary" - }, - { - "id": "AirSWOT_Orthomosaic_WaterMask_1655_1", - "title": "ABoVE: AirSWOT Radar, Orthomosaic, and Water Masks, Yukon Flats Basin, Alaska, 2015", - "catalog": "ORNL_CLOUD STAC Catalog", - "state_date": "2015-06-15", - "end_date": "2015-06-15", - "bbox": "-148, 65.93, -145, 66.9", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2162179805-ORNL_CLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2162179805-ORNL_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/AirSWOT_Orthomosaic_WaterMask_1655_1", - "description": "This dataset provides NASA AirSWOT Ka-band (35.75 GHz) radar interferometry data products for water surface elevation (WSE), a derived color-infrared (CIR) digital image orthomosaic, and derived lake/wetland and river channel water masks at 3.6 x 3.6 m resolution for a study area of ~3,300 km2 in the Yukon Flats Basin (YFB) in eastern interior Alaska. The data were collected during a flight over the region on June 15, 2015.These data were collected to validate AirSWOT WSE mappings and to improve the understanding of surface water flow through complex Arctic-Boreal wetland systems.", - "license": "proprietary" - }, - { - "id": "Alder_Shrub_Soil_Alaska_2120_1", - "title": "ABoVE: Alder Shrub Cover and Soil Properties, Alaska, 2019", - "catalog": "ORNL_CLOUD STAC Catalog", - "state_date": "2018-08-14", - "end_date": "2019-08-28", - "bbox": "-150.71, 66.34, -149.71, 68.02", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2575421351-ORNL_CLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2575421351-ORNL_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/Alder_Shrub_Soil_Alaska_2120_1", - "description": "This dataset holds measures of vegetative cover and soil characteristics for sites in interior Alaska, U.S., along the James W. Dalton Highway (Alaska Route 11). The field data were collected during August in 2018 and 2019 to study the expansion of shrub cover, particularly alders (Alnus spp.) in tundra ecosystems and the potential impact of shrubs on soil properties. Samples were measured along transects at 5- to 10-m intervals. Soil samples were collected and analyzed in the laboratory. Vegetation variables include percent cover of mosses, lichens, graminoid species, shrubs, alder, birch (Betula spp.), and willow (Salix spp.) along with the biomass, size, and age structure of alder. An allometric model to estimate alder biomass was developed. Soil metrics include moisture content, conductivity, bulk density, carbon and nitrogen content and isotope ratios. The data include the maximum annual Normalized Difference Vegetation Index (NDVI) for 2019 and the trend in maximum NDVI for 2000-2020. The data are provided in comma-separated values (CSV) format.", - "license": "proprietary" - }, - { - "id": "Annual_30m_AGB_1808_1", - "title": "ABoVE: Annual Aboveground Biomass for Boreal Forests of ABoVE Core Domain, 1984-2014", - "catalog": "ORNL_CLOUD STAC Catalog", - "state_date": "1984-01-01", - "end_date": "2014-12-31", - "bbox": "-165.41, 51.78, -101.74, 69.73", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2111720412-ORNL_CLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2111720412-ORNL_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/Annual_30m_AGB_1808_1", - "description": "This dataset provides estimated annual aboveground biomass (AGB) density for live woody (tree and shrub) species and corresponding standard errors at a 30 m spatial resolution for the boreal forest biome portion of the Core Study Domain of NASA's Arctic-Boreal Vulnerability Experiment (ABoVE) Project (Alaska and Canada) over the time period 1984-2014. The data were derived from a time series of Landsat-5 and Landsat-7 surface reflectance imagery and full-waveform lidar returns from the Geoscience Laser Altimeter System (GLAS) flown onboard IceSAT from 2004 to 2008. The Change Detection and Classification (CCDC) model-fitting algorithm was used to estimate the seasonal variability in surface reflectance, and AGB density data were produced by applying allometric equations to the GLAS lidar data. A Gradient Boosted Machines machine learning algorithm was used to predict annual AGB density across the study domain given the seasonal variability in surface reflectance and other predictors. The data received statistical smoothing to reduce noise and uncertainty was estimated at the pixel level. These data contribute to the characterization of how biomass stocks are responding to climate and disturbance in boreal forests.", - "license": "proprietary" - }, - { - "id": "C1_PANA_STUC00GTD_1", - "title": "Cartosat-1 PANA Standard Products", - "catalog": "ISRO STAC Catalog", - "state_date": "2005-08-05", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1293271378-ISRO.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1293271378-ISRO.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ISRO/collections/C1_PANA_STUC00GTD_1", - "description": "This is High resolution satellite carries two PAN sensors with 2.5m resolution and fore-aft stereo capability. The payload is designed to cater to applications in cartography, terrain modeling, cadastral mapping etc. Standard products are full scene (path-row) based geo-referenced as well as geo-orthokit products.", - "license": "proprietary" - }, - { - "id": "C1_PANF_STUC00GTD_1", - "title": "Cartosat-1 PANF Standard Products", - "catalog": "ISRO STAC Catalog", - "state_date": "2005-08-05", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1293271427-ISRO.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1293271427-ISRO.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ISRO/collections/C1_PANF_STUC00GTD_1", - "description": "This is High resolution satellite carries two PAN sensors with 2.5m resolution and fore-aft stereo capability. The payload is designed to cater to applications in cartography, terrain modeling, cadastral mapping etc. Standard products are full scene (path-row) based geo-referenced as well as geo-orthokit products.", - "license": "proprietary" - }, - { - "id": "CDDIS_DORIS_data_cycle_1", - "title": "CDDIS_DORIS_data_cycle", - "catalog": "CDDIS STAC Catalog", - "state_date": "1990-03-31", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000000-CDDIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000000-CDDIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CDDIS/collections/CDDIS_DORIS_data_cycle_1", - "description": "Doppler Orbitography and Radiopositioning Integrated by Satellite (DORIS) was developed by the Centre National d'Etudes Spatiales (CNES) with cooperation from other French government agencies. The system was developed to provide precise orbit determination and high accuracy location of ground beacons for point positioning. DORIS is a dual-frequency Doppler system that has been included as an experiment on various space missions such as TOPEX/Poseidon, SPOT-2, -3, -4, and -5, Envisat, and Jason satellites. Unlike many other navigation systems, DORIS is based on an uplink device. The receivers are on board the satellite with the transmitters are on the ground. This creates a centralized system in which the complete set of observations is downloaded by the satellite to the ground center, from where they are distributed after editing and processing. An accurate measurment is made of the Doppler shift on radiofrequency signals emitted by the ground beacons and received on the spacecraft.", - "license": "proprietary" - }, - { - "id": "CDDIS_DORIS_data_rinex_1", - "title": "CDDIS_DORIS_data_rinex", - "catalog": "CDDIS STAC Catalog", - "state_date": "2008-06-20", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000001-CDDIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000001-CDDIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CDDIS/collections/CDDIS_DORIS_data_rinex_1", - "description": "The Doppler Orbitography by Radiopositioning Integrated on Satellite (DORIS) was developed by the Centre National d'Etudes Spatiales (CNES) with cooperation from other French government agencies. The system was developed to provide precise orbit determination and high accuracy location of ground beacons for point positioning. DORIS is a dual-frequency Doppler system that has been included as an experiment on various space missions such as TOPEX/Poseidon, SPOT-2, -3, -4, and -5, Envisat, and Jason satellites. Unlike many other navigation systems, DORIS is based on an uplink device. The receivers are on board the satellite with the transmitters are on the ground. This creates a centralized system in which the complete set of observations is downloaded by the satellite to the ground center, from where they are distributed after editing and processing. An accurate measurment is made of the Doppler shift on radiofrequency signals emitted by the ground beacons and received on the spacecraft.", - "license": "proprietary" - }, - { - "id": "CDDIS_DORIS_products_geocenter_1", - "title": "CDDIS_DORIS_products_geocenter", - "catalog": "CDDIS STAC Catalog", - "state_date": "1990-03-31", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000002-CDDIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000002-CDDIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CDDIS/collections/CDDIS_DORIS_products_geocenter_1", - "description": "Geocenter determination solutions derived from analysis of Doppler Orbitography by Radiopositioning Integrated on Satellite (DORIS) data. These products are the generated by analysis centers in support of the International DORIS Service (IDS).", - "license": "proprietary" - }, - { - "id": "CDDIS_DORIS_products_ionosphere_1", - "title": "CDDIS_DORIS_products_ionosphere", - "catalog": "CDDIS STAC Catalog", - "state_date": "2001-01-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000003-CDDIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000003-CDDIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CDDIS/collections/CDDIS_DORIS_products_ionosphere_1", - "description": "Ionosphere correction values derived from analysis of Doppler Orbitography by Radiopositioning Integrated on Satellite (DORIS) data. These products are the generated by analysis centers in support of the International DORIS Service (IDS).", - "license": "proprietary" - }, - { - "id": "CDDIS_GNSS_products_IGS20_1", - "title": "CDDIS GNSS ITRF2020 IGS products (IGS20)", - "catalog": "CDDIS STAC Catalog", - "state_date": "1983-01-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2433571719-CDDIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2433571719-CDDIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CDDIS/collections/CDDIS_GNSS_products_IGS20_1", - "description": "These data-derived products are the International GNSS Service (IGS) Analysis Centers' (AC) contribution to the International Terrestrial Reference Frame (ITRF) 2020.", - "license": "proprietary" - }, - { - "id": "CDDIS_MEASURES_products_coseismic_offsets_1", - "title": "CDDIS SESES MEaSUREs products weekly coseismic offset time series", - "catalog": "CDDIS STAC Catalog", - "state_date": "1992-01-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2042454001-CDDIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2042454001-CDDIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CDDIS/collections/CDDIS_MEASURES_products_coseismic_offsets_1", - "description": "Making Earth System Data Records for Use in Research Environments (MEaSUREs) empowers the research community to participate in developing and generating data products that complement and augment NASA produced and distributed Earth science data products. NASA\u2019s Enhanced Solid Earth Science Earth Science Data Record (ESDR) System (ESESES) continues and extends mature geodetic data product generation and archival as part of the MEaSUREs SESES project providing new, multi-decade, calibrated and validated geodetic-derived ESDRs obtained by the Scripps Institution of Oceanography (SIO) and NASA's Jet Propulsion Laboratory (JPL). These data-derived products include continuous multi-year high-rate GNSS, seismogeodetic, and meteorological time series, a catalog of transient deformation in tectonically active areas known for aseismic motion such as ETS with focus in Cascadia, and continuous estimation and cataloging of total near-surface water content derived from continuous GNSS time series over the continental U.S.", - "license": "proprietary" - }, - { - "id": "CDDIS_MEASURES_products_daily_time_series_1", - "title": "CDDIS SESES MEaSUREs products daily GNSS geodetic displacement time series", - "catalog": "CDDIS STAC Catalog", - "state_date": "1992-01-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000081-CDDIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000081-CDDIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CDDIS/collections/CDDIS_MEASURES_products_daily_time_series_1", - "description": "Making Earth System Data Records for Use in Research Environments (MEaSUREs) empowers the research community to participate in developing and generating data products that complement and augment NASA produced and distributed Earth science data products. NASA\u2019s Enhanced Solid Earth Science Earth Science Data Record (ESDR) System (ESESES) continues and extends mature geodetic data product generation and archival as part of the MEaSUREs SESES project providing new, multi-decade, calibrated and validated geodetic-derived ESDRs obtained by the Scripps Institution of Oceanography (SIO) and NASA's Jet Propulsion Laboratory (JPL). These data-derived products include continuous multi-year high-rate GNSS, seismogeodetic, and meteorological time series, a catalog of transient deformation in tectonically active areas known for aseismic motion such as ETS with focus in Cascadia, and continuous estimation and cataloging of total near-surface water content derived from continuous GNSS time series over the continental U.S. These data products are daily geodetic displacement time series (compressed). They are combined, cleaned and filtered, GIPSY-GAMIT long-term time series of Continuous Global Navigation Satellite System (CGNSS) station positions (global and regional) in the latest version of ITRF ", - "license": "proprietary" - }, - { - "id": "CDDIS_MEASURES_products_daily_tropo_delay_1", - "title": "CDDIS SESES MEaSUREs GNSS products daily tropospheric delay", - "catalog": "CDDIS STAC Catalog", - "state_date": "1992-01-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2042454082-CDDIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2042454082-CDDIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CDDIS/collections/CDDIS_MEASURES_products_daily_tropo_delay_1", - "description": "Making Earth System Data Records for Use in Research Environments (MEaSUREs) empowers the research community to participate in developing and generating data products that complement and augment NASA produced and distributed Earth science data products. NASA\u2019s Enhanced Solid Earth Science Earth Science Data Record (ESDR) System (ESESES) continues and extends mature geodetic data product generation and archival as part of the MEaSUREs SESES project providing new, multi-decade, calibrated and validated geodetic-derived ESDRs obtained by the Scripps Institution of Oceanography (SIO) and NASA's Jet Propulsion Laboratory (JPL). These data-derived products include continuous multi-year high-rate GNSS, seismogeodetic, and meteorological time series, a catalog of transient deformation in tectonically active areas known for aseismic motion such as ETS with focus in Cascadia, and continuous estimation and cataloging of total near-surface water content derived from continuous GNSS time series over the continental U.S. These GNSS data products are long-term time series of troposphere delay (5-minute resolution) at geodetic stations, necessarily estimated during position time series production. ", - "license": "proprietary" - }, - { - "id": "CDDIS_MEASURES_products_discplacement_grids_1", - "title": "CDDIS SESES MEaSUREs products weekly displacement grids time series", - "catalog": "CDDIS STAC Catalog", - "state_date": "1992-01-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2042454029-CDDIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2042454029-CDDIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CDDIS/collections/CDDIS_MEASURES_products_discplacement_grids_1", - "description": "Making Earth System Data Records for Use in Research Environments (MEaSUREs) empowers the research community to participate in developing and generating data products that complement and augment NASA produced and distributed Earth science data products. NASA\u2019s Enhanced Solid Earth Science Earth Science Data Record (ESDR) System (ESESES) continues and extends mature geodetic data product generation and archival as part of the MEaSUREs SESES project providing new, multi-decade, calibrated and validated geodetic-derived ESDRs obtained by the Scripps Institution of Oceanography (SIO) and NASA's Jet Propulsion Laboratory (JPL). These data-derived products include continuous multi-year high-rate GNSS, seismogeodetic, and meteorological time series, a catalog of transient deformation in tectonically active areas known for aseismic motion such as ETS with focus in Cascadia, and continuous estimation and cataloging of total near-surface water content derived from continuous GNSS time series over the continental U.S. ", - "license": "proprietary" - }, - { - "id": "CDDIS_MEASURES_products_earthquake_displacement_1", - "title": "CDDIS SESES MEaSUREs products highrate earthquake displacement", - "catalog": "CDDIS STAC Catalog", - "state_date": "1992-01-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2043197582-CDDIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2043197582-CDDIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CDDIS/collections/CDDIS_MEASURES_products_earthquake_displacement_1", - "description": "Making Earth System Data Records for Use in Research Environments (MEaSUREs) empowers the research community to participate in developing and generating data products that complement and augment NASA produced and distributed Earth science data products. NASA\u2019s Enhanced Solid Earth Science Earth Science Data Record (ESDR) System (ESESES) continues and extends mature geodetic data product generation and archival as part of the MEaSUREs SESES project providing new, multi-decade, calibrated and validated geodetic-derived ESDRs obtained by the Scripps Institution of Oceanography (SIO) and NASA's Jet Propulsion Laboratory (JPL). These data-derived products include continuous multi-year high-rate GNSS, seismogeodetic, and meteorological time series, a catalog of transient deformation in tectonically active areas known for aseismic motion such as ETS with focus in Cascadia, and continuous estimation and cataloging of total near-surface water content derived from continuous GNSS time series over the continental U.S. These products consist of high-rate displacements at a rate of 1 sample per second or greater. They are used to measure the ground motions when an earthquake occurs.", - "license": "proprietary" - }, - { - "id": "CDDIS_MEASURES_products_transients_1", - "title": "CDDIS SESES MEaSUREs products plate boundary aseismic transient deformation", - "catalog": "CDDIS STAC Catalog", - "state_date": "1992-01-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2042416028-CDDIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2042416028-CDDIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CDDIS/collections/CDDIS_MEASURES_products_transients_1", - "description": "Making Earth System Data Records for Use in Research Environments (MEaSUREs) empowers the research community to participate in developing and generating data products that complement and augment NASA produced and distributed Earth science data products. NASA\u2019s Enhanced Solid Earth Science Earth Science Data Record (ESDR) System (ESESES) continues and extends mature geodetic data product generation and archival as part of the MEaSUREs SESES project providing new, multi-decade, calibrated and validated geodetic-derived ESDRs obtained by the Scripps Institution of Oceanography (SIO) and NASA's Jet Propulsion Laboratory (JPL). These data-derived products include continuous multi-year high-rate GNSS, seismogeodetic, and meteorological time series, a catalog of transient deformation in tectonically active areas known for aseismic motion such as ETS with focus in Cascadia, and continuous estimation and cataloging of total near-surface water content derived from continuous GNSS time series over the continental U.S. These data products catalog plate boundary aseismic transient deformation with focus in Cascadia, cataloging and parameterizing transient deformation in tectonically active areas known for aseismic transient motion such as episodic tremor and slip (ETS), first discovered in Japan and Cascadia. ", - "license": "proprietary" - }, - { - "id": "CDDIS_MEASURES_products_water_storage_1", - "title": "CDDIS SESES MEaSUREs products total water storage time series", - "catalog": "CDDIS STAC Catalog", - "state_date": "1992-01-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2042453960-CDDIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2042453960-CDDIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CDDIS/collections/CDDIS_MEASURES_products_water_storage_1", - "description": "Making Earth System Data Records for Use in Research Environments (MEaSUREs) empowers the research community to participate in developing and generating data products that complement and augment NASA produced and distributed Earth science data products. NASA\u2019s Enhanced Solid Earth Science Earth Science Data Record (ESDR) System (ESESES) continues and extends mature geodetic data product generation and archival as part of the MEaSUREs SESES project providing new, multi-decade, calibrated and validated geodetic-derived ESDRs obtained by the Scripps Institution of Oceanography (SIO) and NASA's Jet Propulsion Laboratory (JPL). These data-derived products include continuous multi-year high-rate GNSS, seismogeodetic, and meteorological time series, a catalog of transient deformation in tectonically active areas known for aseismic motion such as ETS with focus in Cascadia, and continuous estimation and cataloging of total near-surface water content derived from continuous GNSS time series over the continental U.S. These data products are grids of changes in total water storage over the continental U.S.; continuous estimation and cataloging of total near-surface water content derived from continuous GNSS time series over the continental U.S. ", - "license": "proprietary" - }, - { - "id": "CDDIS_SLR_products_ITRF2020_REPRO2020_1", - "title": "CDDIS SLR products ITRF2020 Station Positions and Earth Orientation Parameters Time Series REPRO2020", - "catalog": "CDDIS STAC Catalog", - "state_date": "1983-01-01", - "end_date": "2021-12-31", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2409908432-CDDIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2409908432-CDDIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CDDIS/collections/CDDIS_SLR_products_ITRF2020_REPRO2020_1", - "description": "\u201cThe ILRS contribution to ITRF2020 consists of a pair of time series of weekly and bi-weekly station position estimates along with daily and 3-day averaged Earth Orientation Parameters (X-pole, Y-pole and excess Length-Of-Day (LOD)) estimated over 7-day arcs (1993.0 \u2013 2021.0) and 15-day arcs for the period 1983.0-1993.0, aligned to the calendar weeks (Sunday to Saturday), starting from January 1983. Each solution is obtained through the combination of loosely constrained weekly/biweekly solutions submitted by each of the seven official ILRS Analysis Centers. Both, the individual and combined solutions have followed strict standards agreed upon within the ILRS Analysis Standing Committee (ASC) to provide ITRS products of the highest possible quality.\u201d (The ILRS contribution to ITRF2020, E. C. Pavlis (GESTAR II/UMBC & NASA Goddard 61A) and V. Luceri (e-GEOS S.p.A., ASI/CGS))", - "license": "proprietary" - }, - { - "id": "CDDIS_VLBI_data_SWIN_1A", - "title": "CDDIS VLBI SWIN data", - "catalog": "CDDIS STAC Catalog", - "state_date": "2021-01-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2042428712-CDDIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2042428712-CDDIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CDDIS/collections/CDDIS_VLBI_data_SWIN_1A", - "description": "SWIN files contain the VLBI fringe visibilities of an observing session (24 hours long or 1 hour long). The files are created by the International VLBI Service for Geodesy and Astrometry (IVS) correlation centers and constitute the raw output of the Distributed FX-style (DiFX) software correlator running on a Swinburne supercomputer. These data form the basis for the fringe fitting process and can also be used to make source maps of the observed quasars. ", - "license": "proprietary" - }, - { - "id": "CDDIS_VLBI_data_aux_1", - "title": "CDDIS VLBI Auxilliary Files", - "catalog": "CDDIS STAC Catalog", - "state_date": "2005-01-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2404928689-CDDIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2404928689-CDDIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CDDIS/collections/CDDIS_VLBI_data_aux_1", - "description": " Very Long Baseline Interferometry (VLBI) auxiliary ASCII files provided by the International VLBI Service for Geodesy and Astrometry (IVS) include schedules, notes, and session log files.", - "license": "proprietary" - }, - { - "id": "CDDIS_VLBI_data_db_1", - "title": "CDDIS VLBI data DB", - "catalog": "CDDIS STAC Catalog", - "state_date": "2005-01-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2404975699-CDDIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2404975699-CDDIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CDDIS/collections/CDDIS_VLBI_data_db_1", - "description": "Very Long Baseline Interferometry (VLBI) binary files provided by the International VLBI Service for Geodesy and Astrometry (IVS) in vgosDB format.", - "license": "proprietary" - }, - { - "id": "CDDIS_VLBI_data_ngs_1", - "title": "CDDIS VLBI NGS data", - "catalog": "CDDIS STAC Catalog", - "state_date": "2005-01-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2404965297-CDDIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2404965297-CDDIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CDDIS/collections/CDDIS_VLBI_data_ngs_1", - "description": "Very Long Baseline Interferometry (VLBI) ASCII files in the NGS card format.", - "license": "proprietary" - }, - { - "id": "CDDIS_VLBI_data_vgosDB_1", - "title": "CDDIS VLBI level 2 vgosDB format data", - "catalog": "CDDIS STAC Catalog", - "state_date": "2017-01-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2289365510-CDDIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2289365510-CDDIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CDDIS/collections/CDDIS_VLBI_data_vgosDB_1", - "description": "This CDDIS collection is composed of geodetic, Very Long Baseline Array (VLBI) level 2 observational and supporting data (including observations, standard deviations, station coordinates, and more) and derived products which are stored and exchanged in a format named vgosDB, which is the International VLBI Service for Geodesy and Astrometry (IVS) standard format for storing, transmitting, and archiving VLBI data. vgosDB datasets are comprised of NetCDF and ASCII files which contain almost all the information that is required to process a single VLBI session (typically 24-hours of data per single session).", - "license": "proprietary" - }, - { - "id": "CDDIS_VLBI_product_EOPI_1", - "title": "CDDIS VLBI Intensive Earth Orientation Parameter (EOPI) products", - "catalog": "CDDIS STAC Catalog", - "state_date": "2005-01-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2398710772-CDDIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2398710772-CDDIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CDDIS/collections/CDDIS_VLBI_product_EOPI_1", - "description": "These derived data products are intensive (1-hour experiments) Earth orientation parameter (EOPI) solutions obtained with Very Long Baseline Interferometry (VLBI). The CDDIS archive contains EOPI solutions provided by various analysis centers of the International VLBI Service for Geodesy and Astrometry (IVS). The VLBI EOPI series products includes one for each Universal Time (UT1) intensive session with a minimum of one year of data. The operational EOPI product is available at IVS Data Centers 24 hours after the Intensive data become available.", - "license": "proprietary" - }, - { - "id": "CDDIS_VLBI_product_trf_1", - "title": "CDDIS VLBI products Terrestrial Reference Frame", - "catalog": "CDDIS STAC Catalog", - "state_date": "2002-01-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2404809434-CDDIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2404809434-CDDIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CDDIS/collections/CDDIS_VLBI_product_trf_1", - "description": "Terrestrial Reference Frame (TRF) product derived from the analysis of Very Long Baseline Interferometry (VLBI) data. The Terrestrial Reference Frame product includes station positions, velocities, and correlations. A minimum of three years of data are used in each solution. The TRF operational product is available quarterly at International VLBI Service for Geodesy and Astrometry (IVS) Data Centers.", - "license": "proprietary" - }, - { - "id": "CEOS_CalVal_Test_Site-Dome_C-Antarctica_Not provided", - "title": "CEOS Cal Val Test Site - Dome C, Antarctica - Instrumented Site", - "catalog": "USGS_LTA STAC Catalog", - "state_date": "1972-12-06", - "end_date": "", - "bbox": "123, -76.6, 131.18, -74.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566821-USGS_LTA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566821-USGS_LTA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/USGS_LTA/collections/CEOS_CalVal_Test_Site-Dome_C-Antarctica_Not%20provided", - "description": "On the background of these requirements for sensor calibration, intercalibration and product validation, the subgroup on Calibration and Validation of the Committee on Earth Observing System (CEOS) formulated the following recommendation during the plenary session held in China at the end of 2004, with the goal of setting-up and operating an internet based system to provide sensor data, protocols and guidelines for these purposes: Background: Reference Datasets are required to support the understanding of climate change and quality assure operational services by Earth Observing satellites. The data from different sensors and the resulting synergistic data products require a high level of accuracy that can only be obtained through continuous traceable calibration and validation activities. Requirement: Initiate an activity to document a reference methodology to predict Top of Atmosphere (TOA) radiance for which currently flying and planned wide swath sensors can be intercompared, i.e. define a standard for traceability. Also create and maintain a fully accessible web page containing, on an instrument basis, links to all instrument characteristics needed for intercomparisons as specified above, ideally in a common format. In addition, create and maintain a database (e.g. SADE) of instrument data for specific vicarious calibration sites, including site characteristics, in a common format. Each agency is responsible for providing data for their instruments in this common format. Recommendation : The required activities described above should be supported for an implementation period of two years and a maintenance period over two subsequent years. The CEOS should encourage a member agency to accept the lead role in supporting this activity. CEOS should request all member agencies to support this activity by providing appropriate information and data in a timely manner. Instrumented Sites: Dome C, Antarctica is one of eight instrumented sites that are CEOS Reference Test Sites. The CEOS instrumented sites are provisionally being called LANDNET. These instrumented sites are primarily used for field campaigns to obtain radiometric gain, and these sites can serve as a focus for international efforts, facilitating traceability and inter-comparison to evaluate biases of in-flight and future instruments in a harmonized manner.\u00a0 In the longer-term it is anticipated that these sites will all be fully automated and provide surface and atmospheric measurements to the WWW in an autonomous manner reducing some of the cost of a manned campaign, at present three can operate in this manner.", - "license": "proprietary" - }, - { - "id": "CEOS_CalVal_Test_Site-Dunhuang-China_Not provided", - "title": "CEOS Cal Val Test Site - Dunhuang, China - Instrumented Site", - "catalog": "USGS_LTA STAC Catalog", - "state_date": "1975-04-15", - "end_date": "", - "bbox": "91.98, 39, 96.52, 41.45", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566840-USGS_LTA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566840-USGS_LTA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/USGS_LTA/collections/CEOS_CalVal_Test_Site-Dunhuang-China_Not%20provided", - "description": "On the background of these requirements for sensor calibration, intercalibration and product validation, the subgroup on Calibration and Validation of the Committee on Earth Observing System (CEOS) formulated the following recommendation during the plenary session held in China at the end of 2004, with the goal of setting-up and operating an internet based system to provide sensor data, protocols and guidelines for these purposes: Background: Reference Datasets are required to support the understanding of climate change and quality assure operational services by Earth Observing satellites. The data from different sensors and the resulting synergistic data products require a high level of accuracy that can only be obtained through continuous traceable calibration and validation activities. Requirement: Initiate an activity to document a reference methodology to predict Top of Atmosphere (TOA) radiance for which currently flying and planned wide swath sensors can be intercompared, i.e. define a standard for traceability. Also create and maintain a fully accessible web page containing, on an instrument basis, links to all instrument characteristics needed for intercomparisons as specified above, ideally in a common format. In addition, create and maintain a database (e.g. SADE) of instrument data for specific vicarious calibration sites, including site characteristics, in a common format. Each agency is responsible for providing data for their instruments in this common format. Recommendation : The required activities described above should be supported for an implementation period of two years and a maintenance period over two subsequent years. The CEOS should encourage a member agency to accept the lead role in supporting this activity. CEOS should request all member agencies to support this activity by providing appropriate information and data in a timely manner. Instrumented Sites: Dunhuang, China, is one of eight instrumented sites that are CEOS Reference Test Sites. The CEOS instrumented sites are provisionally being called LANDNET. These instrumented sites are primarily used for field campaigns to obtain radiometric gain, and these sites can serve as a focus for international efforts, facilitating traceability and inter-comparison to evaluate biases of in-flight and future instruments in a harmonized manner.\u00a0 In the longer-term it is anticipated that these sites will all be fully automated and provide surface and atmospheric measurements to the WWW in an autonomous manner reducing some of the cost of a manned campaign, at present three can operate in this manner.", - "license": "proprietary" - }, - { - "id": "CEOS_CalVal_Test_Site-Frenchman_Flat-USA_Not provided", - "title": "CEOS Cal Val Test Site - Frenchman Flat, USA - Instrumented Site", - "catalog": "USGS_LTA STAC Catalog", - "state_date": "1972-08-09", - "end_date": "", - "bbox": "-115.9, 36.7, -115.8, 36.9", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566808-USGS_LTA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566808-USGS_LTA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/USGS_LTA/collections/CEOS_CalVal_Test_Site-Frenchman_Flat-USA_Not%20provided", - "description": "On the background of these requirements for sensor calibration, intercalibration and product validation, the subgroup on Calibration and Validation of the Committee on Earth Observing System (CEOS) formulated the following recommendation during the plenary session held in China at the end of 2004, with the goal of setting-up and operating an internet based system to provide sensor data, protocols and guidelines for these purposes: Background: Reference Datasets are required to support the understanding of climate change and quality assure operational services by Earth Observing satellites. The data from different sensors and the resulting synergistic data products require a high level of accuracy that can only be obtained through continuous traceable calibration and validation activities. Requirement: Initiate an activity to document a reference methodology to predict Top of Atmosphere (TOA) radiance for which currently flying and planned wide swath sensors can be intercompared, i.e. define a standard for traceability. Also create and maintain a fully accessible web page containing, on an instrument basis, links to all instrument characteristics needed for intercomparisons as specified above, ideally in a common format. In addition, create and maintain a database (e.g. SADE) of instrument data for specific vicarious calibration sites, including site characteristics, in a common format. Each agency is responsible for providing data for their instruments in this common format. Recommendation : The required activities described above should be supported for an implementation period of two years and a maintenance period over two subsequent years. The CEOS should encourage a member agency to accept the lead role in supporting this activity. CEOS should request all member agencies to support this activity by providing appropriate information and data in a timely manner. Instrumented Sites: Frenchman Flat, USA is one of eight instrumented sites that are CEOS Reference Test Sites. The CEOS instrumented sites are provisionally being called LANDNET. These instrumented sites are primarily used for field campaigns to obtain radiometric gain, and these sites can serve as a focus for international efforts, facilitating traceability and inter-comparison to evaluate biases of in-flight and future instruments in a harmonized manner.\u00a0 In the longer-term it is anticipated that these sites will all be fully automated and provide surface and atmospheric measurements to the WWW in an autonomous manner reducing some of the cost of a manned campaign, at present three can operate in this manner.", - "license": "proprietary" - }, - { - "id": "CEOS_CalVal_Test_Site-Ivanpah_Playa-USA_Not provided", - "title": "CEOS Cal Val Test Site - Ivanpah Playa, USA - Instrumented Site", - "catalog": "USGS_LTA STAC Catalog", - "state_date": "1972-08-26", - "end_date": "", - "bbox": "-115.5, 35.45, -115.3, 35.65", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566841-USGS_LTA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566841-USGS_LTA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/USGS_LTA/collections/CEOS_CalVal_Test_Site-Ivanpah_Playa-USA_Not%20provided", - "description": "On the background of these requirements for sensor calibration, intercalibration and product validation, the subgroup on Calibration and Validation of the Committee on Earth Observing System (CEOS) formulated the following recommendation during the plenary session held in China at the end of 2004, with the goal of setting-up and operating an internet based system to provide sensor data, protocols and guidelines for these purposes: Background: Reference Datasets are required to support the understanding of climate change and quality assure operational services by Earth Observing satellites. The data from different sensors and the resulting synergistic data products require a high level of accuracy that can only be obtained through continuous traceable calibration and validation activities. Requirement: Initiate an activity to document a reference methodology to predict Top of Atmosphere (TOA) radiance for which currently flying and planned wide swath sensors can be intercompared, i.e. define a standard for traceability. Also create and maintain a fully accessible web page containing, on an instrument basis, links to all instrument characteristics needed for intercomparisons as specified above, ideally in a common format. In addition, create and maintain a database (e.g. SADE) of instrument data for specific vicarious calibration sites, including site characteristics, in a common format. Each agency is responsible for providing data for their instruments in this common format. Recommendation : The required activities described above should be supported for an implementation period of two years and a maintenance period over two subsequent years. The CEOS should encourage a member agency to accept the lead role in supporting this activity. CEOS should request all member agencies to support this activity by providing appropriate information and data in a timely manner. Instrumented Sites: Ivanpah Playa, USA is one of eight instrumented sites that are CEOS Reference Test Sites. The CEOS instrumented sites are provisionally being called LANDNET. These instrumented sites are primarily used for field campaigns to obtain radiometric gain, and these sites can serve as a focus for international efforts, facilitating traceability and inter-comparison to evaluate biases of in-flight and future instruments in a harmonized manner.\u00a0 In the longer-term it is anticipated that these sites will all be fully automated and provide surface and atmospheric measurements to the WWW in an autonomous manner reducing some of the cost of a manned campaign, at present three can operate in this manner.", - "license": "proprietary" - }, - { - "id": "CEOS_CalVal_Test_Site-La_Crau-France_Not provided", - "title": "CEOS Cal Val Test Site - La Crau, France - Instrumented Site", - "catalog": "USGS_LTA STAC Catalog", - "state_date": "1972-08-16", - "end_date": "", - "bbox": "1.92, 41.86, 6.49, 45.63", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566843-USGS_LTA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566843-USGS_LTA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/USGS_LTA/collections/CEOS_CalVal_Test_Site-La_Crau-France_Not%20provided", - "description": "On the background of these requirements for sensor calibration, intercalibration and product validation, the subgroup on Calibration and Validation of the Committee on Earth Observing System (CEOS) formulated the following recommendation during the plenary session held in China at the end of 2004, with the goal of setting-up and operating an internet based system to provide sensor data, protocols and guidelines for these purposes: Background: Reference Datasets are required to support the understanding of climate change and quality assure operational services by Earth Observing satellites. The data from different sensors and the resulting synergistic data products require a high level of accuracy that can only be obtained through continuous traceable calibration and validation activities. Requirement: Initiate an activity to document a reference methodology to predict Top of Atmosphere (TOA) radiance for which currently flying and planned wide swath sensors can be intercompared, i.e. define a standard for traceability. Also create and maintain a fully accessible web page containing, on an instrument basis, links to all instrument characteristics needed for intercomparisons as specified above, ideally in a common format. In addition, create and maintain a database (e.g. SADE) of instrument data for specific vicarious calibration sites, including site characteristics, in a common format. Each agency is responsible for providing data for their instruments in this common format. Recommendation : The required activities described above should be supported for an implementation period of two years and a maintenance period over two subsequent years. The CEOS should encourage a member agency to accept the lead role in supporting this activity. CEOS should request all member agencies to support this activity by providing appropriate information and data in a timely manner. Instrumented Sites: La Crau, France is one of eight instrumented sites that are CEOS Reference Test Sites. The CEOS instrumented sites are provisionally being called LANDNET. These instrumented sites are primarily used for field campaigns to obtain radiometric gain, and these sites can serve as a focus for international efforts, facilitating traceability and inter-comparison to evaluate biases of in-flight and future instruments in a harmonized manner.\u00a0 In the longer-term it is anticipated that these sites will all be fully automated and provide surface and atmospheric measurements to the WWW in an autonomous manner reducing some of the cost of a manned campaign, at present three can operate in this manner.", - "license": "proprietary" - }, - { - "id": "CEOS_CalVal_Test_Site-Libya1_Not provided", - "title": "CEOS Cal Val Test Site - Libya 1 - Pseudo-Invariant Calibration Site (PICS)", - "catalog": "USGS_LTA STAC Catalog", - "state_date": "1973-01-15", - "end_date": "", - "bbox": "12.19, 23.44, 14.83, 25.76", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566868-USGS_LTA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566868-USGS_LTA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/USGS_LTA/collections/CEOS_CalVal_Test_Site-Libya1_Not%20provided", - "description": "On the background of these requirements for sensor calibration, intercalibration and product validation, the subgroup on Calibration and Validation of the Committee on Earth Observing System (CEOS) formulated the following recommendation during the plenary session held in China at the end of 2004, with the goal of setting-up and operating an internet based system to provide sensor data, protocols and guidelines for these purposes: Background: Reference Datasets are required to support the understanding of climate change and quality assure operational services by Earth Observing satellites. The data from different sensors and the resulting synergistic data products require a high level of accuracy that can only be obtained through continuous traceable calibration and validation activities. Requirement: Initiate an activity to document a reference methodology to predict Top of Atmosphere (TOA) radiance for which currently flying and planned wide swath sensors can be intercompared, i.e. define a standard for traceability. Also create and maintain a fully accessible web page containing, on an instrument basis, links to all instrument characteristics needed for intercomparisons as specified above, ideally in a common format. In addition, create and maintain a database (e.g. SADE) of instrument data for specific vicarious calibration sites, including site characteristics, in a common format. Each agency is responsible for providing data for their instruments in this common format. Recommendation : The required activities described above should be supported for an implementation period of two years and a maintenance period over two subsequent years. The CEOS should encourage a member agency to accept the lead role in supporting this activity. CEOS should request all member agencies to support this activity by providing appropriate information and data in a timely manner. Pseudo-Invariant Calibration Sites (PICS): Libya 4 is one of six CEOS reference Pseudo-Invariant Calibration Sites (PICS) that are CEOS Reference Test Sites. Besides the nominally good site characteristics (temporal stability, uniformity, homogeneity, etc.), these six PICS were selected by also taking into account their heritage and the large number of datasets from multiple instruments that already existed in the EO archives and the long history of characterization performed over these sites. The PICS have high reflectance and are usually made up of sand dunes with climatologically low aerosol loading and practically no vegetation. Consequently, these PICS can be used to evaluate the long-term stability of instrument and facilitate inter-comparison of multiple instruments.", - "license": "proprietary" - }, - { - "id": "CEOS_CalVal_Test_Site-Libya4_Not provided", - "title": "CEOS Cal Val Test Site - Libya 4 - Pseudo-Invariant Calibration Site (PICS)", - "catalog": "USGS_LTA STAC Catalog", - "state_date": "1972-11-16", - "end_date": "", - "bbox": "23.3, 28.45, 23.5, 28.65", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566678-USGS_LTA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566678-USGS_LTA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/USGS_LTA/collections/CEOS_CalVal_Test_Site-Libya4_Not%20provided", - "description": "On the background of these requirements for sensor calibration, intercalibration and product validation, the subgroup on Calibration and Validation of the Committee on Earth Observing System (CEOS) formulated the following recommendation during the plenary session held in China at the end of 2004, with the goal of setting-up and operating an internet based system to provide sensor data, protocols and guidelines for these purposes: Background: Reference Datasets are required to support the understanding of climate change and quality assure operational services by Earth Observing satellites. The data from different sensors and the resulting synergistic data products require a high level of accuracy that can only be obtained through continuous traceable calibration and validation activities. Requirement: Initiate an activity to document a reference methodology to predict Top of Atmosphere (TOA) radiance for which currently flying and planned wide swath sensors can be intercompared, i.e. define a standard for traceability. Also create and maintain a fully accessible web page containing, on an instrument basis, links to all instrument characteristics needed for intercomparisons as specified above, ideally in a common format. In addition, create and maintain a database (e.g. SADE) of instrument data for specific vicarious calibration sites, including site characteristics, in a common format. Each agency is responsible for providing data for their instruments in this common format. Recommendation : The required activities described above should be supported for an implementation period of two years and a maintenance period over two subsequent years. The CEOS should encourage a member agency to accept the lead role in supporting this activity. CEOS should request all member agencies to support this activity by providing appropriate information and data in a timely manner. Pseudo-Invariant Calibration Sites (PICS): Libya 4 is one of six CEOS reference Pseudo-Invariant Calibration Sites (PICS) that are CEOS Reference Test Sites. Besides the nominally good site characteristics (temporal stability, uniformity, homogeneity, etc.), these six PICS were selected by also taking into account their heritage and the large number of datasets from multiple instruments that already existed in the EO archives and the long history of characterization performed over these sites. The PICS have high reflectance and are usually made up of sand dunes with climatologically low aerosol loading and practically no vegetation. Consequently, these PICS can be used to evaluate the long-term stability of instrument and facilitate inter-comparison of multiple instruments.", - "license": "proprietary" - }, - { - "id": "CEOS_CalVal_Test_Site-Mauritania1_Not provided", - "title": "CEOS Cal Val Test Site - Mauritania 1 - Pseudo-Invariant Calibration Site (PICS)", - "catalog": "USGS_LTA STAC Catalog", - "state_date": "1972-09-26", - "end_date": "", - "bbox": "-10.74, 17.74, -7.9, 21.26", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566922-USGS_LTA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566922-USGS_LTA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/USGS_LTA/collections/CEOS_CalVal_Test_Site-Mauritania1_Not%20provided", - "description": "On the background of these requirements for sensor calibration, intercalibration and product validation, the subgroup on Calibration and Validation of the Committee on Earth Observing System (CEOS) formulated the following recommendation during the plenary session held in China at the end of 2004, with the goal of setting-up and operating an internet based system to provide sensor data, protocols and guidelines for these purposes: Background: Reference Datasets are required to support the understanding of climate change and quality assure operational services by Earth Observing satellites. The data from different sensors and the resulting synergistic data products require a high level of accuracy that can only be obtained through continuous traceable calibration and validation activities. Requirement: Initiate an activity to document a reference methodology to predict Top of Atmosphere (TOA) radiance for which currently flying and planned wide swath sensors can be intercompared, i.e. define a standard for traceability. Also create and maintain a fully accessible web page containing, on an instrument basis, links to all instrument characteristics needed for intercomparisons as specified above, ideally in a common format. In addition, create and maintain a database (e.g. SADE) of instrument data for specific vicarious calibration sites, including site characteristics, in a common format. Each agency is responsible for providing data for their instruments in this common format. Recommendation : The required activities described above should be supported for an implementation period of two years and a maintenance period over two subsequent years. The CEOS should encourage a member agency to accept the lead role in supporting this activity. CEOS should request all member agencies to support this activity by providing appropriate information and data in a timely manner. Pseudo-Invariant Calibration Sites (PICS): Mauritania 1 is one of six CEOS reference Pseudo-Invariant Calibration Sites (PICS) that are CEOS Reference Test Sites. Besides the nominally good site characteristics (temporal stability, uniformity, homogeneity, etc.), these six PICS were selected by also taking into account their heritage and the large number of datasets from multiple instruments that already existed in the EO archives and the long history of characterization performed over these sites. The PICS have high reflectance and are usually made up of sand dunes with climatologically low aerosol loading and practically no vegetation. Consequently, these PICS can be used to evaluate the long-term stability of instrument and facilitate inter-comparison of multiple instruments.", - "license": "proprietary" - }, - { - "id": "CEOS_CalVal_Test_Sites-Algeria3_Not provided", - "title": "CEOS Cal Val Test Site - Algeria 3 - Pseudo-Invariant Calibration Site (PICS)", - "catalog": "USGS_LTA STAC Catalog", - "state_date": "1972-08-11", - "end_date": "", - "bbox": "5.22, 29.09, 10.01, 31.36", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1220567099-USGS_LTA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1220567099-USGS_LTA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/USGS_LTA/collections/CEOS_CalVal_Test_Sites-Algeria3_Not%20provided", - "description": "On the background of these requirements for sensor calibration, intercalibration and product validation, the subgroup on Calibration and Validation of the Committee on Earth Observing System (CEOS) formulated the following recommendation during the plenary session held in China at the end of 2004, with the goal of setting-up and operating an internet based system to provide sensor data, protocols and guidelines for these purposes: Background: Reference Datasets are required to support the understanding of climate change and quality assure operational services by Earth Observing satellites. The data from different sensors and the resulting synergistic data products require a high level of accuracy that can only be obtained through continuous traceable calibration and validation activities. Requirement: Initiate an activity to document a reference methodology to predict Top of Atmosphere (TOA) radiance for which currently flying and planned wide swath sensors can be intercompared, i.e. define a standard for traceability. Also create and maintain a fully accessible web page containing, on an instrument basis, links to all instrument characteristics needed for intercomparisons as specified above, ideally in a common format. In addition, create and maintain a database (e.g. SADE) of instrument data for specific vicarious calibration sites, including site characteristics, in a common format. Each agency is responsible for providing data for their instruments in this common format. Recommendation : The required activities described above should be supported for an implementation period of two years and a maintenance period over two subsequent years. The CEOS should encourage a member agency to accept the lead role in supporting this activity. CEOS should request all member agencies to support this activity by providing appropriate information and data in a timely manner. Pseudo-Invariant Calibration Sites (PICS): Algeria 3 is one of six CEOS reference Pseudo-Invariant Calibration Sites (PICS) that are CEOS Reference Test Sites. Besides the nominally good site characteristics (temporal stability, uniformity, homogeneity, etc.), these six PICS were selected by also taking into account their heritage and the large number of datasets from multiple instruments that already existed in the EO archives and the long history of characterization performed over these sites. The PICS have high reflectance and are usually made up of sand dunes with climatologically low aerosol loading and practically no vegetation. Consequently, these PICS can be used to evaluate the long-term stability of instrument and facilitate inter-comparison of multiple instruments.", - "license": "proprietary" - }, - { - "id": "CEOS_CalVal_Test_Sites-Algeria5_Not provided", - "title": "CEOS Cal Val Test Site - Algeria 5 - Pseudo-Invariant Calibration Site (PICS)", - "catalog": "USGS_LTA STAC Catalog", - "state_date": "1972-08-15", - "end_date": "", - "bbox": "-1.32, 29.24, 4.24, 32.79", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1220567104-USGS_LTA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1220567104-USGS_LTA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/USGS_LTA/collections/CEOS_CalVal_Test_Sites-Algeria5_Not%20provided", - "description": "On the background of these requirements for sensor calibration, intercalibration and product validation, the subgroup on Calibration and Validation of the Committee on Earth Observing System (CEOS) formulated the following recommendation during the plenary session held in China at the end of 2004, with the goal of setting-up and operating an internet based system to provide sensor data, protocols and guidelines for these purposes: Background: Reference Datasets are required to support the understanding of climate change and quality assure operational services by Earth Observing satellites. The data from different sensors and the resulting synergistic data products require a high level of accuracy that can only be obtained through continuous traceable calibration and validation activities. Requirement: Initiate an activity to document a reference methodology to predict Top of Atmosphere (TOA) radiance for which currently flying and planned wide swath sensors can be intercompared, i.e. define a standard for traceability. Also create and maintain a fully accessible web page containing, on an instrument basis, links to all instrument characteristics needed for intercomparisons as specified above, ideally in a common format. In addition, create and maintain a database (e.g. SADE) of instrument data for specific vicarious calibration sites, including site characteristics, in a common format. Each agency is responsible for providing data for their instruments in this common format. Recommendation : The required activities described above should be supported for an implementation period of two years and a maintenance period over two subsequent years. The CEOS should encourage a member agency to accept the lead role in supporting this activity. CEOS should request all member agencies to support this activity by providing appropriate information and data in a timely manner. Pseudo-Invariant Calibration Sites (PICS): Algeria 5 is one of six CEOS reference Pseudo-Invariant Calibration Sites (PICS) that are CEOS Reference Test Sites. Besides the nominally good site characteristics (temporal stability, uniformity, homogeneity, etc.), these six PICS were selected by also taking into account their heritage and the large number of datasets from multiple instruments that already existed in the EO archives and the long history of characterization performed over these sites. The PICS have high reflectance and are usually made up of sand dunes with climatologically low aerosol loading and practically no vegetation. Consequently, these PICS can be used to evaluate the long-term stability of instrument and facilitate inter-comparison of multiple instruments.", - "license": "proprietary" - }, - { - "id": "CEOS_CalVal_Test_Sites-Mauritania2_Not provided", - "title": "CEOS Cal Val Test Site - Mauritania 2 - Pseudo-Invariant Calibration Site (PICS)", - "catalog": "USGS_LTA STAC Catalog", - "state_date": "1972-09-26", - "end_date": "", - "bbox": "-10.42, 18.92, -7.52, 22.67", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566953-USGS_LTA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566953-USGS_LTA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/USGS_LTA/collections/CEOS_CalVal_Test_Sites-Mauritania2_Not%20provided", - "description": "On the background of these requirements for sensor calibration, intercalibration and product validation, the subgroup on Calibration and Validation of the Committee on Earth Observing System (CEOS) formulated the following recommendation during the plenary session held in China at the end of 2004, with the goal of setting-up and operating an internet based system to provide sensor data, protocols and guidelines for these purposes: Background: Reference Datasets are required to support the understanding of climate change and quality assure operational services by Earth Observing satellites. The data from different sensors and the resulting synergistic data products require a high level of accuracy that can only be obtained through continuous traceable calibration and validation activities. Requirement: Initiate an activity to document a reference methodology to predict Top of Atmosphere (TOA) radiance for which currently flying and planned wide swath sensors can be intercompared, i.e. define a standard for traceability. Also create and maintain a fully accessible web page containing, on an instrument basis, links to all instrument characteristics needed for intercomparisons as specified above, ideally in a common format. In addition, create and maintain a database (e.g. SADE) of instrument data for specific vicarious calibration sites, including site characteristics, in a common format. Each agency is responsible for providing data for their instruments in this common format. Recommendation : The required activities described above should be supported for an implementation period of two years and a maintenance period over two subsequent years. The CEOS should encourage a member agency to accept the lead role in supporting this activity. CEOS should request all member agencies to support this activity by providing appropriate information and data in a timely manner. Pseudo-Invariant Calibration Sites (PICS): Mauritania 2 is one of six CEOS reference Pseudo-Invariant Calibration Sites (PICS) that are CEOS Reference Test Sites. Besides the nominally good site characteristics (temporal stability, uniformity, homogeneity, etc.), these six PICS were selected by also taking into account their heritage and the large number of datasets from multiple instruments that already existed in the EO archives and the long history of characterization performed over these sites. The PICS have high reflectance and are usually made up of sand dunes with climatologically low aerosol loading and practically no vegetation. Consequently, these PICS can be used to evaluate the long-term stability of instrument and facilitate inter-comparison of multiple instruments.", - "license": "proprietary" - }, - { - "id": "CIESIN_SEDAC_ANTHROMES_v1_1.00", - "title": "Anthropogenic Biomes of the World, Version 1", - "catalog": "SEDAC STAC Catalog", - "state_date": "2001-01-01", - "end_date": "2006-12-31", - "bbox": "-180, -55.750001, 180, 83.083332", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179002107-SEDAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179002107-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections/CIESIN_SEDAC_ANTHROMES_v1_1.00", - "description": "The Anthropogenic Biomes of the World, Version 1 data set describes globally-significant ecological patterns within the terrestrial biosphere caused by sustained direct human interaction with ecosystems, including agriculture, urbanization, forestry and other land uses. Conventional biomes, such as tropical rainforests or grasslands, are based on global vegetation patterns related to climate. Now that humans have fundamentally altered global patterns of ecosystem form, process, and biodiversity, anthropogenic biomes provide a contemporary view of the terrestrial biosphere in its human-altered form. Anthropogenic biomes may also be termed \"anthromes\" to distinguish them from conventional biome systems, or \"human biomes\" (a simpler but less precise term). This data set is distributed by the Columbia University Center for International Earth Science Information Network (CIESIN).", - "license": "proprietary" - }, - { - "id": "CIESIN_SEDAC_ANTHROMES_v2_1700_2.00", - "title": "Anthropogenic Biomes of the World, Version 2: 1700", - "catalog": "SEDAC STAC Catalog", - "state_date": "1700-01-01", - "end_date": "1700-12-31", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000280-SEDAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000280-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections/CIESIN_SEDAC_ANTHROMES_v2_1700_2.00", - "description": "The Anthropogenic Biomes of the World, Version 2: 1700 data set describes anthropogenic transformations within the terrestrial biosphere caused by sustained direct human interaction with ecosystems, including agriculture and urbanization circa 1700. Potential natural vegetation biomes, such as tropical rainforests or grasslands, are based on global vegetation patterns related to climate and geology. Anthropogenic transformation within each biome is approximated using population density, agricultural intensity (cropland and pasture) and urbanization. This data set is part of a time series for the years 1700, 1800, 1900, and 2000 that provides global patterns of historical transformation of the terrestrial biosphere during the Industrial Revolution.", - "license": "proprietary" - }, - { - "id": "CIESIN_SEDAC_AQDH_PM25COM_US_1KM_1.00", - "title": "Annual Mean PM2.5 Components (EC, NH4, NO3, OC, SO4) 50m Urban and 1km Non-Urban Area Grids for Contiguous U.S., 2000-2019 v1", - "catalog": "SEDAC STAC Catalog", - "state_date": "2000-01-01", - "end_date": "2019-12-31", - "bbox": "-180, 17, -65, 72", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2673736502-SEDAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2673736502-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections/CIESIN_SEDAC_AQDH_PM25COM_US_1KM_1.00", - "description": "The Annual Mean PM2.5 Components (EC, NH4, NO3, OC, SO4) 50m Urban and 1km Non-Urban Area Grids for Contiguous U.S., 2000-2019, v1 data set contains annual predictions of the chemical concentrations at a hyper resolution (50m x 50m grid cells) in urban areas and at a high resolution (1km x 1km grid cells) in non-urban areas for the years 2000 to 2019. Particulate matter with an aerodynamic diameter less than 2.5 \u00ef\u00bf\u00bdm (PM2.5) increases mortality and morbidity. PM2.5 is composed of a mixture of chemical components that vary across space and time. Due to limited hyperlocal data availability, less is known about health risks of PM2.5 components, their U.S.-wide exposure disparities, or which species are driving the biggest intra-urban changes in PM2.5 mass. The national super-learned models were developed across the U.S. for hyperlocal estimation of annual mean elemental carbon, ammonium, nitrate, organic carbon, and sulfate concentrations across 3,535 urban areas at a 50m spatial resolution, and at a 1km resolution for non-urban areas from 2000 to 2019. Using Machine-Learning models (ML), combined with either a Generalized Additive Model (GAM) Ensemble Geographically-Weighted-Averaging (GAM-ENWA) or Super-Learning (SL) and approximately 82 billion predictions across 20 years, hyperlocal super-learned PM2.5 components are now available for further research. The overall R-squared values of 10-fold cross validated models ranged from 0.910 to 0.970 on the training sets for these components, while on the test sets the R-squared values ranged from 0.860 to 0.960. Remarkable spatiotemporal intra-urban and inter-urban variabilities were found in PM2.5 components. The Coordinate Reference System (CRS) for predictions is the World Geodetic System 1984 (WGS84) and the Units for the PM2.5 Components are \u00ef\u00bf\u00bdg/m^3. The data are provided in RDS tabular format, a file format native to the R programming language, but can also be opened by other languages such as Python.", - "license": "proprietary" - }, - { - "id": "CIESIN_SEDAC_AQDH_TRACE_US_1KM_1.00", - "title": "Annual Mean PM2.5 Components Trace Elements (TEs) 50m Urban and 1km Non-Urban Area Grids for Contiguous U.S., 2000-2019, v1", - "catalog": "SEDAC STAC Catalog", - "state_date": "2000-01-01", - "end_date": "2019-12-31", - "bbox": "-180, 17, -65, 72", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2673738199-SEDAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2673738199-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections/CIESIN_SEDAC_AQDH_TRACE_US_1KM_1.00", - "description": "The Annual Mean PM2.5 Components Trace Elements (TEs) 50m Urban and 1km Non-Urban Area Grids for Contiguous U.S., 2000-2019, v1 data set contains annual predictions of trace elements concentrations at a hyper resolution (50m x 50m grid cells) in urban areas and a high resolution (1km x 1km grid cells) in non-urban areas, for the years 2000 to 2019. Particulate matter with an aerodynamic diameter of less than 2.5 \u00ef\u00bf\u00bdm (PM2.5) is a human silent killer of millions worldwide, and contains many trace elements (TEs). Understanding the relative toxicity is largely limited by the lack of data. In this work, ensembles of machine learning models were used to generate approximately 163 billion predictions estimating annual mean PM2.5 TEs, namely Bromine (Br), Calcium (Ca), Copper (Cu), Iron (Fe), Potassium (K), Nickel (Ni), Lead (Pb), Silicon (Si), Vanadium (V), and Zinc (Zn). The monitored data from approximately 600 locations were integrated with more than 160 predictors, such as time and location, satellite observations, composite predictors, meteorological covariates, and many novel land use variables using several machine learning algorithms and ensemble methods. Multiple machine-learning models were developed covering urban areas and non-urban areas. Their predictions were then ensembled using either a Generalized Additive Model (GAM) Ensemble Geographically-Weighted-Averaging (GAM-ENWA), or Super-Learners. The overall best model R-squared values for the test sets ranged from 0.79 for Copper to 0.88 for Zinc in non-urban areas. In urban areas, the R-squared model values ranged from 0.80 for Copper to 0.88 for Zinc. The Coordinate Reference System (CRS) used in the predictions is the World Geodetic System 1984 (WGS84) and the Units for the PM2.5 Components TEs are ng/m^3. The data are provided in RDS tabular format, a file format native to the R programming language, but can also be opened by other languages such as Python.", - "license": "proprietary" - }, - { - "id": "CIESIN_SEDAC_DEDC_ACE_V2_2.00", - "title": "Altimeter Corrected Elevations, Version 2 (ACE2)", - "catalog": "SEDAC STAC Catalog", - "state_date": "1994-01-01", - "end_date": "2005-12-31", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1603439745-SEDAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1603439745-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections/CIESIN_SEDAC_DEDC_ACE_V2_2.00", - "description": "The Altimeter Corrected Elevations, Version 2 (ACE2) data set, is the Global Digital Elevation Model (GDEM) created by using multi-mission Satellite Radar Altimetry with the Shuttle Radar Topography Mission (SRTM). It was created by synergistically merging the SRTM data set with Satellite Radar Altimetry within the region bounded by 60\u00ef\u00bf\u00bdN and 60\u00ef\u00bf\u00bdS. Over the areas lying outside the SRTM latitude limits, other sources have been used including Global Observations to Benefit the Environment (GLOBE) and the original Altimeter Corrected Elevations (ACE) Digital Elevation Model (DEM), together with new matrices derived from reprocessing the European Remote Sensing (ERS-1) Geodetic Mission data set with an enhanced re-tracking system, and the inclusion of data from other satellites. ACE2 was developed at resolutions of 3, 9 and 30 arc-seconds, and 5 arc-minutes. The data are distributed in little-endian format as 15 degree by 15 degree tiles, with the file name referring to the southwestern edge of the southwestern most pixel.", - "license": "proprietary" - }, - { - "id": "CIESIN_SEDAC_EPI_2008_2008.00", - "title": "2008 Environmental Performance Index (EPI)", - "catalog": "SEDAC STAC Catalog", - "state_date": "1994-01-01", - "end_date": "2007-12-31", - "bbox": "-180, -55, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179001707-SEDAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179001707-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections/CIESIN_SEDAC_EPI_2008_2008.00", - "description": "The 2008 Environmental Performance Index (EPI) centers on two broad environmental protection objectives: (1) reducing environmental stresses on human health, and (2) promoting ecosystem vitality and sound natural resource management. Derived from a careful review of the environmental literature, these twin goals mirror the priorities expressed by policymakers. Environmental health and ecosystem vitality are gauged using 25 indicators tracked in six well-established policy categories: Environmental Health (Environmental Burden of Disease, Water, and Air Pollution), Air Pollution (effects on ecosystems), Water (effects on ecosystems), Biodiversity and Habitat, Productive Natural Resources (Forestry, Fisheries, and Agriculture), and Climate Change. The 2008 EPI utilizes a proximity-to-target methodology in which performance on each indicator is rated on a 0 to 100 scale (100 represents \u00ef\u00bf\u00bdat target\u00ef\u00bf\u00bd). By identifying specific targets and measuring how close each country comes to them, the EPI provides a foundation for policy analysis and a context for evaluating performance. Issue-by-issue and aggregate rankings facilitate cross-country comparisons both globally and within relevant peer groups. The 2008 EPI is the result of collaboration among the Yale Center for Environmental Law and Policy (YCELP), Columbia University Center for International Earth Science Information Network (CIESIN), World Economic Forum (WEF), and the Joint Research Centre (JRC), European Commission.", - "license": "proprietary" - }, - { - "id": "CIESIN_SEDAC_EPI_2010_2010.00", - "title": "2010 Environmental Performance Index (EPI)", - "catalog": "SEDAC STAC Catalog", - "state_date": "1994-01-01", - "end_date": "2009-12-31", - "bbox": "-180, -55, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179002147-SEDAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179002147-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections/CIESIN_SEDAC_EPI_2010_2010.00", - "description": "The 2010 Environmental Performance Index (EPI) ranks 163 countries on environmental performance based on twenty-five indicators grouped within ten core policy categories addressing environmental health, air quality, water resource management, biodiversity and habitat, forestry, fisheries, agriculture, and climate change in the context of two broad objectives: environmental health and ecosystem vitality. The EPI\u00ef\u00bf\u00bds proximity-to-target methodology facilitates cross-country comparisons among economic and regional peer groups. It was formally released in Davos, Switzerland, at the annual meeting of the World Economic Forum on January 28, 2010. The 2010 EPI is the result of collaboration between the Yale Center for Environmental Law and Policy (YCELP) and the Columbia University Center for International Earth Science Information Network (CIESIN).", - "license": "proprietary" - }, - { - "id": "CIESIN_SEDAC_EPI_2012_2012.00", - "title": "2012 Environmental Performance Index and Pilot Trend Environmental Performance Index", - "catalog": "SEDAC STAC Catalog", - "state_date": "2000-01-01", - "end_date": "2010-12-31", - "bbox": "-180, -55, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000000-SEDAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000000-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections/CIESIN_SEDAC_EPI_2012_2012.00", - "description": "The 2012 Environmental Performance Index (EPI) ranks 132 countries on 22 performance indicators in the following 10 policy categories: environmental burden of disease, water (effects on human health), air pollution (effects on human health), air pollution (ecosystem effects), water resources (ecosystem effects), biodiversity and habitat, forestry, fisheries, agriculture and climate change. These categories track performance and progress on two broad policy objectives, environmental health and ecosystem vitality. Each indicator has an associated environmental public health or ecosystem sustainability target. The EPI's proximity-to-target methodology facilitates cross-country comparisons among economic and regional peer groups. The Pilot Trend Environmental Performance Index (Trend EPI) ranks countries on the change in their environmental performance over the last decade. As a complement to the EPI, the Trend EPI shows who is improving and who is declining over time. The 2012 EPI and Pilot Trend EPI were formally released in Davos, Switzerland, at the annual meeting of the World Economic Forum on January 27, 2012. These are the result of collaboration between the Yale Center for Environmental Law and Policy (YCELP) and the Columbia University Center for International Earth Science Information Network (CIESIN). The Interactive Website for the 2012 EPI is at http://epi.yale.edu/.", - "license": "proprietary" - }, - { - "id": "CIESIN_SEDAC_EPI_2014_2014.00", - "title": "2014 Environmental Performance Index (EPI)", - "catalog": "SEDAC STAC Catalog", - "state_date": "2002-01-01", - "end_date": "2014-12-31", - "bbox": "-180, -55, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000541-SEDAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000541-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections/CIESIN_SEDAC_EPI_2014_2014.00", - "description": "The 2014 Environmental Performance Index (EPI) ranks 178 countries on 20 performance indicators in the following 9 policy categories: health impacts, air quality, water and sanitation, water resources, agriculture, forests, fisheries, biodiversity and habitat, and climate and energy. These categories track performance and progress on two broad policy objectives, environmental health and ecosystem vitality. The EPI's proximity-to-target methodology facilitates cross-country comparisons among economic and regional peer groups. The data set includes the 2014 EPI and component scores, backcast EPI scores for 2002-2012, and time-series source data. The 2014 EPI was formally released in Davos, Switzerland, at the annual meeting of the World Economic Forum on January 25, 2014. These are the result of collaboration between the Yale Center for Environmental Law and Policy (YCELP) and the Columbia University Center for International Earth Science Information Network (CIESIN). The Interactive Website for the 2014 EPI is at http://epi.yale.edu/.", - "license": "proprietary" - }, - { - "id": "CIESIN_SEDAC_EPI_2016_2016.00", - "title": "2016 Environmental Performance Index (EPI)", - "catalog": "SEDAC STAC Catalog", - "state_date": "1950-01-01", - "end_date": "2016-12-31", - "bbox": "-180, -55, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1419908204-SEDAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1419908204-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections/CIESIN_SEDAC_EPI_2016_2016.00", - "description": "The 2016 Environmental Performance Index (EPI) ranks 180 countries on 20 performance indicators in the following 9 policy categories: health impacts, air quality, water and sanitation, water resources, agriculture, forests, fisheries, biodiversity and habitat, and climate and energy. These categories track performance and progress on two broad policy objectives, environmental health and ecosystem vitality. The EPI's proximity-to-target methodology facilitates cross-country comparisons among economic and regional peer groups. The data set includes the 2016 EPI and component scores, backcast EPI scores for 1950-2016, and time-series source data. The 2016 EPI was formally released in Davos, Switzerland, at the annual meeting of the World Economic Forum on January 23, 2016. These are the result of collaboration between the Yale Center for Environmental Law and Policy (YCELP) and Yale Data-Driven Environmental Solutions Group, Yale University, Columbia University Center for International Earth Science Information Network (CIESIN), and the World Economic Forum (WEF). The Interactive Website for the 2016 EPI is at https://epi.yale.edu.", - "license": "proprietary" - }, - { - "id": "CIESIN_SEDAC_EPI_2018_2018.00", - "title": "2018 Environmental Performance Index (EPI)", - "catalog": "SEDAC STAC Catalog", - "state_date": "1950-01-01", - "end_date": "2018-12-31", - "bbox": "-180, -55, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1604900383-SEDAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1604900383-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections/CIESIN_SEDAC_EPI_2018_2018.00", - "description": "The 2018 Environmental Performance Index (EPI) ranks 180 countries on 24 performance indicators in the following 10 issue categories: air quality, water and sanitation, heavy metals, biodiversity and habitat, forests, fisheries, climate and energy, air pollution, water resources, and agriculture. These categories track performance and progress on two broad policy objectives, environmental health and ecosystem vitality. The EPI's proximity-to-target methodology facilitates cross-country comparisons among economic and regional peer groups. The data set includes the 2018 EPI, component scores, and time-series source data. The 2018 EPI was formally released in Davos, Switzerland, at the annual meeting of the World Economic Forum in January 2018. It is the result of collaboration of the Yale Center for Environmental Law and Policy (YCELP), Yale University, Columbia University Center for International Earth Science Information Network (CIESIN), and the World Economic Forum (WEF). The Interactive Website for the 2018 EPI is at https://epi.envirocenter.yale.edu/.", - "license": "proprietary" - }, - { - "id": "CIESIN_SEDAC_EPI_2020_2020.00", - "title": "2020 Environmental Performance Index (EPI)", - "catalog": "SEDAC STAC Catalog", - "state_date": "1950-01-01", - "end_date": "2020-12-31", - "bbox": "-180, -55, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2000613920-SEDAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2000613920-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections/CIESIN_SEDAC_EPI_2020_2020.00", - "description": "The 2020 Environmental Performance Index (EPI) ranks 180 countries on 32 performance indicators in the following 11 issue categories: air quality, sanitation and drinking water, heavy metals, waste management, biodiversity and habitat, ecosystem services, fisheries, climate change, pollution emissions, agriculture, and water resources. These categories track performance and progress on two broad policy objectives, environmental health and ecosystem vitality. The EPI's proximity-to-target methodology facilitates cross-country comparisons among economic and regional peer groups. The data set includes the 2020 EPI, component scores, and time-series source data. It is the result of a collaboration of the Yale Center for Environmental Law and Policy (YCELP), Yale University, and the Columbia University Center for International Earth Science Information Network (CIESIN). The Interactive Website for the 2020 EPI is at https://epi.yale.edu/.", - "license": "proprietary" - }, - { - "id": "CIESIN_SEDAC_EPI_2022_2022.00", - "title": "2022 Environmental Performance Index (EPI)", - "catalog": "SEDAC STAC Catalog", - "state_date": "1950-01-01", - "end_date": "2022-12-31", - "bbox": "-180, -55, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2586824658-SEDAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2586824658-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections/CIESIN_SEDAC_EPI_2022_2022.00", - "description": "The 2022 Environmental Performance Index (EPI) ranks 180 countries on 40 performance indicators in the following 11 issue categories: air quality, sanitation and drinking water, heavy metals, waste management, biodiversity and habitat, ecosystem services, fisheries, acid rain, agriculture, water resources, and climate change mitigation. These categories track performance and progress on three broad policy objectives, environmental health, ecosystem vitality, and climate change. The EPI's proximity-to-target methodology facilitates cross-country comparisons among economic and regional peer groups. The data set includes the 2022 EPI, component scores, and time-series source data. It is the result of a collaboration of the Yale Center for Environmental Law and Policy (YCELP), Yale University, and the Columbia University Center for International Earth Science Information Network (CIESIN).", - "license": "proprietary" - }, - { - "id": "CIESIN_SEDAC_ESI_2000_2000.00", - "title": "2000 Pilot Environmental Sustainability Index (ESI)", - "catalog": "SEDAC STAC Catalog", - "state_date": "1978-01-01", - "end_date": "1999-12-31", - "bbox": "-180, -55, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179001887-SEDAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179001887-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections/CIESIN_SEDAC_ESI_2000_2000.00", - "description": "The 2000 Pilot Environmental Sustainability Index (ESI) is an exploratory effort to construct an index that measures the ability of a nation's economy to achieve sustainable development, with the long term goal of finding a single indicator for environmental sustainability analagous to that of the Gross Domestic Product (GDP). The index covering 56 countries is a composite measure of the current status of a nation's environmental systems, pressures on those systems, human vulnerability to environmental change, national capacity to respond, and contributions to global environmental stewardship. The index was unveiled at the World Economic Forum's annual meeting, January 2000, Davos, Switzerland. The 2000 Pilot ESI is the result of collaboration among the World Economic Forum (WEF), Yale Center for Environmental Law and Policy (YCELP), and the Columbia University Center for International Earth Science Information Network (CIESIN).", - "license": "proprietary" - }, - { - "id": "CIESIN_SEDAC_ESI_2001_2001.00", - "title": "2001 Environmental Sustainability Index (ESI)", - "catalog": "SEDAC STAC Catalog", - "state_date": "1980-01-01", - "end_date": "2000-12-31", - "bbox": "-180, -55, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000220-SEDAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000220-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections/CIESIN_SEDAC_ESI_2001_2001.00", - "description": "The 2001 Environmental Sustainability Index (ESI) utilizes a refined methodology based on the 2000 Pilot ESI effort, to construct an index covering 122 countries that measures the overall progress towards environmental sustainability. The index is a composite measure of the current status of a nation's environmental systems, pressures on those systems, human vulnerability to environmental change, national capacity to respond, and contributions to global environmental stewardship. The refinements included the addition and deletion of indicators, filling gaps in data coverage, new data sets, and the modification of the aggregation scheme. The index was unveiled at the World Economic Forum's annual meeting, January 2001, Davos, Switzerland. The 2001 ESI is the result of collaboration among the World Economic Forum (WEF), Yale Center for Environmental Law and Policy (YCELP), and the Columbia University Center for International Earth Science Information Network (CIESIN).", - "license": "proprietary" - }, - { - "id": "CIESIN_SEDAC_ESI_2002_2002.00", - "title": "2002 Environmental Sustainability Index (ESI)", - "catalog": "SEDAC STAC Catalog", - "state_date": "1980-01-01", - "end_date": "2000-12-31", - "bbox": "-180, -55, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179001967-SEDAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179001967-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections/CIESIN_SEDAC_ESI_2002_2002.00", - "description": "The 2002 Environmental Sustainability Index (ESI) measures overall progress toward environmental sustainability for 142 countries based on environmental systems, stresses, human vulnerability, social and institutional capacity and global stewardship. The addition of a climate change indicator, reduction in number of capacity indicators, and an improved imputation methodology contributed to an improvement from the 2001 ESI. The index was unveiled at the World Economic Forum's annual meeting, January 2002, New York. The 2002 ESI is the result of collaboration among the World Economic Forum (WEF), Yale Center for Environmental Law and Policy (YCELP), and the Columbia University Center for International Earth Science Information Network (CIESIN).", - "license": "proprietary" - }, - { - "id": "CIESIN_SEDAC_ESI_2005_2005.00", - "title": "2005 Environmental Sustainability Index (ESI)", - "catalog": "SEDAC STAC Catalog", - "state_date": "1980-01-01", - "end_date": "2000-12-31", - "bbox": "-180, -55, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179001889-SEDAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179001889-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections/CIESIN_SEDAC_ESI_2005_2005.00", - "description": "The 2005 Environmental Sustainability Index (ESI) is a measure of overall progress towards environmental sustainability, developed for 146 countries. The index provides a composite profile of national environmental stewardship based on a compilation of 21 indicators derived from 76 underlying data sets. The 2005 version of the ESI represents a significant update and improvement on earlier versions; the country ESI scores or rankings should not be compared to earlier versions because of changes to the methodology and underlying data. The index was unveiled at the World Economic Forum's annual meeting, January 2005, Davos, Switzerland. The 2005 ESI is a joint product of the Yale Center for Environmental Law and Policy (YCELP) and the Columbia University Center for International Earth Science Information Network (CIESIN), in collaboration with the World Economic Forum (WEF) and the Joint Research Centre (JRC), European Commission.", - "license": "proprietary" - }, - { - "id": "CIESIN_SEDAC_SDEI_APM25_URBAN_1.00", - "title": "Annual PM2.5 Concentrations for Countries and Urban Areas, 1998-2016", - "catalog": "SEDAC STAC Catalog", - "state_date": "1998-01-01", - "end_date": "2016-12-31", - "bbox": "-180, -54.85, 180, 69.85", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2038014399-SEDAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2038014399-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections/CIESIN_SEDAC_SDEI_APM25_URBAN_1.00", - "description": "The Annual PM2.5 Concentrations for Countries and Urban Areas, 1998-2016, consists of mean concentrations of particulate matter (PM2.5) for countries and urban areas. The PM2.5 data are from the Global Annual PM2.5 Grids from MODIS, MISR and SeaWiFS Aerosol Optical Depth (AOD) with GWR, 1998-2016. The urban areas are from the Global Rural-Urban Mapping Project, Version 1 (GRUMPv1): Urban Extent Polygons, Revision 02, and its time series runs from 1998 to 2016. The country averages are population-weighted such that concentrations in populated areas count more toward the country average than concentrations in less populated areas, and its time series runs from 2008 to 2015.", - "license": "proprietary" - }, - { - "id": "CIESIN_SEDAC_SDEI_GEHE_1.00", - "title": "Annual Global High-Resolution Extreme Heat Estimates (GEHE), 1983-2016", - "catalog": "SEDAC STAC Catalog", - "state_date": "1983-01-01", - "end_date": "2016-12-31", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2748860893-SEDAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2748860893-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections/CIESIN_SEDAC_SDEI_GEHE_1.00", - "description": "The Annual Global High-Resolution Extreme Heat Estimates (GEHE), 1983-2016 data set provides global 0.05 degrees (~5 km) gridded annual counts of the number of days where the maximum Wet Bulb Globe Temperature (WBGTmax) exceeded dangerous hot-humid heat thresholds for the period 1983 to 2016. The thresholds are based on the International Standards Organization (ISO) criteria for occupational heat-related risk, defined as days where WBGTmax > 28, 30, and 32 degrees Celsius. This data set also includes the annual rate of change in the number of extreme humid-heat days that exceeded these thresholds. GEHE has a wide array of applications for mapping and quantifying extreme humid-heat dynamics over a 34-year time period, and is the highest resolution data set of its kind to date. GEHE provides scientific researchers and decision makers from a wide range of arenas, including climate change, public and occupational health, urban planning and design, hazards risk reduction, and food security, insights into how humid-heat has impacted human and environmental systems worldwide. The data set can be used to pinpoint how changes in extreme humid-heat impact human health and well-being, as well as ecological systems, across scales of analysis, from local, to national, to global.", - "license": "proprietary" - }, - { - "id": "CIESIN_SEDAC_USPAT_USUEXT2015_1.00", - "title": "2015 Urban Extents from VIIRS and MODIS for the Continental U.S. Using Machine Learning Methods", - "catalog": "SEDAC STAC Catalog", - "state_date": "2015-01-01", - "end_date": "2015-12-31", - "bbox": "-180, -56, 180, 84", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1648035940-SEDAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1648035940-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections/CIESIN_SEDAC_USPAT_USUEXT2015_1.00", - "description": "The 2015 Urban Extents from VIIRS and MODIS for the Continental U.S. Using Machine Learning Methods data set models urban settlements in the Continental United States (CONUS) as of 2015. When applied to the combination of daytime spectral and nighttime lights satellite data, the machine learning methods achieved high accuracy at an intermediate-resolution of 500 meters at large spatial scales. The input data for these models were two types of satellite imagery: Visible Infrared Imaging Radiometer Suite (VIIRS) Nighttime Light (NTL) data from the Day/Night Band (DNB), and Moderate Resolution Imaging Spectroradiometer (MODIS) corrected daytime Normalized Difference Vegetation Index (NDVI). Although several machine learning methods were evaluated, including Random Forest (RF), Gradient Boosting Machine (GBM), Neural Network (NN), and the Ensemble of RF, GBM, and NN (ESB), the highest accuracy results were achieved with NN, and those results were used to delineate the urban extents in this data set.", - "license": "proprietary" - }, - { - "id": "CLDMSK_L2_VIIRS_NOAA20_NRT_1", - "title": "VIIRS/NOAA-20 Cloud Mask L2 6-Min Swath 750m (NRT)", - "catalog": "ASIPS STAC Catalog", - "state_date": "2020-10-08", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2003160566-ASIPS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2003160566-ASIPS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ASIPS/collections/CLDMSK_L2_VIIRS_NOAA20_NRT_1", - "description": "The NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) NASA Level-2 (L2) Cloud Mask is one of two continuity products designed to sustain the long-term records of both Moderate Resolution Imaging Spectroradiometer (MODIS) and VIIRS heritages. CLDMSK_L2_VIIRS_NOAA20_NRT is the shortname for the NOAA-20 VIIRS Near Real-time incarnation of the Cloud Mask continuity product derived from the MODIS-VIIRS cloud mask (MVCM) algorithm, which itself is based on the MODIS (MOD35) algorithm. MVCM describes a continuity algorithm that is central to both MODIS data (from Terra and Aqua missions) and VIIRS data (from SNPP and Joint Polar Satellite System missions). Please bear in mind that the term MVCM does not appear as an attribute within the product\u2019s metadata. Implemented to consistently handle MODIS and VIIRS inputs, the NOAA-20 VIIRS collection-1 products use calibration-adjusted NASA VIIRS L1B as inputs. The nominal spatial resolution of the NOAA-20 VIIRS L2 Cloud mask is 750 meters.", - "license": "proprietary" - }, - { - "id": "CLDMSK_L2_VIIRS_SNPP_NRT_1", - "title": "VIIRS/SNPP Cloud Mask L2 6-Min Swath 750m (NRT)", - "catalog": "ASIPS STAC Catalog", - "state_date": "2019-04-18", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607563719-ASIPS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607563719-ASIPS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ASIPS/collections/CLDMSK_L2_VIIRS_SNPP_NRT_1", - "description": "The Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) NASA Level-2 (L2) Cloud Mask is one of two continuity products designed to sustain the long-term records of both Moderate Resolution Imaging Spectroradiometer (MODIS) and VIIRS heritages. CLDMSK_L2_VIIRS_SNPP is the shortname for the SNPP VIIRS incarnation of the Cloud Mask continuity product derived from the MODIS-VIIRS cloud mask (MVCM) algorithm, which itself is based on the MODIS (MOD35) algorithm. MVCM describes a continuity algorithm that is central to both MODIS data (from Terra and Aqua missions) and VIIRS data (from SNPP and Joint Polar Satellite System missions). Please bear in mind that the term MVCM does not appear as an attribute within the product\u2019s metadata. Implemented to consistently handle MODIS and VIIRS inputs, the SNPP VIIRS collection-1 products use calibration-adjusted NASA VIIRS L1B as inputs. The nominal spatial resolution of the SNPP VIIRS L2 Cloud mask is 750 meters.", - "license": "proprietary" - }, - { - "id": "COARE_cm_er2.mas_1", - "title": "MODIS Airborne Simulator (MAS) Measurements Taken Onboard the NASA ER-2 During the TOGA COARE Intensive Observing Period.", - "catalog": "LAADS STAC Catalog", - "state_date": "1993-01-03", - "end_date": "1993-03-04", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1625703857-LAADS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1625703857-LAADS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LAADS/collections/COARE_cm_er2.mas_1", - "description": "The MODIS Airborne Simulator (MAS) Measurements, taken onboard the NASA ER-2 during the TOGA COARE Intensive Observing Period, are available upon request from NASA LAADS. Browse products are available at https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/mas/. The ER-2 navigation data are available from the same site in sub directory nasa_er2/nav. Browse imagery of the data may be viewed from the MAS Homepage at: https://mas.arc.nasa.gov/data/deploy_html/toga_home.html. MAS Level 1B data are available on 8500 density 8mm tape from TOGA COARE User Services at the Goddard DAAC. Each tape contains all the flight lines for one MAS flight (one day). The number of flight lines varies, but is generally between 10 and 20. The volume of data varies, but is generally 1 to 3 gigabytes per flight. Detailed instructions for reading MAS tapes is contained in MAS_Usr_Guide.ps. To obtain the data on tape, contact the DAAC User Services Office. For help with NASA TOGA COARE data residing at the GSFC DAAC, contact Pat Hrubiak at hrubiak@daac.gsfc.nasa.gov. BACK GROUND: TOGA COARE was a multidisciplinary, international research effort that investigated the scientific phenomena associated with the interaction between the atmosphere and the ocean in the warm pool region of the western Pacific. The field experiment phase of the program took place from 1 November 1992 through 28 February 1993 and involved the deployment of oceanographic ships and buoys, several ship and land based Doppler radars, multiple low and high level aircraft equipped with Doppler radar and other airborne sensors, as well as a variety of surface based instruments for in situ observations. The NASA component of TOGA COARE, while contributing directly to over all COARE objectives, emphasized scientific objectives associated with the Tropical Rainfall Measuring Mission (TRMM) and NASA's cloud and radiation program. AIRCRAFT INFORMATION: The NASA ER-2 is a high altitude, single pilot aircraft based at Ames Research Center, Moffett Field, CA, and deployed globally in support of a variety of atmospheric research projects. It has a maximum altitude of 70,000 feet (21 km), a range of 3000 nautical miles, a maximum flight duration of 8 hours (nominal 6.5 hours) and a top speed of 410 knots true air speed. The aircraft accommodates about 2700 pounds (1200 kg) of payload. For the TOGA COARE campaign, the ER-2 payload consisted of a variety of radiometers, a lidar, a conductivity probe and a camera. FLIGHT INFORMATION: The following table relates MAS data files to ER-2 and DC-8 flight numbers and to the UTC dates for the 13 mission flights of the NASA/TOGA COARE campaign and 2 additional flights of the ER-2 on which MAS data was acquired. The objectives (Obj) column is included for the convenience of the user; the mission objective defaulted to radiation (Rad) unless convection (Con) was forecast in the target area. Date (UTC) ER-2 Flight DC-8 Flight MAS TapeID Obj-Jan 11-12 93-053 93-01-06 93-053 RadJan 17-18 93-054 93-01-07 93-054 Con Jan 18-19 93-055 93-01-08 93-055 Con Jan 25-26 93-056 93-01-09 93-056 RadJan 28-29 93-057 93-057 Jan 31-Feb 1 93-058 93-01-10 93-058 Rad Feb 2 93-059 93-059 Feb 4 93-060 93-01-11 93-060 Con Feb 6 93-01-12 Con Feb 7 93-061 93-061 Feb 8-9 93-062 93-01-13 93-062 Con Feb 10-11 93-063 93-01-14 93-063 Con Feb 17-18 93-01-15 93-064 Con Feb 19-20 93-064 93-064 Feb 20-21 93-065 93-01-16 93-065 Con Feb 22-23 93-066 93-01-17 Con Feb 23-24 93-067 93-01-18 Rad. INSTRUMENT INFORMATION: The MODIS Airborne Simulator is a visible/infrared imaging radiometer that was mounted, for this campaign, in the right aft wing pod of the ER-2 aircraft. Through cross track scanning to the aircraft direction of flight, the MAS instrument builds a continuous sequence image of the atmosphere surface features under the aircraft. Wavelength channels of the instrument are selected for specific cloud and surface remote sensing applications. Also the channels are those which will be incorporated in measurements by the space borne MODIS instrument. The MAS instrument acquires eleven simultaneous wavelengths with 100 meters or better resolution at the surface. Principles of Operation: The MAS Spectrometer acquires high spatial resolution imagery in the wavelength range 0.55 to 14.3 microns. A total of 50 spectral bands are available in this range, and currently the digitize is configured before each mission to record in any 12 of these bands during flight. For all pre-1994 MAS missions, the 12-channel digitize was configured with four 10-bit channels and seven 8-bit channels. The MAS spectrometer is mated to a scanner sub-assembly which collects image data with an IFOV of 2.5 mrad, giving a ground resolution of 50 meters from 20,000 meters altitude,and a cross track scan width of 85.92 degrees. A 50 channel digitizer which records all 50 spectral bands at 12 bit resolution became operational in January 1995. DATA ORGANIZATION Data Format: The archive tapes are created by writing each output data file (1 straight-line flight track) to tape in fixed-length blocks of 16384 bytes, in time ascending order. One end-of-file (EOF) mark is written at the end of the data blocks for each file, and an extra EOF is written at the end of the data on the tape. The last block of each file has good data at the start of the block and unused bytes (filled with null characters) at the end. Information on the length of the file is encoded in the header when the file is created. No file name,protection, or ownership information is written onto the archive tape. All information necessary to identify the file is stored in the file itself. Documentation: In addition to this document, please obtain Volume 3, MODIS Airborne Simulator Level 1B Data Users Guide, resident in this directory in postscript file MAS_Usr_Guide.ps. Browse Products: There are 2 GIF image files per flight line, named 93ddd??v.gif and 93ddd??i.gif, where 93 is the year, ddd the Julian day of the flight, ?? the flight line number, and v or i, indicating respectively visible (VIS) or Infrared (IR) imagery. Images from each flight, accompanied by a flight statistics summary file, reside in a sub directory named with the date of the flight (02feb93) under mas/images.", - "license": "proprietary" - }, - { - "id": "COSMO-SkyMed.full.archive.and.tasking_NA", - "title": "COSMO-SkyMed full archive and tasking", - "catalog": "ESA STAC Catalog", - "state_date": "2008-09-15", - "end_date": "", - "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.", - "license": "proprietary" - }, - { - "id": "CWIC_REG_1.0", - "title": "Radarsat-2 Scenes, Natural Resources Canada", - "catalog": "CCMEO STAC Catalog", - "state_date": "2008-04-27", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2204659831-CCMEO.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2204659831-CCMEO.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CCMEO/collections/CWIC_REG_1.0", - "description": "The collection represents browse images and metadata for systematically georeferenced Radarsat-2 Synthetic Aperture Radar(SAR) satellite scenes. The browse scenes are not geometrically enhanced using ground control points, but are systematically corrected using sensor parameters. Full resolution precision geocoded scenes(corrected using ground control points) which correspond to the browse images can be ordered from MacDonald Dettwiler and Associates Ltd., Vancouver, Canada. Metadata discovery is achieved using the online catalog http://neodf.nrcan.gc.ca OR by using the CWIC OGC CSW service URL : http://cwic.csiss.gmu.edu/cwicv1/discovery. The imaging frequency is C Band SAR : 5405.0000 MHz. RADARSAT-2 is in a polar, sun-synchronous orbit with a period of approximately 101 minutes. The RADARSAT-2 orbit will be maintained at +\\/- 1 km in across track direction. This orbit maintenance is suitable for InSAR data collection. The geo-location accuracy of RADARSAT-2 products varies with product type. It is currently estimated at +\\/- 30 m for Standard beam products. The revisit period for RADARSAT-2 depends on the beam mode, incidence angle and geographic location of the area of interest. In general, revisit is more frequent at the poles than the equator and the wider swath modes have higher revisit than t he narrow swath modes.", - "license": "proprietary" - }, - { - "id": "CWIC_REG_RCM_1.0", - "title": "RCM (Radarsat Constellation Mission ) Products, Natural Resources Canada", - "catalog": "CCMEO STAC Catalog", - "state_date": "2019-06-12", - "end_date": "2026-06-12", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2204659595-CCMEO.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2204659595-CCMEO.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CCMEO/collections/CWIC_REG_RCM_1.0", - "description": "The collection represents products and metadata for georeferenced Radarsat Constellation Mission ( RCM ) satellite scenes. Metadata discovery and product ordering is achieved using the online catalog https://www.eodms-sgdot.nrcan-rncan.gc.ca/index-en.html OR by using the CWIC OpenSearch OSDD : http://cwic.csiss.gmu.edu/cwicv1/discovery. ", - "license": "proprietary" - }, - { - "id": "CWIC_REG_Radarsat-1_1.0", - "title": "Radarsat-1 Scenes, Natural Resources Canada", - "catalog": "CCMEO STAC Catalog", - "state_date": "1996-01-11", - "end_date": "2013-03-29", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2204658925-CCMEO.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2204658925-CCMEO.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CCMEO/collections/CWIC_REG_Radarsat-1_1.0", - "description": "The collection represents browse images and metadata for systematically georeferenced Radarsat-1 Synthetic Aperture Radar(SAR) satellite scenes. The browse scenes are not geometrically enhanced using ground control points, but are systematically corrected using sensor parameters. Full resolution precision geocoded scenes(corrected using ground control points) which correspond to the browse images can be ordered from MacDonald Dettwiler and Associates Ltd., Vancouver, Canada. Metadata discovery is achieved using the online catalog https://neodf.nrcan.gc.ca/neodf_cat3 OR by using the CWIC OGC CSW service URL : http://cwic.csiss.gmu.edu/cwicv1/discovery. Radarsat-1 operates at 5.3 GHz. (C-Band). It is in a sun-synchronous orbit. Image resolution is in the range 8-100 meters.", - "license": "proprietary" - }, - { - "id": "CartoSat-1.archive.and.Euro-Maps.3D.Digital.Surface.Model_NA", - "title": "CartoSat-1 archive and Euro-Maps 3D Digital Surface Model", - "catalog": "ESA STAC Catalog", - "state_date": "2005-06-01", - "end_date": "2019-02-01", - "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.", - "license": "proprietary" - }, - { - "id": "Cartosat-1.Euro-Maps.3D_NA", - "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", - "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", - "license": "proprietary" - }, - { - "id": "Catlin_Arctic_Survey_0", - "title": "2011 R/V Catlin cruise in the Arctic Ocean", - "catalog": "OB_DAAC STAC Catalog", - "state_date": "2011-03-17", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360181-OB_DAAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360181-OB_DAAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/OB_DAAC/collections/Catlin_Arctic_Survey_0", - "description": "Measurements made in the Arctic Ocean by the RV Catlin in 2011.", - "license": "proprietary" - }, - { - "id": "CosmoSkyMed_NA", - "title": "COSMO-SkyMed ESA archive", - "catalog": "ESA STAC Catalog", - "state_date": "2008-09-15", - "end_date": "", - "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.", - "license": "proprietary" - }, - { - "id": "CryoSat.products_NA", - "title": "CryoSat products", - "catalog": "ESA STAC Catalog", - "state_date": "2010-04-08", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1532648141-ESA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1532648141-ESA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ESA/collections/CryoSat.products_NA", - "description": "CryoSat's primary payload is the SAR/Interferometric Radar Altimeter (SIRAL) (https://earth.esa.int/eogateway/instruments/siral) which has extended capabilities to meet the measurement requirements for ice-sheet elevation and sea-ice freeboard. CryoSat also carries three star trackers for measuring the orientation of the baseline. In addition, a radio receiver called Doppler Orbit and Radio Positioning Integration by Satellite (DORIS) and a small laser retroreflector ensures that CryoSat's position will be accurately tracked. More detailed information on CryoSat instruments is available on the CryoSat mission page. The following CryoSat datasets are available and distributed to registered users: Level 1B and L2 Ice products: FDM, LRM, SAR and SARIn Consolidated Level 2 (GDR): (LRM+SAR+SARIN) consolidated ice products over an orbit Intermediate Level 2 Ice products: LRM, SAR and SARIn L1b and L2 Ocean Products: GOP and IOP CryoTEMPO EOLIS Point Products CryoTEMPO EOLIS Gridded Products Detailed information concerning each of the above datasets is available in the CryoSat Products Overview (https://earth.esa.int/eogateway/missions/cryosat/products) and in the news item: CryoSat Ocean Products now open to scientific community (https://earth.esa.int/web/guest/missions/esa-operational-eo-missions/cryosat/news/-/asset_publisher/47bD/content/cryosat-ocean-products-now-open-to-scientific-community). CryoSat Level 1B altimetric products contain time and geo-location information as well as SIRAL measurements in engineering units. Calibration corrections are included and have been applied to the window delay computations. In Offline products, geophysical corrections are computed from Analysis Auxiliary Data Files (ADFs), whereas in FDM products corrections are computed for Forecast ADFs. All corrections are included in the data products and therefore the range can be calculated by taking into account the surface type. The Offline Level 2 LRM, SAR and SARIn ice altimetric products are generated 30 days after data acquisition and are principally dedicated to glaciologists working on sea-ice and land-ice areas. The Level 2 FDM products are near-real time ocean products, generated 2-3 hours after data acquisition, and fulfill the needs of some ocean operational services. Level 2 products contain the time of measurement, the geo-location and the height of the surface. IOP and GOP are outputs of the CryoSat Ocean Processor. These products are dedicated to the study of ocean surfaces, and provided specifically for the needs of the oceanographic community. IOP are generated 2-3 days after data sensing acquisition and use the DORIS Preliminary Orbit. GOP are typically generated 30 days after data sensing acquisition and use the DORIS Precise Orbit. Geophysical corrections are computed from the Analysis ADFs, however following the oceanographic convention the corrections are available but not directly applied to the range (as for FDM). The CryoSat ThEMatic PrOducts (Cryo-TEMPO) projects aim to deliver a new paradigm of simplified, harmonized, and agile CryoSat-2 products, that are easily accessible to new communities of non-altimeter experts and end users. The Cryo-TEMPO datasets include dedicated products over five thematic areas, covering Sea Ice, Land Ice, Polar Ocean, Coastal Ocean and Inland Water, together with a novel SWATH product (CryoTEMPO-EOLIS) that exploits CryoSat's SARIn mode over ice sheet margins. The standard Cryo-TEMPO products include fully-traceable uncertainties and use rapidly evolving, state-of-the-art processing dedicated to each thematic area. Throughout the project, the products will be constantly evolved, and validated by a group of Thematic Users, thus ensuring optimal relevance and impact for the intended target communities. More information on the Cryo-TEMPO products can be found on the Project Website (http://cryosat.mssl.ucl.ac.uk/tempo/index.html). The CryoTEMPO-EOLIS swath product exploits CryoSat's SARIn mode and the novel Swath processing technique to deliver increased spatial and temporal coverage of time-dependent elevation over land ice, a critical metric for tracking ice mass trends in support to a wide variety of end-users. The CryoTEMPO-EOLIS swath product exploits CryoSat's SARIn mode and the novel Swath processing technique to deliver increased spatial and temporal coverage of time-dependent elevation over land ice, a critical metric for tracking ice mass trends in support to a wide variety of end-users.The dataset consists of systematic reprocessing of the entire CryoSat archive to generate new L2-Swath products, increasing data sampling by 1 to 2 orders of magnitude compared with the operational L2 ESA product. In addition, the EOLIS dataset is joined with the ESA L2 Point-Of-Closest-Approach to generate monthly DEM (Digital Elevation Model) products. This dataset will further the ability of the community to analyse and understand trends across the Greenland Ice Sheet margin, Antarctica and several mountain glaciers and ice caps around the world.", - "license": "proprietary" - }, - { - "id": "DLG100K_Not provided", - "title": "1:100,000-scale Digital Line Graphs (DLG) from the U.S. Geological Survey", - "catalog": "USGS_LTA STAC Catalog", - "state_date": "1987-06-19", - "end_date": "", - "bbox": "-126, 24, -66, 49", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566434-USGS_LTA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566434-USGS_LTA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/USGS_LTA/collections/DLG100K_Not%20provided", - "description": "Digital line graph (DLG) data are digital representations of cartographic information. DLG's of map features are converted to digital form from maps and related sources. Intermediate-scale DLG data are derived from USGS 1:100,000-scale 30- by 60-minute quadrangle maps. If these maps are not available, Bureau of Land Management planimetric maps at a scale of 1: 100,000 are used. Intermediate-scale DLG's are sold in five categories: (1) Public Land Survey System; (2) boundaries (3) transportation; (4) hydrography; and (5) hypsography. All DLG data distributed by the USGS are DLG - Level 3 (DLG-3), which means the data contain a full range of attribute codes, have full topological structuring, and have passed certain quality-control checks. ", - "license": "proprietary" - }, - { - "id": "EARTH_LAND_USGS_AMES_AIR_PHOTOS_Not provided", - "title": "Aerial Photographs (from AMES Pilot Land Data System); USGS EDC, Sioux Falls", - "catalog": "USGS_LTA STAC Catalog", - "state_date": "1970-01-01", - "end_date": "", - "bbox": "-180, 20, -60, 50", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566371-USGS_LTA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566371-USGS_LTA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/USGS_LTA/collections/EARTH_LAND_USGS_AMES_AIR_PHOTOS_Not%20provided", - "description": "The aerial photography inventoried by the Pilot Land Data System (PLDS) at NASA AMES Research Center has been transferred to the USGS EROS Data Center. The photos were obtained from cameras mounted on high and medium altitude aircraft based at the NASA Ames Research Center. Several cameras with varying focal lengths, lenses and film formats are used, but the Wild RC-10 camera with a focal length of 152 millimeters and a 9 by 9 inch film format is most common. The positive transparencies are typically used for ancillary ground checks in conjunctions with digital processing for the same sites. The aircraft flights, specifically requested by scientists performing approved research, often simultaneously collect data using other sensors on board (e.g. Thematic Mapper Simulators (TMS) and Thermal Infrared Multispectral Scanners). High altitude color infrared photography is used regularly by government agencies for such applications as crop yield forecasting, timber inventory and defoliation assessment, water resource management, land use surveys, water pollution monitoring, and natural disaster assessment. To order, specify the latitude and longitude of interest. You will then be given a list of photos available for that location. In some cases, \"flight books\" are available at EDC that describe the nature of the mission during which the photos were taken and other attribute information. The customer service personnel have access to these books for those photo sets for which the books exist.", - "license": "proprietary" - }, - { - "id": "ECO_L1B_ATT_002", - "title": "ECOSTRESS Swath Attitude and Ephemeris Instantaneous L1B Global V002", - "catalog": "LPCLOUD STAC Catalog", - "state_date": "2018-07-09", - "end_date": "", - "bbox": "-180, -54, 180, 54", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2076117996-LPCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2076117996-LPCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/ECO_L1B_ATT_002", - "description": "The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally as well as key biomes and agricultural zones around the world and selected FLUXNET (http://fluxnet.fluxdata.org/about/) validation sites. A map of the acquisition coverage can be found on the ECOSTRESS website (https://ecostress.jpl.nasa.gov/science). The ECOSTRESS Swath Attitude and Ephemeris Instantaneous Level 1B Global (ECO_L1B_ATT) Version 2 data product provides both corrected and uncorrected attitude quaternions and spacecraft ephemeris data obtained from the ISS. The data are provided in 1 second intervals, and each product file contains vectors from the duration of the orbit. The ECO_L1B_ATT Version 2 data product contains layers of attitude and ephemeris data generated by the ISS, which are used to start the geolocation process. These layers also include Earth-centered inertial (ECI) position and velocity, and associated time elements distributed in HDF5 format. Known Issues: *Cannot perform spatial query on ECO_L1B_ATT in NASA Earthdata Search: ECO_L1B_ATT does not contain spatial attributes, so granules cannot be searched by geographic location. Users should search for ECO_L1B_ATT data products by orbit number instead. *Data acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly, temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented, and science acquisitions resumed. *Data acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods.", - "license": "proprietary" - }, - { - "id": "ECO_L1B_GEO_002", - "title": "ECOSTRESS Swath Geolocation Instantaneous L1B Global 70 m V002", - "catalog": "LPCLOUD STAC Catalog", - "state_date": "2018-07-09", - "end_date": "", - "bbox": "-180, -54, 180, 54", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2076087338-LPCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2076087338-LPCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/ECO_L1B_GEO_002", - "description": "The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally as well as key biomes and agricultural zones around the world and selected FLUXNET (http://fluxnet.fluxdata.org/about/) validation sites. A map of the acquisition coverage can be found on the ECOSTRESS website (https://ecostress.jpl.nasa.gov/science). The ECOSTRESS Swath Geolocation Instantaneous Level 1B Global (ECO_L1B_GEO) Version 2 data product provides the geolocation information for the radiance values retrieved in the ECO_L1B_RAD (https://doi.org/10.5067/ecostress/eco_l1b_rad.002) Version 2 data product. The geolocation product gives geo-tagging to each of the radiance pixels. The geolocation processing corrects the ISS-reported ephemeris and attitude data by image matching with a global ortho-base derived from Landsat data, and then assigns latitude and longitude values to each of the Level 1 radiance pixels. When image matching is successful, the data are geolocated to better than 50 meter (m) accuracy. The ECO_L1B_GEO data product is provided as swath data. The ECO_L1B_GEO data product contains data layers for latitude and longitude values, solar and view geometry information, surface height, and the fraction of pixel on land versus water distributed in HDF5 format. Known Issues: *Geolocation accuracy: In cases where scenes were not successfully matched with the ortho-base, the geolocation error is significantly larger; the worst-case geolocation error for uncorrected data is 7 kilometers (km). Within the metadata of the ECO_L1B_GEO file, if the field \"L1GEOMetadata/OrbitCorrectionPerformed\" is \"True\", the data was corrected, and geolocation accuracy should be better than 50 m. If this field is \"False\", then the data was processed without correcting the geolocation and will have up to 7 km geolocation error. *Data acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly, temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented, and science acquisitions resumed. *Data acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected. *Data acquisition: EECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods. ", - "license": "proprietary" - }, - { - "id": "ECO_L1B_RAD_002", - "title": "ECOSTRESS Swath Top of Atmosphere Calibrated Radiance Instantaneous L1B Global 70 m V002", - "catalog": "LPCLOUD STAC Catalog", - "state_date": "2018-07-09", - "end_date": "", - "bbox": "-180, -54, 180, 54", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2076116385-LPCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2076116385-LPCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/ECO_L1B_RAD_002", - "description": "The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally as well as key biomes and agricultural zones around the world and selected FLUXNET (http://fluxnet.fluxdata.org/about/) validation sites. A map of the acquisition coverage can be found on the ECOSTRESS website (https://ecostress.jpl.nasa.gov/science). The ECOSTRESS Swath Top of Atmosphere Calibrated Radiance Instantaneous L1B Global 70 m (ECO_L1B_RAD) Version 2 data product provides at-sensor calibrated radiance values retrieved for five thermal infrared (TIR) bands operating between 8 and 12.5 \u00b5m. Additionally, the digital numbers (DN) for the shortwave infrared (SWIR) band are provided. The TIR bands are spatially co-registered to produce a variable spatial resolution between 70 meters (m) and 90 m at the edge of the swath. The ECO_L1B_RAD data product is provided as swath data and does not contain geolocation information. The corresponding ECO_L1B_GEO (https://doi.org/10.5067/ECOSTRESS/ECO_L1B_GEO.002) data product is required to georeference the ECO_L1B_RAD data product. The geographic coverage of acquisitions for the ECO_L1B_RAD Version 2 data product extends to areas outside of those indicated on the coverage map. The ECO_L1B_RAD Version 2 data product contains layers of radiance values for the five TIR bands, DN values for the SWIR band, associated data quality indicators, and ancillary data distributed in HDF5 format. For acquisitions after May 15, 2019, data products contain data values for the 8.785 \u03bcm, 10.522 \u03bcm, and 12.001 \u03bcm (TIR) bands only. The 1.6 \u03bcm (SWIR), 8.285 \u03bcm (TIR), and 9.060 \u03bcm (TIR) bands contain fill values to accommodate direct streaming of data from the ISS. Known Issues: *Cannot perform spatial query on ECO_L1B_RAD in NASA Earthdata Search: ECO_L1B_RAD does not contain spatial attributes, so granules cannot be searched by geographic location. Users should search for ECO_L1B_RAD data products by orbit number instead. *Data acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly, temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented, and science acquisitions resumed. To optimize the new acquisition approach TIR bands 2, 4 and 5 are being downloaded. The data products are as previously, except the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023. *Data acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected. *Missing scan data/striping features: During testing, an instrument artifact was encountered in ECOSTRESS bands 1 and 5, resulting in missing values. A machine learning algorithm has been applied to interpolate missing values. For more information on the missing scan filling techniques and outcomes, see Section 3.3.2 of the User Guide. *Scan overlap: An overlap between ECOSTRESS scans results in a clear line overlap and repeating data. Additional information is available in Section 3.2 of the User Guide. *Scan flipping: Improvements to the visualization of the data to compensate for instrument orientation are discussed in Section 3.4 of the User Guide. *Data acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods.", - "license": "proprietary" - }, - { - "id": "ECO_L1CG_RAD_002", - "title": "ECOSTRESS Gridded Top of Atmosphere Calibrated Radiance Instantaneous L1C Global 70 m V002", - "catalog": "LPCLOUD STAC Catalog", - "state_date": "2018-07-09", - "end_date": "", - "bbox": "-180, -54, 180, 54", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2595678497-LPCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2595678497-LPCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/ECO_L1CG_RAD_002", - "description": "The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52\u00b0 N and 52\u00b0 S latitudes. A map of the acquisition coverage can be found on the ECOSTRESS website (https://ecostress.jpl.nasa.gov/science). The ECOSTRESS Gridded Top of Atmosphere Calibrated Radiance Instantaneous Level 1C Global 70 m (ECO_L1CG_RAD) Version 2 data product provides at-sensor calibrated radiance values retrieved for five thermal infrared (TIR) bands operating between 8 and 12.5 \u00b5m. This product is a gridded version of the ECO_L1B_RAD (https://doi.org/10.5067/ECOSTRESS/ECO_L1B_RAD.002) Version 2 data product that has been resampled by nearest neighbor, projected to a globally snapped 0.0006\u00b0 grid, and repackaged as the ECO_L1CG_RAD data product. The ECO_L1CG_RAD Version 2 data product contains 12 layers distributed in an HDF5 format file containing radiance values for the five TIR bands, associated data quality indicators, and cloud and water masks. Known Issues: *Data acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly, temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented, and science acquisitions resumed. To optimize the new acquisition approach TIR bands 2, 4, and 5 are being downloaded. The data products are as previously, except the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023. *Data acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected. *Missing scan data/striping features: During testing, an instrument artifact was encountered in ECOSTRESS bands 1 and 5, resulting in missing values. A machine learning algorithm has been applied to interpolate missing values. For more information on the missing scan filling techniques and outcomes, see Section 3.3.2 of the ECO_L1B_RAD User Guide. *Scan overlap: An overlap between ECOSTRESS scans results in a clear line overlap and repeating data. Additional information is available in Section 3.2 of the ECO_L1B_RAD User Guide. *Scan flipping: Improvements to the visualization of the data to compensate for instrument orientation are discussed in Section 3.4 of the ECO_L1B_RAD User Guide. *Data acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods.", - "license": "proprietary" - }, - { - "id": "ECO_L1CT_RAD_002", - "title": "ECOSTRESS Tiled Top of Atmosphere Calibrated Radiance Instantaneous L1C Global 70 m V002", - "catalog": "LPCLOUD STAC Catalog", - "state_date": "2018-07-09", - "end_date": "", - "bbox": "-180, -54, 180, 54", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2595678301-LPCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2595678301-LPCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/ECO_L1CT_RAD_002", - "description": "The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52\u00b0 N and 52\u00b0 S latitudes. A map of the acquisition coverage can be found on the ECOSTRESS website (https://ecostress.jpl.nasa.gov/science). The ECOSTRESS Tiled Top of Atmosphere Calibrated Radiance Instantaneous Level 1 Global 70 m (ECO_L1CT_RAD) Version 2 data product provides at-sensor calibrated radiance values retrieved for five thermal infrared (TIR) bands operating between 8 and 12.5 \u00b5m. This tiled data product is generated from the ECO_L1CG_RAD (https://doi.org/10.5067/ECOSTRESS/ECO_L1CG_RAD.002) Version 2 data product using a modified version of the Military Grid Reference System (MGRS) (https://hls.gsfc.nasa.gov/products-description/tiling-system/), which divides Universal Transverse Mercator (UTM) zones into square tiles that are 109.8 km by 109.8 km with a 70 meter (m) spatial resolution. Each ECOSTRESS pixel can be assumed to remain at the same location at each timestep within a tile. The ECO_L1CT_RAD Version 2 data product contains 12 layers distributed in Cloud Optimized GeoTIFF (COG) format consisting of separate files containing five TIR bands, associated data quality indicators, and cloud and water masks. Known Issues: *Data acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly, temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented, and science acquisitions resumed. To optimize the new acquisition approach TIR bands 2, 4, and 5 are being downloaded. The data products are as previously, except the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023. *Data acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected. *Missing scan data/striping features: During testing, an instrument artifact was encountered in ECOSTRESS bands 1 and 5, resulting in missing values. A machine learning algorithm has been applied to interpolate missing values. For more information on the missing scan filling techniques and outcomes, see Section 3.3.2 of the ECO_L1B_RAD User Guide. *Scan overlap: An overlap between ECOSTRESS scans results in a clear line overlap and repeating data. Additional information is available in Section 3.2 of the ECO_L1B_RAD User Guide. *Scan flipping: Improvements to the visualization of the data to compensate for instrument orientation are discussed in Section 3.4 of the ECO_L1B_RAD User Guide. *Data acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods.", - "license": "proprietary" - }, - { - "id": "ECO_L2G_CLOUD_002", - "title": "ECOSTRESS Gridded Cloud Mask Instantaneous L2 Global 70 m V002", - "catalog": "LPCLOUD STAC Catalog", - "state_date": "2018-07-09", - "end_date": "", - "bbox": "-180, -54, 180, 54", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2076113561-LPCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2076113561-LPCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/ECO_L2G_CLOUD_002", - "description": "The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally as well as key biomes and agricultural zones around the world and selected FLUXNET (http://fluxnet.fluxdata.org/about/) validation sites. A map of the acquisition coverage can be found on the ECOSTRESS website (https://ecostress.jpl.nasa.gov/science). The ECOSTRESS Gridded Cloud Mask Instantaneous L2 Global 70 m (ECO_L2G_CLOUD) Version 2 data product is derived using a single-channel Bayesian cloud threshold with a look-up-table (LUT) approach. The ECO_L2G_CLOUD product provides a cloud mask that can be used to determine cloud cover for accurate land surface temperature and evapotranspiration estimation. This data product is a gridded version of the ECO_L2_CLOUD Version 2 product that was resampled using nearest neighbor, projected to a globally snapped 0.0006\u00b0 grid, and repackaged as the ECO_L2G_CLOUD Version 2 data product. The ECO_L2G_CLOUD Version 2 data product contains two cloud mask layers: cloud confidence and final cloud mask. Information on how to interpret the cloud confidence and cloud mask layers is provided in Table 7 of the ECO_L2_CLOUD Version 2 User Guide. Known Issues: *Data acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly, temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented, and science acquisitions resumed. To optimize the new acquisition approach TIR bands 2, 4, and 5 are being downloaded. The data products are as previously, except the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023. *Data acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected. *Data acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods. ", - "license": "proprietary" - }, - { - "id": "ECO_L2G_LSTE_002", - "title": "ECOSTRESS Gridded Land Surface Temperature and Emissivity Instantaneous L2 Global 70 m V002", - "catalog": "LPCLOUD STAC Catalog", - "state_date": "2018-07-09", - "end_date": "", - "bbox": "-180, -54, 180, 54", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2076113037-LPCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2076113037-LPCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/ECO_L2G_LSTE_002", - "description": "The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally as well as key biomes and agricultural zones around the world and selected FLUXNET (http://fluxnet.fluxdata.org/about/) validation sites. A map of the acquisition coverage can be found on the ECOSTRESS website (https://ecostress.jpl.nasa.gov/science). The ECOSTRESS Gridded Land Surface Temperature and Emissivity Instantaneous Level 2 Global 70 m (ECO_L2G_LSTE) Version 2 data product provides atmospherically corrected land surface temperature and emissivity (LST&E) values derived from five thermal infrared (TIR) bands. The ECO_L2G_LSTE data product was derived using a physics-based Temperature and Emissivity Separation (TES) algorithm. This data product is a gridded version of the ECO_L2_LSTE (https://doi.org/10.5067/ECOSTRESS/ECO_L2_LSTE.002) Version 2 data product that was resampled using nearest neighbor, projected to a globally snapped 0.0006\u00b0 grid, and repackaged as the ECO_L2G_LSTE data product. The ECO_L2G_LSTE product is provided as gridded data and has a spatial resolution of 70 meters (m). The ECO_L2G_LSTE Version 2 data product contains 8 layers distributed in an HDF5 format file including LST, LST error, wideband emissivity, height, view zenith angle, quality flags, and cloud and water masks. For acquisitions after May 15, 2019, data products contain data values for TIR bands 2, 4, and 5 only. TIR bands 1 and 3 contain fill values to accommodate direct streaming of data from the ISS, as mentioned in the Known Issues section. LST data generated after May 15, 2019, will use only the three available bands; accuracy may be affected when compared to the LST data that utilized all five bands. Known Issues: *Data acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly, temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented, and science acquisitions resumed. To optimize the new acquisition approach TIR bands 2, 4, and 5 are being downloaded. The data products are as previously, except the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023. *Data acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected. *Data acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods. ", - "license": "proprietary" - }, - { - "id": "ECO_L2T_LSTE_002", - "title": "ECOSTRESS Tiled Land Surface Temperature and Emissivity Instantaneous L2 Global 70 m V002", - "catalog": "LPCLOUD STAC Catalog", - "state_date": "2018-07-09", - "end_date": "", - "bbox": "-180, -54, 180, 54", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2076090826-LPCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2076090826-LPCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/ECO_L2T_LSTE_002", - "description": "The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally as well as key biomes and agricultural zones around the world and selected FLUXNET (http://fluxnet.fluxdata.org/about/) validation sites. A map of the acquisition coverage can be found on the ECOSTRESS website (https://ecostress.jpl.nasa.gov/science). The ECOSTRESS Tiled Land Surface Temperature and Emissivity Instantaneous Level 2 Global 70 m (ECO_L2T_LSTE) Version 2 data product provides atmospherically corrected land surface temperature and emissivity (LST&E) values derived from five thermal infrared (TIR) bands. The ECO_L2T_LSTE data product was derived using a physics-based Temperature/Emissivity Separation (TES) algorithm. This tiled data product is subset from the ECO_L2G_LSTE data product using a modified version of the Military Grid Reference System (MGRS) which divides Universal Transverse Mercator (UTM) zones into square tiles that are 109.8 km by 109.8 km with a 70 meter (m) spatial resolution. The ECO_L2T_LSTE Version 2 data product is provided in Cloud Optimized GeoTIFF (COG) format, and each band is distributed as a separate COG. This product contains seven layers including LST, LST error, wideband emissivity, quality flags, height, and cloud and water masks. Known Issues: *Data acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly, temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented, and science acquisitions resumed. To optimize the new acquisition approach TIR bands 2, 4, and 5 are being downloaded. The data products are as previously, except the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023. *Data acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected. *Data acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods. * The User Guide for this product lists a view_zenith layer which is not included in the current version of this product. ", - "license": "proprietary" - }, - { - "id": "ECO_L2_CLOUD_002", - "title": "ECOSTRESS Swath Cloud Mask Instantaneous L2 Global 70 m V002", - "catalog": "LPCLOUD STAC Catalog", - "state_date": "2018-07-09", - "end_date": "", - "bbox": "-180, -54, 180, 54", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2076115306-LPCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2076115306-LPCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/ECO_L2_CLOUD_002", - "description": "The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally as well as key biomes and agricultural zones around the world and selected FLUXNET (http://fluxnet.fluxdata.org/about/) validation sites. A map of the acquisition coverage can be found on the ECOSTRESS website (https://ecostress.jpl.nasa.gov/science). The ECOSTRESS Swath Cloud Mask Instantaneous L2 Global 70 m (ECO_L2_CLOUD) Version 2 data product is derived using a single-channel Bayesian cloud threshold with a look-up-table (LUT) approach. The ECOSTRESS Level 2 cloud product provides a cloud mask that can be used to determine cloud cover for accurate land surface temperature and evapotranspiration estimation. The corresponding ECO_L1B_GEO (https://doi.org/10.5067/ECOSTRESS/ECO_L1B_GEO.002) data product is required to georeference the ECO_L2_CLOUD data product. The ECO_L2_CLOUD Version 2 data product contains two cloud mask layers: Brightness temperature LUT test and Final cloud mask. Information on how to interpret the bit fields in the cloud mask is provided in Table 7 of the User Guide. Known Issues: *Data acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly, temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented, and science acquisitions resumed. To optimize the new acquisition approach TIR bands 2, 4 and 5 are being downloaded. The data products are as previously, except the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023. *Data acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected. *Data acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods. ", - "license": "proprietary" - }, - { - "id": "ECO_L2_LSTE_002", - "title": "ECOSTRESS Swath Land Surface Temperature and Emissivity Instantaneous L2 Global 70 m V002", - "catalog": "LPCLOUD STAC Catalog", - "state_date": "2018-07-09", - "end_date": "", - "bbox": "-180, -54, 180, 54", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2076114664-LPCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2076114664-LPCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/ECO_L2_LSTE_002", - "description": "The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally as well as key biomes and agricultural zones around the world and selected FLUXNET (http://fluxnet.fluxdata.org/about/) validation sites. A map of the acquisition coverage can be found on the ECOSTRESS website (https://ecostress.jpl.nasa.gov/science). The ECOSTRESS Swath Land Surface Temperature and Emissivity Instantaneous L2 Global 70 m (ECO_L2_LSTE) Version 2 data product provides atmospherically corrected land surface temperature and emissivity (LST&E) values derived from five thermal infrared (TIR) bands. The ECO_L2_LSTE data product was derived using a physics-based Temperature and Emissivity Separation (TES) algorithm. The ECO_L2_LSTE is provided as swath data and has a spatial resolution of 70 meters (m). The corresponding ECO_L1B_GEO (https://doi.org/10.5067/ECOSTRESS/ECO_L1B_GEO.002) data product is required to georeference the ECO_L2_LSTE data product. The ECO_L2_LSTE Version 2 data product contains layers of LST, emissivity for bands 1 through 5, quality control for LST&E, LST error, emissivity error for bands 1 through 5, wideband emissivity, Precipitable Water Vapor (PWV), cloud mask, and water mask. For acquisitions between May 15, 2019, and April 28, 2023, data products contain data values for TIR bands 2, 4 and 5 only. TIR bands 1 and 3 contain fill values to accommodate direct streaming of data from the ISS. Known Issues: *Data acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly, temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented, and science acquisitions resumed. To optimize the new acquisition approach TIR bands 2, 4, and 5 are being downloaded. The data products are as previously, except the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023. *Data acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected. *Data acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods. ", - "license": "proprietary" - }, - { - "id": "EMITL1BATT_001", - "title": "EMIT L1B Corrected Spacecraft Attitude and Ephemeris V001", - "catalog": "LPCLOUD STAC Catalog", - "state_date": "2022-08-09", - "end_date": "", - "bbox": "-180, -54, 180, 54", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2408031090-LPCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2408031090-LPCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/EMITL1BATT_001", - "description": "The Earth Surface Mineral Dust Source Investigation (EMIT) instrument measures surface mineralogy, targeting the Earth\u2019s arid dust source regions. EMIT is installed on the International Space Station (ISS). During its one-year mission, EMIT will take mineralogical measurements of the sunlit regions of interest between 52\u00b0 N latitude and 52\u00b0 S latitude. A map of the regions being investigated can be found on the EMIT website. The EMIT Level 1B Corrected Spacecraft Attitude and Ephemeris (EMITL1BATT) Version 1 data product provides both corrected and uncorrected attitude quaternions and spacecraft ephemeris data obtained from the ISS, including Earth-centered inertial (ECI) position and velocity, and associated time elements. The data are provided in 1 second intervals, and each product file contains vectors from the duration of the orbit. The time elements are copied from the ISS raw data. The data for each EMITL1BATT granule are delivered in a single Network Common Data Format 4 (NetCDF4) file.", - "license": "proprietary" - }, - { - "id": "EMITL1BRAD_001", - "title": "EMIT L1B At-Sensor Calibrated Radiance and Geolocation Data 60 m V001", - "catalog": "LPCLOUD STAC Catalog", - "state_date": "2022-08-09", - "end_date": "", - "bbox": "-180, -54, 180, 54", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2408009906-LPCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2408009906-LPCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/EMITL1BRAD_001", - "description": "The Earth Surface Mineral Dust Source Investigation (EMIT) instrument measures surface mineralogy, targeting the Earth\u2019s arid dust source regions. EMIT is installed on the International Space Station (ISS) and uses imaging spectroscopy to take mineralogical measurements of sunlit regions of interest between 52\u00b0 N latitude and 52\u00b0 S latitude. An interactive map showing the regions being investigated, current and forecasted data coverage, and additional data resources can be found on the VSWIR Imaging Spectroscopy Interface for Open Science (VISIONS) EMIT Open Data Portal. The EMIT Level 1B At-Sensor Calibrated Radiance and Geolocation (EMITL1BRAD) Version 1 data product provides at-sensor calibrated radiance values along with observation data in a spatially raw, non-orthocorrected format. Each EMITL1BRAD granule consists of two Network Common Data Format 4 (NetCDF4) files at a spatial resolution of 60 meters (m): Radiance (EMIT_L1B_RAD) and Observation (EMIT_L1B_OBS). The Radiance file contains the at-sensor radiance measurements of 285 bands with a spectral range of 381-2493 nanometers (nm) and with a spectral resolution of ~7.5 nm, which are held within a single science dataset layer (SDS). The Observation file contains viewing and solar geometries, timing, topographic, and other information related to the observation. Each NetCDF4 file holds a location group containing geometric lookup tables (GLT), which are orthorectified images that provide relative x and y reference locations from the raw scene to allow for projection of the data. Along with the GLT layers, the files also contain latitude, longitude, and elevation layers. The latitude and longitude coordinates are presented using the World Geodetic System (WGS84) ellipsoid. The elevation data was obtained from Shuttle Radar Topography Mission v3 (SRTM v3) data and resampled to EMIT\u2019s spatial resolution. Each granule is approximately 75 kilometer (km) by 75 km, nominal at the equator, and some granules near the end of an orbit segment reaching 150 km in length.", - "license": "proprietary" - }, - { - "id": "EMITL2ARFL_001", - "title": "EMIT L2A Estimated Surface Reflectance and Uncertainty and Masks 60 m V001", - "catalog": "LPCLOUD STAC Catalog", - "state_date": "2022-08-09", - "end_date": "", - "bbox": "-180, -54, 180, 54", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2408750690-LPCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2408750690-LPCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/EMITL2ARFL_001", - "description": "The Earth Surface Mineral Dust Source Investigation (EMIT) instrument measures surface mineralogy, targeting the Earth\u2019s arid dust source regions. EMIT is installed on the International Space Station (ISS) and uses imaging spectroscopy to take mineralogical measurements of sunlit regions of interest between 52\u00b0 N latitude and 52\u00b0 S latitude. An interactive map showing the regions being investigated, current and forecasted data coverage, and additional data resources can be found on the VSWIR Imaging Spectroscopy Interface for Open Science (VISIONS) EMIT Open Data Portal. The EMIT Level 2A Estimated Surface Reflectance and Uncertainty and Masks (EMITL2ARFL) Version 1 data product provides surface reflectance data in a spatially raw, non-orthocorrected format. Each EMITL2ARFL granule consists of three Network Common Data Format 4 (NetCDF4) files at a spatial resolution of 60 meters (m): Reflectance (EMIT_L2A_RFL), Reflectance Uncertainty (EMIT_L2A_RFLUNCERT), and Reflectance Mask (EMIT_L2A_MASK). The Reflectance file contains surface reflectance maps of 285 bands with a spectral range of 381-2493 nanometers (nm) at a spectral resolution of ~7.5 nm, which are held within a single science dataset layer (SDS). The Reflectance Uncertainty file contains uncertainty estimates about the reflectance captured as per-pixel, per-band, posterior standard deviations. The Reflectance Mask file contains six binary flag bands and two data bands. The binary flag bands identify the presence of features including clouds, water, and spacecraft which indicate if a pixel should be excluded from analysis. The data bands contain estimates of aerosol optical depth (AOD) and water vapor. Each NetCDF4 file holds a location group containing a geometric lookup table (GLT) which is an orthorectified image that provides relative x and y reference locations from the raw scene to allow for projection of the data. Along with the GLT layers, the files will also contain latitude, longitude, and elevation layers. The latitude and longitude coordinates are presented using the World Geodetic System (WGS84) ellipsoid. The elevation data was obtained from Shuttle Radar Topography Mission v3 (SRTM v3) data and resampled to EMIT\u2019s spatial resolution. Each granule is approximately 75 kilometer (km) by 75 km, nominal at the equator, and some granules near the end of an orbit segment reaching 150 km in length.", - "license": "proprietary" - }, - { - "id": "EMITL2BCH4ENH_001", - "title": "EMIT L2B Methane Enhancement Data 60 m V001", - "catalog": "LPCLOUD STAC Catalog", - "state_date": "2022-08-09", - "end_date": "", - "bbox": "-180, -54, 180, 54", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2748097305-LPCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2748097305-LPCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/EMITL2BCH4ENH_001", - "description": "The Earth Surface Mineral Dust Source Investigation (EMIT) instrument measures surface mineralogy, targeting the Earth\u2019s arid dust source regions. EMIT is installed on the International Space Station (ISS) and uses imaging spectroscopy to take measurements of the sunlit regions of interest between 52\u00b0 N latitude and 52\u00b0 S latitude. An interactive map showing the regions being investigated, current and forecasted data coverage, and additional data resources can be found on the VSWIR Imaging Spectroscopy Interface for Open Science (VISIONS) EMIT Open Data Portal. In addition to its primary objective described above, EMIT has demonstrated the capacity to characterize methane (CH4) and carbon dioxide (CO2) point-source emissions by measuring gas absorption features in the short-wave infrared bands. The EMIT Level 2B Greenhouse Gas (GHG) series of products can be used to identify and quantify point source emissions. The EMIT Level 2B Methane Enhancement Data (EMITL2BCH4ENH) Version 1 data product is a total vertical column enhancement estimate of methane in parts per million meter (ppm m) based on an adaptive matched filter approach. EMITL2BCH4ENH provides per-pixel methane enhancement data used to identify methane plume complexes. The initial release of the EMITL2BCH4ENH data product will only include granules where methane plume complexes have been identified. Each granule contains one Cloud Optimized GeoTIFF (COG) file at a spatial resolution of 60 meters (m): Methane Enhancement (EMIT_L2B_CH4ENH). The EMITL2BCH4ENH file contains methane enhancement data based primarily on EMITL1BRAD radiance values. Each granule is approximately 75 kilometer (km) by 75 km, nominal at the equator, and some granules near the end of an orbit segment reaching 150 km in length.", - "license": "proprietary" - }, - { - "id": "EMITL2BCH4PLM_001", - "title": "EMIT L2B Estimated Methane Plume Complexes 60 m V001", - "catalog": "LPCLOUD STAC Catalog", - "state_date": "2022-08-09", - "end_date": "", - "bbox": "180, -54, -180, 54", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2748088093-LPCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2748088093-LPCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/EMITL2BCH4PLM_001", - "description": "The Earth Surface Mineral Dust Source Investigation (EMIT) instrument measures surface mineralogy, targeting the Earth\u2019s arid dust source regions. EMIT is installed on the International Space Station (ISS) and uses imaging spectroscopy to take measurements of the sunlit regions of interest between 52\u00b0 N latitude and 52\u00b0 S latitude. An interactive map showing the locations of methane plumes along with metadata, regions being investigated, current and forecasted data coverage, and additional data resources can be found on the VSWIR Imaging Spectroscopy Interface for Open Science (VISIONS) EMIT Open Data Portal. In addition to its primary objective described above, EMIT has demonstrated the capacity to characterize methane (CH4) and carbon dioxide (CO2) point-source emissions by measuring gas absorption features in the short-wave infrared bands. The EMIT Level 2B Greenhouse Gas (GHG) series of products can be used to identify and quantify point source emissions. The EMIT Level 2B Estimated Methane Plume Complexes (EMITL2BCH4PLM) Version 1 data product provides estimated methane plume complexes in parts per million meter (ppm m) along with uncertainty data. The EMITL2BCH4PLM data product will only be generated where methane plume complexes have been identified. To reduce the risk of false positives, all EMITL2BCH4ENH data undergo a manual review (or identification and confirmation) process before being designated as a plume complex. For more information on the manual review process, see Section 4.2.2 of the EMIT GHG Algorithm Theoretical Basis Document (ATBD). Each EMITL2BCH4PLM granule is sized to a specific plume complex but may cross multiple EMITL2BCH4ENH granules. A list of source EMITL2BCH4ENH granules is included in the GeoTIFF file metadata as well as the GeoJSON file. Each EMITL2BCH4PLM granule contains two files: one Cloud Optimized GeoTIFF (COG) file at a spatial resolution of 60 meters (m) and one GeoJSON file. The EMITL2BCH4PLM COG file contains a raster image of a methane plume complex extracted from EMITL2BCH4ENH v001 data. The EMITL2BCH4PLM GeoJSON file contains a vector outline of the plume complex, a list of source scenes, coordinates of the maximum enhancement values, and the uncertainty of the plume complex.", - "license": "proprietary" - }, - { - "id": "EMITL2BMIN_001", - "title": "EMIT L2B Estimated Mineral Identification and Band Depth and Uncertainty 60 m V001", - "catalog": "LPCLOUD STAC Catalog", - "state_date": "2022-08-09", - "end_date": "", - "bbox": "-180, -54, 180, 54", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2408034484-LPCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2408034484-LPCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/EMITL2BMIN_001", - "description": "The Earth Surface Mineral Dust Source Investigation (EMIT) instrument measures surface mineralogy, targeting the Earth\u2019s arid dust source regions. EMIT is installed on the International Space Station (ISS) and uses imaging spectroscopy to take mineralogical measurements of the sunlit regions of interest between 52\u00b0 N latitude and 52\u00b0 S latitude. An interactive map showing the regions being investigated, current and forecasted data coverage, and additional data resources can be found on the VSWIR Imaging Spectroscopy Interface for Open Science (VISIONS) EMIT Open Data Portal. The EMIT Level 2B Estimated Mineral Identification and Band Depth and Uncertainty (EMITL2BMIN) Version 1 data product provides estimated mineral identification and band depths in a spatially raw, non-orthocorrected format. Each EMITL2BMIN granule contains two Network Common Data Format 4 (NetCDF4) files at a spatial resolution of 60 meters (m): Mineral Identification (EMIT_L2B_MIN) and Mineral Uncertainty (EMIT_L2B_MINUNCERT). The EMIT_L2B_MIN file contains the band depth (the depth of the identified spectral feature) and the identified mineral for each pixel. Two spectral groups, which correspond to different regions of the spectra, are identified independently and often co-occur. These estimates are generated using the Tetracorder system (code) and are based on EMITL2ARFL reflectance values. The EMIT_L2B_MINUNCERT file provides band depth uncertainty estimates calculated using surface Reflectance Uncertainty values from the EMITL2ARFL data product. The band depth uncertainties are presented as standard deviations. The fit score for each mineral identification is also provided as the coefficient of determination (r2) of the match between the continuum normalized library reference and the continuum normalized observed spectrum. Associated metadata indicates the name and reference information for each identified mineral, and additional information about aggregating minerals into different categories is available in the emit-sds-l2b repository and will be available as subsequent data products. The EMITL2BMIN data product includes a total of 19 Science Dataset (SDS) layers. There are four layers for each of the Spectral Groups (Group 1 and Group 2): Mineral Identification, Band Depth, Band Depth Uncertainties, and Fit Score. Additional layers consist of geometric lookup table (GLT) x values, GLT y values, latitude, longitude, elevation, associated spectral library record, mineral name, URL for the spectral library description, spectral group, spectral library, and spectral group index. A browse image with Group 1 Band Depth, Group 2 Band Depth, Group 1 Band Depth Uncertainty, and Group 2 Band Depth Uncertainty is also included. Each granule is approximately 75 kilometer (km) by 75 km, nominal at the equator, and some granules near the end of an orbit segment reaching 150 km in length. Disclaimer This product is generated to support the EMIT mission objectives of constraining the sign of dust related radiative forcing. Ten mineral types are the core focus of this work: Calcite, Chlorite, Dolomite, Goethite, Gypsum, Hematite, Illite+Muscovite, Kaolinite, Montmorillonite, and Vermiculite. A future product will aggregate these results for use in Earth System Models. Additional minerals are included in this product for transparency but were not the focus of this product. Further validation is required to use these additional mineral maps, particularly in the case of resource exploration. Similarly, the separation of minerals with similar spectral features, such as a fine-grained goethite and hematite, is an area of active research. The results presented here are an initial offering, but the precise categorization is likely to evolve over time, and the limits of what can and cannot be separated on the global scale is still being explored. The user is encouraged to read the Algorithm Theoretical Basis Document (ATBD) for more details.", - "license": "proprietary" - }, - { - "id": "EN1_MDSI_MER_FRS_1P_4", - "title": "Full Resolution Full Swath Geolocated and Calibrated TOA Radiance", - "catalog": "LAADS STAC Catalog", - "state_date": "2002-05-17", - "end_date": "2012-04-08", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2151211533-LAADS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2151211533-LAADS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LAADS/collections/EN1_MDSI_MER_FRS_1P_4", - "description": "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_1P is the short-name for the MERIS Level-1 full resolution, full swath, geolocated and calibrated top-of-atmosphere (TOA) radiance product. This product contains the TOA upwelling spectral radiance measurements. The in-band reference irradiances for the 15 MERIS bands are computed by averaging the in-band solar irradiance for each pixel. Each pixel\u2019s 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.", - "license": "proprietary" - }, - { - "id": "EN1_MDSI_MER_FRS_2P_4", - "title": "Full Resolution Full Swath Geophysical Product for Ocean, Land and Atmosphere", - "catalog": "LAADS STAC Catalog", - "state_date": "2003-01-01", - "end_date": "2012-04-08", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2151219110-LAADS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2151219110-LAADS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LAADS/collections/EN1_MDSI_MER_FRS_2P_4", - "description": "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.", - "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.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", - "license": "proprietary" - }, - { - "id": "EO:EUM:CM:METOP:ASCSZFR02_2014-10-07", - "title": "ASCAT L1 SZF Climate Data Record Release 2 - Metop", - "catalog": "EUMETSAT STAC Catalog", - "state_date": "2007-01-01", - "end_date": "2014-03-31", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901388-EUMETSAT.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901388-EUMETSAT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ACM%3AMETOP%3AASCSZFR02_2014-10-07", - "description": "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). ", - "license": "proprietary" - }, - { - "id": "EO:EUM:CM:METOP:ASCSZOR02_2014-10-07", - "title": "ASCAT L1 SZO Climate Data Record Release 2 - Metop", - "catalog": "EUMETSAT STAC Catalog", - "state_date": "2007-01-01", - "end_date": "2014-03-31", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901391-EUMETSAT.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901391-EUMETSAT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ACM%3AMETOP%3AASCSZOR02_2014-10-07", - "description": "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). ", - "license": "proprietary" - }, - { - "id": "EO:EUM:CM:METOP:ASCSZRR02_2014-10-07", - "title": "ASCAT L1 SZR Climate Data Record Release 2 - Metop", - "catalog": "EUMETSAT STAC Catalog", - "state_date": "2007-01-01", - "end_date": "2014-03-31", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901394-EUMETSAT.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901394-EUMETSAT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ACM%3AMETOP%3AASCSZRR02_2014-10-07", - "description": "Reprocessed L1B data from the Advanced Scatterometer (ASCAT) on METOP-A, resampled at 12.5 km Swath Grid (SZR). 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 25 km Swath Grid. This is a Fundamental Climate Data Record (FCDR). ", - "license": "proprietary" - }, - { - "id": "EO:EUM:CM:MSG:MSGAMVE0100_2015-06-01", - "title": "Atmospheric Motion Vectors - MSG - 0 degree (CF-015 Release 1)", - "catalog": "EUMETSAT STAC Catalog", - "state_date": "2004-03-01", - "end_date": "2012-12-31", - "bbox": "-65, -65, 65, 65", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1239566336-EUMETSAT.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1239566336-EUMETSAT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ACM%3AMSG%3AMSGAMVE0100_2015-06-01", - "description": "This is the first release of the reprocessed SEVIRI Atmospheric Motion Vectors at all heights below the tropopause, derived from 4 channels (Visual 0.8, Water Vapour 6.2, Water Vapour 7.3, Infrared 10.8), all combined into one product. Vectors are derived by tracking the motion of clouds and other atmospheric constituents as water vapour patterns. The height assignment of the AMVs is calculated using the Cross-Correlation Contribution (CCC) function to determine the pixels that contribute the most to the vectors. An AMV product contains more than 30000 vectors depending of the time of the day. The final AMV product is BUFR encoded 3-hourly at every third quarter of the hour (e.g. 00:45, 01:45 ...). Note that the reprocessing was done using the latest version of the EUMETSAT software (Version 1.5.3, 2013) ingesting original level 1.5 SEVIRI images and the ECMWF ERA-interim as a as a forecast input re-analysis data. This is a Thematic Climate Data Record (TCDR).", - "license": "proprietary" - }, - { - "id": "EO:EUM:CM:MSG:MSGASRE0100_2015-06-01", - "title": "All-Sky Radiances - MSG - 0 degree (CF-015 Release 1)", - "catalog": "EUMETSAT STAC Catalog", - "state_date": "2004-03-01", - "end_date": "2012-12-31", - "bbox": "-79, -81, 79, 81", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1588876447-EUMETSAT.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1588876447-EUMETSAT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ACM%3AMSG%3AMSGASRE0100_2015-06-01", - "description": "This is the first release of the reprocessed SEVIRI All-Sky Radiances (ASR) product. The ASR product contains information on mean brightness temperatures (16x16 pixels so around 50km at nadir) from all thermal (e.g. infrared and water vapour) channels. It includes both clear and cloudy sky brightness temperatures. The ASR product also contains the fraction of clear sky and the solar zenith angle. The final ASR product is BUFR encoded 3-hourly at every third quarter of the hour (e.g. 00:45, 01:45 ...).Note that the reprocessing was done using the latest version of the EUMETSAT software (Version 1.5.3, 2013) ingesting original level 1.5 SEVIRI images and the ECMWF ERA-interim as a as a forecast input re-analysis data.", - "license": "proprietary" - }, - { - "id": "EO:EUM:CM:MSG:MSGCSKR0100_2015-06-01", - "title": "Clear Sky Radiances - MSG - 0 degree (CF-015 Release 1)", - "catalog": "EUMETSAT STAC Catalog", - "state_date": "2004-03-01", - "end_date": "2012-12-31", - "bbox": "-79, -81, 79, 81", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1239566346-EUMETSAT.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1239566346-EUMETSAT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ACM%3AMSG%3AMSGCSKR0100_2015-06-01", - "description": "This is the first release of the reprocessed SEVIRI Clear-Sky Radiances (CSR) product. The CSR product is a subset of the information derived during the Scenes Analysis processing. The product provides the brightness temperature for a subset of the MSG channels averaged over all pixels within a processing segment (16x16 pixels) which have been identified as clear (a minimum of 7 clear pixels are needed to compute the average). For the channel WV6.2 the CSR is also derived for areas containing low-level clouds. The CSR product also contains the fraction of clear sky and the solar zenith angle. The final CSR product is BUFR encoded 3-hourly at every third quarter of the hour (e.g. 00:45, 01:45 ...). Note that the reprocessing was done using the latest version of the EUMETSAT software (Version 1.5.3, 2013) ingesting original level 1.5 SEVIRI images and the ECMWF ERA-interim as a as a forecast input re-analysis data.", - "license": "proprietary" - }, - { - "id": "EO:EUM:DAT:GOES:OSIDDLI_2011-10-07", - "title": "Daily Downward Longwave Irradiance - GOES", - "catalog": "EUMETSAT STAC Catalog", - "state_date": "2011-10-06", - "end_date": "", - "bbox": "-135, -60, -15, 60", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1239566338-EUMETSAT.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1239566338-EUMETSAT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ADAT%3AGOES%3AOSIDDLI_2011-10-07", - "description": "Estimation of the Downward Longwave Irradiance reaching the Earth surface, derived from the geostationary satellite GOES-E, produced by remapping over a 0.05\u00b0 regular grid and expressed in W/m2. Algorithm is a bulk parameterization that uses NWP model outputs to calculate a clear sky Downward Longwave Irradiance (DLI), corrected according to satellite derived cloud information. The daily value is the integration of all the hourly values in the UT day.", - "license": "proprietary" - }, - { - "id": "EO:EUM:DAT:GOES:OSIDSSI_2011-10-07", - "title": "Daily Shortwave Solar Irradiance - GOES", - "catalog": "EUMETSAT STAC Catalog", - "state_date": "2011-10-06", - "end_date": "", - "bbox": "-135, -60, -15, 60", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1239566380-EUMETSAT.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1239566380-EUMETSAT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ADAT%3AGOES%3AOSIDSSI_2011-10-07", - "description": "Estimation of the solar irradiance reaching the Earth surface, derived from the geostationary satellite GOES-E, produced by remapping over a 0.05\u00b0 regular grid and expressed in W/m2. The daily value is the integration of all the hourly values in the UT day.", - "license": "proprietary" - }, - { - "id": "EO:EUM:DAT:METEOSAT:OSIDDLI_2011-10-07", - "title": "Daily Downward Longwave Irradiance - MSG", - "catalog": "EUMETSAT STAC Catalog", - "state_date": "2011-10-06", - "end_date": "", - "bbox": "-60, -60, 60, 60", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1239566367-EUMETSAT.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1239566367-EUMETSAT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ADAT%3AMETEOSAT%3AOSIDDLI_2011-10-07", - "description": "Estimation of the Downward Longwave Irradiance reaching the Earth surface, derived from the geostationary satellite Meteosat, derived at present from the 0.6\u00b5m visible channel of SEVIRI, produced by remapping over a 0.05\u00b0 regular grid and expressed in W/m2. Algorithm is a bulk parameterization that uses NWP model outputs to calculate a clear sky Downward Longwave Irradiance (DLI), corrected according to satellite derived cloud information. The daily value is the integration of all the hourly values in the UT day.", - "license": "proprietary" - }, - { - "id": "EO:EUM:DAT:METOP:ASCAT12_2010-09-06", - "title": "ASCAT Winds at 12.5 km Swath Grid - Metop", - "catalog": "EUMETSAT STAC Catalog", - "state_date": "2008-12-31", - "end_date": "2011-02-28", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901384-EUMETSAT.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901384-EUMETSAT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ADAT%3AMETOP%3AASCAT12_2010-09-06", - "description": "The ASCAT Wind Product contains measurements of the wind direction and wind speed at 10 m above the sea surface. The measurements are obtained through the processing of scatterometer data originating from the ASCAT instrument on EUMETSAT's Metop satellite, as described in the ASCAT Wind Product User Manual. Note that up until 2011-02-28, a wind-only version of this product in BUFR and netCDF formats was available via EUMETCast and the EUMETSAT Data Centre. From that date on, the wind values can be found in BUFR and netCDF formats in the ASCAT multi-parameter products (collection reference: EO:EUM:DAT:METOP:OAS012 and EO:EUM:DAT:METOP:OAS025). It is recommended that the reprocessed ASCAT winds data records (EO:EUM:DAT:METOP:OSI-150-B, EO:EUM:DAT:METOP:OSI-150-A) are used instead of this archived NRT product.", - "license": "proprietary" - }, - { - "id": "EO:EUM:DAT:METOP:ASCAT25_2010-09-06", - "title": "ASCAT Winds at 25 km Swath Grid - Metop", - "catalog": "EUMETSAT STAC Catalog", - "state_date": "2007-10-15", - "end_date": "2011-02-28", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214560143-EUMETSAT.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214560143-EUMETSAT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ADAT%3AMETOP%3AASCAT25_2010-09-06", - "description": "The ASCAT Wind Product contains measurements of the wind direction and wind speed at 10 m above the sea surface. The measurements are obtained through the processing of scatterometer data originating from the ASCAT instrument on EUMETSAT's Metop satellite, as described in the ASCAT Wind Product User Manual. Note that up until 2011-02-28, a wind-only version of this product in BUFR and netCDF formats was available via EUMETCast and the EUMETSAT Data Centre. From that date on, the wind values can be found in BUFR format in the ASCAT multi-parameter products (collection reference: EO:EUM:DAT:METOP:OAS012 and EO:EUM:DAT:METOP:OAS025). It is recommended that the reprocessed ASCAT winds data records (EO:EUM:DAT:METOP:OSI-150-B, EO:EUM:DAT:METOP:OSI-150-A) are used instead of this archived NRT product.", - "license": "proprietary" - }, - { - "id": "EO:EUM:DAT:METOP:ASCSZF1B_2010-09-21", - "title": "ASCAT GDS Level 1 Sigma0 at Full Sensor Resolution - Metop", - "catalog": "EUMETSAT STAC Catalog", - "state_date": "2007-05-31", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901397-EUMETSAT.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901397-EUMETSAT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ADAT%3AMETOP%3AASCSZF1B_2010-09-21", - "description": "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 consists of geo-located radar backscatter values along the six ASCAT beams. The different beam measurements are not collocated into a regular swath grid and the individual measurements are not spatially averaged. The resolution of each of the 255 backscatter values per each beam varies slightly along the beam, but it is approximately 10km (in the along beam direction) x 25 km (across the beam). This product is usually referred to as 'ASCAT Level 1B Full resolution product'. Note that some of the data are reprocessed. Please refer to the associated product validation reports or product release notes for further information.", - "license": "proprietary" - }, - { - "id": "EO:EUM:DAT:METOP:ASCSZO1B_2010-09-21", - "title": "ASCAT GDS Level 1 Sigma0 resampled at 25 km Swath Grid - Metop", - "catalog": "EUMETSAT STAC Catalog", - "state_date": "2007-03-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901403-EUMETSAT.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901403-EUMETSAT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ADAT%3AMETOP%3AASCSZO1B_2010-09-21", - "description": "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. The product is available from the archive in 2 different spatial resolutions; 25 km and 12.5 km. Note that some of the data are reprocessed. Please refer to the associated product validation reports or product release notes for further information. Near real-time distribution discontinued on 29/09/2015 but the product contents are now available in the corresponding Level 2 product 'ASCAT Soil Moisture at 25 km Swath Grid'.", - "license": "proprietary" - }, - { - "id": "EO:EUM:DAT:METOP:ASCSZR1B_2010-09-21", - "title": "ASCAT GDS Level 1 Sigma0 resampled at 12.5 km Swath Grid - Metop", - "catalog": "EUMETSAT STAC Catalog", - "state_date": "2007-03-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901400-EUMETSAT.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901400-EUMETSAT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ADAT%3AMETOP%3AASCSZR1B_2010-09-21", - "description": "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. The product is available from the archive in 2 different spatial resolutions; 25 km and 12.5 km. Note that some of the data are reprocessed. Please refer to the associated product validation reports or product release notes for further information. Near real-time distribution discontinued on 29/09/2015 but the product contents are now available in the corresponding Level 2 product 'ASCAT Soil Moisture at 12.5 km Swath Grid'.", - "license": "proprietary" - }, - { - "id": "EO:EUM:DAT:METOP:OSI-104_2011-09-28", - "title": "ASCAT Coastal Winds at 12.5 km Swath Grid - Metop", - "catalog": "EUMETSAT STAC Catalog", - "state_date": "1970-01-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901378-EUMETSAT.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901378-EUMETSAT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ADAT%3AMETOP%3AOSI-104_2011-09-28", - "description": "Equivalent neutral 10m winds over the global oceans, with specific sampling to provide as many observations as possible near the coasts. Better than using this archived NRT product, please use the reprocessed ASCAT winds data records (EO:EUM:DAT:METOP:OSI-150-A, EO:EUM:DAT:METOP:OSI-150-B).", - "license": "proprietary" - }, - { - "id": "EO:EUM:DAT:METOP:SOMO12_2010-06-21", - "title": "ASCAT Soil Moisture at 12.5 km Swath Grid - Metop", - "catalog": "EUMETSAT STAC Catalog", - "state_date": "2007-06-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901376-EUMETSAT.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901376-EUMETSAT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ADAT%3AMETOP%3ASOMO12_2010-06-21", - "description": "The Surface Soil Moisture L2 product is derived from the Advanced SCATterometer (ASCAT) data and given in swath geometry. This product provides an estimate of the water saturation of the 5 cm topsoil layer, in relative units between 0 and 100 [%]. The algorithm used to derive this parameter is based on a linear relationship of soil moisture and scatterometer backscatter and uses change detection techniques to eliminate the contributions of vegetation, land cover and surface topography, considered invariant from year to year. Seasonal vegetation effects are modelled by exploiting the multiple viewing capabilities of ASCAT. The processor has been developed by the Institute of Photogrammetry and Remote Sensing of the Vienna University of Technology. Note that some of the data are reprocessed. Please refer to the associated product validation reports or product release notes for further information.", - "license": "proprietary" - }, - { - "id": "EO:EUM:DAT:METOP:SOMO25_2010-06-21", - "title": "ASCAT Soil Moisture at 25 km Swath Grid - Metop", - "catalog": "EUMETSAT STAC Catalog", - "state_date": "2007-06-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901374-EUMETSAT.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901374-EUMETSAT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ADAT%3AMETOP%3ASOMO25_2010-06-21", - "description": "The Surface Soil Moisture L2 product is derived from the Advanced SCATterometer (ASCAT) data and given in swath geometry. This product provides an estimate of the water saturation of the 5 cm topsoil layer, in relative units between 0 and 100 [%]. The algorithm used to derive this parameter is based on a linear relationship of soil moisture and scatterometer backscatter and uses change detection techniques to eliminate the contributions of vegetation, land cover and surface topography, considered invariant from year to year. Seasonal vegetation effects are modelled by exploiting the multiple viewing capabilities of ASCAT. The processor has been developed by the Institute of Photogrammetry and Remote Sensing of the Vienna University of Technology. Note that some of the data are reprocessed. Please refer to the associated product validation reports or product release notes for further information.", - "license": "proprietary" - }, - { - "id": "EO:EUM:DAT:MULT:AHL-DLI_2011-11-29", - "title": "Atlantic High Latitude Downward Longwave Irradiance - Multimission", - "catalog": "EUMETSAT STAC Catalog", - "state_date": "2012-11-16", - "end_date": "", - "bbox": "-90, 50, 90, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1239566351-EUMETSAT.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1239566351-EUMETSAT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ADAT%3AMULT%3AAHL-DLI_2011-11-29", - "description": "Daily averaged estimation of the Downward Longwave Irradiance reaching the Earth surface, derived from AVHRR on NOAA and Metop polar orbiting satellites. The product covers the Atlantic High Latitudes, is delivered on a 5km polar stereographic grid and expressed in W/m2.", - "license": "proprietary" - }, - { - "id": "EO:EUM:DAT:MULT:AHL-SSI_2011-11-29", - "title": "Atlantic High Latitude Surface Shortwave Irradiance - Multimission", - "catalog": "EUMETSAT STAC Catalog", - "state_date": "2012-11-16", - "end_date": "", - "bbox": "-90, 50, 90, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1239566383-EUMETSAT.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1239566383-EUMETSAT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ADAT%3AMULT%3AAHL-SSI_2011-11-29", - "description": "Daily averaged estimation of the Surface Shortwave Irradiance reaching the Earth surface, derived from AVHRR on NOAA and Metop polar orbiting satellites. The product covers the Atlantic High Latitudes, is delivered on a 5km polar stereographic grid and expressed in W/m2.", - "license": "proprietary" - }, - { - "id": "EO:EUM:DAT:MULT:AHL-SST_2011-11-29", - "title": "Atlantic High Latitude Sea Surface Temperature - Multimission", - "catalog": "EUMETSAT STAC Catalog", - "state_date": "2012-11-16", - "end_date": "", - "bbox": "-90, 50, 90, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1239566384-EUMETSAT.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1239566384-EUMETSAT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ADAT%3AMULT%3AAHL-SST_2011-11-29", - "description": "Calculation of underskin temperature (\u00b0C) with multispectral algorithm. The product covers the Atlantic High Latitudes and is delivered twice daily on a 5km polar stereographic grid.", - "license": "proprietary" - }, - { - "id": "ERS-1_L0_1", - "title": "ERS-1_LEVEL0", - "catalog": "ASF STAC Catalog", - "state_date": "1991-08-08", - "end_date": "1997-09-29", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1210197768-ASF.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1210197768-ASF.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections/ERS-1_L0_1", - "description": "ERS-1 Standard Beam Level 0 Frame", - "license": "proprietary" - }, - { - "id": "ERS-1_L1_1", - "title": "ERS-1_LEVEL1", - "catalog": "ASF STAC Catalog", - "state_date": "1991-08-08", - "end_date": "1997-09-29", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1211627521-ASF.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1211627521-ASF.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections/ERS-1_L1_1", - "description": "ERS-1 Standard Beam Data Level 1", - "license": "proprietary" - }, - { - "id": "FIFE_AF_DET_G_5_1", - "title": "Aircraft Flux-Detrended: Univ. Col. (FIFE)", - "catalog": "ORNL_DAAC STAC Catalog", - "state_date": "1987-05-26", - "end_date": "1989-10-31", - "bbox": "-102, 37, -95, 40", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179003494-ORNL_DAAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179003494-ORNL_DAAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/FIFE_AF_DET_G_5_1", - "description": "Detrended boundary layer fluxes recorded on aircraft flights over the Konza", - "license": "proprietary" - }, - { - "id": "FIFE_AF_DET_K_4_1", - "title": "Aircraft Flux-Detrended: U of Wy. (FIFE)", - "catalog": "ORNL_DAAC STAC Catalog", - "state_date": "1987-08-11", - "end_date": "1989-10-31", - "bbox": "-102, 37, -95, 40", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179003698-ORNL_DAAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179003698-ORNL_DAAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/FIFE_AF_DET_K_4_1", - "description": "Detrended boundary layer fluxes recorded on aircraft flights over the Konza", - "license": "proprietary" - }, - { - "id": "FIFE_AF_DET_M_3_1", - "title": "Aircraft Flux-Detrended: NRCC (FIFE)", - "catalog": "ORNL_DAAC STAC Catalog", - "state_date": "1987-06-26", - "end_date": "1989-10-31", - "bbox": "-102, 37, -95, 40", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179003112-ORNL_DAAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179003112-ORNL_DAAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/FIFE_AF_DET_M_3_1", - "description": "Detrended boundary layer fluxes recorded on aircraft flights over the Konza", - "license": "proprietary" - }, - { - "id": "FIFE_AF_FLT_G_8_1", - "title": "Aircraft Flux-Filtered: Univ. Col. (FIFE)", - "catalog": "ORNL_DAAC STAC Catalog", - "state_date": "1987-05-26", - "end_date": "1989-10-31", - "bbox": "-102, 37, -95, 40", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179003697-ORNL_DAAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179003697-ORNL_DAAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/FIFE_AF_FLT_G_8_1", - "description": "Filtered boundary layer fluxes recorded on aircraft flights over the Konza", - "license": "proprietary" - }, - { - "id": "FIFE_AF_FLT_K_7_1", - "title": "Aircraft Flux-Filtered: U of Wy. (FIFE)", - "catalog": "ORNL_DAAC STAC Catalog", - "state_date": "1987-08-11", - "end_date": "1989-10-31", - "bbox": "-102, 37, -95, 40", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179003237-ORNL_DAAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179003237-ORNL_DAAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/FIFE_AF_FLT_K_7_1", - "description": "Filtered boundary layer fluxes recorded on aircraft flights over the Konza", - "license": "proprietary" - }, - { - "id": "FIFE_AF_FLT_M_6_1", - "title": "Aircraft Flux-Filtered: NRCC (FIFE)", - "catalog": "ORNL_DAAC STAC Catalog", - "state_date": "1987-06-26", - "end_date": "1989-10-31", - "bbox": "-102, 37, -95, 40", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179002951-ORNL_DAAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179002951-ORNL_DAAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/FIFE_AF_FLT_M_6_1", - "description": "Filtered boundary layer fluxes recorded on aircraft flights over the Konza", - "license": "proprietary" - }, - { - "id": "FIFE_AF_RAW_G_11_1", - "title": "Aircraft Flux-Raw: Univ. Col. (FIFE)", - "catalog": "ORNL_DAAC STAC Catalog", - "state_date": "1987-05-26", - "end_date": "1989-10-31", - "bbox": "-102, 37, -95, 40", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179002741-ORNL_DAAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179002741-ORNL_DAAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/FIFE_AF_RAW_G_11_1", - "description": "Raw (unmodified) boundary layer fluxes recorded on aircraft flights over Konza", - "license": "proprietary" - }, - { - "id": "FIFE_AF_RAW_K_10_1", - "title": "Aircraft Flux-Raw: U of Wy. (FIFE)", - "catalog": "ORNL_DAAC STAC Catalog", - "state_date": "1987-08-11", - "end_date": "1989-10-31", - "bbox": "-102, 37, -95, 40", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179002883-ORNL_DAAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179002883-ORNL_DAAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/FIFE_AF_RAW_K_10_1", - "description": "Raw (unmodified) boundary layer fluxes recorded on aircraft flights over Konza", - "license": "proprietary" - }, - { - "id": "FIFE_AF_RAW_M_9_1", - "title": "Aircraft Flux-Raw: NRCC (FIFE)", - "catalog": "ORNL_DAAC STAC Catalog", - "state_date": "1987-06-26", - "end_date": "1989-10-31", - "bbox": "-102, 37, -95, 40", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179003273-ORNL_DAAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179003273-ORNL_DAAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/FIFE_AF_RAW_M_9_1", - "description": "Raw (unmodified) boundary layer fluxes recorded on aircraft flights over Konza", - "license": "proprietary" - }, - { - "id": "FIFE_AMS_DATA_12_1", - "title": "AMS (Automated Met Station) Data (FIFE)", - "catalog": "ORNL_DAAC STAC Catalog", - "state_date": "1987-05-01", - "end_date": "1989-11-10", - "bbox": "-96.61, 38.98, -96.47, 39.12", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179003615-ORNL_DAAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179003615-ORNL_DAAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/FIFE_AMS_DATA_12_1", - "description": "30 minute average meteorological data from NCARs Portable Automated Mesonet Station", - "license": "proprietary" - }, - { - "id": "FIFE_RAIN_30M_2_1", - "title": "30 Minute Rainfall Data (FIFE)", - "catalog": "ORNL_DAAC STAC Catalog", - "state_date": "1987-05-29", - "end_date": "1987-10-26", - "bbox": "-96.6, 39.08, -96.55, 39.11", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179002914-ORNL_DAAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179002914-ORNL_DAAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/FIFE_RAIN_30M_2_1", - "description": "30 minute rainfall data for the Konza Prairie", - "license": "proprietary" - }, - { - "id": "FIFE_STRM_15M_1_1", - "title": "15 Minute Stream Flow Data: USGS (FIFE)", - "catalog": "ORNL_DAAC STAC Catalog", - "state_date": "1984-12-25", - "end_date": "1988-03-04", - "bbox": "-96.6, 39.1, -96.6, 39.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179003030-ORNL_DAAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179003030-ORNL_DAAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/FIFE_STRM_15M_1_1", - "description": "USGS 15 minute stream flow data for Kings Creek on the Konza Prairie", - "license": "proprietary" - }, - { - "id": "G01378_1", - "title": "Airborne Surface Profiling of Alaskan Glaciers, 1994 - 2001, Version 1", - "catalog": "NSIDCV0 STAC Catalog", - "state_date": "1994-05-01", - "end_date": "2001-06-30", - "bbox": "-149.25, 57, -132.33, 61.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2205521521-NSIDCV0.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2205521521-NSIDCV0.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections/G01378_1", - "description": "This data set consists of glacier outline, laser altimetry profile, and surface elevation change data for 46 glaciers in Alaska and British Columbia, Canada, measured with an airborne laser altimetry system. Six glaciers in the Alaska Range of central Alaska, two glaciers in the Wrangell Mountains of southcentral Alaska, 11 glaciers in the Chugach Mountains of southcentral Alaska, five glaciers in the Chigmit Mountains of southcentral Alaska, 13 glaciers in the Kenai Mountains of southcentral Alaska (comprising the Harding Icefield), one glacier in the St. Elias Mountains of southeast Alaska, one glacier in the Takhinsha Mountains of southeast Alaska, and seven glaciers in the Coast Mountains of southeast Alaska and British Columbia were profiled between 1994 and 2001. Surface elevation profiles are accurate to about 0.3 m. Long-term elevation changes can be estimated by comparison of these profiles with existing maps.", - "license": "proprietary" - }, - { - "id": "G02191_1", - "title": "AIDJEX Beaufort Sea Upward Looking Sonar April 1976, Version 1", - "catalog": "NSIDCV0 STAC Catalog", - "state_date": "1976-04-07", - "end_date": "1976-04-10", - "bbox": "-155, 70, -137, 76", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206523-NSIDCV0.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206523-NSIDCV0.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections/G02191_1", - "description": "This data contains Upward Looking Sonar (ULS) profiles of the underside of the Arctic pack ice along three transects whose total length is 777 nautical miles. The data were obtained by the USS Gurnard (SSN-662), a U.S. Navy submarine, on a traverse of the AIDJEX Main Experiment area in the Beaufort Sea from 07 April 1976 to 10 April 1976. The sea ice thickness derived from the ULS is given in feet. The data are in a single ASCII text file: Aidjex_04_1976_uls.txt. The data in this text file are not formatted into columns; all data are presented in one long row separated by spaces. Little is known about the format of the file, so caution should be used when working with the data. NSIDC is providing this data as part of our effort to preserve historical data. The data file begins with nine values that appear to be header information. These nine values include latitude and longitude values along with other unknown values. After the header, there are approximately 2100 measurements of what NSIDC believes is sea ice thickness in feet, however it is unclear how often these measurements were taken. After these 2100 values, another header of nine values occurs followed again by 2100 measurements. The file continues in this pattern through the remainder of the file. Users with information about the contents of the file are encouraged to contact NSIDC User Services. Two supporting documents that provide some background have been scanned and included as PDF files. These are AIDJEX_ULS_background.pdf and AIDJEX_ULS_format.pdf. These data are available via FTP. Note: These data are in a raw format with unknown fields and are being provided as is for preservation purposes. A processed version of the data are available in the Submarine Upward Looking Sonar Ice Draft Profile Data and Statistics data set.", - "license": "proprietary" - }, - { - "id": "G5NR_1", - "title": "GEOS-5 Nature Run data", - "catalog": "NCCS STAC Catalog", - "state_date": "2005-05-15", - "end_date": "2007-06-16", - "bbox": "-180, 90, 179.9375, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1634215803-NCCS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1634215803-NCCS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NCCS/collections/G5NR_1", - "description": "This specific GEOS-5 model configuration used to perform a two-year global, non-hydrostatic mesoscale simulation for the period 2005-2007 at 7-km (3.5-km in the future) horizontal resolution. Because this simulation is intended to serve as a reference Nature Run for Observing System Simulation Experiments (OSSEs, e.g., Errico et al., 2012) it will be referred to as the 7-km GEOS-5 Nature Run or 7-km G5NR. This simulation has been performed with the Ganymed version of GEOS- 5, more specifically with CVS Tag wmp-Ganymed-4_0_BETA8. In addition to standard meteorological parameters (wind, temperature, moisture, surface pressure), this simulation includes 15 aerosol tracers (dust, sea-salt, sulfate, black and organic carbon), O3, CO and CO2. This model simulation is driven by prescribed sea-surface temperature and sea-ice, as well as surface emissions and uptake of aerosols and trace gases, including daily volcanic and biomass burning emissions, biogenic sources and sinks of CO2, and high-resolution inventories of anthropogenic sources.The simulation is performed at a horizontal resolution of 7 km using a cubed-sphere horizontal grid with 72 vertical levels, extending up to to 0.01 hPa (~ 80 km). For user convenience, all data products are generated on two logically rectangular longitude-latitude grids: a full-resolution 0.0625o grid that approximately matches the native cubed-sphere resolution, and another 0.5o reduced-resolution grid. The majority of the full-resolution data products are instantaneous with some fields being time-averaged. The reduced-resolution datasets are mostly time-averaged, with some fields being instantaneous. Hourly data intervals are used for the reduced-resolution datasets, while 30-minute intervals are used for the full-resolution products. All full-resolution output is on the model\u2019s native 72-layer hybrid sigma-pressure vertical grid, while the reduced-resolution output is given on native vertical levels and on 48 pressure surfaces extending up to 0.02 hPa. Section 4 presents additional details on horizontal and vertical grids. ", - "license": "proprietary" - }, - { - "id": "GE01_MSI_L1B_1", - "title": "GeoEye-1 Level 1B Multispectral 4-Band Satellite Imagery", - "catalog": "CSDA STAC Catalog", - "state_date": "2009-01-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2471470251-CSDA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2471470251-CSDA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CSDA/collections/GE01_MSI_L1B_1", - "description": "The GeoEye-1 Level 1B Multispectral 4-Band L1B Satellite Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery is collected by the GeoEye-1 satellite using the GeoEye-1 Imaging System across the global land surface from September 2008 to the present. This satellite imagery is in the visible and near-infrared waveband range with data in the blue, green, red, and near-infrared wavelengths. The imagery has a spatial resolution of 1.84m at nadir (1.65m before summer 2013) and has 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.", - "license": "proprietary" - }, - { - "id": "GE01_Pan_L1B_1", - "title": "GeoEye-1 Level 1B Panchromatic Satellite Imagery", - "catalog": "CSDA STAC Catalog", - "state_date": "2009-09-18", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2497510652-CSDA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2497510652-CSDA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CSDA/collections/GE01_Pan_L1B_1", - "description": "The GeoEye-1 Level 1B Panchromatic Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery is collected by the GeoEye-1 satellite using the GeoEye-1 Imaging System across the global land surface from September 2008 to the present. This data product includes panchromatic imagery with a spatial resolution of 0.46m at nadir (0.41m before summer 2013) 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.", - "license": "proprietary" - }, - { - "id": "GEOS FP_1", - "title": "GEOS Forward Processing", - "catalog": "NCCS STAC Catalog", - "state_date": "2014-02-20", - "end_date": "", - "bbox": "-180, 90, 179.6875, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1634094157-NCCS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1634094157-NCCS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NCCS/collections/GEOS%20FP_1", - "description": "The GEOS FP Atmospheric Data Assimilation System (GEOS ADAS) uses an analysis developed jointly with NOAA\u2019s National Centers for Environmental Prediction (NCEP), which allows the Global Modeling and Assimilation Office (GMAO) to take advantage of the developments at NCEP and the Joint Center for Satellite Data Assimilation (JCSDA). The GEOS AGCM uses the finite-volume dynamics (Lin, 2004) integrated with various physics packages (e.g, Bacmeister et al., 2006), under the Earth System Modeling Framework (ESMF) including the Catchment Land Surface Model (CLSM) (e.g., Koster et al., 2000). The GSI analysis is a three-dimensional variational (3DVar) analysis applied in grid-point space to facilitate the implementation of anisotropic, inhomogeneous covariances (e.g., Wu et al., 2002; Derber et al., 2003). The GSI implementation for GEOS FP incorporates a set of recursive filters that produce approximately Gaussian smoothing kernels and isotropic correlation functions. The GEOS ADAS is documented in Rienecker et al. (2008). More recent updates to the model are presented in Molod et al. (2011). The GEOS system actively assimilates roughly 2 \u00b4 106 observations for each analysis, including about 7.5 \u00b4 105 AIRS radiance data. The input stream is roughly twice this volume, but because of the large volume, the data are thinned commensurate with the analysis grid to reduce the computational burden. Data are also rejected from the analysis through quality control procedures designed to detect, for example, the presence of cloud. To minimize the spurious periodic perturbations of the analysis, GEOS FP uses the Incremental Analysis Update (IAU) technique developed by Bloom et al. (1996).", - "license": "proprietary" - }, - { - "id": "GEOS-CF Products_1", - "title": "GEOS CF (Composition Forecast)", - "catalog": "NCCS STAC Catalog", - "state_date": "2018-01-01", - "end_date": "", - "bbox": "-180, 90, 179.5, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1633930911-NCCS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1633930911-NCCS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NCCS/collections/%20GEOS-CF%20Products_1", - "description": "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).", - "license": "proprietary" - }, - { - "id": "GGD222_1", - "title": "Active layer and permafrost properties, including snow depth, soil temperature, and soil moisture, Barrow, Alaska, Version 1", - "catalog": "NSIDCV0 STAC Catalog", - "state_date": "1962-01-01", - "end_date": "1993-12-31", - "bbox": "-156.78872, 71.29058, -156.78872, 71.29058", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206550-NSIDCV0.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206550-NSIDCV0.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections/GGD222_1", - "description": "This data set contains soil temperature, soil moisture, thaw depth, and snow depth data collected at test sites near Barrow, Alaska, during the following years. Soil temperature data - 1963-1966, 1993 Soil moisture data - 1963 Thaw depth - 1962-1968, 1991-1993 Snow depth - 1963-1964 This study focused on characterizing the active soil layer at Barrow, and determining the relationships between and among these physical properties at permafrost sites in the Arctic. This site is U1 of the IPA's Circumpolar Active Layer Monitoring (CALM) Program and later measurements are available at the CALM Web site.", - "license": "proprietary" - }, - { - "id": "GGD239_1", - "title": "Active layer physical processes at Broeggerhalvoya, western Spitsbergen, Version 1", - "catalog": "NSIDCV0 STAC Catalog", - "state_date": "1985-07-01", - "end_date": "1986-06-30", - "bbox": "12.462, 78.958, 12.462, 78.958", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206556-NSIDCV0.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206556-NSIDCV0.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections/GGD239_1", - "description": "These data have been collected from an Arctic desert site (latitude 78o57'29N, longitude 12o27'42E), Broeggerhalvoya in western Spitsbergen, 10 km NW from Ny Alesund, 45 m above sea level, 2 km from the shore. This is a low relief tip of a bedrock peninsula covered with several meters of glacial drift and reworked raised beach ridges. The measurements are obtained in the site of well developed patterned ground, sorted polygons, where the influence of plants, including thermal insulation and transpiration, is negligible. The 1985-1986 period was average. Mean annual air temperature was -6.6 C, 0.4 C colder than the long-term (1975-1990) mean, but well within the mean variability. Mean winter air temperature is relatively warm (mean of coldest month, February, is -14.6 C). Annual precipitation was 17 % greater than the ong-term mean (372 mm); however, the number of rain-on-snow events was less (3) than average (5.5). Overall, the reference period is close to long-term averages. A program of automated soil temperature recordings was initiated in the summer of 1984, at a patterned ground field site Thermistors were placed approximately 0.1 m apart in an epoxy-filled PVC rod (18 mm outside diameter), buried in the center of a fine-grained domain of a sorted circle, down to 1.14 m below the ground surface. The data presented here covers 7/1/85-7/1/86, once a day (6 am), at two levels (0.0 m, 1.145 m below surface). The resolution of the thermistors is 0.004 C, and the accuracy is estimated to be 0.02 C near 0 C. Missing data accounts for less than 7 %. The gaps are filled with simple average of the beginning and end of the gap values. For a detailed description of the field site and data analysis see Putkonen (1997) and Hallet and Prestrud (1986). These data are presented on the CAPS Version 1.0 CD-ROM, June 1998.", - "license": "proprietary" - }, - { - "id": "GGD23_1", - "title": "Active-Layer and Permafrost Temperatures, Sisimiut (Holsteinsborg), Greenland, Version 1", - "catalog": "NSIDCV0 STAC Catalog", - "state_date": "1967-09-01", - "end_date": "1982-08-31", - "bbox": "-53.64, 66.94, -53.64, 66.94", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206552-NSIDCV0.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206552-NSIDCV0.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections/GGD23_1", - "description": "This data set contains active-layer and permafrost temperatures from Sisimiut, west Greenland, recorded from 18 sensors at depths of 0.25 m, 0.5 m, 0.75 m, 1 m, 1.25 m, 1.5 m, 1.75 m, 2 m, 2.5 m, 3 m, 3.5 m, 4 m, 4.5 m, 5 m, 6 m, 7 m, 8 m, and 9 m below the surface. Snow depth, snow extent, and surface air temperature were also recorded. Thermometers recorded temperatures once a day from September 1967 to August 1982; however, this data set only contains bi-weekly averages. Data are in tab-delimited ASCII text format and are available via FTP.", - "license": "proprietary" - }, - { - "id": "GGD249_1", - "title": "Active layer thickness and ground temperatures, Svea, Svalbard, Version 1", - "catalog": "NSIDCV0 STAC Catalog", - "state_date": "1987-07-01", - "end_date": "1996-05-31", - "bbox": "16.683, 77.9, 16.683, 77.9", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206575-NSIDCV0.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206575-NSIDCV0.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections/GGD249_1", - "description": "Snow and soil temperature records for January 1988 - May 1996 are presented. Included are snow depth and weight measurements, snow density (calculated), active layer depth in the frost tubes, weight of wet and dried soil samples from unknown depth within the active layer (water content calculated), and soil temperature at the surface (0.05 cm) and to the depths of 3 to 4 meters at 3 sites. The sites are 1) on a road covered by 1 m of gravel underlain by clay; 2) outside a building on piles, (sensors are placed 1 to 2 m from the building wall); and 3) under the building between piles. In addition, air temperature was measured inside the building or between the piles (documentation is not clear on this point.) There are several gaps in temperature measurements (January 1991 to May 1992). These data are presented on the CAPS CD-ROM version 1.0, June 1998. Air temperature, wind direction, and temperature were measured at 5, 20, 50, 100, 150, and 200 cm below the tundra surface at an undisturbed site; and at 5, 20, 50, 100, 150, 200 cm, and 3 m and 8 m below the concrete surface of a building. Incoming radiation, outgoing radiation, temperature of the heat flux instrument, global radiation, heat flux, wind speed, wind speed maximum, average wind speed, and temperature inside the building were measured since 1993 with data loggers. All data are recorded for July 1987 - February 1996.", - "license": "proprietary" - }, - { - "id": "GGD353_6", - "title": "Active Layer Monitoring, Arctic and Subarctic Canada, Version 6", - "catalog": "NSIDCV0 STAC Catalog", - "state_date": "1991-01-01", - "end_date": "2007-12-31", - "bbox": "-134.95, 61.883, -121.6, 69.717", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206842-NSIDCV0.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206842-NSIDCV0.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections/GGD353_6", - "description": "This project involves measuring regional and site variability in maximum annual active layer development and vertical surface movement over permafrost, and monitoring sites over time in order to observe trends. The project records maximum thaw penetration, maximum heave and subsidence, late season snow depths, current depth of thaw, elevation, and soil properties. Some sites are twinned with soil- and air-temperature recording equipment. The project includes about 60 monitoring stations extending from Fort Simpson, Canada, in the upper Mackenzie River valley to the Beaufort Sea coast at North Head, Richards Island, Canada. Ten of the sites are part of the IPA's Circumpolar Active Layer Monitoring (CALM) Program. CALM site numbers are in parentheses after the site names: North Head (C3), Taglu (C4), Lousy Point (C5), Reindeer Depot (C7), Rengleng River (C8), Mountain River (C9), Norman Wells (C11), Ochre River (C13), Willowlake River (C14), and Fort Simpson (C15). See the CALM Program Web page for geographic coordinates and site history for all CALM sites. These data are the property of the people of Canada and the responsibility of the Geological Survey of Canada. If published, adequate acknowledgment is expected. Please contact F. M. Nixon regarding use of the data set or access to the extended data.", - "license": "proprietary" - }, - { - "id": "GGD611_1", - "title": "Air Temperatures at High Altitude, Kanchanjunga Himal, Eastern Nepal, Version 1", - "catalog": "NSIDCV0 STAC Catalog", - "state_date": "1998-11-04", - "end_date": "1999-11-17", - "bbox": "87.933, 27.65, 88.067, 27.8", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206883-NSIDCV0.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206883-NSIDCV0.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections/GGD611_1", - "description": "This data set provides air temperature (1.5 m above ground surface) data from the Kanchanjunga Himal, eastern Nepal. Air temperature was monitored from November 1998 to November 1999 at three locations (Tengkoma, Lhonak, and Ghunsa) at altitudes of 3410, 4750 and 6012 m ASL. Although temperature was measured at one-hour intervals, only daily mean values are provided.", - "license": "proprietary" - }, - { - "id": "GGD622_1", - "title": "Active-Layer Depth of a Finnish Palsa Bog, Version 1", - "catalog": "NSIDCV0 STAC Catalog", - "state_date": "1993-09-08", - "end_date": "2002-10-14", - "bbox": "27.17, 69.82, 27.17, 69.82", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206889-NSIDCV0.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206889-NSIDCV0.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections/GGD622_1", - "description": "This data set contains 76 active-layer depth measurements (cm) of the Vaisje\u00e4ggi palsa bog, Finland, from 08 September 1993 to 14 October 2002. Data were collected from a single location at 69 deg 49'16.6' N, 27 deg 10'17.1' E. Data also contain snow depth (cm) when snow cover was present. Data are in tab-delimited ASCII text format, and are available via ftp.", - "license": "proprietary" - }, - { - "id": "GGD632_1", - "title": "Active-Layer and Permafrost Temperatures, Soendre Stroemfjord, Greenland, Version 1", - "catalog": "NSIDCV0 STAC Catalog", - "state_date": "1967-09-06", - "end_date": "1976-02-15", - "bbox": "50.8, 67, 50.8, 67", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206903-NSIDCV0.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386206903-NSIDCV0.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections/GGD632_1", - "description": "This data set contains active-layer and permafrost temperatures from two stations in Soendre Stroemfjord, Greenland. Snow depth and snow extent were also recorded. Thermometers at Station A (67 deg N, 50.8 deg W, 50 m asl) recorded temperatures once a day from September 1967 to February 1976. Thermometers at Station B (67 deg N, 50.8 deg W, 38 m asl) recorded temperatures once a day from September 1967 to August 1970; however, only bi-weekly averages are given for Station B. Data are in tab-delimited ASCII text format and are available via FTP.", - "license": "proprietary" - }, - { - "id": "GISS-CMIP5_1", - "title": "GISS ModelE2 contributions to the CMIP5 archive", - "catalog": "NCCS STAC Catalog", - "state_date": "0850-01-01", - "end_date": "2100-12-31", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1542315069-NCCS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1542315069-NCCS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NCCS/collections/GISS-CMIP5_1", - "description": "We present a description of the ModelE2 version of the Goddard Institute for Space Studies (GISS) General Circulation Model (GCM) and the configurations used in the simulations performed for the Coupled Model Intercomparison Project Phase 5 (CMIP5). We use six variations related to the treatment of the atmospheric composition, the calculation of aerosol indirect effects, and ocean model component. Specifically, we test the difference between atmospheric models that have noninteractive composition, where radiatively important aerosols and ozone are prescribed from precomputed decadal averages, and interactive versions where atmospheric chemistry and aerosols are calculated given decadally varying emissions. The impact of the first aerosol indirect effect on clouds is either specified using a simple tuning, or parameterized using a cloud microphysics scheme. We also use two dynamic ocean components: the Russell and HYbrid Coordinate Ocean Model (HYCOM) which differ significantly in their basic formulations and grid. Results are presented for the climatological means over the satellite era (1980-2004) taken from transient simulations starting from the preindustrial (1850) driven by estimates of appropriate forcings over the 20th Century. Differences in base climate and variability related to the choice of ocean model are large, indicating an important structural uncertainty. The impact of interactive atmospheric composition on the climatology is relatively small except in regions such as the lower stratosphere, where ozone plays an important role, and the tropics, where aerosol changes affect the hydrological cycle and cloud cover. While key improvements over previous versions of the model are evident, these are not uniform across all metrics.", - "license": "proprietary" - }, - { - "id": "GLOBAL_LITTER_CARBON_NUTRIENTS_1244_1", - "title": "A Global Database of Litterfall Mass and Litter Pool Carbon and Nutrients", - "catalog": "ORNL_DAAC STAC Catalog", - "state_date": "1827-01-01", - "end_date": "1997-12-31", - "bbox": "-156.7, -54.5, 176.2, 72.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1227811476-ORNL_DAAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1227811476-ORNL_DAAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/GLOBAL_LITTER_CARBON_NUTRIENTS_1244_1", - "description": "Measurement data of aboveground litterfall and littermass and litter carbon, nitrogen, and nutrient concentrations were extracted from 685 original literature sources and compiled into a comprehensive database to support the analysis of global patterns of carbon and nutrients in litterfall and litter pools. Data are included from sources dating from 1827 to 1997. The reported data include the literature reference, general site information (description, latitude, longitude, and elevation), site climate data (mean annual temperature and precipitation), site vegetation characteristics (management, stand age, ecosystem and vegetation-type codes), annual quantities of litterfall (by class, kg m-2 yr-1), litter pool mass (by class and litter layer, kg m-2), and concentrations of nitrogen (N), phosphorus (P), and base cations for the litterfall (g m-2 yr-1) and litter pool components (g m-2). The investigators intent was to compile a comprehensive data set of individual direct field measurements as reported by researchers. While the primary emphasis was on acquiring C data, measurements of N, P, and base cations were also obtained, although the database is sparse for elements other than C and N. Each of the 1,497 records in the database represents a measurement site. Replicate measurements were averaged according to conventions described in Section 5 and recorded for each site in the database. The sites were at 575 different locations. ", - "license": "proprietary" - }, - { - "id": "GMAO-CMIP5_1", - "title": "GMAO Decadal Analysis & Prediction for CMIP5", - "catalog": "NCCS STAC Catalog", - "state_date": "1961-01-01", - "end_date": "2019-12-31", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1542704969-NCCS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1542704969-NCCS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NCCS/collections/GMAO-CMIP5_1", - "description": "Studies of change and variations on decadal timescales are essential for planning satellite missions that seek to improve our understanding of linkages among various components of the Earth System. Decadal predictions using a version of the GEOS-5 AOGCM were contributed to the CMIP5 project. The dataset include a three-member ensemble initialized on December 1 of each year from 1960 to 2010. These data are available, with the designation NASA GMAO, from the CMIP5 Archive at NASA NCCS.", - "license": "proprietary" - }, - { - "id": "GOMIGEO_002", - "title": "MISR Geometric Parameters subset for the GoMACCS region V002", - "catalog": "LARC STAC Catalog", - "state_date": "2006-07-30", - "end_date": "2006-10-17", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1625796320-LARC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1625796320-LARC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections/GOMIGEO_002", - "description": "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.", - "license": "proprietary" - }, - { - "id": "Global_Microbial_Biomass_C_N_P_1264_1", - "title": "A Compilation of Global Soil Microbial Biomass Carbon, Nitrogen, and Phosphorus Data", - "catalog": "ORNL_CLOUD STAC Catalog", - "state_date": "1977-11-16", - "end_date": "2012-06-01", - "bbox": "-180, -90, 177.9, 79", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2216863966-ORNL_CLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2216863966-ORNL_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/Global_Microbial_Biomass_C_N_P_1264_1", - "description": "This data set provides the concentrations of soil microbial biomass carbon (C), nitrogen (N) and phosphorus (P), soil organic carbon, total nitrogen, and total phosphorus at biome and global scales. The data were compiled from a comprehensive survey of publications from the late 1970s to 2012 and include 3,422 data points from 315 papers. These data are from soil samples collected primarily at 0-15 cm depth with some from 0-30 cm. In addition, data were compiled for soil microbial biomass concentrations from soil profile samples to depths of 100 cm. Sampling site latitude and longitude were available for the majority of the samples that enabled assembling additional soil properties, site characteristics, vegetation distributions, biomes, and long-term climate data from several global sources of soil, land-cover, and climate data. These site attributes are included with the microbial biomass data. This data set contains two *.csv files of the soil microbial biomass C, N, P data. The first provides all compiled results emphasizing the full spatial extent of the data, while the second is a subset that provides only data from a series of profile samples emphasizing the vertical distribution of microbial biomass concentrations.There is a companion file, also in .csv format, of the references for the surveyed publications. A reference_number relates the data to the respective publication.The concentrations of soil microbial biomass, in combination with other soil databases, were used to estimate the global storage of soil microbial biomass C and N in 0-30 cm and 0-100 cm soil profiles. These storage estimates were combined with a spatial map of 12 major biomes (boreal forest, temperate coniferous forest, temperate broadleaf forest, tropical and subtropical forests, mixed forest, grassland, shrub, tundra, desert, natural wetland, cropland, and pasture) at 0.05-degree by 0.5-degree spatial resolution. The biome map and six estimates of C and N storage and C:N ration in soil microbial biomass are provided in a single netCDF format file. ", - "license": "proprietary" - }, - { - "id": "Global_Phosphorus_Hedley_Fract_1230_1", - "title": "A Global Database of Soil Phosphorus Compiled from Studies Using Hedley Fractionation", - "catalog": "ORNL_CLOUD STAC Catalog", - "state_date": "1985-01-01", - "end_date": "2010-12-31", - "bbox": "-117.86, -42.5, 117.6, 63.23", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2216863440-ORNL_CLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2216863440-ORNL_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/Global_Phosphorus_Hedley_Fract_1230_1", - "description": "This data set provides concentrations of soil phosphorus (P) compiled from the peer-reviewed literature that cited the Hedley fractionation method (Hedley and Stewart, 1982). This database contains estimates of different forms of naturally occurring soil phosphorus, including labile inorganic P, organic P, occluded P, secondary mineral P, apatite P, and total P, based on the analyses of the various Hedley soil fractions.The recent literature survey (Yang and Post, 2011) was restricted to studies of natural, unfertilized, and uncultivated soils since 1995. Ninety measurements of soil P fractions were identified. These were added to the 88 values from soils in natural ecosystems that Cross and Schlesinger (1995) had compiled. Cross and Schlesinger provided a comprehensive survey on Hedley P data prior to 1995. Measurement data are provided for studies published from 1985 through 2010. In addition to the Hedley P fraction measurement data Yang and Post (2011) also compiled information on soil order, soil pH, organic carbon and nitrogen content, as well as the geographic location (longitude and latitude) of the measurement sites. ", - "license": "proprietary" - }, - { - "id": "Global_RTSG_Flux_1078_1", - "title": "A Global Database of Gas Fluxes from Soils after Rewetting or Thawing, Version 1.0", - "catalog": "ORNL_CLOUD STAC Catalog", - "state_date": "1956-01-01", - "end_date": "2009-12-31", - "bbox": "-149.63, -36.45, 160.52, 74.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2216863284-ORNL_CLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2216863284-ORNL_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/Global_RTSG_Flux_1078_1", - "description": "This database contains information compiled from published studies on gas flux from soil following rewetting or thawing. The resulting database includes 222 field and laboratory observations focused on rewetting of dry soils, and 116 field laboratory observations focused on thawing of frozen soils studies conducted from 1956 to 2010. Fluxes of carbon dioxide, methane, nitrous oxide, nitrogen oxide, and ammonia (CO2, CH4, N2O, NO and NH3) were compiled from the literature and the flux rates were normalized for ease of comparison. Field observations of gas flux following rewetting of dry soils include events caused by natural rainfall, simulated rainfall in natural ecosystems, and irrigation in agricultural lands. Similarly, thawing of frozen soils include field observations of natural thawing, simulated freezing-thawing events (i.e., thawing of simulated frozen soil by snow removal), and thawing of seasonal ice in temperate and high latitude regions (Kim et al., 2012). Reported parameters include experiment type, location, site type, vegetation, climate, soil properties, rainfall, soil moisture, soil gas flux after wetting and thawing, peak soil gas flux properties, and the corresponding study references. There is one comma-delimited data file. ", - "license": "proprietary" - }, - { - "id": "GreenBay_0", - "title": "2010 Measurements made in Green Bay, Wisconsin", - "catalog": "OB_DAAC STAC Catalog", - "state_date": "2010-09-17", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360352-OB_DAAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360352-OB_DAAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/OB_DAAC/collections/GreenBay_0", - "description": "Measurements made in Green Bay, Wisconsin in 2010.", - "license": "proprietary" - }, - { - "id": "IKONOS_MSI_L1B_1", - "title": "IKONOS Level 1B Multispectral 4-Band Satellite Imagery", - "catalog": "CSDA STAC Catalog", - "state_date": "1999-10-14", - "end_date": "2015-03-31", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2497453433-CSDA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2497453433-CSDA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CSDA/collections/IKONOS_MSI_L1B_1", - "description": "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.", - "license": "proprietary" - }, - { - "id": "IKONOS_Pan_L1B_1", - "title": "IKONOS Level 1B Panchromatic Satellite Imagery", - "catalog": "CSDA STAC Catalog", - "state_date": "1999-10-24", - "end_date": "2015-03-31", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2497468825-CSDA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2497468825-CSDA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CSDA/collections/IKONOS_Pan_L1B_1", - "description": "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.", - "license": "proprietary" - }, - { - "id": "IMS1_HYSI_GEO_1.0", - "title": "IMS-1 HYSI TOA Radiance and Reflectance Product", - "catalog": "ISRO STAC Catalog", - "state_date": "2008-06-22", - "end_date": "2012-09-10", - "bbox": "-6.0364, -78.8236, 152.6286, 78.6815", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214622602-ISRO.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214622602-ISRO.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ISRO/collections/IMS1_HYSI_GEO_1.0", - "description": "The data received from IMS1, HySI which operates in 64 spectral bands in VNIR bands(400-900nm) with 500 meter spatial resolution and swath of 128 kms.", - "license": "proprietary" - }, - { - "id": "ISERV_1", - "title": "International Space Station SERVIR Environmental Research and Visualization System V1", - "catalog": "USGS_EROS STAC Catalog", - "state_date": "2013-03-27", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1379906336-USGS_EROS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1379906336-USGS_EROS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/USGS_EROS/collections/ISERV_1", - "description": "Abstract: The ISS SERVIR Environmental Research and Visualization System (ISERV) acquired images of the Earth's surface from the International Space Station (ISS). The goal was to improve automatic image capturing and data transfer. ISERV's main component was the optical assembly which consisted of a 9.25 inch Schmidt-Cassegrain telescope, a focal reducer (field of view enlarger), a digital single lens reflex camera, and a high precision focusing mechanism. A motorized 2-axis pointing mount allowed pointing at targets approximately 23 degrees from nadir in both along- and across-track directions.", - "license": "proprietary" - }, - { - "id": "IXBMIB2E_3", - "title": "MISR L1B2 Ellipsoid Product subset for the INTEX-B region V003", - "catalog": "LARC STAC Catalog", - "state_date": "2006-02-28", - "end_date": "2006-04-03", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000300-LARC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000300-LARC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections/IXBMIB2E_3", - "description": "This file contains Ellipsoid-projected TOA Radiance,resampled at the surface and topographically corrected, as well as geometrically corrected by PGE22 for the INTEXB_2006 theme.", - "license": "proprietary" - }, - { - "id": "IXBMIB2T_3", - "title": "MISR L1B2 Terrain Product subset for the INTEX-B region V003", - "catalog": "LARC STAC Catalog", - "state_date": "2006-02-28", - "end_date": "2006-04-03", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000281-LARC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000281-LARC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections/IXBMIB2T_3", - "description": "This file contains Terrain-projected TOA Radiance,resampled at the surface and topographically corrected, as well as geometrically corrected by PGE22 for the INTEXB_2006 theme.", - "license": "proprietary" - }, - { - "id": "IXBMIGEO_2", - "title": "MISR Geometric Parameters subset for the INTEX-B region V002", - "catalog": "LARC STAC Catalog", - "state_date": "2006-02-28", - "end_date": "2006-04-03", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000301-LARC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000301-LARC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections/IXBMIGEO_2", - "description": "This file contains the Geometric Parameters which measure the sun and view angles at the reference ellipsoid for the INTEXB_2006 theme.", - "license": "proprietary" - }, - { - "id": "K1VHR_L02_OLR_Not provided", - "title": "KALPANA-1 Level-2B Outgoing Longwave Radiation", - "catalog": "ISRO STAC Catalog", - "state_date": "2008-05-06", - "end_date": "", - "bbox": "0.843296, -81.04153, 163.15671, 81.04153", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214622569-ISRO.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214622569-ISRO.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ISRO/collections/K1VHR_L02_OLR_Not%20provided", - "description": "Kalpana-1 VHRR Level-2B Outgoing Longwave Radation (OLR) in HDF-5 Format", - "license": "proprietary" - }, - { - "id": "KOPRI-KPDC-00000003_1", - "title": "2003 Seismic Data, Antarctica", - "catalog": "AMD_KOPRI STAC Catalog", - "state_date": "2003-12-14", - "end_date": "2003-12-17", - "bbox": "-49.883889, -61.230056, -46.487694, -59.500833", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2244294883-AMD_KOPRI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2244294883-AMD_KOPRI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/AMD_KOPRI/collections/KOPRI-KPDC-00000003_1", - "description": "Korean Antarctic survey carried out as part of step 3 project in year 4 of \u2018The Antarctic Undersea Geological Survey\u2019 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.", - "license": "proprietary" - }, - { - "id": "KOPRI-KPDC-00000004_1", - "title": "2002 Seismic Data, Antarctica", - "catalog": "AMD_KOPRI STAC Catalog", - "state_date": "2002-12-18", - "end_date": "2002-12-21", - "bbox": "-50.500417, -60.016, -47.001556, -59.247", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2244294924-AMD_KOPRI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2244294924-AMD_KOPRI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/AMD_KOPRI/collections/KOPRI-KPDC-00000004_1", - "description": "Korean Antarctic survey carried out as part of step 3 project in year 3 of \u2018The Antarctic Undersea Geological Survey\u2019 was conducted in the Powell Basin(\u2162) of the northern Weddell Sea, Antarctica. The research period was from 16 Dec. to 23 Dec. (8 days) in 2002. After geophysical research including acquisition of multi-channel seismic data as well as geomagnatic data, a drilling investigation was conducted in coring point was decided from combined geophysical data. We took on lease Russian \"Yuzhmorgeologiya\"(5500 ton, ice strengthed vessel) and 7 researchers from \u2018Korea Ocean Research and Development Institute\u2019 participated in the cruise.", - "license": "proprietary" - }, - { - "id": "KOPRI-KPDC-00000005_1", - "title": "2001 Seismic Data, Antarctica", - "catalog": "AMD_KOPRI STAC Catalog", - "state_date": "2001-12-15", - "end_date": "2001-12-19", - "bbox": "-52.37845, -62.5604, -49.249567, -59.814483", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2244294933-AMD_KOPRI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2244294933-AMD_KOPRI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/AMD_KOPRI/collections/KOPRI-KPDC-00000005_1", - "description": "Korean Antarctic survey carried out as part of step 3 project in year 2 of \u2018The Antarctic Undersea Geological Survey\u2019 was conducted in the Powell Basin of the northern Weddell Sea, Antarctica. The research period was from 15 Dec. to 21 Dec. (7 days) in 2001. After geophysical research including acquisition of multichannel seismic data as well as geomagnatic data, a drilling investigation was conducted in coring point was decided from combined geophysical data. 10 researchers from \u2018Korea Ocean Research and Development Institute\u2019 and an out-of-the-way researcher participated in the cruise. We took on lease Russian \"Yuzhmorgeologiya\".", - "license": "proprietary" - }, - { - "id": "KOPRI-KPDC-00000007_1", - "title": "2000 Seismic Data, Antarctica", - "catalog": "AMD_KOPRI STAC Catalog", - "state_date": "2000-12-04", - "end_date": "2000-12-08", - "bbox": "-52.378444, -62.5604, -49.249567, -59.814639", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2244292500-AMD_KOPRI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2244292500-AMD_KOPRI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/AMD_KOPRI/collections/KOPRI-KPDC-00000007_1", - "description": "Korean Antarctic survey carried out as part of step 3 project in year 1 of \u2018The Antarctic Undersea Geological Survey\u2019 was conducted in the Powell Basin of the northern Weddell Sea, Antarctica. The research period was from 3 Dec. to 11 Dec. (9 days) in 2000. After geophysical research including acquisition of seismic data, submarine topography, geomagnatic data was conducted in coring point was decided from combined geophysical data. We took on lease Russian icebreaker \"Yuzhmorgeologiya\" and 13 researcher from \u2018Korea Ocean Research and Development Institute\u2019 including a field winter researcher in the cruise. Due to a lot of icebergs and floating ice in the area, the originally planned survey of the side lines is impossible. A survey was conducted on the modified side lines.", - "license": "proprietary" - }, - { - "id": "KOPRI-KPDC-00000008_1", - "title": "1998 Seismic Data, Antarctica", - "catalog": "AMD_KOPRI STAC Catalog", - "state_date": "1998-12-07", - "end_date": "1998-12-11", - "bbox": "-66.266667, -64.616667, -64.416667, -62.995", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2244292774-AMD_KOPRI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2244292774-AMD_KOPRI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/AMD_KOPRI/collections/KOPRI-KPDC-00000008_1", - "description": "Korean Antarctic survey carried out as part of step 2 project in year 2 of 'the Antarctic Undersea Geological Survey' was conducted in the \u2161 region around the northwestern continent of the Antarctic Peninsula. This area is northwest of Anvers Island, including areas around the pericontinent from the continental shelf to the continental rise zone. The investigation period for this project took a total of 8 days for moving navigation, the survey of the side lines and drilling investigation. After seismic investigation, a surface drilling investigation was conducted in coring point was decided from the reference seismic section. 10 researcher from \u2018Korea Ocean Research and Development Institute\u2019 participated in the field survey. We took on lease Russian icebreaker \"Yuzhmorgeologiya\".", - "license": "proprietary" - }, - { - "id": "KOPRI-KPDC-00000009_1", - "title": "1997 Seismic Data, Antarctica", - "catalog": "AMD_KOPRI STAC Catalog", - "state_date": "1997-12-23", - "end_date": "1997-12-28", - "bbox": "-64.699722, -63.525, -62.157778, -62.041389", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2244293126-AMD_KOPRI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2244293126-AMD_KOPRI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/AMD_KOPRI/collections/KOPRI-KPDC-00000009_1", - "description": "Korean Antarctic survey carried out as part of step 2 project in year 1 of \u2018The Antarctic Undersea Geological Survey\u2019 in 1997 was conducted in a continental shelf in the northwestern part of the Antarctic Peninsula. The research period took a total of 8 days, including 6 days for the seismic survey and 2 days for the drilling investigation. We took on lease Norway R/V 'Polar Duke' and 10 researchers from \u2018Korea Ocean Research and Development Institute\u2019 participated as field investigation personnel. The Teac single-channel recorder, EPC Recorder, Q/C MicroMax system etc. was used mainly by Sleeve gun used as a sound source, compressor for creating compressed air, DFS-V Recorder for multi-channel Seismic record, 12 \u2013channel geophone of seismic streamers. Additional Gravity Core was used for sediment research through drilling.", - "license": "proprietary" - }, - { - "id": "KOPRI-KPDC-00000011_1", - "title": "1996 Seismic Data, Antarctica", - "catalog": "AMD_KOPRI STAC Catalog", - "state_date": "1996-12-17", - "end_date": "1996-12-26", - "bbox": "-62.766667, -63.583333, -60.233333, -62.733333", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2244293499-AMD_KOPRI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2244293499-AMD_KOPRI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/AMD_KOPRI/collections/KOPRI-KPDC-00000011_1", - "description": "Korean Antarctic survey carried out as in year 3 project of 'the Antarctic Undersea Geological Survey' was conducted in the basin region of western part of the Bransfeed Strait between the Antarctic Peninsula and the South Shetland Islands . During the field investigation, the seismic investigation and the drilling investigation was conducted at the same time. The investigation period took 9 days. 10 researchers from \u2018Korea Ocean Research and Development Institute\u2019 and 3 academic personnel participated in the cruise as field investigation personnel. We took on lease Russian R/V \"Yuzhmorgeologiya\" which is marine geology, geophysical survey vessel and Icebreaker.", - "license": "proprietary" - }, - { - "id": "KOPRI-KPDC-00000012_1", - "title": "1995 Seismic Data, Antarctica", - "catalog": "AMD_KOPRI STAC Catalog", - "state_date": "1995-12-13", - "end_date": "1995-12-18", - "bbox": "-58.335, -62.984444, -54.101944, -61.301111", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2244291641-AMD_KOPRI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2244291641-AMD_KOPRI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/AMD_KOPRI/collections/KOPRI-KPDC-00000012_1", - "description": "Korean Antarctic survey carried out as in year 2 project of \"Antarctic submarine topography and sediment investigation\", The Field Survey of Antarctica was conducted at the end of 1995 was conducted the multi-channel Seismic Investigation and the drilling Investigation in the eastern part of the Bransfield Strait between the Antarctic Peninsula and the South Shetland Islands and near Sejong Station. We took on lease Russian R/V \"Yuzhmorgeologiya\" which is marine geology, geophysical survey vessel and Icebreaker for field investigation.", - "license": "proprietary" - }, - { - "id": "KOPRI-KPDC-00000014_1", - "title": "1994 Seismic Data, Antarctica", - "catalog": "AMD_KOPRI STAC Catalog", - "state_date": "1994-12-19", - "end_date": "1994-12-27", - "bbox": "-59.352778, -63.060278, -56.167778, -62.030833", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2244291414-AMD_KOPRI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2244291414-AMD_KOPRI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/AMD_KOPRI/collections/KOPRI-KPDC-00000014_1", - "description": "Korean Antarctic survey carried out as in year 1 of 'the Antarctic Undersea Geological Survey' was conducted at the end of 1994 was conducted Multi-channel Seismic Investgation and Drilling investigation in the central basin of the Bransfield Strait was located in between the Antarctic Peninsula and the South Shetland Islands and the Maxwell Bay area near Sejong Station. The field research was conducted wih other research at the same time. The research period was from 11 Dec. in 1994 to 23 Jan. in 1995 (13 days). - Korean Antarctic survey carried out as part of step 1 project in year 1 to investigate the possibility of oil resources in the Bransfield Strait of Antarctica. - Securing data for tectonic settings research in the same region. - Obtaining basic data for understanding marine geology and sedimentary layers in the same region.", - "license": "proprietary" - }, - { - "id": "KOPRI-KPDC-00000015_1", - "title": "1999 Seismic Data, Antarctica", - "catalog": "AMD_KOPRI STAC Catalog", - "state_date": "1999-12-29", - "end_date": "2000-01-01", - "bbox": "-69.238889, -65.787222, -66.314722, -63.994444", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2244293812-AMD_KOPRI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2244293812-AMD_KOPRI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/AMD_KOPRI/collections/KOPRI-KPDC-00000015_1", - "description": "Korean Antarctic survey carried out as part of step 2 project in year 3 of 'The Antarctic Undersea Geological Survey' in 1999 was conducted in the periphery of the continent near Anvers Island in the northwestern part of the Antarctic Peninsula. The research period was from 27 Dec. in 1999 to 3 Jan. in 2000 (8 days). After a geophysical survey was conducted to obtain data such as seismic, submarine topography, gravity, terrestrial magnetism, drilling investigation was conducted in the coring point was decided from combined geophysics data. 13 researchers from \u2018Korea Ocean Research and Development Institute\u2019 and an out-of-the-way researcher participated for field investigation members. We used a 'Onnuri', of 'the Korea Ocean Research Institute' to be used for Antarctic research since 1993.", - "license": "proprietary" - }, - { - "id": "KOPRI-KPDC-00000043_1", - "title": "2000 Sediment Core, Antarctica", - "catalog": "AMD_KOPRI STAC Catalog", - "state_date": "2000-12-08", - "end_date": "2000-12-10", - "bbox": "-68.527222, -65.264722, -66.956111, -64.021389", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2244294957-AMD_KOPRI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2244294957-AMD_KOPRI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/AMD_KOPRI/collections/KOPRI-KPDC-00000043_1", - "description": "Korean Antarctic survey was conducted in the northern Powell Basin of the Weddell Sea. The research period was from 3 Nov. to 11 Dec. (9 days) in 2000. We took on lease Russian R/V \"Yuzhmorgeologiya\" (5500 ton, ice strengthed vessel) and 12 researchers participated in the cruise, including the acquisition of multichannel seismic, bathymetry, and magnetometer as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic and SBP surveys) 2. Paleoceanographic researches", - "license": "proprietary" - }, - { - "id": "KOPRI-KPDC-00000044_1", - "title": "2001 Sediment Core, Antarctica", - "catalog": "AMD_KOPRI STAC Catalog", - "state_date": "2001-12-19", - "end_date": "2001-12-21", - "bbox": "-58.026667, -61.925556, -52.468056, -60.802778", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2244294981-AMD_KOPRI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2244294981-AMD_KOPRI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/AMD_KOPRI/collections/KOPRI-KPDC-00000044_1", - "description": "Korean Antarctic survey was conducted in the northern Powell Basin of the Weddell Sea. The research period was from 15 Dec. to 21 Dec. (7 days) in 2001. We took on lease Russian R/V \"Yuzhmorgeologiya\" (5500 ton, ice strengthed vessel) and 11 researchers participated in the cruise, including acquisition of multichannel seismic and magnetometer as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic and SBP surveys) 2. Paleoceanographic researches", - "license": "proprietary" - }, - { - "id": "KOPRI-KPDC-00000045_1", - "title": "2002 Sediment Core, Antarctica", - "catalog": "AMD_KOPRI STAC Catalog", - "state_date": "2002-12-21", - "end_date": "2002-12-22", - "bbox": "-51.625833, -62.175, -49.593889, -60.658889", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2244294992-AMD_KOPRI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2244294992-AMD_KOPRI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/AMD_KOPRI/collections/KOPRI-KPDC-00000045_1", - "description": "Korean Antarctic survey was conducted in the Powell Basin (III region) of the northern Weddell Sea. The research period was from 16 Dec. to 23 Dec. (8 days) in 2002. We took on lease Russian R/V \"Yuzhmorgeologiya\" (5500 ton, ice strengthed vessel) and 7 researchers participated in the cruise, including acquisition of multichannel seismic as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic and SBP surveys) 2. Paleoceanographic researches", - "license": "proprietary" - }, - { - "id": "KOPRI-KPDC-00000046_1", - "title": "2003 Sediment Core, Antarctica", - "catalog": "AMD_KOPRI STAC Catalog", - "state_date": "2003-12-18", - "end_date": "2003-12-19", - "bbox": "-49.607778, -59.492778, -49.607778, -59.492778", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2244295005-AMD_KOPRI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2244295005-AMD_KOPRI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/AMD_KOPRI/collections/KOPRI-KPDC-00000046_1", - "description": "Korean Antarctic survey was conducted in the Powell Basin (IV region) of the northern Weddell Sea. The research period was from 24 Nov. to 9 Dec. (15 days) in 2003. We took on lease Russian R/V \"Yuzhmorgeologiya\" (5500 ton, ice strengthed vessel) and 12 researchers participated in the cruise, including acquisition of multichannel seismic as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic and SBP surveys) 2. Paleoceanographic researches", - "license": "proprietary" - }, - { - "id": "KOPRI-KPDC-00000051_1", - "title": "1994 Sediment Core, Antarctica", - "catalog": "AMD_KOPRI STAC Catalog", - "state_date": "1994-12-31", - "end_date": "1995-01-02", - "bbox": "-58.026667, -62.42, -57.739722, -62.32", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2244291543-AMD_KOPRI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2244291543-AMD_KOPRI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/AMD_KOPRI/collections/KOPRI-KPDC-00000051_1", - "description": "For the first year of study \"The Antarctic Undersea Geological Survey\", The Field Survey of Antarctica was conducted at the end of 1994 was conducted multi-channel seismic Investigation and drilling Investigation in the central basin of the Bransfield Strait was located in between the south Shetland Islands and the Antarctic peninsula and Maxwell bay area near Sejong Station. The field investigation was conducted research projects at the same time took 13 days from 11 Dec. in 1994 to 23 Jan. in 1995. - Korean Antarctic survey carried out as part of step 1 project in year 1 to investigate the possibility of oil resources in the Bransfield Strait of Antarctica. - Securing data for tectonic settings research in the same region. - Obtaining basic data for understanding marine geology and sedimentary layers in the same region.", - "license": "proprietary" - }, - { - "id": "KOPRI-KPDC-00000052_1", - "title": "1995 Sediment Core, Antarctica", - "catalog": "AMD_KOPRI STAC Catalog", - "state_date": "1995-12-19", - "end_date": "1995-12-23", - "bbox": "-55.951111, -61.969167, -55.051111, -61.951111", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2244291581-AMD_KOPRI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2244291581-AMD_KOPRI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/AMD_KOPRI/collections/KOPRI-KPDC-00000052_1", - "description": "Korean Antarctic survey was conducted in the east basin of the Bransfield Strait between the Antarctic peninsula and south Shetland Islands and Maxwell Bay located at Sejong Station was conducted multi-channel seismic investigation and drilling investigation. We took on lease Russian \"Yuzhmorgeologiya\"(5500 ton, ice strengthed vessel) which is marine geology, geophysical survey vessel and Icebreaker for field investigation.", - "license": "proprietary" - }, - { - "id": "KOPRI-KPDC-00000053_1", - "title": "1996 Sediment Core, Antarctica", - "catalog": "AMD_KOPRI STAC Catalog", - "state_date": "1996-12-16", - "end_date": "1996-12-16", - "bbox": "-60.151944, -62.100278, -59.717778, -62.051389", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2244291950-AMD_KOPRI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2244291950-AMD_KOPRI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/AMD_KOPRI/collections/KOPRI-KPDC-00000053_1", - "description": "Korean Antarctic survey was conducted in west of the Bransfeed Strait, a basin between the Antarctic Peninsula and the south Shetland Islands. It tooks 9 days. seismic investigation and drilling investigation were conducted at the same time during the field survey. We took on lease Russian R/V \"Yuzhmorgeologiya\" which is marine geology, geophysical survey vessel and Icebreaker and 10 researchers from \u2018Korea Ocean Research and Development Institute\u2019 and 3 academic personnel participated in the cruise as field investigation personnel.", - "license": "proprietary" - }, - { - "id": "KOPRI-KPDC-00000054_1", - "title": "1997 Sediment Core, Antarctica", - "catalog": "AMD_KOPRI STAC Catalog", - "state_date": "1997-12-28", - "end_date": "1997-12-29", - "bbox": "-63.396667, -63.886111, -62.700833, -62.536389", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2244292254-AMD_KOPRI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2244292254-AMD_KOPRI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/AMD_KOPRI/collections/KOPRI-KPDC-00000054_1", - "description": "Korean Antarctic survey was conducted in 1997 carried out in a continental shelf in the northwestern part of the Antarctic Peninsula. It took 2 days. We took on lease Norway R/V 'Polar Duke' and 11 researchers from \u2018Korea Ocean Research and Development Institute\u2019 participated as field investigation personnel. The Teac single-channel recorder, EPC Recorder, Q/C MicroMax system etc. was used mainly by Sleeve gun used as a sound source, compressor for creating compressed air, DFS-V Recorder for multi-channel Seismic record, 12-channel geophone of seismic streamers. Additional Gravity Core was used for sediment research through drilling.", - "license": "proprietary" - }, - { - "id": "KOPRI-KPDC-00000055_1", - "title": "1998 Sediment Core, Antarctica", - "catalog": "AMD_KOPRI STAC Catalog", - "state_date": "1998-12-11", - "end_date": "1998-12-12", - "bbox": "-66.32, -63.95, -63.47, -62.943333", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2244294165-AMD_KOPRI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2244294165-AMD_KOPRI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/AMD_KOPRI/collections/KOPRI-KPDC-00000055_1", - "description": "Korean Antarctic survey was conducted in the continental margin (II region) of the northwestern Antarctic Peninsula. We took on lease Russian R/V \"Yuzhmorgeologiya\" (5500 ton, ice strengthed vessel) and 10 researchers participated in the cruise, including acquisition of multichannel seismic, gravity, and magnetometer as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic and SBP surveys) 2. Paleoceanographic researches", - "license": "proprietary" - }, - { - "id": "KOPRI-KPDC-00000056_1", - "title": "1999 Sediment Core, Antarctica", - "catalog": "AMD_KOPRI STAC Catalog", - "state_date": "2000-01-01", - "end_date": "2000-01-03", - "bbox": "-66.32, -63.95, -63.47, -62.943333", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2244294945-AMD_KOPRI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2244294945-AMD_KOPRI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/AMD_KOPRI/collections/KOPRI-KPDC-00000056_1", - "description": "Korean Antarctic survey was conducted in the continental margin off the Anvers Island of the northwestern Antarctic Peninsula. The research period was from 25 Nov. in 1999 to 3 Jan. in 2000 (8 days). We took on Korean R/V \"Onnuri\" (KORDI) and 13 researchers participated in the cruise, including acquisition of multichannel seismic, gravity, and magnetometer as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic, SBP, gravity, and magnetometer surveys) 2. Paleoceanographic researches", - "license": "proprietary" - }, - { - "id": "L1B_Wind_Products_NA", - "title": "Aeolus preliminary HLOS (horizontal line-of-sight) wind observations for Rayleigh and Mie receivers", - "catalog": "ESA STAC Catalog", - "state_date": "2020-04-20", - "end_date": "", - "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", - "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", - "title": "Aeolus Scientific L2B Rayleigh/Mie wind product", - "catalog": "ESA STAC Catalog", - "state_date": "2020-04-20", - "end_date": "", - "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", - "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", - "title": "Aeolus Level 2C assisted wind fields resulting from NWP Numerical Weather Prediction assimilation processing", - "catalog": "ESA STAC Catalog", - "state_date": "2020-07-09", - "end_date": "", - "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", - "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": "LAI_WOODY_PLANTS_1231_1", - "title": "A Global Database of Field-observed Leaf Area Index in Woody Plant Species, 1932-2011", - "catalog": "ORNL_DAAC STAC Catalog", - "state_date": "1932-01-01", - "end_date": "2011-12-31", - "bbox": "-164.78, -54.2, 175.62, 78.42", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179130805-ORNL_DAAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179130805-ORNL_DAAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/LAI_WOODY_PLANTS_1231_1", - "description": "This data set provides global leaf area index (LAI) values for woody species. The data are a compilation of field-observed data from 1,216 locations obtained from 554 literature sources published between 1932 and 2011. Only site-specific maximum LAI values were included from the sources; values affected by significant artificial treatments (e.g. continuous fertilization and/or irrigation) and LAI values that were low due to drought or disturbance (e.g. intensive thinning, wildfire, or disease), or because vegetation was immature or old/declining, were excluded (Lio et al., 2014). To maximize the generic applicability of the data, original LAI values from source literature and values standardized using the definition of half of total surface area (HSA) are included. Supporting information, such as geographical coordinates of plot, altitude, stand age, name of dominant species, plant functional types, and climate data are also provided in the data file. There is one data file in comma-separated (.csv) format with this data set and one companion file which provides the data sources.", - "license": "proprietary" - }, - { - "id": "LEAF_CARBON_NUTRIENTS_1106_1", - "title": "A Global Database of Carbon and Nutrient Concentrations of Green and Senesced Leaves", - "catalog": "ORNL_DAAC STAC Catalog", - "state_date": "1970-01-01", - "end_date": "2009-12-31", - "bbox": "-159.7, -50, 176.9, 68.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179003380-ORNL_DAAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179003380-ORNL_DAAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/LEAF_CARBON_NUTRIENTS_1106_1", - "description": "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.", - "license": "proprietary" - }, - { - "id": "LEAF_PHOTOSYNTHESIS_TRAITS_1224_1", - "title": "A Global Data Set of Leaf Photosynthetic Rates, Leaf N and P, and Specific Leaf Area", - "catalog": "ORNL_DAAC STAC Catalog", - "state_date": "1993-01-01", - "end_date": "2010-12-31", - "bbox": "-122.4, -43.2, 176.13, 58.42", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179126725-ORNL_DAAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179126725-ORNL_DAAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/LEAF_PHOTOSYNTHESIS_TRAITS_1224_1", - "description": "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.", - "license": "proprietary" - }, - { - "id": "Level_2A_aerosol_cloud_optical_products_NA", - "title": "Aeolus L2A Aerosol/Cloud optical product", - "catalog": "ESA STAC Catalog", - "state_date": "2021-05-26", - "end_date": "", - "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).", - "license": "proprietary" - }, - { - "id": "M1_ AVH02C1_6", - "title": "METOP-B AVHRR Top-of-Atmosphere Reflectance Daily L3 Global 0.05 Deg. CMG", - "catalog": "LAADS STAC Catalog", - "state_date": "2013-01-16", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2751091676-LAADS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751091676-LAADS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LAADS/collections/M1_%20AVH02C1_6", - "description": "The Long-Term Data Record (LTDR) produces, validates, and distributes a global land surface climate data record (CDR) that uses both mature and well-tested algorithms in concert with the best-available polar-orbiting satellite data from past to the present. The CDR is critically important to studying global climate change. The LTDR project is unique in that it serves as a bridge that connects data derived from the NOAA Advanced Very High Resolution Radiometer (AVHRR), the EOS Moderate resolution Imaging Spectroradiometer (MODIS), the Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS), and Joint Polar Satellite System (JPSS) VIIRS missions. The LTDR draws from the following eight AVHRR missions: NOAA-7, NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-18, NOAA-19, and MetOp-B. Currently, the project generates a daily surface reflectance product as the fundamental climate data record (FCDR) and derives daily Normalized Differential Vegetation Index (NDVI) and Leaf-Area Index/fraction of absorbed Photosynthetically Active Radiation (LAI/fPAR) as two thematic CDRs (TCDR). LAI/fPAR was developed as an experimental product. The METOP-B AVHRR Top-of-Atmosphere Reflectance Daily L3 Global 0.05 Deg CMG, short-name M1_AVH02C1 is generated from GIMMS Advanced Processing System (GAPS) BRDF-corrected Surface Reflectance product (AVH01C1). The M1_AVH02C1 consist of Top-of-atmosphere reflectance for bands 1 and 2, data Quality flags, angles (solar zenith, view zenith, and relative azimuth), thermal data (thermal bands 3, 4 and 5), and additional data (scan time). ", - "license": "proprietary" - }, - { - "id": "M1_ AVH09C1_6", - "title": "METOP-B AVHRR Atmospherically Corrected Surface Reflectance Daily L3 Global 0.05 Deg CMG", - "catalog": "LAADS STAC Catalog", - "state_date": "2013-01-16", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2187507677-LAADS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2187507677-LAADS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LAADS/collections/M1_%20AVH09C1_6", - "description": "The Long-Term Data Record (LTDR) produces, validates, and distributes a global land surface climate data record (CDR) that uses both mature and well-tested algorithms in concert with the best-available polar-orbiting satellite data from past to the present. The CDR is critically important to studying global climate change. The LTDR project is unique in that it serves as a bridge that connects data derived from the NOAA Advanced Very High Resolution Radiometer (AVHRR), the EOS Moderate resolution Imaging Spectroradiometer (MODIS), the Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS), and Joint Polar Satellite System (JPSS) VIIRS missions. The LTDR draws from the following eight AVHRR missions: NOAA-7, NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-18, NOAA-19, and MetOp-B. Currently, the project generates a daily surface reflectance product as the fundamental climate data record (FCDR) and derives daily Normalized Differential Vegetation Index (NDVI) and Leaf-Area Index/fraction of absorbed Photosynthetically Active Radiation (LAI/fPAR) as two thematic CDRs (TCDR). LAI/fPAR was developed as an experimental product. The METOP-B AVHRR Atmospherically Corrected Surface Reflectance Daily L3 Global 0.05 Deg CMG, short-name M1_ AVH09C1 is generated from GIMMS Advanced Processing System (GAPS) BRDF-corrected Surface Reflectance product (AVH01C1). The M1_ AVH09C1 consist of BRDF-corrected surface reflectance for bands 1, 2, and 3, data Quality flags, angles (solar zenith, view zenith, and relative azimuth), and thermal data (thermal bands 3, 4, and 5). The AVH09C1 product is available in HDF4 file format. ", - "license": "proprietary" - }, - { - "id": "M1_AVH13C1_6", - "title": "METOP-B AVHRR Atmospherically Corrected Normalized Difference Vegetation Index Daily L3 Global 0.05 Deg. CMG", - "catalog": "LAADS STAC Catalog", - "state_date": "2013-01-16", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2751635237-LAADS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751635237-LAADS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LAADS/collections/M1_AVH13C1_6", - "description": "The Long-Term Data Record (LTDR) produces, validates, and distributes a global land surface climate data record (CDR) that uses both mature and well-tested algorithms in concert with the best-available polar-orbiting satellite data from past to the present. The CDR is critically important to studying global climate change. The LTDR project is unique in that it serves as a bridge that connects data derived from the NOAA Advanced Very High Resolution Radiometer (AVHRR), the EOS Moderate resolution Imaging Spectroradiometer (MODIS), the Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS), and Joint Polar Satellite System (JPSS) VIIRS missions. The LTDR draws from the following eight AVHRR missions: NOAA-7, NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-18, NOAA-19, and MetOp-B. Currently, the project generates a daily surface reflectance product as the fundamental climate data record (FCDR) and derives daily Normalized Differential Vegetation Index (NDVI) and Leaf-Area Index/fraction of absorbed Photosynthetically Active Radiation (LAI/fPAR) as two thematic CDRs (TCDR). LAI/fPAR was developed as an experimental product. The METOP-B AVHRR Atmospherically Corrected Normalized Difference Vegetation Index (NDVI) Daily L3 Global 0.05 Deg CMG, short-name M1_AVH13C1 is generated from GIMMS Advanced Processing System (GAPS) BRDF-corrected Surface Reflectance product (M1_AVH01C1). The M1_AVH13C1 product is available in HDF4 file format. ", - "license": "proprietary" - }, - { - "id": "MCD06COSP_D3_MODIS_6.1", - "title": "MODIS (Aqua/Terra) Cloud Properties Level 3 daily, 1x1 degree grid", - "catalog": "LAADS STAC Catalog", - "state_date": "2002-07-04", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1887589686-LAADS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1887589686-LAADS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LAADS/collections/MCD06COSP_D3_MODIS_6.1", - "description": "The combined MODIS (Aqua/Terra) Cloud Properties Level 3 daily, 1x1 degree grid product represents a new addition that is especially geared to facilitate climate scientists who deal with both models and observations. MCD06COSP_D3_MODIS represents the daily product\u2019s short-name. The \u201cCOSP\u201d acronym in its short-name stands for Cloud Feedback Model Intercomparison Project (CFMIP) Observation Simulator Package. This product is an aggregation of combined MODIS Level-2 inputs from both the Terra and Aqua incarnations (MOD35/MOD06 and MYD35/MYD06, respectively), and employs an aggregation methodology consistent with the MOD08 and MYD08 products. Provided in netCDF4 format, it contains 23 aggregated science data sets (SDS/parameters).", - "license": "proprietary" - }, - { - "id": "MCD06COSP_M3_MODIS_6.1", - "title": "MODIS (Aqua/Terra) Cloud Properties Level 3 monthly, 1x1 degree grid", - "catalog": "LAADS STAC Catalog", - "state_date": "2002-07-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1888024429-LAADS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1888024429-LAADS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LAADS/collections/MCD06COSP_M3_MODIS_6.1", - "description": "The combined MODIS (Aqua/Terra) Cloud Properties Level 3 monthly, 1x1 degree grid product represents a new addition that is especially geared to facilitate climate scientists who deal with both models and observations. MCD06COSP_D3_MODIS represents the daily product\u2019s short-name. The \u201cCOSP\u201d acronym in its short-name stands for Cloud Feedback Model Intercomparison Project (CFMIP) Observation Simulator Package. The L3 monthly product is derived by aggregating the daily-produced Aqua+Terra/MODIS D3 Cloud Properties product (MCD06COSP_D3_MODIS). Provided in netCDF4 format, it contains 23 aggregated science data sets (SDS/parameters).", - "license": "proprietary" - }, - { - "id": "MCD14DL_C5_NRT_005", - "title": "MODIS/Aqua+Terra Thermal Anomalies/Fire locations 1km FIRMS V005 NRT", - "catalog": "LM_FIRMS STAC Catalog", - "state_date": "2014-01-28", - "end_date": "", - "bbox": "-180, -80, 180, 80", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1219768065-LM_FIRMS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1219768065-LM_FIRMS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LM_FIRMS/collections/MCD14DL_C5_NRT_005", - "description": "Near Real-Time (NRT) MODIS Thermal Anomalies / Fire locations processed by FIRMS (Fire Information for Resource Management System) - Land Atmosphere Near real time Capability for EOS (LANCE), using swath products (MOD14/MYD14) rather than the tiled MOD14A1 and MYD14A1 products. The thermal anomalies / active fire represent the center of a 1km pixel that is flagged by the MODIS MOD14/MYD14 Fire and Thermal Anomalies algorithm (Giglio 2003) as containing one or more fires within the pixel. This is the most basic fire product in which active fires and other thermal anomalies, such as volcanoes, are identified.MCD14DL are available in the following formats: TXT, SHP, KML, WMS. These data are also provided through the FIRMS Fire Email Alerts. Please note only the TXT and SHP files contain all the attributes.", - "license": "proprietary" - }, - { - "id": "MIANACP_1", - "title": "MISR Aerosol Climatology Product V001", - "catalog": "LARC STAC Catalog", - "state_date": "1999-11-22", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C185127378-LARC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C185127378-LARC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections/MIANACP_1", - "description": "MIANACP_1 is the Multi-angle Imaging SpectroRadiometer (MISR) Aerosol Climatology Product version 1. It is 1) the microphysical and scattering characteristics of pure aerosol upon which routine retrievals are based; 2) mixtures of pure aerosol to be compared with MISR observations; and 3) likelihood value assigned to each mode geographically. The ACP describes mixtures of up to three component aerosol types from a list of eight components, in varying proportions. ACP component aerosol particle data quality depends on the ACP input data, which are based on aerosol particles described in the literature, and consider MISR-specific sensitivity to particle size, single-scattering albedo, and shape, and shape - roughly: small, medium and large; dirty and clean; spherical and nonspherical [Kahn et al. , 1998; 2001]. Also reported in the ACP are the mixtures of these components used by the retrieval algorithm. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.", - "license": "proprietary" - }, - { - "id": "MIANCAGP_1", - "title": "MISR Ancillary Geographic Product V001", - "catalog": "LARC STAC Catalog", - "state_date": "1999-11-07", - "end_date": "2005-06-30", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C183897339-LARC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C183897339-LARC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections/MIANCAGP_1", - "description": "MIANCAGP_1 is the Multi-angle Imaging SpectroRadiometer (MISR) Ancillary Geographic Product version 1. It is a set of 233 pre-computed files. Each AGP file pertains to a single Terra orbital path. MISR production software relies on information in the AGP, such as digital terrain elevation, as input to the algorithms which generate MISR products. The AGP contains eleven fields of geographical data. This product consists primarily of geolocation data on a Space Oblique Mercator (SOM) Grid. It has 233 parts, corresponding to the 233 repeat orbits of the EOS-AM1 Spacecraft. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.", - "license": "proprietary" - }, - { - "id": "MIANCARP_2", - "title": "MISR Ancillary Radiometric Product V002", - "catalog": "LARC STAC Catalog", - "state_date": "1999-12-28", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179031521-LARC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179031521-LARC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections/MIANCARP_2", - "description": "MIANCARP_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Ancillary Radiometric Product version 2. It is composed of 4 files covering instrument characterization data, pre-flight calibration data, in-flight calibration data, and configuration parameters. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.", - "license": "proprietary" - }, - { - "id": "MIB2GEOP_002", - "title": "MISR Geometric Parameters V002", - "catalog": "LARC STAC Catalog", - "state_date": "2000-02-24", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C43677702-LARC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C43677702-LARC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections/MIB2GEOP_002", - "description": "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 V002 contains the Geometric Parameters which measure the sun and view angles at the reference ellipsoid", - "license": "proprietary" - }, - { - "id": "MIRCCMF_001", - "title": "MISR FIRSTLOOK radiometric camera-by-camera Cloud Mask V001", - "catalog": "LARC STAC Catalog", - "state_date": "2000-12-13", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C135857530-LARC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C135857530-LARC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections/MIRCCMF_001", - "description": "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 FIRSTLOOK radiometric camera-by-camera Cloud Mask V001 contains the FIRSTLOOK Radiometric camera-by-camera Cloud Mask (RCCM) dataset produced using ancillary inputs Radiometric Camera-by-camera Cloud mask Threshold (RCCT) from the previous time period. It is used to determine whether a scene is clear, cloudy or dusty (over ocean).", - "license": "proprietary" - }, - { - "id": "MISBR_005", - "title": "MISR Browse data V005", - "catalog": "LARC STAC Catalog", - "state_date": "1999-12-18", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C43677744-LARC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C43677744-LARC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections/MISBR_005", - "description": "This is the browse data associated with a particular granule.", - "license": "proprietary" - }, - { - "id": "MURI_Camouflage_0", - "title": "A Multi University Research Initiative (MURI) Camouflage Project", - "catalog": "OB_DAAC STAC Catalog", - "state_date": "2010-06-14", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360494-OB_DAAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360494-OB_DAAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/OB_DAAC/collections/MURI_Camouflage_0", - "description": "A Multi University Research Initiative was funded to study the biological response to the dynamic, polarized light field in distinct water types. During June 2010, a campaign was undertaken in the coastal waters off Port Aransas, Texas to study the angular/temporal distribution of polarization in multiple environment types (eutrophic sediment laden coastal waters, oligotrophic off-shore), as well as the polarization-reflectance responses of several organisms. In addition to radiometric polarization measurements, water column IOPs, Rrs, benthic reflectance, and pigment concentration measurements were collected. Later campaigns expanded this research in the coastal waters off the Florida Keys.", - "license": "proprietary" - }, - { - "id": "MURI_HI_0", - "title": "A Multi University Research Initiative (MURI) near the Hawaiian Islands", - "catalog": "OB_DAAC STAC Catalog", - "state_date": "2012-05-31", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360508-OB_DAAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360508-OB_DAAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/OB_DAAC/collections/MURI_HI_0", - "description": "Measurements taken by the RV Kilo Moana in 2012 near the Hawaiian Islands.", - "license": "proprietary" - }, - { - "id": "MYD00F_6.1NRT", - "title": "MODIS/Aqua L0 PDS Data, 5-Min Swath - NRT", - "catalog": "LANCEMODIS STAC Catalog", - "state_date": "2017-10-12", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1426615577-LANCEMODIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1426615577-LANCEMODIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LANCEMODIS/collections/MYD00F_6.1NRT", - "description": "MODIS/Aqua Near Real Time (NRT) L0 PDS Data 5-Min Swath.", - "license": "proprietary" - }, - { - "id": "MYD021KM_6.1", - "title": "MODIS/Aqua Calibrated Radiances 5-Min L1B Swath 1km", - "catalog": "LAADS STAC Catalog", - "state_date": "2002-07-04", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1379758607-LAADS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1379758607-LAADS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LAADS/collections/MYD021KM_6.1", - "description": "The MODIS/Aqua Calibrated Radiances 5Min L1B Swath 1km data set contains calibrated and geolocated at-aperture radiances for 36 discrete bands located in the 0.4 to 14.4 micron region of the electromagnetic spectrum. These data are generated from the MODIS Level 1A scans of raw radiance which during processing are converted to geophysical units of W / (m^2 um sr). Additional data are provided including quality flags, error estimates and calibration data. Visible, shortwave infrared, and near infrared measurements are only made during the daytime (except band 26), while radiances for the thermal infrared region (bands 20-25, 27-36) are measured continuously. The shortname for this product is MYD021KM and is stored in the Earth Observing System Hierarchical Data Format (HDF-EOS). A typical file size is approximately 115 MB. Environmental information derived from MODIS L1B measurements will offer a comprehensive and unprecedented look at terrestrial, atmospheric, and ocean phenomenology for a wide and diverse community of users throughout the world. See the MODIS Characterization Support Team webpage for more C6 product information at: https://mcst.gsfc.nasa.gov/l1b/product-information or visit Science Team homepage at: https://modis.gsfc.nasa.gov/data/dataprod/", - "license": "proprietary" - }, - { - "id": "MYD021KM_6.1NRT", - "title": "MODIS/Aqua Calibrated Radiances 5-Min L1B Swath 1km - NRT", - "catalog": "LANCEMODIS STAC Catalog", - "state_date": "2017-10-20", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1426616847-LANCEMODIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1426616847-LANCEMODIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LANCEMODIS/collections/MYD021KM_6.1NRT", - "description": "The MODIS Level 1B Near Real Time (NRT) data set contains calibrated and geolocated at-aperture radiances for 36 discrete bands located in the 0.4 to 14.4 micron region of electromagentic spectrum. These data are generated from the MODIS Level 1A scans of raw radiance and in the process converted to geophysical units of W/(m^2 um sr). In addition, the Earth Bi-directional Reflectance Distribution Function (BRDF) may be determined for the solar reflective bands (1-19, 26) through knowledge of the solar irradiance (e.g., determined from MODIS solar diffuser data, and from the target illumination geometry). Additional data are provided including quality flags, error estimates and calibration data. Visible, shortwave infrared, and near infrared measurements are only made during the daytime, while radiances for the thermal infrared region (bands 20-25, 27-36) are measured continuously. Channel locations for MODIS are as follows: Band Center Wavelength (um) Primary Use---- ---------------------- -----------1 0.620 - 0.670 Land/Cloud Boundaries2 0.841 - 0.876 Land/Cloud Boundaries3 0.459 - 0.479 Land/Cloud Properties4 0.545 - 0.565 Land/Cloud Properties5 1.230 - 1.250 Land/Cloud Properties6 1.628 - 1.652 Land/Cloud Properties7 2.105 - 2.155 Land/Cloud Properties8 0.405 - 0.420 Ocean Color/Phytoplankton9 0.438 - 0.448 Ocean Color/Phytoplankton10 0.483 - 0.493 Ocean Color/Phytoplankton11 0.526 - 0.536 Ocean Color/Phytoplankton12 0.546 - 0.556 Ocean Color/Phytoplankton13 0.662 - 0.672 Ocean Color/Phytoplankton14 0.673 - 0.683 Ocean Color/Phytoplankton15 0.743 - 0.753 Ocean Color/Phytoplankton16 0.862 - 0.877 Ocean Color/Phytoplankton17 0.890 - 0.920 Atmospheric Water Vapor18 0.931 - 0.941 Atmospheric Water Vapor19 0.915 - 0.965 Atmospheric Water Vapor20 3.660 - 3.840 Surface/Cloud Temperature21 3.929 - 3.989 Surface/Cloud Temperature22 3.929 - 3.989 Surface/Cloud Temperature23 4.020 - 4.080 Surface/Cloud Temperature24 4.433 - 4.498 Atmospheric Temperature25 4.482 - 4.549 Atmospheric Temperature26 1.360 - 1.390 Cirrus Clouds27 6.535 - 6.895 Water Vapor Profile28 7.175 - 7.475 Water Vapor Profile29 8.400 - 8.700 Water Vapor Profile30 9.580 - 9.880 Ozone Overburden31 10.780 - 11.280 Surface/Cloud Temperature32 11.770 - 12.270 Surface/Cloud Temperature33 13.185 - 13.485 Cloud Top Altitude34 13.485 - 13.785 Cloud Top Altitude35 13.785 - 14.085 Cloud Top Altitude36 14.085 - 14.385 Cloud Top Altitude Channels 1 and 2 have 250 m resolution, channels 3 through 7 have 500m resolution, and the rest have 1 km resolution. However, for the MODIS L1B 1 km product, the 250 m and 500 m band radiance data and their associated uncertainties have been aggregated to 1km resolution. Thus the entire channel data set is referenced to the same spatial and geolocation scales. Separate L1B products are available for the 250 m channels (MYD02QKM) and 500 m channels (MYD02HKM) that preserve the original resolution of the data. Spatial resolution for pixels at nadir is 1 km, degrading to 4.8 km in the along-scan direction at the scan extremes. However, thanks to the overlapping of consecutive swaths and respectively pixels there, the resulting resolution at the scan extremes is about 2km. A 55 degree scanning pattern at the EOS orbit of 705 km results in a 2330km orbital swath width and provides global coverage every one to two days. A single MODIS Level 1B granule will nominally contain a scene built from 203 scans (or swaths) sampled 1354 times in the cross-track direction, corresponding to approximately 5 minutes worth of data. Since an individual MODIS scan (or swath) will contain 10 along-track spatial elements, the scene will be composed of (1354 x 2030) pixels, resulting in a spatial coverage of (2330 km x 2030 km). Due to the MODIS scan geometry, there will be increasing overlap occurring beyond about 25 degrees scan angle. To summarize, the MODIS L1B 1 km data product consists of: 1. Calibrated radiances and uncertainties for (2) 250 m reflected solar bands aggregated to 1km resolution 2. Calibrated radiances and uncertainties for (5) 500 m reflected solar bands aggregated to 1 km resolution 3. Calibrated radiances and uncertainties for (13) 1 km reflected solar bands and (16) infrared emissive bands 4. Geolocation subsampled at every 5th pixel across and along track 5. Satellite and solar angles subsampled at the above frequency 6. Comprehensive set of file-level metadata summarizing the spatial, temporal and parameter attributes of the data, as well as auxiliary information pertaining to instrument status and data quality characterization. The MODIS L1B data are stored in the Earth Observing System Hierarchical Data Format (HDF-EOS) which is an extension of HDF as developed by the National Center for Supercomputer Applications (NCSA) at the University of Illinois. A typical file size will be approximately 260 MB. Environmental information derived from MODIS L1B measurements will offer a comprehensive and unprecedented look at terrestrial, atmospheric, and ocean phenomenology for a wide and diverse community of users throughout the world. The Shortname for this product is MYD021KM", - "license": "proprietary" - }, - { - "id": "MYD02HKM_6.1NRT", - "title": "MODIS/Aqua Calibrated Radiances 5-Min L1B Swath 500m - NRT", - "catalog": "LANCEMODIS STAC Catalog", - "state_date": "2017-10-20", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1426617060-LANCEMODIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1426617060-LANCEMODIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LANCEMODIS/collections/MYD02HKM_6.1NRT", - "description": "The 500 meter MODIS Level 1B Near Real Time (NRT) data set contains calibrated and geolocated at-aperture radiances for 7 discrete bands located in the 0.45 to 2.20 micron region of the electromagnetic spectrum. These data are generated from the MODIS Level 1A scans of raw radiance and in the process converted to geophysical units of W/(m^2 um sr). In addition, the Earth Bi-directional Reflectance Distribution Function (BRDF) may be determined for these solar reflective bands through knowledge of the solar irradiance (e.g., determined from MODIS solar diffuser data, and from the target illumination geometry). Additional data are provided including quality flags, error estimates and calibration data. Visible, shortwave infrared, and near infrared measurements are only made during the daytime, while radiances for the thermal infrared region (bands 20-25, 27-36) are measured continuously. Channel locations for the MODIS 500 meter data are as follows: Band Center Wavelength (um) Primary Use ---- ---------------------- ----------- 1 0.620 - 0.670 Land/Cloud Boundaries 2 0.841 - 0.876 Land/Cloud Boundaries 3 0.459 - 0.479 Land/Cloud Properties 4 0.545 - 0.565 Land/Cloud Properties 5 1.230 - 1.250 Land/Cloud Properties 6 1.628 - 1.652 Land/Cloud Properties 7 2.105 - 2.155 Land/Cloud Properties Channels 1 and 2 have 250 m resolution, channels 3 through 7 have 500 m resolution. However, for the MODIS L1B 500 m product, the 250 m band radiance data and their associated uncertainties have been aggregated to 500 m resolution. Thus the entire channel data set has been co-registered to the same spatial scale in the 500 m product. Separate L1B products are available for the 250 m resolution channels (MYD02QKM) and 1 km resolution channels (MYD021KM). For the latter product, the 250 m and 500 m channel data (bands 1 through 7) have been aggregated into equivalent 1 km pixel values. Spatial resolution for pixels at nadir is 500 km, degrading to 2.4 km in the along-scan direction at the scan extremes. However, thanks to the overlapping of consecutive swaths and respectively pixels there, the resulting resolution at the scan extremes is about 1 km. A 55 degree scanning pattern at the EOS orbit of 705 km results in a 2330 km orbital swath width and provides global coverage every one to two days. A single MODIS Level 1B 500 m granule will contain a scene built from 203 scans sampled 2708 times in the cross-track direction, corresponding to approximately 5 minutes worth of data; thus 288 granules will be produced per day. Since an individual MODIS scan will contain 20 along-track spatial elements for the 500 m channels, the scene will be composed of (2708 x 4060) pixels, resulting in a spatial coverage of (2330 km x 2040 km). Due to the MODIS scan geometry, there will be increasing scan overlap beyond about 20 degrees scan angle. To summarize, the MODIS L1B 500 m data product consists of: 1. Calibrated radiances, uncertainties and number of samples for (2) 250 m reflected solar bands aggregated to 500 m resolution 2. Calibrated radiances and uncertainties for (5) 500 m reflected solar bands 3. Geolocation for 1km pixels, that must be interpolated to get 500 m pixel locations. For the relationship of 1km pixels to 500m pixels, see the Geolocation ATBD http://modis.gsfc.nasa.gov/data/atbd/atbd_mod28_v3.pdf . 4. Calibration data for all channels (scale and offset) 5. Comprehensive set of file-level metadata summarizing the spatial, temporal and parameter attributes of the data, as well as auxiliary information pertaining to instrument status and data quality characterization The MODIS L1B 500 m data are stored in the Earth Observing System Hierarchical Data Format (HDF-EOS) which is an extension of HDF as developed by the National Center for Supercomputer Applications (NCSA) at the University of Illinois. A typical file size will be approximately 170 MB. Environmental information derived from MODIS L1B measurements will offer a comprehensive and unprecedented look at terrestrial, atmospheric, and ocean phenomenology for a wide and diverse community of users throughout the world. The Shortname for this product is MYD02HKM", - "license": "proprietary" - }, - { - "id": "MYD02QKM_6.1NRT", - "title": "MODIS/Aqua Calibrated Radiances 5-Min L1B Swath 250m - NRT", - "catalog": "LANCEMODIS STAC Catalog", - "state_date": "2017-10-20", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1426621826-LANCEMODIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1426621826-LANCEMODIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LANCEMODIS/collections/MYD02QKM_6.1NRT", - "description": "The 250 meter MODIS Level 1B Near Real Time (NRT) data set contains calibrated and geolocated at-aperture radiances for 2 discrete bands located in the 0.62 to 0.88 micron region of the electromagnetic spectrum. These data are generated from the MODIS Level 1A scans of raw radiance and in the process converted to geophysical units of W / (m^2 um sr). In addition, the Earth Bi-directional Reflectance Distribution Function (BRDF) may be determined for these solar reflective bands through knowledge of the solar irradiance (e.g., determined from MODIS solar diffuser data, and from the target illumination geometry). Additional data are provided including quality flags, error estimates and calibration data. Channel locations for the MODIS 250 meter data are as follows: Band Center Wavelength (um) Primary Use ---- ---------------------- ----------- 1 0.620 - 0.670 Land/Cloud Boundaries 2 0.841 - 0.876 Land/Cloud Boundaries Separate L1B products are available for the five 500 m resolution channels (MYD02HKM) and the twenty-nine 1 km resolution channels (MYD021KM). For the 500 m product, there are actually seven channels available since the data from the two 250 m channels have been aggregated to 500 m resolution. Similarly, for the 1 km product, all 36 MODIS channels are available since the data from the two 250 m and five 500 m channels have been aggregated into equivalent 1 km pixel values. Spatial resolution for pixels at nadir is 250 m, degrading to 1.2 km in the along-scan direction and 0.5 km in the along-track direction for pixels located at the scan extremes. A 55 degree scanning pattern at the EOS orbit of 705 km results in a 2330 km orbital swath width and provides global coverage every one to two days. A single MODIS Level 1B 250 m granule will contain a scene built from 203 scans sampled 5416 times in the cross-track direction, corresponding to approximately 5 minutes worth of data; thus 288 granules will be produced per day. Since an individual MODIS scan will contain 40 along-track spatial elements for the 250 m channels, the scene will be composed of (5416 x 8120) pixels, resulting in a spatial coverage of (2330 km x 2040 km). Due to the MODIS scan geometry, there will be increasing scan overlap beyond about 17 degrees scan angle. To summarize, the MODIS L1B 250 m data product consists of: 1. Calibrated radiances and uncertainties for (2) 250 m reflected solar bands 2. Subsampled geolocation at every 4th 250 m pixel across and along track, i.e., a geolocation point every kilometer 3. Satellite and solar angles subsampled at the above frequency 4. Calibration data for all channels (scale and offset) 5. Comprehensive set of file-level metadata summarizing the spatial, temporal and parameter attributes of the data, as well as auxiliary information pertaining to instrument status and data quality characterization The MODIS L1B 250 m data are stored in the Earth Observing System Hierarchical Data Format (HDF-EOS) which is an extension of HDF as developed by the National Center for Supercomputer Applications (NCSA) at the University of Illinois. A typical file size will be approximately 170 MB. Environmental information derived from MODIS L1B measurements will offer a comprehensive and unprecedented look at terrestrial, atmospheric, and ocean phenomenology for a wide and diverse community of users throughout the world. The Shortname for this product is MYD02QKM", - "license": "proprietary" - }, - { - "id": "MYD02SSH_6.1NRT", - "title": "MODIS/Aqua Level 1B Subsampled Calibrated Radiance 5Km - NRT", - "catalog": "LANCEMODIS STAC Catalog", - "state_date": "2017-10-20", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1426632422-LANCEMODIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1426632422-LANCEMODIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LANCEMODIS/collections/MYD02SSH_6.1NRT", - "description": "This Near Real Time (NRT) data type (MYD02SSH) is a subsample from the MODIS Level 1B 1-km data. Every fifth pixel is taken from the MYD021KM product and written out to MYD02SSH. The subsampling starts at the third frame, and at the third line. Here, \"frame\" and \"line\" are naming conventions for pixels along and across the scan, respectively. Since MYD02SSH is a subsampled Level 1B , many things from the Level 1B documentation apply as well. That is, the MYD02SSH data productcontains calibrated and geolocated at-aperture radiances for 36 bands generated from MODIS Level 1A scans of raw radiance (MOD 01). The radiance units are in W/(m ^2 um sr). Additional data are provided including quality flags, error estimates and calibration data. Visible, shortwave infrared (SWIR), and Near Infrared (NIR) measurements are made during daytime only, while radiances for Thermal Infrared (TIR) are measured continuously.As it's parent, the MYD02SSH is in HDF-EOS format, and all metadata structures and names are preserved for better convenience. However, some relevant changes are made where appropriate, e.g. the dimension mappings are updated to reflect the new one-to-one correspondance between the data and geolocations. The latter is one of the most important differences: in the MYD02SSH, there is no offset between data and geolocation pixels. The spatial coverage is almost similar to that from MYD021KM (nominally it is 2330 by 2030 km, cross-track by along-track, respectively). The MYD02SSH is produced continuously, and thus the processing provides 2-day repeat observations of the Earth with a repeat orbitpattern every 16 days.The shortname for this product is MYD02SSH", - "license": "proprietary" - }, - { - "id": "MYD03_6.1NRT", - "title": "MODIS/Aqua Geolocation Fields 5-Min L1A Swath 1km - NRT", - "catalog": "LANCEMODIS STAC Catalog", - "state_date": "2017-10-20", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1426640814-LANCEMODIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1426640814-LANCEMODIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LANCEMODIS/collections/MYD03_6.1NRT", - "description": "The Near Real Time (NRT) geolocation fields are calculated for each 1 km MODIS Instantaneous Field of Views (IFOV) for all orbits daily. The locations and ancillary information corresponds to the intersection of the centers of each IFOV from 10 detectors in an ideal 1 km band on the Earth's surface. A digital terrain model is used to model the Earth's surface. The main inputs are the spacecraft attitude and orbit, the instrument telemetry and the digital elevation model. The geolocation fields include geodetic Latitude, Longitude, surface height above geoid, solar zenith and azimuth angles, satellite zenith and azimuth angles, and a land/sea mask for each 1 km sample. Additional information is included in the header to enable the calculation of the approximate location of the center of the detectors of any of the 36 MODIS bands. This product is used as input by a large number of subsequent MODIS products, particularly the products produced by the Land team.The shortname for this product is MYD03.", - "license": "proprietary" - }, - { - "id": "MYD04_3K_6.1", - "title": "MODIS/Aqua Aerosol 5-Min L2 Swath 3km", - "catalog": "LAADS STAC Catalog", - "state_date": "2002-07-04", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1443528505-LAADS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1443528505-LAADS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LAADS/collections/MYD04_3K_6.1", - "description": "The new Collection 6.1 (C61) MODIS/Aqua Aerosol 5 Min L2 Swath 3km (MYD04_3K) product is an improved version based on algorithm changes in Dark Target (DT) Aerosol retrieval over urban areas and uncertainty estimates for Deep Blue (DB) Aerosol retrievals. The MODIS level-2 atmospheric aerosol product provides retrieved ambient aerosol optical properties, quality assurance, and other parameters, globally over ocean and land. In Collection 5, and earlier collections, there was only one aerosol product (MYD04_L2) at 10km (at nadir) spatial resolution. Starting from C6, the Dark Target (DT) Aerosol algorithm team provided a new 3 km spatial resolution product (MYD04_3k) intended for the air quality community. The MYD04_3K product is based on the same algorithm and Look up Tables as the standard Dark Target aerosol product. Because of finer resolution, subtle differences are made in selecting pixels for retrieval and in determining QA. The only differences between the existing 10km algorithm and the new 3km algorithm are: 1) the size of the pixel-arrays defining each retrieval box ( 6x6 retrieval boxes of 36 pixels at 0.5km resolution for 3km algorithm as oppose to 20x20 retrieval boxes of 400 pixels at 0.5km resolution for 10km product); 2) the minimum percentage of \"good\" pixels required for a retrieval (a minimum of 5 pixels over ocean and 6 pixels over land instead of a minimum of 10 pixels over ocean or 12 pixels over land for 10km product retrieval); 3) the 10km algorithm attempts a \"poor quality\" retrieval while 3km algorithm does not. Everything else is the same between two products. For more information on C6.1 changes and updates, visit the MODIS Atmosphere website at: https://modis-atmosphere.gsfc.nasa.gov/documentation/collection-61", - "license": "proprietary" - }, - { - "id": "MYD04_3K_6.1NRT", - "title": "MODIS/Aqua Aerosol 5-Min L2 Swath 3km - NRT", - "catalog": "LANCEMODIS STAC Catalog", - "state_date": "2017-10-20", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1426717545-LANCEMODIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1426717545-LANCEMODIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LANCEMODIS/collections/MYD04_3K_6.1NRT", - "description": "The new Collection 6.1 (C61) MYD04_3K product is an improved version based on algorithm changes in Dark Target (DT) Aerosol retrieval over urban areas and uncertainty estimates for Deep Blue (DB) Aerosol retrievals. The MODIS level-2 atmospheric aerosol product provides retrieved ambient aerosol optical properties, quality assurance, and other parameters, globally over ocean and land. In Collection 5, and earlier collections, there was only one aerosol product (MOD04_L2) at 10km (at nadir) spatial resolution. Starting from C6, the Dark Target (DT) Aerosol algorithm team provided a new 3 km spatial resolution product (MOD04_3k) intended for the air quality community. The MOD04_3K product is based on the same algorithm and Look up Tables as the standard Dark Target aerosol product. Because of finer resolution, subtle differences are made in selecting pixels for retrieval and in determining QA. The only differences between the existing 10km algorithm and the 3km algorithm are: 1) the size of the pixel-arrays defining each retrieval box (6x6 retrieval boxes of 36 pixels at 0.5km resolution for 3km algorithm as oppose to 20x20 retrieval boxes of 400 pixels at 0.5km resolution for 10km product); 2) the minimum percentage of good pixels required for a retrieval (a minimum of 5 pixels over ocean and 6 pixels over land instead of a minimum of 10 pixels over ocean or 12 pixels over land for 10km product retrieval); 3) the 10km algorithm attempts a poor quality retrieval while 3km algorithm does not. Everything else is same in two products. For more information on C6.1 changes and updates, visit the MODIS Atmosphere website at: https://modis-atmosphere.gsfc.nasa.gov/documentation/collection-61", - "license": "proprietary" - }, - { - "id": "MYD04_L2_6.1", - "title": "MODIS/Aqua Aerosol 5-Min L2 Swath 10km", - "catalog": "LAADS STAC Catalog", - "state_date": "2002-07-04", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1443533683-LAADS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1443533683-LAADS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LAADS/collections/MYD04_L2_6.1", - "description": "The MODIS/Aqua Aerosol 5-Min L2 Swath 10km product (MYD04_L2) provides full global coverage of aerosol properties from the Dark Target (DT) and Deep Blue (DB) algorithms. The DT algorithm is applied over ocean and dark land (e.g., vegetation), while the DB algorithm now covers the entire land areas including both dark and bright surfaces. Both results are provided on a 10x10 pixel scale (10 km at nadir). Each MYD04_L2 product file covers a five-minute time interval. The output grid is 135 pixels in width by 203 pixels in length. Every tenth file has an output grid size of 135 by 204 pixels. MYD04_L2 product files are stored in Hierarchical Data Format (HDF-EOS). The new Collection 6.1 (C61) MYD04_L2 product is an improved version based on algorithm changes in Dark Target (DT) Aerosol retrieval over urban areas and uncertainty estimates for Deep Blue (DB) Aerosol retrievals. The MODIS level-2 atmospheric aerosol product provides retrieved ambient aerosol optical properties, quality assurance, and other parameters, globally over ocean and land. In Collection 5 and in earlier collections, there was only one aerosol product (MYD04_L2) at 10km (at nadir) spatial resolution. Starting from C6, the Dark Target (DT) Aerosol algorithm team provided a new 3 km spatial resolution product (MYD04_3k) intended for the air quality community. For more information visit the MODIS Atmosphere website at: https://modis-atmos.gsfc.nasa.gov/products/aerosol And, for C6.1 changes and updates, visit: https://modis-atmosphere.gsfc.nasa.gov/documentation/collection-61", - "license": "proprietary" - }, - { - "id": "MYD04_L2_6.1NRT", - "title": "MODIS/Aqua Aerosol 5-Min L2 Swath 10km - NRT", - "catalog": "LANCEMODIS STAC Catalog", - "state_date": "2017-10-20", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1426751946-LANCEMODIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1426751946-LANCEMODIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LANCEMODIS/collections/MYD04_L2_6.1NRT", - "description": "The new Collection 6.1 (C61) MYD04_L2 product is an improved version based on algorithm changes in Dark Target (DT) Aerosol retrieval over urban areas and uncertainty estimates for Deep Blue (DB) Aerosol retrievals. The MODIS level-2 atmospheric aerosol product provides retrieved ambient aerosol optical properties, quality assurance, and other parameters, globally over ocean and land. In Collection 5, and earlier collections, there was only one aerosol product (MYD04_L2) at 10km (at nadir) spatial resolution. Starting from C6, the Dark Target (DT) Aerosol algorithm team provided a new 3 km spatial resolution product (MYD04_3k) intended for the air quality community. For more information visit the MODIS Atmosphere website at: https://modis-atmos.gsfc.nasa.gov/products/aerosol And, for C6.1 changes and updates, visit: https://modis-atmosphere.gsfc.nasa.gov/documentation/collection-61", - "license": "proprietary" - }, - { - "id": "MYD06_L2_6.1NRT", - "title": "MODIS/Aqua Clouds 5-Min L2 Swath 1km and 5km - NRT", - "catalog": "LANCEMODIS STAC Catalog", - "state_date": "2017-10-20", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1426986978-LANCEMODIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1426986978-LANCEMODIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LANCEMODIS/collections/MYD06_L2_6.1NRT", - "description": "The level-2 MODIS cloud product consists of cloud optical and physical parameters. These parameters are derived using remotely sensed infrared, visible and near infrared solar reflected radiances. MODIS infrared channel radiances are used to derive cloud top temperature, cloud top height, effective emissivity, cloud phase (ice vs. water, opaque vs. non-opaque), and cloud fraction under both daytime and nighttime conditions. MODIS visible radiances are used to derive cloud optical thickness and effective particle radius and cloud shadow effects. Near infrared solar reflected radiance provides additional information in the retrieval of cloud particle phase (ice vs. water, clouds vs. snow). The shortname for this level-2 MODIS cloud product is MYD06_L2. MYD06_L2 consists of parameters at a spatial resolution of either 1- km or 5-km (at nadir). Each MYD06_L2 product file covers a five-minute time interval. This means that for 5-km resolution parameters, the output grid is 270 pixels in width by 406 pixels in length. C6.1 changes for the cloud optical property retrievals are low-impact, and are limited primarily to ancillary product usage, the Quality Assurance (QA), and handling of cloud top (CT) properties fill values; no updates to retrieval science are implemented. For more information about the MODIS Cloud product, visit the MODIS-Atmosphere site at: https://modis-atmos.gsfc.nasa.gov/products/cloud For more details regarding dataset changes read the document at https://modis-atmos.gsfc.nasa.gov/documentation/collection-61", - "license": "proprietary" - }, - { - "id": "MYD08_D3_6.1", - "title": "MODIS/Aqua Aerosol Cloud Water Vapor Ozone Daily L3 Global 1Deg CMG", - "catalog": "LAADS STAC Catalog", - "state_date": "2002-07-04", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1443729298-LAADS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1443729298-LAADS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LAADS/collections/MYD08_D3_6.1", - "description": "The MODIS/Aqua Aerosol Cloud Water Vapor Ozone Daily L3 Global 1Deg CMG product (MYD08_D3) contains daily 1 x 1 degree grid average values of atmospheric parameters related to atmospheric aerosol particle properties, total ozone burden, atmospheric water vapor, cloud optical and physical properties, and atmospheric stability indices. This product also provides standard deviations, quality assurance weighted means and other statistically derived quantities for each parameter. The MYD08_D3 contains roughly 600 statistical datasets that are derived from approximately 80 scientific parameters from four Level-2 MODIS Atmosphere Products: MOD04_L2, MOD05_L2, MOD06_L2, and MOD07_L2. Statistics are computed over a 1 degree equal-angle lat-lon grid that spans a 24-hour (0000 to 2400 Greenwich Mean Time) interval. Since the grid cells are 1 degree by 1 degree, the output grid is always 360 pixels in width and 180 pixels in length. MYD08_D3 product files are stored in Hierarchical Data Format (HDF-EOS). Each gridded global parameter is stored as Scientific Data Sets (SDS) within the file. The MODIS Daily Product will be used in the simultaneously study of clouds, water vapor, aerosol , trace gases, land surface and oceanic properties, as well as the interaction between them and their effect on the Earth's energy budget and climate. This product will also be used to investigate seasonal and inter-annual changes in cirrus (semi-transparent) global cloud cover and cloud phase with multispectral observations at high spatial resolution. For more information about the MYD08_D3 product, please visit the MODIS-Atmosphere site at: https://modis-atmos.gsfc.nasa.gov/products/daily", - "license": "proprietary" - }, - { - "id": "MYD08_E3_6.1", - "title": "MODIS/Aqua Aerosol Cloud Water Vapor Ozone 8-Day L3 Global 1Deg CMG", - "catalog": "LAADS STAC Catalog", - "state_date": "2002-07-04", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1443743314-LAADS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1443743314-LAADS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LAADS/collections/MYD08_E3_6.1", - "description": "The MODIS/Aqua Aerosol Cloud Water Vapor Ozone 8-Day L3 Global 1Deg CMG product (MYD08_E3) contains 8-Day 1 degree x 1 degree grid average values of atmospheric parameters related to atmospheric aerosol particle properties, total ozone burden, atmospheric water vapor, cloud optical and physical properties, and atmospheric stability indices. This product also provides standard deviations, quality assurance weighted means and other statistically derived quantities for each parameter. The MYD08_E3 contains nearly 1000 statistical datasets (SDS's) that are derived from the Level-3 MODIS Atmosphere Daily Global Product. Statistics are computed over a 1 degree equal-angle lat-lon grid that spans an 8-Day interval. Since the grid cells are 1 degree by 1 degree, the output grid is always 360 pixels in width and 180 pixels in length. MYD08_E3 product files are stored in Hierarchical Data Format (HDF-EOS). Each gridded global parameter is stored as Scientific Data Sets (SDS) within the file. The MODIS 8-Day Product will be used in the simultaneously study of clouds, water vapor, aerosol , trace gases, land surface and oceanic properties, as well as the interaction between them and their effect on the Earth's energy budget and climate. This product will also be used to investigate seasonal and inter-annual changes in cirrus (semi-transparent) global cloud cover and cloud phase with multispectral observations at high spatial resolution. For more information about the MYD08_E3 product, please visit the MODIS-Atmosphere site at: https://modis-atmos.gsfc.nasa.gov/products/eight-day", - "license": "proprietary" - }, - { - "id": "MYD08_M3_6.1", - "title": "MODIS/Aqua Aerosol Cloud Water Vapor Ozone Monthly L3 Global 1Deg CMG", - "catalog": "LAADS STAC Catalog", - "state_date": "2002-07-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1443775657-LAADS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1443775657-LAADS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LAADS/collections/MYD08_M3_6.1", - "description": "The MODIS/Aqua Aerosol Cloud Water Vapor Ozone Monthly L3 Global 1Deg CMG product (MYD08_M3) contains monthly 1 x 1 degree grid average values of atmospheric parameters related to atmospheric aerosol particle properties, total ozone burden, atmospheric water vapor, cloud optical and physical properties, and atmospheric stability indices. This product also provides standard deviations, quality assurance weighted means and other statistically derived quantities for each parameter. The MYD08_M3 contains roughly 800 statistical datasets that are derived from the Level-3 MODIS Atmosphere Daily Global Product. Statistics are sorted into 1x1 degree cells on an equal-angle grid that spans a (calendar) monthly interval and then summarized over the globe. MYD08_M3 product files are stored in Hierarchical Data Format (HDF-EOS). Each gridded global parameter is stored as Scientific Data Sets (SDS) within the file. The MODIS monthly Product will be used in the simultaneously study of clouds, water vapor, aerosol , trace gases, land surface and oceanic properties, as well as the interaction between them and their effect on the Earth's energy budget and climate. This product will also be used to investigate seasonal and inter-annual changes in cirrus (semi-transparent) global cloud cover and cloud phase with multispectral observations at high spatial resolution. For more information about the MYD08_M3 product, please visit the MODIS-Atmosphere site at: https://modis-atmos.gsfc.nasa.gov/products/monthly", - "license": "proprietary" - }, - { - "id": "MYD09CMA_6.1NRT", - "title": "MODIS/Aqua Aerosol Optical Thickness Daily L3 Global 0.05-Deg CMA NRT", - "catalog": "LANCEMODIS STAC Catalog", - "state_date": "2021-02-07", - "end_date": "", - "bbox": "-180, -81, 180, 81", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2007652084-LANCEMODIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2007652084-LANCEMODIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LANCEMODIS/collections/MYD09CMA_6.1NRT", - "description": "The MODIS/Aqua Aerosol Optical Thickness Daily L3 Global 0.05-Deg CMA Near Real Time (NRT), short name MYD09CMA, is a daily level 3 global product. It is in linear latitude and longitude (Plate Carre) projection with a 0.05Deg spatial resolution. This product is derived from MYD09IDN, MYD09IDT and MYD09IDS for each orbit by compositing the data on the basis of minimum band 3 (459 - 479 nm band) values (after excluding pixels flagged for clouds and high solar zenith angles).", - "license": "proprietary" - }, - { - "id": "MYD09_6.1", - "title": "MODIS/Aqua Atmospherically Corrected Surface Reflectance 5-Min L2 Swath 250m, 500m, and 1km", - "catalog": "LAADS STAC Catalog", - "state_date": "2002-07-04", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1713215948-LAADS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1713215948-LAADS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LAADS/collections/MYD09_6.1", - "description": "The MODIS/Aqua Atmospherically Corrected Surface Reflectance 5-Min L2 Swath 250m, 500m, 1km (MYD09) product is computed from the MODIS Level 1B land bands 1, 2, 3, 4, 5, 6, and 7 (centered at 648 nm, 858 nm, 470 nm, 555 nm, 1240 nm, 1640 nm, and 2130 nm, respectively). The product is an estimate of the surface spectral reflectance for each band as it would have been measured at ground level if there were no atmospheric scattering or absorption. The surface-reflectance product is the input for product generation for several land products: vegetation Indices (VIs), Bidirectional Reflectance Distribution Function (BRDF), thermal anomaly, snow/ice, and Fraction of Photosynthetically Active Radiation/Leaf Area Index (FPAR/LAI).", - "license": "proprietary" - }, - { - "id": "MYD09_6.1NRT", - "title": "MODIS/Aqua Atmospherically Corrected Surface Reflectance 5-Min L2 Swath 250m, 500m, 1km NRT", - "catalog": "LANCEMODIS STAC Catalog", - "state_date": "2021-02-07", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2007652303-LANCEMODIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2007652303-LANCEMODIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LANCEMODIS/collections/MYD09_6.1NRT", - "description": "The MODIS/Aqua Atmospherically Corrected Surface Reflectance 5-Min L2 Swath 250m, 500m, 1km NRT, short name MYD09, is computed from the MODIS Level 1B land bands 1, 2, 3, 4, 5, 6, and 7 (centered at 648 nm, 858 nm, 470 nm, 555 nm, 1240 nm, 1640 nm, and 2130 nm, respectively). The product is an estimate of the surface spectral reflectance for each band as it would have been measured at ground level if there were no atmospheric scattering or absorption. The surface-reflectance product is the input for product generation for several land products: vegetation Indices (VIs), BRDF, thermal anomaly, snow/ice, and Fraction of Photosynthetically Active Radiation/Leaf Area Index (FPAR/LAI).", - "license": "proprietary" - }, - { - "id": "MYD11_L2_6.1NRT", - "title": "MODIS/Aqua Land Surface Temperature/Emissivity 5-Min L2 Swath 1km NRT", - "catalog": "LANCEMODIS STAC Catalog", - "state_date": "2021-02-07", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2007631072-LANCEMODIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2007631072-LANCEMODIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LANCEMODIS/collections/MYD11_L2_6.1NRT", - "description": "The MODIS/Aqua Land Surface Temperature/Emissivity 5-Min L2 Swath 1km Near Real Time (NRT), short name MYD11_L2, incorporate 1 km pixels, which are produced daily at 5-minute increments using the generalized split-window algorithm. This algorithm is optimally used to separate ranges of atmospheric column water vapor and lower boundary air surface temperatures into tractable sub-ranges. The surface emissivities in bands 31 and 32 are estimated from land cover types. The data inputs include the MODIS L1B calibrated and geolocated radiances, geolocation, cloud mask, atmospheric profiles, land and snow cover. The MYD11_L2 data set comprises swath data obtained in 5-minute sensor collection periods, and includes the following Science Data Set (SDS) layers:- LST- Quality control assessment- Error estimates- Bands 31 and 32 emissivities- Zenith angle of the pixel view- Observation time- Geographic coordinates for every five scan lines and samples.Produced daily, MYD11_L2 is an unprojected level-2 product, which provides the input for the level-3 products.", - "license": "proprietary" - }, - { - "id": "MYD14CRS_6NRT", - "title": "MODIS/Aqua Near Real Time (NRT) Coarse Thermal Anomalies/Fire 5-Min L2 Swath 5km", - "catalog": "LANCEMODIS STAC Catalog", - "state_date": "2015-12-06", - "end_date": "", - "bbox": "-180, -81, 180, 81", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1223143441-LANCEMODIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1223143441-LANCEMODIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LANCEMODIS/collections/MYD14CRS_6NRT", - "description": "MODIS Near Real Time (NRT) Thermal Anomalies/Fire products are primarily derived from MODIS 4- and 11-micrometer radiances. The fire detection strategy is based on absolute detection of a fire (a fire of strength sufficient to detect), and on detection relative to its background (to account for variability of the surface temperature and reflection by sunlight). Numerous tests are employed to reject typical false alarm sources like sun glint or an unmasked coastline. MYD14CRS provides level-2 swath data daily at a 5-kilometer resolution. The Science Data Sets in this product include fire-mask, algorithm quality, radiative power, and numerous layers describing fire pixel attributes. The Aqua MODIS instrument acquires data twice daily (10:30 AM and PM), as does the Aqua MODIS (2:30 PM and AM). These four daily MODIS fire observations serve to advance global monitoring of the fire process and its effects on ecosystems, the atmosphere, and climate. Data Set Characteristics: File Size: ~ 990 KB Resolution: 5 kilometer Projection: None (swath data) Data Type: Fire Mask 8-bit unsigned Data Format: HDF-EOS Science Data Sets (SDS HDF Layers): 23 Version-5 MODIS/Aqua Coarse Thermal Anomalies/Fire products are validated, meaning that product uncertainties are well defined over a range of representative conditions. Although there may be later improved versions, these data are ready for use in scientific publications.", - "license": "proprietary" - }, - { - "id": "MYD14_6NRT", - "title": "MODIS/Aqua Near Real Time (NRT) Thermal Anomalies/Fire 5-Min L2 Swath 1km", - "catalog": "LANCEMODIS STAC Catalog", - "state_date": "2015-12-07", - "end_date": "", - "bbox": "-180, -80, 180, 80", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1219248602-LANCEMODIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1219248602-LANCEMODIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LANCEMODIS/collections/MYD14_6NRT", - "description": "MODIS Near Real Time (NRT) Thermal Anomalies/Fire products are primarily derived from MODIS 4- and 11-micrometer radiances. The fire detection strategy is based on absolute detection of a fire (when the fire strength is sufficient to detect), and on detection relative to its background (to account for variability of the surface temperature and reflection by sunlight). Numerous tests are employed to reject typical false alarm sources like sun glint or an unmasked coastline.MYD14 is level-2 swath data provided daily at 1-kilometer resolution. The Science Data Sets in this product include fire-mask, algorithm quality, radiative power, and numerous layers describing fire pixel attributes.The Aqua MODIS instrument acquires data twice daily (1:30 PM and AM), as does the Terra MODIS (10:30 AM and PM). These four daily MODIS fire observations serve to advance global monitoring of the fire process and its effects on ecosystems, the atmosphere, and climate.", - "license": "proprietary" - }, - { - "id": "MYD21_6.1NRT", - "title": "MODIS/Aqua Land Surface Temperature/3-Band Emissivity 5-Min L2 1km NRT", - "catalog": "LANCEMODIS STAC Catalog", - "state_date": "2021-06-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2073479587-LANCEMODIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2073479587-LANCEMODIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LANCEMODIS/collections/MYD21_6.1NRT", - "description": "The MODIS/Aqua Land Surface Temperature/3-Band Emissivity (LST&E) 5-Min L2 1km data product, short-name MYD21 is produced daily in five minute temporal increments of satellite acquisition. The swath is approximately 2,030 pixels along track and 1,354 pixels per line, at a nadir resolution of 1,000 meters. The MYD21 Land Surface Temperature (LST) algorithm differs from the MYD11 (https://doi.org/10.5067/modis/myd11_l2.061) algorithm in that the MYD21 LST algorithm is based on the ASTER Temperature/Emissivity Separation (TES) technique, whereas the MYD11 uses the split-window technique. 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/107/MOD21_ATBD.pdf)). The Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and more.", - "license": "proprietary" - }, - { - "id": "MYD35_L2_6.1NRT", - "title": "MODIS/Aqua Cloud Mask and Spectral Test Results 5-Min L2 Swath 250m and 1km - NRT", - "catalog": "LANCEMODIS STAC Catalog", - "state_date": "2017-10-20", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1427007141-LANCEMODIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1427007141-LANCEMODIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LANCEMODIS/collections/MYD35_L2_6.1NRT", - "description": "The MODIS level-2 cloud mask product is a global product generated for both daytime and nighttime conditions at 1-km spatial resolution (at nadir) and for daytime at 250-m resolution. The algorithm employs a series of visible and infrared threshold and consistency tests to specify confidence levels that an unobstructed view of the Earth's surface is observed. The Terra MODIS Photovoltaic (PVLWIR) bands 27-30 are known to experience an electronic crosstalk contamination. The influence of the crosstalk has gradually increased over the mission lifetime, causing for example, earth surface features to become prominent in atmospheric band 27, increased detector striping, and long term drift in the radiometric bias of these bands. The drift has compromised the climate quality of C6 Terra MODIS L2 products that depend significantly on these bands, including cloud mask (MOD35), cloud fraction and cloud top properties (MOD06), and total precipitable water (MOD07). A linear crosstalk correction algorithm has been developed and tested by MCST.The electronic crosstalk correction was made to the calibration algorithm for bands 27-30 and implemented into C6.1 operational L1B processing. This implementation greatly improves the performance of the cloud mask. The shortname for this Level-2 MODIS cloud mask product is MYD35_L2 and the principal investigator for this product is MODIS scientist Dr. Paul Menzel ( paulm@ssec.wisc.edu). MYD35_L2 product files are stored in Hierarchical Data Format (HDF-EOS). Each of the 9 gridded parameters is stored as a Scientific Data Set (SDS) within the HDF-EOS file. The Cloud Mask and Quality Assurance SDS's are stored at 1 kilometer pixel resolution. All other SDS's (those relating to time, geolocation, and viewing geometry) are stored at 5 kilometer pixel resolution. MYD35_L2 Data Group and Parameters: Spatial and Temporal Resolution: Latitude and Longitude Scan start time Solar and Sensor Viewing Geometry: Solar zenith and Solar azimuth angle Sensor zenith and Sensor azimuth angle Science Parameters: Cloud Mask (1km) Cloud Mask (250 m) Quality Assurance Parameters: Quality Assurance Flags (1km) Link to the MODIS homepage for more data set information: https://modis-atmos.gsfc.nasa.gov/products/cloud-mask Link to the MODIS homepage for C6.1 changes: https://modis-atmos.gsfc.nasa.gov/documentation/collection-61", - "license": "proprietary" - }, - { - "id": "MYDAODHD_6.1NRT", - "title": "MODIS/Aqua L3 Value-added Aerosol Optical Depth - NRT", - "catalog": "LANCEMODIS STAC Catalog", - "state_date": "2017-10-20", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1427010664-LANCEMODIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1427010664-LANCEMODIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LANCEMODIS/collections/MYDAODHD_6.1NRT", - "description": "MODIS was launched aboard the Terra satellite on December 18, 1999 (10:30 am equator crossing time) as part of NASA's Earth Observing System (EOS) mission. MODIS with its 2330 km viewing swath width provides almost daily global coverage. It acquires data in 36 high spectral resolution bands between 0.415 to 14.235 micron with spatial resolutions of 250m(2 bands), 500m(5 bands),and 1000m (29 bands). MODIS sensor counts, calibrated radiances, geolocation products and all derived geophysical atmospheric and ocean products are archived at various DAACs and has been made available to public since April 2000. The shortname for this level-3 MODIS aerosol product is MYDAODHD. The Naval Research Laboratory and the University of North Dakota developed this value-added aerosol optical depth dataset based on MODIS Level 2 aerosol products. The MYDAODHD is a gridded product and is specifically designed for quantitative applications including data assimilation and model validation. It is available through LANCE-MODIS. It offers several enhancements over the MODIS Level 2 data on which it is based. These enhancements include stringent filtering to reduce outliers, eliminate cloud contamination, and exclude conditions where aerosol detection is likely to be inaccurate; reduction of systematic biases over land and ocean by empirical corrections; reduction of random variation in AOD values by spatial averaging; quantitative estimation of uncertainty for each AOD data point. The MxDAODHD granules are produced every six hours, and time-stamped 00:00, 06:00, 12:00, and 18:00 (all times UTC). Each granule includes MODIS observations from +/-3 hours from the timestamp (e.g. 12:00 product includes MODIS data from 09:00-15:00 UTC). Production is initiated as soon as the Level 2 inputs become available in the LANCE system. See the LANCE-MODIS page for more dataset information: https://earthdata.nasa.gov/earth-observation-data/near-real-time/download-nrt-data/modis-nrt", - "license": "proprietary" - }, - { - "id": "MYDARNSS_6.1", - "title": "MODIS/Aqua Atmosphere Aeronet Subsetting Product", - "catalog": "LAADS STAC Catalog", - "state_date": "2002-07-04", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1444624388-LAADS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1444624388-LAADS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LAADS/collections/MYDARNSS_6.1", - "description": "The MODIS/Aqua Atmosphere Aeronet Subsetting Product (MYDARNSS) consists of MODIS Atmosphere and Ancillary Products subsets that are generated over a number of Aerosol Robotic Network (AERONET) sites. These sites comprise of sites of automatic tracking Sun photometers/sky radiometers located all over the world. The process of generating cutouts involves locating and identifying a subset of sites taken from a global AERONET that are within the spatial coverage of a 5 minute Level 2 MODIS granule and extracting 0.5 x 0.5 degree cutouts. The MYDARNSS data set consists of subsets for around 180 AERONET sites around the globe. There is one file per site with 55 Science Data Sets (SDS) such as at-aperture radiances for 36 discrete MODIS bands, Cloud Mask, and Water Vapor, etc.", - "license": "proprietary" - }, - { - "id": "MYDATML2_6.1", - "title": "MODIS/Aqua Aerosol, Cloud and Water Vapor Subset 5-Min L2 Swath 5km and 10km", - "catalog": "LAADS STAC Catalog", - "state_date": "2002-07-04", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1444200390-LAADS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1444200390-LAADS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LAADS/collections/MYDATML2_6.1", - "description": "The MODIS/Aqua Aerosol, Cloud and Water Vapor Subset 5-Min L2 Swath 5km and 10km (MYDATML2) product contains a combination of key high interest science parameters. The ATML2 product provides a subset of datasets from the suite of atmosphere team products on both a 10 km scale (aerosols) and 5km scale (native 5 km cloud properties and a 5x5 pixel sample of the 1km cloud datasets). The ATML2 product employs the same 5x5 pixel sampling scheme for the 1km native resolution Level 2 products as is used in the MOD08 Level 3 global aggregated product, an approach that has been shown to retain statistical integrity for multi-day aggregations. The C6 significantly increases the number of datasets included in the ATML2 product, including the full suite of QA datasets. Since the ATML2 data granule file size is significantly smaller than the combined size of the individual L2 products, and because the 1 km pixel sampling is consistent with the L3 algorithm, the ATML2 product is a more practical means for the user community to develop research L3 algorithms for their own specific purposes. For more information, visit the MODIS Atmosphere website at: https://modis-atmos.gsfc.nasa.gov/products/joint-atm", - "license": "proprietary" - }, - { - "id": "MYDBMSS_6.1", - "title": "MODIS/Aqua Atmosphere BELMANIP Subsetting Product", - "catalog": "LAADS STAC Catalog", - "state_date": "2002-07-04", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1444780364-LAADS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1444780364-LAADS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LAADS/collections/MYDBMSS_6.1", - "description": "The MODIS/Aqua Atmosphere BELMANIP subsetting Product (MYDBMSS) consists of MODIS Atmosphere and Ancillary Products subsets that are generated over the Bench-mark Land Multisite Analysis and Intercomparison of Products (BELMANIP) sites. The BELMANIP sites is a network of sites, distributed globally and consist of existing networks such as Earth Observing System (EOS) Core Sites, Bigfoot, Validation of Land European Remote sensing Instruments (VALERI), a global network of micrometeorological flux measurement (FLUXNET), the aerosol robotic network (AERONET) and a set of additional sites.The process of generating cutouts for these sites involves locating and identifying a subset of sites taken from global BELMANIP sites that are within the spatial coverage of a 5 minute Level 2 MODIS granule and extracting 0.5 x 0.5 degree cutouts. The MODBMSS data set consists of subsets for approximately 445 sites around the globe. There is one file per site with 55 Science Data Sets (SDS) such as at-aperture radiances for 36 discrete MODIS bands, Cloud Mask, and Water Vapor, etc.", - "license": "proprietary" - }, - { - "id": "MYDCSR_B_6.1", - "title": "MODIS/Aqua 8-Day Clear Sky Radiance Bias Daily L3 Global 1Deg Zonal Bands", - "catalog": "LAADS STAC Catalog", - "state_date": "2002-07-04", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1444160046-LAADS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1444160046-LAADS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LAADS/collections/MYDCSR_B_6.1", - "description": "The MODIS/Aqua 8-Day Clear Sky Radiance Bias Daily L3 Global 1Deg Zonal Bands (MYDCSR_B) product consists of 1-degree zonal mean clear-sky biases (observed minus calculated radiance differences) and associated statistics for bands 31 and 33-36 for each day from the previous eight-day period. Zonal means (5-zone moving averages) are created from the eight-day, 25-km radiance differences for daytime land, nighttime land, and ocean data separately. Day and night land data are combined south of -60 degrees latitude due to poor clear-sky sampling and the difficulty of discriminating between clear and cloudy conditions in this region. The zonal mean biases are utilized to correct clear-sky radiance calculations in the cloud top pressure (CO2 slicing) algorithm. The files are in Hierarchical Data Format (HDF).", - "license": "proprietary" - }, - { - "id": "MYDFNSS_6.1", - "title": "MODIS/Aqua Atmosphere FluxNet Subsetting Product", - "catalog": "LAADS STAC Catalog", - "state_date": "2002-07-04", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1444318098-LAADS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1444318098-LAADS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LAADS/collections/MYDFNSS_6.1", - "description": "The MODIS/Aqua Atmosphere FluxNet Subsetting Product (MODFNSS) consists of MODIS Atmosphere and Ancillary Products subsets that are generated over a global network of micrometeorological flux measurement (FLUXNET) sites. The process of generating cutouts for these sites involves locating and identifying a subset of sites taken from a global FLUXNET that are within the spatial coverage of a 5 minute Level 2 MODIS granule and extracting 0.5 x 0.5 degree cutouts. The MODFNSS data set consists of subsets for around 400 sites out of the total flux tower sites around the globe. There is one file per site with around 55 Science Data Sets (SDS) such as at-aperture radiances for 36 discrete MODIS bands, Cloud Mask, and Water Vapor, etc", - "license": "proprietary" - }, - { - "id": "MYDGB0_6.1NRT", - "title": "MODIS/Aqua 5-minute GBAD data in L0 format - NRT", - "catalog": "LANCEMODIS STAC Catalog", - "state_date": "2017-10-20", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1427015288-LANCEMODIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1427015288-LANCEMODIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LANCEMODIS/collections/MYDGB0_6.1NRT", - "description": "MODIS/Aqua Near Real Time (NRT) 5-minute GBAD data in L0 format.", - "license": "proprietary" - }, - { - "id": "Marine Debris Dataset for Object Detection in Planetscope Imagery_1", - "title": "Marine Debris Dataset for Object Detection in Planetscope Imagery", - "catalog": "MLHUB STAC Catalog", - "state_date": "2016-09-28", - "end_date": "2019-04-18", - "bbox": "-88.2971191, 5.4683637, 34.5300293, 39.1087514", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2196591903-MLHUB.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2196591903-MLHUB.html", - "href": "https://cmr.earthdata.nasa.gov/stac/MLHUB/collections/Marine%20Debris%20Dataset%20for%20Object%20Detection%20in%20Planetscope%20Imagery_1", - "description": "Floating marine debris is a global pollution problem which leads to the loss of marine and terrestrial biodiversity. Large swaths of marine debris are also navigational hazards to ocean vessels. The use of Earth observation data and artificial intelligence techniques can revolutionize the detection of floating marine debris on satellite imagery and pave the way to a global monitoring system for controlling and preventing the accumulation of marine debris in oceans. This dataset consists of images of marine debris which are 256 by 256 pixels in size and labels which are bounding boxes with geographical coordinates. The images were obtained from PlanetScope optical imagery which has a spatial resolution of approximately 3 meters. In this dataset, marine debris consists of floating objects on the ocean surface which can belong to one or more classes namely plastics, algae, sargassum, wood, and other artificial items. Several studies were used for data collection and validation. While a small percentage of the dataset represents the coastlines of Ghana and Greece, most of the observations surround the Bay Islands in Honduras. The marine debris detection models created and the relevant code for using this dataset can be found here. https://github.com/NASA-IMPACT/marine_debris_ML", - "license": "proprietary" - }, - { - "id": "NASA_OMI_NA", - "title": "Aura OMI complete NASA dataset", - "catalog": "ESA STAC Catalog", - "state_date": "2004-10-01", - "end_date": "", - "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.", - "license": "proprietary" - }, - { - "id": "NEX-DCP30_1", - "title": "Downscaled 30 Arc-Second CMIP5 Climate Projections for Studies of Climate Change Impacts in the United States", - "catalog": "NCCS STAC Catalog", - "state_date": "1950-01-01", - "end_date": "2099-12-31", - "bbox": "-125.0208333, 24.0625, -66.4791667, 49.9375", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1542175061-NCCS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1542175061-NCCS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NCCS/collections/NEX-DCP30_1", - "description": "This NASA dataset is provided to assist the science community in conducting studies of climate change impacts at local to regional scales, and to enhance public understanding of possible future climate patterns and climate impacts at the scale of individual neighborhoods and communities. This dataset is intended for use in scientific research only, and use of this dataset for other purposes, such as commercial applications, and engineering or design studies is not recommended without consultation with a qualified expert. Community feedback to improve and validate the dataset for modeling usage is appreciated. Email comments to bridget@climateanalyticsgroup.org. Dataset File Name: NASA Earth Exchange (NEX) Downscaled Climate Projections (NEXDCP30), https://portal.nccs.nasa.gov/portal_home/published/NEX.html", - "license": "proprietary" - }, - { - "id": "NEX-GDDP_1", - "title": "NASA Earth Exchange Global Daily Downscaled Projections", - "catalog": "NCCS STAC Catalog", - "state_date": "1950-01-01", - "end_date": "2100-12-31", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1374483929-NCCS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1374483929-NCCS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NCCS/collections/NEX-GDDP_1", - "description": "The NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP) dataset is comprised of downscaled climate scenarios for the globe that are derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 5 (CMIP5) and across two of the four greenhouse gas emissions scenarios known as Representative Concentration Pathways (RCPs). The CMIP5 GCM runs were developed in support of the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5). The NEX-GDDP dataset includes downscaled projections for RCP 4.5 and RCP 8.5 from the 21 models and scenarios for which daily scenarios were produced and distributed under CMIP5. Each of the climate projections includes daily maximum temperature, minimum temperature, and precipitation for the periods from 1950 through 2100. The spatial resolution of the dataset is 0.25 degrees (~25 km x 25 km). The NEX-GDDP dataset is provided to assist the science community in conducting studies of climate change impacts at local to regional scales, and to enhance public understanding of possible future global climate patterns at the spatial scale of individual towns, cities, and watersheds. Each of the climate projections includes monthly averaged maximum temperature, minimum temperature, and precipitation for the periods from 1950 through 2005 (Retrospective Run) and from 2006 to 2099 (Prospective Run). ", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360181-OB_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360181-OB_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/OB_DAAC/collections/Catlin_Arctic_Survey_0", + "description": "Measurements made in the Arctic Ocean by the RV Catlin in 2011.", "license": "proprietary" }, { - "id": "NMMIEAI-L2-NRT_2", - "title": "OMPS-NPP L2 NM Aerosol Index swath orbital NRT", - "catalog": "OMINRT STAC Catalog", - "state_date": "2011-11-07", - "end_date": "", + "id": "EO:EUM:CM:METOP:ASCSZFR02_2014-10-07", + "title": "ASCAT L1 SZF Climate Data Record Release 2 - Metop", + "catalog": "EUMETSAT STAC Catalog", + "state_date": "2007-01-01", + "end_date": "2014-03-31", "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1657477341-OMINRT.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1657477341-OMINRT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/OMINRT/collections/NMMIEAI-L2-NRT_2", - "description": "The OMPS-NPP L2 NM Aerosol Index swath orbital V2 for Near Real Time. For the standard product see the OMPS_NPP_NMMIEAI_L2 product in CMR .The aerosol index is derived from normalized radiances using 2 wavelength pairs at 340 and 378.5 nm. Additionally, this data product contains measurements of normalized radiances, reflectivity, cloud fraction, reflectivity, and other ancillary variables. ", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901388-EUMETSAT.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901388-EUMETSAT.html", + "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ACM%3AMETOP%3AASCSZFR02_2014-10-07", + "description": "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). ", "license": "proprietary" }, { - "id": "NMSO2-PCA-L2-NRT_2", - "title": "OMPS/NPP PCA SO2 Total Column 1-Orbit L2 Swath 50x50km NRT", - "catalog": "OMINRT STAC Catalog", - "state_date": "2011-10-28", - "end_date": "", + "id": "EO:EUM:CM:METOP:ASCSZOR02_2014-10-07", + "title": "ASCAT L1 SZO Climate Data Record Release 2 - Metop", + "catalog": "EUMETSAT STAC Catalog", + "state_date": "2007-01-01", + "end_date": "2014-03-31", "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1439293808-OMINRT.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1439293808-OMINRT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/OMINRT/collections/NMSO2-PCA-L2-NRT_2", - "description": "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.", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901391-EUMETSAT.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901391-EUMETSAT.html", + "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ACM%3AMETOP%3AASCSZOR02_2014-10-07", + "description": "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). ", "license": "proprietary" }, { - "id": "NMTO3NRT_2", - "title": "OMPS-NPP L2 NM Ozone (O3) Total Column swath orbital NRT", - "catalog": "OMINRT STAC Catalog", - "state_date": "2011-10-28", - "end_date": "", + "id": "EO:EUM:CM:METOP:ASCSZRR02_2014-10-07", + "title": "ASCAT L1 SZR Climate Data Record Release 2 - Metop", + "catalog": "EUMETSAT STAC Catalog", + "state_date": "2007-01-01", + "end_date": "2014-03-31", "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1439272084-OMINRT.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1439272084-OMINRT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/OMINRT/collections/NMTO3NRT_2", - "description": "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.", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901394-EUMETSAT.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901394-EUMETSAT.html", + "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ACM%3AMETOP%3AASCSZRR02_2014-10-07", + "description": "Reprocessed L1B data from the Advanced Scatterometer (ASCAT) on METOP-A, resampled at 12.5 km Swath Grid (SZR). 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 25 km Swath Grid. This is a Fundamental Climate Data Record (FCDR). ", "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", + "id": "EO:EUM:CM:MSG:MSGAMVE0100_2015-06-01", + "title": "Atmospheric Motion Vectors - MSG - 0 degree (CF-015 Release 1)", + "catalog": "EUMETSAT STAC Catalog", + "state_date": "2004-03-01", + "end_date": "2012-12-31", + "bbox": "-65, -65, 65, 65", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1239566336-EUMETSAT.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1239566336-EUMETSAT.html", + "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ACM%3AMSG%3AMSGAMVE0100_2015-06-01", + "description": "This is the first release of the reprocessed SEVIRI Atmospheric Motion Vectors at all heights below the tropopause, derived from 4 channels (Visual 0.8, Water Vapour 6.2, Water Vapour 7.3, Infrared 10.8), all combined into one product. Vectors are derived by tracking the motion of clouds and other atmospheric constituents as water vapour patterns. The height assignment of the AMVs is calculated using the Cross-Correlation Contribution (CCC) function to determine the pixels that contribute the most to the vectors. An AMV product contains more than 30000 vectors depending of the time of the day. The final AMV product is BUFR encoded 3-hourly at every third quarter of the hour (e.g. 00:45, 01:45 ...). Note that the reprocessing was done using the latest version of the EUMETSAT software (Version 1.5.3, 2013) ingesting original level 1.5 SEVIRI images and the ECMWF ERA-interim as a as a forecast input re-analysis data. This is a Thematic Climate Data Record (TCDR).", "license": "proprietary" }, { - "id": "NPBUVO3-L2-NRT_2", - "title": "OMPS-NPP L2 NP Ozone (O3) Vertical Profile swath orbital NRT", - "catalog": "OMINRT STAC Catalog", - "state_date": "2011-10-28", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1439296101-OMINRT.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1439296101-OMINRT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/OMINRT/collections/NPBUVO3-L2-NRT_2", - "description": "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 in Near Real Time. 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 L2 NP Ozone data are written using the Hierarchical Data Format Version 5 or HDF5.", + "id": "EO:EUM:CM:MSG:MSGASRE0100_2015-06-01", + "title": "All-Sky Radiances - MSG - 0 degree (CF-015 Release 1)", + "catalog": "EUMETSAT STAC Catalog", + "state_date": "2004-03-01", + "end_date": "2012-12-31", + "bbox": "-79, -81, 79, 81", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1588876447-EUMETSAT.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1588876447-EUMETSAT.html", + "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ACM%3AMSG%3AMSGASRE0100_2015-06-01", + "description": "This is the first release of the reprocessed SEVIRI All-Sky Radiances (ASR) product. The ASR product contains information on mean brightness temperatures (16x16 pixels so around 50km at nadir) from all thermal (e.g. infrared and water vapour) channels. It includes both clear and cloudy sky brightness temperatures. The ASR product also contains the fraction of clear sky and the solar zenith angle. The final ASR product is BUFR encoded 3-hourly at every third quarter of the hour (e.g. 00:45, 01:45 ...).Note that the reprocessing was done using the latest version of the EUMETSAT software (Version 1.5.3, 2013) ingesting original level 1.5 SEVIRI images and the ECMWF ERA-interim as a as a forecast input re-analysis data.", "license": "proprietary" }, { - "id": "NRSCC_GLASS_ FAPAR_MODIS_0.05D_11", - "title": "NRSCC_GLASS_ FAPAR_MODIS_0.05D", - "catalog": "NRSCC STAC Catalog", - "state_date": "2010-02-18", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351149-NRSCC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351149-NRSCC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NRSCC/collections/NRSCC_GLASS_%20FAPAR_MODIS_0.05D_11", - "description": "This Global LAnd Surface Satellite (GLASS) Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) product was generated using MODIS products.", + "id": "EO:EUM:CM:MSG:MSGCSKR0100_2015-06-01", + "title": "Clear Sky Radiances - MSG - 0 degree (CF-015 Release 1)", + "catalog": "EUMETSAT STAC Catalog", + "state_date": "2004-03-01", + "end_date": "2012-12-31", + "bbox": "-79, -81, 79, 81", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1239566346-EUMETSAT.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1239566346-EUMETSAT.html", + "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ACM%3AMSG%3AMSGCSKR0100_2015-06-01", + "description": "This is the first release of the reprocessed SEVIRI Clear-Sky Radiances (CSR) product. The CSR product is a subset of the information derived during the Scenes Analysis processing. The product provides the brightness temperature for a subset of the MSG channels averaged over all pixels within a processing segment (16x16 pixels) which have been identified as clear (a minimum of 7 clear pixels are needed to compute the average). For the channel WV6.2 the CSR is also derived for areas containing low-level clouds. The CSR product also contains the fraction of clear sky and the solar zenith angle. The final CSR product is BUFR encoded 3-hourly at every third quarter of the hour (e.g. 00:45, 01:45 ...). Note that the reprocessing was done using the latest version of the EUMETSAT software (Version 1.5.3, 2013) ingesting original level 1.5 SEVIRI images and the ECMWF ERA-interim as a as a forecast input re-analysis data.", "license": "proprietary" }, { - "id": "NRSCC_GLASS_ FAPAR_MODIS_1KM_11", - "title": "NRSCC_GLASS_ FAPAR_MODIS_1KM", - "catalog": "NRSCC STAC Catalog", - "state_date": "2000-02-18", + "id": "EO:EUM:DAT:GOES:OSIDDLI_2011-10-07", + "title": "Daily Downward Longwave Irradiance - GOES", + "catalog": "EUMETSAT STAC Catalog", + "state_date": "2011-10-06", "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351155-NRSCC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351155-NRSCC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NRSCC/collections/NRSCC_GLASS_%20FAPAR_MODIS_1KM_11", - "description": "This Global LAnd Surface Satellite (GLASS) Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) product was developed using MODIS datasets.", + "bbox": "-135, -60, -15, 60", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1239566338-EUMETSAT.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1239566338-EUMETSAT.html", + "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ADAT%3AGOES%3AOSIDDLI_2011-10-07", + "description": "Estimation of the Downward Longwave Irradiance reaching the Earth surface, derived from the geostationary satellite GOES-E, produced by remapping over a 0.05\u00b0 regular grid and expressed in W/m2. Algorithm is a bulk parameterization that uses NWP model outputs to calculate a clear sky Downward Longwave Irradiance (DLI), corrected according to satellite derived cloud information. The daily value is the integration of all the hourly values in the UT day.", "license": "proprietary" }, { - "id": "NRSCC_GLASS_ LAI_AVHRR_0.05D_11", - "title": "NRSCC_GLASS_ LAI_AVHRR_0.05D", - "catalog": "NRSCC STAC Catalog", - "state_date": "1981-01-01", - "end_date": "2018-12-31", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351175-NRSCC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351175-NRSCC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NRSCC/collections/NRSCC_GLASS_%20LAI_AVHRR_0.05D_11", - "description": "This Global LAnd Surface Satellite (GLASS) Leaf Area Index (LAI) product was developed using AVHRR datasets.", + "id": "EO:EUM:DAT:GOES:OSIDSSI_2011-10-07", + "title": "Daily Shortwave Solar Irradiance - GOES", + "catalog": "EUMETSAT STAC Catalog", + "state_date": "2011-10-06", + "end_date": "", + "bbox": "-135, -60, -15, 60", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1239566380-EUMETSAT.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1239566380-EUMETSAT.html", + "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ADAT%3AGOES%3AOSIDSSI_2011-10-07", + "description": "Estimation of the solar irradiance reaching the Earth surface, derived from the geostationary satellite GOES-E, produced by remapping over a 0.05\u00b0 regular grid and expressed in W/m2. The daily value is the integration of all the hourly values in the UT day.", "license": "proprietary" }, { - "id": "NRSCC_GLASS_ LAI_MODIS_0.05D_11", - "title": "NRSCC_GLASS_ LAI_MODIS_0.05D", - "catalog": "NRSCC STAC Catalog", - "state_date": "2000-02-18", + "id": "EO:EUM:DAT:METEOSAT:OSIDDLI_2011-10-07", + "title": "Daily Downward Longwave Irradiance - MSG", + "catalog": "EUMETSAT STAC Catalog", + "state_date": "2011-10-06", "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351151-NRSCC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351151-NRSCC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NRSCC/collections/NRSCC_GLASS_%20LAI_MODIS_0.05D_11", - "description": "This Global LAnd Surface Satellite (GLASS) Leaf Area Index (LAI) product was developed using MODIS datasets.", + "bbox": "-60, -60, 60, 60", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1239566367-EUMETSAT.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1239566367-EUMETSAT.html", + "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ADAT%3AMETEOSAT%3AOSIDDLI_2011-10-07", + "description": "Estimation of the Downward Longwave Irradiance reaching the Earth surface, derived from the geostationary satellite Meteosat, derived at present from the 0.6\u00b5m visible channel of SEVIRI, produced by remapping over a 0.05\u00b0 regular grid and expressed in W/m2. Algorithm is a bulk parameterization that uses NWP model outputs to calculate a clear sky Downward Longwave Irradiance (DLI), corrected according to satellite derived cloud information. The daily value is the integration of all the hourly values in the UT day.", "license": "proprietary" }, { - "id": "NRSCC_GLASS_Albedo_AVHRR_11", - "title": "NRSCC_GLASS_Albedo_AVHRR", - "catalog": "NRSCC STAC Catalog", - "state_date": "2002-01-01", - "end_date": "2015-12-31", + "id": "EO:EUM:DAT:METOP:ASCAT12_2010-09-06", + "title": "ASCAT Winds at 12.5 km Swath Grid - Metop", + "catalog": "EUMETSAT STAC Catalog", + "state_date": "2008-12-31", + "end_date": "2011-02-28", "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351177-NRSCC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351177-NRSCC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NRSCC/collections/NRSCC_GLASS_Albedo_AVHRR_11", - "description": "Global high-resolution land surface albedo data from NOAA/AVHRR, generated by Global LAnd Surface Satellite (GLASS) Dataset production team.", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901384-EUMETSAT.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901384-EUMETSAT.html", + "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ADAT%3AMETOP%3AASCAT12_2010-09-06", + "description": "The ASCAT Wind Product contains measurements of the wind direction and wind speed at 10 m above the sea surface. The measurements are obtained through the processing of scatterometer data originating from the ASCAT instrument on EUMETSAT's Metop satellite, as described in the ASCAT Wind Product User Manual. Note that up until 2011-02-28, a wind-only version of this product in BUFR and netCDF formats was available via EUMETCast and the EUMETSAT Data Centre. From that date on, the wind values can be found in BUFR and netCDF formats in the ASCAT multi-parameter products (collection reference: EO:EUM:DAT:METOP:OAS012 and EO:EUM:DAT:METOP:OAS025). It is recommended that the reprocessed ASCAT winds data records (EO:EUM:DAT:METOP:OSI-150-B, EO:EUM:DAT:METOP:OSI-150-A) are used instead of this archived NRT product.", "license": "proprietary" }, { - "id": "NRSCC_GLASS_Albedo_MODIS_0.05D_11", - "title": "NRSCC_GLASS_Albedo_MODIS_0.05D", - "catalog": "NRSCC STAC Catalog", - "state_date": "2000-01-01", - "end_date": "2018-12-31", + "id": "EO:EUM:DAT:METOP:ASCAT25_2010-09-06", + "title": "ASCAT Winds at 25 km Swath Grid - Metop", + "catalog": "EUMETSAT STAC Catalog", + "state_date": "2007-10-15", + "end_date": "2011-02-28", "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351167-NRSCC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351167-NRSCC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NRSCC/collections/NRSCC_GLASS_Albedo_MODIS_0.05D_11", - "description": "The Global LAnd Surface Satellite (GLASS) Albedo product derived from MODIS. The horizontal resolution is 0.05 Degree.", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214560143-EUMETSAT.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214560143-EUMETSAT.html", + "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ADAT%3AMETOP%3AASCAT25_2010-09-06", + "description": "The ASCAT Wind Product contains measurements of the wind direction and wind speed at 10 m above the sea surface. The measurements are obtained through the processing of scatterometer data originating from the ASCAT instrument on EUMETSAT's Metop satellite, as described in the ASCAT Wind Product User Manual. Note that up until 2011-02-28, a wind-only version of this product in BUFR and netCDF formats was available via EUMETCast and the EUMETSAT Data Centre. From that date on, the wind values can be found in BUFR format in the ASCAT multi-parameter products (collection reference: EO:EUM:DAT:METOP:OAS012 and EO:EUM:DAT:METOP:OAS025). It is recommended that the reprocessed ASCAT winds data records (EO:EUM:DAT:METOP:OSI-150-B, EO:EUM:DAT:METOP:OSI-150-A) are used instead of this archived NRT product.", "license": "proprietary" }, { - "id": "NRSCC_GLASS_Albedo_MODIS_1KM_11", - "title": "NRSCC_GLASS_Albedo_MODIS_1KM", - "catalog": "NRSCC STAC Catalog", - "state_date": "2000-01-01", - "end_date": "2018-12-31", + "id": "EO:EUM:DAT:METOP:ASCSZF1B_2010-09-21", + "title": "ASCAT GDS Level 1 Sigma0 at Full Sensor Resolution - Metop", + "catalog": "EUMETSAT STAC Catalog", + "state_date": "2007-05-31", + "end_date": "", "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351152-NRSCC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351152-NRSCC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NRSCC/collections/NRSCC_GLASS_Albedo_MODIS_1KM_11", - "description": "The Global LAnd Surface Satellite (GLASS) Albedo product derived from MODIS. The horizontal resolution is 1KM.", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901397-EUMETSAT.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901397-EUMETSAT.html", + "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ADAT%3AMETOP%3AASCSZF1B_2010-09-21", + "description": "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 consists of geo-located radar backscatter values along the six ASCAT beams. The different beam measurements are not collocated into a regular swath grid and the individual measurements are not spatially averaged. The resolution of each of the 255 backscatter values per each beam varies slightly along the beam, but it is approximately 10km (in the along beam direction) x 25 km (across the beam). This product is usually referred to as 'ASCAT Level 1B Full resolution product'. Note that some of the data are reprocessed. Please refer to the associated product validation reports or product release notes for further information.", "license": "proprietary" }, { - "id": "NRSCC_GLASS_BBE_AVHRR_11", - "title": "NRSCC_GLASS_BBE_AVHRR", - "catalog": "NRSCC STAC Catalog", - "state_date": "1982-01-01", - "end_date": "2017-12-31", + "id": "EO:EUM:DAT:METOP:ASCSZO1B_2010-09-21", + "title": "ASCAT GDS Level 1 Sigma0 resampled at 25 km Swath Grid - Metop", + "catalog": "EUMETSAT STAC Catalog", + "state_date": "2007-03-01", + "end_date": "", "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351148-NRSCC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351148-NRSCC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NRSCC/collections/NRSCC_GLASS_BBE_AVHRR_11", - "description": "The Global LAnd Surface Satellite (GLASS) broadband emissivity (BBE) product derived from AVHRR.", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901403-EUMETSAT.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901403-EUMETSAT.html", + "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ADAT%3AMETOP%3AASCSZO1B_2010-09-21", + "description": "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. The product is available from the archive in 2 different spatial resolutions; 25 km and 12.5 km. Note that some of the data are reprocessed. Please refer to the associated product validation reports or product release notes for further information. Near real-time distribution discontinued on 29/09/2015 but the product contents are now available in the corresponding Level 2 product 'ASCAT Soil Moisture at 25 km Swath Grid'.", "license": "proprietary" }, { - "id": "NRSCC_GLASS_BBE_MODIS_0.05D_11", - "title": "NRSCC_GLASS_BBE_MODIS_0.05D", - "catalog": "NRSCC STAC Catalog", - "state_date": "2000-02-18", - "end_date": "2018-12-31", + "id": "EO:EUM:DAT:METOP:ASCSZR1B_2010-09-21", + "title": "ASCAT GDS Level 1 Sigma0 resampled at 12.5 km Swath Grid - Metop", + "catalog": "EUMETSAT STAC Catalog", + "state_date": "2007-03-01", + "end_date": "", "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351185-NRSCC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351185-NRSCC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NRSCC/collections/NRSCC_GLASS_BBE_MODIS_0.05D_11", - "description": "The Global LAnd Surface Satellite (GLASS) broadband emissivity (BBE) product derived from MODIS. The horizontal resolution is 0.05 Degree.", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901400-EUMETSAT.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901400-EUMETSAT.html", + "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ADAT%3AMETOP%3AASCSZR1B_2010-09-21", + "description": "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. The product is available from the archive in 2 different spatial resolutions; 25 km and 12.5 km. Note that some of the data are reprocessed. Please refer to the associated product validation reports or product release notes for further information. Near real-time distribution discontinued on 29/09/2015 but the product contents are now available in the corresponding Level 2 product 'ASCAT Soil Moisture at 12.5 km Swath Grid'.", "license": "proprietary" }, { - "id": "NRSCC_GLASS_BBE_MODIS_1KM_11", - "title": "NRSCC_GLASS_BBE_MODIS_1KM", - "catalog": "NRSCC STAC Catalog", - "state_date": "2000-02-18", - "end_date": "2018-12-31", + "id": "EO:EUM:DAT:METOP:OSI-104_2011-09-28", + "title": "ASCAT Coastal Winds at 12.5 km Swath Grid - Metop", + "catalog": "EUMETSAT STAC Catalog", + "state_date": "1970-01-01", + "end_date": "", "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351153-NRSCC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351153-NRSCC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NRSCC/collections/NRSCC_GLASS_BBE_MODIS_1KM_11", - "description": "NRSCC_GLASS_BBE_MODIS_1KM", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901378-EUMETSAT.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901378-EUMETSAT.html", + "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ADAT%3AMETOP%3AOSI-104_2011-09-28", + "description": "Equivalent neutral 10m winds over the global oceans, with specific sampling to provide as many observations as possible near the coasts. Better than using this archived NRT product, please use the reprocessed ASCAT winds data records (EO:EUM:DAT:METOP:OSI-150-A, EO:EUM:DAT:METOP:OSI-150-B).", "license": "proprietary" }, { - "id": "NRSCC_GLASS_DSR_MODIS_0.05D_11", - "title": "NRSCC_GLASS_DSR_MODIS_0.05D", - "catalog": "NRSCC STAC Catalog", - "state_date": "2000-02-24", + "id": "EO:EUM:DAT:METOP:SOMO12_2010-06-21", + "title": "ASCAT Soil Moisture at 12.5 km Swath Grid - Metop", + "catalog": "EUMETSAT STAC Catalog", + "state_date": "2007-06-01", "end_date": "", "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351174-NRSCC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351174-NRSCC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NRSCC/collections/NRSCC_GLASS_DSR_MODIS_0.05D_11", - "description": "This Global LAnd Surface Satellite (GLASS) Downward Shortwave Radiation (DSR) product was developed using MODIS datasets.", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901376-EUMETSAT.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901376-EUMETSAT.html", + "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ADAT%3AMETOP%3ASOMO12_2010-06-21", + "description": "The Surface Soil Moisture L2 product is derived from the Advanced SCATterometer (ASCAT) data and given in swath geometry. This product provides an estimate of the water saturation of the 5 cm topsoil layer, in relative units between 0 and 100 [%]. The algorithm used to derive this parameter is based on a linear relationship of soil moisture and scatterometer backscatter and uses change detection techniques to eliminate the contributions of vegetation, land cover and surface topography, considered invariant from year to year. Seasonal vegetation effects are modelled by exploiting the multiple viewing capabilities of ASCAT. The processor has been developed by the Institute of Photogrammetry and Remote Sensing of the Vienna University of Technology. Note that some of the data are reprocessed. Please refer to the associated product validation reports or product release notes for further information.", "license": "proprietary" }, { - "id": "NRSCC_GLASS_ET_AVHRR_0.05D_11", - "title": "NRSCC_GLASS_ET_AVHRR_0.05D", - "catalog": "NRSCC STAC Catalog", - "state_date": "1982-01-01", - "end_date": "2018-12-31", + "id": "EO:EUM:DAT:METOP:SOMO25_2010-06-21", + "title": "ASCAT Soil Moisture at 25 km Swath Grid - Metop", + "catalog": "EUMETSAT STAC Catalog", + "state_date": "2007-06-01", + "end_date": "", "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351169-NRSCC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351169-NRSCC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NRSCC/collections/NRSCC_GLASS_ET_AVHRR_0.05D_11", - "description": "The Global LAnd Surface Satellite (GLASS) Latent Heat (ET) product derived from AVHRR. The horizontal resolution is 0.05 Decimal Degrees.", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901374-EUMETSAT.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901374-EUMETSAT.html", + "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ADAT%3AMETOP%3ASOMO25_2010-06-21", + "description": "The Surface Soil Moisture L2 product is derived from the Advanced SCATterometer (ASCAT) data and given in swath geometry. This product provides an estimate of the water saturation of the 5 cm topsoil layer, in relative units between 0 and 100 [%]. The algorithm used to derive this parameter is based on a linear relationship of soil moisture and scatterometer backscatter and uses change detection techniques to eliminate the contributions of vegetation, land cover and surface topography, considered invariant from year to year. Seasonal vegetation effects are modelled by exploiting the multiple viewing capabilities of ASCAT. The processor has been developed by the Institute of Photogrammetry and Remote Sensing of the Vienna University of Technology. Note that some of the data are reprocessed. Please refer to the associated product validation reports or product release notes for further information.", "license": "proprietary" }, { - "id": "NRSCC_GLASS_ET_MODIS_0.05D_11", - "title": "NRSCC_GLASS_ET_MODIS_0.05D", - "catalog": "NRSCC STAC Catalog", - "state_date": "2000-02-18", - "end_date": "2018-12-31", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351150-NRSCC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351150-NRSCC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NRSCC/collections/NRSCC_GLASS_ET_MODIS_0.05D_11", - "description": "The Global LAnd Surface Satellite (GLASS) Latent heat (ET) product derived from MODIS. The horizontal resolution is 0.05 Decimal Degrees.", + "id": "EO:EUM:DAT:MULT:AHL-DLI_2011-11-29", + "title": "Atlantic High Latitude Downward Longwave Irradiance - Multimission", + "catalog": "EUMETSAT STAC Catalog", + "state_date": "2012-11-16", + "end_date": "", + "bbox": "-90, 50, 90, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1239566351-EUMETSAT.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1239566351-EUMETSAT.html", + "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ADAT%3AMULT%3AAHL-DLI_2011-11-29", + "description": "Daily averaged estimation of the Downward Longwave Irradiance reaching the Earth surface, derived from AVHRR on NOAA and Metop polar orbiting satellites. The product covers the Atlantic High Latitudes, is delivered on a 5km polar stereographic grid and expressed in W/m2.", "license": "proprietary" }, { - "id": "NRSCC_GLASS_ET_MODIS_1KM_11", - "title": "NRSCC_GLASS_ET_MODIS_1KM", - "catalog": "NRSCC STAC Catalog", - "state_date": "2000-02-18", - "end_date": "2018-12-31", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351141-NRSCC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351141-NRSCC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NRSCC/collections/NRSCC_GLASS_ET_MODIS_1KM_11", - "description": "The Global LAnd Surface Satellite (GLASS) Latent heat (ET) product derived from MODIS. The horizontal resolution is 1 KM.", + "id": "EO:EUM:DAT:MULT:AHL-SSI_2011-11-29", + "title": "Atlantic High Latitude Surface Shortwave Irradiance - Multimission", + "catalog": "EUMETSAT STAC Catalog", + "state_date": "2012-11-16", + "end_date": "", + "bbox": "-90, 50, 90, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1239566383-EUMETSAT.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1239566383-EUMETSAT.html", + "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ADAT%3AMULT%3AAHL-SSI_2011-11-29", + "description": "Daily averaged estimation of the Surface Shortwave Irradiance reaching the Earth surface, derived from AVHRR on NOAA and Metop polar orbiting satellites. The product covers the Atlantic High Latitudes, is delivered on a 5km polar stereographic grid and expressed in W/m2.", "license": "proprietary" }, { - "id": "NRSCC_GLASS_FAPAR_AVHRR_0.05D_11", - "title": "NRSCC_GLASS_FAPAR_AVHRR_0.05D", - "catalog": "NRSCC STAC Catalog", - "state_date": "1982-01-01", - "end_date": "2018-12-31", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351170-NRSCC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351170-NRSCC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NRSCC/collections/NRSCC_GLASS_FAPAR_AVHRR_0.05D_11", - "description": "The Global LAnd Surface Satellite (GLASS) Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) product derived from AVHRR. The horizontal resolution is 0.05 Decimal Degrees.", + "id": "EO:EUM:DAT:MULT:AHL-SST_2011-11-29", + "title": "Atlantic High Latitude Sea Surface Temperature - Multimission", + "catalog": "EUMETSAT STAC Catalog", + "state_date": "2012-11-16", + "end_date": "", + "bbox": "-90, 50, 90, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1239566384-EUMETSAT.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1239566384-EUMETSAT.html", + "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO%3AEUM%3ADAT%3AMULT%3AAHL-SST_2011-11-29", + "description": "Calculation of underskin temperature (\u00b0C) with multispectral algorithm. The product covers the Atlantic High Latitudes and is delivered twice daily on a 5km polar stereographic grid.", "license": "proprietary" }, { - "id": "NRSCC_GLASS_FVC_AVHRR_0.05D_11", - "title": "NRSCC_GLASS_FVC_AVHRR_0.05D", - "catalog": "NRSCC STAC Catalog", - "state_date": "1982-01-01", - "end_date": "", + "id": "ERS-1_L0_1", + "title": "ERS-1_LEVEL0", + "catalog": "ASF STAC Catalog", + "state_date": "1991-08-08", + "end_date": "1997-09-29", "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351186-NRSCC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351186-NRSCC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NRSCC/collections/NRSCC_GLASS_FVC_AVHRR_0.05D_11", - "description": "This Global LAnd Surface Satellite (GLASS) Fractional vegetation cover (FVC) product was developed using AVHRR datasets.", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1210197768-ASF.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1210197768-ASF.html", + "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections/ERS-1_L0_1", + "description": "ERS-1 Standard Beam Level 0 Frame", "license": "proprietary" }, { - "id": "NRSCC_GLASS_FVC_MODIS_0.05D_11", - "title": "NRSCC_GLASS_FVC_MODIS_0.05D", - "catalog": "NRSCC STAC Catalog", - "state_date": "2000-02-18", - "end_date": "", + "id": "ERS-1_L1_1", + "title": "ERS-1_LEVEL1", + "catalog": "ASF STAC Catalog", + "state_date": "1991-08-08", + "end_date": "1997-09-29", "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351160-NRSCC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351160-NRSCC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NRSCC/collections/NRSCC_GLASS_FVC_MODIS_0.05D_11", - "description": "This Global LAnd Surface Satellite (GLASS) Fractional vegetation cover (FVC) product was developed using MODIS datasets.", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1211627521-ASF.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1211627521-ASF.html", + "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections/ERS-1_L1_1", + "description": "ERS-1 Standard Beam Data Level 1", "license": "proprietary" }, { - "id": "NRSCC_GLASS_FVC_MODIS_500M_11", - "title": "NRSCC_GLASS_FVC_MODIS_500M", - "catalog": "NRSCC STAC Catalog", - "state_date": "2000-02-18", + "id": "GE01_MSI_L1B_1", + "title": "GeoEye-1 Level 1B Multispectral 4-Band Satellite Imagery", + "catalog": "CSDA STAC Catalog", + "state_date": "2009-01-01", "end_date": "", "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351171-NRSCC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351171-NRSCC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NRSCC/collections/NRSCC_GLASS_FVC_MODIS_500M_11", - "description": "This Global LAnd Surface Satellite (GLASS) Fractional vegetation cover (FVC) product was developed using MODIS datasets.", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2471470251-CSDA.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2471470251-CSDA.html", + "href": "https://cmr.earthdata.nasa.gov/stac/CSDA/collections/GE01_MSI_L1B_1", + "description": "The GeoEye-1 Level 1B Multispectral 4-Band L1B Satellite Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery is collected by the GeoEye-1 satellite using the GeoEye-1 Imaging System across the global land surface from September 2008 to the present. This satellite imagery is in the visible and near-infrared waveband range with data in the blue, green, red, and near-infrared wavelengths. The imagery has a spatial resolution of 1.84m at nadir (1.65m before summer 2013) and has 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.", "license": "proprietary" }, { - "id": "NRSCC_GLASS_GPP_AVHRR_0.05D_11", - "title": "NRSCC_GLASS_GPP_AVHRR_0.05D", - "catalog": "NRSCC STAC Catalog", - "state_date": "1982-01-01", + "id": "GE01_Pan_L1B_1", + "title": "GeoEye-1 Level 1B Panchromatic Satellite Imagery", + "catalog": "CSDA STAC Catalog", + "state_date": "2009-09-18", "end_date": "", "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351165-NRSCC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351165-NRSCC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NRSCC/collections/NRSCC_GLASS_GPP_AVHRR_0.05D_11", - "description": "This Global LAnd Surface Satellite (GLASS) Gross Primary Production (GPP) product was developed using AVHRR datasets.", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2497510652-CSDA.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2497510652-CSDA.html", + "href": "https://cmr.earthdata.nasa.gov/stac/CSDA/collections/GE01_Pan_L1B_1", + "description": "The GeoEye-1 Level 1B Panchromatic Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery is collected by the GeoEye-1 satellite using the GeoEye-1 Imaging System across the global land surface from September 2008 to the present. This data product includes panchromatic imagery with a spatial resolution of 0.46m at nadir (0.41m before summer 2013) 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.", "license": "proprietary" }, { - "id": "NRSCC_GLASS_GPP_AVHRR_0.05D_YEARLY_11", - "title": "NRSCC_GLASS_GPP_AVHRR_0.05D_YEARLY", - "catalog": "NRSCC STAC Catalog", - "state_date": "1982-01-01", + "id": "GreenBay_0", + "title": "2010 Measurements made in Green Bay, Wisconsin", + "catalog": "OB_DAAC STAC Catalog", + "state_date": "2010-09-17", "end_date": "", "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351154-NRSCC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351154-NRSCC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NRSCC/collections/NRSCC_GLASS_GPP_AVHRR_0.05D_YEARLY_11", - "description": "This Global LAnd Surface Satellite (GLASS) Gross Primary Productivity (GPP) yearly product was developed using AVHRR datasets.", - "license": "proprietary" - }, - { - "id": "NSIDC-0194_1", - "title": "AMMR Air and Brightness Temperature Data, Wakasa Bay, Version 1", - "catalog": "NSIDCV0 STAC Catalog", - "state_date": "2003-01-14", - "end_date": "2003-02-03", - "bbox": "134.0313, 30.6763, 150.3528, 41.476", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386204122-NSIDCV0.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386204122-NSIDCV0.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections/NSIDC-0194_1", - "description": "The Wakasa Bay Field Campaign was conducted to validate rainfall algorithms developed for the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E).", - "license": "proprietary" - }, - { - "id": "NSIDC-0212_1", - "title": "Airborne Cloud Radar (ACR) Reflectivity, Wakasa Bay, Japan, Version 1", - "catalog": "NSIDCV0 STAC Catalog", - "state_date": "2003-01-14", - "end_date": "2003-02-03", - "bbox": "130, 30, 150, 40", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386204153-NSIDCV0.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386204153-NSIDCV0.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections/NSIDC-0212_1", - "description": "This data set includes 94 GHz co- and cross-polarized radar reflectivity. The Airborne Cloud Radar (ACR) sensor was mounted to a NASA P-3 aircraft flown over the Sea of Japan, the Western Pacific Ocean, and the Japanese Islands.", - "license": "proprietary" - }, - { - "id": "NSIDC-0326_1", - "title": "Ablation Rates of Taylor Glacier, Antarctica, Version 1", - "catalog": "NSIDCV0 STAC Catalog", - "state_date": "2002-11-19", - "end_date": "2011-01-12", - "bbox": "160.1, -77.9, 162.2, -77.6", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250376-NSIDCV0.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250376-NSIDCV0.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections/NSIDC-0326_1", - "description": "This data set provides glacier surface ablation rates for a network of approximately 250 sites on Taylor Glacier, spanning a period from 2003 to 2011. Here sublimation is the dominant ablation mechanism, though a few sites have accumulation. Ablation data are provided in meters water equivalent per year. Data are available via FTP in space-delimited ASCII format.", - "license": "proprietary" - }, - { - "id": "NSIDC-0334_1", - "title": "Airborne Laser Altimetry of the Thwaites Glacier Catchment, West Antarctica, Version 1", - "catalog": "NSIDCV0 STAC Catalog", - "state_date": "2004-12-10", - "end_date": "2005-01-29", - "bbox": "-130, -80, -95, -75", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386204328-NSIDCV0.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386204328-NSIDCV0.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections/NSIDC-0334_1", - "description": "This data set includes airborne altimetry collected over the catchment and main trunk of Thwaites Glacier, one of Antarctica's most active ice streams.", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360352-OB_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360352-OB_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/OB_DAAC/collections/GreenBay_0", + "description": "Measurements made in Green Bay, Wisconsin in 2010.", "license": "proprietary" }, { - "id": "NSIDC-0504_1", - "title": "Alkanes in Firn Air Samples, Antarctica and Greenland, Version 1", - "catalog": "NSIDCV0 STAC Catalog", - "state_date": "2005-12-01", - "end_date": "2009-01-31", - "bbox": "-38.3833, -79.47, 112.09, 72.5833", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250699-NSIDCV0.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250699-NSIDCV0.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections/NSIDC-0504_1", - "description": "This data set contains ethane, propane, and n-butane measurements in firn air from the South Pole and the West Antarctic Ice Sheet (WAIS) Divide in Antarctica, and from Summit, Greenland. The WAIS Divide and South Pole samples were collected in December to January of of 2005/06 and 2008/09, respectively. The Summit firn was sampled in the summer of 2006. Analyses were conducted on a gas chromatography - mass spectrometry (GC-MS) system at the University of California, Irvine. Measurements and the associated uncertainties are reported as dry air molar mixing ratios in part per trillion (ppt). The reported measurements for each sampling depth represent a mean of multiple measurements on more than one flask in most cases. Data are available via FTP in Microsoft Excel (.xls) format.", + "id": "IKONOS_MSI_L1B_1", + "title": "IKONOS Level 1B Multispectral 4-Band Satellite Imagery", + "catalog": "CSDA STAC Catalog", + "state_date": "1999-10-14", + "end_date": "2015-03-31", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2497453433-CSDA.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2497453433-CSDA.html", + "href": "https://cmr.earthdata.nasa.gov/stac/CSDA/collections/IKONOS_MSI_L1B_1", + "description": "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.", "license": "proprietary" }, { - "id": "NSIDC-0517_1", - "title": "AGASEA Ice Thickness Profile Data from the Amundsen Sea Embayment, Antarctica, Version 1", - "catalog": "NSIDCV0 STAC Catalog", - "state_date": "2004-12-10", - "end_date": "2005-01-29", - "bbox": "-125, -83, -90, -73", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386205339-NSIDCV0.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386205339-NSIDCV0.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections/NSIDC-0517_1", - "description": "This data set contains line-based radar-derived ice thickness and bed elevation data, collected as part of the Airborne Geophysical Survey of the Amundsen Embayment (AGASEA) expedition, which took place over Thwaites Glacier in West Antarctica from 2004 to 2005.", + "id": "IKONOS_Pan_L1B_1", + "title": "IKONOS Level 1B Panchromatic Satellite Imagery", + "catalog": "CSDA STAC Catalog", + "state_date": "1999-10-24", + "end_date": "2015-03-31", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2497468825-CSDA.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2497468825-CSDA.html", + "href": "https://cmr.earthdata.nasa.gov/stac/CSDA/collections/IKONOS_Pan_L1B_1", + "description": "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.", "license": "proprietary" }, { - "id": "NSIDC-0539_1", - "title": "Abrupt Change in Atmospheric CO2 During the Last Ice Age, Version 1", - "catalog": "NSIDCV0 STAC Catalog", - "state_date": "2009-01-01", - "end_date": "2012-12-31", - "bbox": "-148.82, -81.66, -119.83, -80.01", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386205485-NSIDCV0.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386205485-NSIDCV0.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections/NSIDC-0539_1", - "description": "During the last glacial period atmospheric carbon dioxide and temperature in Antarctica varied in a similar fashion on millennial time scales, but previous work indicates that these changes were gradual. In a detailed analysis of one event, we now find that approximately half of the CO2 increase that occurred during the 1500 year cold period between Dansgaard-Oeschger (DO) Events 8 and 9 happened rapidly, over less than two centuries. This rise in CO2 was synchronous with, or slightly later than, a rapid increase of Antarctic temperature inferred from stable isotopes.", + "id": "IMS1_HYSI_GEO_1.0", + "title": "IMS-1 HYSI TOA Radiance and Reflectance Product", + "catalog": "ISRO STAC Catalog", + "state_date": "2008-06-22", + "end_date": "2012-09-10", + "bbox": "-6.0364, -78.8236, 152.6286, 78.6815", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214622602-ISRO.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214622602-ISRO.html", + "href": "https://cmr.earthdata.nasa.gov/stac/ISRO/collections/IMS1_HYSI_GEO_1.0", + "description": "The data received from IMS1, HySI which operates in 64 spectral bands in VNIR bands(400-900nm) with 500 meter spatial resolution and swath of 128 kms.", "license": "proprietary" }, { - "id": "NSIDC-0541_1", - "title": "Allan Hills Stable Water Isotopes, Version 1", - "catalog": "NSIDCV0 STAC Catalog", - "state_date": "2009-01-01", - "end_date": "2011-12-31", - "bbox": "159, -76.83, 159.25, -75.67", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250706-NSIDCV0.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250706-NSIDCV0.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections/NSIDC-0541_1", - "description": "This data set includes stable water isotope values at 10 m resolution along an approximately 5 km transect through the main icefield of the Allan Hills Blue Ice Area, and at 15 cm within a 225 m core drilled at the midpoint of the transect.", + "id": "K1VHR_L02_OLR_Not provided", + "title": "KALPANA-1 Level-2B Outgoing Longwave Radiation", + "catalog": "ISRO STAC Catalog", + "state_date": "2008-05-06", + "end_date": "", + "bbox": "0.843296, -81.04153, 163.15671, 81.04153", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214622569-ISRO.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214622569-ISRO.html", + "href": "https://cmr.earthdata.nasa.gov/stac/ISRO/collections/K1VHR_L02_OLR_Not%20provided", + "description": "Kalpana-1 VHRR Level-2B Outgoing Longwave Radation (OLR) in HDF-5 Format", "license": "proprietary" }, { - "id": "NSIDC-0596_1", - "title": "17O Excess from WAIS Divide, 0 to 25 ka BP, Version 1", - "catalog": "NSIDCV0 STAC Catalog", - "state_date": "2007-11-01", - "end_date": "2012-02-01", - "bbox": "-158.72, -81.67, -112.08, -77.79", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386205647-NSIDCV0.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386205647-NSIDCV0.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections/NSIDC-0596_1", - "description": "This data set contains the VSMOW-SLAP d17O, d18O, and 17O-excess data from the WAIS Divide Ice Core Project, Siple Dome and Taylor Dome, along with the published and VSMOW-SLAP normalized d17O, d18O, and 17O-excess for Vostok [Landais et al. 2008], EPICA Dome C and Talos Dome [Winkler et al., 2012]. The data cover the Last Glacial Maximum (25-20 ka), through the Early Holocene (12-9 ka) and into present-day (past 2 kyr)", + "id": "MURI_Camouflage_0", + "title": "A Multi University Research Initiative (MURI) Camouflage Project", + "catalog": "OB_DAAC STAC Catalog", + "state_date": "2010-06-14", + "end_date": "", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360494-OB_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360494-OB_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/OB_DAAC/collections/MURI_Camouflage_0", + "description": "A Multi University Research Initiative was funded to study the biological response to the dynamic, polarized light field in distinct water types. During June 2010, a campaign was undertaken in the coastal waters off Port Aransas, Texas to study the angular/temporal distribution of polarization in multiple environment types (eutrophic sediment laden coastal waters, oligotrophic off-shore), as well as the polarization-reflectance responses of several organisms. In addition to radiometric polarization measurements, water column IOPs, Rrs, benthic reflectance, and pigment concentration measurements were collected. Later campaigns expanded this research in the coastal waters off the Florida Keys.", "license": "proprietary" }, { - "id": "NSIDC-0634_1", - "title": "Alaska Tidewater Glacier Terminus Positions, Version 1", - "catalog": "NSIDCV0 STAC Catalog", - "state_date": "1948-01-01", - "end_date": "2012-12-31", - "bbox": "-151, 56.5, -132, 61.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250732-NSIDCV0.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1386250732-NSIDCV0.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDCV0/collections/NSIDC-0634_1", - "description": "This data set contains Alaska tidewater glacier terminus positions digitized from USGS topographic maps and Landsat images.", + "id": "MURI_HI_0", + "title": "A Multi University Research Initiative (MURI) near the Hawaiian Islands", + "catalog": "OB_DAAC STAC Catalog", + "state_date": "2012-05-31", + "end_date": "", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360508-OB_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360508-OB_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/OB_DAAC/collections/MURI_HI_0", + "description": "Measurements taken by the RV Kilo Moana in 2012 near the Hawaiian Islands.", "license": "proprietary" }, { @@ -6291,97 +1130,6 @@ "description": "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.", "license": "proprietary" }, - { - "id": "OMAERUV_003", - "title": "OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 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/C1000000120-OMINRT.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000120-OMINRT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/OMINRT/collections/OMAERUV_003", - "description": "The OMI/Aura level-2 near UV Aerosol data product 'OMAERUV', recently re-processed using an enhanced algorithm, is now released (April 2012) to the public. The data is available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC), http://disc.gsfc.nasa.gov/Aura/OMI/omaeruv_v003.shtml NASA Aura satellite sensors are tracking important atmospheric pollutants from space since its launch in July, 2004. The Ozone Monitoring Instrument(OMI), one of the four Aura satellite sensors with its 2600 km viewing swath width provides daily global measurements of four important US Environmental Protection Agency criteria pollutants (Tropospheric ozone, Nitrogen dioxide,Sulfur dioxide and Aerosols from biomass burning and industrial emissions, HCHO, BrO, OClO and surface UV irradiance. 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 (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). The Level-2 OMI Aerosol Product OMAERUV from the Aura-OMI is now available from NASAs GSFC Earth Sciences (GES) Data and Information Services Center (DISC) for public access. OMAERUV retrieval algorithm is developed by the US OMI Team Scientists. Dr. Omar Torres (GSFC/NASA) is the principal investigator of this product. The OMAERUV product contains Aerosol Absorption and Aerosol Extinction Optical Depths, and Single Scattering Albedo at three different wavelengths (354, 388 and 500 nm), Aerosol Index, and other ancillary and geolocation parameters, in the OMI field of view (13x24 km). Another standard OMI aerosol product is OMAERO, that is based on the KNMI multi-wavelength spectral fitting algorithm. OMAERUV 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 OMAERUV data product is about 6 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 A short OMAERUV Readme Document that includes brief algorithm description and currently known data quality issues is provided by the OMAERUV Algorithm lead (see http://disc.gsfc.nasa.gov/Aura/OMI/omaeruv_v003.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/ . OMAERUV Data Groups and Parameters: The OMAERUV data file contains a swath which consists of two groups: Data fields: Total Aerosol Optical Depth (extinction optical depth) and Aerosol Absorption Optical Depths (at 354, 388 and 500 nm), Single Scattering Albedo, UV Aerosol Index, Visible Aerosol Index, and other intermediate and ancillary parameters (e.g. Estimates of Aerosol Total Extinction and Absorption Optical Depths and Single Scattering Albedo at five atmospheric levels, Aerosol Type, Aerosol Layer Height, Normalized Radiance, Lambert equivalent Reflectivity, Surface Albedo, Imaginary Component of Refractive Index) and Data Quality Flags. Geolocation Fields: Latitude, Longitude, Time(TAI93), Seconds, Solar Zenith Angles, Viewing Zenith Angles, Relative Azimuth Angle, Terrain Pressure, Ground Pixel Quality Flags. For the full set of Aura products available from the GES DISC, please see the link below. http://disc.sci.gsfc.nasa.gov/Aura/ Atmospheric Composition data from Aura and other satellite sensors can be ordered from the following sites: http://disc.sci.gsfc.nasa.gov/acdisc/ ", - "license": "proprietary" - }, - { - "id": "OMCLDRR_003", - "title": "OMI/Aura Cloud Pressure and Fraction (Raman Scattering) 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/C1000000100-OMINRT.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000100-OMINRT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/OMINRT/collections/OMCLDRR_003", - "description": "The reprocessed Aura OMI Version 003 Level 2 Cloud Data Product OMCLDRR is made available (in April 2012) to the public from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). http://disc.gsfc.nasa.gov/Aura/OMI/omcldrr_v003.shtml ) Aura OMI provides two Level-2 Cloud products (OMCLDRR and OMCLDO2) at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms, the Rotational Raman Scattering method and the O2-O2 absorption method. This level-2 global cloud product (OMCLDRR) provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI Cloud Pressure and Fraction product is OMCLDRR and the algorithm lead for this product is NASA OMI scientist Dr. Joanna Joinner. OMCLDRR 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 OMCLDRR data product is about 9 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 . A short OMCLDRR Readme Document that includes brief algorithm description and data quality is also provided by the OMCLDRR Algorithm lead. 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. 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 are archived at the NASA GES DISC. For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/instruments/omi/ http://www.knmi.nl/omi/research/documents/ . Data Category Parameters: The OMCLDRR data file contains one swath which consists of two groups: Data fields: Two Effective Cloud Fraction and two Cloud Top Pressures that are based on two different clear and cloudy scene reflectivity criteria, Chlorophyll Amount, Effective Reflectivity (394.1 micron), UV Aerosol Index (based on 360 and 388 nm), and many Auxiliary Algorithm Parameter and Quality Flags. Geolocation Fields: Latitude, Longitude, Time, Solar Zenith Angle, Viewing Zenith Angle, Relative Azimuth Angle, Terrain Height, and Ground Pixel Quality Flags. OMI Atmospheric data and documents are available from the following sites: http://disc.gsfc.nasa.gov/Aura/OMI/ http://mirador.gsfc.nasa.gov/", - "license": "proprietary" - }, - { - "id": "OMICOL3NRT_3", - "title": "Ozone Monitoring Instrument Near Real Time Data for v3", - "catalog": "OMINRT STAC Catalog", - "state_date": "1970-01-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000040-OMINRT.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000040-OMINRT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/OMINRT/collections/OMICOL3NRT_3", - "description": "This collection contains Near Real Time Data from the Ozone Monitoring Instrument(OMI).The OMI instrument employs hyperspectral imaging in a push-broom mode to observe solar backscatter radiation in the visible and ultraviolet.", - "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": "OMTO3_003", - "title": "OMI/Aura Ozone (O3) 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/C1000000140-OMINRT.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000140-OMINRT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/OMINRT/collections/OMTO3_003", - "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": "OMTO3e_003", - "title": "OMI/Aura Ozone (O3) Total Column Daily L3 Global 0.25deg Lat/Lon Grid 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/C1428966163-OMINRT.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1428966163-OMINRT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/OMINRT/collections/OMTO3e_003", - "description": "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) .", - "license": "proprietary" - }, - { - "id": "PM1EPHND_NRT_6.1NRT", - "title": "MODIS/Aqua 24-hour Spacecraft ephemeris/orbit data files to be read via SDP Toolkit Binary Format - NRT", - "catalog": "LANCEMODIS STAC Catalog", - "state_date": "2017-10-11", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1426395235-LANCEMODIS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1426395235-LANCEMODIS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LANCEMODIS/collections/PM1EPHND_NRT_6.1NRT", - "description": "PM1EPHND is the Aqua Near Real Time (NRT) daily spacecraft definitive ephemeris data file in native format. This is MODIS Ancillary Data. The data collection consists of PM1 Platform Attitude Data that has been preprocessed by ECS to an internal standard supported by the ECS SDP Toolkit. This data is typically used in determining the geolocation of earth remote sensing observations.The file name format is the following: PM1EPHND_NRT.Ayyyyddd.hhmm.vvv where from left to right: PM1 = PM1 (Aqua); EPH = Spacecraft Ephemeris; N = Native format; D = Definitive; A = Acquisition; yyyy = data year, ddd = Julian data day, hh = data hour, mm = data minute; vvv = Version ID.", - "license": "proprietary" - }, { "id": "PSScene3Band_1", "title": "PlanetScope Satellite Imagery 3 Band Scene", @@ -6395,32 +1143,6 @@ "description": "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.", "license": "proprietary" }, - { - "id": "Permafrost_ActiveLayer_NSlope_1759_1", - "title": "ABoVE: Active Layer Soil Characterization of Permafrost Sites, Northern Alaska, 2018", - "catalog": "ORNL_CLOUD STAC Catalog", - "state_date": "2018-08-22", - "end_date": "2018-08-26", - "bbox": "-149.31, 68.61, -148.56, 69.81", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2143402217-ORNL_CLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2143402217-ORNL_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/Permafrost_ActiveLayer_NSlope_1759_1", - "description": "This dataset provides in situ soil measurements including soil dielectric properties, temperature, and moisture profiles, active layer thickness (ALT), and measurements of soil organic matter, bulk density, porosity, texture, and coarse root biomass. Samples were collected from the surface to permafrost table in soil pits at selected sites along the Dalton Highway in Northern Alaska. From North to South, the study sites include Franklin Bluffs, Sagwon, Happy Valley, Ice Cut, and Imnavait Creek. Measurements were made from August 22 to August 26, 2018. The purpose of the field campaign was to characterize the dielectric properties of permafrost active layer soils in support of the NASA Arctic and Boreal Vulnerability Experiment (ABoVE) Airborne Campaign.", - "license": "proprietary" - }, - { - "id": "Photos_ThermokarstLakes_AK_1845_1", - "title": "ABoVE: Aerial Photographs of Frozen Lakes near Fairbanks, Alaska, October 2014", - "catalog": "ORNL_CLOUD STAC Catalog", - "state_date": "2014-10-08", - "end_date": "2014-10-08", - "bbox": "-147.95, 64.86, -147.76, 64.94", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2143401765-ORNL_CLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2143401765-ORNL_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/Photos_ThermokarstLakes_AK_1845_1", - "description": "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.", - "license": "proprietary" - }, { "id": "QB02_MSI_L1B_1", "title": "QuickBird Level 1B Multispectral 4-Band Satellite Imagery", @@ -6447,123 +1169,6 @@ "description": "The QuickBird Panchromatic Imagery collection contains satellite imagery acquired from Maxar Technologies by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery was collected by the DigitalGlobe QuickBird-2 satellite using the Ball High Resolution Camera 60 across the global land surface from October 2001 to January 2015. This data product includes panchromatic imagery with a spatial resolution of 0.55m at nadir and a temporal resolution of 2.5 to 5.6 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.", "license": "proprietary" }, - { - "id": "RICMIB2E_002", - "title": "MISR L1B2 Ellipsoid Product subset for the RICO region V002", - "catalog": "LARC STAC Catalog", - "state_date": "2000-11-01", - "end_date": "2005-02-01", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1411142646-LARC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1411142646-LARC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections/RICMIB2E_002", - "description": "This file contains the ellipsoid projected TOA Radiance over the RICO region,resampled to WGS84 ellipsoid corrected", - "license": "proprietary" - }, - { - "id": "SAMMIB2E_3", - "title": "MISR L1B2 Ellipsoid Product subset for the SAMUM region V003", - "catalog": "LARC STAC Catalog", - "state_date": "2006-05-12", - "end_date": "2006-06-15", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000423-LARC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000423-LARC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections/SAMMIB2E_3", - "description": "This file contains Ellipsoid-projected TOA Radiance,resampled at the surface and topographically corrected, as well as geometrically corrected by PGE22 for the SAMUM_2006 theme.", - "license": "proprietary" - }, - { - "id": "SAMMIB2T_3", - "title": "MISR L1B2 Terrain Product subset for the SAMUM region V003", - "catalog": "LARC STAC Catalog", - "state_date": "2006-05-12", - "end_date": "2006-06-15", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000440-LARC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000440-LARC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections/SAMMIB2T_3", - "description": "This file contains Terrain-projected TOA Radiance,resampled at the surface and topographically corrected, as well as geometrically corrected by PGE22 for the SAMUM_2006 theme.", - "license": "proprietary" - }, - { - "id": "SAMMIGEO_2", - "title": "MISR Geometric Parameters subset for the SAMUM region V002", - "catalog": "LARC STAC Catalog", - "state_date": "2006-05-12", - "end_date": "2006-06-15", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000421-LARC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000421-LARC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections/SAMMIGEO_2", - "description": "This file contains the Geometric Parameters which measure the sun and view angles at the reference ellipsoid for the SAMUM_2006 theme.", - "license": "proprietary" - }, - { - "id": "SEAGLIDER_GUAM_2019_V1", - "title": "Adaptive Sampling of Rain and Ocean Salinity from Autonomous Seagliders (Guam 2019-2020)", - "catalog": "POCLOUD STAC Catalog", - "state_date": "2019-10-03", - "end_date": "2020-01-15", - "bbox": "143.63035, 13.39476, 144.613, 14.71229", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2151536874-POCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2151536874-POCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections/SEAGLIDER_GUAM_2019_V1", - "description": "This dataset was produced by the Adaptive Sampling of Rain and Ocean Salinity from Autonomous Seagliders (NASA grant NNX17AK07G) project, an investigation to develop tools and strategies to better measure the structure and variability of upper-ocean salinity in rain-dominated environments. From October 2019 to January 2020, three Seagliders were deployed near Guam (14\u00b0N 144\u00b0E). The Seaglider is an autonomous profiler measuring salinity and temperature in the upper ocean. The three gliders sampled in an adaptive formation to capture the patchiness of the rain and the corresponding oceanic response in real time. The location was chosen because of the likelihood of intense tropical rain events and the availability of a NEXRAD (S-band) rain radar at the Guam Airport. Spacing between gliders varies from 1 to 60 km. Data samples are gridded by profile and on regular depth bins from 0 to 1000 m. The time interval between profiles was about 3 hours, and they are typically about 1.5 km apart. These profiles are available at Level 2 (basic gridding) and Level 3 (despiked and interpolated). All Seaglider data files are in netCDF format with standards compliant metadata. The project was led by a team from the Applied Physics Laboratory at the University of Washington.", - "license": "proprietary" - }, - { - "id": "SNF_ASP_CVR_140_1", - "title": "Aspen Forest Cover by Stratum/Plot (SNF)", - "catalog": "ORNL_DAAC STAC Catalog", - "state_date": "1984-05-10", - "end_date": "1984-06-12", - "bbox": "-92.51, 47.66, -91.77, 48.17", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179002748-ORNL_DAAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179002748-ORNL_DAAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/SNF_ASP_CVR_140_1", - "description": "Average percent coverage and standard deviation of each canopy stratum from subplots at each aspen site during the SNF study in the Superior National Forest, Minnesota", - "license": "proprietary" - }, - { - "id": "SRDB_V5_1827_5", - "title": "A Global Database of Soil Respiration Data, Version 5.0", - "catalog": "ORNL_CLOUD STAC Catalog", - "state_date": "1961-01-01", - "end_date": "2017-12-31", - "bbox": "-163.71, -78.02, 175.9, 81.8", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2216864433-ORNL_CLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2216864433-ORNL_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/SRDB_V5_1827_5", - "description": "The Soil Respiration Database (SRDB) is a near-universal compendium of published soil respiration (Rs) data. The database encompasses published studies that report at least one of the following data measured in the field (not laboratory): annual soil respiration, mean seasonal soil respiration, a seasonal or annual partitioning of soil respiration into its source fluxes, soil respiration temperature response (Q10), or soil respiration at 10 degrees C. The SRDB's orientation is to seasonal and annual fluxes, not shorter-term or chamber-specific measurements, and the database is dominated by temperate, well-drained forest measurement locations. Version 5 (V5) is the compilation of 2,266 published studies with measurements taken between 1961-2017. V5 features more soil respiration data published in Russian and Chinese scientific literature for better global spatio-temporal coverage and improved global climate-space representation. The database is also restructured to have better interoperability with other datasets related to carbon-cycle science.", - "license": "proprietary" - }, - { - "id": "Sat_ActiveLayer_Thickness_Maps_1760_1", - "title": "ABoVE: Active Layer Thickness from Remote Sensing Permafrost Model, Alaska, 2001-2015", - "catalog": "ORNL_CLOUD STAC Catalog", - "state_date": "2001-01-01", - "end_date": "2015-12-31", - "bbox": "-179.18, 55.57, -132.58, 70.21", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2143402571-ORNL_CLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2143402571-ORNL_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/Sat_ActiveLayer_Thickness_Maps_1760_1", - "description": "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.", - "license": "proprietary" - }, - { - "id": "Tropical Cyclone Wind Estimation Model_1", - "title": "Tropical Cyclone Wind Estimation Model", - "catalog": "MLHUB STAC Catalog", - "state_date": "2000-01-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2260133500-MLHUB.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2260133500-MLHUB.html", - "href": "https://cmr.earthdata.nasa.gov/stac/MLHUB/collections/Tropical%20Cyclone%20Wind%20Estimation%20Model_1", - "description": "This is a PyTorch model trained on the Tropical Cyclone Wind Estimation Competition dataset with v0.1 of the TorchGeo package. The model is a resnet18 model pretrained on ImageNet then trained with a MSE loss. The data were randomly split 80/20 by storm ID and an early stop was used based on performance.", - "license": "proprietary" - }, { "id": "Turbid9_0", "title": "2004 Measurements made in the Chesapeake Bay", @@ -6577,279 +1182,6 @@ "description": "Measurements made in the Chesapeake Bay in 2004.", "license": "proprietary" }, - { - "id": "USGS-DDS_30_P-10_cells_Not provided", - "title": "1995 National Oil and Gas Assessment 1/4-Mile Cells within the San Joaquin Basin Province", - "catalog": "CEOS_EXTRA STAC Catalog", - "state_date": "1990-12-01", - "end_date": "1990-12-01", - "bbox": "-121.388916, 34.890034, -118.58517, 37.83907", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2231552106-CEOS_EXTRA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2231552106-CEOS_EXTRA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CEOS_EXTRA/collections/USGS-DDS_30_P-10_cells_Not%20provided", - "description": "The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 10 (San Joaquin Basin) are listed here by play number, type, and name: Number Type Name 1001 conventional Pliocene Non-associated Gas 1002 conventional Southeast Stable Shelf 1003 conventional Lower Bakersfield Arch 1004 conventional West Side Fold Belt Sourced by Post-Lower Miocene Rocks. 1005 conventional West Side Fold Belt Sourced by Pre-Middle Miocene Rocks 1006 conventional Northeast Shelf of Neogene Basin 1007 conventional Northern Area Non-associated Gas 1008 conventional Tejon Platform 1009 conventional South End Thrust Salient 1010 conventional East Central Basin and Slope North of Bakersfield Arch 1011 conventional Deep Overpressured Fractured Rocks of West Side Fold and Overthrust Belt", - "license": "proprietary" - }, - { - "id": "USGS_DDS_P12_cells_Not provided", - "title": "1995 National Oil and Gas Assessment 1/4-Mile Cells within the Santa Maria Basin Province", - "catalog": "CEOS_EXTRA STAC Catalog", - "state_date": "1990-12-01", - "end_date": "1990-12-01", - "bbox": "-121.977486, 34.488464, -119.44189, 36.40565", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2231553039-CEOS_EXTRA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2231553039-CEOS_EXTRA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CEOS_EXTRA/collections/USGS_DDS_P12_cells_Not%20provided", - "description": "The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 12 (Santa Maria Basin) are listed here by play number, type, and name: Number Type Name 1201 conventional Anticlinal Trends - Onshore 1202 conventional Basin Margin 1204 conventional Diagenetic 1211 conventional Anticlinal Trends - Offshore State Waters", - "license": "proprietary" - }, - { - "id": "USGS_DDS_P13_cells_Not provided", - "title": "1995 National Oil and Gas Assessment 1/4-Mile Cells within the Ventura Basin Province", - "catalog": "CEOS_EXTRA STAC Catalog", - "state_date": "1990-12-01", - "end_date": "1990-12-01", - "bbox": "-120.58227, 33.84158, -117.37425, 34.824276", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2231554781-CEOS_EXTRA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2231554781-CEOS_EXTRA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CEOS_EXTRA/collections/USGS_DDS_P13_cells_Not%20provided", - "description": "The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 13 (Ventura Basin) are listed here by play number, type, and name: Number Type Name 1301 conventional Paleogene - Onshore 1302 conventional Neogene - Onshore 1304 conventional Cretaceous 1311 conventional Paleogene - Offshore State Waters 1312 conventional Neogene - Offshore State Waters", - "license": "proprietary" - }, - { - "id": "USGS_DDS_P14_cells_Not provided", - "title": "1995 National Oil and Gas Assessment 1/4-Mile Cells within the Los Angeles Basin Province", - "catalog": "CEOS_EXTRA STAC Catalog", - "state_date": "1990-12-01", - "end_date": "1990-12-01", - "bbox": "-119.63631, 32.7535, -117.52315, 34.17464", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2231552049-CEOS_EXTRA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2231552049-CEOS_EXTRA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CEOS_EXTRA/collections/USGS_DDS_P14_cells_Not%20provided", - "description": "The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 14 (Los Angeles Basin) are listed here by play number, type, and name: Number Type Name 1401 conventional Santa Monica Fault System and Las Cienegas Fault and Block 1402 conventional Southwestern Shelf and Adjacent Offshore State Lands 1403 conventional Newport-Inglewood Deformation Zone and Southwestern Flank of Central Syncline 1404 conventional Whittier Fault Zone and Fullerton Embayment 1405 conventional Northern Shelf and Northern Flank of Central Syncline 1406 conventional Anaheim Nose 1407 conventional Chino Marginal Basin, Puente and San Jose Hills, and San Gabriel Valley Marginal Basin", - "license": "proprietary" - }, - { - "id": "USGS_DDS_P15_cells_Not provided", - "title": "1995 National Oil and Gas Assessment 1/4-Mile Cells within the San Diego - Oceanside Province", - "catalog": "CEOS_EXTRA STAC Catalog", - "state_date": "1990-12-01", - "end_date": "1990-12-01", - "bbox": "-117.75433, 32.527184, -115.904816, 34.236046", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2231553715-CEOS_EXTRA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2231553715-CEOS_EXTRA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CEOS_EXTRA/collections/USGS_DDS_P15_cells_Not%20provided", - "description": "The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 15 (San Diego - Oceanside) are listed here by play number, type, and name.", - "license": "proprietary" - }, - { - "id": "USGS_DDS_P16_cells_Not provided", - "title": "1995 National Oil and Gas Assessment 1/4-Mile Cells within the Salton Trough Province", - "catalog": "CEOS_EXTRA STAC Catalog", - "state_date": "1990-12-01", - "end_date": "1990-12-01", - "bbox": "-116.66911, 32.634293, -114.74501, 34.02059", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2231548651-CEOS_EXTRA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2231548651-CEOS_EXTRA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CEOS_EXTRA/collections/USGS_DDS_P16_cells_Not%20provided", - "description": "The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 16 (Salton Trough) are listed here by play number, type, and name.", - "license": "proprietary" - }, - { - "id": "USGS_DDS_P17_cells_Not provided", - "title": "1995 National Oil and Gas Assessment 1/4-Mile Cells within the Idaho - Snake River Downwarp Province", - "catalog": "CEOS_EXTRA STAC Catalog", - "state_date": "1990-12-01", - "end_date": "1990-12-01", - "bbox": "-117.24303, 41.99332, -111.04548, 49.00115", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2231550494-CEOS_EXTRA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2231550494-CEOS_EXTRA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CEOS_EXTRA/collections/USGS_DDS_P17_cells_Not%20provided", - "description": "The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 17 (Idaho - Snake River Downwarp) are listed here by play number, type, and name: Number Type Name 1701 conventional Miocene Lacustrine (Lake Bruneau) 1702 conventional Pliocene Lacustrine (Lake Idaho) 1703 conventional Pre-Miocene 1704 conventional Older Tertiary", - "license": "proprietary" - }, - { - "id": "USGS_DDS_P18_cells_Not provided", - "title": "1995 National Oil and Gas Assessment 1/4-Mile Cells within the Western Great Basin Province", - "catalog": "CEOS_EXTRA STAC Catalog", - "state_date": "1990-12-01", - "end_date": "1990-12-01", - "bbox": "-122.29004, 32.717037, -114.13121, 44.563953", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2231554181-CEOS_EXTRA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2231554181-CEOS_EXTRA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CEOS_EXTRA/collections/USGS_DDS_P18_cells_Not%20provided", - "description": "The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 18 (Western Great Basin) are listed here by play number, type, and name: Number Type Name 1801 conventional Hornbrook Basin-Modoc Plateau 1802 conventional Eastern Oregon Neogene Basins 1803 conventional Permian-Triassic Source Rocks Northwestern Nevada and East Central and Eastern Oregon 1804 conventional Cretaceous Source Rocks, Northwestern Nevada 1805 conventional Neogene Source Rocks, Northwestern Nevada and Eastern California", - "license": "proprietary" - }, - { - "id": "USGS_DDS_P19_cells_Not provided", - "title": "1995 National Oil and Gas Assessment 1/4-Mile Cells within the Eastern Great Basin Province", - "catalog": "CEOS_EXTRA STAC Catalog", - "state_date": "1990-12-01", - "end_date": "1990-12-01", - "bbox": "-117.02622, 35.002083, -111.170425, 43.022377", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2231552402-CEOS_EXTRA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2231552402-CEOS_EXTRA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CEOS_EXTRA/collections/USGS_DDS_P19_cells_Not%20provided", - "description": "The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 19 (Eastern Great Basin) are listed here by play number, type, and name: Number Type Name 1901 conventional Unconformity \"A\" 1902 conventional Late Paleozoic 1903 conventional Early Tertiary - Late Cretaceous Sheep Pass and Equivalents 1905 conventional Younger Tertiary Basins 1906 conventional Late Paleozoic - Mesozoic (Central Nevada) Thrust Belt 1907 conventional Sevier Frontal Zone", - "license": "proprietary" - }, - { - "id": "USGS_DDS_P19_conventional_Not provided", - "title": "1995 National Oil and Gas Assessment Conventional Plays within the Eastern Great Basin Province", - "catalog": "CEOS_EXTRA STAC Catalog", - "state_date": "1996-01-01", - "end_date": "1996-12-31", - "bbox": "-117.02622, 35.002083, -111.170425, 43.022377", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2231551249-CEOS_EXTRA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2231551249-CEOS_EXTRA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CEOS_EXTRA/collections/USGS_DDS_P19_conventional_Not%20provided", - "description": "The purpose of these files is to illustrate the geologic boundary of the play as defined for the 1995 U.S. National Assessment. The play was used as the fundamental assessment unit. The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. Conventional oil and gas plays within province 19 (Eastern Great Basin) are listed here by play number and name: Number Name 1901 Unconformity \"A\" 1902 Late Paleozoic 1903 Early Tertiary - Late Cretaceous Sheep Pass and Equivalents 1905 Younger Tertiary Basins 1906 Late Paleozoic - Mesozoic (Central Nevada) Thrust Belt 1907 Sevier Frontal Zone", - "license": "proprietary" - }, - { - "id": "USGS_DDS_P20_cells_Not provided", - "title": "1995 National Oil and Gas Assessment 1/4-Mile Cells within the Uinta - Piceance Basin Province", - "catalog": "CEOS_EXTRA STAC Catalog", - "state_date": "1990-12-01", - "end_date": "1990-12-01", - "bbox": "-111.486916, 38.14689, -105.87804, 40.85869", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2231553991-CEOS_EXTRA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2231553991-CEOS_EXTRA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CEOS_EXTRA/collections/USGS_DDS_P20_cells_Not%20provided", - "description": "The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 20 (Uinta - Piceance Basin) are listed here by play number, type, and name: Number Type Name 2001 conventional Piceance Tertiary Conventional 2002 conventional Uinta Tertiary Oil and Gas 2003 conventional Upper Cretaceous Conventional 2004 conventional Cretaceous Dakota to Jurassic 2005 conventional Permian-Pennsylvanian Sandstones and Carbonates 2007 continuous Tight Gas Piceance Mesaverde Williams Fork 2009 continuous Cretaceous Self-Sourced Fractured Shales Oil 2010 continuous Tight Gas Piceance Mesaverde Iles 2014 conventional Basin Margin Subthrusts 2015 continuous Tight Gas Uinta Tertiary East 2016 continuous Tight Gas Uinta Tertiary West 2018 continuous Basin Flank Uinta Mesaverde 2020 continuous Deep Synclinal Uinta Mesaverde 2050 coalbed gas Uinta Basin - Book Cliffs 2051 coalbed gas Uinta Basin - Sego 2052 coalbed gas Uinta Basin - Emery 2053 coalbed gas Piceance Basin - White River Dome 2054 coalbed gas Piceance Basin - Western Basin Margin 2055 coalbed gas Piceance Basin - Grand Hogback 2056 coalbed gas Piceance Basin - Divide Creek Anticline 2057 coalbed gas Piceance Basin - Igneous Intrusion", - "license": "proprietary" - }, - { - "id": "USGS_DDS_P20_continuous_Not provided", - "title": "1995 National Oil and Gas Assessment Continuous-Type Plays within the Uinta - Piceance Basin Province", - "catalog": "CEOS_EXTRA STAC Catalog", - "state_date": "1996-01-01", - "end_date": "1996-12-31", - "bbox": "-111.486916, 38.14689, -105.87804, 40.85869", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2231554716-CEOS_EXTRA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2231554716-CEOS_EXTRA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CEOS_EXTRA/collections/USGS_DDS_P20_continuous_Not%20provided", - "description": "The purpose of the play map is to illustrate the geologic boundary of the play as defined for the 1995 U.S. National Assessment. The play was used as the fundamental assessment unit. The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. Continuous oil and gas plays within province 20 (Uinta - Piceance Basin) are listed here by play number and name: Number Name 2007 Tight Gas Piceance Mesaverde Williams Fork 2009 Cretaceous Self-Sourced Fractured Shales Oil 2010 Tight Gas Piceance Mesaverde Iles 2015 Tight Gas Uinta Tertiary East 2016 Tight Gas Uinta Tertiary West 2018 Basin Flank Uinta Mesaverde 2020 Deep Synclinal Uinta Mesaverde 2050 Uinta Basin - Book Cliffs 2051 Uinta Basin - Sego 2052 Uinta Basin - Emery 2053 Piceance Basin - White River Dome 2054 Piceance Basin - Western Basin Margin 2055 Piceance Basin - Grand Hogback 2056 Piceance Basin - Divide Creek Anticline 2057 Piceance Basin - Igneous Intrusion", - "license": "proprietary" - }, - { - "id": "USGS_DDS_P2_cells_Not provided", - "title": "1995 National Oil and Gas Assessment 1/4-Mile Cells within the Central Alaska Province", - "catalog": "CEOS_EXTRA STAC Catalog", - "state_date": "1990-12-01", - "end_date": "1990-12-01", - "bbox": "-173.22636, 58.49761, -140.99017, 68.01999", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2231550471-CEOS_EXTRA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2231550471-CEOS_EXTRA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CEOS_EXTRA/collections/USGS_DDS_P2_cells_Not%20provided", - "description": "The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 2 (Central Alaska) are listed here by play number, type, and name: Number Type Name 201 conventional Central Alaska Cenozoic Gas 202 conventional Central Alaska Mesozoic Gas 203 conventional Central Alaska Paleozoic Oil 204 conventional Kandik Pre-Mid-Cretaceous Strata 205 conventional Kandik Upper Cretaceous and Tertiary Non-Marine Stata", - "license": "proprietary" - }, - { - "id": "USGS_DDS_P2_conventional_Not provided", - "title": "1995 National Oil and Gas Assessment Conventional Plays within the Central Alaska Province", - "catalog": "CEOS_EXTRA STAC Catalog", - "state_date": "1996-01-01", - "end_date": "1996-12-31", - "bbox": "-173.22636, 58.49761, -140.99017, 68.01999", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2231551071-CEOS_EXTRA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2231551071-CEOS_EXTRA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CEOS_EXTRA/collections/USGS_DDS_P2_conventional_Not%20provided", - "description": "The purpose of these files is to illustrate the geologic boundary of the play as defined for the 1995 U.S. National Assessment. The play was used as the fundamental assessment unit. The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. Conventional oil and gas plays within province 2 (Central Alaska) are listed here by play number and name: Number Name 201 Central Alaska Cenozoic Gas 202 Central Alaska Mesozoic Gas 203 Central Alaska Paleozoic Oil 204 Kandik Pre-Mid-Cretaceous Strata 205 Kandik Upper Cretaceous and Tertiary Non-Marine Stata", - "license": "proprietary" - }, - { - "id": "USGS_P-11_cells_Not provided", - "title": "1995 National Oil and Gas Assessment 1/4-Mile Cells within the Central Coastal Province", - "catalog": "CEOS_EXTRA STAC Catalog", - "state_date": "1990-12-01", - "end_date": "1990-12-01", - "bbox": "-123.80987, 34.66294, -118.997696, 39.082233", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2231552077-CEOS_EXTRA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2231552077-CEOS_EXTRA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CEOS_EXTRA/collections/USGS_P-11_cells_Not%20provided", - "description": "The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 11 (Central Coastal) are listed here by play number, type, and name: Number Type Name 1101 conventional Point Arena Oil 1102 conventional Point Reyes Oil 1103 conventional Pescadero Oil 1104 conventional La Honda Oil 1105 conventional Bitterwater Oil 1106 conventional Salinas Oil 1107 conventional Western Cuyama Basin 1109 conventional Cox Graben", - "license": "proprietary" - }, - { - "id": "USGS_P-11_conventional_Not provided", - "title": "1995 National Oil and Gas Assessment Conventional Plays within the Central Coastal Province", - "catalog": "CEOS_EXTRA STAC Catalog", - "state_date": "1996-01-01", - "end_date": "1996-12-31", - "bbox": "-123.80987, 34.66294, -118.997696, 39.082233", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2231551956-CEOS_EXTRA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2231551956-CEOS_EXTRA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CEOS_EXTRA/collections/USGS_P-11_conventional_Not%20provided", - "description": "The purpose of these files is to illustrate the geologic boundary of the play as defined for the 1995 U.S. National Assessment. The play was used as the fundamental assessment unit. The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. Conventional oil and gas plays within province 11 (Central Coastal) are listed here by play number and name: Number Name 1101 Point Arena Oil 1102 Point Reyes Oil 1103 Pescadero Oil 1104 La Honda Oil 1105 Bitterwater Oil 1106 Salinas Oil 1107 Western Cuyama Basin 1109 Cox Graben", - "license": "proprietary" - }, - { - "id": "USGS_SOFIA_eco_hist_db1995-2007_version 7", - "title": "1995 - 2007 Ecosystem History of South Florida's Estuaries Database version 7", - "catalog": "CEOS_EXTRA STAC Catalog", - "state_date": "1994-09-27", - "end_date": "2007-04-03", - "bbox": "-81.83, 24.75, -80, 26.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2231554288-CEOS_EXTRA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2231554288-CEOS_EXTRA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CEOS_EXTRA/collections/USGS_SOFIA_eco_hist_db1995-2007_version%207", - "description": "The 1995 - 2007 Ecosystem History of South Florida's Estuaries Database contains listings of all sites (modern and core), modern monitoring site survey information (water chemistry, floral and faunal data, etc.), and published core data. Two general types of data are contained within this database: 1) Modern Field Data and 2) Core data - primarily faunal assemblages. Data are available for modern sites and cores in the general areas of Florida Bay, Biscayne Bay, and the southwest (Florida) coastal mangrove estuaries. Specific sites in the Florida Bay area include Taylor Creek, Bob Allen Key, Russell Bank, Pass Key, Whipray Basin, Rankin Bight, park Key, and Mud Creek core). Specific Biscayne Bay sites include Manatee Bay, Featherbed Bank, Card bank, No Name Bank, Middle Key, Black Point North, and Chicken Key. Sites on the southwest coast include Alligator Bay, Big Lostmans Bay, Broad River Bay, Roberts River mouth, Tarpon Bay, Lostmans River First and Second Bays, Harney River, Shark River near entrance to Ponce de Leon Bay, and Shark River channels. Modern field data contains (1) general information about the site, description, latitude and longitude, date of data collection, (2) water chemistry information, and (3) descriptive text of fauna and flora observed at the site. Core data contain either percent abundance data or actual counts of the distribution of mollusks, ostracodes, forams, and pollen within the cores collected in the estuaries. For some cores dinocyst or diatom data may be available.", - "license": "proprietary" - }, - { - "id": "USGS_cont1992_Not provided", - "title": "1992 Water-Table Contours of the Mojave River Ground-Water Basin, San Bernardino County, California", - "catalog": "CEOS_EXTRA STAC Catalog", - "state_date": "1970-01-01", - "end_date": "", - "bbox": "-117.652695, 34.364513, -116.55357, 35.081955", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2231553864-CEOS_EXTRA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2231553864-CEOS_EXTRA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CEOS_EXTRA/collections/USGS_cont1992_Not%20provided", - "description": "This data set consists of digital water-table contours for the Mojave River Basin. The U.S. Geological Survey, in cooperation with the Mojave Water Agency, constructed a water-table map of the Mojave River ground-water basin for ground-water levels measured in November 1992. Water-level data were collected from approximately 300 wells to construct the contours. The water-table contours were digitized from the paper map which was published at a scale of 1:125,000. The contour interval ranges from 3,200 to 1,600 feet above sea level. [Summary provided by the USGS.]", - "license": "proprietary" - }, - { - "id": "USGS_cont1994_Not provided", - "title": "1994 Water-Table Contours of the Morongo Ground-Water Basin, San Bernardino County, California", - "catalog": "CEOS_EXTRA STAC Catalog", - "state_date": "1970-01-01", - "end_date": "", - "bbox": "-117.07194, 34.095333, -115.98976, 34.64026", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2231554677-CEOS_EXTRA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2231554677-CEOS_EXTRA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CEOS_EXTRA/collections/USGS_cont1994_Not%20provided", - "description": "This data set consists of digital water-table contours for the Morongo Basin. The U.S. Geological Survey constructed a water-table map of the Morongo ground-water basin for ground-water levels measured during the period January-October 1994. Water-level data were collected from 248 wells to construct the contours. The water-table contours were digitized from the paper map which was published at a scale of 1:125,000. The contour interval ranges from 3,400 to 1,500 feet above sea level. [Summary provided by the USGS.]", - "license": "proprietary" - }, - { - "id": "UTC_1990countyboundaries_Not provided", - "title": "1990 County Boundaries of the United States", - "catalog": "CEOS_EXTRA STAC Catalog", - "state_date": "1972-01-01", - "end_date": "1990-12-31", - "bbox": "-177.1, 13.71, -61.48, 76.63", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2231550562-CEOS_EXTRA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2231550562-CEOS_EXTRA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CEOS_EXTRA/collections/UTC_1990countyboundaries_Not%20provided", - "description": "This data set portrays the 1990 State and county boundaries of the United States, Puerto Rico, and the U.S. Virgin Islands. The data set was created by extracting county polygon features from the individual 1:2,000,000-scale State boundary Digital Line Graph (DLG) files produced by the U.S. Geological Survey. These files were then merged into a single file and the boundaries were modified to what they were in 1990. This is a revised version of the March 2000 data set.", - "license": "proprietary" - }, - { - "id": "VBEMIGEO_002", - "title": "MISR Geometric Parameters subset for the VBBE region V002", - "catalog": "LARC STAC Catalog", - "state_date": "2007-08-01", - "end_date": "2007-09-14", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1626189747-LARC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1626189747-LARC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC/collections/VBEMIGEO_002", - "description": "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 VBBE region V003 contains the Geometric Parameters which measure the sun and view angles at the reference ellipsoid.", - "license": "proprietary" - }, { "id": "WV01_Pan_L1B_1", "title": "WorldView-1 Level 1B Panchromatic Satellite Imagery", @@ -6954,58 +1286,6 @@ "description": "The WorldView-4 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 DigitalGlobe WorldView-4 satellite using the WorldView-110 camera across the global land surface from December 2016 to January 2019. This data product includes panchromatic imagery with a spatial resolution of 0.31m at nadir and a temporal resolution of approximately 1.1 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.", "license": "proprietary" }, - { - "id": "WaterBalance_Daily_Historical_GRIDMET_1.5", - "title": "Daily Historical Water Balance Products for the CONUS", - "catalog": "LPCLOUD STAC Catalog", - "state_date": "1980-01-01", - "end_date": "2021-12-31", - "bbox": "-131.70607, 21.115301, -60.530453, 55.457306", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2674694066-LPCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2674694066-LPCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/WaterBalance_Daily_Historical_GRIDMET_1.5", - "description": "This dataset provides daily historical Water Balance Model outputs from a Thornthwaite-type, single bucket model. Climate inputs to the model are from GridMet daily temperature and precipitation for the Continental United States (CONUS). The Water Balance Model output variables include the following: Potential Evapotranspiration (PET, mm), Actual Evapotranspiration (AET, mm), Moisture Deficit (Deficit, mm), Soil Water (soilwater, mm), Runoff (mm), Rain (mm), and Accumulated Snow Water Equivalent (accumswe, mm). The dataset covers the period from January 1 to December 31 for years 1980 through 2021 for the CONUS. Water Balance Model variables are provided as individual files, by variable and year, at a 1 km x 1 km spatial resolution and a daily temporal resolution. Data are in a North America Lambert Conformal Conic projection and are distributed in a standardized Climate and Forecast (CF)-compliant NetCDF file format.", - "license": "proprietary" - }, - { - "id": "a6efcb0868664248b9cb212aba44313d_NA", - "title": "ESA Aerosol Climate Change Initiative (Aerosol CCI): Level 2 aerosol products from MERIS (ALAMO algorithm), Version 2.2", - "catalog": "FEDEO STAC Catalog", - "state_date": "2008-01-01", - "end_date": "2008-12-31", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2548142742-FEDEO.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2548142742-FEDEO.html", - "href": "https://cmr.earthdata.nasa.gov/stac/FEDEO/collections/a6efcb0868664248b9cb212aba44313d_NA", - "description": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises the Level 2 aerosol products from MERIS for 2008, using the ALAMO algorithm, version 2.2. The data have been provided by Hygeos.For further details about these data products please see the linked documentation.", - "license": "proprietary" - }, - { - "id": "a7e11745933a4f37b5aa1d4b23d71a83_NA", - "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 2 aerosol products from ATSR-2 (ADV algorithm), Version 2.31", - "catalog": "FEDEO STAC Catalog", - "state_date": "1995-06-01", - "end_date": "2002-12-31", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2548142909-FEDEO.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2548142909-FEDEO.html", - "href": "https://cmr.earthdata.nasa.gov/stac/FEDEO/collections/a7e11745933a4f37b5aa1d4b23d71a83_NA", - "description": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 2 aerosol products from the ATSR-2 instrument on the ERS-2 satellite, derived using the ADV algorithm, version 2.31. Data are available for the period 1995-2002.For further details about these data products please see the linked documentation.", - "license": "proprietary" - }, - { - "id": "a8b8191d62504acdb218d4767b446280_NA", - "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 2 aerosol products from ATSR-2 (SU algorithm), Version 4.3", - "catalog": "FEDEO STAC Catalog", - "state_date": "1995-06-01", - "end_date": "2003-06-22", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2548143186-FEDEO.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2548143186-FEDEO.html", - "href": "https://cmr.earthdata.nasa.gov/stac/FEDEO/collections/a8b8191d62504acdb218d4767b446280_NA", - "description": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 2 aerosol products from the ATSR-2 instrument on the ERS-2 satellite, derived using the Swansea University (SU) algorithm, version 4.3. Data are available for the period 1995-2003.For further details about these data products please see the documentation.", - "license": "proprietary" - }, { "id": "aamhcpex_1", "title": "AAMH CPEX V1", @@ -7019,19 +1299,6 @@ "description": "The AAMH CPEX dataset contains products obtained from the MetOp-A, MetOp-B, NOAA-18, and NOAA-19 satellites. These data were collected in support of the NASA Convective Processes Experiment (CPEX) field campaign. The CPEX field campaign took place in the North Atlantic-Gulf of Mexico-Caribbean Sea region from 25 May-25 June 2017. CPEX conducted a total of sixteen DC-8 missions from 27 May-24 June. The CPEX campaign collected data to help explain convective storm initiation, organization, growth, and dissipation in the North Atlantic-Gulf of Mexico-Caribbean Oceanic region during the early summer of 2017. These data are available from May 26, 2017 through July 15, 2017 and are available in netCDF-4 format.", "license": "proprietary" }, - { - "id": "ab90030e26c54ba495b1cbec51e137e1_NA", - "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 3 aerosol products from AATSR (ADV algorithm), Version 2.31", - "catalog": "FEDEO 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/C2548142756-FEDEO.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2548142756-FEDEO.html", - "href": "https://cmr.earthdata.nasa.gov/stac/FEDEO/collections/ab90030e26c54ba495b1cbec51e137e1_NA", - "description": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 3 daily and monthly gridded aerosol products from the AATSR instrument on the ENVISAT satellite, derived using the ADV algorithm, version 2.31. Data is available for the period from 2002 to 2012.For further details about these data products please see the linked documentation.", - "license": "proprietary" - }, { "id": "aces1am_1", "title": "ACES Aircraft and Mechanical Data V1", @@ -7110,19 +1377,6 @@ "description": "The ALTUS Cloud Electrification Study (ACES) was based at the Naval Air Facility Key West in Florida. During August 2002, ACES researchers conducted overflights of thunderstorms over the southwestern corner of Florida. For the first time in NASA research, an uninhabited aerial vehicle (UAV) named ALTUS was used to collect cloud electrification data. Carrying field mills, optical sensors, electric field sensors and other instruments, ALTUS allowed scientists to collect cloud electrification data for the first time from above the storm, from its birth through dissipation. This experiment allowed scientists to achieve the dual goals of gathering weather data safely and testing new aircraft technology. This dataset consists of data collected from the following instruments: Slow/Fast antenna, Electric Field Mill, Optical Pulse Sensors, Searchcoil Magnetometer, Accelerometer, and Gerdien Conductivity Probe. These data were collected at 200KHz from the first 16 telemetry items collected on the aircraft, were initiated by an operator selected trigger (e.g. DOPS), and continued collecting for as long as the trigger continued.", "license": "proprietary" }, - { - "id": "alos-prism-l1c_NA", - "title": "ALOS PRISM L1C", - "catalog": "ESA STAC Catalog", - "state_date": "2006-08-01", - "end_date": "2011-03-31", - "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.", - "license": "proprietary" - }, { "id": "amprimpacts_1", "title": "Advanced Microwave Precipitation Radiometer (AMPR) IMPACTS V1", @@ -7266,19 +1520,6 @@ "description": "The Airborne Precipitation Radar 3rd Generation (APR-3) CPEX-CV dataset consists of radar reflectivity, Doppler velocity for all bands, linear depolarization ratio Ku-band, and normalized radar cross-section measurements at Ka- and Ku- bands data collected by the APR-3 onboard the NASA DC-8 aircraft. These data were gathered during the Convective Processes Experiment \u2013 Cabo Verde (CPEX-CV) field campaign. The NASA CPEX-CV field campaign will be based out of Sal Island, Cabo Verde from August through September 2022. The campaign is a continuation of CPEX \u2013 Aerosols and Winds (CPEX-AW) and was conducted aboard the NASA DC-8 aircraft equipped with remote sensors and dropsonde-launch capability that will allow for the measurement of tropospheric aerosols, winds, temperature, water vapor, and precipitation. The overarching CPEX-CV goal was to investigate atmospheric dynamics, marine boundary layer properties, convection, the dust-laden Saharan Air Layer, and their interactions across various spatial scales to improve understanding and predictability of process-level lifecycles in the data-sparse tropical East Atlantic region. These data files are available from September 2, 2022, through September 30, 2022, in netCDF-4 format, with associated browse imagery in JPG format. ", "license": "proprietary" }, - { - "id": "asas_Not provided", - "title": "Advanced Solid-state Array Spectroradiometer (ASAS)", - "catalog": "USGS_LTA STAC Catalog", - "state_date": "1988-06-26", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566261-USGS_LTA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566261-USGS_LTA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/USGS_LTA/collections/asas_Not%20provided", - "description": "The Advanced Solid-state Array Spectroradiometer (ASAS) data collection contains data collected by the ASAS sensor flown aboard NASA aircraft. A fundamental use of ASAS data is to characterize and understand the directional variability in solar energy scattered by various land surface cover types (e.g.,crops, forests, prairie grass, snow, or bare soil). The sensor's Bidirectional Reflectance Distribution Function determines the variation in the reflectance of a surface as a function of both the view zenith angle and solar illumination angle. The ASAS sensor is a hyperspectral, multiangle, airborne remote sensing instrument maintained and operated by the Laboratory for Terrestrial Physics at NASA's Goddard Space Flight Center in Greenbelt, Maryland. The ASAS instrument is mounted on the underside of either NASA C-130 or NASA P-3 aircraft and is capable of off-nadir pointing from approximately 70 degrees forward to 55 degrees aft along the direction of flight. The aircraft is flown at an altitude of 5000 - 6000 meters (approximately 16,000 - 20,000 ft.). Data in the ASAS collection primarily cover areas over the continental United States, but some ASAS data are also available over areas in Canada and western Africa. The ASAS data were collected between 1988 and 1994.", - "license": "proprietary" - }, { "id": "ascatcpex_1", "title": "Advanced Scatterometer (ASCAT) CPEX V1", @@ -7292,19 +1533,6 @@ "description": "The Advanced Scatterometer (ASCAT) CPEX dataset consists of ice probability, wind speed, and wind direction estimates collected by the ASCAT. The ASCAT is onboard the MetOp-A and MetOp-B satellites and uses radar to measure the electromagnetic backscatter from the wind-roughened ocean surface, from which data on wind speed and direction can be derived. These data were gathered during the Convective Processes Experiment (CPEX) field campaign. CPEX collected data to help answer questions about convective storm initiation, organization, growth, and dissipation in the North Atlantic-Gulf of Mexico-Caribbean Oceanic region during the early summer of 2017. These data files are available from May 24, 2017 through July 16, 2017 in netCDF-3 format.", "license": "proprietary" }, - { - "id": "aster_global_dem_Not provided", - "title": "ASTER Global DEM", - "catalog": "USGS_LTA STAC Catalog", - "state_date": "1970-01-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1220567908-USGS_LTA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1220567908-USGS_LTA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/USGS_LTA/collections/aster_global_dem_Not%20provided", - "description": "ASTER is capable of collecting in-track stereo using nadir- and aft-looking near infrared cameras. Since 2001, these stereo pairs have been used to produce single-scene (60- x 60-kilomenter (km)) digital elevation models (DEM) having vertical (root-mean-squared-error) accuracies generally between 10- and 25-meters (m). The methodology used by Japan's Sensor Information Laboratory Corporation (SILC) to produce the ASTER GDEM involves automated processing of the entire ASTER Level-1A archive. Stereo-correlation is used to produce over one million individual scene-based ASTER DEMs, to which cloud masking is applied to remove cloudy pixels. All cloud-screened DEMS are stacked and residual bad values and outliers are removed. Selected data are averaged to create final pixel values, and residual anomalies are corrected before partitioning the data into 1 degree (\u00b0) x 1\u00b0 tiles. The ASTER GDEM covers land surfaces between 83\u00b0N and 83\u00b0S and is comprised of 22,702 tiles. Tiles that contain at least 0.01% land area are included. The ASTER GDEM is distributed as Geographic Tagged Image File Format (GeoTIFF) files with geographic coordinates (latitude, longitude). The data are posted on a 1 arc-second (approximately 30\u2013m at the equator) grid and referenced to the 1984 World Geodetic System (WGS84)/ 1996 Earth Gravitational Model (EGM96) geoid.", - "license": "proprietary" - }, { "id": "avapsimpacts_1", "title": "Advanced Vertical Atmospheric Profiling System Dropsondes (AVAPS) IMPACTS V1", @@ -7318,45 +1546,6 @@ "description": "The Advanced Vertical Atmospheric Profiling System (AVAPS) IMPACTS dataset consists of vertical atmospheric profile measurements collected by the Advanced Vertical Atmospheric Profiling System (AVAPS) dropsondes released from the NASA P-3 aircraft 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 (2020-2023). 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. AVAPS uses a Global Positioning System (GPS) dropsonde to measure atmospheric state parameters (temperature, humidity, wind speed/direction, pressure) and location in 3-dimensional space during the dropsonde\u2019s descent. The AVAPS dataset files are available from January 12, 2020 through February 25, 2022 in ASCII-ict format.", "license": "proprietary" }, - { - "id": "b03b3887ad2f4d5481e7a39344239ab2_NA", - "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 2 aerosol products from AATSR (SU Algorithm), Version 4.3", - "catalog": "FEDEO 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/C2548142709-FEDEO.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2548142709-FEDEO.html", - "href": "https://cmr.earthdata.nasa.gov/stac/FEDEO/collections/b03b3887ad2f4d5481e7a39344239ab2_NA", - "description": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 2 aerosol products from the AATSR instrument on the ENVISAT satellite, derived using the Swansea University (SU) algorithm, version 4.3. It covers the period from 2002 - 2012.For further details about these data products please see the linked documentation.", - "license": "proprietary" - }, - { - "id": "b673f41b-d934-49e4-af6b-44bbdf164367_NA", - "title": "AVHRR - Land Surface Temperature (LST) - Europe, Daytime", - "catalog": "FEDEO STAC Catalog", - "state_date": "1998-02-23", - "end_date": "", - "bbox": "-24, 28, 57, 78", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2207458008-FEDEO.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2207458008-FEDEO.html", - "href": "https://cmr.earthdata.nasa.gov/stac/FEDEO/collections/b673f41b-d934-49e4-af6b-44bbdf164367_NA", - "description": "The \"Land Surface Temperature derived from NOAA-AVHRR data (LST_AVHRR)\" is a fixed grid map (in stereographic projection ) with a spatial resolution of 1.1 km. The total size covering Europe is 4100 samples by 4300 lines. Within 24 hours of acquiring data from the satellite, day-time and night-time LSTs are calculated. In general, the products utilise data from all six of the passes that the satellite makes over Europe in each 24 hour period. For the daily day-time LST maps, the compositing criterion for the three day-time passes is maximum NDVI value and for daily night-time LST maps, the criterion is the maximum night-time LST value of the three night-time passes. Weekly and monthly day-time or night-time LST composite products are also produced by averaging daily day-time or daily night-time LST values, respectively. The range of LST values is scaled between \u201339.5\u00b0C and +87\u00b0C with a radiometric resolution of 0.5\u00b0C. A value of \u201340\u00b0C is used for water. Clouds are masked out as bad values. For additional information, please see: https://wdc.dlr.de/sensors/avhrr/", - "license": "proprietary" - }, - { - "id": "cdcb0605afa74885a66d8be0fdd2ed24_NA", - "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 2 aerosol products from AATSR (ensemble product), Version 2.6", - "catalog": "FEDEO 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/C2548143205-FEDEO.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2548143205-FEDEO.html", - "href": "https://cmr.earthdata.nasa.gov/stac/FEDEO/collections/cdcb0605afa74885a66d8be0fdd2ed24_NA", - "description": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 2 aerosol products from the AATSR instrument on the ENVISAT satellite. The data is an uncertainty-weighted ensemble of the outputs of three separate algorithms (the SU, ADV, and ORAC algorithms.) This product is version 2.6 of the ensemble product. Data is provided for the period 2002 to 2012. For further details about these data products please see the documentation.", - "license": "proprietary" - }, { "id": "chesapeake_val_2013_0", "title": "2013 Chesapeake Bay measurements", @@ -7370,32 +1559,6 @@ "description": "2013 Chesapeake Bay measurements.", "license": "proprietary" }, - { - "id": "ef6a9266-a210-4431-a4af-06cec4274726_NA", - "title": "Cartosat-1 (IRS-P5) - Panchromatic Images (PAN) - Europe, Monographic", - "catalog": "FEDEO STAC Catalog", - "state_date": "2015-02-10", - "end_date": "", - "bbox": "-25, 30, 45, 80", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2207457985-FEDEO.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2207457985-FEDEO.html", - "href": "https://cmr.earthdata.nasa.gov/stac/FEDEO/collections/ef6a9266-a210-4431-a4af-06cec4274726_NA", - "description": "Indian Remote Sensing satellites (IRS) are a series of Earth Observation satellites, built, launched and maintained by Indian Space Research Organisation. The IRS series provides many remote sensing services to India and international ground stations. The satellite has two panchromatic cameras that were especially designed for in flight stereo viewing. However, this collection contains the monoscopic data.", - "license": "proprietary" - }, - { - "id": "fluxnet_alaska_629_1", - "title": "Arctic Tundra Flux Study in the Kuparuk River Basin (Alaska), 1994-1996", - "catalog": "ORNL_DAAC STAC Catalog", - "state_date": "1994-01-01", - "end_date": "1997-01-01", - "bbox": "-150.3, 67.3, -147, 69.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179002754-ORNL_DAAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179002754-ORNL_DAAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/fluxnet_alaska_629_1", - "description": "CO2 and water vapor fluxes and ecosystem characteristics were measured at 24 sites along a 317-km transect from the Arctic coast to the latitudinal treeline in Alaska during the growing seasons of 1994-1996.", - "license": "proprietary" - }, { "id": "lake_erie_aug_2014_0", "title": "2014 Lake Erie measurements", @@ -7408,31 +1571,5 @@ "href": "https://cmr.earthdata.nasa.gov/stac/OB_DAAC/collections/lake_erie_aug_2014_0", "description": "2014 Lake Erie measurements.", "license": "proprietary" - }, - { - "id": "richriver_228_1", - "title": "Amazon River Basin Precipitation, 1972-1992", - "catalog": "ORNL_DAAC STAC Catalog", - "state_date": "1972-01-01", - "end_date": "1992-12-31", - "bbox": "-79.6, -20, -49.4, 5.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179003397-ORNL_DAAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179003397-ORNL_DAAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/richriver_228_1", - "description": "The precipitation data is 0.2 degree gridded monthly precipitation data based upon monthly rain data from Peru and Bolivia and daily rain data from Brazil. The extent of the data ranges from 5.2N and -20.0S to -49.4W to -79.6W", - "license": "proprietary" - }, - { - "id": "urn:ogc:def:EOP:VITO:VGT_S10_1", - "title": "10 Days Synthesis of SPOT VEGETATION Images (VGT-S10)", - "catalog": "FEDEO STAC Catalog", - "state_date": "1998-04-01", - "end_date": "2014-05-31", - "bbox": "-180, -56, 180, 75", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2207472890-FEDEO.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2207472890-FEDEO.html", - "href": "https://cmr.earthdata.nasa.gov/stac/FEDEO/collections/urn%3Aogc%3Adef%3AEOP%3AVITO%3AVGT_S10_1", - "description": "The VGT-S10 are near-global or continental, 10-daily composite images which are synthesised from the 'best available' observations registered in the course of every 'dekad' by the orbiting earth observation system SPOT-VEGETATION. The products provide data from all spectral bands (SWIR, NIR, RED, BLUE), the NDVI and auxiliary data on image acquisition parameters. The VEGETATION system allows operational and near real-time applications, at global, continental and regional scales, in very broad environmentally and socio-economically critical fields. The VEGETATION instrument is operational since April 1998, first with VGT1, from March 2003 onwards, with VGT2. More information is available on: https://docs.terrascope.be/#/DataProducts/SPOT-VGT/Level3/Level3", - "license": "proprietary" } ] \ No newline at end of file diff --git a/nasa_cmr_catalog.tsv b/nasa_cmr_catalog.tsv index d2af3e7..b8aa60a 100644 --- a/nasa_cmr_catalog.tsv +++ b/nasa_cmr_catalog.tsv @@ -1,10 +1,6 @@ id title catalog state_date end_date bbox url description license -04bc222136f7429eb04d3eb3543ef3e8_NA ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 2 aerosol products from ATSR-2 (ORAC algorithm), Version 4.01 FEDEO STAC Catalog 1995-06-01 2003-06-22 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548143224-FEDEO.umm_json The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 2 aerosol products from the ATSR-2 instrument on the ERS-2 satellite, derived using the ORAC algorithm, version 4.01. It covers the period from 1995-2003For further details about these data products please see the linked documentation. proprietary -0f4324af-fa0a-4aaf-9b97-89a4f3325ce1_NA DESIS - Hyperspectral Images - Global FEDEO STAC Catalog 2018-08-30 -180, -52, 180, 52 https://cmr.earthdata.nasa.gov/search/concepts/C2207458058-FEDEO.umm_json The hyperspectral instrument DESIS (DLR Earth Sensing Imaging Spectrometer) is one of four possible payloads of MUSES (Multi-User System for Earth Sensing), which is mounted on the International Space Station (ISS). DLR developed and delivered a Visual/Near-Infrared Imaging Spectrometer to Teledyne Brown Engineering, which was responsible for integrating the instrument. Teledyne Brown designed and constructed, integrated and tested the platform before delivered to NASA. Teledyne Brown collaborates with DLR in several areas, including basic and applied research for use of data. DESIS is operated in the wavelength range from visible through the near infrared and enables precise data acquisition from Earth's surface for applications including fire-detection, change detection, maritime domain awareness, and atmospheric research. Three product types can be ordered, which are Level 1B (systematic and radiometric corrected), Level 1C (geometrically corrected) and Level 2A (atmospherically corrected). The spatial resolution is about 30m on ground. DESIS is sensitive between 400nm and 1000nm with a spectral resolution of about 3.3nm. DESIS data are delivered in tiles of about 30x30km. For more information concerning DESIS the reader is referred to https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-13614/ proprietary -11c5f6df1abc41968d0b28fe36393c9d_NA ESA Aerosol Climate Change Initiative (Aerosol CCI): Level 3 aerosol products from MERIS (ALAMO algorithm), Version 2.2 FEDEO STAC Catalog 2008-01-01 2008-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548143004-FEDEO.umm_json The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises the Level 3 aerosol daily and monthly gridded products from MERIS for 2008, using the ALAMO algorithm, version 2.2. The data have been provided by Hygeos.For further details about these data products please see the linked documentation. proprietary 1C_LIS3_STUC00GTD_1.0 IRS 1C LIS3 Standard Products ISRO STAC Catalog 1996-11-14 2007-09-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1443228137-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 1C_WIFS_STUC00GTD_1.0 IRS 1C Standard Geo Referenced Product ISRO STAC Catalog 1999-10-04 2007-09-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1443227047-ISRO.umm_json The data is acquired in four spectral bands, three in the visible and in NIR (VNIR B2, B3 and B4)and one in the short wave infrared (SWIR B5).The AWiFS camera is realized in two electro-optic modules viz. AWiFS-A and AWiFS-B, providing a combined swath of 740 Km with 56m resolution. Standard products are full scene (path-row) based geo-referenced as well as geo-orthokit products. proprietary -2e656d34d016414c8d6bced18634772c_NA ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 3 aerosol products from the Multi-Sensor UV Absorbing Aerosol Index (MS UVAI) algorithm, Version 1.7 FEDEO STAC Catalog 1978-11-01 2015-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548142580-FEDEO.umm_json The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 3 Absorbing Aerosol Index (AAI) products, using the Multi-Sensor UVAI algorithm, Version 1.7. L3 products are provided as daily and monthly gridded products as well as a monthly climatology. For further details about these data products please see the linked documentation. proprietary 3DIMG_L1B_STD_Not provided INSAT-3D Imager Level-1B Full Acquisition Standard Product ISRO STAC Catalog 2013-10-01 0.843296, -81.04153, 163.15671, 81.04153 https://cmr.earthdata.nasa.gov/search/concepts/C1231649308-ISRO.umm_json INSAT-3D Imager Level-1B Standard Product containing 6 channels data in HDF-5 Format proprietary 3DIMG_L1C_SGP_Not provided INSAT-3D Imager Level-1C Sector Product ISRO STAC Catalog 2013-10-01 20, -50, 130, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1214622563-ISRO.umm_json INSAT-3D Imager Level-1C Sector Product (Geocoded, all pixels at same resolution) contains 6 channels data in HDF-5 Format proprietary 3DIMG_L2B_CMK_Not provided INSAT-3D Imager Level-2B Cloud Map ISRO STAC Catalog 2013-10-01 0.843296, -81.04153, 163.15671, 81.04153 https://cmr.earthdata.nasa.gov/search/concepts/C1214622564-ISRO.umm_json INSAT-3D Imager Level-2B Cloud Map Product in HDF-5 Format proprietary @@ -19,79 +15,12 @@ id title catalog state_date end_date bbox url description license 3DIMG_L2P_SMK_Not provided INSAT-3D Imager Level-2P SMOKE ISRO STAC Catalog 2013-10-01 60, -10, 100, 40 https://cmr.earthdata.nasa.gov/search/concepts/C1214622568-ISRO.umm_json This is an Active Smoke product, which identifies pixels having smoke using Visible albedo and Brightness Temperature of MIR, TIR-1 and TIR-2 channels proprietary 3DIMG_L2P_VSW_Not provided INSAT-3D Imager Level-2P VISIBLE WINDS ISRO STAC Catalog 2013-10-01 20, -50, 130, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1214622558-ISRO.umm_json Suitable tracers are identified in VISIBLE band imagery and tracked in subsequent half-hourly imageries to determine cloud motion vector proprietary 3DIMG_L2P_WVW_Not provided INSAT-3D Imager Level-2P WV WINDS ISRO STAC Catalog 2013-10-01 20, -50, 130, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1214622581-ISRO.umm_json Suitable tracers are identified in WV(Water Vapour) band imagery and tracked in subsequent half-hourly imageries to determine cloud motion vector proprietary -3fe263d2-99ed-4751-b937-d26a31ab0606_NA AVHRR - Vegetation Index (NDVI) - Europe FEDEO STAC Catalog 1994-07-01 -24, 28, 57, 78 https://cmr.earthdata.nasa.gov/search/concepts/C2207458021-FEDEO.umm_json "Every day, three successive NOAA-AVHRR scenes are used to derive a synthesis product in stereographic projection known as the ""Normalized Difference Vegetation Index"" for Europe and North Africa. It is calculated by dividing the difference in technical albedos between measurements in the near infrared and visible red part of the spectrum by the sum of both measurements. This value provides important information about the ""greenness"" and density of vegetation. Weekly and monthly thematic synthesis products are also derived from this daily operational product, at each step becoming successively free of clouds. For additional information, please see: https://wdc.dlr.de/sensors/avhrr/" proprietary -4afb736dc395442aa9b327c11f0d704b_NA ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 2 aerosol products from ATSR-2 (ensemble product), Version 2.6 FEDEO STAC Catalog 1995-08-01 2002-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548142590-FEDEO.umm_json The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 2 aerosol products from the ATSR-2 instrument on the ERS-2 satellite. The data is an uncertainty-weighted ensemble of the outputs of three separate algorithms (the SU, ADV, and ORAC algorithms.) This product is version 2.6 of the ensemble product. Data is provided for the period 1995 to 2002. For further details about these data products please see the documentation. proprietary -7ae5a791-b667-4838-9733-a44e4cf2d715_NA Cartosat-1 (IRS-P5) - Panchromatic Images (PAN) - Europe, Stereographic FEDEO STAC Catalog 2007-01-05 -25, 30, 45, 80 https://cmr.earthdata.nasa.gov/search/concepts/C2207458042-FEDEO.umm_json Indian Remote Sensing satellites (IRS) are a series of Earth Observation satellites, built, launched and maintained by Indian Space Research Organisation. The IRS series provides many remote sensing services to India and international ground stations. The satellite has two panchromatic cameras that were especially designed for in flight stereo viewing. proprietary -802569b8-fb56-4d78-a2e8-3e4549ff475b_NA AVHRR - Sea Surface Temperature (SST) - Europe FEDEO STAC Catalog 1994-08-01 -35, 47.5, 51, 73 https://cmr.earthdata.nasa.gov/search/concepts/C2207458053-FEDEO.umm_json The AVHRR Mulitchannel Sea Surface Temperature Map (MCSST) was the first result of DLR's AVHRR pathfinder activities. The goal of the product is to provide the user with actual Sea Surface Temperature (SST) maps in a defined format easy to access with the highest possible reliability on the thematic quality. After a phase of definition, the operational production chain was launched in March 1993 covering the entire Mediterranean Sea and the Black Sea. Since then, daily, weekly, and monthly data sets have been available until September 13, 1994, when the AVHRR on board the NOAA-11 spacecraft failed. The production of daily, weekly and monthly SST maps was resumed in February, 1995, based on NOAA-14 AVHRR data. The NOAA-14 AVHRR sensor became some technical difficulties, so the generation was stopped on October 3, 2001. Since March 2002, NOAA-16 AVHRR SST maps are available again. With the beginning of January 2004, the data of AVHRR on board of NOAA-16 exhibited some anormal features showing strips in the scenes. Facing the “bar coded” images of NOAA16-AVHRR which occurred first in September 2003, continued in January 2004 for the second time and appeared in April 2004 again, DFD has decided to stop the reception of NOAA16 data on April 6th, 2004, and to start the reception of NOAA-17 data on this day. On April 7th, 2004, the production of all former NOAA16-AVHRR products as e.g. the SST composites was successully established. NOAA-17 is an AM sensor which passes central Europe about 2 hours earlier than NOAA-16 (about 10:00 UTC instead of 12:00 UTC for NOAA-16). In spring 2007, the communication system of NOAA-17 has degraded or is operating with limitations. Therefore, DFD has decided to shift the production of higher level products (NDVI, LST and SST) from NOAA-17 to NOAA-18 in April 2007. In order to test the performance of our processing chains, we processed simultaneously all NOAA-17 and NOAA-18 data from January 1st, 2007 till March 29th, 2007. All products are be available via EOWEB. Please remember that NOAA-18 is a PM sensor which passes central Europe about 1.5 hours later than NOAA-17 (about 11:30 UTC instead of 10:00 UTC for NOAA17). The SST product is intended for climate modelers, oceanographers, and all geo science-related disciplines dealing with ocean surface parameters. In addition, SST maps covering the North Atlantic, the Baltic Sea, the North Sea and the Western Atlantic equivalent to the Mediterranean MCSST maps are available since August 1994. The most important aspects of the MCSST maps are a) correct image registration and b) reasonable cloud screening to ensure that only cloud free pixels are taken for the later processing and compositing c) for deriving MCSST, only channel 4 and 5 are used.. The SST product consists of one 8 bit channel. For additional information, please see: https://wdc.dlr.de/sensors/avhrr/ proprietary -8b63d36f6f1e4efa8aea302b924bc46b_NA ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 2 aerosol products from AATSR (ORAC Algorithm), Version 4.01 FEDEO STAC Catalog 2002-05-20 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548142857-FEDEO.umm_json The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 2 aerosol products from the AATSR instrument on the ENVISAT satellite, derived using the ORAC algorithm, version 4.01. For further details about these data products please see the linked documentation. proprietary -936b319d-5253-425d-bd29-4b6ebce067ff_NA AVHRR - Land Surface Temperature (LST) - Europe, Nighttime FEDEO STAC Catalog 1998-02-23 -24, 28, 57, 78 https://cmr.earthdata.nasa.gov/search/concepts/C2207458046-FEDEO.umm_json "The ""Land Surface Temperature derived from NOAA-AVHRR data (LST_AVHRR)"" is a fixed grid map (in stereographic projection) with a spatial resolution of 1.1 km. The total size covering Europe is 4100 samples by 4300 lines. Within 24 hours of acquiring data from the satellite, day-time and night-time LSTs are calculated. In general, the products utilise data from all six of the passes that the satellite makes over Europe in each 24 hour period. For the daily day-time LST maps, the compositing criterion for the three day-time passes is maximum NDVI value and for daily night-time LST maps, the criterion is the maximum night-time LST value of the three night-time passes. Weekly and monthly day-time or night-time LST composite products are also produced by averaging daily day-time or daily night-time LST values, respectively. The range of LST values is scaled between –39.5°C and +87°C with a radiometric resolution of 0.5°C. A value of –40°C is used for water. Clouds are masked out as bad values. For additional information, please see: https://wdc.dlr.de/sensors/avhrr/" proprietary -9f6324ebe92940b989ebf273d5f8bf33_NA ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 2 aerosol products from AATSR (ADV Algorithm), Version 2.31 FEDEO STAC Catalog 2002-07-24 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548142624-FEDEO.umm_json The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 2 aerosol products from the AATSR instrument on ENVISAT, derived using the ADV algorithm, version 2.31. Data is available for the period 2002-2012.For further details about these data products please see the linked documentation. proprietary AAOT_0 Acqua Alta Oceanographic Tower (AAOT) OB_DAAC STAC Catalog 1999-08-03 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360084-OB_DAAC.umm_json Measurements made by the Acqua Alta Oceanographic Tower (AAOT), an Italian installation off the coast of Venice in the Adriatic Sea from 1999 to 2002. proprietary -ABLVIS1B_1 ABoVE LVIS L1B Geolocated Return Energy Waveforms V001 NSIDC_ECS STAC Catalog 2017-06-29 2017-07-17 -158, 48, -104, 72 https://cmr.earthdata.nasa.gov/search/concepts/C1513105920-NSIDC_ECS.umm_json This data set contains return energy waveform data over Alaska and Western Canada measured by the NASA Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of NASA's Terrestrial Ecology Program campaign, the Arctic-Boreal Vulnerability Experiment (ABoVE). proprietary -ABLVIS2_1 ABoVE LVIS L2 Geolocated Surface Elevation Product V001 NSIDC_ECS STAC Catalog 2017-06-29 2017-07-17 -158, 48, -104, 72 https://cmr.earthdata.nasa.gov/search/concepts/C1513105984-NSIDC_ECS.umm_json This data set contains surface elevation data over Alaska and Western Canada measured by the NASA Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of NASA's Terrestrial Ecology Program campaign, the Arctic-Boreal Vulnerability Experiment (ABoVE). proprietary -ABOLVIS1A_1 ABoVE LVIS L1A Geotagged Images V001 NSIDC_ECS STAC Catalog 2017-06-29 2017-07-17 -158, 48, -104, 72 https://cmr.earthdata.nasa.gov/search/concepts/C1673546369-NSIDC_ECS.umm_json This data set contains geotagged images collected over Alaska and Western Canada. The images were taken by the NASA Digital Mapping Camera, paired with the Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of NASA's Terrestrial Ecology Program campaign, the Arctic-Boreal Vulnerability Experiment (ABoVE). proprietary -ABoVE_ASCENDS_Backscatter_2051_1 ABoVE/ASCENDS: Atmospheric Backscattering Coefficient Profiles from CO2 Sounder, 2017 ORNL_CLOUD STAC Catalog 2017-07-20 2017-08-08 -165.68, 34.59, -98.15, 71.27 https://cmr.earthdata.nasa.gov/search/concepts/C2264344759-ORNL_CLOUD.umm_json This dataset provides atmospheric backscattering coefficient profiles collected during Active Sensing of CO2 Emissions over Nights, Days, and Seasons (ASCENDS) deployments from 2017-07-20 to 2017-08-08 over Alaska, U.S., and the Yukon and Northwest Territories of Canada. These profiles were measured by the CO2 Sounder Lidar instrument carried on a DC-8 aircraft. The airborne CO2 Sounder is a pulsed, multi-wavelength Integrated Path Differential Absorption lidar that estimates column-averaged dry-air CO2 mixing ratio (XCO2) in the nadir path from the aircraft to the scattering surface. In addition to XCO2, the lidar receiver recorded the time-resolved atmospheric backscatter signal strength as the laser pulses propagated through the atmosphere. Raw lidar data were converted to the atmospheric backscatter cross-section product and the two-way atmosphere transmission, also known as attenuated backscatter profiles. These ASCENDS flights were coordinated with the 2017 Arctic-Boreal Vulnerability Experiment (ABoVE) campaign and are provided in ICARTT format. proprietary -ABoVE_ASCENDS_Merge_2114_1 ABoVE/ASCENDS: Merged Atmospheric CO2, CH4, and Meteorological Data, 2017 ORNL_CLOUD STAC Catalog 2017-07-20 2017-08-09 -165.68, 34.59, -98.15, 71.27 https://cmr.earthdata.nasa.gov/search/concepts/C2575399701-ORNL_CLOUD.umm_json This dataset provides in situ airborne measurements of atmospheric carbon dioxide (CO2), methane (CH4), water vapor concentrations, air temperature, pressure, and wind speed and direction as well as airborne remote sensing measurements of column average CO2 collected during Active Sensing of CO2 Emissions over Nights, Days, and Seasons (ASCENDS) deployments from 2017-07-20 to 2017-08-08 over Alaska, US, and the Yukon and Northwest Territories of Canada. CO2 and CH4 were measured with NASA's Atmospheric Vertical Observations of CO2 in the Earth's Troposphere (AVOCET) instrument. Water vapor and relative humidity were measured with Diode Laser Hydrometer. Measurements were taken onboard a DC-8 aircraft. The ASCENDS flights were coordinated with the 2017 Arctic-Boreal Vulnerability Experiment (ABoVE) campaign. The data are provided in ICARTT format along with an archive of flight videos. proprietary -ABoVE_ASCENDS_XCO2_2050_1 ABoVE/ASCENDS: Active Sensing of CO2, CH4, and Water Vapor, Alaska and Canada, 2017 ORNL_CLOUD STAC Catalog 2017-07-20 2017-08-08 -165.68, 34.59, -98.1, 71.28 https://cmr.earthdata.nasa.gov/search/concepts/C2264340976-ORNL_CLOUD.umm_json This dataset provides in situ airborne measurements of atmospheric carbon dioxide (CO2), methane (CH4), and water vapor concentrations, plus air temperature, pressure, relative humidity, and wind speed values over Alaska and the Yukon and Northwest Territories of Canada during 2017-07-20 to 2017-08-08. Measurements were taken onboard a DC-8 aircraft during this Active Sensing of CO2 Emissions over Nights, Days and Seasons (ASCENDS) airborne deployment over portions of the Arctic-Boreal Vulnerability Experiment (ABoVE) domain. CO2 and CH4 were measured with NASA's Atmospheric Vertical Observations of CO2 in the Earth's Troposphere (AVOCET) instrument. Water vapor and relative humidity were measured with Diode Laser Hydrometer. Measurements of column-averaged dry-air mixing ratio CO2 measurements (XCO2) were taken with the CO2 Sounder Lidar instrument. The airborne CO2 Sounder is a pulsed, multi-wavelength Integrated Path Differential Absorption lidar. It estimates XCO2 in the nadir path from the aircraft to the scattering surface by measuring the shape of the 1572.33 nm CO2 absorption line. The data were collected in order to capture the spatial and temporal dynamics of the northern high latitude carbon cycle as part of ABoVE and are provided in ICARTT file format. proprietary -ABoVE_AirSWOT_Radar_Data_1646_1 ABoVE: AirSWOT Ka-band Radar over Surface Waters of Alaska and Canada, 2017 ORNL_CLOUD STAC Catalog 2017-07-08 2017-08-17 -149.83, 46.85, -98.63, 70.49 https://cmr.earthdata.nasa.gov/search/concepts/C2111827036-ORNL_CLOUD.umm_json AirSWOT is an airborne calibration and validation instrument for the upcoming Surface Water Topography Mission (SWOT) satellite. AirSWOT is capable of producing high resolution digital elevation models over land and water bodies. This dataset provides AirSWOT Ka-band (35.75 GHz) radar data products collected from an airborne platform over parts of Alaska and Canada during the period 2017-07-09 to 2017-08-17. Flights targeted specific surface water features, including rivers, lakes, ponds, and wetlands in the ABoVE domain. The radar data include six products: elevation (above the WGS84 ellipsoid), incidence angle, magnitude (backscatter), interferometric correlation (coherence), DHDPHI (incidence angle dependent height sensitivity), and error (estimated height random error, 1-sigma standard deviation). The flight lines were selected to span a full spectrum of permafrost conditions (permafrost-free to continuous permafrost, low to high ground ice content), ecosystems, climatic regions, topographic relief, and geological substrates across the ABoVE domain to investigate surface water responses to thawing permafrost and spatial and temporal variability in terrestrial water storage by measuring elevation and extent of surface waters. The data are provided in two forms: 1) the original output (outer-swath products only) at 3.6 m2 resolution in UTM coordinates from the AirSWOT processing group at the Jet Propulsion Laboratory (JPL), and 2) the ABoVE Projection at 3.6 m2 resolution, clipped to the ABoVE reference grid tiles using the C grid. proprietary -ABoVE_AirSWOT_Water_Mask_1707_1 ABoVE: AirSWOT Water Masks from Color-Infrared Imagery over Alaska and Canada, 2017 ORNL_CLOUD STAC Catalog 2017-07-09 2017-08-17 -152.18, 43.27, -98.64, 76.28 https://cmr.earthdata.nasa.gov/search/concepts/C2143402575-ORNL_CLOUD.umm_json This dataset provides 1) a conservative open water mask for future water surface elevation (WSE) extraction from the co-registered AirSWOT Ka-band interferometry data, and 2) high-resolution (1 m) water body distribution maps for water bodies greater than 40 m2 along the NASA Arctic-Boreal Vulnerability Experiment (ABoVE) foundational flight lines. The masks and maps were derived from georeferenced three-band orthomosaics generated from individual images collected during the flights and a semi-automated water classification algorithm based on the Normalized Difference Water Index (NDWI). In total, 3,167 km2 of open water were mapped from 23,380 km2 of flight lines spanning 23 degrees of latitude. Detected water body sizes range from 40 m2 to 15 km2. The image tiles were georeferenced using manually selected ground control points (GCPs). Comparison with manually digitized open water boundaries yields an overall open-water classification accuracy of 98.0%. proprietary -ABoVE_Concise_Experiment_Plan_1617_1.1 A Concise Experiment Plan for the Arctic-Boreal Vulnerability Experiment ORNL_CLOUD STAC Catalog 2014-01-01 2021-12-31 -176.12, 39.42, -66.92, 81.61 https://cmr.earthdata.nasa.gov/search/concepts/C2162145735-ORNL_CLOUD.umm_json This document presents the Concise Experiment Plan for NASA's Arctic-Boreal Vulnerability Experiment (ABoVE) to serve as a guide to the Program as it identifies the research to be conducted under this study. Research for ABoVE will link field-based, process-level studies with geospatial data products derived from airborne and satellite remote sensing, providing a foundation for improving the analysis and modeling capabilities needed to understand and predict ecosystem responses and societal implications. The ABoVE Concise Experiment Plan (ACEP) outlines the conceptual basis for the Field Campaign and expresses the compelling rationale explaining the scientific and societal importance of the study. It presents both the science questions driving ABoVE research as well as the top-level requirements for a study design to address them. proprietary -ABoVE_MODIS_MAIAC_Reflectance_1858_1 ABoVE: Angular-corrected MODIS MAIAC Reflectance across Alaska and Canada, 2000-2017 ORNL_CLOUD STAC Catalog 2000-02-24 2017-12-31 -180, 44.12, 180, 80.81 https://cmr.earthdata.nasa.gov/search/concepts/C2192631093-ORNL_CLOUD.umm_json This dataset provides angular corrections of MODIS Multi-Angle Implementation of Atmospheric Correction algorithm (MAIAC) surface reflectances across the ABoVE domain in Alaska and western Canada from 2000 to 2017. Using random forests (RF), a machine-learning approach, the original MAIAC reflectance data were corrected to consistent view and illumination angles (0 degree view zenith angle and 45 degree of sun zenith angle) to reduce artifacts and variability due to angular effects. The original MAIAC data's sub-daily temporal resolution and 1 km spatial resolution with seven land bands (bands 1-7) and five ocean bands (bands 8-12) were preserved. The resulting surface reflectance data are suitable for long-term studies on patterns, processes, and dynamics of surface phenomena. The data cover 11 different Terra and Aqua satellite MODIS MAIAC tiles. proprietary -ABoVE_Open_Water_Map_1643_1 ABoVE: AirSWOT Color-Infrared Imagery Over Alaska and Canada, 2017 ORNL_CLOUD STAC Catalog 2017-07-09 2017-08-17 -149.26, 46.85, -98.64, 69.47 https://cmr.earthdata.nasa.gov/search/concepts/C2162145875-ORNL_CLOUD.umm_json This dataset contains georeferenced three-band orthomosaics of green, red, and near-infrared (NIR) digital imagery at 1m resolution collected over selected surface waters across Alaska and Canada between July 9 and August 17, 2017. The orthomosaics were generated from individual images collected by a Cirrus Designs Digital Camera System (DCS) mounted on a Beechcraft Super King Air B200 aircraft from approximately 8-11 km altitude. Flights were over the following areas: Saskatchewan River, Saskatoon, Inuvik, Yukon River including Yukon Flats, Sagavanirktok River, Arctic Coastal Plain, Old Crow Flats, Peace-Athabasca Delta, Slave River, Athabasca River, Yellowknife, Great Slave Lake, Mackenzie River and Delta, Daring Lake, and other selected locations. Most locations were imaged twice during two flight campaigns in Canada and Alaska extending roughly SE-NW then NW-SE up to a month apart. The data were georeferenced using 303 ground control points (GCPs) across the study region. proprietary -ABoVE_PBand_SAR_1657_1 ABoVE: Active Layer and Soil Moisture Properties from AirMOSS P-band SAR in Alaska ORNL_CLOUD STAC Catalog 2014-08-16 2017-10-10 -167.94, 64.71, -150.25, 70.88 https://cmr.earthdata.nasa.gov/search/concepts/C2170972048-ORNL_CLOUD.umm_json This dataset provides estimates of soil geophysical properties derived from Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) P-band polarimetric synthetic aperture radar (PolSAR) data collected in August and October of 2014, 2015, and 2017 over 12 study sites (with some exceptions) across Northern Alaska. Soil properties reported include the active layer thickness (ALT), dielectric constant, soil moisture profile, surface roughness, and their respective uncertainty estimates at 30-m spatial resolution over the 12 flight transects. Most of the study sites are located within the continuous permafrost zone and where the aboveground vegetation consisting mainly of dwarf shrub and tussock/sedge/moss tundra has a minimal impact on P-band radar backscatter. proprietary -ABoVE_ReSALT_InSAR_PolSAR_V3_2004_3 ABoVE: Active Layer Thickness from Airborne L- and P- band SAR, Alaska, 2017, Ver. 3 ORNL_CLOUD STAC Catalog 2017-06-19 2017-09-16 -166.73, 57.83, -110.42, 71.52 https://cmr.earthdata.nasa.gov/search/concepts/C2432584227-ORNL_CLOUD.umm_json This dataset provides estimates of seasonal subsidence, active layer thickness (ALT), the vertical soil moisture profile, and uncertainties at a 30 m resolution for 51 sites across the ABoVE domain, including 39 sites in Alaska and 12 sites in Northwest Canada. The ALT and soil moisture profile retrievals simultaneously use L- and P-band synthetic aperture radar (SAR) data acquired by the NASA/JPL Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) instruments during the 2017 Arctic Boreal Vulnerability Experiment (ABoVE) airborne campaign. The data are provided in NetCDF Version 4 format along with a python script for estimating soil volumetric water content from data. proprietary -ACCLIP_AerosolCloud_AircraftRemoteSensing_WB57_Data_1 ACCLIP WB-57 Aerosol and Cloud Remotely Sensed Data LARC_ASDC STAC Catalog 2022-07-14 2022-09-14 -180, 16.6, 180, 61.5 https://cmr.earthdata.nasa.gov/search/concepts/C2655162569-LARC_ASDC.umm_json ACCLIP_AerosolCloud_AircraftRemoteSensing_WB57_Data is the cloud and aerosol remote sensing data from the Roscoe lidar collected during the Asian Summer Monsoon Chemical & Climate Impact Project (ACCLIP). Data collection for this product is complete. ACCLIP is an international, multi-organizational suborbital campaign that aims to study aerosols and chemical transport that is associated with the Asian Summer Monsoon (ASM) in the Western Pacific region from 15 July 2022 to 31 August 2022. The ASM is the largest meteorological pattern in the Northern Hemisphere (NH) during the summer and is associated with persistent convection and large anticyclonic flow patterns in the upper troposphere and lower stratosphere (UTLS). This leads to significant enhancements in the UTLS of trace species that originate from pollution or biomass burning. Convection connected to the ASM occurs over South, Southeast, and East Asia, a region with complex and rapidly changing emissions due to its high population density and economic growth. Pollution that reaches the UTLS from this region can have significant effects on the climate and chemistry of the atmosphere, making it important to have an accurate representation and understanding of ASM transport, chemical, and microphysical processes for chemistry-climate models to characterize these interactions and for predicting future impacts on climate. The ACCLIP campaign is conducted by the National Aeronautics and Space Administration (NASA) and the National Center for Atmospheric Research (NCAR) with the primary goal of investigating the impacts of Asian gas and aerosol emissions on global chemistry and climate. The NASA WB-57 and NCAR G-V aircraft are outfitted with state-of-the-art sensors to accomplish this. ACCLIP seeks to address four scientific objectives related to its main goal. The first is to investigate the transport pathways of ASM uplifted air from inside of the anticyclone to the global UTLS. Another objective is to sample the chemical content of air processed in the ASM in order to quantify the role of the ASM in transporting chemically active species and short-lived climate forcing agents to the UTLS to determine their impact on stratospheric ozone chemistry and global climate. Third, information is obtained on aerosol size, mass, and chemical composition that is necessary for determining the radiative effects of the ASM to constrain models of aerosol formation and for contrasting the organic-rich ASM UTLS aerosol population with that of the background aerosols. Last, ACCLIP seeks to measure the water vapor distribution associated with the monsoon dynamical structure to evaluate transport across the tropopause and determine the role of the ASM in water vapor transport in the stratosphere. proprietary -ACCLIP_Aerosol_AircraftInSitu_WB57_Data_1 ACCLIP WB-57 Aircraft In-Situ Aerosol Data LARC_ASDC STAC Catalog 2022-07-14 2022-09-14 -180, 16.6, 180, 61.5 https://cmr.earthdata.nasa.gov/search/concepts/C2609962127-LARC_ASDC.umm_json ACCLIP_Aerosol_AircraftInSitu_WB57_Data is the in-situ aerosol data collected during the Asian Summer Monsoon Chemical & Climate Impact Project (ACCLIP). Data from the Particle Analysis by Laser Mass Spectrometry - Next Generation (PALMS-NG), Single Particle Soot Photometer (SP2), Nucleation-Mode Aerosol Size Spectrometer (N-MASS), Printed Optical Particle Spectrometer (POPS), and the Ultra-High Sensitivity Aerosol Spectrometer (UHSAS) is featured in this collection. Data collection for this product is complete. ACCLIP is an international, multi-organizational suborbital campaign that aims to study aerosols and chemical transport that is associated with the Asian Summer Monsoon (ASM) in the Western Pacific region from 15 July 2022 to 31 August 2022. The ASM is the largest meteorological pattern in the Northern Hemisphere (NH) during the summer and is associated with persistent convection and large anticyclonic flow patterns in the upper troposphere and lower stratosphere (UTLS). This leads to significant enhancements in the UTLS of trace species that originate from pollution or biomass burning. Convection connected to the ASM occurs over South, Southeast, and East Asia, a region with complex and rapidly changing emissions due to its high population density and economic growth. Pollution that reaches the UTLS from this region can have significant effects on the climate and chemistry of the atmosphere, making it important to have an accurate representation and understanding of ASM transport, chemical, and microphysical processes for chemistry-climate models to characterize these interactions and for predicting future impacts on climate. The ACCLIP campaign is conducted by the National Aeronautics and Space Administration (NASA) and the National Center for Atmospheric Research (NCAR) with the primary goal of investigating the impacts of Asian gas and aerosol emissions on global chemistry and climate. The NASA WB-57 and NCAR G-V aircraft are outfitted with state-of-the-art sensors to accomplish this. ACCLIP seeks to address four scientific objectives related to its main goal. The first is to investigate the transport pathways of ASM uplifted air from inside of the anticyclone to the global UTLS. Another objective is to sample the chemical content of air processed in the ASM in order to quantify the role of the ASM in transporting chemically active species and short-lived climate forcing agents to the UTLS to determine their impact on stratospheric ozone chemistry and global climate. Third, information is obtained on aerosol size, mass, and chemical composition that is necessary for determining the radiative effects of the ASM to constrain models of aerosol formation and for contrasting the organic-rich ASM UTLS aerosol population with that of the background aerosols. Last, ACCLIP seeks to measure the water vapor distribution associated with the monsoon dynamical structure to evaluate transport across the tropopause and determine the role of the ASM in water vapor transport in the stratosphere. proprietary -ACCLIP_MetNav_AircraftInSitu_WB57_Data_1 ACCLIP WB-57 Meteorological and Navigational Data LARC_ASDC STAC Catalog 2022-07-14 2022-09-14 180, 16.6, -180, 61.5 https://cmr.earthdata.nasa.gov/search/concepts/C2566338281-LARC_ASDC.umm_json ACCLIP_MetNav_AircraftInSitu_WB57_Data is the in-situ meteorology and navigational data collection during the Asian Summer Monsoon Chemical & Climate Impact Project (ACCLIP). Data from the Meteorological Measurement System (MMS) and Diode Laser Hygrometer (DLH) is featured in this collection. Data collection for this product is complete. ACCLIP is an international, multi-organizational suborbital campaign that aims to study aerosols and chemical transport that is associated with the Asian Summer Monsoon (ASM) in the Western Pacific region from 15 July 2022 to 31 August 2022. The ASM is the largest meteorological pattern in the Northern Hemisphere (NH) during the summer and is associated with persistent convection and large anticyclonic flow patterns in the upper troposphere and lower stratosphere (UTLS). This leads to significant enhancements in the UTLS of trace species that originate from pollution or biomass burning. Convection connected to the ASM occurs over South, Southeast, and East Asia, a region with complex and rapidly changing emissions due to its high population density and economic growth. Pollution that reaches the UTLS from this region can have significant effects on the climate and chemistry of the atmosphere, making it important to have an accurate representation and understanding of ASM transport, chemical, and microphysical processes for chemistry-climate models to characterize these interactions and for predicting future impacts on climate. The ACCLIP campaign is conducted by the National Aeronautics and Space Administration (NASA) and the National Center for Atmospheric Research (NCAR) with the primary goal of investigating the impacts of Asian gas and aerosol emissions on global chemistry and climate. The NASA WB-57 and NCAR G-V aircraft are outfitted with state-of-the-art sensors to accomplish this. ACCLIP seeks to address four scientific objectives related to its main goal. The first is to investigate the transport pathways of ASM uplifted air from inside of the anticyclone to the global UTLS. Another objective is to sample the chemical content of air processed in the ASM in order to quantify the role of the ASM in transporting chemically active species and short-lived climate forcing agents to the UTLS to determine their impact on stratospheric ozone chemistry and global climate. Third, information is obtained on aerosol size, mass, and chemical composition that is necessary for determining the radiative effects of the ASM to constrain models of aerosol formation and for contrasting the organic-rich ASM UTLS aerosol population with that of the background aerosols. Last, ACCLIP seeks to measure the water vapor distribution associated with the monsoon dynamical structure to evaluate transport across the tropopause and determine the role of the ASM in water vapor transport in the stratosphere. proprietary -ACCLIP_Model_WB57_Data_1 ACCLIP WB-57 Aircraft Model Data LARC_ASDC STAC Catalog 2022-07-14 2022-09-14 -180, 16.6, 180, 61.5 https://cmr.earthdata.nasa.gov/search/concepts/C2609869612-LARC_ASDC.umm_json ACCLIP_Model_WB57_Data contains modeled meteorological, chemical, and aerosol data along the flight tracks of the WB-57 aircraft during the Asian Summer Monsoon Chemical & Climate Impact Project (ACCLIP). Data collection for this product is complete. ACCLIP is an international, multi-organizational suborbital campaign that aims to study aerosols and chemical transport that is associated with the Asian Summer Monsoon (ASM) in the Western Pacific region from 15 July 2022 to 31 August 2022. The ASM is the largest meteorological pattern in the Northern Hemisphere (NH) during the summer and is associated with persistent convection and large anticyclonic flow patterns in the upper troposphere and lower stratosphere (UTLS). This leads to significant enhancements in the UTLS of trace species that originate from pollution or biomass burning. Convection connected to the ASM occurs over South, Southeast, and East Asia, a region with complex and rapidly changing emissions due to its high population density and economic growth. Pollution that reaches the UTLS from this region can have significant effects on the climate and chemistry of the atmosphere, making it important to have an accurate representation and understanding of ASM transport, chemical, and microphysical processes for chemistry-climate models to characterize these interactions and for predicting future impacts on climate. The ACCLIP campaign is conducted by the National Aeronautics and Space Administration (NASA) and the National Center for Atmospheric Research (NCAR) with the primary goal of investigating the impacts of Asian gas and aerosol emissions on global chemistry and climate. The NASA WB-57 and NCAR G-V aircraft are outfitted with state-of-the-art sensors to accomplish this. ACCLIP seeks to address four scientific objectives related to its main goal. The first is to investigate the transport pathways of ASM uplifted air from inside of the anticyclone to the global UTLS. Another objective is to sample the chemical content of air processed in the ASM in order to quantify the role of the ASM in transporting chemically active species and short-lived climate forcing agents to the UTLS to determine their impact on stratospheric ozone chemistry and global climate. Third, information is obtained on aerosol size, mass, and chemical composition that is necessary for determining the radiative effects of the ASM to constrain models of aerosol formation and for contrasting the organic-rich ASM UTLS aerosol population with that of the background aerosols. Last, ACCLIP seeks to measure the water vapor distribution associated with the monsoon dynamical structure to evaluate transport across the tropopause and determine the role of the ASM in water vapor transport in the stratosphere. proprietary -ACCLIP_TraceGas_AircraftInSitu_WB57_Data_1 ACCLIP WB-57 Aircraft In-situ Trace Gas Data LARC_ASDC STAC Catalog 2022-07-14 2022-09-14 180, 16.6, -180, 61.5 https://cmr.earthdata.nasa.gov/search/concepts/C2566342407-LARC_ASDC.umm_json ACCLIP_TraceGas_AircraftInSitu_WB57_Data is the in-situ trace gas data collection during the Asian Summer Monsoon Chemical & Climate Impact Project (ACCLIP). Data from the Airborne Carbon Oxide Sulfide Spectrometer (ACOS), Carbon monOxide Measurement from Ames (COMA), Laser Induced Fluorescence - Nitrogen Oxide (LIF-NO), In Situ Airborne Formaldehyde (ISAF), Carbon Oxide Laser Detector 2 (COLD 2), and the NOAA UAS O3 Photometer (UASO3) is featured in this collection. Data collection for this product is complete. ACCLIP is an international, multi-organizational suborbital campaign that aims to study aerosols and chemical transport that is associated with the Asian Summer Monsoon (ASM) in the Western Pacific region from 15 July 2022 to 31 August 2022. The ASM is the largest meteorological pattern in the Northern Hemisphere (NH) during the summer and is associated with persistent convection and large anticyclonic flow patterns in the upper troposphere and lower stratosphere (UTLS). This leads to significant enhancements in the UTLS of trace species that originate from pollution or biomass burning. Convection connected to the ASM occurs over South, Southeast, and East Asia, a region with complex and rapidly changing emissions due to its high population density and economic growth. Pollution that reaches the UTLS from this region can have significant effects on the climate and chemistry of the atmosphere, making it important to have an accurate representation and understanding of ASM transport, chemical, and microphysical processes for chemistry-climate models to characterize these interactions and for predicting future impacts on climate. The ACCLIP campaign is conducted by the National Aeronautics and Space Administration (NASA) and the National Center for Atmospheric Research (NCAR) with the primary goal of investigating the impacts of Asian gas and aerosol emissions on global chemistry and climate. The NASA WB-57 and NCAR G-V aircraft are outfitted with state-of-the-art sensors to accomplish this. ACCLIP seeks to address four scientific objectives related to its main goal. The first is to investigate the transport pathways of ASM uplifted air from inside of the anticyclone to the global UTLS. Another objective is to sample the chemical content of air processed in the ASM in order to quantify the role of the ASM in transporting chemically active species and short-lived climate forcing agents to the UTLS to determine their impact on stratospheric ozone chemistry and global climate. Third, information is obtained on aerosol size, mass, and chemical composition that is necessary for determining the radiative effects of the ASM to constrain models of aerosol formation and for contrasting the organic-rich ASM UTLS aerosol population with that of the background aerosols. Last, ACCLIP seeks to measure the water vapor distribution associated with the monsoon dynamical structure to evaluate transport across the tropopause and determine the role of the ASM in water vapor transport in the stratosphere. proprietary -ACEPOL_AircraftRemoteSensing_AirHARP_Data_1 ACEPOL Airborne Hyper Angular Rainbow Polarimeter (AirHARP) Remotely Sensed Data Version 1 LARC_ASDC STAC Catalog 2017-10-18 2020-11-20 -130, 25, -100, 45 https://cmr.earthdata.nasa.gov/search/concepts/C1758588261-LARC_ASDC.umm_json ACEPOL Airborne Hyper Angular Rainbow Polarimeter (AirHARP) Remotely Sensed Data (ACEPOL_AircraftRemoteSensing_AirHARP_Data) are remotely sensed measurements collected by the Airborne Hyper Angular Rainbow Polarimeter (AirHARP) onboard the ER-2 during ACEPOL. In order to improve our understanding of the effect of aerosols on climate and air quality, measurements of aerosol chemical composition, size distribution, height profile, and optical properties are of crucial importance. In terms of remotely sensed instrumentation, the most extensive set of aerosol properties can be obtained by combining passive multi-angle, multi-spectral measurements of intensity and polarization with active measurements performed by a High Spectral Resolution Lidar. During Fall 2017, the Aerosol Characterization from Polarimeter and Lidar (ACEPOL) campaign, jointly sponsored by NASA and the Netherlands Institute for Space Research (SRON), performed aerosol and cloud measurements over the United States from the NASA high altitude ER-2 aircraft. Six instruments were deployed on the aircraft. Four of these instruments were multi-angle polarimeters: the Airborne Hyper Angular Rainbow Polarimeter (AirHARP), the Airborne Multiangle SpectroPolarimetric Imager (AirMSPI), the Airborne Spectrometer for Planetary Exploration (SPEX Airborne) and the Research Scanning Polarimeter (RSP). The other two instruments were lidars: the High Spectral Resolution Lidar 2 (HSRL-2) and the Cloud Physics Lidar (CPL). The ACEPOL operation was based at NASA’s Armstrong Flight Research Center in Palmdale California, which enabled observations of a wide variety of scene types, including urban, desert, forest, coastal ocean and agricultural areas, with clear, cloudy, polluted and pristine atmospheric conditions. The primary goal of ACEPOL was to assess the capabilities of the different polarimeters for retrieval of aerosol and cloud microphysical and optical parameters, as well as their capabilities to derive aerosol layer height (near-UV polarimetry, O2 A-band). ACEPOL also focused on the development and evaluation of aerosol retrieval algorithms that combine data from both active (lidar) and passive (polarimeter) instruments. ACEPOL data are appropriate for algorithm development and testing, instrument intercomparison, and investigations of active and passive instrument data fusion, which is a valuable resource for remote sensing communities as they prepare for the next generation of spaceborne MAP and lidar missions. proprietary -ACEPOL_AircraftRemoteSensing_AirSPEX_Data_1 ACEPOL Airborne Spectrometer for Planetary Exploration (AirSPEX) Remotely Sensed Data Version 1 LARC_ASDC STAC Catalog 2017-10-19 2017-11-09 -130, 25, -100, 45 https://cmr.earthdata.nasa.gov/search/concepts/C1758588281-LARC_ASDC.umm_json ACEPOL_AircraftRemoteSensing_AirSPEX_Data are remotely sensed measurements collected by the Airborne Spectrometer for Planetary Exploration (SPEX Airborne) onboard the ER-2 during ACEPOL. In order to improve our understanding of the effect of aerosols on climate and air quality, measurements of aerosol chemical composition, size distribution, height profile, and optical properties are of crucial importance. In terms of remotely sensed instrumentation, the most extensive set of aerosol properties can be obtained by combining passive multi-angle, multi-spectral measurements of intensity and polarization with active measurements performed by a High Spectral Resolution Lidar. During Fall 2017, the Aerosol Characterization from Polarimeter and Lidar (ACEPOL) campaign, jointly sponsored by NASA and the Netherlands Institute for Space Research (SRON), performed aerosol and cloud measurements over the United States from the NASA high altitude ER-2 aircraft. Six instruments were deployed on the aircraft. Four of these instruments were multi-angle polarimeters: the Airborne Hyper Angular Rainbow Polarimeter (AirHARP), the Airborne Multiangle SpectroPolarimetric Imager (AirMSPI), the Airborne Spectrometer for Planetary Exploration (SPEX Airborne) and the Research Scanning Polarimeter (RSP). The other two instruments were lidars: the High Spectral Resolution Lidar 2 (HSRL-2) and the Cloud Physics Lidar (CPL). The ACEPOL operation was based at NASA’s Armstrong Flight Research Center in Palmdale California, which enabled observations of a wide variety of scene types, including urban, desert, forest, coastal ocean and agricultural areas, with clear, cloudy, polluted and pristine atmospheric conditions. The primary goal of ACEPOL was to assess the capabilities of the different polarimeters for retrieval of aerosol and cloud microphysical and optical parameters, as well as their capabilities to derive aerosol layer height (near-UV polarimetry, O2 A-band). ACEPOL also focused on the development and evaluation of aerosol retrieval algorithms that combine data from both active (lidar) and passive (polarimeter) instruments. ACEPOL data are appropriate for algorithm development and testing, instrument intercomparison, and investigations of active and passive instrument data fusion, which make them valuable resources for remote sensing communities as they prepare for the next generation of spaceborne MAP and lidar missions. proprietary -ACEPOL_AircraftRemoteSensing_CPL_Data_1 ACEPOL Cloud Physics Lidar (CPL) Remotely Sensed Data Version 1 LARC_ASDC STAC Catalog 2017-10-19 2017-11-09 -130, 25, -100, 45 https://cmr.earthdata.nasa.gov/search/concepts/C1758588308-LARC_ASDC.umm_json ACEPOL Cloud Physics Lidar (CPL) Remotely Sensed Data (ACEPOL_AircraftRemoteSensing_CPL_Data) are remotely sensed measurements collected by the Cloud Physics Lidar (CPL) onboard the ER-2 during ACEPOL. In order to improve our understanding of the effect of aerosols on climate and air quality, measurements of aerosol chemical composition, size distribution, height profile, and optical properties are of crucial importance. In terms of remotely sensed instrumentation, the most extensive set of aerosol properties can be obtained by combining passive multi-angle, multi-spectral measurements of intensity and polarization with active measurements performed by a High Spectral Resolution Lidar. During Fall 2017, the Aerosol Characterization from Polarimeter and Lidar (ACEPOL) campaign, jointly sponsored by NASA and the Netherlands Institute for Space Research (SRON), performed aerosol and cloud measurements over the United States from the NASA high altitude ER-2 aircraft. Six instruments were deployed on the aircraft. Four of these instruments were multi-angle polarimeters: the Airborne Hyper Angular Rainbow Polarimeter (AirHARP), the Airborne Multiangle SpectroPolarimetric Imager (AirMSPI), the Airborne Spectrometer for Planetary Exploration (SPEX Airborne) and the Research Scanning Polarimeter (RSP). The other two instruments were lidars: the High Spectral Resolution Lidar 2 (HSRL-2) and the Cloud Physics Lidar (CPL). The ACEPOL operation was based at NASA’s Armstrong Flight Research Center in Palmdale California, which enabled observations of a wide variety of scene types, including urban, desert, forest, coastal ocean and agricultural areas, with clear, cloudy, polluted and pristine atmospheric conditions. The primary goal of ACEPOL was to assess the capabilities of the different polarimeters for retrieval of aerosol and cloud microphysical and optical parameters, as well as their capabilities to derive aerosol layer height (near-UV polarimetry, O2 A-band). ACEPOL also focused on the development and evaluation of aerosol retrieval algorithms that combine data from both active (lidar) and passive (polarimeter) instruments. ACEPOL data are appropriate for algorithm development and testing, instrument intercomparison, and investigations of active and passive instrument data fusion, which make them valuable resources for remote sensing communities as they prepare for the next generation of spaceborne MAP and lidar missions. proprietary -ACEPOL_AircraftRemoteSensing_HSRL2_Data_1 ACEPOL High Spectral Resolution Lidar 2 (HSRL-2) Remotely Sensed Data LARC_ASDC STAC Catalog 2017-10-23 2017-11-09 -130, 25, -100, 45 https://cmr.earthdata.nasa.gov/search/concepts/C1758588330-LARC_ASDC.umm_json ACEPOL High Spectral Resolution Lidar 2 (HSRL-2) Remotely Sensed Data (ACEPOL_AircraftRemoteSensing_HSRL2_Data) are remotely sensed measurements collected by the High-Spectral Resolution Lidar (HSRL-2) onboard the ER-2 during ACEPOL. In order to improve our understanding of the effect of aerosols on climate and air quality, measurements of aerosol chemical composition, size distribution, height profile, and optical properties are of crucial importance. In terms of remotely sensed instrumentation, the most extensive set of aerosol properties can be obtained by combining passive multi-angle, multi-spectral measurements of intensity and polarization with active measurements performed by a High Spectral Resolution Lidar. During Fall 2017, the Aerosol Characterization from Polarimeter and Lidar (ACEPOL) campaign, jointly sponsored by NASA and the Netherlands Institute for Space Research (SRON), performed aerosol and cloud measurements over the United States from the NASA high altitude ER-2 aircraft. Six instruments were deployed on the aircraft. Four of these instruments were multi-angle polarimeters: the Airborne Hyper Angular Rainbow Polarimeter (AirHARP), the Airborne Multiangle SpectroPolarimetric Imager (AirMSPI), the Airborne Spectrometer for Planetary Exploration (SPEX Airborne) and the Research Scanning Polarimeter (RSP). The other two instruments were lidars: the High Spectral Resolution Lidar 2 (HSRL-2) and the Cloud Physics Lidar (CPL). The ACEPOL operation was based at NASA’s Armstrong Flight Research Center in Palmdale California, which enabled observations of a wide variety of scene types, including urban, desert, forest, coastal ocean and agricultural areas, with clear, cloudy, polluted and pristine atmospheric conditions. The primary goal of ACEPOL was to assess the capabilities of the different polarimeters for retrieval of aerosol and cloud microphysical and optical parameters, as well as their capabilities to derive aerosol layer height (near-UV polarimetry, O2 A-band). ACEPOL also focused on the development and evaluation of aerosol retrieval algorithms that combine data from both active (lidar) and passive (polarimeter) instruments. ACEPOL data are appropriate for algorithm development and testing, instrument intercomparison, and investigations of active and passive instrument data fusion, which make them valuable resources for remote sensing communities as they prepare for the next generation of spaceborne MAP and lidar missions. proprietary -ACEPOL_AircraftRemoteSensing_RSP_Data_1 ACEPOL Research Scanning Polarimeter (RSP) Remotely Sensed Data Version 1 LARC_ASDC STAC Catalog 2017-10-23 2017-11-09 -130, 25, -100, 45 https://cmr.earthdata.nasa.gov/search/concepts/C1758588354-LARC_ASDC.umm_json ACEPOL Research Scanning Polarimeter (RSP) Remotely Sensed Data (ACEPOL_AircraftRemoteSensing_RSP_Data) are remotely sensed measurements collected by the Research Scanning Polarimeter (RSP) onboard the ER-2 during ACEPOL. In order to improve our understanding of the effect of aerosols on climate and air quality, measurements of aerosol chemical composition, size distribution, height profile, and optical properties are of crucial importance. In terms of remotely sensed instrumentation, the most extensive set of aerosol properties can be obtained by combining passive multi-angle, multi-spectral measurements of intensity and polarization with active measurements performed by a High Spectral Resolution Lidar. During Fall 2017, the Aerosol Characterization from Polarimeter and Lidar (ACEPOL) campaign, jointly sponsored by NASA and the Netherlands Institute for Space Research (SRON), performed aerosol and cloud measurements over the United States from the NASA high altitude ER-2 aircraft. Six instruments were deployed on the aircraft. Four of these instruments were multi-angle polarimeters: the Airborne Hyper Angular Rainbow Polarimeter (AirHARP), the Airborne Multiangle SpectroPolarimetric Imager (AirMSPI), the Airborne Spectrometer for Planetary Exploration (SPEX Airborne) and the Research Scanning Polarimeter (RSP). The other two instruments were lidars: the High Spectral Resolution Lidar 2 (HSRL-2) and the Cloud Physics Lidar (CPL). The ACEPOL operation was based at NASA’s Armstrong Flight Research Center in Palmdale California, which enabled observations of a wide variety of scene types, including urban, desert, forest, coastal ocean and agricultural areas, with clear, cloudy, polluted and pristine atmospheric conditions. The primary goal of ACEPOL was to assess the capabilities of the different polarimeters for retrieval of aerosol and cloud microphysical and optical parameters, as well as their capabilities to derive aerosol layer height (near-UV polarimetry, O2 A-band). ACEPOL also focused on the development and evaluation of aerosol retrieval algorithms that combine data from both active (lidar) and passive (polarimeter) instruments. ACEPOL data are appropriate for algorithm development and testing, instrument intercomparison, and investigations of active and passive instrument data fusion, which is a valuable resource for remote sensing communities as they prepare for the next generation of spaceborne MAP and lidar missions. proprietary -ACEPOL_MetNav_AircraftInSitu_Data_1 ACEPOL ER-2 Meteorological and Navigational Data Version 1 LARC_ASDC STAC Catalog 2017-10-19 2017-11-09 -130, 25, -100, 45 https://cmr.earthdata.nasa.gov/search/concepts/C1758588825-LARC_ASDC.umm_json ACEPOL_MetNav_AircraftInSitu_Data are in situ meteorological and navigational measurements collected onboard the ER-2 during ACEPOL. In order to improve our understanding of the effect of aerosols on climate and air quality, measurements of aerosol chemical composition, size distribution, height profile, and optical properties are of crucial importance. In terms of remotely sensed instrumentation, the most extensive set of aerosol properties can be obtained by combining passive multi-angle, multi-spectral measurements of intensity and polarization with active measurements performed by a High Spectral Resolution Lidar. During Fall 2017, the Aerosol Characterization from Polarimeter and Lidar (ACEPOL) campaign, jointly sponsored by NASA and the Netherlands Institute for Space Research (SRON), performed aerosol and cloud measurements over the United States from the NASA high altitude ER-2 aircraft. Six instruments were deployed on the aircraft. Four of these instruments were multi-angle polarimeters: the Airborne Hyper Angular Rainbow Polarimeter (AirHARP), the Airborne Multiangle SpectroPolarimetric Imager (AirMSPI), the Airborne Spectrometer for Planetary Exploration (SPEX Airborne) and the Research Scanning Polarimeter (RSP). The other two instruments were lidars: the High Spectral Resolution Lidar 2 (HSRL-2) and the Cloud Physics Lidar (CPL). The ACEPOL operation was based at NASA’s Armstrong Flight Research Center in Palmdale California, which enabled observations of a wide variety of scene types, including urban, desert, forest, coastal ocean and agricultural areas, with clear, cloudy, polluted and pristine atmospheric conditions. The primary goal of ACEPOL was to assess the capabilities of the different polarimeters for retrieval of aerosol and cloud microphysical and optical parameters, as well as their capabilities to derive aerosol layer height (near-UV polarimetry, O2 A-band). ACEPOL also focused on the development and evaluation of aerosol retrieval algorithms that combine data from both active (lidar) and passive (polarimeter) instruments. ACEPOL data are appropriate for algorithm development and testing, instrument intercomparison, and investigations of active and passive instrument data fusion, which make them valuable resources for remote sensing communities as they prepare for the next generation of spaceborne MAP and lidar missions. proprietary ACIDD_0 Across the Channel Investigating Diel Dynamics project OB_DAAC STAC Catalog 2017-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360091-OB_DAAC.umm_json The ACIDD (Across the Channel Investigating Diel Dynamics) project, in the Santa Barbara Channel, was initially designed to characterize daily variations in phytoplankton populations, but with the Thomas Fire in the Santa Barbara Hills December 2017, this project evolved into a study to characterize the effects of smoke and ash on the mixed layer in the Santa Barbara Channel. proprietary -ACOS_L2S_7.3 ACOS GOSAT/TANSO-FTS Level 2 Full Physics Standard Product V7.3 (ACOS_L2S) at GES DISC GES_DISC STAC Catalog 2009-04-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1339230297-GES_DISC.umm_json "Version 7.3 is the current version of the data set. Version 3.5 is no longer available and has been superseded by Version 7.3. This data set is currently provided by the OCO (Orbiting Carbon Observatory) Project. In expectation of the OCO-2 launch, the algorithm was developed by the Atmospheric CO2 Observations from Space (ACOS) Task as a preparatory project, using GOSAT TANSO-FTS spectra. After the OCO-2 launch, ""ACOS"" data are still produced and improved, using approaches applied to the OCO-2 spectra. The ""ACOS"" data set contains Carbon Dioxide (CO2) column averaged dry air mole fraction for all soundings for which retrieval was attempted. These are the highest-level products made available by the OCO Project, using TANSO-FTS spectral radiances, and algorithm build version 7.3. The GOSAT team at JAXA produces GOSAT TANSO-FTS Level 1B (L1B) data products for internal use and for distribution to collaborative partners, such as ESA and NASA. These calibrated products are augmented by the OCO Project with additional geolocation information and further corrections. Thus produced Level 1B products (with calibrated radiances and geolocation) are the input to the ""ACOS"" Level 2 production process. Even though the GES DISC is not publicly distributing Level 1B ACOS products, it should be known that changes in this version are affecting both Level 1B and Level 2 data. An important enhancement in Level1B will address the degradation in the number of quality-passed soundings. Elimination of many systematic biases, and better agreement with TCCON (Total Carbon Column Observing Network), is expected in Level 2 retrievals. The key changes to the L2 algorithm include scaling the O2-A band spectroscopy (reducing XCO2 bias by 4 or 5 ppm); using interpolation with the instrument lineshape [ ILS ] (reducing XCO2 bias by 1.5 ppm); and fitting a zero level offset to the A-band. Users have to also carefully familiarize themselves with the disclaimer in the new documentation. An important element to note are the updates on data screening. Although a Master Quality Flag is provided in the data product, further analysis of a larger set of data has allowed the science team to provide an updated set of screening criteria. These are listed in the data user's guide, and are recommended instead of the Master Quality Flag. Lastly, users should continue to carefully observe and weigh information from three important flags: ""warn_level"" - Provides a value that summarizes each sounding's acceptability to a larger set of quality filters. A high warn level predicts that the sounding would fail most data filters applied to it. A low warn level suggests that the sounding would pass most quality filters that might be applied. ""sounding_qual_flag"" - quality of input data provided to the retrieval processing ""outcome_flag"" - retrieval quality based upon certain internal thresholds (not thoroughly evaluated) ""master_quality_flag"" - four possible values: ""Good"", ""Caution"" and ""Bad"", and ""Failed"", as determined from other flags in the L2 productThe short name for this data type is ACOS_L2S." proprietary -ACOS_L2S_9r ACOS GOSAT/TANSO-FTS Level 2 Full Physics Standard Product V9r (ACOS_L2S) at GES DISC GES_DISC STAC Catalog 2009-04-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633158704-GES_DISC.umm_json "Version 9r is the current version of the data set. Older versions will no longer be available and are superseded by Version 9r. This data set is currently provided by the OCO (Orbiting Carbon Observatory) Project. In expectation of the OCO-2 launch, the algorithm was developed by the Atmospheric CO2 Observations from Space (ACOS) Task as a preparatory project, using GOSAT TANSO-FTS spectra. After the OCO-2 launch, ""ACOS"" data are still produced and improved, using approaches applied to the OCO-2 spectra. The ""ACOS"" data set contains Carbon Dioxide (CO2) column averaged dry air mole fraction for all soundings for which retrieval was attempted. These are the highest-level products made available by the OCO Project, using TANSO-FTS spectral radiances, and algorithm build version 7.3. The GOSAT team at JAXA produces GOSAT TANSO-FTS Level 1B (L1B) data products for internal use and for distribution to collaborative partners, such as ESA and NASA. These calibrated products are augmented by the OCO Project with additional geolocation information and further corrections. Thus produced Level 1B products (with calibrated radiances and geolocation) are the input to the ""ACOS"" Level 2 production process. Even though the GES DISC is not publicly distributing Level 1B ACOS products, it should be known that changes in this version are affecting both Level 1B and Level 2 data. An important enhancement in Level1B will address the degradation in the number of quality-passed soundings. Elimination of many systematic biases, and better agreement with TCCON (Total Carbon Column Observing Network), is expected in Level 2 retrievals. The key changes to the L2 algorithm include scaling the O2-A band spectroscopy (reducing XCO2 bias by 4 or 5 ppm); using interpolation with the instrument lineshape [ ILS ] (reducing XCO2 bias by 1.5 ppm); and fitting a zero level offset to the A-band. Users have to also carefully familiarize themselves with the disclaimer in the new documentation. An important element to note are the updates on data screening. Although a Master Quality Flag is provided in the data product, further analysis of a larger set of data has allowed the science team to provide an updated set of screening criteria. These are listed in the data user's guide, and are recommended instead of the Master Quality Flag. Lastly, users should continue to carefully observe and weigh information from three important flags: ""sounding_qual_flag"" - quality of input data provided to the retrieval processing ""outcome_flag"" - retrieval quality based upon certain internal thresholds (not thoroughly evaluated) " proprietary -ACOS_L2_Lite_FP_7.3 ACOS GOSAT/TANSO-FTS Level 2 bias-corrected XCO2 and other select fields from the full-physics retrieval aggregated as daily files V7.3 (ACOS_L2_Lite_FP) at GES DISC GES_DISC STAC Catalog 2009-04-21 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1339230298-GES_DISC.umm_json "The ACOS Lite files contain bias-corrected XCO2 along with other select fields aggregated as daily files. Orbital granules of the ACOS Level 2 standard product (ACOS_L2S) are used as input. The ""ACOS"" data set contains Carbon Dioxide (CO2) column averaged dry air mole fraction for all soundings for which retrieval was attempted. These are the highest-level products made available by the OCO Project, using TANSO-FTS spectral radiances. The GOSAT team at JAXA produces GOSAT TANSO-FTS Level 1B (L1B) data products for internal use and for distribution to collaborative partners, such as ESA and NASA. These calibrated products are augmented by the OCO Project with additional geolocation information and further corrections. Thus produced Level 1B products (with calibrated radiances and geolocation) are the input to the ""ACOS"" Level 2 production process." proprietary -ACOS_L2_Lite_FP_9r ACOS GOSAT/TANSO-FTS Level 2 bias-corrected XCO2 and other select fields from the full-physics retrieval aggregated as daily files V9r (ACOS_L2_Lite_FP) at GES DISC GES_DISC STAC Catalog 2009-04-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1720416694-GES_DISC.umm_json "Version 9r is the current version of the data set. Older versions will no longer be available and are superseded by Version 9r. The ACOS Lite files contain bias-corrected XCO2 along with other select fields aggregated as daily files. Orbital granules of the ACOS Level 2 standard product (ACOS_L2S) are used as input. The ""ACOS"" data set contains Carbon Dioxide (CO2) column averaged dry air mole fraction for all soundings for which retrieval was attempted. These are the highest-level products made available by the OCO Project, using TANSO-FTS spectral radiances. The GOSAT team at JAXA produces GOSAT TANSO-FTS Level 1B (L1B) data products for internal use and for distribution to collaborative partners, such as ESA and NASA. These calibrated products are augmented by the OCO Project with additional geolocation information and further corrections. Thus produced Level 1B products (with calibrated radiances and geolocation) are the input to the ""ACOS"" Level 2 production process." proprietary -ACR3L2DM_1 ACRIM III Level 2 Daily Mean Data V001 LARC STAC Catalog 2000-04-05 2013-11-09 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C179031504-LARC.umm_json ACR3L2DM_1 is the Active Cavity Radiometer Irradiance Monitor (ACRIM) III Level 2 Daily Mean Data version 1 product consists of Level 2 total solar irradiance in the form of daily means gathered by the ACRIM III instrument on the ACRIMSAT satellite. The daily means are constructed from the shutter cycle results for each day. proprietary -ACR3L2SC_1 ACRIM III Level 2 Shutter Cycle Data V001 LARC STAC Catalog 2000-04-05 2013-11-09 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C61787524-LARC.umm_json ACR3L2SC_1 is the Active Cavity Radiometer Irradiance Monitor (ACRIM) III Level 2 Shutter Cycle Data version 1 product contains Level 2 total solar irradiance in the form of shutter cycles gathered by the ACRIM instrument on the ACRIMSAT satellite. proprietary -ACTIVATE-FLEXPART_1 ACTIVATE FLEXible PARTicle (FLEXPART) Dispersion Model Back-trajectories LARC_ASDC STAC Catalog 2020-02-14 2022-06-30 180, 0, -180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2647129204-LARC_ASDC.umm_json ACTIVATE-FLEXPART is the FLEXible PARTicle dispersion model back-trajectories ending at the HU-25 Falcon locations. 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-Satellite_1 ACTIVATE GOES-16 Supplementary Data Products LARC_ASDC STAC Catalog 2020-09-20 2022-10-31 -95, 0, -25, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2647017088-LARC_ASDC.umm_json ACTIVATE_Satellite_Data_1 is the GOES-16 satellite data supporting the ACTIVATE suborbital campaign. 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_AerosolCloud_AircraftRemoteSensing_KingAir_Data_1 ACTIVATE King Air Aerosol and Cloud Remotely Sensed Data LARC_ASDC STAC Catalog 2020-02-10 2022-06-30 -85, 25, -58.5, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1994461250-LARC_ASDC.umm_json ACTIVATE_AerosolCloud_AircraftRemoteSensing_KingAir_Data is the aerosol and cloud data collected onboard the B-200 King Air aircraft via remote sensing 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. 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 is a five-year project (January 2019-December 2023) that will provide important globally-relevant data about changes in marine boundary layer cloud systems, atmospheric aerosols and multiple feedbacks that warm or cool the climate. ACTIVATE studies the atmosphere over the western North Atlantic and samples 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 will primarily be 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 will also be 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 are planned 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 is 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_Aerosol_AircraftInSitu_Falcon_Data_1 ACTIVATE Falcon In Situ Aerosol Data LARC_ASDC STAC Catalog 2020-02-14 2022-06-30 -85, 25, -58.5, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1994460846-LARC_ASDC.umm_json ACTIVATE_Aerosol_AircraftInSitu_Falcon_Data is the aerosol 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 -ACTIVATE_Cloud_AircraftInSitu_Falcon_Data_1 ACTIVATE Falcon In Situ Cloud Data LARC_ASDC STAC Catalog 2020-02-14 2022-06-30 -85, 25, -58.5, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1994461088-LARC_ASDC.umm_json ACTIVATE_Cloud_AircraftInSitu_Falcon_Data is the cloud 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 -ACTIVATE_Merge_Data_1 ACTIVATE Falcon Aircraft Merge Data Files LARC_ASDC STAC Catalog 2020-02-14 2022-06-30 -85, 25, -58.5, 50 https://cmr.earthdata.nasa.gov/search/concepts/C2119361908-LARC_ASDC.umm_json ACTIVATE_Merge_Data is the pre-generated merge data files created from data collected onboard the HU-25 Falcon aircraft 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. 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 is a five-year project (January 2019-December 2023) that will provide important globally-relevant data about changes in marine boundary layer cloud systems, atmospheric aerosols and multiple feedbacks that warm or cool the climate. ACTIVATE studies the atmosphere over the western North Atlantic and samples 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 will primarily be 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 will also be 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 are planned 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 is 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_MetNav_AircraftInSitu_Falcon_Data_1 ACTIVATE Falcon In-Situ Meteorological and Navigational Data LARC_ASDC STAC Catalog 2020-02-10 2022-06-20 -85, 25, -58.5, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1994460739-LARC_ASDC.umm_json ACTIVATE_MetNav_AircraftInSitu_Falcon_Data is the meteorological and navigational 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 -ACTIVATE_MetNav_AircraftInSitu_KingAir_Data_1 ACTIVATE King Air Meteorological and Navigational Data LARC_ASDC STAC Catalog 2019-12-16 2022-06-30 -85, 25, -58.5, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1994460996-LARC_ASDC.umm_json ACTIVATE_MetNav_AircraftInSitu_KingAir_Data is the meteorological and navigational data collected onboard the B-200 King Air 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. 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 is a five-year project (January 2019-December 2023) that will provide important globally-relevant data about changes in marine boundary layer cloud systems, atmospheric aerosols and multiple feedbacks that warm or cool the climate. ACTIVATE studies the atmosphere over the western North Atlantic and samples 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 will primarily be 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 will also be 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 are planned 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 is 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 -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 AERDB_L2_VIIRS_NOAA20_NRT_2 VIIRS/NOAA-20 Deep Blue Aerosol L2 6-Min Swath 6 km (v2.0) ASIPS STAC Catalog 2023-06-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2706369224-ASIPS.umm_json The NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) NASA standard Level-2 (L2) deep blue aerosol product provides satellite-derived measurements of Aerosol Optical Thickness (AOT) and their properties over land and ocean, every 6 minutes, globally. The Deep Blue algorithm draws its heritage from previous applications to retrieve AOT from Sea‐viewing Wide Field‐of‐view Sensor (SeaWiFS) and Moderate Resolution Imaging Spectroradiometer (MODIS) measurements over land. This orbit-level product (Short-name: AERDB_L2_VIIRS_NOAA20) 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. The L2 Deep Blue AOT data products, at 550 nanometers reference wavelengths, are derived from particular VIIRS bands using two primary AOT retrieval algorithms: Deep Blue algorithm over land, and the Satellite Ocean Aerosol Retrieval (SOAR) algorithm over ocean. Although this product is called Deep Blue based on retrievals for the land algorithm, the data includes over-water retrievals as well. proprietary AERDB_L2_VIIRS_SNPP_NRT_1.1 VIIRS/SNPP Deep Blue Aerosol L2 6-Min Swath 6 km ASIPS STAC Catalog 2019-04-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1607549631-ASIPS.umm_json The Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) NASA standard Level-2 (L2) deep blue aerosol product provides satellite-derived measurements of Aerosol Optical Thickness (AOT) and their properties over land and ocean, every 6 minutes, globally. The Deep Blue algorithm draws its heritage from previous applications to retrieve AOT from Sea‐viewing Wide Field‐of‐view Sensor (SeaWiFS) and Moderate Resolution Imaging Spectroradiometer (MODIS) measurements over land. This orbit-level product (Short-name: AERDB_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. The L2 Deep Blue AOT data products, at 550 nanometers reference wavelengths, are derived from particular VIIRS bands using two primary AOT retrieval algorithms: Deep Blue algorithm over land, and the Satellite Ocean Aerosol Retrieval (SOAR) algorithm over ocean. Although this product is called Deep Blue based on retrievals for the land algorithm, the data includes over-water retrievals as well. proprietary AERDB_L2_VIIRS_SNPP_NRT_2 VIIRS/SNPP Deep Blue Aerosol L2 6-Min Swath 6 km (v2.0) ASIPS STAC Catalog 2023-06-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2706359459-ASIPS.umm_json The Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) NASA standard Level-2 (L2) deep blue aerosol product provides satellite-derived measurements of Aerosol Optical Thickness (AOT) and their properties over land and ocean, every 6 minutes, globally. The Deep Blue algorithm draws its heritage from previous applications to retrieve AOT from Sea‐viewing Wide Field‐of‐view Sensor (SeaWiFS) and Moderate Resolution Imaging Spectroradiometer (MODIS) measurements over land. This orbit-level product (Short-name: AERDB_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. The L2 Deep Blue AOT data products, at 550 nanometers reference wavelengths, are derived from particular VIIRS bands using two primary AOT retrieval algorithms: Deep Blue algorithm over land, and the Satellite Ocean Aerosol Retrieval (SOAR) algorithm over ocean. Although this product is called Deep Blue based on retrievals for the land algorithm, the data includes over-water retrievals as well. 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 -AERIALDIGI_Not provided 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 -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 -AE_SI12_3 AMSR-E/Aqua Daily L3 12.5 km Brightness Temperature, Sea Ice Concentration, & Snow Depth Polar Grids V003 NSIDC_ECS STAC Catalog 2002-06-01 2011-10-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1452437262-NSIDC_ECS.umm_json This Level-3 gridded product (AE_SI12) includes brightness temperatures at 18.7 through 89.0 GHz, sea ice concentration, and snow depth over sea ice. proprietary -AE_SI25_3 AMSR-E/Aqua Daily L3 25 km Brightness Temperature & Sea Ice Concentration Polar Grids V003 NSIDC_ECS STAC Catalog 2002-06-01 2011-10-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1489170961-NSIDC_ECS.umm_json This Level-3 gridded product (AE_SI25) includes brightness temperatures at 6.9 through 89.0 GHz and sea ice concentrations. proprietary -AE_SI6_3 AMSR-E/Aqua Daily L3 6.25 km 89 GHz Brightness Temperature Polar Grids V003 NSIDC_ECS STAC Catalog 2002-06-01 2011-10-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1489168475-NSIDC_ECS.umm_json This Level-3 gridded product (AE_SI6) includes brightness temperatures at 89.0 GHz. Data are mapped to a polar stereographic grid at 6.25 km spatial resolution. This product is an intermediate product during processing of AMSR-E Level-3 sea ice products at 12.5 km and 25 km resolution. proprietary -AE_SID_1 AMSR-E/Aqua Daily L3 6.25 km Sea Ice Drift Polar Grids V001 NSIDC_ECS STAC Catalog 2011-05-30 2011-10-03 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C186290274-NSIDC_ECS.umm_json This product provides 6.25 km sea ice drift grids for the Northern and Southern Hemispheres. proprietary -AFLVIS1B_1 AfriSAR LVIS L1B Geolocated Return Energy Waveforms V001 NSIDC_ECS STAC Catalog 2016-02-20 2016-03-08 8, -2, 12, 1 https://cmr.earthdata.nasa.gov/search/concepts/C1549378019-NSIDC_ECS.umm_json This data set contains return energy waveform data over Gabon, Africa. The measurements were taken by the NASA Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of a NASA campaign, in collaboration with the European Space Agency (ESA) mission AfriSAR. proprietary -AFLVIS2_1 AfriSAR LVIS L2 Geolocated Surface Elevation Product V001 NSIDC_ECS STAC Catalog 2016-02-20 2016-03-08 8, -2, 12, 1 https://cmr.earthdata.nasa.gov/search/concepts/C1549378743-NSIDC_ECS.umm_json This data set contains surface elevation data over Gabon, Africa. The measurements were taken by the NASA Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of a NASA campaign, in collaboration with the European Space Agency (ESA) mission AfriSAR. proprietary -AFOLVIS1A_1 AfriSAR LVIS L1A Geotagged Images V001 NSIDC_ECS STAC Catalog 2016-02-20 2016-03-08 8, -2, 12, 1 https://cmr.earthdata.nasa.gov/search/concepts/C1932134853-NSIDC_ECS.umm_json This data set contains geotagged images collected over Gabon, Africa. The images were taken by the NASA Digital Mapping Camera paired with the Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of a NASA campaign, in collaboration with the European Space Agency (ESA) mission AfriSAR. proprietary -AG100_003 ASTER Global Emissivity Dataset, 100 meter, HDF5 V003 LPDAAC_ECS STAC Catalog 2000-01-01 2008-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000000362-LPDAAC_ECS.umm_json Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Emissivity Dataset (GED) land surface temperature and emissivity (LST&E) data products are generated using the ASTER Temperature Emissivity Separation (TES) algorithm with a Water Vapor Scaling (WVS) atmospheric correction method using Moderate Resolution Imaging Spectroradiometer (MODIS) (MOD07) (https://modis-atmos.gsfc.nasa.gov/MOD07_L2/index.html) atmospheric profiles and the MODerate spectral resolution TRANsmittance (MODTRAN 5.2 radiative transfer model). This dataset is computed from all clear-sky pixels of ASTER scenes acquired from 2000 through 2008. AG100 data are available globally at spatial resolution of 100 meters. The National Aeronautics and Space Administration’s (NASA) Jet Propulsion Laboratory (JPL), California Institute of Technology, developed the ASTER GED product. proprietary -AG1km_003 ASTER Global Emissivity Dataset, 1 kilometer, HDF5 V003 LPDAAC_ECS STAC Catalog 2000-01-01 2008-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000000380-LPDAAC_ECS.umm_json Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Emissivity Dataset (GED) land surface temperature and emissivity (LST&E) data products are generated using the ASTER Temperature Emissivity Separation (TES) algorithm with a Water Vapor Scaling (WVS) atmospheric correction method using Moderate Resolution Imaging Spectroradiometer (MODIS) (MOD07) (https://modis-atmos.gsfc.nasa.gov/MOD07_L2/index.html) atmospheric profiles and the MODerate Spectral resolution TRANsmittance (MODTRAN) 5.2 radiative transfer model. This dataset is computed from all clear-sky pixels of ASTER scenes acquired from 2000 through 2008. AG1KM data are available globally at spatial resolution of 1 kilometer. The National Aeronautics and Space Administration’s (NASA) Jet Propulsion Laboratory (JPL), California Institute of Technology, developed the ASTER GED product. proprietary -AG5KMMOH_041 ASTER Global Emissivity Dataset, Monthly, 0.05 deg, HDF5 V041 LPDAAC_ECS STAC Catalog 2000-03-01 2015-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1344831606-LPDAAC_ECS.umm_json Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Emissivity Dataset (GED) is a collection of monthly files (see known issues for gaps) for each year of global emissivity. The ASTER GED data products are generated for 2000 through 2015 using the ASTER Temperature Emissivity Separation (TES) algorithm atmospheric correction method. This algorithm method uses Moderate Resolution Imaging Spectroradiometer (MODIS) Atmospheric Profiles product (MOD07) (https://modis-atmos.gsfc.nasa.gov/MOD07_L2/index.html) and the MODerate spectral resolution TRANsmittance (MODTRAN) 5.2 radiative transfer model along with the snow cover data from the standard monthly MODIS/Terra snow cover monthly global 0.05 degree product (MOD10CM) (https://doi.org/10.5067/MODIS/MOD10CM.006), and vegetation information from the MODIS monthly gridded NDVI product (MOD13C2) (https://doi.org/10.5067/MODIS/MOD13C2.006). ASTER GED Monthly V041 data products are offered in Hierarchical Data Format 5 (HDF5). The National Aeronautics and Space Administration’s (NASA) Jet Propulsion Laboratory (JPL), California Institute of Technology, developed the ASTER GED product. proprietary -AIRABRAD_005 AIRS/Aqua L1B AMSU (A1/A2) geolocated and calibrated brightness temperatures V005 (AIRABRAD) at GES DISC GES_DISC STAC Catalog 2002-05-21 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1243477366-GES_DISC.umm_json "The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. The AMSU-A instrument is co-aligned with AIRS so that successive blocks of 3 x 3 AIRS footprints are contained within one AMSU-A footprint. AMSU-A is primarily a temperature sounder that provides atmospheric information in the presence of clouds, which can be used to correct the AIRS infrared measurements for the effects of clouds. This is possible because non-precipitating clouds are for the most part transparent to microwave radiation, in contrast to visible and infrared radiation which are strongly scattered and absorbed by clouds. AMSU-A1 has 13 channels from 50 - 90 GHz and AMSU-A2 has 2 channels from 23 - 32 GHz. The AIRABRAD_005 products are stored in files (often referred to as ""granules"") that contain 6 minutes of data, 30 footprints across track by 45 lines along track." proprietary -AIRABRAD_NRT_005 AIRS/Aqua L1B Near Real Time (NRT) AMSU (A1/A2) geolocated and calibrated brightness temperatures V005 (AIRABRAD_NRT) at GES DISC GES_DISC STAC Catalog 2015-12-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1233769000-GES_DISC.umm_json "The AMSU-A Level 1B Near Real Time (NRT) product (AIRABRAD_NRT_005) differs from the routine product (AIRABRAD_005) in 2 ways to meet the three hour latency requirements of the Land Atmosphere NRT Capability Earth Observing System (LANCE): (1) The NRT granules are produced without previous or subsequent granules if those granules are not available within 5 minutes, (2) the predictive ephemeris/attitude data are used rather than the definitive ephemeris/attitude. The consequences of these differences are described in the AIRS Near Real Time (NRT) data products document. The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. The AMSU-A instrument is co-aligned with AIRS so that successive blocks of 3 x 3 AIRS footprints are contained within one AMSU-A footprint. AMSU-A is primarily a temperature sounder that provides atmospheric information in the presence of clouds, which can be used to correct the AIRS infrared measurements for the effects of clouds. This is possible because non-precipitating clouds are for the most part transparent to microwave radiation, in contrast to visible and infrared radiation which are strongly scattered and absorbed by clouds. AMSU-A1 has 13 channels from 50 - 90 GHz and AMSU-A2 has 2 channels from 23 - 32 GHz. The AIRABRAD_NRT_005 products are stored in files (often referred to as ""granules"") that contain 6 minutes of data, 30 footprints across track by 45 lines along track." proprietary -AIRHBRAD_005 AIRS/Aqua L1B HSB geolocated and calibrated brightness temperatures V005 (AIRHBRAD) at GES DISC GES_DISC STAC Catalog 2002-05-24 2003-11-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1243477367-GES_DISC.umm_json The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. The HSB level 1B data set contains HSB calibrated and geolocated brightness temperatures in degrees Kelvin. This data set is generated from HSB Level 1A digital numbers (DN), including 4 microwave channels in the 150 - 190 GHz region of the spectrum. A day's worth of data is divided into 240 scenes each of 6 minute duration. For the HSB measurements, an individual scene consists of 135 scanlines containing 90 cross-track footprints; thus there is a total of 135 x 90 = 12,150 footprints per HSB scene, which coincide very closely with the AIRS infrared footprints. HSB is primarily a humidity sounder that provides information on snow/ice cover and precipitation using the 150 GHz window channel, and the coarse distribution of moisture in the troposphere using the 183 GHz channels. Combined with simultaneous measurements from the AIRS and AMSU-A instruments, the calibrated HSB brightness temperatures will be used to initialize the atmospheric moisture profile required for the retrieval of the final AIRS geophysical products. An HSB level 1B daily summary browse product is also available to provide users with a global quick look capability when searching for data of interest. Summary Browse Products are high-level pictorial representations of AIRS Instrument (AIRS Infrared, AMSU-A and HSB) data designed as an aid to ordering data from the GSFC DISC or EDG. the HSB instrument failed in November of 2003. proprietary -AIRIBQAP_005 AIRS/Aqua L1B Infrared (IR) quality assurance subset V005 (AIRIBQAP) at GES DISC GES_DISC STAC Catalog 2002-08-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1243477368-GES_DISC.umm_json "The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. The AIRS IR Level 1B QA Subset contains Quality Assurance (QA) parameters that a user of may use to filter AIRS IR Level 1B radiance data to create a subset of analysis. QA parameters indicate quality of granule-per-channel, scan-per-channel, field of view, and channel and should be accessed before any data of analysis. It also contains ""glintlat"", ""glintlon"", and ""sun_glint_distant"" that users can use to check for possibility of solar glint contamination." proprietary -AIRIBQAP_NRT_005 AIRS/Aqua L1B Near Real Time (NRT) Infrared (IR) quality assurance subset V005 (AIRIBQAP_NRT) at GES DISC GES_DISC STAC Catalog 2015-12-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1233768981-GES_DISC.umm_json "The AIRS Level 1B Near Real Time (NRT) product (AIRIBQAP_NRT_005) differs from the routine product (AIRIBQAP_005) in 2 ways to meet the three hour latency requirements of the Land Atmosphere NRT Capability Earth Observing System (LANCE): (1) The NRT granules are produced without previous or subsequent granules if those granules are not available within 5 minutes, (2) the predictive ephemeris/attitude data are used rather than the definitive ephemeris/attitude. The consequences of these differences are described in the AIRS Near Real Time (NRT) data products document. The Atmospheric Infrared Sounder (AIRS) is a facility instrument aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. AIRS data will be generated continuously. Global coverage will be obtained twice daily (day and night) on a 1:30pm sun synchronous orbit from a 705-km altitude. The AIRS IR Level 1B QA Subset contains Quality Assurance (QA) parameters that a user of may use to filter AIRS IR Level 1B radiance data to create a subset of analysis. QA parameters indicate quality of granule-per-channel, scan-per-channel, field of view, and channel and should be accessed before any data of analysis. It also contains ""glintlat"", ""glintlon"", and ""sun_glint_distant"" that users can use to check for possibility of solar glint contamination." proprietary -AIRIBRAD_005 AIRS/Aqua L1B Infrared (IR) geolocated and calibrated radiances V005 (AIRIBRAD) at GES DISC at GES DISC GES_DISC STAC Catalog 2002-08-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1243477369-GES_DISC.umm_json " WARNING: On 2021/09/23 the EOS Aqua executed a Deep Space Maneuver (DSM). In the DSM, the spacecraft is turned such that the normal Earth field of regard is deep space. The thermal impact of the DSM caused a shift of the centroids of spectral response functions (SRF) of about 1% of the width of the SRF, equivalent to a frequency shift of 9 parts per million. This shift is reflected in the “spectral_freq” parameter (observed frequencies) in the L1b v5 files for each 6 minute granule. The magnitude of the effect on brightness temperatures (BT) depends on the spectral gradient of each channel. Maximum BT shifts are approximately +- 0.5 K, although many channels experience far smaller BT shifts. Approximately 1803 channels have BT shifts of less than 0.1 K and 575 channels are now shifted in BT by more than 0.1 K, while 231 of these channels have BT shifts greater than 0.2 K. Users of the L1b v5 product who are concerned that these shifts may impact their science investigations and applications are encouraged to switch to the AIRS L1c v6.7.4 product, which, among many other improvements, converts the spectra to a fixed frequency grid. END OF WARNING. The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. The AIRS Infrared (IR) level 1B data set contains AIRS calibrated and geolocated radiances in milliWatts/m^2/cm^-1/steradian for 2378 infrared channels in the 3.74 to 15.4 micron region of t he spectrum. The AIRS instrument is co-aligned with AMSU-A so that successive blocks of 3 x 3 AIRS footprints are contained within one AMSU-A footprint. The AIRIBRAD_005 products are stored in files (often referred to as ""granules"") that contain 6 minutes of data, 90 footprints across track by 135 lines along track." proprietary -AIRIBRAD_NRT_005 AIRS/Aqua L1B Near Real Time (NRT) Infrared (IR) geolocated and calibrated radiances V005 (AIRIBRAD_NRT) at GES DISC GES_DISC STAC Catalog 2015-12-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1233768982-GES_DISC.umm_json " WARNING: On 2021/09/23 the EOS Aqua executed a Deep Space Maneuver (DSM). In the DSM, the spacecraft is turned such that the normal Earth field of regard is deep space. The thermal impact of the DSM caused a shift of the centroids of spectral response functions (SRF) of about 1% of the width of the SRF, equivalent to a frequency shift of 9 parts per million. This shift is reflected in the “spectral_freq” parameter (observed frequencies) in the L1b v5 files for each 6 minute granule. The magnitude of the effect on brightness temperatures (BT) depends on the spectral gradient of each channel. Maximum BT shifts are approximately +- 0.5 K, although many channels experience far smaller BT shifts. Approximately 1803 channels have BT shifts of less than 0.1 K and 575 channels are now shifted in BT by more than 0.1 K, while 231 of these channels have BT shifts greater than 0.2 K. Users of the L1b v5 product who are concerned that these shifts may impact their science investigations and applications are encouraged to switch to the AIRS L1c v6.7.4 product, which, among many other improvements, converts the spectra to a fixed frequency grid. END OF WARNING. The AIRS Level 1B Near Real Time (NRT) product (AIRIBRAD_NRT_005) differs from the routine product (AIRIBRAD_005) in 2 ways to meet the three hour latency requirements of the Land Atmosphere NRT Capability Earth Observing System (LANCE): (1) The NRT granules are produced without previous or subsequent granules if those granules are not available within 5 minutes, (2) the predictive ephemeris/attitude data are used rather than the definitive ephemeris/attitude. The consequences of these differences are described in the AIRS Near Real Time (NRT) data products document. The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. The AIRS Infrared (IR) level 1B data set contains AIRS calibrated and geolocated radiances in milliWatts/m^2/cm^-1/steradian for 2378 infrared channels in the 3.74 to 15.4 micron region of t he spectrum. The AIRS instrument is co-aligned with AMSU-A so that successive blocks of 3 x 3 AIRS footprints are contained within one AMSU-A footprint. The AIRIBRAD_NRT_005 products are stored in files (often referred to as ""granules"") that contain 6 minutes of data, 90 footprints across track by 135 lines along track." proprietary -AIRIBRAD_NRT_BUFR_005 AIRS/Aqua L1B Near Real Time (NRT) Infrared (IR) geolocated and calibrated radiances in BUFR format V005 (AIRIBRAD_NRT_BUFR) at GES DISC GES_DISC STAC Catalog 2015-12-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1233769001-GES_DISC.umm_json WARNING: On 2021/09/23 the EOS Aqua executed a Deep Space Maneuver (DSM). In the DSM, the spacecraft is turned such that the normal Earth field of regard is deep space. The thermal impact of the DSM caused a shift of the centroids of spectral response functions (SRF) of about 1% of the width of the SRF, equivalent to a frequency shift of 9 parts per million. This shift is reflected in the “spectral_freq” parameter (observed frequencies) in the L1b v5 files for each 6 minute granule. The magnitude of the effect on brightness temperatures (BT) depends on the spectral gradient of each channel. Maximum BT shifts are approximately +- 0.5 K, although many channels experience far smaller BT shifts. Approximately 1803 channels have BT shifts of less than 0.1 K and 575 channels are now shifted in BT by more than 0.1 K, while 231 of these channels have BT shifts greater than 0.2 K. Users of the L1b v5 product who are concerned that these shifts may impact their science investigations and applications are encouraged to switch to the AIRS L1c v6.7.4 product, which, among many other improvements, converts the spectra to a fixed frequency grid. END OF WARNING. This product is a 324-channel subset of the AIRIBRAD_NRT_005 product in which the AMSU footprints from AIRABRAD_NRT_005 product are also included and converted to binary Universal Form for the Representation of meteorological data (BUFR). The AIRS and AMSU Level 1B products differ from routine processing in 2 ways to meet the three hour latency requirements of the Land Atmosphere NRT Capability Earth Observing System (LANCE): (1) The NRT granules are produced without previous or subsequent granules if those granules are not available within 5 minutes, (2) the predictive ephemeris/attitude data are used rather than the definitive ephemeris/attitude. The consequences of these differences are described in the AIRS Near Real Time (NRT) data products document. The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. proprietary AIRSAR_INT_JPG_1 AIRSAR_ALONGTRACK_INTERFEROMETRY_JPG ASF STAC Catalog 1998-10-25 2004-03-05 -172.880269, -27.388834, -49.704356, 69.25925 https://cmr.earthdata.nasa.gov/search/concepts/C1213921626-ASF.umm_json AIRSAR along-track interferometric browse product JPG proprietary AIRSAR_POL_3FP_1 AIRSAR_POLSAR_3_FREQ_POLARIMETRY ASF STAC Catalog 1990-03-02 2004-03-21 -172.880269, -27.388834, -49.704356, 69.25925 https://cmr.earthdata.nasa.gov/search/concepts/C1213921661-ASF.umm_json AIRSAR three-frequency polarimetric frame product proprietary AIRSAR_POL_SYN_3FP_1 AIRSAR_POLSAR_SYNOPTIC_3_FREQ_POLARIMETRY ASF STAC Catalog 1990-03-29 1991-07-16 -172.880269, -27.388834, -49.704356, 69.25925 https://cmr.earthdata.nasa.gov/search/concepts/C1213928843-ASF.umm_json AIRSAR three-frequency polarimetric synoptic product proprietary @@ -102,21 +31,7 @@ AIRSAR_TOP_DEM_L_1 AIRSAR_TOPSAR_DEM_L ASF STAC Catalog 1993-06-08 2004-12-04 -1 AIRSAR_TOP_DEM_P_1 AIRSAR_TOPSAR_DEM_P ASF STAC Catalog 1993-06-08 2004-12-04 -172.880269, -27.388834, -49.704356, 69.25925 https://cmr.earthdata.nasa.gov/search/concepts/C1213926777-ASF.umm_json AIRSAR topographic SAR digital elevation model PTIF product proprietary AIRSAR_TOP_L-STOKES_1 AIRSAR_TOPSAR_L-BAND_STOKES ASF STAC Catalog 1993-06-08 2004-12-04 -172.880269, -27.388834, -49.704356, 69.25925 https://cmr.earthdata.nasa.gov/search/concepts/C1213927939-ASF.umm_json AIRSAR topographic SAR digital elevation model L_Stokes product proprietary AIRSAR_TOP_P-STOKES_1 AIRSAR_TOPSAR_P-BAND_STOKES ASF STAC Catalog 1993-06-08 2004-12-04 -172.880269, -27.388834, -49.704356, 69.25925 https://cmr.earthdata.nasa.gov/search/concepts/C1213928209-ASF.umm_json AIRSAR topographic SAR digital elevation model P_Stokes product proprietary -AIRSM_CPR_MAT_3.2 AIRS-AMSU variables-CloudSat cloud mask, radar reflectivities, and cloud classification matchups V3.2 (AIRSM_CPR_MAT) at GES DISC GES_DISC STAC Catalog 2006-06-15 2012-12-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1236224182-GES_DISC.umm_json "This is AIRS-CloudSat collocated subset, in NetCDF 4 format. These data contain collocated: AIRS/AMSU retrievals at AMSU footprints, CloudSat radar reflectivities, and MODIS cloud mask. These data are created within the frames of the MEaSUREs project. The basic task is to bring together retrievals of water vapor and cloud properties from multiple ""A-train"" instruments (AIRS, AMSR-E, MODIS, AMSU, MLS, CloudSat), classify each ""scene"" (instrument look) using the cloud information, and develop a merged, multi-sensor climatology of atmospheric water vapor as a function of altitude, stratified by the cloud classes. This is a large science analysis project that will require the use of SciFlo technologies to discover and organize all of the datasets, move and cache datasets as required, find space/time ""matchups"" between pairs of instruments, and process years of satellite data to produce the climate data records. The short name for this collection is AIRSM_CPR_MAT Parameters contained in the data files include the following: Variable Name|Description|Units CH4_total_column|Retrieved total column CH4| (molecules/cm2) CloudFraction|CloudSat/CALIPSO Cloud Fraction| (None) CloudLayers| Number of hydrometeor layers| (count) clrolr|Clear-sky Outgoing Longwave Radiation|(Watts/m**2) CO_total_column|Retrieved total column CO| (molecules/cm2) CPR_Cloud_mask| CPR Cloud Mask |(None) Data_quality| Data Quality |(None) H2OMMRSat|Water vapor saturation mass mixing ratio|(gm/kg) H2OMMRStd|Water Vapor Mass Mixing Ratio |(gm/kg dry air) MODIS_Cloud_Fraction| MODIS 250m Cloud Fraction| (None) MODIS_scene_var |MODIS scene variability| (None) nSurfStd|1-based index of the first valid level|(None) O3VMRStd|Ozone Volume Mixing Ratio|(vmr) olr|All-sky Outgoing Longwave Radiation|(Watts/m**2) Radar_Reflectivity| Radar Reflectivity Factor| (dBZe) Sigma-Zero| Sigma-Zero| (dB*100) TAirMWOnlyStd|Atmospheric Temperature retrieved using only MW|(K) TCldTopStd|Cloud top temperature|(K) totH2OStd|Total precipitable water vapor| (kg/m**2) totO3Std|Total ozone burden| (Dobson) TSurfAir|Atmospheric Temperature at Surface|(K) TSurfStd|Surface skin temperature|(K) End of parameter information" proprietary -AIRS_CPR_IND_4.0 AIRS-CloudSat cloud mask and radar reflectivities collocation indexes V4.0 (AIRS_CPR_IND) at GES_DISC GES_DISC STAC Catalog 2006-06-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1236224151-GES_DISC.umm_json "Version 4.1 is the current version of the data set. Previous versions are no longer available and have been superseded by Version 4.1. This is AIRS-AMSU-CloudSat collocation indexes, in netCDF-4 format. These data map CloudSat profile indexes to the collocated AMSU field of views, and AIRS IR footprints, per AIRS 6-min granule time. Hence it can be considered as Level 1. These data are created within the frames of the MEaSUREs project. The basic task is to bring together retrievals of water vapor and cloud properties from multiple ""A-train"" instruments (AIRS, AMSR-E, MODIS, AMSU, MLS, & CloudSat), classify each ""scene"" (instrument look) using the cloud information, and develop a merged, multi-sensor climatology of atmospheric water vapor as a function of altitude, stratified by the cloud classes. This is a large science analysis project that will require the use of SciFlo technologies to discover and organize all of the datasets, move and cache datasets as required, find space/time ""matchups"" between pairs of instruments, and process years of satellite data to produce the climate data records. The short name for this collection is AIRS_CPR_IND" proprietary -AIRS_CPR_MAT_3.2 AIRS-CloudSat cloud mask, radar reflectivities, and cloud classification matchups V3.2 (AIRS_CPR_MAT) at GES DISC GES_DISC STAC Catalog 2006-06-15 2012-12-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1236224153-GES_DISC.umm_json "This is AIRS-CloudSat collocated subset, in NetCDF-4 format. These data contain collocated: AIRS Level 1b radiances spectra, CloudSat radar reflectivities, and MODIS cloud mask. These data are created within the frames of the MEaSUREs project. The basic task is to bring together retrievals of water vapor and cloud properties from multiple ""A-train"" instruments (AIRS, AMSR-E, MODIS, AMSU, MLS, CloudSat), classify each ""scene"" (instrument look) using the cloud information, and develop a merged, multi-sensor climatology of atmospheric water vapor as a function of altitude, stratified by the cloud classes. This is a large science analysis project that will require the use of SciFlo technologies to discover and organize all of the datasets, move and cache datasets as required, find space/time ""matchups"" between pairs of instruments, and process years of satellite data to produce the climate data records. The short name for this collection is AIRS_CPR_MAT Parameters contained in the data files include the following: Variable Name|Description|Units CldFrcStdErr|Cloud Fraction|(None) CloudLayers| Number of hydrometeor layers| (count) CPR_Cloud_mask| CPR Cloud Mask| (None) DEM_elevation| Digital Elevation Map| (m) dust_flag|Dust Flag|(None) latAIRS|AIRS IR latitude|(deg) Latitude|CloudSat Latitude |(degrees) LayerBase| Height of Layer Base| (m) LayerTop| Height of layer top| (m) lonAIRS|AIRS IR longitude|(deg) Longitude|CloudSat Longitude| (degrees) MODIS_cloud_flag| MOD35_bit_2and3_cloud_flag| (None) Radar_Reflectivity| Radar Reflectivity Factor| (dBZe) radiances|Radiances|(milliWatts/m**2/cm**-1/steradian) Sigma-Zero| Sigma-Zero| (dB*100) spectral_clear_indicator|Spectral Clear Indicator|(None) Vertical_binsize|CloudSat vertical binsize| (m) End of parameter information" proprietary -AIRVBQAP_NRT_005 AIRS/Aqua L1B Near Real Time (NRT) Visible/Near Infrared (VIS/NIR) quality assurance subset V005 (AIRVBQAP_NRT) at GES DISC GES_DISC STAC Catalog 2015-12-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1233768983-GES_DISC.umm_json "The AIRS Level 1B Near Real Time (NRT) product (AIRVBQAP_NRT_005) differs from the routine product (AIRVBQAP_005) in 2 ways to meet the three hour latency requirements of the Land Atmosphere NRT Capability Earth Observing System (LANCE): (1) The NRT granules are produced without previous or subsequent granules if those granules are not available within 5 minutes, (2) the predictive ephemeris/attitude data are used rather than the definitive ephemeris/attitude. The consequences of these differences are described in the AIRS Near Real Time (NRT) data products document. The Atmospheric Infrared Sounder (AIRS) Visible/Near Infrared (VIS/NIR) instrument in combination with the AIRS Infrared Spectrometer, the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB) constitute an innovative atmospheric sounding group aboard the Earth Observing System (EOS) Aqua platform in a near-polar Sun-synchronous orbit with a 1:30 AM/PM equator crossing time and an ~705 km altitude. The AIRS Visible/Near Infrared (VIS/NIR) Level 1B QA Subset contains Quality Assurance (QA) parameters that a may use of filter AIRS VIS/NIR Level 1B radiance data to create a subset of analysis. It includes ""state"" that user should check before using any VIS/NIR Level 1B data radiance and ""glintlat"", ""glintlon"", and ""sun_glint_distant"" that users can use to check for possibility of solar glint contamination. AIRS VIS/NIR Level 1B radiance data can be found in AIRVBRAD." proprietary -AIRVBRAD_005 AIRS/Aqua L1B Visible/Near Infrared (VIS/NIR) geolocated and calibrated radiances V005 (AIRVBRAD) at GES DISC GES_DISC STAC Catalog 2002-08-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1243477373-GES_DISC.umm_json The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. The VIS/NIR level 1B data set contains visible and near-infrared calibrated and geolocated radiances in W/m^2/micron/steradian. This data set includes 4 channels in the 0.4 to 1.0 um region of the spectrum. Each day of AIRS data are divided into 240 granules each of 6 minute duration. However, the VIS/NIR granules are only produced in the daytime so there will always be fewer VIS/NIR granules. The primary purpose of the VIS/NIR channels is the detection and flagging of significant inhomogeneities in the infrared field-of-view,which may adversely impact the quality of the temperature and moisture soundings. Therefore the VIS/NIR radiance product has a higher spatial resolution than the Infrared radiance product. Each VIS/NIR scan has 9 alongtrack footprints and 720 across track footprints. For ease in comparing with the infrared product which has 135 along track footprints and 90 across track footprints, the VIS/NIR product has additional dimensions to account for the 9 additional alongtrack and 8 additional across track footprints. proprietary -AIRVBRAD_NRT_005 AIRS/Aqua L1B Near Real Time (NRT) Visible/Near Infrared (VIS/NIR) geolocated and calibrated radiances V005 (AIRVBRAD_NRT) at GES DISC GES_DISC STAC Catalog 2018-11-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1233768984-GES_DISC.umm_json "The AIRS Visible/Near Infrared (VIS/NIR) Level 1B Near Real Time (NRT) product (AIRVBRAD_NRT_005) differs from the routine product (AIRVBRAD_005) in 2 ways to meet the three hour latency requirements of the Land Atmosphere NRT Capability Earth Observing System (LANCE): (1) The NRT granules are produced without previous or subsequent granules if those granules are not available within 5 minutes, (2) the predictive ephemeris/attitude data are used rather than the definitive ephemeris/attitude. The consequences of these differences are described in the AIRS Near Real Time (NRT) data products document. The AIRS VIS/NIR level 1B data set contains visible and near-infrared calibrated and geolocated radiances in W/m^2/micron/steradian for 4 channels in the 0.4 to 1.0 um region of the spectrum. The spectral range of the VIS/NIR channels are as follows: Channel 1 0.41 um - 0.44 um, Channel 2 0.58 um - 0.68 um, Channel 3 0.71 um - 0.92 um, Channel 4 0.49 um - 0.94 um. The AIRVBRAD_NRT_005 products are stored in files (often referred to as ""granules"") that contain 6 minutes of data, 90 footprints across track by 135 lines along track. The VIS/NIR granules are only produced in the daytime so there will always be fewer VIS/NIR granules than Infrared or microwave granules." proprietary -AIRXAMAP_005 AIRS/Aqua Granule map product V005 (AIRXAMAP) at GES DISC GES_DISC STAC Catalog 2002-05-21 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1233769004-GES_DISC.umm_json The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. An AIRS granule has been set as 6 minutes of data, 30 footprints cross track by 45 lines along track. The AIRS Granule Map Product consists of images of granule coverage in PDF and JPG format. The images are daily ones but updated every 6 minutes to capture any new available granule. Granules are assembled by ascending, descending, in north and south hemisphere, and the maps are in global cylindrical projection and satellite projection for better view. proprietary -AIRXBCAL_005 AIRS/Aqua L1B Calibration subset V005 (AIRXBCAL) at GES DISC GES_DISC STAC Catalog 2002-08-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1243477315-GES_DISC.umm_json The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. AIRS/Aqua Level-1B calibration subset including clear cases, special calibration sites, random nadir spots, and high clouds. The AIRS Visible/Near Infrared (VIS/NIR) level 1B data set contains AIRS visible and near-infrared calibrated and geolocated radiances in W/m^2/micron/steradian. This data set is generated from AIRS level 1A digital numbers (DN), including 4 channels in the 0.4 to 1.0 um region of the spectrum. proprietary -AK_AVHRR_Not provided Alaska AVHRR Twice-Monthly Composites USGS_LTA STAC Catalog 1990-06-16 -179, 51, -116, 70 https://cmr.earthdata.nasa.gov/search/concepts/C1220565954-USGS_LTA.umm_json The goal of the Alaska Advanced Very High Resolution Radiometer (AVHRR) project is to compile a time series data set of calibrated, georegistered daily observations and twice-monthly maximum normalized difference vegetation index (NDVI) composites for Alaska's annual growing season (April-October). This data set has applications for environmental monitoring and for assessing impacts of global climate change. An Alaska AVHRR data set is comprised of twice-monthly maximum NDVI composites of daily satellite observations. The NDVI composites contain 10 bands of information, including AVHRR channels 1-5, maximum NDVI, satellite zenith, solar zenith, and relative azimuth. The daily observations, bands 1-9, have been calibrated to reflectance, scaled to byte data, and geometrically registered to the Albers Equal-Area Conic map projection. The 10th band is a pointer to identify the date and scene ID of the source daily observation (scene) for each pixel. The compositing process required each daily overpass to be registered to a common map projection to ensure that from day to day each 1-km pixel represented the exact same ground location. The Albers Equal-Area Conic map projection provides for equal area representation, which enables easy measurement of area throughout the data. Each daily observation for the growing season was registered to a base image using image-to-image correlation. The NDVI data are calculated from the calibrated, geometrically registered daily observations. The NDVI value is the difference between near-infrared (AVHRR Channel 2) and visible (AVHRR Channel 1) reflectance values divided by total measured reflectance. A maximum NDVI compositing process was used on the daily observations. The NDVI is examined pixel by pixel for each observation during the compositing period to determine and retain the maximum value. Often when displaying data covering large areas, such as AVHRR data, it is beneficial to include an overlay of either familiar linework for reflectance or polygon data sets to derive statistical summaries of regions. All of the linework images represent lines in raster format as 1-km cells and the strata are represented as polygons registered to the AVHRR data. The linework and polygon data sets include international boundaries, Alaskan roads with the Trans-Alaska Pipeline, and a raster polygon mask of the State. 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.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 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_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 @@ -124,180 +39,12 @@ ALOS_PSR_L1.5_1 ALOS_PALSAR_LEVEL1.5 ASF STAC Catalog 2006-03-23 2011-04-22 -180 ALOS_PSR_L2.2_1 ALOS_PALSAR_LEVEL2.2 ASF STAC Catalog 2006-01-23 2011-05-23 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2011599335-ASF.umm_json ALOS PALSAR Level 2.2 proprietary ALOS_PSR_RTC_HIGH_1 ALOS_PALSAR_RTC_HIGH_RES ASF STAC Catalog 2006-03-23 2011-04-22 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1206487504-ASF.umm_json PALSAR_Radiometric_Terrain_Corrected_high_res proprietary ALOS_PSR_RTC_LOW_1 ALOS_PALSAR_RTC_LOW_RES ASF STAC Catalog 2006-03-23 2011-04-22 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1206487217-ASF.umm_json PALSAR_Radiometric_Terrain_Corrected_low_res proprietary -AM1EPHNE_6.1NRT Files containing only extrapolated orbital metadata, to be read via SDP Toolkit, Binary Format LANCEMODIS STAC Catalog 2016-01-24 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1426293893-LANCEMODIS.umm_json AM1EPHNE is the Terra Near Real Time (NRT) 2-hour spacecraft Extrapolated ephemeris data file in native format. The file name format is the following: AM1EPHNE.Ayyyyddd.hhmm.vvv.yyyydddhhmmss where from left to right: E = Extrapolated; N = Native format; A = AM1 (Terra); yyyy = data year, ddd = Julian data day, hh = data hour, mm = data minute; vvv = Version ID; yyyy = production year, ddd = Julian production day, hh = production hour, mm = production minute, and ss = production second. Data set information: http://modis.gsfc.nasa.gov/sci_team/ proprietary -AMAZE-08_1308_1 AMAZE-08 Aerosol Characterization and Meteorological Data, Central Amazon Basin: 2008 ORNL_DAAC STAC Catalog 2008-02-05 2008-04-21 -60.37, -2.76, -60.03, -2.43 https://cmr.earthdata.nasa.gov/search/concepts/C1294934680-ORNL_DAAC.umm_json This data set provides measurements from the Amazonian Aerosol Characterization Experiment (AMAZE-08) carried out during the wet season from February 4 to March 21, 2008 in the central Amazon Basin. Aerosol and atmospheric samples and measurements were collected at Tower TT34 located 60 km NNW of downtown Manaus, and at Tower K34, located 1.6 km from the TT34 site. Physical characterization of aerosols included size, mass, and number distributions and light scattering properties. Chemical characterization included mass concentrations of organics, major anions and cations, and trace metals. Aerosol sources were estimated with measurements of black carbon and biogenic particles. Meteorological and atmospheric conditions including relative humidity, temperature, wind speed and direction, rain, photosynthetically active radiation (PAR), downward and upward solar irradiance, and condensation nuclei were measured. Atmospheric trace gases and volatile organic compounds (VOCs) were sampled and analyzed. proprietary -APSF_Not provided Aerial Photo Single Frames USGS_LTA STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1220567654-USGS_LTA.umm_json The Aerial Photography Single Frame Records collection is a large and diverse group of imagery acquired by Federal organizations from 1937 to the present. Over 6.4 million frames of photographic images are available for download as medium and high resolution digital products. The high resolution data provide access to photogrammetric quality scans of aerial photographs with sufficient resolution to reveal landscape detail and to facilitate the interpretability of landscape features. Coverage is predominantly over the United States and includes portions of Central America and Puerto Rico. Individual photographs vary in scale, size, film type, quality, and coverage. proprietary -AQUARIUS_ANCILLARY_CELESTIALSKY_V1_1 Aquarius Celestial Sky Microwave Emission Map Ancillary Dataset V1.0 POCLOUD STAC Catalog 2011-09-01 2015-06-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2617176761-POCLOUD.umm_json "This datasets contains three maps of L-band (wavelength = 21 cm) brightness temperature of the celestial sky (""Galaxy"") used in the processing of the NASA Aquarius instrument data. The maps report Sky brightness temperatures in Kelvin gridded on the Earth Centered Inertial (ECI) reference frame epoch J2000. They are sampled over 721 Declinations between -90 degrees and +90 degrees and 1441 Right Ascensions between 0 degrees and 360 degrees, all evenly spaced at 0.25 degrees intervals. The brightness temperatures are assumed temporally invariant and polarization has been neglected. They include microwave continuum and atomic hydrogen line (HI) emissions. The maps differ only in how the strong radio source Cassiopeia A has been included into the whole sky background surveys: 1/ TB_no_Cas_A does not include Cassiopeia A and reports only the whole Sky surveys. 2/ TB_Cas_A_1cell spread Cas A total flux homogeneously over 1 map grid cell (i.e. 9.8572E-6 sr). 3/ TB_Cas_A_beam spreads Cas A over surrounding grid cells using a convolution by a Gaussian beam with HPBW of 35 arcmin (equivalent to the instrument used for the Sky surveys). Cassiopeia A is a supernova remnant (SNR) in the constellation Cassiopeia and the brightest extra-solar radio source in the sky at frequencies above 1." proprietary -AQUARIUS_L2_SSS_CAP_V5_5.0 Aquarius CAP Level 2 Sea Surface Salinity, Wind Speed & Direction Data V5.0 POCLOUD STAC Catalog 2011-08-26 2015-06-05 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205121315-POCLOUD.umm_json The version 5.0 Aquarius CAP Level 2 product contains the fourth release of the AQUARIUS/SAC-D orbital/swath data based on the Combined Active Passive (CAP) algorithm. CAP is a P.I. produced dataset developed and provided by JPL. This Level 2 dataset contains sea surface salinity (SSS), wind speed and wind direction data derived from 3 different radiometers and the onboard scatterometer. The CAP algorithm simultaneously retrieves the salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the previous version include: updates to the Geophysical Model Functions to 4th order harmonics with the inclusion of sea surface temperature (SST) and stability at air-sea interface effects; use of the Canadian Meteorological Center (CMC) SST product as the new source ancillary sea surface temperature data in place of NOAA OI SST. Each L2 data file covers one 98 minute orbit. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath. proprietary -AQUARIUS_L2_SSS_V5_5.0 Aquarius Official Release Level 2 Sea Surface Salinity & Wind Speed Data V5.0 POCLOUD STAC Catalog 2011-08-25 2015-06-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2036882456-POCLOUD.umm_json The version 5.0 Aquarius Level 2 product is the official third release of the orbital/swath data from AQUARIUS/SAC-D mission. The Aquarius Level 2 data set contains sea surface salinity (SSS) and wind speed data derived from 3 different radiometers and the onboard scatterometer. Included also in the Level 2 data are the horizontal and vertical brightness temperatures (TH and TV) for each radiometer, ancillary data, flags, converted telemetry and navigation data. Each data file covers one 98 minute orbit. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath. Enhancements to the version 5.0 Level 2 data relative to v4.0 include: improvement of the salinity retrieval geophysical model for SST bias, estimates of SSS uncertainties (systematic and random components), and inclusion of a new spiciness variable. proprietary -AQUARIUS_L3_ANCILLARY_SST_SMIA_28DAY-RUNNINGMEAN_V5_5.0 Aquarius Official Release Level 3 Ancillary Reynolds Sea Surface Temperature Standard Mapped Image Ascending 28-Day Running Mean Data V5.0 POCLOUD STAC Catalog 2011-08-25 2015-06-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2491755435-POCLOUD.umm_json Aquarius Level 3 ancillary sea surface temperature (SST) standard mapped image data are the ancillary SST data used in the Aquarius calibration for salinity retrieval. They are simply the daily SSTs from the Reynolds National Climatic Data Center (NCDC) 0.25 degree dataset, gridded and averaged using the Aquarius processing L2-L3 processing scheme to the same 1 degree spatial resolution and daily, 7 day, monthly, 7-Day, and annual time intervals as Aquarius L3 standard salinity and wind speed products. This particular data set is the 28-Day running mean, ascending ancillary sea surface temperature product associated with version 5.0 of the Aquarius data set, which is the official end of mission public data release from the AQUARIUS/SAC-D mission. proprietary -AQUARIUS_L3_ANCILLARY_SST_SMIA_7DAY_V5_5.0 Aquarius Official Release Level 3 Ancillary Reynolds Sea Surface Temperature Standard Mapped Image Ascending 7-Day Data V5.0 POCLOUD STAC Catalog 2011-08-25 2015-06-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2491755454-POCLOUD.umm_json Aquarius Level 3 ancillary sea surface temperature (SST) standard mapped image data are the ancillary SST data used in the Aquarius calibration for salinity retrieval. They are simply the daily SSTs from the Reynolds National Climatic Data Center (NCDC) 0.25 degree dataset, gridded and averaged using the Aquarius processing L2-L3 processing scheme to the same 1 degree spatial resolution and daily, 7 day, monthly, 7-Day, and annual time intervals as Aquarius L3 standard salinity and wind speed products. This particular data set is the 7-Day, ascending ancillary sea surface temperature product associated with version 5.0 of the Aquarius data set, which is the official end of mission public data release from the AQUARIUS/SAC-D mission. proprietary -AQUARIUS_L3_ANCILLARY_SST_SMIA_ANNUAL_V5_5.0 Aquarius Official Release Level 3 Ancillary Reynolds Sea Surface Temperature Standard Mapped Image Ascending Annual Data V5.0 POCLOUD STAC Catalog 2011-08-25 2015-06-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2491755465-POCLOUD.umm_json Aquarius Level 3 ancillary sea surface temperature (SST) standard mapped image data are the ancillary SST data used in the Aquarius calibration for salinity retrieval. They are simply the daily SSTs from the Reynolds National Climatic Data Center (NCDC) 0.25 degree dataset, gridded and averaged using the Aquarius processing L2-L3 processing scheme to the same 1 degree spatial resolution and daily, 7 day, monthly, Annual, and annual time intervals as Aquarius L3 standard salinity and wind speed products. This particular data set is the Annual, ascending ancillary sea surface temperature product associated with version 5.0 of the Aquarius data set, which is the official end of mission public data release from the AQUARIUS/SAC-D mission. proprietary -AQUARIUS_L3_ANCILLARY_SST_SMIA_CUMULATIVE_V5_5.0 Aquarius Official Release Level 3 Ancillary Reynolds Sea Surface Temperature Standard Mapped Image Ascending Mission Cumulative Data V5.0 POCLOUD STAC Catalog 2011-08-25 2015-06-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2491755483-POCLOUD.umm_json Aquarius Level 3 ancillary sea surface temperature (SST) standard mapped image data are the ancillary SST data used in the Aquarius calibration for salinity retrieval. They are simply the daily SSTs from the Reynolds National Climatic Data Center (NCDC) 0.25 degree dataset, gridded and averaged using the Aquarius processing L2-L3 processing scheme to the same 1 degree spatial resolution and daily, 7 day, monthly, seasonal, and annual time intervals as Aquarius L3 standard salinity and wind speed products. This particular data set is the mission series mean or cumulative, ascending ancillary sea surface temperature product associated with version 5.0 of the Aquarius data set. proprietary -AQUARIUS_L3_ANCILLARY_SST_SMIA_DAILY_V5_5.0 Aquarius Official Release Level 3 Ancillary Reynolds Sea Surface Temperature Standard Mapped Image Ascending Daily Data V5.0 POCLOUD STAC Catalog 2011-08-25 2015-06-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2491755495-POCLOUD.umm_json Aquarius Level 3 ancillary sea surface temperature (SST) standard mapped image data are the ancillary SST data used in the Aquarius calibration for salinity retrieval. They are simply the daily SSTs from the Reynolds National Climatic Data Center (NCDC) 0.25 degree dataset, gridded and averaged using the Aquarius processing L2-L3 processing scheme to the same 1 degree spatial resolution and daily, 7 day, monthly, Daily, and Daily time intervals as Aquarius L3 standard salinity and wind speed products. This particular data set is the Daily, ascending ancillary sea surface temperature product associated with version 5.0 of the Aquarius data set, which is the official end of mission public data release from the AQUARIUS/SAC-D mission. proprietary -AQUARIUS_L3_ANCILLARY_SST_SMIA_MONTHLY-CLIMATOLOGY_V5_5.0 Aquarius Official Release Level 3 Ancillary Reynolds Sea Surface Temperature Standard Mapped Image Ascending Monthly Climatology Data V5.0 POCLOUD STAC Catalog 2011-08-25 2015-06-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2491755532-POCLOUD.umm_json Aquarius Level 3 ancillary sea surface temperature (SST) standard mapped image data are the ancillary SST data used in the Aquarius calibration for salinity retrieval. They are simply the daily SSTs from the Reynolds National Climatic Data Center (NCDC) 0.25 degree dataset, gridded and averaged using the Aquarius processing L2-L3 processing scheme to the same 1 degree spatial resolution and daily, 7 day, monthly, seasonal, and annual time intervals as Aquarius L3 standard salinity and wind speed products. This particular data set is the monthly climatology ascending ancillary sea surface temperature product associated with version 5.0 of the Aquarius data set, which is the official end of mission public data release from the AQUARIUS/SAC-D mission. proprietary -AQUARIUS_L3_ANCILLARY_SST_SMI_28DAY-RUNNINGMEAN_V5_5.0 Aquarius Official Release Level 3 Ancillary Reynolds Sea Surface Temperature Standard Mapped Image 28-Day Running Mean Data V5.0 POCLOUD STAC Catalog 2011-08-25 2015-06-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2491742792-POCLOUD.umm_json Aquarius Level 3 ancillary sea surface temperature (SST) standard mapped image data are the ancillary SST data used in the Aquarius calibration for salinity retrieval. They are simply the daily SSTs from the Reynolds National Climatic Data Center (NCDC) 0.25 degree dataset, gridded and averaged using the Aquarius processing L2-L3 processing scheme to the same 1 degree spatial resolution and daily, 7 day, monthly, 7-Day, and annual time intervals as Aquarius L3 standard salinity and wind speed products. This particular data set is the 28-Day running mean, ancillary sea surface temperature product associated with version 5.0 of the Aquarius data set, which is the official end of mission public data release from the AQUARIUS/SAC-D mission. proprietary -AQUARIUS_L3_ANCILLARY_SST_SMI_7DAY-RUNNINGMEAN_V5_5.0 Aquarius Official Release Level 3 Ancillary Reynolds Sea Surface Temperature Standard Mapped Image 7-Day Running Mean Data V5.0 POCLOUD STAC Catalog 2011-08-25 2015-06-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2491742849-POCLOUD.umm_json Aquarius Level 3 ancillary sea surface temperature (SST) standard mapped image data are the ancillary SST data used in the Aquarius calibration for salinity retrieval. They are simply the daily SSTs from the Reynolds National Climatic Data Center (NCDC) 0.25 degree dataset, gridded and averaged using the Aquarius processing L2-L3 processing scheme to the same 1 degree spatial resolution and daily, 7 day, monthly, seasonal, and annual time intervals as Aquarius L3 standard salinity and wind speed products. This particular data set is the 7-Day running mean ancillary sea surface temperature product associated with version 5.0 of the Aquarius data set, which is the official end of mission public data release from the AQUARIUS/SAC-D mission. proprietary -AQUARIUS_L3_ANCILLARY_SST_SMI_7DAY_V5_5.0 Aquarius Official Release Level 3 Ancillary Reynolds Sea Surface Temperature Standard Mapped Image 7-Day Data V5.0 POCLOUD STAC Catalog 2011-08-25 2015-06-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2491742832-POCLOUD.umm_json Aquarius Level 3 ancillary sea surface temperature (SST) standard mapped image data are the ancillary SST data used in the Aquarius calibration for salinity retrieval. They are simply the daily SSTs from the Reynolds National Climatic Data Center (NCDC) 0.25 degree dataset, gridded and averaged using the Aquarius processing L2-L3 processing scheme to the same 1 degree spatial resolution and daily, 7 day, monthly, 7-Day, and annual time intervals as Aquarius L3 standard salinity and wind speed products. This particular data set is the 7-Day ancillary sea surface temperature product associated with version 5.0 of the Aquarius data set, which is the official end of mission public data release from the AQUARIUS/SAC-D mission. proprietary -AQUARIUS_L3_ANCILLARY_SST_SMI_ANNUAL_V5_5.0 Aquarius Official Release Level 3 Ancillary Reynolds Sea Surface Temperature Standard Mapped Image Annual Data V5.0 POCLOUD STAC Catalog 2011-08-25 2015-06-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2491742866-POCLOUD.umm_json Aquarius Level 3 ancillary sea surface temperature (SST) standard mapped image data are the ancillary SST data used in the Aquarius calibration for salinity retrieval. They are simply the daily SSTs from the Reynolds National Climatic Data Center (NCDC) 0.25 degree dataset, gridded and averaged using the Aquarius processing L2-L3 processing scheme to the same 1 degree spatial resolution and daily, 7 day, monthly, Annual, and annual time intervals as Aquarius L3 standard salinity and wind speed products. This particular data set is the Annual ancillary sea surface temperature product associated with version 5.0 of the Aquarius data set, which is the official end of mission public data release from the AQUARIUS/SAC-D mission. proprietary -AQUARIUS_L3_SSS_CAP_7DAY_V5_5.0 Aquarius CAP Level 3 Sea Surface Salinity Standard Mapped Image 7-Day Data V5.0 POCLOUD STAC Catalog 2011-08-26 2015-06-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2491756349-POCLOUD.umm_json Version 5.0 Aquarius CAP Level 3 products are the fourth release of the AQUARIUS/SAC-D mapped salinity and wind speed data based on the Combined Active Passive (CAP) algorithm. Level 3 standard mapped image products contain gridded 1 degree spatial resolution salinity and wind speed data averaged over 7 day and monthly time scales. This particular dataset is the 7-Day running mean sea surface salinity (SSS) V5.0 Aquarius CAP product. CAP is a P.I. produced dataset developed and provided by JPL. The CAP algorithm utilizes data from both the onboard radiometer and scatterometer to simultaneously retrieve salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the previous version include: updates to the Geophysical Model Functions to 4th order harmonics with the inclusion of sea surface temperature (SST) and stability at air-sea interface effects; use of the Canadian Meteorological Center (CMC) SST product as the new source ancillary sea surface temperature data in place of NOAA OI SST. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath. proprietary -AQUARIUS_L3_SSS_CAP_MONTHLY_V5_5.0 Aquarius CAP Level 3 Sea Surface Salinity Standard Mapped Image Monthly Data V5.0 POCLOUD STAC Catalog 2011-09-01 2015-06-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2491756350-POCLOUD.umm_json Version 5.0 Aquarius CAP Level 3 products are the fourth release of the AQUARIUS/SAC-D mapped salinity and wind speed data based on the Combined Active Passive (CAP) algorithm. CAP Level 3 standard mapped image products contain gridded 1 degree spatial resolution salinity and wind speed data averaged over 7 day and monthly time scales. This particular dataset is the monthly sea surface salinity (SSS) V5.0 Aquarius CAP product. CAP is a P.I. produced dataset developed and provided by JPL. The CAP algorithm utilizes data from both the onboard radiometer and scatterometer to simultaneously retrieve salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the previous version include: updates to the Geophysical Model Functions to 4th order harmonics with the inclusion of sea surface temperature (SST) and stability at air-sea interface effects; use of the Canadian Meteorological Center (CMC) SST product as the new source ancillary sea surface temperature data in place of NOAA OI SST. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath. proprietary -AQUARIUS_L3_SSS_RAINCORRECTED_CAP_7DAY_V5_5.0 Aquarius CAP Level 3 Sea Surface Salinity Rain Corrected Standard Mapped Image 7-Day Data V5.0 POCLOUD STAC Catalog 2011-08-26 2015-06-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2491756351-POCLOUD.umm_json Version 5.0 Aquarius CAP Level 3 products are the fourth release of the AQUARIUS/SAC-D mapped salinity and wind speed data based on the Combined Active Passive (CAP) algorithm. CAP Level 3 standard mapped image products contain gridded 1 degree spatial resolution salinity and wind speed data averaged over 7 day and monthly time scales. This particular dataset is the 7-Day running mean sea surface salinity (SSS) rain corrected V5.0 Aquarius CAP product. CAP is a P.I. produced dataset developed and provided by JPL. The CAP algorithm utilizes data from both the onboard radiometer and scatterometer to simultaneously retrieve salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the previous version include: updates to the Geophysical Model Functions to 4th order harmonics with the inclusion of sea surface temperature (SST) and stability at air-sea interface effects; use of the Canadian Meteorological Center (CMC) SST product as the new source ancillary sea surface temperature data in place of NOAA OI SST. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath. proprietary -AQUARIUS_L3_SSS_RAINCORRECTED_CAP_MONTHLY_V5_5.0 Aquarius CAP Level 3 Sea Surface Salinity Rain Corrected Standard Mapped Image Monthly Data V5.0 POCLOUD STAC Catalog 2011-09-01 2015-06-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2491756352-POCLOUD.umm_json Version 5.0 Aquarius CAP Level 3 products are the fourth release of the AQUARIUS/SAC-D mapped salinity and wind speed data based on the Combined Active Passive (CAP) algorithm. CAP Level 3 standard mapped image products contain gridded 1 degree spatial resolution salinity and wind speed data averaged over 7 day and monthly time scales. This particular dataset is the monthly sea surface salinity (SSS) rain corrected V5.0 Aquarius CAP product. CAP is a P.I. produced dataset developed and provided by JPL. The CAP algorithm utilizes data from both the onboard radiometer and scatterometer to simultaneously retrieve salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the previous version include: updates to the Geophysical Model Functions to 4th order harmonics with the inclusion of sea surface temperature (SST) and stability at air-sea interface effects; use of the Canadian Meteorological Center (CMC) SST product as the new source ancillary sea surface temperature data in place of NOAA OI SST. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath. proprietary -AQUARIUS_L3_WIND_SPEED_CAP_7DAY_V5_5.0 Aquarius CAP Level 3 Wind Speed Standard Mapped Image 7-Day Data V5.0 POCLOUD STAC Catalog 2011-08-26 2015-06-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2491757161-POCLOUD.umm_json Version 5.0 Aquarius CAP Level 3 products are the fourth release of the AQUARIUS/SAC-D mapped salinity and wind speed data based on the Combined Active Passive (CAP) algorithm. CAP Level 3 standard mapped image products contain gridded 1 degree spatial resolution salinity and wind speed data averaged over 7 day and monthly time scales. This particular dataset is the 7-Day running mean wind speed V5.0 Aquarius CAP product. CAP is a P.I. produced dataset developed and provided by JPL. The CAP algorithm utilizes data from both the onboard radiometer and scatterometer to simultaneously retrieve salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the previous version include: updates to the Geophysical Model Functions to 4th order harmonics with the inclusion of sea surface temperature (SST) and stability at air-sea interface effects; use of the Canadian Meteorological Center (CMC) SST product as the new source ancillary sea surface temperature data in place of NOAA OI SST. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath. proprietary -AQUARIUS_L3_WIND_SPEED_CAP_MONTHLY_V5_5.0 Aquarius CAP Level 3 Wind Speed Standard Mapped Image Monthly Data V5.0 POCLOUD STAC Catalog 2011-09-01 2015-06-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2491757162-POCLOUD.umm_json Version 5.0 Aquarius CAP Level 3 products are the fourth release of the AQUARIUS/SAC-D mapped salinity and wind speed data based on the Combined Active Passive (CAP) algorithm. CAP Level 3 standard mapped image products contain gridded 1 degree spatial resolution salinity and wind speed data averaged over 7 day and monthly time scales. This particular dataset is the monthly wind speed V5.0 Aquarius CAP product. CAP is a P.I. produced dataset developed and provided by JPL. The CAP algorithm utilizes data from both the onboard radiometer and scatterometer to simultaneously retrieve salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the previous version include: updates to the Geophysical Model Functions to 4th order harmonics with the inclusion of sea surface temperature (SST) and stability at air-sea interface effects; use of the Canadian Meteorological Center (CMC) SST product as the new source ancillary sea surface temperature data in place of NOAA OI SST. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath. proprietary -AST14DEM_003 ASTER Digital Elevation Model V003 LPDAAC_ECS STAC Catalog 2000-03-06 -180, -83, 180, 83 https://cmr.earthdata.nasa.gov/search/concepts/C1299783579-LPDAAC_ECS.umm_json The ASTER Digital Elevation Model (AST14DEM) product is generated (https://lpdaac.usgs.gov/documents/996/ASTER_Earthdata_Search_Order_Instructions.pdf) using bands 3N (nadir-viewing) and 3B (backward-viewing) of an (ASTER Level 1A) (https://doi.org/10.5067/ASTER/AST_L1A.003) image acquired by the Visible and Near Infrared (VNIR) sensor. The VNIR subsystem includes two independent telescope assemblies that facilitate the generation of stereoscopic data. The band 3 stereo pair is acquired in the spectral range of 0.78 and 0.86 microns with a base-to-height ratio of 0.6 and an intersection angle of 27.7 degrees. There is a time lag of approximately one minute between the acquisition of the nadir and backward images. For a better understanding, refer to this (diagram) (https://lpdaac.usgs.gov/documents/301/ASTER_Along_Track_Imaging_Geometry.png) depicting the along-track imaging geometry of the ASTER VNIR nadir and backward-viewing sensors. The accuracy of the new LP DAAC produced DEMs will meet or exceed accuracy specifications set for the ASTER relative DEMs by the Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/81/AST14_ATBD.pdf). Users likely will find that the DEMs produced by the new LP DAAC system have accuracies approaching those specified in the ATBD for absolute DEMs. Validation testing has shown that DEMs produced by the new system frequently are more accurate than 25 meters root mean square error (RMSE) in xyz dimensions. Improvements/Changes from Previous Versions As of January 2021, the LP DAAC has implemented version 3.0 of the Sensor Information Laboratory Corporation ASTER DEM/Ortho (SILCAST) software, which is used to generate the Level 2 on-demand ASTER Orthorectified and Digital Elevation Model (DEM) products (AST14). The updated software provides digital elevation extraction and orthorectification from ASTER L1B input data without needing to enter ground control points or depending on external global DEMs at 30-arc-second resolution (GTOPO30). It utilizes the ephemeris and attitude data derived from both the ASTER instrument and the Terra spacecraft platform. The outputs are geoid height-corrected and waterbodies are automatically detected in this version. Users will notice differences between AST14DEM, AST14DMO, and AST14OTH products ordered before January 2021 (generated with SILCAST V1) and those generated with the updated version of the production software (version 3.0). Differences may include slight elevation changes over different surface types, including waterbodies. Differences have also been observed over cloudy portions of ASTER scenes. Additional information on SILCAST version 3.0 can be found on the SILCAST website (http://www.silc.co.jp/en/products.html). Starting June 23, 2021, radiometric calibration coefficient Version 5 (RCC V5) will be applied to newly observed ASTER data and archived ASTER data products. Details regarding RCC V5 are described in the following journal article. Tsuchida, S., Yamamoto, H., Kouyama, T., Obata, K., Sakuma, F., Tachikawa, T., Kamei, A., Arai, K., Czapla-Myers, J.S., Biggar, S.F., and Thome, K.J., 2020, Radiometric Degradation Curves for the ASTER VNIR Processing Using Vicarious and Lunar Calibrations: Remote Sensing, v. 12, no. 3, at https://doi.org/10.3390/rs12030427. proprietary -ASTGTM_003 ASTER Global Digital Elevation Model V003 LPCLOUD STAC Catalog 2000-03-01 2013-11-30 -180, -83, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1711961296-LPCLOUD.umm_json The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator). The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A (https://doi.org/10.5067/ASTER/AST_L1A.003) archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1 degree latitude by 1 degree longitude tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) (https://doi.org/10.5067/ASTER/ASTWBD.001) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in GeoTIFF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. Provided in the ASTER GDEM product are layers for DEM and number of scenes (NUM). The NUM layer indicates the number of scenes that were processed for each pixel and the source of the data. While the ASTER GDEM Version 3 data products offer substantial improvements over Version 2, users are advised that the products still may contain anomalies and artifacts that will reduce its usability for certain applications. Improvements/Changes from Previous Versions • Expansion of acquisition coverage to increase the amount of cloud-free input scenes from about 1.5 million in Version 2 to about 1.88 million scenes in Version 3. • Separation of rivers from lakes in the water body processing. • Minimum water body detection size decreased from 1 km2 to 0.2 km2. proprietary -ASTGTM_NC_003 ASTER Global Digital Elevation Model NetCDF V003 LPCLOUD STAC Catalog 2000-03-01 2013-11-30 -180, -83, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C2439422590-LPCLOUD.umm_json The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator). The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A (https://doi.org/10.5067/ASTER/AST_L1A.003) archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1 degree latitude by 1 degree longitude tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) (https://doi.org/10.5067/ASTER/ASTWBD.001) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in NetCDF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. Each ASTGTM_NC data product contains a DEM file, which provides elevation information. The corresponding ASTGTM_NUMNC file indicates the number of scenes that were processed for each pixel and the source of the data. While the ASTER GDEM Version 3 data products offer substantial improvements over Version 2, users are advised that the products still may contain anomalies and artifacts that will reduce its usability for certain applications. Improvements/Changes from Previous Versions • Expansion of acquisition coverage to increase the amount of cloud-free input scenes from about 1.5 million in Version 2 to about 1.88 million scenes in Version 3. • Separation of rivers from lakes in the water body processing. • Minimum water body detection size decreased from 1 km2 to 0.2 km2. proprietary -ASTGTM_NUMNC_003 ASTER Global Digital Elevation Model Attributes NetCDF V003 LPCLOUD STAC Catalog 2000-03-01 2013-11-30 -180, -83, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C2439429778-LPCLOUD.umm_json The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator). The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A (https://doi.org/10.5067/ASTER/AST_L1A.003) archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1 degree latitude by 1 degree longitude tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) (https://doi.org/10.5067/ASTER/ASTWBD.001) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in NetCDF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. Each ASTGTM_NUMNC file indicates the number of scenes that were processed for each pixel and the source of the data.. The corresponding ASTGTM_NC data product contains a DEM file, which provides elevation information. While the ASTER GDEM Version 3 data products offer substantial improvements over Version 2, users are advised that the products still may contain anomalies and artifacts that will reduce its usability for certain applications. Improvements/Changes from Previous Versions • Expansion of acquisition coverage to increase the amount of cloud-free input scenes from about 1.5 million in Version 2 to about 1.88 million scenes in Version 3. • Separation of rivers from lakes in the water body processing. • Minimum water body detection size decreased from 1 km2 to 0.2 km2. proprietary -ASTWBD_001 ASTER Global Water Bodies Database V001 LPDAAC_ECS STAC Catalog 2000-03-01 2013-11-30 -180, -83, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1575734433-LPDAAC_ECS.umm_json The ASTER Global Water Bodies Database (ASTWBD) Version 1 data product provides global coverage of water bodies larger than 0.2 square kilometers at a spatial resolution of 1 arc second (approximately 30 meters) at the equator, along with associated elevation information. The ASTWBD data product was created in conjunction with the ASTER Global Digital Elevation Model (ASTER GDEM) Version 3 data product by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was generated using ASTER Level 1A (https://doi.org/10.5067/ASTER/AST_L1A.003) scenes acquired between March 1, 2000, and November 30, 2013. The ASTWBD data product was then generated to correct elevation values of water body surfaces. To generate the ASTWBD data product, water bodies were separated from land areas and then classified into three categories: ocean, river, or lake. Oceans and lakes have a flattened, constant elevation value. The effects of sea ice were manually removed from areas classified as oceans to better delineate ocean shorelines in high latitude areas. For lake waterbodies, the elevation for each lake was calculated from the perimeter elevation data using the mosaic image that covers the entire area of the lake. Rivers presented a unique challenge given that their elevations gradually step down from upstream to downstream; therefore, visual inspection and other manual detection methods were required. The geographic coverage of the ASTWBD extends from 83°N to 83°S. Each tile is distributed in GeoTIFF format and referenced to the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each data product is provided as a zipped file that contains an attribute file with the water body classification information and a DEM file, which provides elevation information in meters. proprietary -ASTWBD_ATTNC_001 ASTER Global Water Bodies Database Attributes NetCDF V001 LPDAAC_ECS STAC Catalog 2000-03-01 2013-11-30 -180, -83, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1575734760-LPDAAC_ECS.umm_json The ASTER Global Water Bodies Database (ASTWBD) Version 1 data product provides global coverage of water bodies larger than 0.2 square kilometers at a spatial resolution of 1 arc second (approximately 30 meters) at the equator, along with associated elevation information. The ASTWBD data product was created in conjunction with the ASTER Global Digital Elevation Model (ASTER GDEM) Version 3 data product by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was generated using ASTER Level 1A (https://doi.org/10.5067/ASTER/AST_L1A.003) scenes acquired between March 1, 2000, and November 30, 2013. The ASTWBD data product was then generated to correct elevation values of water body surfaces. To generate the ASTWBD data product, water bodies were separated from land areas and then classified into three categories: ocean, river, or lake. Oceans and lakes have a flattened, constant elevation value. The effects of sea ice were manually removed from areas classified as oceans to better delineate ocean shorelines in high latitude areas. For lake waterbodies, the elevation for each lake was calculated from the perimeter elevation data using the mosaic image that covers the entire area of the lake. Rivers presented a unique challenge given that their elevations gradually step down from upstream to downstream; therefore, visual inspection and other manual detection methods were required. The geographic coverage of the ASTWBD extends from 83°N to 83°S. Each tile is distributed in NetCDF format and referenced to the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each ASTWBD_ATTNC file contains an attribute file with the water body classification information. The corresponding ASTWBD_NC data product DEM file, which provides elevation information in meters. proprietary -ASTWBD_NC_001 ASTER Global Water Bodies Database NetCDF V001 LPDAAC_ECS STAC Catalog 2000-03-01 2013-11-30 -180, -83, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1575734501-LPDAAC_ECS.umm_json The ASTER Global Water Bodies Database (ASTWBD) Version 1 data product provides global coverage of water bodies larger than 0.2 square kilometers at a spatial resolution of 1 arc second (approximately 30 meters) at the equator, along with associated elevation information. The ASTWBD data product was created in conjunction with the ASTER Global Digital Elevation Model (ASTER GDEM) Version 3 data product by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was generated using ASTER Level 1A (https://doi.org/10.5067/ASTER/AST_L1A.003) scenes acquired between March 1, 2000, and November 30, 2013. The ASTWBD data product was then generated to correct elevation values of water body surfaces. To generate the ASTWBD data product, water bodies were separated from land areas and then classified into three categories: ocean, river, or lake. Oceans and lakes have a flattened, constant elevation value. The effects of sea ice were manually removed from areas classified as oceans to better delineate ocean shorelines in high latitude areas. For lake waterbodies, the elevation for each lake was calculated from the perimeter elevation data using the mosaic image that covers the entire area of the lake. Rivers presented a unique challenge given that their elevations gradually step down from upstream to downstream; therefore, visual inspection and other manual detection methods were required. The geographic coverage of the ASTWBD extends from 83°N to 83°S. Each tile is distributed in NetCDF format and referenced to the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each ASTWBD_NC data product DEM file, which provides elevation information in meters. The corresponding ASTWBD_ATTNC file contains an attribute file with the water body classification information. proprietary -AST_05_003 ASTER L2 Surface Emissivity V003 LPDAAC_ECS STAC Catalog 2000-03-04 -180, -83, 180, 83 https://cmr.earthdata.nasa.gov/search/concepts/C1299783607-LPDAAC_ECS.umm_json "The ASTER L2 Surface Emissivity is an on-demand product ((https://lpdaac.usgs.gov/documents/996/ASTER_Earthdata_Search_Order_Instructions.pdf)) generated using the five thermal infrared (TIR) bands (acquired either during the day or night time) between 8 and 12 µm spectral range. It contains surface emissivity over the land at 90 meters spatial resolution. Estimates of surface emissivity were thus far only derived using surrogates such as land-cover type or vegetation index. The Temperature/Emissivity Separation (TES) algorithm is used to derive both E (emissivity) and T (surface temperature). The main goals of the TES algorithm include: recovering accurate and precise emissivities for mineral substrates, and estimating accurate and precise surface temperatures especially over vegetation, water and snow.The TES algorithm is executed in the ASTER processing chain following generation of ASTER Level-2 Surface Radiance (TIR). The land-leaving radiance and down-welling irradiance vectors for each pixel are taken in account. Emissivity is estimated using the Normalized Emissivity Method (NEM), and is iteratively compensated for reflected sunlight. The emissivity spectrum is normalized using the average emissivity of each pixel. The minimum-maximum difference (MMD) of the normalized spectrum is calculated and estimates of the minimum emissivity derived through regression analysis. These estimates are used to scale the normalized emissivity and compensate for reflected skylight with the derived refinement of emissivity. ASTER Level 2 data requests for observations that occurred after May 27, 2020 will resort back to using the climatology ozone input. Additional information can be found in the ASTER L2 Processing Options Update (https://lpdaac.usgs.gov/news/aster-l2-processing-options-update/). V003 data set release date: 2002-05-03 Starting June 23, 2021, radiometric calibration coefficient Version 5 (RCC V5) will be applied to newly observed ASTER data and archived ASTER data products. Details regarding RCC V5 are described in the following journal article. Tsuchida, S., Yamamoto, H., Kouyama, T., Obata, K., Sakuma, F., Tachikawa, T., Kamei, A., Arai, K., Czapla-Myers, J.S., Biggar, S.F., and Thome, K.J., 2020, Radiometric Degradation Curves for the ASTER VNIR Processing Using Vicarious and Lunar Calibrations: Remote Sensing, v. 12, no. 3, at https://doi.org/10.3390/rs12030427. As of December 15, 2021, the LP DAAC has implemented changes to ASTER PGE Version 3.4, which will affect all ASTER Level 2 on-demand products. Changes include: • Aura Ozone Monitoring Instrument (OMI) has been added as one of the ancillary ozone inputs for any observations made after May 27, 2020. The sequence of fallbacks for ozone will remain the same. • Toolkit has been updated from Version 5.2.17 to 5.2.20. Users may notice minor differences between the two versions. Differences may include minuscule changes in digital numbers around the peripheral of the granule and boundaries of a cloud for Surface Reflectance and Surface Radiance (AST07 and AST09) QA Data Plane depending on the Operating System and libraries being used by the user to process the data. Additionally, Climatology, which is one of the inputs for Ozone and Moisture, Temperature and Pressures (MTP) will be removed from the Earthdata Order Form. It has been observed that PGEs generated with Climatology as an input yield noticeable differences statistically during image and spectral analysis. Climatology will continue to be used as the final default if neither of the first two selectable options are available for Ozone and MTP. Users can check the OPERATIONALQUALITYFLAGEXPLANATION field in the metadata or the output file for atmospheric parameters that were applied " proprietary -AST_07XT_003 ASTER L2 Surface Reflectance VNIR and Crosstalk Corrected SWIR V003 LPDAAC_ECS STAC Catalog 2000-03-06 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1299783608-LPDAAC_ECS.umm_json "The ASTER Surface Reflectance VNIR and Crosstalk Corrected SWIR (AST_07XT) dataset (https://lpdaac.usgs.gov/documents/996/ASTER_Earthdata_Search_Order_Instructions.pdf) contains measures of the fraction of incoming solar radiation reflected from the Earth’s surface to the ASTER instrument corrected for atmospheric effects and viewing geometry for both the Visible and Near Infrared (VNIR) and Shortwave Infrared (SWIR) sensors. Each product delivery includes two Hierarchical Data Format - Earth Observing System (HDF-EOS) files: one for the VNIR, and the other for the SWIR. They are distinguished from one another by a one-second difference in the production time that appears as part of the file name. Both the VNIR and SWIR data are atmospherically corrected and are generated using the bands of the corresponding (ASTER L1B) (https://doi.org/10.5067/ASTER/AST_L1B.003) image. AST_07XT is a multi-file product that contains atmospherically corrected data for both the VNIR and SWIR sensors. The crosstalk corrected product no longer displays blurred images initiated by stray light that caused multiple reflections with the SWIR bands. ASTER Level 2 data requests for observations that occurred after May 27, 2020 will resort back to using the climatology ozone input. Additional information can be found in the ASTER L2 Processing Options Update (https://lpdaac.usgs.gov/news/aster-l2-processing-options-update/). Starting June 23, 2021, radiometric calibration coefficient Version 5 (RCC V5) will be applied to newly observed ASTER data and archived ASTER data products. Details regarding RCC V5 are described in the following journal article. Tsuchida, S., Yamamoto, H., Kouyama, T., Obata, K., Sakuma, F., Tachikawa, T., Kamei, A., Arai, K., Czapla-Myers, J.S., Biggar, S.F., and Thome, K.J., 2020, Radiometric Degradation Curves for the ASTER VNIR Processing Using Vicarious and Lunar Calibrations: Remote Sensing, v. 12, no. 3, at https://doi.org/10.3390/rs12030427. As of December 15, 2021, the LP DAAC has implemented changes to ASTER PGE Version 3.4, which will affect all ASTER Level 2 on-demand products. Changes include: • Aura Ozone Monitoring Instrument (OMI) has been added as one of the ancillary ozone inputs for any observations made after May 27, 2020. The sequence of fallbacks for ozone will remain the same. • Toolkit has been updated from Version 5.2.17 to 5.2.20. Users may notice minor differences between the two versions. Differences may include minuscule changes in digital numbers around the peripheral of the granule and boundaries of a cloud for Surface Reflectance and Surface Radiance (AST07 and AST09) QA Data Plane depending on the Operating System and libraries being used by the user to process the data. Additionally, Climatology, which is one of the inputs for Ozone and Moisture, Temperature and Pressures (MTP) will be removed from the Earthdata Order Form. It has been observed that PGEs generated with Climatology as an input yield noticeable differences statistically during image and spectral analysis. Climatology will continue to be used as the final default if neither of the first two selectable options are available for Ozone and MTP. Users can check the OPERATIONALQUALITYFLAGEXPLANATION field in the metadata or the output file for atmospheric parameters that were applied " proprietary -AST_07_003 ASTER L2 Surface Reflectance SWIR and ASTER L2 Surface Reflectance VNIR V003 LPDAAC_ECS STAC Catalog 2000-03-06 -180, -83, 180, 83 https://cmr.earthdata.nasa.gov/search/concepts/C1299783800-LPDAAC_ECS.umm_json "The ASTER Surface Reflectance VNIR and SWIR (AST_07) data product (https://lpdaac.usgs.gov/documents/996/ASTER_Earthdata_Search_Order_Instructions.pdf) contains measures of the fraction of incoming solar radiation reflected from the Earth’s surface to the ASTER instrument corrected for atmospheric effects and viewing geometry for both the Visible and Near Infrared (VNIR) and Shortwave Infrared (SWIR) sensors. Each product delivery includes two Hierarchical Data Format - Earth Observing System (HDF-EOS) files: one for the VNIR, and the other for the SWIR. They are distinguished from one another by a one-second difference in the production time that appears as part of the file name. ASTER Level 2 data requests for observations that occurred after May 27, 2020 will resort back to using the climatology ozone input. Additional information can be found in the ASTER L2 Processing Options Update (https://lpdaac.usgs.gov/news/aster-l2-processing-options-update/). Starting June 23, 2021, radiometric calibration coefficient Version 5 (RCC V5) will be applied to newly observed ASTER data and archived ASTER data products. Details regarding RCC V5 are described in the following journal article. Tsuchida, S., Yamamoto, H., Kouyama, T., Obata, K., Sakuma, F., Tachikawa, T., Kamei, A., Arai, K., Czapla-Myers, J.S., Biggar, S.F., and Thome, K.J., 2020, Radiometric Degradation Curves for the ASTER VNIR Processing Using Vicarious and Lunar Calibrations: Remote Sensing, v. 12, no. 3, at https://doi.org/10.3390/rs12030427. As of December 15, 2021, the LP DAAC has implemented changes to ASTER PGE Version 3.4, which will affect all ASTER Level 2 on-demand products. Changes include: • Aura Ozone Monitoring Instrument (OMI) has been added as one of the ancillary ozone inputs for any observations made after May 27, 2020. The sequence of fallbacks for ozone will remain the same. • Toolkit has been updated from Version 5.2.17 to 5.2.20. Users may notice minor differences between the two versions. Differences may include minuscule changes in digital numbers around the peripheral of the granule and boundaries of a cloud for Surface Reflectance and Surface Radiance (AST07 and AST09) QA Data Plane depending on the Operating System and libraries being used by the user to process the data. Additionally, Climatology, which is one of the inputs for Ozone and Moisture, Temperature and Pressures (MTP) will be removed from the Earthdata Order Form. It has been observed that PGEs generated with Climatology as an input yield noticeable differences statistically during image and spectral analysis. Climatology will continue to be used as the final default if neither of the first two selectable options are available for Ozone and MTP. Users can check the OPERATIONALQUALITYFLAGEXPLANATION field in the metadata or the output file for atmospheric parameters that were applied " proprietary -AST_08_003 ASTER L2 Surface Temperature V003 LPDAAC_ECS STAC Catalog 2000-03-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1299783630-LPDAAC_ECS.umm_json "The ASTER Surface Kinetic Temperature (AST_08) is generated (https://lpdaac.usgs.gov/documents/996/ASTER_Earthdata_Search_Order_Instructions.pdf) using the five Thermal Infrared (TIR) bands (acquired either during the day or night time) between 8 and 12 µm spectral range. It contains surface temperatures at 90 m spatial resolution for the land areas only. Surface kinetic temperature provides a vital input to studies of volcanism, thermal inertia, surface energy, and high-resolution mapping of fires. This product is derived using the same algorithm as the ASTER Surface Emissivity (AST_05) (https://doi.org/10.5067/ASTER/AST_05.003) Product. Surface kinetic temperature is determined by applying Planck's Law using the emissivity values from the Temperature/Emissivity Separation (TES) algorithm, which uses atmospherically corrected ASTER surface radiance (TIR) data. The TES algorithm first estimates emissivity in the TIR channels using the Normalized Emissivity Method (NEM). These estimates are used along with Kirchoff's Law to account for the land-leaving TIR radiance that is due to sky irradiance. That figure is subtracted from TIR radiance iteratively to estimate the emitted radiance from which temperature is calculated using the NEM module. ASTER Level 2 data requests for observations that occurred after May 27, 2020 will resort back to using the climatology ozone input. Additional information can be found in the ASTER L2 Processing Options Update (https://lpdaac.usgs.gov/news/aster-l2-processing-options-update/). Starting June 23, 2021, radiometric calibration coefficient Version 5 (RCC V5) will be applied to newly observed ASTER data and archived ASTER data products. Details regarding RCC V5 are described in the following journal article. Tsuchida, S., Yamamoto, H., Kouyama, T., Obata, K., Sakuma, F., Tachikawa, T., Kamei, A., Arai, K., Czapla-Myers, J.S., Biggar, S.F., and Thome, K.J., 2020, Radiometric Degradation Curves for the ASTER VNIR Processing Using Vicarious and Lunar Calibrations: Remote Sensing, v. 12, no. 3, at https://doi.org/10.3390/rs12030427. As of December 15, 2021, the LP DAAC has implemented changes to ASTER PGE Version 3.4, which will affect all ASTER Level 2 on-demand products. Changes include: • Aura Ozone Monitoring Instrument (OMI) has been added as one of the ancillary ozone inputs for any observations made after May 27, 2020. The sequence of fallbacks for ozone will remain the same. • Toolkit has been updated from Version 5.2.17 to 5.2.20. Users may notice minor differences between the two versions. Differences may include minuscule changes in digital numbers around the peripheral of the granule and boundaries of a cloud for Surface Reflectance and Surface Radiance (AST07 and AST09) QA Data Plane depending on the Operating System and libraries being used by the user to process the data. Additionally, Climatology, which is one of the inputs for Ozone and Moisture, Temperature and Pressures (MTP) will be removed from the Earthdata Order Form. It has been observed that PGEs generated with Climatology as an input yield noticeable differences statistically during image and spectral analysis. Climatology will continue to be used as the final default if neither of the first two selectable options are available for Ozone and MTP. Users can check the OPERATIONALQUALITYFLAGEXPLANATION field in the metadata or the output file for atmospheric parameters that were applied. " proprietary -AST_09T_003 ASTER L2 Surface Radiance TIR V003 LPDAAC_ECS STAC Catalog 2000-03-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1299783609-LPDAAC_ECS.umm_json "The ASTER Surface Radiance TIR (AST_09T) is generated (https://lpdaac.usgs.gov/documents/996/ASTER_Earthdata_Search_Order_Instructions.pdf) using the five Thermal Infrared (TIR) bands (acquired either during the day or night time) between 8 and 12 µm spectral range. It provides surface-leaving radiance for the TIR bands at a spatial resolution of 90 meters, which includes both surface-emitted and surface-reflected components. It also provides the downwelling sky irradiance values (in W/m2/µm) for each of the TIR bands. This product is atmospherically corrected, and the surface-leaving radiance is of known accuracy and valid only for clear-sky scenes (cloud-free pixels). This atmospherically corrected product provides the input for generating two other higher-level products: surface spectral emissivity and surface kinetic temperature. The algorithm to correct atmospheric effects involves two elements: 1) it uses a radiative transfer model which is capable of estimating the magnitude of atmospheric emission, absorption, and scattering. It uses the Moderate Resolution Transmittance Code (MODTRAN) radiative transfer model, which calculates atmospheric transmittance and radiance for frequencies from 0 to 50,000 cmˉ¹ at moderate spectral resolution. 2) It identifies and incorporates all the necessary atmospheric parameters applicable to the location and time for which the measurements require correction. These include temperature, water vapor, elevation, ozone, and aerosols. ASTER Level 2 data requests for observations that occurred after May 27, 2020 will resort back to using the climatology ozone input. Additional information can be found in the ASTER L2 Processing Options Update (https://lpdaac.usgs.gov/news/aster-l2-processing-options-update/). Starting June 23, 2021, radiometric calibration coefficient Version 5 (RCC V5) will be applied to newly observed ASTER data and archived ASTER data products. Details regarding RCC V5 are described in the following journal article. Tsuchida, S., Yamamoto, H., Kouyama, T., Obata, K., Sakuma, F., Tachikawa, T., Kamei, A., Arai, K., Czapla-Myers, J.S., Biggar, S.F., and Thome, K.J., 2020, Radiometric Degradation Curves for the ASTER VNIR Processing Using Vicarious and Lunar Calibrations: Remote Sensing, v. 12, no. 3, at https://doi.org/10.3390/rs12030427. As of December 15, 2021, the LP DAAC has implemented changes to ASTER PGE Version 3.4, which will affect all ASTER Level 2 on-demand products. Changes include: • Aura Ozone Monitoring Instrument (OMI) has been added as one of the ancillary ozone inputs for any observations made after May 27, 2020. The sequence of fallbacks for ozone will remain the same. • Toolkit has been updated from Version 5.2.17 to 5.2.20. Users may notice minor differences between the two versions. Differences may include minuscule changes in digital numbers around the peripheral of the granule and boundaries of a cloud for Surface Reflectance and Surface Radiance (AST07 and AST09) QA Data Plane depending on the Operating System and libraries being used by the user to process the data. Additionally, Climatology, which is one of the inputs for Ozone and Moisture, Temperature and Pressures (MTP) will be removed from the Earthdata Order Form. It has been observed that PGEs generated with Climatology as an input yield noticeable differences statistically during image and spectral analysis. Climatology will continue to be used as the final default if neither of the first two selectable options are available for Ozone and MTP. Users can check the OPERATIONALQUALITYFLAGEXPLANATION field in the metadata or the output file for atmospheric parameters that were applied. " proprietary -AST_09XT_003 ASTER L2 Surface Radiance - VNIR and Crosstalk Corrected SWIR V003 LPDAAC_ECS STAC Catalog 2000-03-06 -180, -83, 180, 83 https://cmr.earthdata.nasa.gov/search/concepts/C1299783631-LPDAAC_ECS.umm_json "The ASTER Surface Radiance VNIR and Crosstalk Corrected SWIR (AST_09XT) is a multi-file product (https://lpdaac.usgs.gov/documents/996/ASTER_Earthdata_Search_Order_Instructions.pdf) that contains atmospherically corrected data for both the Visible and Near Infrared (VNIR) and Shortwave Infrared (SWIR) sensors. The crosstalk phenomenon was discovered during the nascent stage of the Terra Mission. It is whereby the incident light with band 4 caused multiple reflections for the SWIR bands, which resulted in blurred images. This has been corrected with the ASTER L2 Surface Radiance VNIR and Crosstalk Corrected SWIR data product. Each product delivery includes two Hierarchical Data Format - Earth Observing System (HDF-EOS) files: one for the VNIR, and the other for the SWIR. Both the VNIR and the SWIR data are atmospherically corrected using the corresponding bands from an (ASTER Level 1B) (https://doi.org/10.5067/ASTER/AST_L1B.003) image. ASTER Level 2 data requests for observations that occurred after May 27, 2020 will resort back to using the climatology ozone input. Additional information can be found in the ASTER L2 Processing Options Update (https://lpdaac.usgs.gov/news/aster-l2-processing-options-update/). Starting June 23, 2021, radiometric calibration coefficient Version 5 (RCC V5) will be applied to newly observed ASTER data and archived ASTER data products. Details regarding RCC V5 are described in the following journal article. Tsuchida, S., Yamamoto, H., Kouyama, T., Obata, K., Sakuma, F., Tachikawa, T., Kamei, A., Arai, K., Czapla-Myers, J.S., Biggar, S.F., and Thome, K.J., 2020, Radiometric Degradation Curves for the ASTER VNIR Processing Using Vicarious and Lunar Calibrations: Remote Sensing, v. 12, no. 3, at https://doi.org/10.3390/rs12030427. As of December 15, 2021, the LP DAAC has implemented changes to ASTER PGE Version 3.4, which will affect all ASTER Level 2 on-demand products. Changes include: • Aura Ozone Monitoring Instrument (OMI) has been added as one of the ancillary ozone inputs for any observations made after May 27, 2020. The sequence of fallbacks for ozone will remain the same. • Toolkit has been updated from Version 5.2.17 to 5.2.20. Users may notice minor differences between the two versions. Differences may include minuscule changes in digital numbers around the peripheral of the granule and boundaries of a cloud for Surface Reflectance and Surface Radiance (AST07 and AST09) QA Data Plane depending on the Operating System and libraries being used by the user to process the data. Additionally, Climatology, which is one of the inputs for Ozone and Moisture, Temperature and Pressures (MTP) will be removed from the Earthdata Order Form. It has been observed that PGEs generated with Climatology as an input yield noticeable differences statistically during image and spectral analysis. Climatology will continue to be used as the final default if neither of the first two selectable options are available for Ozone and MTP. Users can check the OPERATIONALQUALITYFLAGEXPLANATION field in the metadata or the output file for atmospheric parameters that were applied. " proprietary -AST_09_003 ASTER L2 Surface Radiance VNIR and SWIR V003 LPDAAC_ECS STAC Catalog 2000-03-06 -180, -83, 180, 83 https://cmr.earthdata.nasa.gov/search/concepts/C1299783574-LPDAAC_ECS.umm_json "The ASTER Surface Radiance VNIR and SWIR (AST_09) is a multi-file product (https://lpdaac.usgs.gov/documents/996/ASTER_Earthdata_Search_Order_Instructions.pdf) that contains atmospherically corrected data for both the Visible and Near Infrared (VNIR) and Shortwave Infrared (SWIR) sensors. Each product delivery includes two Hierarchical Data Format - Earth Observing System (HDF-EOS) files: one for the VNIR, and the other for the SWIR. They are distinguished from one another by a one-second difference in the production time that appears as part of the file name. The more obvious distinguishing feature is the file size; the VNIR file is always the larger of the two. Both the VNIR and SWIR data are atmospherically corrected and are generated using the bands of the corresponding (ASTER Level 1B) (https://doi.org/10.5067/ASTER/AST_L1B.003) image. ASTER Level 2 data requests for observations that occurred after May 27, 2020 will resort back to using the climatology ozone input. Additional information can be found in the ASTER L2 Processing Options Update (https://lpdaac.usgs.gov/news/aster-l2-processing-options-update/). Starting June 23, 2021, radiometric calibration coefficient Version 5 (RCC V5) will be applied to newly observed ASTER data and archived ASTER data products. Details regarding RCC V5 are described in the following journal article. Tsuchida, S., Yamamoto, H., Kouyama, T., Obata, K., Sakuma, F., Tachikawa, T., Kamei, A., Arai, K., Czapla-Myers, J.S., Biggar, S.F., and Thome, K.J., 2020, Radiometric Degradation Curves for the ASTER VNIR Processing Using Vicarious and Lunar Calibrations: Remote Sensing, v. 12, no. 3, at https://doi.org/10.3390/rs12030427. As of December 15, 2021, the LP DAAC has implemented changes to ASTER PGE Version 3.4, which will affect all ASTER Level 2 on-demand products. Changes include: • Aura Ozone Monitoring Instrument (OMI) has been added as one of the ancillary ozone inputs for any observations made after May 27, 2020. The sequence of fallbacks for ozone will remain the same. • Toolkit has been updated from Version 5.2.17 to 5.2.20. Users may notice minor differences between the two versions. Differences may include minuscule changes in digital numbers around the peripheral of the granule and boundaries of a cloud for Surface Reflectance and Surface Radiance (AST07 and AST09) QA Data Plane depending on the Operating System and libraries being used by the user to process the data. Additionally, Climatology, which is one of the inputs for Ozone and Moisture, Temperature and Pressures (MTP) will be removed from the Earthdata Order Form. It has been observed that PGEs generated with Climatology as an input yield noticeable differences statistically during image and spectral analysis. Climatology will continue to be used as the final default if neither of the first two selectable options are available for Ozone and MTP. Users can check the OPERATIONALQUALITYFLAGEXPLANATION field in the metadata or the output file for atmospheric parameters that were applied. " proprietary -AST_L1AE_003 ASTER Expedited L1A Reconstructed Unprocessed Instrument Data V003 LPDAAC_ECS STAC Catalog 2000-03-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C179460405-LPDAAC_ECS.umm_json The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Expedited Level 1A Reconstructed Unprocessed Instrument Data (AST_L1AE) global product contains reconstructed, unprocessed instrument digital data derived from the acquired telemetry streams of the telescopes: Visible and Near Infrared (VNIR), Shortwave Infrared (SWIR), and Thermal Infrared (TIR). This data product is similar to the (AST_L1A) (http://doi.org/10.5067/ASTER/AST_L1A.003) with a few notable exceptions. These include: * The AST_L1AE is available for download within 48 hours of acquisition in support of field calibration and validation efforts, in addition to emergency response for natural disasters where the quick turn-around time from acquisition to availability would prove beneficial in initial damage or impact assessments. * The registration quality of the AST_L1AE is likely to be lower than the AST_L1A, and may vary from scene to scene. * The AST_L1AE data product does not contain the VNIR 3B (aft-viewing) Band. * This dataset does not have short-term calibration for the Thermal Infrared (TIR) sensor. * The AST_L1AE data product is only available for download 30 days after acquisition. It is then removed and reprocessed into an AST_L1A product. proprietary -AST_L1A_003 ASTER L1A Reconstructed Unprocessed Instrument Data V003 LPDAAC_ECS STAC Catalog 2000-03-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C14758250-LPDAAC_ECS.umm_json The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Level 1A (AST_L1A) contains reconstructed, instrument digital numbers (DNs) derived from the acquired telemetry streams of the telescopes: Visible and Near Infrared (VNIR), Shortwave Infrared (SWIR), and Thermal Infrared (TIR). Additionally, geometric correction coefficients and radiometric calibration coefficients are calculated and appended to the metadata, but not applied. The spatial resolution is 15 m (VNIR), 30 m (SWIR), and 90 m (TIR) with a temporal coverage of 2000 to present. Starting June 23, 2021, radiometric calibration coefficient Version 5 (RCC V5) will be applied to newly observed ASTER data and archived ASTER data products. Details regarding RCC V5 are described in the following journal article. Tsuchida, S., Yamamoto, H., Kouyama, T., Obata, K., Sakuma, F., Tachikawa, T., Kamei, A., Arai, K., Czapla-Myers, J.S., Biggar, S.F., and Thome, K.J., 2020, Radiometric Degradation Curves for the ASTER VNIR Processing Using Vicarious and Lunar Calibrations: Remote Sensing, v. 12, no. 3, at https://doi.org/10.3390/rs12030427. proprietary -AST_L1BE_003 ASTER Expedited L1B Registered Radiance at the Sensor V003 LPDAAC_ECS STAC Catalog 2000-03-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C179460406-LPDAAC_ECS.umm_json The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Expedited Level 1B Registered Radiance at the Sensor global data product is radiometrically calibrated and geometrically co-registered. Application of intra-telescope and inter-telescope registration corrections for all bands are relative to the reference band for each telescope: Visible and Near Infrared (VNIR) Band 2, Shortwave Infrared (SWIR) Band 6, and Thermal Infrared (TIR) Band 11. The Expedited Level 1B data product is similar to the (AST_L1B) (https://doi.org/10.5067/ASTER/AST_L1B.003) with a few notable exceptions. These include: * The AST_L1BE is available for download within 48 hours of acquisition in support of field calibration and validation efforts, in addition to emergency response for natural disasters where the quick turn-around time from acquisition to availability would prove beneficial in initial damage or impact assessments. * The registration quality of the AST_L1BE is likely to be lower than the AST_L1B, and may vary from scene to scene. * The AST_L1BE dataset does not contain the VNIR 3B (aft-viewing) Band. * This dataset does not have short-term calibration for the Thermal Infrared (TIR) sensor. proprietary -AST_L1B_003 ASTER L1B Registered Radiance at the Sensor V003 LPDAAC_ECS STAC Catalog 2000-03-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C190733714-LPDAAC_ECS.umm_json The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Level-1B (AST_L1B) Registered Radiance at the Sensor data product is radiometrically calibrated and geometrically co-registered. Application of intra-telescope and inter-telescope registration corrections for all bands are relative to the reference band for each telescope: Visible and Near Infrared (VNIR) Band 2, Shortwave Infrared (SWIR) Band 6, and Thermal Infrared (TIR) Band 11. The spatial resolution is 15 m (VNIR), 30 m (SWIR), and 90 m (TIR) with a temporal coverage of 2000 to present. Starting June 23, 2021, radiometric calibration coefficient Version 5 (RCC V5) will be applied to newly observed ASTER data and archived ASTER data products. Details regarding RCC V5 are described in the following journal article. Tsuchida, S., Yamamoto, H., Kouyama, T., Obata, K., Sakuma, F., Tachikawa, T., Kamei, A., Arai, K., Czapla-Myers, J.S., Biggar, S.F., and Thome, K.J., 2020, Radiometric Degradation Curves for the ASTER VNIR Processing Using Vicarious and Lunar Calibrations: Remote Sensing, v. 12, no. 3, at https://doi.org/10.3390/rs12030427. proprietary -AST_L1T_003 ASTER Level 1 precision terrain corrected registered at-sensor radiance V003 LPDAAC_ECS STAC Catalog 2000-03-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000000320-LPDAAC_ECS.umm_json The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Level 1 Precision Terrain Corrected Registered At-Sensor Radiance (AST_L1T) data contains calibrated at-sensor radiance, which corresponds with the ASTER Level 1B (AST_L1B) (https://doi.org/10.5067/ASTER/AST_L1B.003), that has been geometrically corrected, and rotated to a north-up UTM projection. The AST_L1T is created from a single resampling of the corresponding ASTER L1A (AST_L1A) (https://doi.org/10.5067/ASTER/AST_L1A.003) product. The bands available in the AST_L1T depend on the bands in the AST_L1A and can include up to three Visible and Near Infrared (VNIR) bands, six Shortwave Infrared (SWIR) bands, and five Thermal Infrared (TIR) bands. The AST_L1T dataset does not include the aft-looking VNIR band 3. The precision terrain correction process incorporates GLS2000 digital elevation data with derived ground control points (GCPs) to achieve topographic accuracy for all daytime scenes where correlation statistics reach a minimum threshold. Alternate levels of correction are possible (systematic terrain, systematic, or precision) for scenes acquired at night or that otherwise represent a reduced quality ground image (e.g., cloud cover). For daytime images, if the VNIR or SWIR telescope collected data and precision correction was attempted, each precision terrain corrected image will have an accompanying independent quality assessment. It will include the geometric correction available for distribution in both as a text file and a single band browse images with the valid GCPs overlaid. This multi-file product also includes georeferenced full resolution browse images. The number of browse images and the band combinations of the images depends on the bands available in the corresponding (AST_L1A) (https://doi.org/10.5067/ASTER/AST_L1A.003) dataset. proprietary -AST_L1T_031 ASTER Level 1 Precision Terrain Corrected Registered At-Sensor Radiance V031 LPDAAC_ECS STAC Catalog 2000-03-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2052604735-LPDAAC_ECS.umm_json The Terra Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Level 1 Precision Terrain Corrected Registered At-Sensor Radiance (AST_L1T) Version 3.1 data contains calibrated at-sensor radiance, which corresponds with the ASTER Level 1B AST_L1B (https://doi.org/10.5067/ASTER/AST_L1B.003), that has been geometrically corrected and rotated to a north-up UTM projection. The AST_L1T V3.1 is created from a single resampling of the corresponding ASTER L1A AST_L1A (https://doi.org/10.5067/ASTER/AST_L1A.003) product. Radiometric calibration coefficients Version 5 (RCC V5) are applied to this product to improve the degradation curve derived from vicarious and lunar calibrations. The bands available in the AST_L1T V3.1 depend on the bands in the AST_L1A and can include up to three Visible and Near Infrared (VNIR) bands, six Shortwave Infrared (SWIR) bands, and five Thermal Infrared (TIR) bands. The AST_L1T V3.1 dataset does not include the aft-looking VNIR band 3. The 3.1 version uses a precision terrain correction process that incorporates GLS2000 digital elevation data with derived ground control points (GCPs) to achieve topographic accuracy for all daytime scenes where correlation statistics reach a minimum threshold. Alternate levels of correction are possible (systematic terrain, systematic, or precision) for scenes acquired at night or that otherwise represent a reduced quality ground image (e.g., cloud cover). For daytime images, if the VNIR or SWIR telescope collected data and precision correction was attempted, each precision terrain corrected image will have an accompanying independent quality assessment. It will include the geometric correction available for distribution in both a text file and a single band browse image with the valid GCPs overlaid. This multi-file product also includes georeferenced full resolution browse images. The number of browse images and the band combinations of the images depend on the bands available in the corresponding AST_L1A dataset. The AST_L1T V3.1 data product is only available through NASA’s Earthdata Search. The ASTER L1T V3.1 Order Instructions provide step-by-step directions for ordering this product. proprietary -ATL02_005 ATLAS/ICESat-2 L1B Converted Telemetry Data V005 NSIDC_CPRD STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2153572246-NSIDC_CPRD.umm_json This data set (ATL02) contains science unit-converted, time-ordered telemetry data, calibrated for instrument effects, downlinked from the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. The data are used by the ATLAS/ICESat-2 Science Investigator-led Processing System (SIPS) for system–level, quality control analysis and as source data for ATLAS/ICESat-2 Level-2 products and the Precision Orbit Determination (POD) and Precision Pointing Determination (PPD) computations. proprietary -ATL02_006 ATLAS/ICESat-2 L1B Converted Telemetry Data V006 NSIDC_CPRD STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2547589158-NSIDC_CPRD.umm_json This data set (ATL02) contains science-unit-converted time-ordered telemetry data, calibrated for instrument effects, downlinked from the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. The data are used by the ATLAS/ICESat-2 Science Investigator-led Processing System (SIPS) for system-level, quality control analysis and as source data for ATLAS/ICESat-2 Level-2 products and Precision Orbit Determination (POD) and Precision Pointing Determination (PPD) computations. proprietary -ATL03_005 ATLAS/ICESat-2 L2A Global Geolocated Photon Data V005 NSIDC_CPRD STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2153572325-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_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 -ATL04_005 ATLAS/ICESat-2 L2A Normalized Relative Backscatter Profiles V005 NSIDC_CPRD STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2153572406-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_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_005 ATLAS/ICESat-2 L3A Land Ice Height V005 NSIDC_CPRD STAC Catalog 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2153572614-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 -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 -ATL07_005 ATLAS/ICESat-2 L3A Sea Ice Height V005 NSIDC_CPRD STAC Catalog 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2153574585-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_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 -ATL08_005 ATLAS/ICESat-2 L3A Land and Vegetation Height V005 NSIDC_CPRD STAC Catalog 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2153574670-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_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 -ATL09_005 ATLAS/ICESat-2 L3A Calibrated Backscatter Profiles and Atmospheric Layer Characteristics V005 NSIDC_CPRD STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2153574732-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 -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 -ATL10_005 ATLAS/ICESat-2 L3A Sea Ice Freeboard V005 NSIDC_CPRD STAC Catalog 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2153574813-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_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 -ATL12_005 ATLAS/ICESat-2 L3A Ocean Surface Height V005 NSIDC_CPRD STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2153574991-NSIDC_CPRD.umm_json This data set (ATL12) contains along-track sea surface heights at variable length scales over cloud-free regions. Estimates of height distributions, surface roughness, surface slope, 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 -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 -ATL13_005 ATLAS/ICESat-2 L3A Along Track Inland Surface Water Data V005 NSIDC_CPRD STAC Catalog 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2153575088-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_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 -ATSMIB2E_003 MISR L1B2 Ellipsoid Product subset for the ARCTAS region V003 LARC STAC Catalog 2008-04-02 2008-07-24 -157, 54, -110, 71 https://cmr.earthdata.nasa.gov/search/concepts/C1000000561-LARC.umm_json This file contains Ellipsoid-projected TOA Radiance subset for the ARCTAS region,resampled at the surface and topographically corrected, as well as geometrically corrected by PGE22 proprietary -ATSMIB2T_003 MISR L1B2 Terrain Product subset for the ARCTAS region V003 LARC STAC Catalog 2008-04-02 2008-07-24 -157, 54, -110, 71 https://cmr.earthdata.nasa.gov/search/concepts/C1000000562-LARC.umm_json This file contains Terrain-projected TOA Radiance subset for the ARCTAS region,resampled at the surface and topographically corrected, as well as geometrically corrected by PGE22 proprietary -ATSMIGEO_002 MISR Geometric Parameters subset for the ARCTAS region V002 LARC STAC Catalog 2008-04-02 2008-07-24 -157, 54, -110, 71 https://cmr.earthdata.nasa.gov/search/concepts/C1000000541-LARC.umm_json This file contains the Geometric Parameters subset for the ARCTAS region which measures the sun and view angles at the reference ellipsoid 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_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 -AU_DySno_NRT_R02_2 NRT AMSR2 Unified L3 Global Daily 25 km EASE-Grid Snow Water Equivalent V2 LANCEAMSR2 STAC Catalog 2021-04-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2052622563-LANCEAMSR2.umm_json The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles. Near real-time (NRT) products are generated within 3 hours of the last observations in the file, by the Land Atmosphere Near real-time Capability for EOS (LANCE) at the AMSR Science Investigator-led Processing System (AMSR SIPS), which is collocated with the Global Hydrology Resource Center (GHRC) DAAC. The NRT AMSR2 Unified L3 Global Daily Snow Water Equivalent data set contains snow water equivalent (SWE) data and quality assurance flags mapped to Northern and Southern Hemisphere 25 km Equal-Area Scalable Earth Grids (EASE-Grids). Data are stored in HDF-EOS5 format and are available via HTTP from the EOSDIS LANCE system at https://lance.nsstc.nasa.gov/amsr2-science/data/level3/daysnow/. If data latency is not a primary concern, please consider using science quality products. Science products are created using the best available ancillary, calibration and ephemeris information. Science quality products are an internally consistent, well-calibrated record of the Earth's geophysical properties to support science. proprietary -AU_Land_1 AMSR-E/AMSR2 Unified L2B Half-Orbit 25 km EASE-Grid Surface Soil Moisture V001 NSIDC_ECS STAC Catalog 2012-07-02 -180, -89.24, 180, 89.24 https://cmr.earthdata.nasa.gov/search/concepts/C1343001245-NSIDC_ECS.umm_json The AMSR-E/AMSR2 Unified Level-2B land product provides a long-term data record by combining AMSR-E and AMSR2 data. This data set includes surface soil moisture estimates derived from L1R brightness temperatures using the Normalized Polarization Difference algorithm (NPD) and the Single Channel Algorithm (SCA) along with ancillary information gridded to the 25 km Equal-Area Scalable Earth Grid (EASE-Grid). proprietary -AU_Land_NRT_R02_2 NRT AMSR2 Unified L2B Half-Orbit 25 km EASE-Grid Surface Soil Moisture Beta V2 LANCEAMSR2 STAC Catalog 2018-04-11 -180, -89.24, 180, 89.24 https://cmr.earthdata.nasa.gov/search/concepts/C1514684539-LANCEAMSR2.umm_json The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles. Near real-time (NRT) products are generated within 3 hours of the last observations in the file, by the Land Atmosphere Near real-time Capability for EOS (LANCE) at the AMSR Science Investigator-led Processing System (AMSR SIPS), which is collocated with the Global Hydrology Resource Center (GHRC) DAAC. The GCOM-W1 NRT AMSR2 Unified L2B Half-Orbit 25 km EASE-Grid Surface Soil Moisture product is a daily measurement of surface soil moisture produced by two retrieval algorithms using resampled Tb (Level-1R) data provided by JAXA: the Normalized Polarization Difference (NPD) algorithm developed by JPL and the Single Channel Algorithm (SCA) developed by USDA. Ancillary data include time, geolocation, and quality assessment. Data are stored in HDF-EOS5 and netCDF4 formats and are available via HTTPS from the EOSDIS LANCE system at https://lance.nsstc.nasa.gov/amsr2-science/data/level2/land/. If data latency is not a primary concern, please consider using science quality products. Science products are created using the best available ancillary, calibration and ephemeris information. Science quality products are an internally consistent, well-calibrated record of the Earth's geophysical properties to support science. The AMSR SIPS produces AMSR2 standard science quality data products and they are available at the NSIDC DAAC. Note: This is the same algorithm that generates the corresponding standard science products in the AMSR SIPS. With this beta release, we are generating NRT products in both HDF-EOS5 and netCDF with CF metadata. Version 2 corrects these issues from the previous release: a boundary condition error that resulted in the failure of a small number of version 1 product files and an error in the number of low resolution scans processed which caused only the first half of each scan to be processed. proprietary -AU_MoSno_1 AMSR-E/AMSR2 Unified L3 Global Monthly 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/C1587883062-NSIDC_ECS.umm_json This AMSR-E/AMSR2 Unified Level-3 (L3) data set provides monthly mean 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_Ocean_1 AMSR-E/AMSR2 Unified L2B Global Swath Ocean Products V001 NSIDC_ECS STAC Catalog 2002-06-01 -180, -89.24, 180, 89.24 https://cmr.earthdata.nasa.gov/search/concepts/C2176472016-NSIDC_ECS.umm_json This AMSR Unified global ocean data set reports integrated water vapor and cloud liquid water content in the atmospheric column, plus 10-meter sea surface wind speeds. The data are derived from AMSR-E and AMSR2 brightness temperature observations that have been resampled by the Japan Aerospace Exploration Agency (JAXA) to facilitate an intercalibrated (i.e., “unified”) AMSR-E/AMSR2 data record. Ancillary files, including product history, quality assessment (QA), and file-specific metadata are also available. proprietary -AU_Ocean_NRT_R01_1 NRT AMSR2 Unified L2B Global Swath Ocean Products V1 LANCEAMSR2 STAC Catalog 2020-06-01 -180, -89, 180, 89 https://cmr.earthdata.nasa.gov/search/concepts/C1841273046-LANCEAMSR2.umm_json The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles. Near real-time (NRT) products are generated within 3 hours of the last observations in the file, by the Land Atmosphere Near real-time Capability for EOS (LANCE) at the AMSR Science Investigator-led Processing System (AMSR SIPS), which is collocated with the Global Hydrology Resource Center (GHRC) DAAC. The GCOM-W1 NRT AMSR2 Unified L2B Global Swath Ocean Products is a swath product containing global sea surface temperature over ocean, wind speed over ocean, water vapor over ocean and cloud liquid water over ocean, using resampled NRT Level-1R data provided by JAXA. This is the same algorithm that generates the corresponding standard science products in the AMSR SIPS. The NRT products are generated in HDF-EOS-5 augmented with netCDF-4/CF metadata and are available via HTTPS from the EOSDIS LANCE system at https://lance.nsstc.nasa.gov/amsr2-science/data/level2/ocean/. If data latency is not a primary concern, please consider using science quality products. Science products are created using the best available ancillary, calibration and ephemeris information. Science quality products are an internally consistent, well-calibrated record of the Earth's geophysical properties to support science. The AMSR SIPS produces AMSR2 standard science quality data products, and they are available at the NSIDC DAAC. proprietary -AU_Rain_1 AMSR-E/AMSR2 Unified L2B Global Swath Surface Precipitation V001 NSIDC_ECS STAC Catalog 2002-06-01 -180, -89.24, 180, 89.24 https://cmr.earthdata.nasa.gov/search/concepts/C1708620364-NSIDC_ECS.umm_json This AMSR-E/AMSR2 Unified Level-2B data set reports instantaneous surface precipitation rates and types (over land and ocean) and precipitation profiles (over ocean). The data are derived by applying the AMSR-E/AMSR2 unified algorithm to L1R data obtained by the Advanced Microwave Scanning Radiometer (AMSR) for EOS (AMSR-E) and AMSR2 instruments. proprietary -AU_Rain_NRT_R02_2 NRT AMSR2 Unified Global Swath Surface Precipitation GSFC Profiling Algorithm V2 LANCEAMSR2 STAC Catalog 2021-10-01 -180, -89, 180, 89 https://cmr.earthdata.nasa.gov/search/concepts/C2152626500-LANCEAMSR2.umm_json The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles. Near real-time (NRT) products are generated within 3 hours of the last observations in the file, by the Land Atmosphere Near real-time Capability for EOS (LANCE) at the AMSR Science Investigator-led Processing System (AMSR SIPS), which is collocated with the Global Hydrology Resource Center (GHRC) DAAC. The GCOM-W1 NRT AMSR2 Unified Global Swath Surface Precipitation GSFC Profiling Algorithm is a swath product containing global rain rate and type, calculated by the GPROF 2017 V2R rainfall retrieval algorithm using resampled NRT Level-1R data provided by JAXA. This is the same algorithm that generates the corresponding standard science products in the AMSR SIPS. The NRT products are generated in HDF-EOS-5 augmented with netCDF-4/CF metadata and are available via HTTPS from the EOSDIS LANCE system at https://lance.nsstc.nasa.gov/amsr2-science/data/level2/rain/. If data latency is not a primary concern, please consider using science quality products. Science products are created using the best available ancillary, calibration and ephemeris information. Science quality products are an internally consistent, well-calibrated record of the Earth's geophysical properties to support science. The AMSR SIPS produces AMSR2 standard science quality data products, and they are available at the NSIDC DAAC. proprietary -AU_SI12_1 AMSR-E/AMSR2 Unified L3 Daily 12.5 km Brightness Temperatures, Sea Ice Concentration, Motion & Snow Depth Polar Grids V001 NSIDC_ECS STAC Catalog 2012-07-02 -180, -89.24, 180, 89.24 https://cmr.earthdata.nasa.gov/search/concepts/C1542606326-NSIDC_ECS.umm_json The AMSR-E/AMSR2 Unified Level-3 12.5 km product provides brightness temperatures, sea ice concentration, and snow depth over sea ice for the Northern and Southern Hemisphere, as well as sea ice motion for the Arctic. This data set includes daily brightness temperature fields for channels ranging from 18.7 GHz through 89.0 GHz, daily sea ice concentration fields, and daily sea ice concentration difference fields for ascending orbits, descending orbits, and full orbit daily averages. Snow depth over sea ice is provided as a five-day running average for the Arctic and Antarctic. Sea Ice motion is provided daily for tracking ice movement over consecutive days in the Arctic. Note: This product uses the Japan Aerospace Exploration Agency (JAXA) AMSR2 Level-1R input brightness temperatures that are calibrated, or unified, across the JAXA AMSR-E and JAXA AMSR2 Level-1R products. proprietary -AU_SI12_NRT_R04_4 NRT AMSR2 Unified L3 Daily 12.5 km Brightness Temperature & Sea Ice Concentration V4 LANCEAMSR2 STAC Catalog 2020-06-29 -180, -89, 180, 89 https://cmr.earthdata.nasa.gov/search/concepts/C1886605827-LANCEAMSR2.umm_json The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles. Near real-time (NRT) products are generated within 3 hours of the last observations in the file, by the Land Atmosphere Near real-time Capability for EOS (LANCE) at the AMSR Science Investigator-led Processing System (AMSR SIPS), which is collocated with the Global Hydrology Resource Center (GHRC) DAAC. The NRT AMSR2 Unified L3 Daily 12.5 km Brightness Temperature & Sea Ice Concentration, Version 4 uses as input the resampled brightness temperature (Level-1R) data provided by the Japanese Aerospace Exploration Agency (JAXA). The Version 4 dataset uses the AMSR-U2 product generation algorithm with slight modifications for NRT product generation, same algorithm used to generation the standard, science quality, data that is available at the NSIDC DAAC. This Level-3 gridded product includes brightness temperatures at 89.0 GHz. Data are mapped to a polar stereographic grid at 12.5 km spatial resolution. Sea ice concentration and brightness temperatures include daily ascending averages, daily descending averages, and daily averages. Data are stored in HDF-EOS5 format and are available via HTTP from the EOSDIS LANCE system at https://lance.nsstc.nasa.gov/amsr2-science/data/level3/seaice12. If data latency is not a primary concern, please consider using science quality products. Science products are created using the best available ancillary, calibration and ephemeris information. Science quality products are an internally consistent, well-calibrated record of the Earth's geophysical properties to support science. These standard product, science quality, are available at the NSIDC DAAC: https://nsidc.org/ proprietary -AU_SI25_1 AMSR-E/AMSR2 Unified L3 Daily 25 km Brightness Temperatures & Sea Ice Concentration Polar Grids V001 NSIDC_ECS STAC Catalog 2012-07-02 -180, -89.24, 180, 89.24 https://cmr.earthdata.nasa.gov/search/concepts/C1542606320-NSIDC_ECS.umm_json The AMSR-E/AMSR2 Unified Level-3 25 km product provides sea ice concentration derived from brightness temperatures using the NASA Team 2 (NT2) algorithm for the Northern and Southern Hemisphere. This data set includes six daily brightness temperature fields for channels ranging from 6.9 through 89.0 GHz, three daily sea ice concentration fields, and three daily sea ice concentration difference fields for ascending orbits, descending orbits, and full orbit daily averages. The sea ice concentration difference fields compare the NT2 algorithm with the Bootstrap algorithm. All fields are mapped to 25 km polar stereographic grids. Note: This product uses the Japan Aerospace Exploration Agency (JAXA) AMSR2 Level-1R input brightness temperatures that are calibrated, or unified, across the JAXA AMSR-E and JAXA AMSR2 Level-1R products. proprietary -AU_SI25_NRT_R04_4 NRT AMSR2 Unified L3 Daily 25 km Brightness Temperature & Sea Ice Concentration Polar Grids V4 LANCEAMSR2 STAC Catalog 2020-06-29 -180, -89, 180, 89 https://cmr.earthdata.nasa.gov/search/concepts/C1886605830-LANCEAMSR2.umm_json The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles. Near real-time (NRT) products are generated within 3 hours of the last observations in the file, by the Land Atmosphere Near real-time Capability for EOS (LANCE) at the AMSR Science Investigator-led Processing System (AMSR SIPS), which is collocated with the Global Hydrology Resource Center (GHRC) DAAC. The NRT AMSR2 Unified L3 Daily 25 km Brightness Temperature & Sea Ice Concentration Polar Grids, Version 4 uses as input the resampled brightness temperature (Level-1R) data provided by the Japanese Aerospace Exploration Agency (JAXA). The Version 4 dataset uses the AMSR-U2 product generation algorithm with slight modifications for NRT product generation, same algorithm used to generation the standard, science quality, data that is available at the NSIDC DAAC. This Level-3 gridded product includes brightness temperatures at 6.9 through 89.0 GHz and sea ice concentrations. Data are mapped to a polar stereographic grid at 25 km spatial resolution. Sea ice concentration and brightness temperatures include daily ascending averages, daily descending averages, and daily averages. Data are stored in HDF-EOS5 format and are available via HTTP from the EOSDIS LANCE system at https://lance.nsstc.nasa.gov/amsr2-science/data/level3/seaice25. If data latency is not a primary concern, please consider using science quality products. Science products are created using the best available ancillary, calibration and ephemeris information. Science quality products are an internally consistent, well-calibrated record of the Earth's geophysical properties to support science. These standard product, science quality, are available at the NSIDC DAAC: https://nsidc.org/ proprietary -AU_SI6_1 AMSR-E/AMSR2 Unified L3 Daily 6.25 km Polar Gridded 89 GHz Brightness Temperatures V001 NSIDC_ECS STAC Catalog 2012-07-02 -180, -89.24, 180, 89.24 https://cmr.earthdata.nasa.gov/search/concepts/C1451715376-NSIDC_ECS.umm_json The AMSR-E/AMSR2 Unified Level-3 6.25 km product includes brightness temperatures at 89.0 GHz. Data are mapped to a polar stereographic grid at a spatial resolution of 6.25 km for the Northern and Southern Hemispheres. This product uses the Japan Aerospace Exploration Agency (JAXA) AMSR2 Level-1R input brightness temperatures that are calibrated (unified) across the JAXA AMSR-E and AMSR2 Level-1R products. proprietary -AU_SI6_NRT_R04_4 NRT AMSR2 Unified L3 Daily 6.25 km Polar Gridded 89 GHz Brightness Temperatures V4 LANCEAMSR2 STAC Catalog 2020-06-29 -180, -89, 180, 89 https://cmr.earthdata.nasa.gov/search/concepts/C1886605828-LANCEAMSR2.umm_json The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles. Near real-time (NRT) products are generated within 3 hours of the last observations in the file, by the Land Atmosphere Near real-time Capability for EOS (LANCE) at the AMSR Science Investigator-led Processing System (AMSR SIPS), which is collocated with the Global Hydrology Resource Center (GHRC) DAAC. The NRT AMSR2 Unified L3 Daily 6.25 km Polar Gridded 89 GHz Brightness Temperatures, Version 4 uses as input the resampled brightness temperature (Level-1R) data provided by the Japanese Aerospace Exploration Agency (JAXA). The Version 4 dataset uses the AMSR-U2 product generation algorithm with slight modifications for NRT product generation, same algorithm used to generation the standard, science quality, data that is available at the NSIDC DAAC. This Level-3 gridded product includes brightness temperatures at 89.0 GHz. Data are mapped to a polar stereographic grid at 6.25 km spatial resolution. This product is an intermediate product during processing of LANCE AMSR2 Level-3 sea ice products at 12.5 km and 25 km resolution. Data are stored in HDF-EOS5/netCDF-CF format and are available via HTTP from the EOSDIS LANCE system at https://lance.nsstc.nasa.gov/amsr2-science/data/level3/seaice6. If data latency is not a primary concern, please consider using science quality products. Science products are created using the best available ancillary, calibration and ephemeris information. Science quality products are an internally consistent, well-calibrated record of the Earth's geophysical properties to support science. These standard product, science quality, are available at the NSIDC DAAC: https://nsidc.org/ proprietary -AVHRR_GLOBAL_10-DAY_COMPOSITES_Not provided AVHRR 1-km Global Land 10-Day Composites USGS_LTA STAC Catalog 1992-04-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1220566288-USGS_LTA.umm_json The Advanced Very High Resolution Radiometer (AVHRR) 1-km Global Land 10-Day Composites data set project is a component of the National Aeronautics and Space Administration (NASA) AVHRR Pathfinder Program. The project is a collaborative effort between the National Oceanic and Atmospheric Administration (NOAA), NASA, the U.S. Geological Survey (USGS), the European Space Agency (ESA), Australia's Commonwealth Scientific and Industrial Research Organization (CSIRO), and 30 international ground receiving stations. The project represents an international effort to archive and distribute the 1-km AVHRR composites of the entire global land surface to scientific researchers and to the general public. The data set is comprised of a time series of global 10-day normalized difference vegetation index composites. The composites are generated from radiometrically calibrated, atmospherically corrected, and geometrically corrected daily AVHRR observations. The time series begins in April 1992 and continues for specific time periods. proprietary -AVHRR_ORBITAL_SEGMENTS_Not provided AVHRR 1-km Orbital Segments USGS_LTA STAC Catalog 1992-04-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1220566340-USGS_LTA.umm_json The Advanced Very High Resolution Radiometer (AVHRR) 1-km Orbital Segments data set is a component of the National Aeronautics and Space Administration (NASA) AVHRR Pathfinder Program and contains global coverage of land masses at 1-kilometer resolution. The data set is the result of an international effort to acquire, process, and distribute AVHRR data of the entire global land surface to meet the needs of the international science community. The orbital segments are comprised of raw AVHRR scenes consisting of 5-channel, 10-bit, AVHRR data at 1.1-km resolution at nadir. The raw data are used to produce vegetation index composites; to support fire detection and cloud screening activities; to support research in atmospheric correction; to develop algorithms; and to support a host of research activities that may require the inclusion of raw AVHRR data. proprietary Active_Fluorescence_2001_0 Active fluorescence measurements in the Gulf Stream in 2001 OB_DAAC STAC Catalog 2001-06-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360093-OB_DAAC.umm_json Measurements in the Gulf Stream off the East Coast of the US in 2001 proprietary -AirSWOT_Orthomosaic_WaterMask_1655_1 ABoVE: AirSWOT Radar, Orthomosaic, and Water Masks, Yukon Flats Basin, Alaska, 2015 ORNL_CLOUD STAC Catalog 2015-06-15 2015-06-15 -148, 65.93, -145, 66.9 https://cmr.earthdata.nasa.gov/search/concepts/C2162179805-ORNL_CLOUD.umm_json This dataset provides NASA AirSWOT Ka-band (35.75 GHz) radar interferometry data products for water surface elevation (WSE), a derived color-infrared (CIR) digital image orthomosaic, and derived lake/wetland and river channel water masks at 3.6 x 3.6 m resolution for a study area of ~3,300 km2 in the Yukon Flats Basin (YFB) in eastern interior Alaska. The data were collected during a flight over the region on June 15, 2015.These data were collected to validate AirSWOT WSE mappings and to improve the understanding of surface water flow through complex Arctic-Boreal wetland systems. proprietary -Alder_Shrub_Soil_Alaska_2120_1 ABoVE: Alder Shrub Cover and Soil Properties, Alaska, 2019 ORNL_CLOUD STAC Catalog 2018-08-14 2019-08-28 -150.71, 66.34, -149.71, 68.02 https://cmr.earthdata.nasa.gov/search/concepts/C2575421351-ORNL_CLOUD.umm_json This dataset holds measures of vegetative cover and soil characteristics for sites in interior Alaska, U.S., along the James W. Dalton Highway (Alaska Route 11). The field data were collected during August in 2018 and 2019 to study the expansion of shrub cover, particularly alders (Alnus spp.) in tundra ecosystems and the potential impact of shrubs on soil properties. Samples were measured along transects at 5- to 10-m intervals. Soil samples were collected and analyzed in the laboratory. Vegetation variables include percent cover of mosses, lichens, graminoid species, shrubs, alder, birch (Betula spp.), and willow (Salix spp.) along with the biomass, size, and age structure of alder. An allometric model to estimate alder biomass was developed. Soil metrics include moisture content, conductivity, bulk density, carbon and nitrogen content and isotope ratios. The data include the maximum annual Normalized Difference Vegetation Index (NDVI) for 2019 and the trend in maximum NDVI for 2000-2020. The data are provided in comma-separated values (CSV) format. proprietary -Annual_30m_AGB_1808_1 ABoVE: Annual Aboveground Biomass for Boreal Forests of ABoVE Core Domain, 1984-2014 ORNL_CLOUD STAC Catalog 1984-01-01 2014-12-31 -165.41, 51.78, -101.74, 69.73 https://cmr.earthdata.nasa.gov/search/concepts/C2111720412-ORNL_CLOUD.umm_json This dataset provides estimated annual aboveground biomass (AGB) density for live woody (tree and shrub) species and corresponding standard errors at a 30 m spatial resolution for the boreal forest biome portion of the Core Study Domain of NASA's Arctic-Boreal Vulnerability Experiment (ABoVE) Project (Alaska and Canada) over the time period 1984-2014. The data were derived from a time series of Landsat-5 and Landsat-7 surface reflectance imagery and full-waveform lidar returns from the Geoscience Laser Altimeter System (GLAS) flown onboard IceSAT from 2004 to 2008. The Change Detection and Classification (CCDC) model-fitting algorithm was used to estimate the seasonal variability in surface reflectance, and AGB density data were produced by applying allometric equations to the GLAS lidar data. A Gradient Boosted Machines machine learning algorithm was used to predict annual AGB density across the study domain given the seasonal variability in surface reflectance and other predictors. The data received statistical smoothing to reduce noise and uncertainty was estimated at the pixel level. These data contribute to the characterization of how biomass stocks are responding to climate and disturbance in boreal forests. proprietary C1_PANA_STUC00GTD_1 Cartosat-1 PANA Standard Products ISRO STAC Catalog 2005-08-05 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1293271378-ISRO.umm_json This is High resolution satellite carries two PAN sensors with 2.5m resolution and fore-aft stereo capability. The payload is designed to cater to applications in cartography, terrain modeling, cadastral mapping etc. Standard products are full scene (path-row) based geo-referenced as well as geo-orthokit products. proprietary C1_PANF_STUC00GTD_1 Cartosat-1 PANF Standard Products ISRO STAC Catalog 2005-08-05 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1293271427-ISRO.umm_json This is High resolution satellite carries two PAN sensors with 2.5m resolution and fore-aft stereo capability. The payload is designed to cater to applications in cartography, terrain modeling, cadastral mapping etc. Standard products are full scene (path-row) based geo-referenced as well as geo-orthokit products. proprietary -CDDIS_DORIS_data_cycle_1 CDDIS_DORIS_data_cycle CDDIS STAC Catalog 1990-03-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000000000-CDDIS.umm_json Doppler Orbitography and Radiopositioning Integrated by Satellite (DORIS) was developed by the Centre National d'Etudes Spatiales (CNES) with cooperation from other French government agencies. The system was developed to provide precise orbit determination and high accuracy location of ground beacons for point positioning. DORIS is a dual-frequency Doppler system that has been included as an experiment on various space missions such as TOPEX/Poseidon, SPOT-2, -3, -4, and -5, Envisat, and Jason satellites. Unlike many other navigation systems, DORIS is based on an uplink device. The receivers are on board the satellite with the transmitters are on the ground. This creates a centralized system in which the complete set of observations is downloaded by the satellite to the ground center, from where they are distributed after editing and processing. An accurate measurment is made of the Doppler shift on radiofrequency signals emitted by the ground beacons and received on the spacecraft. proprietary -CDDIS_DORIS_data_rinex_1 CDDIS_DORIS_data_rinex CDDIS STAC Catalog 2008-06-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000000001-CDDIS.umm_json The Doppler Orbitography by Radiopositioning Integrated on Satellite (DORIS) was developed by the Centre National d'Etudes Spatiales (CNES) with cooperation from other French government agencies. The system was developed to provide precise orbit determination and high accuracy location of ground beacons for point positioning. DORIS is a dual-frequency Doppler system that has been included as an experiment on various space missions such as TOPEX/Poseidon, SPOT-2, -3, -4, and -5, Envisat, and Jason satellites. Unlike many other navigation systems, DORIS is based on an uplink device. The receivers are on board the satellite with the transmitters are on the ground. This creates a centralized system in which the complete set of observations is downloaded by the satellite to the ground center, from where they are distributed after editing and processing. An accurate measurment is made of the Doppler shift on radiofrequency signals emitted by the ground beacons and received on the spacecraft. proprietary -CDDIS_DORIS_products_geocenter_1 CDDIS_DORIS_products_geocenter CDDIS STAC Catalog 1990-03-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000000002-CDDIS.umm_json Geocenter determination solutions derived from analysis of Doppler Orbitography by Radiopositioning Integrated on Satellite (DORIS) data. These products are the generated by analysis centers in support of the International DORIS Service (IDS). proprietary -CDDIS_DORIS_products_ionosphere_1 CDDIS_DORIS_products_ionosphere CDDIS STAC Catalog 2001-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000000003-CDDIS.umm_json Ionosphere correction values derived from analysis of Doppler Orbitography by Radiopositioning Integrated on Satellite (DORIS) data. These products are the generated by analysis centers in support of the International DORIS Service (IDS). proprietary -CDDIS_GNSS_products_IGS20_1 CDDIS GNSS ITRF2020 IGS products (IGS20) CDDIS STAC Catalog 1983-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2433571719-CDDIS.umm_json These data-derived products are the International GNSS Service (IGS) Analysis Centers' (AC) contribution to the International Terrestrial Reference Frame (ITRF) 2020. proprietary -CDDIS_MEASURES_products_coseismic_offsets_1 CDDIS SESES MEaSUREs products weekly coseismic offset time series CDDIS STAC Catalog 1992-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2042454001-CDDIS.umm_json Making Earth System Data Records for Use in Research Environments (MEaSUREs) empowers the research community to participate in developing and generating data products that complement and augment NASA produced and distributed Earth science data products. NASA’s Enhanced Solid Earth Science Earth Science Data Record (ESDR) System (ESESES) continues and extends mature geodetic data product generation and archival as part of the MEaSUREs SESES project providing new, multi-decade, calibrated and validated geodetic-derived ESDRs obtained by the Scripps Institution of Oceanography (SIO) and NASA's Jet Propulsion Laboratory (JPL). These data-derived products include continuous multi-year high-rate GNSS, seismogeodetic, and meteorological time series, a catalog of transient deformation in tectonically active areas known for aseismic motion such as ETS with focus in Cascadia, and continuous estimation and cataloging of total near-surface water content derived from continuous GNSS time series over the continental U.S. proprietary -CDDIS_MEASURES_products_daily_time_series_1 CDDIS SESES MEaSUREs products daily GNSS geodetic displacement time series CDDIS STAC Catalog 1992-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000000081-CDDIS.umm_json Making Earth System Data Records for Use in Research Environments (MEaSUREs) empowers the research community to participate in developing and generating data products that complement and augment NASA produced and distributed Earth science data products. NASA’s Enhanced Solid Earth Science Earth Science Data Record (ESDR) System (ESESES) continues and extends mature geodetic data product generation and archival as part of the MEaSUREs SESES project providing new, multi-decade, calibrated and validated geodetic-derived ESDRs obtained by the Scripps Institution of Oceanography (SIO) and NASA's Jet Propulsion Laboratory (JPL). These data-derived products include continuous multi-year high-rate GNSS, seismogeodetic, and meteorological time series, a catalog of transient deformation in tectonically active areas known for aseismic motion such as ETS with focus in Cascadia, and continuous estimation and cataloging of total near-surface water content derived from continuous GNSS time series over the continental U.S. These data products are daily geodetic displacement time series (compressed). They are combined, cleaned and filtered, GIPSY-GAMIT long-term time series of Continuous Global Navigation Satellite System (CGNSS) station positions (global and regional) in the latest version of ITRF proprietary -CDDIS_MEASURES_products_daily_tropo_delay_1 CDDIS SESES MEaSUREs GNSS products daily tropospheric delay CDDIS STAC Catalog 1992-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2042454082-CDDIS.umm_json Making Earth System Data Records for Use in Research Environments (MEaSUREs) empowers the research community to participate in developing and generating data products that complement and augment NASA produced and distributed Earth science data products. NASA’s Enhanced Solid Earth Science Earth Science Data Record (ESDR) System (ESESES) continues and extends mature geodetic data product generation and archival as part of the MEaSUREs SESES project providing new, multi-decade, calibrated and validated geodetic-derived ESDRs obtained by the Scripps Institution of Oceanography (SIO) and NASA's Jet Propulsion Laboratory (JPL). These data-derived products include continuous multi-year high-rate GNSS, seismogeodetic, and meteorological time series, a catalog of transient deformation in tectonically active areas known for aseismic motion such as ETS with focus in Cascadia, and continuous estimation and cataloging of total near-surface water content derived from continuous GNSS time series over the continental U.S. These GNSS data products are long-term time series of troposphere delay (5-minute resolution) at geodetic stations, necessarily estimated during position time series production. proprietary -CDDIS_MEASURES_products_discplacement_grids_1 CDDIS SESES MEaSUREs products weekly displacement grids time series CDDIS STAC Catalog 1992-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2042454029-CDDIS.umm_json Making Earth System Data Records for Use in Research Environments (MEaSUREs) empowers the research community to participate in developing and generating data products that complement and augment NASA produced and distributed Earth science data products. NASA’s Enhanced Solid Earth Science Earth Science Data Record (ESDR) System (ESESES) continues and extends mature geodetic data product generation and archival as part of the MEaSUREs SESES project providing new, multi-decade, calibrated and validated geodetic-derived ESDRs obtained by the Scripps Institution of Oceanography (SIO) and NASA's Jet Propulsion Laboratory (JPL). These data-derived products include continuous multi-year high-rate GNSS, seismogeodetic, and meteorological time series, a catalog of transient deformation in tectonically active areas known for aseismic motion such as ETS with focus in Cascadia, and continuous estimation and cataloging of total near-surface water content derived from continuous GNSS time series over the continental U.S. proprietary -CDDIS_MEASURES_products_earthquake_displacement_1 CDDIS SESES MEaSUREs products highrate earthquake displacement CDDIS STAC Catalog 1992-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2043197582-CDDIS.umm_json Making Earth System Data Records for Use in Research Environments (MEaSUREs) empowers the research community to participate in developing and generating data products that complement and augment NASA produced and distributed Earth science data products. NASA’s Enhanced Solid Earth Science Earth Science Data Record (ESDR) System (ESESES) continues and extends mature geodetic data product generation and archival as part of the MEaSUREs SESES project providing new, multi-decade, calibrated and validated geodetic-derived ESDRs obtained by the Scripps Institution of Oceanography (SIO) and NASA's Jet Propulsion Laboratory (JPL). These data-derived products include continuous multi-year high-rate GNSS, seismogeodetic, and meteorological time series, a catalog of transient deformation in tectonically active areas known for aseismic motion such as ETS with focus in Cascadia, and continuous estimation and cataloging of total near-surface water content derived from continuous GNSS time series over the continental U.S. These products consist of high-rate displacements at a rate of 1 sample per second or greater. They are used to measure the ground motions when an earthquake occurs. proprietary -CDDIS_MEASURES_products_transients_1 CDDIS SESES MEaSUREs products plate boundary aseismic transient deformation CDDIS STAC Catalog 1992-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2042416028-CDDIS.umm_json Making Earth System Data Records for Use in Research Environments (MEaSUREs) empowers the research community to participate in developing and generating data products that complement and augment NASA produced and distributed Earth science data products. NASA’s Enhanced Solid Earth Science Earth Science Data Record (ESDR) System (ESESES) continues and extends mature geodetic data product generation and archival as part of the MEaSUREs SESES project providing new, multi-decade, calibrated and validated geodetic-derived ESDRs obtained by the Scripps Institution of Oceanography (SIO) and NASA's Jet Propulsion Laboratory (JPL). These data-derived products include continuous multi-year high-rate GNSS, seismogeodetic, and meteorological time series, a catalog of transient deformation in tectonically active areas known for aseismic motion such as ETS with focus in Cascadia, and continuous estimation and cataloging of total near-surface water content derived from continuous GNSS time series over the continental U.S. These data products catalog plate boundary aseismic transient deformation with focus in Cascadia, cataloging and parameterizing transient deformation in tectonically active areas known for aseismic transient motion such as episodic tremor and slip (ETS), first discovered in Japan and Cascadia. proprietary -CDDIS_MEASURES_products_water_storage_1 CDDIS SESES MEaSUREs products total water storage time series CDDIS STAC Catalog 1992-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2042453960-CDDIS.umm_json Making Earth System Data Records for Use in Research Environments (MEaSUREs) empowers the research community to participate in developing and generating data products that complement and augment NASA produced and distributed Earth science data products. NASA’s Enhanced Solid Earth Science Earth Science Data Record (ESDR) System (ESESES) continues and extends mature geodetic data product generation and archival as part of the MEaSUREs SESES project providing new, multi-decade, calibrated and validated geodetic-derived ESDRs obtained by the Scripps Institution of Oceanography (SIO) and NASA's Jet Propulsion Laboratory (JPL). These data-derived products include continuous multi-year high-rate GNSS, seismogeodetic, and meteorological time series, a catalog of transient deformation in tectonically active areas known for aseismic motion such as ETS with focus in Cascadia, and continuous estimation and cataloging of total near-surface water content derived from continuous GNSS time series over the continental U.S. These data products are grids of changes in total water storage over the continental U.S.; continuous estimation and cataloging of total near-surface water content derived from continuous GNSS time series over the continental U.S. proprietary -CDDIS_SLR_products_ITRF2020_REPRO2020_1 CDDIS SLR products ITRF2020 Station Positions and Earth Orientation Parameters Time Series REPRO2020 CDDIS STAC Catalog 1983-01-01 2021-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2409908432-CDDIS.umm_json “The ILRS contribution to ITRF2020 consists of a pair of time series of weekly and bi-weekly station position estimates along with daily and 3-day averaged Earth Orientation Parameters (X-pole, Y-pole and excess Length-Of-Day (LOD)) estimated over 7-day arcs (1993.0 – 2021.0) and 15-day arcs for the period 1983.0-1993.0, aligned to the calendar weeks (Sunday to Saturday), starting from January 1983. Each solution is obtained through the combination of loosely constrained weekly/biweekly solutions submitted by each of the seven official ILRS Analysis Centers. Both, the individual and combined solutions have followed strict standards agreed upon within the ILRS Analysis Standing Committee (ASC) to provide ITRS products of the highest possible quality.” (The ILRS contribution to ITRF2020, E. C. Pavlis (GESTAR II/UMBC & NASA Goddard 61A) and V. Luceri (e-GEOS S.p.A., ASI/CGS)) proprietary -CDDIS_VLBI_data_SWIN_1A CDDIS VLBI SWIN data CDDIS STAC Catalog 2021-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2042428712-CDDIS.umm_json SWIN files contain the VLBI fringe visibilities of an observing session (24 hours long or 1 hour long). The files are created by the International VLBI Service for Geodesy and Astrometry (IVS) correlation centers and constitute the raw output of the Distributed FX-style (DiFX) software correlator running on a Swinburne supercomputer. These data form the basis for the fringe fitting process and can also be used to make source maps of the observed quasars. proprietary -CDDIS_VLBI_data_aux_1 CDDIS VLBI Auxilliary Files CDDIS STAC Catalog 2005-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2404928689-CDDIS.umm_json Very Long Baseline Interferometry (VLBI) auxiliary ASCII files provided by the International VLBI Service for Geodesy and Astrometry (IVS) include schedules, notes, and session log files. proprietary -CDDIS_VLBI_data_db_1 CDDIS VLBI data DB CDDIS STAC Catalog 2005-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2404975699-CDDIS.umm_json Very Long Baseline Interferometry (VLBI) binary files provided by the International VLBI Service for Geodesy and Astrometry (IVS) in vgosDB format. proprietary -CDDIS_VLBI_data_ngs_1 CDDIS VLBI NGS data CDDIS STAC Catalog 2005-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2404965297-CDDIS.umm_json Very Long Baseline Interferometry (VLBI) ASCII files in the NGS card format. proprietary -CDDIS_VLBI_data_vgosDB_1 CDDIS VLBI level 2 vgosDB format data CDDIS STAC Catalog 2017-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2289365510-CDDIS.umm_json This CDDIS collection is composed of geodetic, Very Long Baseline Array (VLBI) level 2 observational and supporting data (including observations, standard deviations, station coordinates, and more) and derived products which are stored and exchanged in a format named vgosDB, which is the International VLBI Service for Geodesy and Astrometry (IVS) standard format for storing, transmitting, and archiving VLBI data. vgosDB datasets are comprised of NetCDF and ASCII files which contain almost all the information that is required to process a single VLBI session (typically 24-hours of data per single session). proprietary -CDDIS_VLBI_product_EOPI_1 CDDIS VLBI Intensive Earth Orientation Parameter (EOPI) products CDDIS STAC Catalog 2005-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2398710772-CDDIS.umm_json These derived data products are intensive (1-hour experiments) Earth orientation parameter (EOPI) solutions obtained with Very Long Baseline Interferometry (VLBI). The CDDIS archive contains EOPI solutions provided by various analysis centers of the International VLBI Service for Geodesy and Astrometry (IVS). The VLBI EOPI series products includes one for each Universal Time (UT1) intensive session with a minimum of one year of data. The operational EOPI product is available at IVS Data Centers 24 hours after the Intensive data become available. proprietary -CDDIS_VLBI_product_trf_1 CDDIS VLBI products Terrestrial Reference Frame CDDIS STAC Catalog 2002-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2404809434-CDDIS.umm_json Terrestrial Reference Frame (TRF) product derived from the analysis of Very Long Baseline Interferometry (VLBI) data. The Terrestrial Reference Frame product includes station positions, velocities, and correlations. A minimum of three years of data are used in each solution. The TRF operational product is available quarterly at International VLBI Service for Geodesy and Astrometry (IVS) Data Centers. proprietary -CEOS_CalVal_Test_Site-Dome_C-Antarctica_Not provided CEOS Cal Val Test Site - Dome C, Antarctica - Instrumented Site USGS_LTA STAC Catalog 1972-12-06 123, -76.6, 131.18, -74.5 https://cmr.earthdata.nasa.gov/search/concepts/C1220566821-USGS_LTA.umm_json On the background of these requirements for sensor calibration, intercalibration and product validation, the subgroup on Calibration and Validation of the Committee on Earth Observing System (CEOS) formulated the following recommendation during the plenary session held in China at the end of 2004, with the goal of setting-up and operating an internet based system to provide sensor data, protocols and guidelines for these purposes: Background: Reference Datasets are required to support the understanding of climate change and quality assure operational services by Earth Observing satellites. The data from different sensors and the resulting synergistic data products require a high level of accuracy that can only be obtained through continuous traceable calibration and validation activities. Requirement: Initiate an activity to document a reference methodology to predict Top of Atmosphere (TOA) radiance for which currently flying and planned wide swath sensors can be intercompared, i.e. define a standard for traceability. Also create and maintain a fully accessible web page containing, on an instrument basis, links to all instrument characteristics needed for intercomparisons as specified above, ideally in a common format. In addition, create and maintain a database (e.g. SADE) of instrument data for specific vicarious calibration sites, including site characteristics, in a common format. Each agency is responsible for providing data for their instruments in this common format. Recommendation : The required activities described above should be supported for an implementation period of two years and a maintenance period over two subsequent years. The CEOS should encourage a member agency to accept the lead role in supporting this activity. CEOS should request all member agencies to support this activity by providing appropriate information and data in a timely manner. Instrumented Sites: Dome C, Antarctica is one of eight instrumented sites that are CEOS Reference Test Sites. The CEOS instrumented sites are provisionally being called LANDNET. These instrumented sites are primarily used for field campaigns to obtain radiometric gain, and these sites can serve as a focus for international efforts, facilitating traceability and inter-comparison to evaluate biases of in-flight and future instruments in a harmonized manner.  In the longer-term it is anticipated that these sites will all be fully automated and provide surface and atmospheric measurements to the WWW in an autonomous manner reducing some of the cost of a manned campaign, at present three can operate in this manner. proprietary -CEOS_CalVal_Test_Site-Dunhuang-China_Not provided CEOS Cal Val Test Site - Dunhuang, China - Instrumented Site USGS_LTA STAC Catalog 1975-04-15 91.98, 39, 96.52, 41.45 https://cmr.earthdata.nasa.gov/search/concepts/C1220566840-USGS_LTA.umm_json On the background of these requirements for sensor calibration, intercalibration and product validation, the subgroup on Calibration and Validation of the Committee on Earth Observing System (CEOS) formulated the following recommendation during the plenary session held in China at the end of 2004, with the goal of setting-up and operating an internet based system to provide sensor data, protocols and guidelines for these purposes: Background: Reference Datasets are required to support the understanding of climate change and quality assure operational services by Earth Observing satellites. The data from different sensors and the resulting synergistic data products require a high level of accuracy that can only be obtained through continuous traceable calibration and validation activities. Requirement: Initiate an activity to document a reference methodology to predict Top of Atmosphere (TOA) radiance for which currently flying and planned wide swath sensors can be intercompared, i.e. define a standard for traceability. Also create and maintain a fully accessible web page containing, on an instrument basis, links to all instrument characteristics needed for intercomparisons as specified above, ideally in a common format. In addition, create and maintain a database (e.g. SADE) of instrument data for specific vicarious calibration sites, including site characteristics, in a common format. Each agency is responsible for providing data for their instruments in this common format. Recommendation : The required activities described above should be supported for an implementation period of two years and a maintenance period over two subsequent years. The CEOS should encourage a member agency to accept the lead role in supporting this activity. CEOS should request all member agencies to support this activity by providing appropriate information and data in a timely manner. Instrumented Sites: Dunhuang, China, is one of eight instrumented sites that are CEOS Reference Test Sites. The CEOS instrumented sites are provisionally being called LANDNET. These instrumented sites are primarily used for field campaigns to obtain radiometric gain, and these sites can serve as a focus for international efforts, facilitating traceability and inter-comparison to evaluate biases of in-flight and future instruments in a harmonized manner.  In the longer-term it is anticipated that these sites will all be fully automated and provide surface and atmospheric measurements to the WWW in an autonomous manner reducing some of the cost of a manned campaign, at present three can operate in this manner. proprietary -CEOS_CalVal_Test_Site-Frenchman_Flat-USA_Not provided CEOS Cal Val Test Site - Frenchman Flat, USA - Instrumented Site USGS_LTA STAC Catalog 1972-08-09 -115.9, 36.7, -115.8, 36.9 https://cmr.earthdata.nasa.gov/search/concepts/C1220566808-USGS_LTA.umm_json On the background of these requirements for sensor calibration, intercalibration and product validation, the subgroup on Calibration and Validation of the Committee on Earth Observing System (CEOS) formulated the following recommendation during the plenary session held in China at the end of 2004, with the goal of setting-up and operating an internet based system to provide sensor data, protocols and guidelines for these purposes: Background: Reference Datasets are required to support the understanding of climate change and quality assure operational services by Earth Observing satellites. The data from different sensors and the resulting synergistic data products require a high level of accuracy that can only be obtained through continuous traceable calibration and validation activities. Requirement: Initiate an activity to document a reference methodology to predict Top of Atmosphere (TOA) radiance for which currently flying and planned wide swath sensors can be intercompared, i.e. define a standard for traceability. Also create and maintain a fully accessible web page containing, on an instrument basis, links to all instrument characteristics needed for intercomparisons as specified above, ideally in a common format. In addition, create and maintain a database (e.g. SADE) of instrument data for specific vicarious calibration sites, including site characteristics, in a common format. Each agency is responsible for providing data for their instruments in this common format. Recommendation : The required activities described above should be supported for an implementation period of two years and a maintenance period over two subsequent years. The CEOS should encourage a member agency to accept the lead role in supporting this activity. CEOS should request all member agencies to support this activity by providing appropriate information and data in a timely manner. Instrumented Sites: Frenchman Flat, USA is one of eight instrumented sites that are CEOS Reference Test Sites. The CEOS instrumented sites are provisionally being called LANDNET. These instrumented sites are primarily used for field campaigns to obtain radiometric gain, and these sites can serve as a focus for international efforts, facilitating traceability and inter-comparison to evaluate biases of in-flight and future instruments in a harmonized manner.  In the longer-term it is anticipated that these sites will all be fully automated and provide surface and atmospheric measurements to the WWW in an autonomous manner reducing some of the cost of a manned campaign, at present three can operate in this manner. proprietary -CEOS_CalVal_Test_Site-Ivanpah_Playa-USA_Not provided CEOS Cal Val Test Site - Ivanpah Playa, USA - Instrumented Site USGS_LTA STAC Catalog 1972-08-26 -115.5, 35.45, -115.3, 35.65 https://cmr.earthdata.nasa.gov/search/concepts/C1220566841-USGS_LTA.umm_json On the background of these requirements for sensor calibration, intercalibration and product validation, the subgroup on Calibration and Validation of the Committee on Earth Observing System (CEOS) formulated the following recommendation during the plenary session held in China at the end of 2004, with the goal of setting-up and operating an internet based system to provide sensor data, protocols and guidelines for these purposes: Background: Reference Datasets are required to support the understanding of climate change and quality assure operational services by Earth Observing satellites. The data from different sensors and the resulting synergistic data products require a high level of accuracy that can only be obtained through continuous traceable calibration and validation activities. Requirement: Initiate an activity to document a reference methodology to predict Top of Atmosphere (TOA) radiance for which currently flying and planned wide swath sensors can be intercompared, i.e. define a standard for traceability. Also create and maintain a fully accessible web page containing, on an instrument basis, links to all instrument characteristics needed for intercomparisons as specified above, ideally in a common format. In addition, create and maintain a database (e.g. SADE) of instrument data for specific vicarious calibration sites, including site characteristics, in a common format. Each agency is responsible for providing data for their instruments in this common format. Recommendation : The required activities described above should be supported for an implementation period of two years and a maintenance period over two subsequent years. The CEOS should encourage a member agency to accept the lead role in supporting this activity. CEOS should request all member agencies to support this activity by providing appropriate information and data in a timely manner. Instrumented Sites: Ivanpah Playa, USA is one of eight instrumented sites that are CEOS Reference Test Sites. The CEOS instrumented sites are provisionally being called LANDNET. These instrumented sites are primarily used for field campaigns to obtain radiometric gain, and these sites can serve as a focus for international efforts, facilitating traceability and inter-comparison to evaluate biases of in-flight and future instruments in a harmonized manner.  In the longer-term it is anticipated that these sites will all be fully automated and provide surface and atmospheric measurements to the WWW in an autonomous manner reducing some of the cost of a manned campaign, at present three can operate in this manner. proprietary -CEOS_CalVal_Test_Site-La_Crau-France_Not provided CEOS Cal Val Test Site - La Crau, France - Instrumented Site USGS_LTA STAC Catalog 1972-08-16 1.92, 41.86, 6.49, 45.63 https://cmr.earthdata.nasa.gov/search/concepts/C1220566843-USGS_LTA.umm_json On the background of these requirements for sensor calibration, intercalibration and product validation, the subgroup on Calibration and Validation of the Committee on Earth Observing System (CEOS) formulated the following recommendation during the plenary session held in China at the end of 2004, with the goal of setting-up and operating an internet based system to provide sensor data, protocols and guidelines for these purposes: Background: Reference Datasets are required to support the understanding of climate change and quality assure operational services by Earth Observing satellites. The data from different sensors and the resulting synergistic data products require a high level of accuracy that can only be obtained through continuous traceable calibration and validation activities. Requirement: Initiate an activity to document a reference methodology to predict Top of Atmosphere (TOA) radiance for which currently flying and planned wide swath sensors can be intercompared, i.e. define a standard for traceability. Also create and maintain a fully accessible web page containing, on an instrument basis, links to all instrument characteristics needed for intercomparisons as specified above, ideally in a common format. In addition, create and maintain a database (e.g. SADE) of instrument data for specific vicarious calibration sites, including site characteristics, in a common format. Each agency is responsible for providing data for their instruments in this common format. Recommendation : The required activities described above should be supported for an implementation period of two years and a maintenance period over two subsequent years. The CEOS should encourage a member agency to accept the lead role in supporting this activity. CEOS should request all member agencies to support this activity by providing appropriate information and data in a timely manner. Instrumented Sites: La Crau, France is one of eight instrumented sites that are CEOS Reference Test Sites. The CEOS instrumented sites are provisionally being called LANDNET. These instrumented sites are primarily used for field campaigns to obtain radiometric gain, and these sites can serve as a focus for international efforts, facilitating traceability and inter-comparison to evaluate biases of in-flight and future instruments in a harmonized manner.  In the longer-term it is anticipated that these sites will all be fully automated and provide surface and atmospheric measurements to the WWW in an autonomous manner reducing some of the cost of a manned campaign, at present three can operate in this manner. proprietary -CEOS_CalVal_Test_Site-Libya1_Not provided CEOS Cal Val Test Site - Libya 1 - Pseudo-Invariant Calibration Site (PICS) USGS_LTA STAC Catalog 1973-01-15 12.19, 23.44, 14.83, 25.76 https://cmr.earthdata.nasa.gov/search/concepts/C1220566868-USGS_LTA.umm_json On the background of these requirements for sensor calibration, intercalibration and product validation, the subgroup on Calibration and Validation of the Committee on Earth Observing System (CEOS) formulated the following recommendation during the plenary session held in China at the end of 2004, with the goal of setting-up and operating an internet based system to provide sensor data, protocols and guidelines for these purposes: Background: Reference Datasets are required to support the understanding of climate change and quality assure operational services by Earth Observing satellites. The data from different sensors and the resulting synergistic data products require a high level of accuracy that can only be obtained through continuous traceable calibration and validation activities. Requirement: Initiate an activity to document a reference methodology to predict Top of Atmosphere (TOA) radiance for which currently flying and planned wide swath sensors can be intercompared, i.e. define a standard for traceability. Also create and maintain a fully accessible web page containing, on an instrument basis, links to all instrument characteristics needed for intercomparisons as specified above, ideally in a common format. In addition, create and maintain a database (e.g. SADE) of instrument data for specific vicarious calibration sites, including site characteristics, in a common format. Each agency is responsible for providing data for their instruments in this common format. Recommendation : The required activities described above should be supported for an implementation period of two years and a maintenance period over two subsequent years. The CEOS should encourage a member agency to accept the lead role in supporting this activity. CEOS should request all member agencies to support this activity by providing appropriate information and data in a timely manner. Pseudo-Invariant Calibration Sites (PICS): Libya 4 is one of six CEOS reference Pseudo-Invariant Calibration Sites (PICS) that are CEOS Reference Test Sites. Besides the nominally good site characteristics (temporal stability, uniformity, homogeneity, etc.), these six PICS were selected by also taking into account their heritage and the large number of datasets from multiple instruments that already existed in the EO archives and the long history of characterization performed over these sites. The PICS have high reflectance and are usually made up of sand dunes with climatologically low aerosol loading and practically no vegetation. Consequently, these PICS can be used to evaluate the long-term stability of instrument and facilitate inter-comparison of multiple instruments. proprietary -CEOS_CalVal_Test_Site-Libya4_Not provided CEOS Cal Val Test Site - Libya 4 - Pseudo-Invariant Calibration Site (PICS) USGS_LTA STAC Catalog 1972-11-16 23.3, 28.45, 23.5, 28.65 https://cmr.earthdata.nasa.gov/search/concepts/C1220566678-USGS_LTA.umm_json On the background of these requirements for sensor calibration, intercalibration and product validation, the subgroup on Calibration and Validation of the Committee on Earth Observing System (CEOS) formulated the following recommendation during the plenary session held in China at the end of 2004, with the goal of setting-up and operating an internet based system to provide sensor data, protocols and guidelines for these purposes: Background: Reference Datasets are required to support the understanding of climate change and quality assure operational services by Earth Observing satellites. The data from different sensors and the resulting synergistic data products require a high level of accuracy that can only be obtained through continuous traceable calibration and validation activities. Requirement: Initiate an activity to document a reference methodology to predict Top of Atmosphere (TOA) radiance for which currently flying and planned wide swath sensors can be intercompared, i.e. define a standard for traceability. Also create and maintain a fully accessible web page containing, on an instrument basis, links to all instrument characteristics needed for intercomparisons as specified above, ideally in a common format. In addition, create and maintain a database (e.g. SADE) of instrument data for specific vicarious calibration sites, including site characteristics, in a common format. Each agency is responsible for providing data for their instruments in this common format. Recommendation : The required activities described above should be supported for an implementation period of two years and a maintenance period over two subsequent years. The CEOS should encourage a member agency to accept the lead role in supporting this activity. CEOS should request all member agencies to support this activity by providing appropriate information and data in a timely manner. Pseudo-Invariant Calibration Sites (PICS): Libya 4 is one of six CEOS reference Pseudo-Invariant Calibration Sites (PICS) that are CEOS Reference Test Sites. Besides the nominally good site characteristics (temporal stability, uniformity, homogeneity, etc.), these six PICS were selected by also taking into account their heritage and the large number of datasets from multiple instruments that already existed in the EO archives and the long history of characterization performed over these sites. The PICS have high reflectance and are usually made up of sand dunes with climatologically low aerosol loading and practically no vegetation. Consequently, these PICS can be used to evaluate the long-term stability of instrument and facilitate inter-comparison of multiple instruments. proprietary -CEOS_CalVal_Test_Site-Mauritania1_Not provided CEOS Cal Val Test Site - Mauritania 1 - Pseudo-Invariant Calibration Site (PICS) USGS_LTA STAC Catalog 1972-09-26 -10.74, 17.74, -7.9, 21.26 https://cmr.earthdata.nasa.gov/search/concepts/C1220566922-USGS_LTA.umm_json On the background of these requirements for sensor calibration, intercalibration and product validation, the subgroup on Calibration and Validation of the Committee on Earth Observing System (CEOS) formulated the following recommendation during the plenary session held in China at the end of 2004, with the goal of setting-up and operating an internet based system to provide sensor data, protocols and guidelines for these purposes: Background: Reference Datasets are required to support the understanding of climate change and quality assure operational services by Earth Observing satellites. The data from different sensors and the resulting synergistic data products require a high level of accuracy that can only be obtained through continuous traceable calibration and validation activities. Requirement: Initiate an activity to document a reference methodology to predict Top of Atmosphere (TOA) radiance for which currently flying and planned wide swath sensors can be intercompared, i.e. define a standard for traceability. Also create and maintain a fully accessible web page containing, on an instrument basis, links to all instrument characteristics needed for intercomparisons as specified above, ideally in a common format. In addition, create and maintain a database (e.g. SADE) of instrument data for specific vicarious calibration sites, including site characteristics, in a common format. Each agency is responsible for providing data for their instruments in this common format. Recommendation : The required activities described above should be supported for an implementation period of two years and a maintenance period over two subsequent years. The CEOS should encourage a member agency to accept the lead role in supporting this activity. CEOS should request all member agencies to support this activity by providing appropriate information and data in a timely manner. Pseudo-Invariant Calibration Sites (PICS): Mauritania 1 is one of six CEOS reference Pseudo-Invariant Calibration Sites (PICS) that are CEOS Reference Test Sites. Besides the nominally good site characteristics (temporal stability, uniformity, homogeneity, etc.), these six PICS were selected by also taking into account their heritage and the large number of datasets from multiple instruments that already existed in the EO archives and the long history of characterization performed over these sites. The PICS have high reflectance and are usually made up of sand dunes with climatologically low aerosol loading and practically no vegetation. Consequently, these PICS can be used to evaluate the long-term stability of instrument and facilitate inter-comparison of multiple instruments. proprietary -CEOS_CalVal_Test_Sites-Algeria3_Not provided CEOS Cal Val Test Site - Algeria 3 - Pseudo-Invariant Calibration Site (PICS) USGS_LTA STAC Catalog 1972-08-11 5.22, 29.09, 10.01, 31.36 https://cmr.earthdata.nasa.gov/search/concepts/C1220567099-USGS_LTA.umm_json On the background of these requirements for sensor calibration, intercalibration and product validation, the subgroup on Calibration and Validation of the Committee on Earth Observing System (CEOS) formulated the following recommendation during the plenary session held in China at the end of 2004, with the goal of setting-up and operating an internet based system to provide sensor data, protocols and guidelines for these purposes: Background: Reference Datasets are required to support the understanding of climate change and quality assure operational services by Earth Observing satellites. The data from different sensors and the resulting synergistic data products require a high level of accuracy that can only be obtained through continuous traceable calibration and validation activities. Requirement: Initiate an activity to document a reference methodology to predict Top of Atmosphere (TOA) radiance for which currently flying and planned wide swath sensors can be intercompared, i.e. define a standard for traceability. Also create and maintain a fully accessible web page containing, on an instrument basis, links to all instrument characteristics needed for intercomparisons as specified above, ideally in a common format. In addition, create and maintain a database (e.g. SADE) of instrument data for specific vicarious calibration sites, including site characteristics, in a common format. Each agency is responsible for providing data for their instruments in this common format. Recommendation : The required activities described above should be supported for an implementation period of two years and a maintenance period over two subsequent years. The CEOS should encourage a member agency to accept the lead role in supporting this activity. CEOS should request all member agencies to support this activity by providing appropriate information and data in a timely manner. Pseudo-Invariant Calibration Sites (PICS): Algeria 3 is one of six CEOS reference Pseudo-Invariant Calibration Sites (PICS) that are CEOS Reference Test Sites. Besides the nominally good site characteristics (temporal stability, uniformity, homogeneity, etc.), these six PICS were selected by also taking into account their heritage and the large number of datasets from multiple instruments that already existed in the EO archives and the long history of characterization performed over these sites. The PICS have high reflectance and are usually made up of sand dunes with climatologically low aerosol loading and practically no vegetation. Consequently, these PICS can be used to evaluate the long-term stability of instrument and facilitate inter-comparison of multiple instruments. proprietary -CEOS_CalVal_Test_Sites-Algeria5_Not provided CEOS Cal Val Test Site - Algeria 5 - Pseudo-Invariant Calibration Site (PICS) USGS_LTA STAC Catalog 1972-08-15 -1.32, 29.24, 4.24, 32.79 https://cmr.earthdata.nasa.gov/search/concepts/C1220567104-USGS_LTA.umm_json On the background of these requirements for sensor calibration, intercalibration and product validation, the subgroup on Calibration and Validation of the Committee on Earth Observing System (CEOS) formulated the following recommendation during the plenary session held in China at the end of 2004, with the goal of setting-up and operating an internet based system to provide sensor data, protocols and guidelines for these purposes: Background: Reference Datasets are required to support the understanding of climate change and quality assure operational services by Earth Observing satellites. The data from different sensors and the resulting synergistic data products require a high level of accuracy that can only be obtained through continuous traceable calibration and validation activities. Requirement: Initiate an activity to document a reference methodology to predict Top of Atmosphere (TOA) radiance for which currently flying and planned wide swath sensors can be intercompared, i.e. define a standard for traceability. Also create and maintain a fully accessible web page containing, on an instrument basis, links to all instrument characteristics needed for intercomparisons as specified above, ideally in a common format. In addition, create and maintain a database (e.g. SADE) of instrument data for specific vicarious calibration sites, including site characteristics, in a common format. Each agency is responsible for providing data for their instruments in this common format. Recommendation : The required activities described above should be supported for an implementation period of two years and a maintenance period over two subsequent years. The CEOS should encourage a member agency to accept the lead role in supporting this activity. CEOS should request all member agencies to support this activity by providing appropriate information and data in a timely manner. Pseudo-Invariant Calibration Sites (PICS): Algeria 5 is one of six CEOS reference Pseudo-Invariant Calibration Sites (PICS) that are CEOS Reference Test Sites. Besides the nominally good site characteristics (temporal stability, uniformity, homogeneity, etc.), these six PICS were selected by also taking into account their heritage and the large number of datasets from multiple instruments that already existed in the EO archives and the long history of characterization performed over these sites. The PICS have high reflectance and are usually made up of sand dunes with climatologically low aerosol loading and practically no vegetation. Consequently, these PICS can be used to evaluate the long-term stability of instrument and facilitate inter-comparison of multiple instruments. proprietary -CEOS_CalVal_Test_Sites-Mauritania2_Not provided CEOS Cal Val Test Site - Mauritania 2 - Pseudo-Invariant Calibration Site (PICS) USGS_LTA STAC Catalog 1972-09-26 -10.42, 18.92, -7.52, 22.67 https://cmr.earthdata.nasa.gov/search/concepts/C1220566953-USGS_LTA.umm_json On the background of these requirements for sensor calibration, intercalibration and product validation, the subgroup on Calibration and Validation of the Committee on Earth Observing System (CEOS) formulated the following recommendation during the plenary session held in China at the end of 2004, with the goal of setting-up and operating an internet based system to provide sensor data, protocols and guidelines for these purposes: Background: Reference Datasets are required to support the understanding of climate change and quality assure operational services by Earth Observing satellites. The data from different sensors and the resulting synergistic data products require a high level of accuracy that can only be obtained through continuous traceable calibration and validation activities. Requirement: Initiate an activity to document a reference methodology to predict Top of Atmosphere (TOA) radiance for which currently flying and planned wide swath sensors can be intercompared, i.e. define a standard for traceability. Also create and maintain a fully accessible web page containing, on an instrument basis, links to all instrument characteristics needed for intercomparisons as specified above, ideally in a common format. In addition, create and maintain a database (e.g. SADE) of instrument data for specific vicarious calibration sites, including site characteristics, in a common format. Each agency is responsible for providing data for their instruments in this common format. Recommendation : The required activities described above should be supported for an implementation period of two years and a maintenance period over two subsequent years. The CEOS should encourage a member agency to accept the lead role in supporting this activity. CEOS should request all member agencies to support this activity by providing appropriate information and data in a timely manner. Pseudo-Invariant Calibration Sites (PICS): Mauritania 2 is one of six CEOS reference Pseudo-Invariant Calibration Sites (PICS) that are CEOS Reference Test Sites. Besides the nominally good site characteristics (temporal stability, uniformity, homogeneity, etc.), these six PICS were selected by also taking into account their heritage and the large number of datasets from multiple instruments that already existed in the EO archives and the long history of characterization performed over these sites. The PICS have high reflectance and are usually made up of sand dunes with climatologically low aerosol loading and practically no vegetation. Consequently, these PICS can be used to evaluate the long-term stability of instrument and facilitate inter-comparison of multiple instruments. proprietary -CIESIN_SEDAC_ANTHROMES_v1_1.00 Anthropogenic Biomes of the World, Version 1 SEDAC STAC Catalog 2001-01-01 2006-12-31 -180, -55.750001, 180, 83.083332 https://cmr.earthdata.nasa.gov/search/concepts/C179002107-SEDAC.umm_json "The Anthropogenic Biomes of the World, Version 1 data set describes globally-significant ecological patterns within the terrestrial biosphere caused by sustained direct human interaction with ecosystems, including agriculture, urbanization, forestry and other land uses. Conventional biomes, such as tropical rainforests or grasslands, are based on global vegetation patterns related to climate. Now that humans have fundamentally altered global patterns of ecosystem form, process, and biodiversity, anthropogenic biomes provide a contemporary view of the terrestrial biosphere in its human-altered form. Anthropogenic biomes may also be termed ""anthromes"" to distinguish them from conventional biome systems, or ""human biomes"" (a simpler but less precise term). This data set is distributed by the Columbia University Center for International Earth Science Information Network (CIESIN)." proprietary -CIESIN_SEDAC_ANTHROMES_v2_1700_2.00 Anthropogenic Biomes of the World, Version 2: 1700 SEDAC STAC Catalog 1700-01-01 1700-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000000280-SEDAC.umm_json The Anthropogenic Biomes of the World, Version 2: 1700 data set describes anthropogenic transformations within the terrestrial biosphere caused by sustained direct human interaction with ecosystems, including agriculture and urbanization circa 1700. Potential natural vegetation biomes, such as tropical rainforests or grasslands, are based on global vegetation patterns related to climate and geology. Anthropogenic transformation within each biome is approximated using population density, agricultural intensity (cropland and pasture) and urbanization. This data set is part of a time series for the years 1700, 1800, 1900, and 2000 that provides global patterns of historical transformation of the terrestrial biosphere during the Industrial Revolution. proprietary -CIESIN_SEDAC_AQDH_PM25COM_US_1KM_1.00 Annual Mean PM2.5 Components (EC, NH4, NO3, OC, SO4) 50m Urban and 1km Non-Urban Area Grids for Contiguous U.S., 2000-2019 v1 SEDAC STAC Catalog 2000-01-01 2019-12-31 -180, 17, -65, 72 https://cmr.earthdata.nasa.gov/search/concepts/C2673736502-SEDAC.umm_json The Annual Mean PM2.5 Components (EC, NH4, NO3, OC, SO4) 50m Urban and 1km Non-Urban Area Grids for Contiguous U.S., 2000-2019, v1 data set contains annual predictions of the chemical concentrations at a hyper resolution (50m x 50m grid cells) in urban areas and at a high resolution (1km x 1km grid cells) in non-urban areas for the years 2000 to 2019. Particulate matter with an aerodynamic diameter less than 2.5 �m (PM2.5) increases mortality and morbidity. PM2.5 is composed of a mixture of chemical components that vary across space and time. Due to limited hyperlocal data availability, less is known about health risks of PM2.5 components, their U.S.-wide exposure disparities, or which species are driving the biggest intra-urban changes in PM2.5 mass. The national super-learned models were developed across the U.S. for hyperlocal estimation of annual mean elemental carbon, ammonium, nitrate, organic carbon, and sulfate concentrations across 3,535 urban areas at a 50m spatial resolution, and at a 1km resolution for non-urban areas from 2000 to 2019. Using Machine-Learning models (ML), combined with either a Generalized Additive Model (GAM) Ensemble Geographically-Weighted-Averaging (GAM-ENWA) or Super-Learning (SL) and approximately 82 billion predictions across 20 years, hyperlocal super-learned PM2.5 components are now available for further research. The overall R-squared values of 10-fold cross validated models ranged from 0.910 to 0.970 on the training sets for these components, while on the test sets the R-squared values ranged from 0.860 to 0.960. Remarkable spatiotemporal intra-urban and inter-urban variabilities were found in PM2.5 components. The Coordinate Reference System (CRS) for predictions is the World Geodetic System 1984 (WGS84) and the Units for the PM2.5 Components are �g/m^3. The data are provided in RDS tabular format, a file format native to the R programming language, but can also be opened by other languages such as Python. proprietary -CIESIN_SEDAC_AQDH_TRACE_US_1KM_1.00 Annual Mean PM2.5 Components Trace Elements (TEs) 50m Urban and 1km Non-Urban Area Grids for Contiguous U.S., 2000-2019, v1 SEDAC STAC Catalog 2000-01-01 2019-12-31 -180, 17, -65, 72 https://cmr.earthdata.nasa.gov/search/concepts/C2673738199-SEDAC.umm_json The Annual Mean PM2.5 Components Trace Elements (TEs) 50m Urban and 1km Non-Urban Area Grids for Contiguous U.S., 2000-2019, v1 data set contains annual predictions of trace elements concentrations at a hyper resolution (50m x 50m grid cells) in urban areas and a high resolution (1km x 1km grid cells) in non-urban areas, for the years 2000 to 2019. Particulate matter with an aerodynamic diameter of less than 2.5 �m (PM2.5) is a human silent killer of millions worldwide, and contains many trace elements (TEs). Understanding the relative toxicity is largely limited by the lack of data. In this work, ensembles of machine learning models were used to generate approximately 163 billion predictions estimating annual mean PM2.5 TEs, namely Bromine (Br), Calcium (Ca), Copper (Cu), Iron (Fe), Potassium (K), Nickel (Ni), Lead (Pb), Silicon (Si), Vanadium (V), and Zinc (Zn). The monitored data from approximately 600 locations were integrated with more than 160 predictors, such as time and location, satellite observations, composite predictors, meteorological covariates, and many novel land use variables using several machine learning algorithms and ensemble methods. Multiple machine-learning models were developed covering urban areas and non-urban areas. Their predictions were then ensembled using either a Generalized Additive Model (GAM) Ensemble Geographically-Weighted-Averaging (GAM-ENWA), or Super-Learners. The overall best model R-squared values for the test sets ranged from 0.79 for Copper to 0.88 for Zinc in non-urban areas. In urban areas, the R-squared model values ranged from 0.80 for Copper to 0.88 for Zinc. The Coordinate Reference System (CRS) used in the predictions is the World Geodetic System 1984 (WGS84) and the Units for the PM2.5 Components TEs are ng/m^3. The data are provided in RDS tabular format, a file format native to the R programming language, but can also be opened by other languages such as Python. proprietary -CIESIN_SEDAC_DEDC_ACE_V2_2.00 Altimeter Corrected Elevations, Version 2 (ACE2) SEDAC STAC Catalog 1994-01-01 2005-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1603439745-SEDAC.umm_json The Altimeter Corrected Elevations, Version 2 (ACE2) data set, is the Global Digital Elevation Model (GDEM) created by using multi-mission Satellite Radar Altimetry with the Shuttle Radar Topography Mission (SRTM). It was created by synergistically merging the SRTM data set with Satellite Radar Altimetry within the region bounded by 60�N and 60�S. Over the areas lying outside the SRTM latitude limits, other sources have been used including Global Observations to Benefit the Environment (GLOBE) and the original Altimeter Corrected Elevations (ACE) Digital Elevation Model (DEM), together with new matrices derived from reprocessing the European Remote Sensing (ERS-1) Geodetic Mission data set with an enhanced re-tracking system, and the inclusion of data from other satellites. ACE2 was developed at resolutions of 3, 9 and 30 arc-seconds, and 5 arc-minutes. The data are distributed in little-endian format as 15 degree by 15 degree tiles, with the file name referring to the southwestern edge of the southwestern most pixel. proprietary -CIESIN_SEDAC_EPI_2008_2008.00 2008 Environmental Performance Index (EPI) SEDAC STAC Catalog 1994-01-01 2007-12-31 -180, -55, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C179001707-SEDAC.umm_json The 2008 Environmental Performance Index (EPI) centers on two broad environmental protection objectives: (1) reducing environmental stresses on human health, and (2) promoting ecosystem vitality and sound natural resource management. Derived from a careful review of the environmental literature, these twin goals mirror the priorities expressed by policymakers. Environmental health and ecosystem vitality are gauged using 25 indicators tracked in six well-established policy categories: Environmental Health (Environmental Burden of Disease, Water, and Air Pollution), Air Pollution (effects on ecosystems), Water (effects on ecosystems), Biodiversity and Habitat, Productive Natural Resources (Forestry, Fisheries, and Agriculture), and Climate Change. The 2008 EPI utilizes a proximity-to-target methodology in which performance on each indicator is rated on a 0 to 100 scale (100 represents �at target�). By identifying specific targets and measuring how close each country comes to them, the EPI provides a foundation for policy analysis and a context for evaluating performance. Issue-by-issue and aggregate rankings facilitate cross-country comparisons both globally and within relevant peer groups. The 2008 EPI is the result of collaboration among the Yale Center for Environmental Law and Policy (YCELP), Columbia University Center for International Earth Science Information Network (CIESIN), World Economic Forum (WEF), and the Joint Research Centre (JRC), European Commission. proprietary -CIESIN_SEDAC_EPI_2010_2010.00 2010 Environmental Performance Index (EPI) SEDAC STAC Catalog 1994-01-01 2009-12-31 -180, -55, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C179002147-SEDAC.umm_json The 2010 Environmental Performance Index (EPI) ranks 163 countries on environmental performance based on twenty-five indicators grouped within ten core policy categories addressing environmental health, air quality, water resource management, biodiversity and habitat, forestry, fisheries, agriculture, and climate change in the context of two broad objectives: environmental health and ecosystem vitality. The EPI�s proximity-to-target methodology facilitates cross-country comparisons among economic and regional peer groups. It was formally released in Davos, Switzerland, at the annual meeting of the World Economic Forum on January 28, 2010. The 2010 EPI is the result of collaboration between the Yale Center for Environmental Law and Policy (YCELP) and the Columbia University Center for International Earth Science Information Network (CIESIN). proprietary -CIESIN_SEDAC_EPI_2012_2012.00 2012 Environmental Performance Index and Pilot Trend Environmental Performance Index SEDAC STAC Catalog 2000-01-01 2010-12-31 -180, -55, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000000000-SEDAC.umm_json The 2012 Environmental Performance Index (EPI) ranks 132 countries on 22 performance indicators in the following 10 policy categories: environmental burden of disease, water (effects on human health), air pollution (effects on human health), air pollution (ecosystem effects), water resources (ecosystem effects), biodiversity and habitat, forestry, fisheries, agriculture and climate change. These categories track performance and progress on two broad policy objectives, environmental health and ecosystem vitality. Each indicator has an associated environmental public health or ecosystem sustainability target. The EPI's proximity-to-target methodology facilitates cross-country comparisons among economic and regional peer groups. The Pilot Trend Environmental Performance Index (Trend EPI) ranks countries on the change in their environmental performance over the last decade. As a complement to the EPI, the Trend EPI shows who is improving and who is declining over time. The 2012 EPI and Pilot Trend EPI were formally released in Davos, Switzerland, at the annual meeting of the World Economic Forum on January 27, 2012. These are the result of collaboration between the Yale Center for Environmental Law and Policy (YCELP) and the Columbia University Center for International Earth Science Information Network (CIESIN). The Interactive Website for the 2012 EPI is at http://epi.yale.edu/. proprietary -CIESIN_SEDAC_EPI_2014_2014.00 2014 Environmental Performance Index (EPI) SEDAC STAC Catalog 2002-01-01 2014-12-31 -180, -55, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000000541-SEDAC.umm_json The 2014 Environmental Performance Index (EPI) ranks 178 countries on 20 performance indicators in the following 9 policy categories: health impacts, air quality, water and sanitation, water resources, agriculture, forests, fisheries, biodiversity and habitat, and climate and energy. These categories track performance and progress on two broad policy objectives, environmental health and ecosystem vitality. The EPI's proximity-to-target methodology facilitates cross-country comparisons among economic and regional peer groups. The data set includes the 2014 EPI and component scores, backcast EPI scores for 2002-2012, and time-series source data. The 2014 EPI was formally released in Davos, Switzerland, at the annual meeting of the World Economic Forum on January 25, 2014. These are the result of collaboration between the Yale Center for Environmental Law and Policy (YCELP) and the Columbia University Center for International Earth Science Information Network (CIESIN). The Interactive Website for the 2014 EPI is at http://epi.yale.edu/. proprietary -CIESIN_SEDAC_EPI_2016_2016.00 2016 Environmental Performance Index (EPI) SEDAC STAC Catalog 1950-01-01 2016-12-31 -180, -55, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1419908204-SEDAC.umm_json The 2016 Environmental Performance Index (EPI) ranks 180 countries on 20 performance indicators in the following 9 policy categories: health impacts, air quality, water and sanitation, water resources, agriculture, forests, fisheries, biodiversity and habitat, and climate and energy. These categories track performance and progress on two broad policy objectives, environmental health and ecosystem vitality. The EPI's proximity-to-target methodology facilitates cross-country comparisons among economic and regional peer groups. The data set includes the 2016 EPI and component scores, backcast EPI scores for 1950-2016, and time-series source data. The 2016 EPI was formally released in Davos, Switzerland, at the annual meeting of the World Economic Forum on January 23, 2016. These are the result of collaboration between the Yale Center for Environmental Law and Policy (YCELP) and Yale Data-Driven Environmental Solutions Group, Yale University, Columbia University Center for International Earth Science Information Network (CIESIN), and the World Economic Forum (WEF). The Interactive Website for the 2016 EPI is at https://epi.yale.edu. proprietary -CIESIN_SEDAC_EPI_2018_2018.00 2018 Environmental Performance Index (EPI) SEDAC STAC Catalog 1950-01-01 2018-12-31 -180, -55, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1604900383-SEDAC.umm_json The 2018 Environmental Performance Index (EPI) ranks 180 countries on 24 performance indicators in the following 10 issue categories: air quality, water and sanitation, heavy metals, biodiversity and habitat, forests, fisheries, climate and energy, air pollution, water resources, and agriculture. These categories track performance and progress on two broad policy objectives, environmental health and ecosystem vitality. The EPI's proximity-to-target methodology facilitates cross-country comparisons among economic and regional peer groups. The data set includes the 2018 EPI, component scores, and time-series source data. The 2018 EPI was formally released in Davos, Switzerland, at the annual meeting of the World Economic Forum in January 2018. It is the result of collaboration of the Yale Center for Environmental Law and Policy (YCELP), Yale University, Columbia University Center for International Earth Science Information Network (CIESIN), and the World Economic Forum (WEF). The Interactive Website for the 2018 EPI is at https://epi.envirocenter.yale.edu/. proprietary -CIESIN_SEDAC_EPI_2020_2020.00 2020 Environmental Performance Index (EPI) SEDAC STAC Catalog 1950-01-01 2020-12-31 -180, -55, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2000613920-SEDAC.umm_json The 2020 Environmental Performance Index (EPI) ranks 180 countries on 32 performance indicators in the following 11 issue categories: air quality, sanitation and drinking water, heavy metals, waste management, biodiversity and habitat, ecosystem services, fisheries, climate change, pollution emissions, agriculture, and water resources. These categories track performance and progress on two broad policy objectives, environmental health and ecosystem vitality. The EPI's proximity-to-target methodology facilitates cross-country comparisons among economic and regional peer groups. The data set includes the 2020 EPI, component scores, and time-series source data. It is the result of a collaboration of the Yale Center for Environmental Law and Policy (YCELP), Yale University, and the Columbia University Center for International Earth Science Information Network (CIESIN). The Interactive Website for the 2020 EPI is at https://epi.yale.edu/. proprietary -CIESIN_SEDAC_EPI_2022_2022.00 2022 Environmental Performance Index (EPI) SEDAC STAC Catalog 1950-01-01 2022-12-31 -180, -55, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2586824658-SEDAC.umm_json The 2022 Environmental Performance Index (EPI) ranks 180 countries on 40 performance indicators in the following 11 issue categories: air quality, sanitation and drinking water, heavy metals, waste management, biodiversity and habitat, ecosystem services, fisheries, acid rain, agriculture, water resources, and climate change mitigation. These categories track performance and progress on three broad policy objectives, environmental health, ecosystem vitality, and climate change. The EPI's proximity-to-target methodology facilitates cross-country comparisons among economic and regional peer groups. The data set includes the 2022 EPI, component scores, and time-series source data. It is the result of a collaboration of the Yale Center for Environmental Law and Policy (YCELP), Yale University, and the Columbia University Center for International Earth Science Information Network (CIESIN). proprietary -CIESIN_SEDAC_ESI_2000_2000.00 2000 Pilot Environmental Sustainability Index (ESI) SEDAC STAC Catalog 1978-01-01 1999-12-31 -180, -55, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C179001887-SEDAC.umm_json The 2000 Pilot Environmental Sustainability Index (ESI) is an exploratory effort to construct an index that measures the ability of a nation's economy to achieve sustainable development, with the long term goal of finding a single indicator for environmental sustainability analagous to that of the Gross Domestic Product (GDP). The index covering 56 countries is a composite measure of the current status of a nation's environmental systems, pressures on those systems, human vulnerability to environmental change, national capacity to respond, and contributions to global environmental stewardship. The index was unveiled at the World Economic Forum's annual meeting, January 2000, Davos, Switzerland. The 2000 Pilot ESI is the result of collaboration among the World Economic Forum (WEF), Yale Center for Environmental Law and Policy (YCELP), and the Columbia University Center for International Earth Science Information Network (CIESIN). proprietary -CIESIN_SEDAC_ESI_2001_2001.00 2001 Environmental Sustainability Index (ESI) SEDAC STAC Catalog 1980-01-01 2000-12-31 -180, -55, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000000220-SEDAC.umm_json The 2001 Environmental Sustainability Index (ESI) utilizes a refined methodology based on the 2000 Pilot ESI effort, to construct an index covering 122 countries that measures the overall progress towards environmental sustainability. The index is a composite measure of the current status of a nation's environmental systems, pressures on those systems, human vulnerability to environmental change, national capacity to respond, and contributions to global environmental stewardship. The refinements included the addition and deletion of indicators, filling gaps in data coverage, new data sets, and the modification of the aggregation scheme. The index was unveiled at the World Economic Forum's annual meeting, January 2001, Davos, Switzerland. The 2001 ESI is the result of collaboration among the World Economic Forum (WEF), Yale Center for Environmental Law and Policy (YCELP), and the Columbia University Center for International Earth Science Information Network (CIESIN). proprietary -CIESIN_SEDAC_ESI_2002_2002.00 2002 Environmental Sustainability Index (ESI) SEDAC STAC Catalog 1980-01-01 2000-12-31 -180, -55, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C179001967-SEDAC.umm_json The 2002 Environmental Sustainability Index (ESI) measures overall progress toward environmental sustainability for 142 countries based on environmental systems, stresses, human vulnerability, social and institutional capacity and global stewardship. The addition of a climate change indicator, reduction in number of capacity indicators, and an improved imputation methodology contributed to an improvement from the 2001 ESI. The index was unveiled at the World Economic Forum's annual meeting, January 2002, New York. The 2002 ESI is the result of collaboration among the World Economic Forum (WEF), Yale Center for Environmental Law and Policy (YCELP), and the Columbia University Center for International Earth Science Information Network (CIESIN). proprietary -CIESIN_SEDAC_ESI_2005_2005.00 2005 Environmental Sustainability Index (ESI) SEDAC STAC Catalog 1980-01-01 2000-12-31 -180, -55, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C179001889-SEDAC.umm_json The 2005 Environmental Sustainability Index (ESI) is a measure of overall progress towards environmental sustainability, developed for 146 countries. The index provides a composite profile of national environmental stewardship based on a compilation of 21 indicators derived from 76 underlying data sets. The 2005 version of the ESI represents a significant update and improvement on earlier versions; the country ESI scores or rankings should not be compared to earlier versions because of changes to the methodology and underlying data. The index was unveiled at the World Economic Forum's annual meeting, January 2005, Davos, Switzerland. The 2005 ESI is a joint product of the Yale Center for Environmental Law and Policy (YCELP) and the Columbia University Center for International Earth Science Information Network (CIESIN), in collaboration with the World Economic Forum (WEF) and the Joint Research Centre (JRC), European Commission. proprietary -CIESIN_SEDAC_SDEI_APM25_URBAN_1.00 Annual PM2.5 Concentrations for Countries and Urban Areas, 1998-2016 SEDAC STAC Catalog 1998-01-01 2016-12-31 -180, -54.85, 180, 69.85 https://cmr.earthdata.nasa.gov/search/concepts/C2038014399-SEDAC.umm_json The Annual PM2.5 Concentrations for Countries and Urban Areas, 1998-2016, consists of mean concentrations of particulate matter (PM2.5) for countries and urban areas. The PM2.5 data are from the Global Annual PM2.5 Grids from MODIS, MISR and SeaWiFS Aerosol Optical Depth (AOD) with GWR, 1998-2016. The urban areas are from the Global Rural-Urban Mapping Project, Version 1 (GRUMPv1): Urban Extent Polygons, Revision 02, and its time series runs from 1998 to 2016. The country averages are population-weighted such that concentrations in populated areas count more toward the country average than concentrations in less populated areas, and its time series runs from 2008 to 2015. proprietary -CIESIN_SEDAC_SDEI_GEHE_1.00 Annual Global High-Resolution Extreme Heat Estimates (GEHE), 1983-2016 SEDAC STAC Catalog 1983-01-01 2016-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2748860893-SEDAC.umm_json The Annual Global High-Resolution Extreme Heat Estimates (GEHE), 1983-2016 data set provides global 0.05 degrees (~5 km) gridded annual counts of the number of days where the maximum Wet Bulb Globe Temperature (WBGTmax) exceeded dangerous hot-humid heat thresholds for the period 1983 to 2016. The thresholds are based on the International Standards Organization (ISO) criteria for occupational heat-related risk, defined as days where WBGTmax > 28, 30, and 32 degrees Celsius. This data set also includes the annual rate of change in the number of extreme humid-heat days that exceeded these thresholds. GEHE has a wide array of applications for mapping and quantifying extreme humid-heat dynamics over a 34-year time period, and is the highest resolution data set of its kind to date. GEHE provides scientific researchers and decision makers from a wide range of arenas, including climate change, public and occupational health, urban planning and design, hazards risk reduction, and food security, insights into how humid-heat has impacted human and environmental systems worldwide. The data set can be used to pinpoint how changes in extreme humid-heat impact human health and well-being, as well as ecological systems, across scales of analysis, from local, to national, to global. proprietary -CIESIN_SEDAC_USPAT_USUEXT2015_1.00 2015 Urban Extents from VIIRS and MODIS for the Continental U.S. Using Machine Learning Methods SEDAC STAC Catalog 2015-01-01 2015-12-31 -180, -56, 180, 84 https://cmr.earthdata.nasa.gov/search/concepts/C1648035940-SEDAC.umm_json The 2015 Urban Extents from VIIRS and MODIS for the Continental U.S. Using Machine Learning Methods data set models urban settlements in the Continental United States (CONUS) as of 2015. When applied to the combination of daytime spectral and nighttime lights satellite data, the machine learning methods achieved high accuracy at an intermediate-resolution of 500 meters at large spatial scales. The input data for these models were two types of satellite imagery: Visible Infrared Imaging Radiometer Suite (VIIRS) Nighttime Light (NTL) data from the Day/Night Band (DNB), and Moderate Resolution Imaging Spectroradiometer (MODIS) corrected daytime Normalized Difference Vegetation Index (NDVI). Although several machine learning methods were evaluated, including Random Forest (RF), Gradient Boosting Machine (GBM), Neural Network (NN), and the Ensemble of RF, GBM, and NN (ESB), the highest accuracy results were achieved with NN, and those results were used to delineate the urban extents in this data set. proprietary CLDMSK_L2_VIIRS_NOAA20_NRT_1 VIIRS/NOAA-20 Cloud Mask L2 6-Min Swath 750m (NRT) ASIPS STAC Catalog 2020-10-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2003160566-ASIPS.umm_json The NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) NASA Level-2 (L2) Cloud Mask is one of two continuity products designed to sustain the long-term records of both Moderate Resolution Imaging Spectroradiometer (MODIS) and VIIRS heritages. CLDMSK_L2_VIIRS_NOAA20_NRT is the shortname for the NOAA-20 VIIRS Near Real-time incarnation of the Cloud Mask continuity product derived from the MODIS-VIIRS cloud mask (MVCM) algorithm, which itself is based on the MODIS (MOD35) algorithm. MVCM describes a continuity algorithm that is central to both MODIS data (from Terra and Aqua missions) and VIIRS data (from SNPP and Joint Polar Satellite System missions). Please bear in mind that the term MVCM does not appear as an attribute within the product’s metadata. Implemented to consistently handle MODIS and VIIRS inputs, the NOAA-20 VIIRS collection-1 products use calibration-adjusted NASA VIIRS L1B as inputs. The nominal spatial resolution of the NOAA-20 VIIRS L2 Cloud mask is 750 meters. proprietary CLDMSK_L2_VIIRS_SNPP_NRT_1 VIIRS/SNPP Cloud Mask L2 6-Min Swath 750m (NRT) ASIPS STAC Catalog 2019-04-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1607563719-ASIPS.umm_json The Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) NASA Level-2 (L2) Cloud Mask is one of two continuity products designed to sustain the long-term records of both Moderate Resolution Imaging Spectroradiometer (MODIS) and VIIRS heritages. CLDMSK_L2_VIIRS_SNPP is the shortname for the SNPP VIIRS incarnation of the Cloud Mask continuity product derived from the MODIS-VIIRS cloud mask (MVCM) algorithm, which itself is based on the MODIS (MOD35) algorithm. MVCM describes a continuity algorithm that is central to both MODIS data (from Terra and Aqua missions) and VIIRS data (from SNPP and Joint Polar Satellite System missions). Please bear in mind that the term MVCM does not appear as an attribute within the product’s metadata. Implemented to consistently handle MODIS and VIIRS inputs, the SNPP VIIRS collection-1 products use calibration-adjusted NASA VIIRS L1B as inputs. The nominal spatial resolution of the SNPP VIIRS L2 Cloud mask is 750 meters. proprietary -COARE_cm_er2.mas_1 MODIS Airborne Simulator (MAS) Measurements Taken Onboard the NASA ER-2 During the TOGA COARE Intensive Observing Period. LAADS STAC Catalog 1993-01-03 1993-03-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1625703857-LAADS.umm_json The MODIS Airborne Simulator (MAS) Measurements, taken onboard the NASA ER-2 during the TOGA COARE Intensive Observing Period, are available upon request from NASA LAADS. Browse products are available at https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/mas/. The ER-2 navigation data are available from the same site in sub directory nasa_er2/nav. Browse imagery of the data may be viewed from the MAS Homepage at: https://mas.arc.nasa.gov/data/deploy_html/toga_home.html. MAS Level 1B data are available on 8500 density 8mm tape from TOGA COARE User Services at the Goddard DAAC. Each tape contains all the flight lines for one MAS flight (one day). The number of flight lines varies, but is generally between 10 and 20. The volume of data varies, but is generally 1 to 3 gigabytes per flight. Detailed instructions for reading MAS tapes is contained in MAS_Usr_Guide.ps. To obtain the data on tape, contact the DAAC User Services Office. For help with NASA TOGA COARE data residing at the GSFC DAAC, contact Pat Hrubiak at hrubiak@daac.gsfc.nasa.gov. BACK GROUND: TOGA COARE was a multidisciplinary, international research effort that investigated the scientific phenomena associated with the interaction between the atmosphere and the ocean in the warm pool region of the western Pacific. The field experiment phase of the program took place from 1 November 1992 through 28 February 1993 and involved the deployment of oceanographic ships and buoys, several ship and land based Doppler radars, multiple low and high level aircraft equipped with Doppler radar and other airborne sensors, as well as a variety of surface based instruments for in situ observations. The NASA component of TOGA COARE, while contributing directly to over all COARE objectives, emphasized scientific objectives associated with the Tropical Rainfall Measuring Mission (TRMM) and NASA's cloud and radiation program. AIRCRAFT INFORMATION: The NASA ER-2 is a high altitude, single pilot aircraft based at Ames Research Center, Moffett Field, CA, and deployed globally in support of a variety of atmospheric research projects. It has a maximum altitude of 70,000 feet (21 km), a range of 3000 nautical miles, a maximum flight duration of 8 hours (nominal 6.5 hours) and a top speed of 410 knots true air speed. The aircraft accommodates about 2700 pounds (1200 kg) of payload. For the TOGA COARE campaign, the ER-2 payload consisted of a variety of radiometers, a lidar, a conductivity probe and a camera. FLIGHT INFORMATION: The following table relates MAS data files to ER-2 and DC-8 flight numbers and to the UTC dates for the 13 mission flights of the NASA/TOGA COARE campaign and 2 additional flights of the ER-2 on which MAS data was acquired. The objectives (Obj) column is included for the convenience of the user; the mission objective defaulted to radiation (Rad) unless convection (Con) was forecast in the target area. Date (UTC) ER-2 Flight DC-8 Flight MAS TapeID Obj-Jan 11-12 93-053 93-01-06 93-053 RadJan 17-18 93-054 93-01-07 93-054 Con Jan 18-19 93-055 93-01-08 93-055 Con Jan 25-26 93-056 93-01-09 93-056 RadJan 28-29 93-057 93-057 Jan 31-Feb 1 93-058 93-01-10 93-058 Rad Feb 2 93-059 93-059 Feb 4 93-060 93-01-11 93-060 Con Feb 6 93-01-12 Con Feb 7 93-061 93-061 Feb 8-9 93-062 93-01-13 93-062 Con Feb 10-11 93-063 93-01-14 93-063 Con Feb 17-18 93-01-15 93-064 Con Feb 19-20 93-064 93-064 Feb 20-21 93-065 93-01-16 93-065 Con Feb 22-23 93-066 93-01-17 Con Feb 23-24 93-067 93-01-18 Rad. INSTRUMENT INFORMATION: The MODIS Airborne Simulator is a visible/infrared imaging radiometer that was mounted, for this campaign, in the right aft wing pod of the ER-2 aircraft. Through cross track scanning to the aircraft direction of flight, the MAS instrument builds a continuous sequence image of the atmosphere surface features under the aircraft. Wavelength channels of the instrument are selected for specific cloud and surface remote sensing applications. Also the channels are those which will be incorporated in measurements by the space borne MODIS instrument. The MAS instrument acquires eleven simultaneous wavelengths with 100 meters or better resolution at the surface. Principles of Operation: The MAS Spectrometer acquires high spatial resolution imagery in the wavelength range 0.55 to 14.3 microns. A total of 50 spectral bands are available in this range, and currently the digitize is configured before each mission to record in any 12 of these bands during flight. For all pre-1994 MAS missions, the 12-channel digitize was configured with four 10-bit channels and seven 8-bit channels. The MAS spectrometer is mated to a scanner sub-assembly which collects image data with an IFOV of 2.5 mrad, giving a ground resolution of 50 meters from 20,000 meters altitude,and a cross track scan width of 85.92 degrees. A 50 channel digitizer which records all 50 spectral bands at 12 bit resolution became operational in January 1995. DATA ORGANIZATION Data Format: The archive tapes are created by writing each output data file (1 straight-line flight track) to tape in fixed-length blocks of 16384 bytes, in time ascending order. One end-of-file (EOF) mark is written at the end of the data blocks for each file, and an extra EOF is written at the end of the data on the tape. The last block of each file has good data at the start of the block and unused bytes (filled with null characters) at the end. Information on the length of the file is encoded in the header when the file is created. No file name,protection, or ownership information is written onto the archive tape. All information necessary to identify the file is stored in the file itself. Documentation: In addition to this document, please obtain Volume 3, MODIS Airborne Simulator Level 1B Data Users Guide, resident in this directory in postscript file MAS_Usr_Guide.ps. Browse Products: There are 2 GIF image files per flight line, named 93ddd??v.gif and 93ddd??i.gif, where 93 is the year, ddd the Julian day of the flight, ?? the flight line number, and v or i, indicating respectively visible (VIS) or Infrared (IR) imagery. Images from each flight, accompanied by a flight statistics summary file, reside in a sub directory named with the date of the flight (02feb93) under mas/images. 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 -CWIC_REG_1.0 Radarsat-2 Scenes, Natural Resources Canada CCMEO STAC Catalog 2008-04-27 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2204659831-CCMEO.umm_json The collection represents browse images and metadata for systematically georeferenced Radarsat-2 Synthetic Aperture Radar(SAR) satellite scenes. The browse scenes are not geometrically enhanced using ground control points, but are systematically corrected using sensor parameters. Full resolution precision geocoded scenes(corrected using ground control points) which correspond to the browse images can be ordered from MacDonald Dettwiler and Associates Ltd., Vancouver, Canada. Metadata discovery is achieved using the online catalog http://neodf.nrcan.gc.ca OR by using the CWIC OGC CSW service URL : http://cwic.csiss.gmu.edu/cwicv1/discovery. The imaging frequency is C Band SAR : 5405.0000 MHz. RADARSAT-2 is in a polar, sun-synchronous orbit with a period of approximately 101 minutes. The RADARSAT-2 orbit will be maintained at +\/- 1 km in across track direction. This orbit maintenance is suitable for InSAR data collection. The geo-location accuracy of RADARSAT-2 products varies with product type. It is currently estimated at +\/- 30 m for Standard beam products. The revisit period for RADARSAT-2 depends on the beam mode, incidence angle and geographic location of the area of interest. In general, revisit is more frequent at the poles than the equator and the wider swath modes have higher revisit than t he narrow swath modes. proprietary -CWIC_REG_RCM_1.0 RCM (Radarsat Constellation Mission ) Products, Natural Resources Canada CCMEO STAC Catalog 2019-06-12 2026-06-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2204659595-CCMEO.umm_json The collection represents products and metadata for georeferenced Radarsat Constellation Mission ( RCM ) satellite scenes. Metadata discovery and product ordering is achieved using the online catalog https://www.eodms-sgdot.nrcan-rncan.gc.ca/index-en.html OR by using the CWIC OpenSearch OSDD : http://cwic.csiss.gmu.edu/cwicv1/discovery. proprietary -CWIC_REG_Radarsat-1_1.0 Radarsat-1 Scenes, Natural Resources Canada CCMEO STAC Catalog 1996-01-11 2013-03-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2204658925-CCMEO.umm_json The collection represents browse images and metadata for systematically georeferenced Radarsat-1 Synthetic Aperture Radar(SAR) satellite scenes. The browse scenes are not geometrically enhanced using ground control points, but are systematically corrected using sensor parameters. Full resolution precision geocoded scenes(corrected using ground control points) which correspond to the browse images can be ordered from MacDonald Dettwiler and Associates Ltd., Vancouver, Canada. Metadata discovery is achieved using the online catalog https://neodf.nrcan.gc.ca/neodf_cat3 OR by using the CWIC OGC CSW service URL : http://cwic.csiss.gmu.edu/cwicv1/discovery. Radarsat-1 operates at 5.3 GHz. (C-Band). It is in a sun-synchronous orbit. Image resolution is in the range 8-100 meters. 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 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 -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 -CryoSat.products_NA CryoSat products ESA STAC Catalog 2010-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1532648141-ESA.umm_json CryoSat's primary payload is the SAR/Interferometric Radar Altimeter (SIRAL) (https://earth.esa.int/eogateway/instruments/siral) which has extended capabilities to meet the measurement requirements for ice-sheet elevation and sea-ice freeboard. CryoSat also carries three star trackers for measuring the orientation of the baseline. In addition, a radio receiver called Doppler Orbit and Radio Positioning Integration by Satellite (DORIS) and a small laser retroreflector ensures that CryoSat's position will be accurately tracked. More detailed information on CryoSat instruments is available on the CryoSat mission page. The following CryoSat datasets are available and distributed to registered users: Level 1B and L2 Ice products: FDM, LRM, SAR and SARIn Consolidated Level 2 (GDR): (LRM+SAR+SARIN) consolidated ice products over an orbit Intermediate Level 2 Ice products: LRM, SAR and SARIn L1b and L2 Ocean Products: GOP and IOP CryoTEMPO EOLIS Point Products CryoTEMPO EOLIS Gridded Products Detailed information concerning each of the above datasets is available in the CryoSat Products Overview (https://earth.esa.int/eogateway/missions/cryosat/products) and in the news item: CryoSat Ocean Products now open to scientific community (https://earth.esa.int/web/guest/missions/esa-operational-eo-missions/cryosat/news/-/asset_publisher/47bD/content/cryosat-ocean-products-now-open-to-scientific-community). CryoSat Level 1B altimetric products contain time and geo-location information as well as SIRAL measurements in engineering units. Calibration corrections are included and have been applied to the window delay computations. In Offline products, geophysical corrections are computed from Analysis Auxiliary Data Files (ADFs), whereas in FDM products corrections are computed for Forecast ADFs. All corrections are included in the data products and therefore the range can be calculated by taking into account the surface type. The Offline Level 2 LRM, SAR and SARIn ice altimetric products are generated 30 days after data acquisition and are principally dedicated to glaciologists working on sea-ice and land-ice areas. The Level 2 FDM products are near-real time ocean products, generated 2-3 hours after data acquisition, and fulfill the needs of some ocean operational services. Level 2 products contain the time of measurement, the geo-location and the height of the surface. IOP and GOP are outputs of the CryoSat Ocean Processor. These products are dedicated to the study of ocean surfaces, and provided specifically for the needs of the oceanographic community. IOP are generated 2-3 days after data sensing acquisition and use the DORIS Preliminary Orbit. GOP are typically generated 30 days after data sensing acquisition and use the DORIS Precise Orbit. Geophysical corrections are computed from the Analysis ADFs, however following the oceanographic convention the corrections are available but not directly applied to the range (as for FDM). The CryoSat ThEMatic PrOducts (Cryo-TEMPO) projects aim to deliver a new paradigm of simplified, harmonized, and agile CryoSat-2 products, that are easily accessible to new communities of non-altimeter experts and end users. The Cryo-TEMPO datasets include dedicated products over five thematic areas, covering Sea Ice, Land Ice, Polar Ocean, Coastal Ocean and Inland Water, together with a novel SWATH product (CryoTEMPO-EOLIS) that exploits CryoSat's SARIn mode over ice sheet margins. The standard Cryo-TEMPO products include fully-traceable uncertainties and use rapidly evolving, state-of-the-art processing dedicated to each thematic area. Throughout the project, the products will be constantly evolved, and validated by a group of Thematic Users, thus ensuring optimal relevance and impact for the intended target communities. More information on the Cryo-TEMPO products can be found on the Project Website (http://cryosat.mssl.ucl.ac.uk/tempo/index.html). The CryoTEMPO-EOLIS swath product exploits CryoSat's SARIn mode and the novel Swath processing technique to deliver increased spatial and temporal coverage of time-dependent elevation over land ice, a critical metric for tracking ice mass trends in support to a wide variety of end-users. The CryoTEMPO-EOLIS swath product exploits CryoSat's SARIn mode and the novel Swath processing technique to deliver increased spatial and temporal coverage of time-dependent elevation over land ice, a critical metric for tracking ice mass trends in support to a wide variety of end-users.The dataset consists of systematic reprocessing of the entire CryoSat archive to generate new L2-Swath products, increasing data sampling by 1 to 2 orders of magnitude compared with the operational L2 ESA product. In addition, the EOLIS dataset is joined with the ESA L2 Point-Of-Closest-Approach to generate monthly DEM (Digital Elevation Model) products. This dataset will further the ability of the community to analyse and understand trends across the Greenland Ice Sheet margin, Antarctica and several mountain glaciers and ice caps around the world. proprietary -DLG100K_Not provided 1:100,000-scale Digital Line Graphs (DLG) from the U.S. Geological Survey USGS_LTA STAC Catalog 1987-06-19 -126, 24, -66, 49 https://cmr.earthdata.nasa.gov/search/concepts/C1220566434-USGS_LTA.umm_json Digital line graph (DLG) data are digital representations of cartographic information. DLG's of map features are converted to digital form from maps and related sources. Intermediate-scale DLG data are derived from USGS 1:100,000-scale 30- by 60-minute quadrangle maps. If these maps are not available, Bureau of Land Management planimetric maps at a scale of 1: 100,000 are used. Intermediate-scale DLG's are sold in five categories: (1) Public Land Survey System; (2) boundaries (3) transportation; (4) hydrography; and (5) hypsography. All DLG data distributed by the USGS are DLG - Level 3 (DLG-3), which means the data contain a full range of attribute codes, have full topological structuring, and have passed certain quality-control checks. proprietary -EARTH_LAND_USGS_AMES_AIR_PHOTOS_Not provided Aerial Photographs (from AMES Pilot Land Data System); USGS EDC, Sioux Falls USGS_LTA STAC Catalog 1970-01-01 -180, 20, -60, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1220566371-USGS_LTA.umm_json "The aerial photography inventoried by the Pilot Land Data System (PLDS) at NASA AMES Research Center has been transferred to the USGS EROS Data Center. The photos were obtained from cameras mounted on high and medium altitude aircraft based at the NASA Ames Research Center. Several cameras with varying focal lengths, lenses and film formats are used, but the Wild RC-10 camera with a focal length of 152 millimeters and a 9 by 9 inch film format is most common. The positive transparencies are typically used for ancillary ground checks in conjunctions with digital processing for the same sites. The aircraft flights, specifically requested by scientists performing approved research, often simultaneously collect data using other sensors on board (e.g. Thematic Mapper Simulators (TMS) and Thermal Infrared Multispectral Scanners). High altitude color infrared photography is used regularly by government agencies for such applications as crop yield forecasting, timber inventory and defoliation assessment, water resource management, land use surveys, water pollution monitoring, and natural disaster assessment. To order, specify the latitude and longitude of interest. You will then be given a list of photos available for that location. In some cases, ""flight books"" are available at EDC that describe the nature of the mission during which the photos were taken and other attribute information. The customer service personnel have access to these books for those photo sets for which the books exist." proprietary -ECO_L1B_ATT_002 ECOSTRESS Swath Attitude and Ephemeris Instantaneous L1B Global V002 LPCLOUD STAC Catalog 2018-07-09 -180, -54, 180, 54 https://cmr.earthdata.nasa.gov/search/concepts/C2076117996-LPCLOUD.umm_json The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally as well as key biomes and agricultural zones around the world and selected FLUXNET (http://fluxnet.fluxdata.org/about/) validation sites. A map of the acquisition coverage can be found on the ECOSTRESS website (https://ecostress.jpl.nasa.gov/science). The ECOSTRESS Swath Attitude and Ephemeris Instantaneous Level 1B Global (ECO_L1B_ATT) Version 2 data product provides both corrected and uncorrected attitude quaternions and spacecraft ephemeris data obtained from the ISS. The data are provided in 1 second intervals, and each product file contains vectors from the duration of the orbit. The ECO_L1B_ATT Version 2 data product contains layers of attitude and ephemeris data generated by the ISS, which are used to start the geolocation process. These layers also include Earth-centered inertial (ECI) position and velocity, and associated time elements distributed in HDF5 format. Known Issues: *Cannot perform spatial query on ECO_L1B_ATT in NASA Earthdata Search: ECO_L1B_ATT does not contain spatial attributes, so granules cannot be searched by geographic location. Users should search for ECO_L1B_ATT data products by orbit number instead. *Data acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly, temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented, and science acquisitions resumed. *Data acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods. proprietary -ECO_L1B_GEO_002 ECOSTRESS Swath Geolocation Instantaneous L1B Global 70 m V002 LPCLOUD STAC Catalog 2018-07-09 -180, -54, 180, 54 https://cmr.earthdata.nasa.gov/search/concepts/C2076087338-LPCLOUD.umm_json "The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally as well as key biomes and agricultural zones around the world and selected FLUXNET (http://fluxnet.fluxdata.org/about/) validation sites. A map of the acquisition coverage can be found on the ECOSTRESS website (https://ecostress.jpl.nasa.gov/science). The ECOSTRESS Swath Geolocation Instantaneous Level 1B Global (ECO_L1B_GEO) Version 2 data product provides the geolocation information for the radiance values retrieved in the ECO_L1B_RAD (https://doi.org/10.5067/ecostress/eco_l1b_rad.002) Version 2 data product. The geolocation product gives geo-tagging to each of the radiance pixels. The geolocation processing corrects the ISS-reported ephemeris and attitude data by image matching with a global ortho-base derived from Landsat data, and then assigns latitude and longitude values to each of the Level 1 radiance pixels. When image matching is successful, the data are geolocated to better than 50 meter (m) accuracy. The ECO_L1B_GEO data product is provided as swath data. The ECO_L1B_GEO data product contains data layers for latitude and longitude values, solar and view geometry information, surface height, and the fraction of pixel on land versus water distributed in HDF5 format. Known Issues: *Geolocation accuracy: In cases where scenes were not successfully matched with the ortho-base, the geolocation error is significantly larger; the worst-case geolocation error for uncorrected data is 7 kilometers (km). Within the metadata of the ECO_L1B_GEO file, if the field ""L1GEOMetadata/OrbitCorrectionPerformed"" is ""True"", the data was corrected, and geolocation accuracy should be better than 50 m. If this field is ""False"", then the data was processed without correcting the geolocation and will have up to 7 km geolocation error. *Data acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly, temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented, and science acquisitions resumed. *Data acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected. *Data acquisition: EECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods. " proprietary -ECO_L1B_RAD_002 ECOSTRESS Swath Top of Atmosphere Calibrated Radiance Instantaneous L1B Global 70 m V002 LPCLOUD STAC Catalog 2018-07-09 -180, -54, 180, 54 https://cmr.earthdata.nasa.gov/search/concepts/C2076116385-LPCLOUD.umm_json The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally as well as key biomes and agricultural zones around the world and selected FLUXNET (http://fluxnet.fluxdata.org/about/) validation sites. A map of the acquisition coverage can be found on the ECOSTRESS website (https://ecostress.jpl.nasa.gov/science). The ECOSTRESS Swath Top of Atmosphere Calibrated Radiance Instantaneous L1B Global 70 m (ECO_L1B_RAD) Version 2 data product provides at-sensor calibrated radiance values retrieved for five thermal infrared (TIR) bands operating between 8 and 12.5 µm. Additionally, the digital numbers (DN) for the shortwave infrared (SWIR) band are provided. The TIR bands are spatially co-registered to produce a variable spatial resolution between 70 meters (m) and 90 m at the edge of the swath. The ECO_L1B_RAD data product is provided as swath data and does not contain geolocation information. The corresponding ECO_L1B_GEO (https://doi.org/10.5067/ECOSTRESS/ECO_L1B_GEO.002) data product is required to georeference the ECO_L1B_RAD data product. The geographic coverage of acquisitions for the ECO_L1B_RAD Version 2 data product extends to areas outside of those indicated on the coverage map. The ECO_L1B_RAD Version 2 data product contains layers of radiance values for the five TIR bands, DN values for the SWIR band, associated data quality indicators, and ancillary data distributed in HDF5 format. For acquisitions after May 15, 2019, data products contain data values for the 8.785 μm, 10.522 μm, and 12.001 μm (TIR) bands only. The 1.6 μm (SWIR), 8.285 μm (TIR), and 9.060 μm (TIR) bands contain fill values to accommodate direct streaming of data from the ISS. Known Issues: *Cannot perform spatial query on ECO_L1B_RAD in NASA Earthdata Search: ECO_L1B_RAD does not contain spatial attributes, so granules cannot be searched by geographic location. Users should search for ECO_L1B_RAD data products by orbit number instead. *Data acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly, temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented, and science acquisitions resumed. To optimize the new acquisition approach TIR bands 2, 4 and 5 are being downloaded. The data products are as previously, except the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023. *Data acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected. *Missing scan data/striping features: During testing, an instrument artifact was encountered in ECOSTRESS bands 1 and 5, resulting in missing values. A machine learning algorithm has been applied to interpolate missing values. For more information on the missing scan filling techniques and outcomes, see Section 3.3.2 of the User Guide. *Scan overlap: An overlap between ECOSTRESS scans results in a clear line overlap and repeating data. Additional information is available in Section 3.2 of the User Guide. *Scan flipping: Improvements to the visualization of the data to compensate for instrument orientation are discussed in Section 3.4 of the User Guide. *Data acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods. proprietary -ECO_L1CG_RAD_002 ECOSTRESS Gridded Top of Atmosphere Calibrated Radiance Instantaneous L1C Global 70 m V002 LPCLOUD STAC Catalog 2018-07-09 -180, -54, 180, 54 https://cmr.earthdata.nasa.gov/search/concepts/C2595678497-LPCLOUD.umm_json The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52° N and 52° S latitudes. A map of the acquisition coverage can be found on the ECOSTRESS website (https://ecostress.jpl.nasa.gov/science). The ECOSTRESS Gridded Top of Atmosphere Calibrated Radiance Instantaneous Level 1C Global 70 m (ECO_L1CG_RAD) Version 2 data product provides at-sensor calibrated radiance values retrieved for five thermal infrared (TIR) bands operating between 8 and 12.5 µm. This product is a gridded version of the ECO_L1B_RAD (https://doi.org/10.5067/ECOSTRESS/ECO_L1B_RAD.002) Version 2 data product that has been resampled by nearest neighbor, projected to a globally snapped 0.0006° grid, and repackaged as the ECO_L1CG_RAD data product. The ECO_L1CG_RAD Version 2 data product contains 12 layers distributed in an HDF5 format file containing radiance values for the five TIR bands, associated data quality indicators, and cloud and water masks. Known Issues: *Data acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly, temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented, and science acquisitions resumed. To optimize the new acquisition approach TIR bands 2, 4, and 5 are being downloaded. The data products are as previously, except the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023. *Data acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected. *Missing scan data/striping features: During testing, an instrument artifact was encountered in ECOSTRESS bands 1 and 5, resulting in missing values. A machine learning algorithm has been applied to interpolate missing values. For more information on the missing scan filling techniques and outcomes, see Section 3.3.2 of the ECO_L1B_RAD User Guide. *Scan overlap: An overlap between ECOSTRESS scans results in a clear line overlap and repeating data. Additional information is available in Section 3.2 of the ECO_L1B_RAD User Guide. *Scan flipping: Improvements to the visualization of the data to compensate for instrument orientation are discussed in Section 3.4 of the ECO_L1B_RAD User Guide. *Data acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods. proprietary -ECO_L1CT_RAD_002 ECOSTRESS Tiled Top of Atmosphere Calibrated Radiance Instantaneous L1C Global 70 m V002 LPCLOUD STAC Catalog 2018-07-09 -180, -54, 180, 54 https://cmr.earthdata.nasa.gov/search/concepts/C2595678301-LPCLOUD.umm_json The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52° N and 52° S latitudes. A map of the acquisition coverage can be found on the ECOSTRESS website (https://ecostress.jpl.nasa.gov/science). The ECOSTRESS Tiled Top of Atmosphere Calibrated Radiance Instantaneous Level 1 Global 70 m (ECO_L1CT_RAD) Version 2 data product provides at-sensor calibrated radiance values retrieved for five thermal infrared (TIR) bands operating between 8 and 12.5 µm. This tiled data product is generated from the ECO_L1CG_RAD (https://doi.org/10.5067/ECOSTRESS/ECO_L1CG_RAD.002) Version 2 data product using a modified version of the Military Grid Reference System (MGRS) (https://hls.gsfc.nasa.gov/products-description/tiling-system/), which divides Universal Transverse Mercator (UTM) zones into square tiles that are 109.8 km by 109.8 km with a 70 meter (m) spatial resolution. Each ECOSTRESS pixel can be assumed to remain at the same location at each timestep within a tile. The ECO_L1CT_RAD Version 2 data product contains 12 layers distributed in Cloud Optimized GeoTIFF (COG) format consisting of separate files containing five TIR bands, associated data quality indicators, and cloud and water masks. Known Issues: *Data acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly, temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented, and science acquisitions resumed. To optimize the new acquisition approach TIR bands 2, 4, and 5 are being downloaded. The data products are as previously, except the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023. *Data acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected. *Missing scan data/striping features: During testing, an instrument artifact was encountered in ECOSTRESS bands 1 and 5, resulting in missing values. A machine learning algorithm has been applied to interpolate missing values. For more information on the missing scan filling techniques and outcomes, see Section 3.3.2 of the ECO_L1B_RAD User Guide. *Scan overlap: An overlap between ECOSTRESS scans results in a clear line overlap and repeating data. Additional information is available in Section 3.2 of the ECO_L1B_RAD User Guide. *Scan flipping: Improvements to the visualization of the data to compensate for instrument orientation are discussed in Section 3.4 of the ECO_L1B_RAD User Guide. *Data acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods. proprietary -ECO_L2G_CLOUD_002 ECOSTRESS Gridded Cloud Mask Instantaneous L2 Global 70 m V002 LPCLOUD STAC Catalog 2018-07-09 -180, -54, 180, 54 https://cmr.earthdata.nasa.gov/search/concepts/C2076113561-LPCLOUD.umm_json The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally as well as key biomes and agricultural zones around the world and selected FLUXNET (http://fluxnet.fluxdata.org/about/) validation sites. A map of the acquisition coverage can be found on the ECOSTRESS website (https://ecostress.jpl.nasa.gov/science). The ECOSTRESS Gridded Cloud Mask Instantaneous L2 Global 70 m (ECO_L2G_CLOUD) Version 2 data product is derived using a single-channel Bayesian cloud threshold with a look-up-table (LUT) approach. The ECO_L2G_CLOUD product provides a cloud mask that can be used to determine cloud cover for accurate land surface temperature and evapotranspiration estimation. This data product is a gridded version of the ECO_L2_CLOUD Version 2 product that was resampled using nearest neighbor, projected to a globally snapped 0.0006° grid, and repackaged as the ECO_L2G_CLOUD Version 2 data product. The ECO_L2G_CLOUD Version 2 data product contains two cloud mask layers: cloud confidence and final cloud mask. Information on how to interpret the cloud confidence and cloud mask layers is provided in Table 7 of the ECO_L2_CLOUD Version 2 User Guide. Known Issues: *Data acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly, temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented, and science acquisitions resumed. To optimize the new acquisition approach TIR bands 2, 4, and 5 are being downloaded. The data products are as previously, except the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023. *Data acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected. *Data acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods. proprietary -ECO_L2G_LSTE_002 ECOSTRESS Gridded Land Surface Temperature and Emissivity Instantaneous L2 Global 70 m V002 LPCLOUD STAC Catalog 2018-07-09 -180, -54, 180, 54 https://cmr.earthdata.nasa.gov/search/concepts/C2076113037-LPCLOUD.umm_json The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally as well as key biomes and agricultural zones around the world and selected FLUXNET (http://fluxnet.fluxdata.org/about/) validation sites. A map of the acquisition coverage can be found on the ECOSTRESS website (https://ecostress.jpl.nasa.gov/science). The ECOSTRESS Gridded Land Surface Temperature and Emissivity Instantaneous Level 2 Global 70 m (ECO_L2G_LSTE) Version 2 data product provides atmospherically corrected land surface temperature and emissivity (LST&E) values derived from five thermal infrared (TIR) bands. The ECO_L2G_LSTE data product was derived using a physics-based Temperature and Emissivity Separation (TES) algorithm. This data product is a gridded version of the ECO_L2_LSTE (https://doi.org/10.5067/ECOSTRESS/ECO_L2_LSTE.002) Version 2 data product that was resampled using nearest neighbor, projected to a globally snapped 0.0006° grid, and repackaged as the ECO_L2G_LSTE data product. The ECO_L2G_LSTE product is provided as gridded data and has a spatial resolution of 70 meters (m). The ECO_L2G_LSTE Version 2 data product contains 8 layers distributed in an HDF5 format file including LST, LST error, wideband emissivity, height, view zenith angle, quality flags, and cloud and water masks. For acquisitions after May 15, 2019, data products contain data values for TIR bands 2, 4, and 5 only. TIR bands 1 and 3 contain fill values to accommodate direct streaming of data from the ISS, as mentioned in the Known Issues section. LST data generated after May 15, 2019, will use only the three available bands; accuracy may be affected when compared to the LST data that utilized all five bands. Known Issues: *Data acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly, temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented, and science acquisitions resumed. To optimize the new acquisition approach TIR bands 2, 4, and 5 are being downloaded. The data products are as previously, except the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023. *Data acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected. *Data acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods. proprietary -ECO_L2T_LSTE_002 ECOSTRESS Tiled Land Surface Temperature and Emissivity Instantaneous L2 Global 70 m V002 LPCLOUD STAC Catalog 2018-07-09 -180, -54, 180, 54 https://cmr.earthdata.nasa.gov/search/concepts/C2076090826-LPCLOUD.umm_json The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally as well as key biomes and agricultural zones around the world and selected FLUXNET (http://fluxnet.fluxdata.org/about/) validation sites. A map of the acquisition coverage can be found on the ECOSTRESS website (https://ecostress.jpl.nasa.gov/science). The ECOSTRESS Tiled Land Surface Temperature and Emissivity Instantaneous Level 2 Global 70 m (ECO_L2T_LSTE) Version 2 data product provides atmospherically corrected land surface temperature and emissivity (LST&E) values derived from five thermal infrared (TIR) bands. The ECO_L2T_LSTE data product was derived using a physics-based Temperature/Emissivity Separation (TES) algorithm. This tiled data product is subset from the ECO_L2G_LSTE data product using a modified version of the Military Grid Reference System (MGRS) which divides Universal Transverse Mercator (UTM) zones into square tiles that are 109.8 km by 109.8 km with a 70 meter (m) spatial resolution. The ECO_L2T_LSTE Version 2 data product is provided in Cloud Optimized GeoTIFF (COG) format, and each band is distributed as a separate COG. This product contains seven layers including LST, LST error, wideband emissivity, quality flags, height, and cloud and water masks. Known Issues: *Data acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly, temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented, and science acquisitions resumed. To optimize the new acquisition approach TIR bands 2, 4, and 5 are being downloaded. The data products are as previously, except the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023. *Data acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected. *Data acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods. * The User Guide for this product lists a view_zenith layer which is not included in the current version of this product. proprietary -ECO_L2_CLOUD_002 ECOSTRESS Swath Cloud Mask Instantaneous L2 Global 70 m V002 LPCLOUD STAC Catalog 2018-07-09 -180, -54, 180, 54 https://cmr.earthdata.nasa.gov/search/concepts/C2076115306-LPCLOUD.umm_json The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally as well as key biomes and agricultural zones around the world and selected FLUXNET (http://fluxnet.fluxdata.org/about/) validation sites. A map of the acquisition coverage can be found on the ECOSTRESS website (https://ecostress.jpl.nasa.gov/science). The ECOSTRESS Swath Cloud Mask Instantaneous L2 Global 70 m (ECO_L2_CLOUD) Version 2 data product is derived using a single-channel Bayesian cloud threshold with a look-up-table (LUT) approach. The ECOSTRESS Level 2 cloud product provides a cloud mask that can be used to determine cloud cover for accurate land surface temperature and evapotranspiration estimation. The corresponding ECO_L1B_GEO (https://doi.org/10.5067/ECOSTRESS/ECO_L1B_GEO.002) data product is required to georeference the ECO_L2_CLOUD data product. The ECO_L2_CLOUD Version 2 data product contains two cloud mask layers: Brightness temperature LUT test and Final cloud mask. Information on how to interpret the bit fields in the cloud mask is provided in Table 7 of the User Guide. Known Issues: *Data acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly, temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented, and science acquisitions resumed. To optimize the new acquisition approach TIR bands 2, 4 and 5 are being downloaded. The data products are as previously, except the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023. *Data acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected. *Data acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods. proprietary -ECO_L2_LSTE_002 ECOSTRESS Swath Land Surface Temperature and Emissivity Instantaneous L2 Global 70 m V002 LPCLOUD STAC Catalog 2018-07-09 -180, -54, 180, 54 https://cmr.earthdata.nasa.gov/search/concepts/C2076114664-LPCLOUD.umm_json The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally as well as key biomes and agricultural zones around the world and selected FLUXNET (http://fluxnet.fluxdata.org/about/) validation sites. A map of the acquisition coverage can be found on the ECOSTRESS website (https://ecostress.jpl.nasa.gov/science). The ECOSTRESS Swath Land Surface Temperature and Emissivity Instantaneous L2 Global 70 m (ECO_L2_LSTE) Version 2 data product provides atmospherically corrected land surface temperature and emissivity (LST&E) values derived from five thermal infrared (TIR) bands. The ECO_L2_LSTE data product was derived using a physics-based Temperature and Emissivity Separation (TES) algorithm. The ECO_L2_LSTE is provided as swath data and has a spatial resolution of 70 meters (m). The corresponding ECO_L1B_GEO (https://doi.org/10.5067/ECOSTRESS/ECO_L1B_GEO.002) data product is required to georeference the ECO_L2_LSTE data product. The ECO_L2_LSTE Version 2 data product contains layers of LST, emissivity for bands 1 through 5, quality control for LST&E, LST error, emissivity error for bands 1 through 5, wideband emissivity, Precipitable Water Vapor (PWV), cloud mask, and water mask. For acquisitions between May 15, 2019, and April 28, 2023, data products contain data values for TIR bands 2, 4 and 5 only. TIR bands 1 and 3 contain fill values to accommodate direct streaming of data from the ISS. Known Issues: *Data acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly, temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented, and science acquisitions resumed. To optimize the new acquisition approach TIR bands 2, 4, and 5 are being downloaded. The data products are as previously, except the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023. *Data acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected. *Data acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods. proprietary -EMITL1BATT_001 EMIT L1B Corrected Spacecraft Attitude and Ephemeris V001 LPCLOUD STAC Catalog 2022-08-09 -180, -54, 180, 54 https://cmr.earthdata.nasa.gov/search/concepts/C2408031090-LPCLOUD.umm_json The Earth Surface Mineral Dust Source Investigation (EMIT) instrument measures surface mineralogy, targeting the Earth’s arid dust source regions. EMIT is installed on the International Space Station (ISS). During its one-year mission, EMIT will take mineralogical measurements of the sunlit regions of interest between 52° N latitude and 52° S latitude. A map of the regions being investigated can be found on the EMIT website. The EMIT Level 1B Corrected Spacecraft Attitude and Ephemeris (EMITL1BATT) Version 1 data product provides both corrected and uncorrected attitude quaternions and spacecraft ephemeris data obtained from the ISS, including Earth-centered inertial (ECI) position and velocity, and associated time elements. The data are provided in 1 second intervals, and each product file contains vectors from the duration of the orbit. The time elements are copied from the ISS raw data. The data for each EMITL1BATT granule are delivered in a single Network Common Data Format 4 (NetCDF4) file. proprietary -EMITL1BRAD_001 EMIT L1B At-Sensor Calibrated Radiance and Geolocation Data 60 m V001 LPCLOUD STAC Catalog 2022-08-09 -180, -54, 180, 54 https://cmr.earthdata.nasa.gov/search/concepts/C2408009906-LPCLOUD.umm_json The Earth Surface Mineral Dust Source Investigation (EMIT) instrument measures surface mineralogy, targeting the Earth’s arid dust source regions. EMIT is installed on the International Space Station (ISS) and uses imaging spectroscopy to take mineralogical measurements of sunlit regions of interest between 52° N latitude and 52° S latitude. An interactive map showing the regions being investigated, current and forecasted data coverage, and additional data resources can be found on the VSWIR Imaging Spectroscopy Interface for Open Science (VISIONS) EMIT Open Data Portal. The EMIT Level 1B At-Sensor Calibrated Radiance and Geolocation (EMITL1BRAD) Version 1 data product provides at-sensor calibrated radiance values along with observation data in a spatially raw, non-orthocorrected format. Each EMITL1BRAD granule consists of two Network Common Data Format 4 (NetCDF4) files at a spatial resolution of 60 meters (m): Radiance (EMIT_L1B_RAD) and Observation (EMIT_L1B_OBS). The Radiance file contains the at-sensor radiance measurements of 285 bands with a spectral range of 381-2493 nanometers (nm) and with a spectral resolution of ~7.5 nm, which are held within a single science dataset layer (SDS). The Observation file contains viewing and solar geometries, timing, topographic, and other information related to the observation. Each NetCDF4 file holds a location group containing geometric lookup tables (GLT), which are orthorectified images that provide relative x and y reference locations from the raw scene to allow for projection of the data. Along with the GLT layers, the files also contain latitude, longitude, and elevation layers. The latitude and longitude coordinates are presented using the World Geodetic System (WGS84) ellipsoid. The elevation data was obtained from Shuttle Radar Topography Mission v3 (SRTM v3) data and resampled to EMIT’s spatial resolution. Each granule is approximately 75 kilometer (km) by 75 km, nominal at the equator, and some granules near the end of an orbit segment reaching 150 km in length. proprietary -EMITL2ARFL_001 EMIT L2A Estimated Surface Reflectance and Uncertainty and Masks 60 m V001 LPCLOUD STAC Catalog 2022-08-09 -180, -54, 180, 54 https://cmr.earthdata.nasa.gov/search/concepts/C2408750690-LPCLOUD.umm_json The Earth Surface Mineral Dust Source Investigation (EMIT) instrument measures surface mineralogy, targeting the Earth’s arid dust source regions. EMIT is installed on the International Space Station (ISS) and uses imaging spectroscopy to take mineralogical measurements of sunlit regions of interest between 52° N latitude and 52° S latitude. An interactive map showing the regions being investigated, current and forecasted data coverage, and additional data resources can be found on the VSWIR Imaging Spectroscopy Interface for Open Science (VISIONS) EMIT Open Data Portal. The EMIT Level 2A Estimated Surface Reflectance and Uncertainty and Masks (EMITL2ARFL) Version 1 data product provides surface reflectance data in a spatially raw, non-orthocorrected format. Each EMITL2ARFL granule consists of three Network Common Data Format 4 (NetCDF4) files at a spatial resolution of 60 meters (m): Reflectance (EMIT_L2A_RFL), Reflectance Uncertainty (EMIT_L2A_RFLUNCERT), and Reflectance Mask (EMIT_L2A_MASK). The Reflectance file contains surface reflectance maps of 285 bands with a spectral range of 381-2493 nanometers (nm) at a spectral resolution of ~7.5 nm, which are held within a single science dataset layer (SDS). The Reflectance Uncertainty file contains uncertainty estimates about the reflectance captured as per-pixel, per-band, posterior standard deviations. The Reflectance Mask file contains six binary flag bands and two data bands. The binary flag bands identify the presence of features including clouds, water, and spacecraft which indicate if a pixel should be excluded from analysis. The data bands contain estimates of aerosol optical depth (AOD) and water vapor. Each NetCDF4 file holds a location group containing a geometric lookup table (GLT) which is an orthorectified image that provides relative x and y reference locations from the raw scene to allow for projection of the data. Along with the GLT layers, the files will also contain latitude, longitude, and elevation layers. The latitude and longitude coordinates are presented using the World Geodetic System (WGS84) ellipsoid. The elevation data was obtained from Shuttle Radar Topography Mission v3 (SRTM v3) data and resampled to EMIT’s spatial resolution. Each granule is approximately 75 kilometer (km) by 75 km, nominal at the equator, and some granules near the end of an orbit segment reaching 150 km in length. proprietary -EMITL2BCH4ENH_001 EMIT L2B Methane Enhancement Data 60 m V001 LPCLOUD STAC Catalog 2022-08-09 -180, -54, 180, 54 https://cmr.earthdata.nasa.gov/search/concepts/C2748097305-LPCLOUD.umm_json The Earth Surface Mineral Dust Source Investigation (EMIT) instrument measures surface mineralogy, targeting the Earth’s arid dust source regions. EMIT is installed on the International Space Station (ISS) and uses imaging spectroscopy to take measurements of the sunlit regions of interest between 52° N latitude and 52° S latitude. An interactive map showing the regions being investigated, current and forecasted data coverage, and additional data resources can be found on the VSWIR Imaging Spectroscopy Interface for Open Science (VISIONS) EMIT Open Data Portal. In addition to its primary objective described above, EMIT has demonstrated the capacity to characterize methane (CH4) and carbon dioxide (CO2) point-source emissions by measuring gas absorption features in the short-wave infrared bands. The EMIT Level 2B Greenhouse Gas (GHG) series of products can be used to identify and quantify point source emissions. The EMIT Level 2B Methane Enhancement Data (EMITL2BCH4ENH) Version 1 data product is a total vertical column enhancement estimate of methane in parts per million meter (ppm m) based on an adaptive matched filter approach. EMITL2BCH4ENH provides per-pixel methane enhancement data used to identify methane plume complexes. The initial release of the EMITL2BCH4ENH data product will only include granules where methane plume complexes have been identified. Each granule contains one Cloud Optimized GeoTIFF (COG) file at a spatial resolution of 60 meters (m): Methane Enhancement (EMIT_L2B_CH4ENH). The EMITL2BCH4ENH file contains methane enhancement data based primarily on EMITL1BRAD radiance values. Each granule is approximately 75 kilometer (km) by 75 km, nominal at the equator, and some granules near the end of an orbit segment reaching 150 km in length. proprietary -EMITL2BCH4PLM_001 EMIT L2B Estimated Methane Plume Complexes 60 m V001 LPCLOUD STAC Catalog 2022-08-09 180, -54, -180, 54 https://cmr.earthdata.nasa.gov/search/concepts/C2748088093-LPCLOUD.umm_json The Earth Surface Mineral Dust Source Investigation (EMIT) instrument measures surface mineralogy, targeting the Earth’s arid dust source regions. EMIT is installed on the International Space Station (ISS) and uses imaging spectroscopy to take measurements of the sunlit regions of interest between 52° N latitude and 52° S latitude. An interactive map showing the locations of methane plumes along with metadata, regions being investigated, current and forecasted data coverage, and additional data resources can be found on the VSWIR Imaging Spectroscopy Interface for Open Science (VISIONS) EMIT Open Data Portal. In addition to its primary objective described above, EMIT has demonstrated the capacity to characterize methane (CH4) and carbon dioxide (CO2) point-source emissions by measuring gas absorption features in the short-wave infrared bands. The EMIT Level 2B Greenhouse Gas (GHG) series of products can be used to identify and quantify point source emissions. The EMIT Level 2B Estimated Methane Plume Complexes (EMITL2BCH4PLM) Version 1 data product provides estimated methane plume complexes in parts per million meter (ppm m) along with uncertainty data. The EMITL2BCH4PLM data product will only be generated where methane plume complexes have been identified. To reduce the risk of false positives, all EMITL2BCH4ENH data undergo a manual review (or identification and confirmation) process before being designated as a plume complex. For more information on the manual review process, see Section 4.2.2 of the EMIT GHG Algorithm Theoretical Basis Document (ATBD). Each EMITL2BCH4PLM granule is sized to a specific plume complex but may cross multiple EMITL2BCH4ENH granules. A list of source EMITL2BCH4ENH granules is included in the GeoTIFF file metadata as well as the GeoJSON file. Each EMITL2BCH4PLM granule contains two files: one Cloud Optimized GeoTIFF (COG) file at a spatial resolution of 60 meters (m) and one GeoJSON file. The EMITL2BCH4PLM COG file contains a raster image of a methane plume complex extracted from EMITL2BCH4ENH v001 data. The EMITL2BCH4PLM GeoJSON file contains a vector outline of the plume complex, a list of source scenes, coordinates of the maximum enhancement values, and the uncertainty of the plume complex. proprietary -EMITL2BMIN_001 EMIT L2B Estimated Mineral Identification and Band Depth and Uncertainty 60 m V001 LPCLOUD STAC Catalog 2022-08-09 -180, -54, 180, 54 https://cmr.earthdata.nasa.gov/search/concepts/C2408034484-LPCLOUD.umm_json The Earth Surface Mineral Dust Source Investigation (EMIT) instrument measures surface mineralogy, targeting the Earth’s arid dust source regions. EMIT is installed on the International Space Station (ISS) and uses imaging spectroscopy to take mineralogical measurements of the sunlit regions of interest between 52° N latitude and 52° S latitude. An interactive map showing the regions being investigated, current and forecasted data coverage, and additional data resources can be found on the VSWIR Imaging Spectroscopy Interface for Open Science (VISIONS) EMIT Open Data Portal. The EMIT Level 2B Estimated Mineral Identification and Band Depth and Uncertainty (EMITL2BMIN) Version 1 data product provides estimated mineral identification and band depths in a spatially raw, non-orthocorrected format. Each EMITL2BMIN granule contains two Network Common Data Format 4 (NetCDF4) files at a spatial resolution of 60 meters (m): Mineral Identification (EMIT_L2B_MIN) and Mineral Uncertainty (EMIT_L2B_MINUNCERT). The EMIT_L2B_MIN file contains the band depth (the depth of the identified spectral feature) and the identified mineral for each pixel. Two spectral groups, which correspond to different regions of the spectra, are identified independently and often co-occur. These estimates are generated using the Tetracorder system (code) and are based on EMITL2ARFL reflectance values. The EMIT_L2B_MINUNCERT file provides band depth uncertainty estimates calculated using surface Reflectance Uncertainty values from the EMITL2ARFL data product. The band depth uncertainties are presented as standard deviations. The fit score for each mineral identification is also provided as the coefficient of determination (r2) of the match between the continuum normalized library reference and the continuum normalized observed spectrum. Associated metadata indicates the name and reference information for each identified mineral, and additional information about aggregating minerals into different categories is available in the emit-sds-l2b repository and will be available as subsequent data products. The EMITL2BMIN data product includes a total of 19 Science Dataset (SDS) layers. There are four layers for each of the Spectral Groups (Group 1 and Group 2): Mineral Identification, Band Depth, Band Depth Uncertainties, and Fit Score. Additional layers consist of geometric lookup table (GLT) x values, GLT y values, latitude, longitude, elevation, associated spectral library record, mineral name, URL for the spectral library description, spectral group, spectral library, and spectral group index. A browse image with Group 1 Band Depth, Group 2 Band Depth, Group 1 Band Depth Uncertainty, and Group 2 Band Depth Uncertainty is also included. Each granule is approximately 75 kilometer (km) by 75 km, nominal at the equator, and some granules near the end of an orbit segment reaching 150 km in length. Disclaimer This product is generated to support the EMIT mission objectives of constraining the sign of dust related radiative forcing. Ten mineral types are the core focus of this work: Calcite, Chlorite, Dolomite, Goethite, Gypsum, Hematite, Illite+Muscovite, Kaolinite, Montmorillonite, and Vermiculite. A future product will aggregate these results for use in Earth System Models. Additional minerals are included in this product for transparency but were not the focus of this product. Further validation is required to use these additional mineral maps, particularly in the case of resource exploration. Similarly, the separation of minerals with similar spectral features, such as a fine-grained goethite and hematite, is an area of active research. The results presented here are an initial offering, but the precise categorization is likely to evolve over time, and the limits of what can and cannot be separated on the global scale is still being explored. The user is encouraged to read the Algorithm Theoretical Basis Document (ATBD) for more details. proprietary -EN1_MDSI_MER_FRS_1P_4 Full Resolution Full Swath Geolocated and Calibrated TOA Radiance LAADS STAC Catalog 2002-05-17 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2151211533-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_1P is the short-name for the MERIS Level-1 full resolution, full swath, geolocated and calibrated top-of-atmosphere (TOA) radiance product. This product contains the TOA upwelling spectral radiance measurements. 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_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 -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.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 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 EO:EUM:CM:METOP:ASCSZRR02_2014-10-07 ASCAT L1 SZR 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/C1588901394-EUMETSAT.umm_json Reprocessed L1B data from the Advanced Scatterometer (ASCAT) on METOP-A, resampled at 12.5 km Swath Grid (SZR). 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 25 km Swath Grid. This is a Fundamental Climate Data Record (FCDR). proprietary @@ -320,159 +67,15 @@ EO:EUM:DAT:MULT:AHL-SSI_2011-11-29 Atlantic High Latitude Surface Shortwave Irra EO:EUM:DAT:MULT:AHL-SST_2011-11-29 Atlantic High Latitude Sea Surface Temperature - Multimission EUMETSAT STAC Catalog 2012-11-16 -90, 50, 90, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1239566384-EUMETSAT.umm_json Calculation of underskin temperature (°C) with multispectral algorithm. The product covers the Atlantic High Latitudes and is delivered twice daily on a 5km polar stereographic grid. proprietary ERS-1_L0_1 ERS-1_LEVEL0 ASF STAC Catalog 1991-08-08 1997-09-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1210197768-ASF.umm_json ERS-1 Standard Beam Level 0 Frame proprietary ERS-1_L1_1 ERS-1_LEVEL1 ASF STAC Catalog 1991-08-08 1997-09-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1211627521-ASF.umm_json ERS-1 Standard Beam Data Level 1 proprietary -FIFE_AF_DET_G_5_1 Aircraft Flux-Detrended: Univ. Col. (FIFE) ORNL_DAAC STAC Catalog 1987-05-26 1989-10-31 -102, 37, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C179003494-ORNL_DAAC.umm_json Detrended boundary layer fluxes recorded on aircraft flights over the Konza proprietary -FIFE_AF_DET_K_4_1 Aircraft Flux-Detrended: U of Wy. (FIFE) ORNL_DAAC STAC Catalog 1987-08-11 1989-10-31 -102, 37, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C179003698-ORNL_DAAC.umm_json Detrended boundary layer fluxes recorded on aircraft flights over the Konza proprietary -FIFE_AF_DET_M_3_1 Aircraft Flux-Detrended: NRCC (FIFE) ORNL_DAAC STAC Catalog 1987-06-26 1989-10-31 -102, 37, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C179003112-ORNL_DAAC.umm_json Detrended boundary layer fluxes recorded on aircraft flights over the Konza proprietary -FIFE_AF_FLT_G_8_1 Aircraft Flux-Filtered: Univ. Col. (FIFE) ORNL_DAAC STAC Catalog 1987-05-26 1989-10-31 -102, 37, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C179003697-ORNL_DAAC.umm_json Filtered boundary layer fluxes recorded on aircraft flights over the Konza proprietary -FIFE_AF_FLT_K_7_1 Aircraft Flux-Filtered: U of Wy. (FIFE) ORNL_DAAC STAC Catalog 1987-08-11 1989-10-31 -102, 37, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C179003237-ORNL_DAAC.umm_json Filtered boundary layer fluxes recorded on aircraft flights over the Konza proprietary -FIFE_AF_FLT_M_6_1 Aircraft Flux-Filtered: NRCC (FIFE) ORNL_DAAC STAC Catalog 1987-06-26 1989-10-31 -102, 37, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C179002951-ORNL_DAAC.umm_json Filtered boundary layer fluxes recorded on aircraft flights over the Konza proprietary -FIFE_AF_RAW_G_11_1 Aircraft Flux-Raw: Univ. Col. (FIFE) ORNL_DAAC STAC Catalog 1987-05-26 1989-10-31 -102, 37, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C179002741-ORNL_DAAC.umm_json Raw (unmodified) boundary layer fluxes recorded on aircraft flights over Konza proprietary -FIFE_AF_RAW_K_10_1 Aircraft Flux-Raw: U of Wy. (FIFE) ORNL_DAAC STAC Catalog 1987-08-11 1989-10-31 -102, 37, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C179002883-ORNL_DAAC.umm_json Raw (unmodified) boundary layer fluxes recorded on aircraft flights over Konza proprietary -FIFE_AF_RAW_M_9_1 Aircraft Flux-Raw: NRCC (FIFE) ORNL_DAAC STAC Catalog 1987-06-26 1989-10-31 -102, 37, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C179003273-ORNL_DAAC.umm_json Raw (unmodified) boundary layer fluxes recorded on aircraft flights over Konza proprietary -FIFE_AMS_DATA_12_1 AMS (Automated Met Station) Data (FIFE) ORNL_DAAC STAC Catalog 1987-05-01 1989-11-10 -96.61, 38.98, -96.47, 39.12 https://cmr.earthdata.nasa.gov/search/concepts/C179003615-ORNL_DAAC.umm_json 30 minute average meteorological data from NCARs Portable Automated Mesonet Station proprietary -FIFE_RAIN_30M_2_1 30 Minute Rainfall Data (FIFE) ORNL_DAAC STAC Catalog 1987-05-29 1987-10-26 -96.6, 39.08, -96.55, 39.11 https://cmr.earthdata.nasa.gov/search/concepts/C179002914-ORNL_DAAC.umm_json 30 minute rainfall data for the Konza Prairie proprietary -FIFE_STRM_15M_1_1 15 Minute Stream Flow Data: USGS (FIFE) ORNL_DAAC STAC Catalog 1984-12-25 1988-03-04 -96.6, 39.1, -96.6, 39.1 https://cmr.earthdata.nasa.gov/search/concepts/C179003030-ORNL_DAAC.umm_json USGS 15 minute stream flow data for Kings Creek on the Konza Prairie proprietary -G01378_1 Airborne Surface Profiling of Alaskan Glaciers, 1994 - 2001, Version 1 NSIDCV0 STAC Catalog 1994-05-01 2001-06-30 -149.25, 57, -132.33, 61.5 https://cmr.earthdata.nasa.gov/search/concepts/C2205521521-NSIDCV0.umm_json This data set consists of glacier outline, laser altimetry profile, and surface elevation change data for 46 glaciers in Alaska and British Columbia, Canada, measured with an airborne laser altimetry system. Six glaciers in the Alaska Range of central Alaska, two glaciers in the Wrangell Mountains of southcentral Alaska, 11 glaciers in the Chugach Mountains of southcentral Alaska, five glaciers in the Chigmit Mountains of southcentral Alaska, 13 glaciers in the Kenai Mountains of southcentral Alaska (comprising the Harding Icefield), one glacier in the St. Elias Mountains of southeast Alaska, one glacier in the Takhinsha Mountains of southeast Alaska, and seven glaciers in the Coast Mountains of southeast Alaska and British Columbia were profiled between 1994 and 2001. Surface elevation profiles are accurate to about 0.3 m. Long-term elevation changes can be estimated by comparison of these profiles with existing maps. proprietary -G02191_1 AIDJEX Beaufort Sea Upward Looking Sonar April 1976, Version 1 NSIDCV0 STAC Catalog 1976-04-07 1976-04-10 -155, 70, -137, 76 https://cmr.earthdata.nasa.gov/search/concepts/C1386206523-NSIDCV0.umm_json "This data contains Upward Looking Sonar (ULS) profiles of the underside of the Arctic pack ice along three transects whose total length is 777 nautical miles. The data were obtained by the USS Gurnard (SSN-662), a U.S. Navy submarine, on a traverse of the AIDJEX Main Experiment area in the Beaufort Sea from 07 April 1976 to 10 April 1976. The sea ice thickness derived from the ULS is given in feet. The data are in a single ASCII text file: Aidjex_04_1976_uls.txt. The data in this text file are not formatted into columns; all data are presented in one long row separated by spaces. Little is known about the format of the file, so caution should be used when working with the data. NSIDC is providing this data as part of our effort to preserve historical data. The data file begins with nine values that appear to be header information. These nine values include latitude and longitude values along with other unknown values. After the header, there are approximately 2100 measurements of what NSIDC believes is sea ice thickness in feet, however it is unclear how often these measurements were taken. After these 2100 values, another header of nine values occurs followed again by 2100 measurements. The file continues in this pattern through the remainder of the file. Users with information about the contents of the file are encouraged to contact NSIDC User Services. Two supporting documents that provide some background have been scanned and included as PDF files. These are AIDJEX_ULS_background.pdf and AIDJEX_ULS_format.pdf. These data are available via FTP. Note: These data are in a raw format with unknown fields and are being provided as is for preservation purposes. A processed version of the data are available in the Submarine Upward Looking Sonar Ice Draft Profile Data and Statistics data set." proprietary -G5NR_1 GEOS-5 Nature Run data NCCS STAC Catalog 2005-05-15 2007-06-16 -180, 90, 179.9375, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1634215803-NCCS.umm_json This specific GEOS-5 model configuration used to perform a two-year global, non-hydrostatic mesoscale simulation for the period 2005-2007 at 7-km (3.5-km in the future) horizontal resolution. Because this simulation is intended to serve as a reference Nature Run for Observing System Simulation Experiments (OSSEs, e.g., Errico et al., 2012) it will be referred to as the 7-km GEOS-5 Nature Run or 7-km G5NR. This simulation has been performed with the Ganymed version of GEOS- 5, more specifically with CVS Tag wmp-Ganymed-4_0_BETA8. In addition to standard meteorological parameters (wind, temperature, moisture, surface pressure), this simulation includes 15 aerosol tracers (dust, sea-salt, sulfate, black and organic carbon), O3, CO and CO2. This model simulation is driven by prescribed sea-surface temperature and sea-ice, as well as surface emissions and uptake of aerosols and trace gases, including daily volcanic and biomass burning emissions, biogenic sources and sinks of CO2, and high-resolution inventories of anthropogenic sources.The simulation is performed at a horizontal resolution of 7 km using a cubed-sphere horizontal grid with 72 vertical levels, extending up to to 0.01 hPa (~ 80 km). For user convenience, all data products are generated on two logically rectangular longitude-latitude grids: a full-resolution 0.0625o grid that approximately matches the native cubed-sphere resolution, and another 0.5o reduced-resolution grid. The majority of the full-resolution data products are instantaneous with some fields being time-averaged. The reduced-resolution datasets are mostly time-averaged, with some fields being instantaneous. Hourly data intervals are used for the reduced-resolution datasets, while 30-minute intervals are used for the full-resolution products. All full-resolution output is on the model’s native 72-layer hybrid sigma-pressure vertical grid, while the reduced-resolution output is given on native vertical levels and on 48 pressure surfaces extending up to 0.02 hPa. Section 4 presents additional details on horizontal and vertical grids. proprietary GE01_MSI_L1B_1 GeoEye-1 Level 1B Multispectral 4-Band Satellite Imagery CSDA STAC Catalog 2009-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2471470251-CSDA.umm_json The GeoEye-1 Level 1B Multispectral 4-Band L1B Satellite Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery is collected by the GeoEye-1 satellite using the GeoEye-1 Imaging System across the global land surface from September 2008 to the present. This satellite imagery is in the visible and near-infrared waveband range with data in the blue, green, red, and near-infrared wavelengths. The imagery has a spatial resolution of 1.84m at nadir (1.65m before summer 2013) and has 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 GE01_Pan_L1B_1 GeoEye-1 Level 1B Panchromatic Satellite Imagery CSDA STAC Catalog 2009-09-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2497510652-CSDA.umm_json The GeoEye-1 Level 1B Panchromatic Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery is collected by the GeoEye-1 satellite using the GeoEye-1 Imaging System across the global land surface from September 2008 to the present. This data product includes panchromatic imagery with a spatial resolution of 0.46m at nadir (0.41m before summer 2013) 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 -GEOS FP_1 GEOS Forward Processing NCCS STAC Catalog 2014-02-20 -180, 90, 179.6875, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1634094157-NCCS.umm_json The GEOS FP Atmospheric Data Assimilation System (GEOS ADAS) uses an analysis developed jointly with NOAA’s National Centers for Environmental Prediction (NCEP), which allows the Global Modeling and Assimilation Office (GMAO) to take advantage of the developments at NCEP and the Joint Center for Satellite Data Assimilation (JCSDA). The GEOS AGCM uses the finite-volume dynamics (Lin, 2004) integrated with various physics packages (e.g, Bacmeister et al., 2006), under the Earth System Modeling Framework (ESMF) including the Catchment Land Surface Model (CLSM) (e.g., Koster et al., 2000). The GSI analysis is a three-dimensional variational (3DVar) analysis applied in grid-point space to facilitate the implementation of anisotropic, inhomogeneous covariances (e.g., Wu et al., 2002; Derber et al., 2003). The GSI implementation for GEOS FP incorporates a set of recursive filters that produce approximately Gaussian smoothing kernels and isotropic correlation functions. The GEOS ADAS is documented in Rienecker et al. (2008). More recent updates to the model are presented in Molod et al. (2011). The GEOS system actively assimilates roughly 2 ´ 106 observations for each analysis, including about 7.5 ´ 105 AIRS radiance data. The input stream is roughly twice this volume, but because of the large volume, the data are thinned commensurate with the analysis grid to reduce the computational burden. Data are also rejected from the analysis through quality control procedures designed to detect, for example, the presence of cloud. To minimize the spurious periodic perturbations of the analysis, GEOS FP uses the Incremental Analysis Update (IAU) technique developed by Bloom et al. (1996). proprietary -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 -GGD222_1 Active layer and permafrost properties, including snow depth, soil temperature, and soil moisture, Barrow, Alaska, Version 1 NSIDCV0 STAC Catalog 1962-01-01 1993-12-31 -156.78872, 71.29058, -156.78872, 71.29058 https://cmr.earthdata.nasa.gov/search/concepts/C1386206550-NSIDCV0.umm_json This data set contains soil temperature, soil moisture, thaw depth, and snow depth data collected at test sites near Barrow, Alaska, during the following years. Soil temperature data - 1963-1966, 1993 Soil moisture data - 1963 Thaw depth - 1962-1968, 1991-1993 Snow depth - 1963-1964 This study focused on characterizing the active soil layer at Barrow, and determining the relationships between and among these physical properties at permafrost sites in the Arctic. This site is U1 of the IPA's Circumpolar Active Layer Monitoring (CALM) Program and later measurements are available at the CALM Web site. proprietary -GGD239_1 Active layer physical processes at Broeggerhalvoya, western Spitsbergen, Version 1 NSIDCV0 STAC Catalog 1985-07-01 1986-06-30 12.462, 78.958, 12.462, 78.958 https://cmr.earthdata.nasa.gov/search/concepts/C1386206556-NSIDCV0.umm_json These data have been collected from an Arctic desert site (latitude 78o57'29N, longitude 12o27'42E), Broeggerhalvoya in western Spitsbergen, 10 km NW from Ny Alesund, 45 m above sea level, 2 km from the shore. This is a low relief tip of a bedrock peninsula covered with several meters of glacial drift and reworked raised beach ridges. The measurements are obtained in the site of well developed patterned ground, sorted polygons, where the influence of plants, including thermal insulation and transpiration, is negligible. The 1985-1986 period was average. Mean annual air temperature was -6.6 C, 0.4 C colder than the long-term (1975-1990) mean, but well within the mean variability. Mean winter air temperature is relatively warm (mean of coldest month, February, is -14.6 C). Annual precipitation was 17 % greater than the ong-term mean (372 mm); however, the number of rain-on-snow events was less (3) than average (5.5). Overall, the reference period is close to long-term averages. A program of automated soil temperature recordings was initiated in the summer of 1984, at a patterned ground field site Thermistors were placed approximately 0.1 m apart in an epoxy-filled PVC rod (18 mm outside diameter), buried in the center of a fine-grained domain of a sorted circle, down to 1.14 m below the ground surface. The data presented here covers 7/1/85-7/1/86, once a day (6 am), at two levels (0.0 m, 1.145 m below surface). The resolution of the thermistors is 0.004 C, and the accuracy is estimated to be 0.02 C near 0 C. Missing data accounts for less than 7 %. The gaps are filled with simple average of the beginning and end of the gap values. For a detailed description of the field site and data analysis see Putkonen (1997) and Hallet and Prestrud (1986). These data are presented on the CAPS Version 1.0 CD-ROM, June 1998. proprietary -GGD23_1 Active-Layer and Permafrost Temperatures, Sisimiut (Holsteinsborg), Greenland, Version 1 NSIDCV0 STAC Catalog 1967-09-01 1982-08-31 -53.64, 66.94, -53.64, 66.94 https://cmr.earthdata.nasa.gov/search/concepts/C1386206552-NSIDCV0.umm_json This data set contains active-layer and permafrost temperatures from Sisimiut, west Greenland, recorded from 18 sensors at depths of 0.25 m, 0.5 m, 0.75 m, 1 m, 1.25 m, 1.5 m, 1.75 m, 2 m, 2.5 m, 3 m, 3.5 m, 4 m, 4.5 m, 5 m, 6 m, 7 m, 8 m, and 9 m below the surface. Snow depth, snow extent, and surface air temperature were also recorded. Thermometers recorded temperatures once a day from September 1967 to August 1982; however, this data set only contains bi-weekly averages. Data are in tab-delimited ASCII text format and are available via FTP. proprietary -GGD249_1 Active layer thickness and ground temperatures, Svea, Svalbard, Version 1 NSIDCV0 STAC Catalog 1987-07-01 1996-05-31 16.683, 77.9, 16.683, 77.9 https://cmr.earthdata.nasa.gov/search/concepts/C1386206575-NSIDCV0.umm_json Snow and soil temperature records for January 1988 - May 1996 are presented. Included are snow depth and weight measurements, snow density (calculated), active layer depth in the frost tubes, weight of wet and dried soil samples from unknown depth within the active layer (water content calculated), and soil temperature at the surface (0.05 cm) and to the depths of 3 to 4 meters at 3 sites. The sites are 1) on a road covered by 1 m of gravel underlain by clay; 2) outside a building on piles, (sensors are placed 1 to 2 m from the building wall); and 3) under the building between piles. In addition, air temperature was measured inside the building or between the piles (documentation is not clear on this point.) There are several gaps in temperature measurements (January 1991 to May 1992). These data are presented on the CAPS CD-ROM version 1.0, June 1998. Air temperature, wind direction, and temperature were measured at 5, 20, 50, 100, 150, and 200 cm below the tundra surface at an undisturbed site; and at 5, 20, 50, 100, 150, 200 cm, and 3 m and 8 m below the concrete surface of a building. Incoming radiation, outgoing radiation, temperature of the heat flux instrument, global radiation, heat flux, wind speed, wind speed maximum, average wind speed, and temperature inside the building were measured since 1993 with data loggers. All data are recorded for July 1987 - February 1996. proprietary -GGD353_6 Active Layer Monitoring, Arctic and Subarctic Canada, Version 6 NSIDCV0 STAC Catalog 1991-01-01 2007-12-31 -134.95, 61.883, -121.6, 69.717 https://cmr.earthdata.nasa.gov/search/concepts/C1386206842-NSIDCV0.umm_json This project involves measuring regional and site variability in maximum annual active layer development and vertical surface movement over permafrost, and monitoring sites over time in order to observe trends. The project records maximum thaw penetration, maximum heave and subsidence, late season snow depths, current depth of thaw, elevation, and soil properties. Some sites are twinned with soil- and air-temperature recording equipment. The project includes about 60 monitoring stations extending from Fort Simpson, Canada, in the upper Mackenzie River valley to the Beaufort Sea coast at North Head, Richards Island, Canada. Ten of the sites are part of the IPA's Circumpolar Active Layer Monitoring (CALM) Program. CALM site numbers are in parentheses after the site names: North Head (C3), Taglu (C4), Lousy Point (C5), Reindeer Depot (C7), Rengleng River (C8), Mountain River (C9), Norman Wells (C11), Ochre River (C13), Willowlake River (C14), and Fort Simpson (C15). See the CALM Program Web page for geographic coordinates and site history for all CALM sites. These data are the property of the people of Canada and the responsibility of the Geological Survey of Canada. If published, adequate acknowledgment is expected. Please contact F. M. Nixon regarding use of the data set or access to the extended data. proprietary -GGD611_1 Air Temperatures at High Altitude, Kanchanjunga Himal, Eastern Nepal, Version 1 NSIDCV0 STAC Catalog 1998-11-04 1999-11-17 87.933, 27.65, 88.067, 27.8 https://cmr.earthdata.nasa.gov/search/concepts/C1386206883-NSIDCV0.umm_json This data set provides air temperature (1.5 m above ground surface) data from the Kanchanjunga Himal, eastern Nepal. Air temperature was monitored from November 1998 to November 1999 at three locations (Tengkoma, Lhonak, and Ghunsa) at altitudes of 3410, 4750 and 6012 m ASL. Although temperature was measured at one-hour intervals, only daily mean values are provided. proprietary -GGD622_1 Active-Layer Depth of a Finnish Palsa Bog, Version 1 NSIDCV0 STAC Catalog 1993-09-08 2002-10-14 27.17, 69.82, 27.17, 69.82 https://cmr.earthdata.nasa.gov/search/concepts/C1386206889-NSIDCV0.umm_json This data set contains 76 active-layer depth measurements (cm) of the Vaisjeäggi palsa bog, Finland, from 08 September 1993 to 14 October 2002. Data were collected from a single location at 69 deg 49'16.6' N, 27 deg 10'17.1' E. Data also contain snow depth (cm) when snow cover was present. Data are in tab-delimited ASCII text format, and are available via ftp. proprietary -GGD632_1 Active-Layer and Permafrost Temperatures, Soendre Stroemfjord, Greenland, Version 1 NSIDCV0 STAC Catalog 1967-09-06 1976-02-15 50.8, 67, 50.8, 67 https://cmr.earthdata.nasa.gov/search/concepts/C1386206903-NSIDCV0.umm_json This data set contains active-layer and permafrost temperatures from two stations in Soendre Stroemfjord, Greenland. Snow depth and snow extent were also recorded. Thermometers at Station A (67 deg N, 50.8 deg W, 50 m asl) recorded temperatures once a day from September 1967 to February 1976. Thermometers at Station B (67 deg N, 50.8 deg W, 38 m asl) recorded temperatures once a day from September 1967 to August 1970; however, only bi-weekly averages are given for Station B. Data are in tab-delimited ASCII text format and are available via FTP. proprietary -GISS-CMIP5_1 GISS ModelE2 contributions to the CMIP5 archive NCCS STAC Catalog 0850-01-01 2100-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1542315069-NCCS.umm_json We present a description of the ModelE2 version of the Goddard Institute for Space Studies (GISS) General Circulation Model (GCM) and the configurations used in the simulations performed for the Coupled Model Intercomparison Project Phase 5 (CMIP5). We use six variations related to the treatment of the atmospheric composition, the calculation of aerosol indirect effects, and ocean model component. Specifically, we test the difference between atmospheric models that have noninteractive composition, where radiatively important aerosols and ozone are prescribed from precomputed decadal averages, and interactive versions where atmospheric chemistry and aerosols are calculated given decadally varying emissions. The impact of the first aerosol indirect effect on clouds is either specified using a simple tuning, or parameterized using a cloud microphysics scheme. We also use two dynamic ocean components: the Russell and HYbrid Coordinate Ocean Model (HYCOM) which differ significantly in their basic formulations and grid. Results are presented for the climatological means over the satellite era (1980-2004) taken from transient simulations starting from the preindustrial (1850) driven by estimates of appropriate forcings over the 20th Century. Differences in base climate and variability related to the choice of ocean model are large, indicating an important structural uncertainty. The impact of interactive atmospheric composition on the climatology is relatively small except in regions such as the lower stratosphere, where ozone plays an important role, and the tropics, where aerosol changes affect the hydrological cycle and cloud cover. While key improvements over previous versions of the model are evident, these are not uniform across all metrics. proprietary -GLOBAL_LITTER_CARBON_NUTRIENTS_1244_1 A Global Database of Litterfall Mass and Litter Pool Carbon and Nutrients ORNL_DAAC STAC Catalog 1827-01-01 1997-12-31 -156.7, -54.5, 176.2, 72.5 https://cmr.earthdata.nasa.gov/search/concepts/C1227811476-ORNL_DAAC.umm_json Measurement data of aboveground litterfall and littermass and litter carbon, nitrogen, and nutrient concentrations were extracted from 685 original literature sources and compiled into a comprehensive database to support the analysis of global patterns of carbon and nutrients in litterfall and litter pools. Data are included from sources dating from 1827 to 1997. The reported data include the literature reference, general site information (description, latitude, longitude, and elevation), site climate data (mean annual temperature and precipitation), site vegetation characteristics (management, stand age, ecosystem and vegetation-type codes), annual quantities of litterfall (by class, kg m-2 yr-1), litter pool mass (by class and litter layer, kg m-2), and concentrations of nitrogen (N), phosphorus (P), and base cations for the litterfall (g m-2 yr-1) and litter pool components (g m-2). The investigators intent was to compile a comprehensive data set of individual direct field measurements as reported by researchers. While the primary emphasis was on acquiring C data, measurements of N, P, and base cations were also obtained, although the database is sparse for elements other than C and N. Each of the 1,497 records in the database represents a measurement site. Replicate measurements were averaged according to conventions described in Section 5 and recorded for each site in the database. The sites were at 575 different locations. proprietary -GMAO-CMIP5_1 GMAO Decadal Analysis & Prediction for CMIP5 NCCS STAC Catalog 1961-01-01 2019-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1542704969-NCCS.umm_json Studies of change and variations on decadal timescales are essential for planning satellite missions that seek to improve our understanding of linkages among various components of the Earth System. Decadal predictions using a version of the GEOS-5 AOGCM were contributed to the CMIP5 project. The dataset include a three-member ensemble initialized on December 1 of each year from 1960 to 2010. These data are available, with the designation NASA GMAO, from the CMIP5 Archive at NASA NCCS. proprietary -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 -Global_Microbial_Biomass_C_N_P_1264_1 A Compilation of Global Soil Microbial Biomass Carbon, Nitrogen, and Phosphorus Data ORNL_CLOUD STAC Catalog 1977-11-16 2012-06-01 -180, -90, 177.9, 79 https://cmr.earthdata.nasa.gov/search/concepts/C2216863966-ORNL_CLOUD.umm_json This data set provides the concentrations of soil microbial biomass carbon (C), nitrogen (N) and phosphorus (P), soil organic carbon, total nitrogen, and total phosphorus at biome and global scales. The data were compiled from a comprehensive survey of publications from the late 1970s to 2012 and include 3,422 data points from 315 papers. These data are from soil samples collected primarily at 0-15 cm depth with some from 0-30 cm. In addition, data were compiled for soil microbial biomass concentrations from soil profile samples to depths of 100 cm. Sampling site latitude and longitude were available for the majority of the samples that enabled assembling additional soil properties, site characteristics, vegetation distributions, biomes, and long-term climate data from several global sources of soil, land-cover, and climate data. These site attributes are included with the microbial biomass data. This data set contains two *.csv files of the soil microbial biomass C, N, P data. The first provides all compiled results emphasizing the full spatial extent of the data, while the second is a subset that provides only data from a series of profile samples emphasizing the vertical distribution of microbial biomass concentrations.There is a companion file, also in .csv format, of the references for the surveyed publications. A reference_number relates the data to the respective publication.The concentrations of soil microbial biomass, in combination with other soil databases, were used to estimate the global storage of soil microbial biomass C and N in 0-30 cm and 0-100 cm soil profiles. These storage estimates were combined with a spatial map of 12 major biomes (boreal forest, temperate coniferous forest, temperate broadleaf forest, tropical and subtropical forests, mixed forest, grassland, shrub, tundra, desert, natural wetland, cropland, and pasture) at 0.05-degree by 0.5-degree spatial resolution. The biome map and six estimates of C and N storage and C:N ration in soil microbial biomass are provided in a single netCDF format file. proprietary -Global_Phosphorus_Hedley_Fract_1230_1 A Global Database of Soil Phosphorus Compiled from Studies Using Hedley Fractionation ORNL_CLOUD STAC Catalog 1985-01-01 2010-12-31 -117.86, -42.5, 117.6, 63.23 https://cmr.earthdata.nasa.gov/search/concepts/C2216863440-ORNL_CLOUD.umm_json This data set provides concentrations of soil phosphorus (P) compiled from the peer-reviewed literature that cited the Hedley fractionation method (Hedley and Stewart, 1982). This database contains estimates of different forms of naturally occurring soil phosphorus, including labile inorganic P, organic P, occluded P, secondary mineral P, apatite P, and total P, based on the analyses of the various Hedley soil fractions.The recent literature survey (Yang and Post, 2011) was restricted to studies of natural, unfertilized, and uncultivated soils since 1995. Ninety measurements of soil P fractions were identified. These were added to the 88 values from soils in natural ecosystems that Cross and Schlesinger (1995) had compiled. Cross and Schlesinger provided a comprehensive survey on Hedley P data prior to 1995. Measurement data are provided for studies published from 1985 through 2010. In addition to the Hedley P fraction measurement data Yang and Post (2011) also compiled information on soil order, soil pH, organic carbon and nitrogen content, as well as the geographic location (longitude and latitude) of the measurement sites. proprietary -Global_RTSG_Flux_1078_1 A Global Database of Gas Fluxes from Soils after Rewetting or Thawing, Version 1.0 ORNL_CLOUD STAC Catalog 1956-01-01 2009-12-31 -149.63, -36.45, 160.52, 74.5 https://cmr.earthdata.nasa.gov/search/concepts/C2216863284-ORNL_CLOUD.umm_json This database contains information compiled from published studies on gas flux from soil following rewetting or thawing. The resulting database includes 222 field and laboratory observations focused on rewetting of dry soils, and 116 field laboratory observations focused on thawing of frozen soils studies conducted from 1956 to 2010. Fluxes of carbon dioxide, methane, nitrous oxide, nitrogen oxide, and ammonia (CO2, CH4, N2O, NO and NH3) were compiled from the literature and the flux rates were normalized for ease of comparison. Field observations of gas flux following rewetting of dry soils include events caused by natural rainfall, simulated rainfall in natural ecosystems, and irrigation in agricultural lands. Similarly, thawing of frozen soils include field observations of natural thawing, simulated freezing-thawing events (i.e., thawing of simulated frozen soil by snow removal), and thawing of seasonal ice in temperate and high latitude regions (Kim et al., 2012). Reported parameters include experiment type, location, site type, vegetation, climate, soil properties, rainfall, soil moisture, soil gas flux after wetting and thawing, peak soil gas flux properties, and the corresponding study references. There is one comma-delimited data file. proprietary GreenBay_0 2010 Measurements made in Green Bay, Wisconsin OB_DAAC STAC Catalog 2010-09-17 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360352-OB_DAAC.umm_json Measurements made in Green Bay, Wisconsin in 2010. 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 IMS1_HYSI_GEO_1.0 IMS-1 HYSI TOA Radiance and Reflectance Product ISRO STAC Catalog 2008-06-22 2012-09-10 -6.0364, -78.8236, 152.6286, 78.6815 https://cmr.earthdata.nasa.gov/search/concepts/C1214622602-ISRO.umm_json The data received from IMS1, HySI which operates in 64 spectral bands in VNIR bands(400-900nm) with 500 meter spatial resolution and swath of 128 kms. proprietary -ISERV_1 International Space Station SERVIR Environmental Research and Visualization System V1 USGS_EROS STAC Catalog 2013-03-27 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1379906336-USGS_EROS.umm_json Abstract: The ISS SERVIR Environmental Research and Visualization System (ISERV) acquired images of the Earth's surface from the International Space Station (ISS). The goal was to improve automatic image capturing and data transfer. ISERV's main component was the optical assembly which consisted of a 9.25 inch Schmidt-Cassegrain telescope, a focal reducer (field of view enlarger), a digital single lens reflex camera, and a high precision focusing mechanism. A motorized 2-axis pointing mount allowed pointing at targets approximately 23 degrees from nadir in both along- and across-track directions. proprietary -IXBMIB2E_3 MISR L1B2 Ellipsoid Product subset for the INTEX-B region V003 LARC STAC Catalog 2006-02-28 2006-04-03 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000000300-LARC.umm_json This file contains Ellipsoid-projected TOA Radiance,resampled at the surface and topographically corrected, as well as geometrically corrected by PGE22 for the INTEXB_2006 theme. proprietary -IXBMIB2T_3 MISR L1B2 Terrain Product subset for the INTEX-B region V003 LARC STAC Catalog 2006-02-28 2006-04-03 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000000281-LARC.umm_json This file contains Terrain-projected TOA Radiance,resampled at the surface and topographically corrected, as well as geometrically corrected by PGE22 for the INTEXB_2006 theme. proprietary -IXBMIGEO_2 MISR Geometric Parameters subset for the INTEX-B region V002 LARC STAC Catalog 2006-02-28 2006-04-03 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000000301-LARC.umm_json This file contains the Geometric Parameters which measure the sun and view angles at the reference ellipsoid for the INTEXB_2006 theme. proprietary K1VHR_L02_OLR_Not provided KALPANA-1 Level-2B Outgoing Longwave Radiation ISRO STAC Catalog 2008-05-06 0.843296, -81.04153, 163.15671, 81.04153 https://cmr.earthdata.nasa.gov/search/concepts/C1214622569-ISRO.umm_json Kalpana-1 VHRR Level-2B Outgoing Longwave Radation (OLR) in HDF-5 Format 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 -KOPRI-KPDC-00000004_1 2002 Seismic Data, Antarctica AMD_KOPRI STAC Catalog 2002-12-18 2002-12-21 -50.500417, -60.016, -47.001556, -59.247 https://cmr.earthdata.nasa.gov/search/concepts/C2244294924-AMD_KOPRI.umm_json "Korean Antarctic survey carried out as part of step 3 project in year 3 of ‘The Antarctic Undersea Geological Survey’ was conducted in the Powell Basin(Ⅲ) of the northern Weddell Sea, Antarctica. The research period was from 16 Dec. to 23 Dec. (8 days) in 2002. After geophysical research including acquisition of multi-channel seismic data as well as geomagnatic data, a drilling investigation was conducted in coring point was decided from combined geophysical data. We took on lease Russian ""Yuzhmorgeologiya""(5500 ton, ice strengthed vessel) and 7 researchers from ‘Korea Ocean Research and Development Institute’ participated in the cruise." proprietary -KOPRI-KPDC-00000005_1 2001 Seismic Data, Antarctica AMD_KOPRI STAC Catalog 2001-12-15 2001-12-19 -52.37845, -62.5604, -49.249567, -59.814483 https://cmr.earthdata.nasa.gov/search/concepts/C2244294933-AMD_KOPRI.umm_json "Korean Antarctic survey carried out as part of step 3 project in year 2 of ‘The Antarctic Undersea Geological Survey’ was conducted in the Powell Basin of the northern Weddell Sea, Antarctica. The research period was from 15 Dec. to 21 Dec. (7 days) in 2001. After geophysical research including acquisition of multichannel seismic data as well as geomagnatic data, a drilling investigation was conducted in coring point was decided from combined geophysical data. 10 researchers from ‘Korea Ocean Research and Development Institute’ and an out-of-the-way researcher participated in the cruise. We took on lease Russian ""Yuzhmorgeologiya""." proprietary -KOPRI-KPDC-00000007_1 2000 Seismic Data, Antarctica AMD_KOPRI STAC Catalog 2000-12-04 2000-12-08 -52.378444, -62.5604, -49.249567, -59.814639 https://cmr.earthdata.nasa.gov/search/concepts/C2244292500-AMD_KOPRI.umm_json "Korean Antarctic survey carried out as part of step 3 project in year 1 of ‘The Antarctic Undersea Geological Survey’ was conducted in the Powell Basin of the northern Weddell Sea, Antarctica. The research period was from 3 Dec. to 11 Dec. (9 days) in 2000. After geophysical research including acquisition of seismic data, submarine topography, geomagnatic data was conducted in coring point was decided from combined geophysical data. We took on lease Russian icebreaker ""Yuzhmorgeologiya"" and 13 researcher from ‘Korea Ocean Research and Development Institute’ including a field winter researcher in the cruise. Due to a lot of icebergs and floating ice in the area, the originally planned survey of the side lines is impossible. A survey was conducted on the modified side lines." proprietary -KOPRI-KPDC-00000008_1 1998 Seismic Data, Antarctica AMD_KOPRI STAC Catalog 1998-12-07 1998-12-11 -66.266667, -64.616667, -64.416667, -62.995 https://cmr.earthdata.nasa.gov/search/concepts/C2244292774-AMD_KOPRI.umm_json "Korean Antarctic survey carried out as part of step 2 project in year 2 of 'the Antarctic Undersea Geological Survey' was conducted in the Ⅱ region around the northwestern continent of the Antarctic Peninsula. This area is northwest of Anvers Island, including areas around the pericontinent from the continental shelf to the continental rise zone. The investigation period for this project took a total of 8 days for moving navigation, the survey of the side lines and drilling investigation. After seismic investigation, a surface drilling investigation was conducted in coring point was decided from the reference seismic section. 10 researcher from ‘Korea Ocean Research and Development Institute’ participated in the field survey. We took on lease Russian icebreaker ""Yuzhmorgeologiya""." proprietary -KOPRI-KPDC-00000009_1 1997 Seismic Data, Antarctica AMD_KOPRI STAC Catalog 1997-12-23 1997-12-28 -64.699722, -63.525, -62.157778, -62.041389 https://cmr.earthdata.nasa.gov/search/concepts/C2244293126-AMD_KOPRI.umm_json Korean Antarctic survey carried out as part of step 2 project in year 1 of ‘The Antarctic Undersea Geological Survey’ in 1997 was conducted in a continental shelf in the northwestern part of the Antarctic Peninsula. The research period took a total of 8 days, including 6 days for the seismic survey and 2 days for the drilling investigation. We took on lease Norway R/V 'Polar Duke' and 10 researchers from ‘Korea Ocean Research and Development Institute’ participated as field investigation personnel. The Teac single-channel recorder, EPC Recorder, Q/C MicroMax system etc. was used mainly by Sleeve gun used as a sound source, compressor for creating compressed air, DFS-V Recorder for multi-channel Seismic record, 12 –channel geophone of seismic streamers. Additional Gravity Core was used for sediment research through drilling. proprietary -KOPRI-KPDC-00000011_1 1996 Seismic Data, Antarctica AMD_KOPRI STAC Catalog 1996-12-17 1996-12-26 -62.766667, -63.583333, -60.233333, -62.733333 https://cmr.earthdata.nasa.gov/search/concepts/C2244293499-AMD_KOPRI.umm_json "Korean Antarctic survey carried out as in year 3 project of 'the Antarctic Undersea Geological Survey' was conducted in the basin region of western part of the Bransfeed Strait between the Antarctic Peninsula and the South Shetland Islands . During the field investigation, the seismic investigation and the drilling investigation was conducted at the same time. The investigation period took 9 days. 10 researchers from ‘Korea Ocean Research and Development Institute’ and 3 academic personnel participated in the cruise as field investigation personnel. We took on lease Russian R/V ""Yuzhmorgeologiya"" which is marine geology, geophysical survey vessel and Icebreaker." proprietary -KOPRI-KPDC-00000012_1 1995 Seismic Data, Antarctica AMD_KOPRI STAC Catalog 1995-12-13 1995-12-18 -58.335, -62.984444, -54.101944, -61.301111 https://cmr.earthdata.nasa.gov/search/concepts/C2244291641-AMD_KOPRI.umm_json "Korean Antarctic survey carried out as in year 2 project of ""Antarctic submarine topography and sediment investigation"", The Field Survey of Antarctica was conducted at the end of 1995 was conducted the multi-channel Seismic Investigation and the drilling Investigation in the eastern part of the Bransfield Strait between the Antarctic Peninsula and the South Shetland Islands and near Sejong Station. We took on lease Russian R/V ""Yuzhmorgeologiya"" which is marine geology, geophysical survey vessel and Icebreaker for field investigation." proprietary -KOPRI-KPDC-00000014_1 1994 Seismic Data, Antarctica AMD_KOPRI STAC Catalog 1994-12-19 1994-12-27 -59.352778, -63.060278, -56.167778, -62.030833 https://cmr.earthdata.nasa.gov/search/concepts/C2244291414-AMD_KOPRI.umm_json Korean Antarctic survey carried out as in year 1 of 'the Antarctic Undersea Geological Survey' was conducted at the end of 1994 was conducted Multi-channel Seismic Investgation and Drilling investigation in the central basin of the Bransfield Strait was located in between the Antarctic Peninsula and the South Shetland Islands and the Maxwell Bay area near Sejong Station. The field research was conducted wih other research at the same time. The research period was from 11 Dec. in 1994 to 23 Jan. in 1995 (13 days). - Korean Antarctic survey carried out as part of step 1 project in year 1 to investigate the possibility of oil resources in the Bransfield Strait of Antarctica. - Securing data for tectonic settings research in the same region. - Obtaining basic data for understanding marine geology and sedimentary layers in the same region. proprietary -KOPRI-KPDC-00000015_1 1999 Seismic Data, Antarctica AMD_KOPRI STAC Catalog 1999-12-29 2000-01-01 -69.238889, -65.787222, -66.314722, -63.994444 https://cmr.earthdata.nasa.gov/search/concepts/C2244293812-AMD_KOPRI.umm_json Korean Antarctic survey carried out as part of step 2 project in year 3 of 'The Antarctic Undersea Geological Survey' in 1999 was conducted in the periphery of the continent near Anvers Island in the northwestern part of the Antarctic Peninsula. The research period was from 27 Dec. in 1999 to 3 Jan. in 2000 (8 days). After a geophysical survey was conducted to obtain data such as seismic, submarine topography, gravity, terrestrial magnetism, drilling investigation was conducted in the coring point was decided from combined geophysics data. 13 researchers from ‘Korea Ocean Research and Development Institute’ and an out-of-the-way researcher participated for field investigation members. We used a 'Onnuri', of 'the Korea Ocean Research Institute' to be used for Antarctic research since 1993. proprietary -KOPRI-KPDC-00000043_1 2000 Sediment Core, Antarctica AMD_KOPRI STAC Catalog 2000-12-08 2000-12-10 -68.527222, -65.264722, -66.956111, -64.021389 https://cmr.earthdata.nasa.gov/search/concepts/C2244294957-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in the northern Powell Basin of the Weddell Sea. The research period was from 3 Nov. to 11 Dec. (9 days) in 2000. We took on lease Russian R/V ""Yuzhmorgeologiya"" (5500 ton, ice strengthed vessel) and 12 researchers participated in the cruise, including the acquisition of multichannel seismic, bathymetry, and magnetometer as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic and SBP surveys) 2. Paleoceanographic researches" proprietary -KOPRI-KPDC-00000044_1 2001 Sediment Core, Antarctica AMD_KOPRI STAC Catalog 2001-12-19 2001-12-21 -58.026667, -61.925556, -52.468056, -60.802778 https://cmr.earthdata.nasa.gov/search/concepts/C2244294981-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in the northern Powell Basin of the Weddell Sea. The research period was from 15 Dec. to 21 Dec. (7 days) in 2001. We took on lease Russian R/V ""Yuzhmorgeologiya"" (5500 ton, ice strengthed vessel) and 11 researchers participated in the cruise, including acquisition of multichannel seismic and magnetometer as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic and SBP surveys) 2. Paleoceanographic researches" proprietary -KOPRI-KPDC-00000045_1 2002 Sediment Core, Antarctica AMD_KOPRI STAC Catalog 2002-12-21 2002-12-22 -51.625833, -62.175, -49.593889, -60.658889 https://cmr.earthdata.nasa.gov/search/concepts/C2244294992-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in the Powell Basin (III region) of the northern Weddell Sea. The research period was from 16 Dec. to 23 Dec. (8 days) in 2002. We took on lease Russian R/V ""Yuzhmorgeologiya"" (5500 ton, ice strengthed vessel) and 7 researchers participated in the cruise, including acquisition of multichannel seismic as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic and SBP surveys) 2. Paleoceanographic researches" proprietary -KOPRI-KPDC-00000046_1 2003 Sediment Core, Antarctica AMD_KOPRI STAC Catalog 2003-12-18 2003-12-19 -49.607778, -59.492778, -49.607778, -59.492778 https://cmr.earthdata.nasa.gov/search/concepts/C2244295005-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in the Powell Basin (IV region) of the northern Weddell Sea. The research period was from 24 Nov. to 9 Dec. (15 days) in 2003. We took on lease Russian R/V ""Yuzhmorgeologiya"" (5500 ton, ice strengthed vessel) and 12 researchers participated in the cruise, including acquisition of multichannel seismic as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic and SBP surveys) 2. Paleoceanographic researches" proprietary -KOPRI-KPDC-00000051_1 1994 Sediment Core, Antarctica AMD_KOPRI STAC Catalog 1994-12-31 1995-01-02 -58.026667, -62.42, -57.739722, -62.32 https://cmr.earthdata.nasa.gov/search/concepts/C2244291543-AMD_KOPRI.umm_json "For the first year of study ""The Antarctic Undersea Geological Survey"", The Field Survey of Antarctica was conducted at the end of 1994 was conducted multi-channel seismic Investigation and drilling Investigation in the central basin of the Bransfield Strait was located in between the south Shetland Islands and the Antarctic peninsula and Maxwell bay area near Sejong Station. The field investigation was conducted research projects at the same time took 13 days from 11 Dec. in 1994 to 23 Jan. in 1995. - Korean Antarctic survey carried out as part of step 1 project in year 1 to investigate the possibility of oil resources in the Bransfield Strait of Antarctica. - Securing data for tectonic settings research in the same region. - Obtaining basic data for understanding marine geology and sedimentary layers in the same region." proprietary -KOPRI-KPDC-00000052_1 1995 Sediment Core, Antarctica AMD_KOPRI STAC Catalog 1995-12-19 1995-12-23 -55.951111, -61.969167, -55.051111, -61.951111 https://cmr.earthdata.nasa.gov/search/concepts/C2244291581-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in the east basin of the Bransfield Strait between the Antarctic peninsula and south Shetland Islands and Maxwell Bay located at Sejong Station was conducted multi-channel seismic investigation and drilling investigation. We took on lease Russian ""Yuzhmorgeologiya""(5500 ton, ice strengthed vessel) which is marine geology, geophysical survey vessel and Icebreaker for field investigation." proprietary -KOPRI-KPDC-00000053_1 1996 Sediment Core, Antarctica AMD_KOPRI STAC Catalog 1996-12-16 1996-12-16 -60.151944, -62.100278, -59.717778, -62.051389 https://cmr.earthdata.nasa.gov/search/concepts/C2244291950-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in west of the Bransfeed Strait, a basin between the Antarctic Peninsula and the south Shetland Islands. It tooks 9 days. seismic investigation and drilling investigation were conducted at the same time during the field survey. We took on lease Russian R/V ""Yuzhmorgeologiya"" which is marine geology, geophysical survey vessel and Icebreaker and 10 researchers from ‘Korea Ocean Research and Development Institute’ and 3 academic personnel participated in the cruise as field investigation personnel." proprietary -KOPRI-KPDC-00000054_1 1997 Sediment Core, Antarctica AMD_KOPRI STAC Catalog 1997-12-28 1997-12-29 -63.396667, -63.886111, -62.700833, -62.536389 https://cmr.earthdata.nasa.gov/search/concepts/C2244292254-AMD_KOPRI.umm_json Korean Antarctic survey was conducted in 1997 carried out in a continental shelf in the northwestern part of the Antarctic Peninsula. It took 2 days. We took on lease Norway R/V 'Polar Duke' and 11 researchers from ‘Korea Ocean Research and Development Institute’ participated as field investigation personnel. The Teac single-channel recorder, EPC Recorder, Q/C MicroMax system etc. was used mainly by Sleeve gun used as a sound source, compressor for creating compressed air, DFS-V Recorder for multi-channel Seismic record, 12-channel geophone of seismic streamers. Additional Gravity Core was used for sediment research through drilling. proprietary -KOPRI-KPDC-00000055_1 1998 Sediment Core, Antarctica AMD_KOPRI STAC Catalog 1998-12-11 1998-12-12 -66.32, -63.95, -63.47, -62.943333 https://cmr.earthdata.nasa.gov/search/concepts/C2244294165-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in the continental margin (II region) of the northwestern Antarctic Peninsula. We took on lease Russian R/V ""Yuzhmorgeologiya"" (5500 ton, ice strengthed vessel) and 10 researchers participated in the cruise, including acquisition of multichannel seismic, gravity, and magnetometer as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic and SBP surveys) 2. Paleoceanographic researches" proprietary -KOPRI-KPDC-00000056_1 1999 Sediment Core, Antarctica AMD_KOPRI STAC Catalog 2000-01-01 2000-01-03 -66.32, -63.95, -63.47, -62.943333 https://cmr.earthdata.nasa.gov/search/concepts/C2244294945-AMD_KOPRI.umm_json "Korean Antarctic survey was conducted in the continental margin off the Anvers Island of the northwestern Antarctic Peninsula. The research period was from 25 Nov. in 1999 to 3 Jan. in 2000 (8 days). We took on Korean R/V ""Onnuri"" (KORDI) and 13 researchers participated in the cruise, including acquisition of multichannel seismic, gravity, and magnetometer as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic, SBP, gravity, and magnetometer surveys) 2. Paleoceanographic researches" 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 -LAI_WOODY_PLANTS_1231_1 A Global Database of Field-observed Leaf Area Index in Woody Plant Species, 1932-2011 ORNL_DAAC STAC Catalog 1932-01-01 2011-12-31 -164.78, -54.2, 175.62, 78.42 https://cmr.earthdata.nasa.gov/search/concepts/C179130805-ORNL_DAAC.umm_json This data set provides global leaf area index (LAI) values for woody species. The data are a compilation of field-observed data from 1,216 locations obtained from 554 literature sources published between 1932 and 2011. Only site-specific maximum LAI values were included from the sources; values affected by significant artificial treatments (e.g. continuous fertilization and/or irrigation) and LAI values that were low due to drought or disturbance (e.g. intensive thinning, wildfire, or disease), or because vegetation was immature or old/declining, were excluded (Lio et al., 2014). To maximize the generic applicability of the data, original LAI values from source literature and values standardized using the definition of half of total surface area (HSA) are included. Supporting information, such as geographical coordinates of plot, altitude, stand age, name of dominant species, plant functional types, and climate data are also provided in the data file. There is one data file in comma-separated (.csv) format with this data set and one companion file which provides the data sources. proprietary -LEAF_CARBON_NUTRIENTS_1106_1 A Global Database of Carbon and Nutrient Concentrations of Green and Senesced Leaves ORNL_DAAC STAC Catalog 1970-01-01 2009-12-31 -159.7, -50, 176.9, 68.5 https://cmr.earthdata.nasa.gov/search/concepts/C179003380-ORNL_DAAC.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_DAAC STAC Catalog 1993-01-01 2010-12-31 -122.4, -43.2, 176.13, 58.42 https://cmr.earthdata.nasa.gov/search/concepts/C179126725-ORNL_DAAC.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 -M1_ AVH02C1_6 METOP-B AVHRR Top-of-Atmosphere Reflectance Daily L3 Global 0.05 Deg. CMG LAADS STAC Catalog 2013-01-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2751091676-LAADS.umm_json The Long-Term Data Record (LTDR) produces, validates, and distributes a global land surface climate data record (CDR) that uses both mature and well-tested algorithms in concert with the best-available polar-orbiting satellite data from past to the present. The CDR is critically important to studying global climate change. The LTDR project is unique in that it serves as a bridge that connects data derived from the NOAA Advanced Very High Resolution Radiometer (AVHRR), the EOS Moderate resolution Imaging Spectroradiometer (MODIS), the Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS), and Joint Polar Satellite System (JPSS) VIIRS missions. The LTDR draws from the following eight AVHRR missions: NOAA-7, NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-18, NOAA-19, and MetOp-B. Currently, the project generates a daily surface reflectance product as the fundamental climate data record (FCDR) and derives daily Normalized Differential Vegetation Index (NDVI) and Leaf-Area Index/fraction of absorbed Photosynthetically Active Radiation (LAI/fPAR) as two thematic CDRs (TCDR). LAI/fPAR was developed as an experimental product. The METOP-B AVHRR Top-of-Atmosphere Reflectance Daily L3 Global 0.05 Deg CMG, short-name M1_AVH02C1 is generated from GIMMS Advanced Processing System (GAPS) BRDF-corrected Surface Reflectance product (AVH01C1). The M1_AVH02C1 consist of Top-of-atmosphere reflectance for bands 1 and 2, data Quality flags, angles (solar zenith, view zenith, and relative azimuth), thermal data (thermal bands 3, 4 and 5), and additional data (scan time). proprietary -M1_ AVH09C1_6 METOP-B AVHRR Atmospherically Corrected Surface Reflectance Daily L3 Global 0.05 Deg CMG LAADS STAC Catalog 2013-01-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2187507677-LAADS.umm_json The Long-Term Data Record (LTDR) produces, validates, and distributes a global land surface climate data record (CDR) that uses both mature and well-tested algorithms in concert with the best-available polar-orbiting satellite data from past to the present. The CDR is critically important to studying global climate change. The LTDR project is unique in that it serves as a bridge that connects data derived from the NOAA Advanced Very High Resolution Radiometer (AVHRR), the EOS Moderate resolution Imaging Spectroradiometer (MODIS), the Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS), and Joint Polar Satellite System (JPSS) VIIRS missions. The LTDR draws from the following eight AVHRR missions: NOAA-7, NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-18, NOAA-19, and MetOp-B. Currently, the project generates a daily surface reflectance product as the fundamental climate data record (FCDR) and derives daily Normalized Differential Vegetation Index (NDVI) and Leaf-Area Index/fraction of absorbed Photosynthetically Active Radiation (LAI/fPAR) as two thematic CDRs (TCDR). LAI/fPAR was developed as an experimental product. The METOP-B AVHRR Atmospherically Corrected Surface Reflectance Daily L3 Global 0.05 Deg CMG, short-name M1_ AVH09C1 is generated from GIMMS Advanced Processing System (GAPS) BRDF-corrected Surface Reflectance product (AVH01C1). The M1_ AVH09C1 consist of BRDF-corrected surface reflectance for bands 1, 2, and 3, data Quality flags, angles (solar zenith, view zenith, and relative azimuth), and thermal data (thermal bands 3, 4, and 5). The AVH09C1 product is available in HDF4 file format. proprietary -M1_AVH13C1_6 METOP-B AVHRR Atmospherically Corrected Normalized Difference Vegetation Index Daily L3 Global 0.05 Deg. CMG LAADS STAC Catalog 2013-01-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2751635237-LAADS.umm_json The Long-Term Data Record (LTDR) produces, validates, and distributes a global land surface climate data record (CDR) that uses both mature and well-tested algorithms in concert with the best-available polar-orbiting satellite data from past to the present. The CDR is critically important to studying global climate change. The LTDR project is unique in that it serves as a bridge that connects data derived from the NOAA Advanced Very High Resolution Radiometer (AVHRR), the EOS Moderate resolution Imaging Spectroradiometer (MODIS), the Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS), and Joint Polar Satellite System (JPSS) VIIRS missions. The LTDR draws from the following eight AVHRR missions: NOAA-7, NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-18, NOAA-19, and MetOp-B. Currently, the project generates a daily surface reflectance product as the fundamental climate data record (FCDR) and derives daily Normalized Differential Vegetation Index (NDVI) and Leaf-Area Index/fraction of absorbed Photosynthetically Active Radiation (LAI/fPAR) as two thematic CDRs (TCDR). LAI/fPAR was developed as an experimental product. The METOP-B AVHRR Atmospherically Corrected Normalized Difference Vegetation Index (NDVI) Daily L3 Global 0.05 Deg CMG, short-name M1_AVH13C1 is generated from GIMMS Advanced Processing System (GAPS) BRDF-corrected Surface Reflectance product (M1_AVH01C1). The M1_AVH13C1 product is available in HDF4 file format. proprietary -MCD06COSP_D3_MODIS_6.1 MODIS (Aqua/Terra) Cloud Properties Level 3 daily, 1x1 degree grid LAADS STAC Catalog 2002-07-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1887589686-LAADS.umm_json The combined MODIS (Aqua/Terra) Cloud Properties Level 3 daily, 1x1 degree grid product represents a new addition that is especially geared to facilitate climate scientists who deal with both models and observations. MCD06COSP_D3_MODIS represents the daily product’s short-name. The “COSP” acronym in its short-name stands for Cloud Feedback Model Intercomparison Project (CFMIP) Observation Simulator Package. This product is an aggregation of combined MODIS Level-2 inputs from both the Terra and Aqua incarnations (MOD35/MOD06 and MYD35/MYD06, respectively), and employs an aggregation methodology consistent with the MOD08 and MYD08 products. Provided in netCDF4 format, it contains 23 aggregated science data sets (SDS/parameters). proprietary -MCD06COSP_M3_MODIS_6.1 MODIS (Aqua/Terra) Cloud Properties Level 3 monthly, 1x1 degree grid LAADS STAC Catalog 2002-07-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1888024429-LAADS.umm_json The combined MODIS (Aqua/Terra) Cloud Properties Level 3 monthly, 1x1 degree grid product represents a new addition that is especially geared to facilitate climate scientists who deal with both models and observations. MCD06COSP_D3_MODIS represents the daily product’s short-name. The “COSP” acronym in its short-name stands for Cloud Feedback Model Intercomparison Project (CFMIP) Observation Simulator Package. The L3 monthly product is derived by aggregating the daily-produced Aqua+Terra/MODIS D3 Cloud Properties product (MCD06COSP_D3_MODIS). Provided in netCDF4 format, it contains 23 aggregated science data sets (SDS/parameters). proprietary -MCD14DL_C5_NRT_005 MODIS/Aqua+Terra Thermal Anomalies/Fire locations 1km FIRMS V005 NRT LM_FIRMS STAC Catalog 2014-01-28 -180, -80, 180, 80 https://cmr.earthdata.nasa.gov/search/concepts/C1219768065-LM_FIRMS.umm_json Near Real-Time (NRT) MODIS Thermal Anomalies / Fire locations processed by FIRMS (Fire Information for Resource Management System) - Land Atmosphere Near real time Capability for EOS (LANCE), using swath products (MOD14/MYD14) rather than the tiled MOD14A1 and MYD14A1 products. The thermal anomalies / active fire represent the center of a 1km pixel that is flagged by the MODIS MOD14/MYD14 Fire and Thermal Anomalies algorithm (Giglio 2003) as containing one or more fires within the pixel. This is the most basic fire product in which active fires and other thermal anomalies, such as volcanoes, are identified.MCD14DL are available in the following formats: TXT, SHP, KML, WMS. These data are also provided through the FIRMS Fire Email Alerts. Please note only the TXT and SHP files contain all the attributes. proprietary -MIANACP_1 MISR Aerosol Climatology Product V001 LARC STAC Catalog 1999-11-22 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C185127378-LARC.umm_json MIANACP_1 is the Multi-angle Imaging SpectroRadiometer (MISR) Aerosol Climatology Product version 1. It is 1) the microphysical and scattering characteristics of pure aerosol upon which routine retrievals are based; 2) mixtures of pure aerosol to be compared with MISR observations; and 3) likelihood value assigned to each mode geographically. The ACP describes mixtures of up to three component aerosol types from a list of eight components, in varying proportions. ACP component aerosol particle data quality depends on the ACP input data, which are based on aerosol particles described in the literature, and consider MISR-specific sensitivity to particle size, single-scattering albedo, and shape, and shape - roughly: small, medium and large; dirty and clean; spherical and nonspherical [Kahn et al. , 1998; 2001]. Also reported in the ACP are the mixtures of these components used by the retrieval algorithm. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm. proprietary -MIANCAGP_1 MISR Ancillary Geographic Product V001 LARC STAC Catalog 1999-11-07 2005-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C183897339-LARC.umm_json MIANCAGP_1 is the Multi-angle Imaging SpectroRadiometer (MISR) Ancillary Geographic Product version 1. It is a set of 233 pre-computed files. Each AGP file pertains to a single Terra orbital path. MISR production software relies on information in the AGP, such as digital terrain elevation, as input to the algorithms which generate MISR products. The AGP contains eleven fields of geographical data. This product consists primarily of geolocation data on a Space Oblique Mercator (SOM) Grid. It has 233 parts, corresponding to the 233 repeat orbits of the EOS-AM1 Spacecraft. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm. proprietary -MIANCARP_2 MISR Ancillary Radiometric Product V002 LARC STAC Catalog 1999-12-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C179031521-LARC.umm_json MIANCARP_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Ancillary Radiometric Product version 2. It is composed of 4 files covering instrument characterization data, pre-flight calibration data, in-flight calibration data, and configuration parameters. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm. proprietary -MIB2GEOP_002 MISR Geometric Parameters V002 LARC STAC Catalog 2000-02-24 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C43677702-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 V002 contains the Geometric Parameters which measure the sun and view angles at the reference ellipsoid proprietary -MIRCCMF_001 MISR FIRSTLOOK radiometric camera-by-camera Cloud Mask V001 LARC STAC Catalog 2000-12-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C135857530-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 FIRSTLOOK radiometric camera-by-camera Cloud Mask V001 contains the FIRSTLOOK Radiometric camera-by-camera Cloud Mask (RCCM) dataset produced using ancillary inputs Radiometric Camera-by-camera Cloud mask Threshold (RCCT) from the previous time period. It is used to determine whether a scene is clear, cloudy or dusty (over ocean). proprietary -MISBR_005 MISR Browse data V005 LARC STAC Catalog 1999-12-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C43677744-LARC.umm_json This is the browse data associated with a particular granule. proprietary MURI_Camouflage_0 A Multi University Research Initiative (MURI) Camouflage Project OB_DAAC STAC Catalog 2010-06-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360494-OB_DAAC.umm_json A Multi University Research Initiative was funded to study the biological response to the dynamic, polarized light field in distinct water types. During June 2010, a campaign was undertaken in the coastal waters off Port Aransas, Texas to study the angular/temporal distribution of polarization in multiple environment types (eutrophic sediment laden coastal waters, oligotrophic off-shore), as well as the polarization-reflectance responses of several organisms. In addition to radiometric polarization measurements, water column IOPs, Rrs, benthic reflectance, and pigment concentration measurements were collected. Later campaigns expanded this research in the coastal waters off the Florida Keys. proprietary MURI_HI_0 A Multi University Research Initiative (MURI) near the Hawaiian Islands OB_DAAC STAC Catalog 2012-05-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360508-OB_DAAC.umm_json Measurements taken by the RV Kilo Moana in 2012 near the Hawaiian Islands. proprietary -MYD00F_6.1NRT MODIS/Aqua L0 PDS Data, 5-Min Swath - NRT LANCEMODIS STAC Catalog 2017-10-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1426615577-LANCEMODIS.umm_json MODIS/Aqua Near Real Time (NRT) L0 PDS Data 5-Min Swath. proprietary -MYD021KM_6.1 MODIS/Aqua Calibrated Radiances 5-Min L1B Swath 1km LAADS STAC Catalog 2002-07-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1379758607-LAADS.umm_json The MODIS/Aqua Calibrated Radiances 5Min L1B Swath 1km data set contains calibrated and geolocated at-aperture radiances for 36 discrete bands located in the 0.4 to 14.4 micron region of the electromagnetic spectrum. These data are generated from the MODIS Level 1A scans of raw radiance which during processing are converted to geophysical units of W / (m^2 um sr). Additional data are provided including quality flags, error estimates and calibration data. Visible, shortwave infrared, and near infrared measurements are only made during the daytime (except band 26), while radiances for the thermal infrared region (bands 20-25, 27-36) are measured continuously. The shortname for this product is MYD021KM and is stored in the Earth Observing System Hierarchical Data Format (HDF-EOS). A typical file size is approximately 115 MB. Environmental information derived from MODIS L1B measurements will offer a comprehensive and unprecedented look at terrestrial, atmospheric, and ocean phenomenology for a wide and diverse community of users throughout the world. See the MODIS Characterization Support Team webpage for more C6 product information at: https://mcst.gsfc.nasa.gov/l1b/product-information or visit Science Team homepage at: https://modis.gsfc.nasa.gov/data/dataprod/ proprietary -MYD021KM_6.1NRT MODIS/Aqua Calibrated Radiances 5-Min L1B Swath 1km - NRT LANCEMODIS STAC Catalog 2017-10-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1426616847-LANCEMODIS.umm_json The MODIS Level 1B Near Real Time (NRT) data set contains calibrated and geolocated at-aperture radiances for 36 discrete bands located in the 0.4 to 14.4 micron region of electromagentic spectrum. These data are generated from the MODIS Level 1A scans of raw radiance and in the process converted to geophysical units of W/(m^2 um sr). In addition, the Earth Bi-directional Reflectance Distribution Function (BRDF) may be determined for the solar reflective bands (1-19, 26) through knowledge of the solar irradiance (e.g., determined from MODIS solar diffuser data, and from the target illumination geometry). Additional data are provided including quality flags, error estimates and calibration data. Visible, shortwave infrared, and near infrared measurements are only made during the daytime, while radiances for the thermal infrared region (bands 20-25, 27-36) are measured continuously. Channel locations for MODIS are as follows: Band Center Wavelength (um) Primary Use---- ---------------------- -----------1 0.620 - 0.670 Land/Cloud Boundaries2 0.841 - 0.876 Land/Cloud Boundaries3 0.459 - 0.479 Land/Cloud Properties4 0.545 - 0.565 Land/Cloud Properties5 1.230 - 1.250 Land/Cloud Properties6 1.628 - 1.652 Land/Cloud Properties7 2.105 - 2.155 Land/Cloud Properties8 0.405 - 0.420 Ocean Color/Phytoplankton9 0.438 - 0.448 Ocean Color/Phytoplankton10 0.483 - 0.493 Ocean Color/Phytoplankton11 0.526 - 0.536 Ocean Color/Phytoplankton12 0.546 - 0.556 Ocean Color/Phytoplankton13 0.662 - 0.672 Ocean Color/Phytoplankton14 0.673 - 0.683 Ocean Color/Phytoplankton15 0.743 - 0.753 Ocean Color/Phytoplankton16 0.862 - 0.877 Ocean Color/Phytoplankton17 0.890 - 0.920 Atmospheric Water Vapor18 0.931 - 0.941 Atmospheric Water Vapor19 0.915 - 0.965 Atmospheric Water Vapor20 3.660 - 3.840 Surface/Cloud Temperature21 3.929 - 3.989 Surface/Cloud Temperature22 3.929 - 3.989 Surface/Cloud Temperature23 4.020 - 4.080 Surface/Cloud Temperature24 4.433 - 4.498 Atmospheric Temperature25 4.482 - 4.549 Atmospheric Temperature26 1.360 - 1.390 Cirrus Clouds27 6.535 - 6.895 Water Vapor Profile28 7.175 - 7.475 Water Vapor Profile29 8.400 - 8.700 Water Vapor Profile30 9.580 - 9.880 Ozone Overburden31 10.780 - 11.280 Surface/Cloud Temperature32 11.770 - 12.270 Surface/Cloud Temperature33 13.185 - 13.485 Cloud Top Altitude34 13.485 - 13.785 Cloud Top Altitude35 13.785 - 14.085 Cloud Top Altitude36 14.085 - 14.385 Cloud Top Altitude Channels 1 and 2 have 250 m resolution, channels 3 through 7 have 500m resolution, and the rest have 1 km resolution. However, for the MODIS L1B 1 km product, the 250 m and 500 m band radiance data and their associated uncertainties have been aggregated to 1km resolution. Thus the entire channel data set is referenced to the same spatial and geolocation scales. Separate L1B products are available for the 250 m channels (MYD02QKM) and 500 m channels (MYD02HKM) that preserve the original resolution of the data. Spatial resolution for pixels at nadir is 1 km, degrading to 4.8 km in the along-scan direction at the scan extremes. However, thanks to the overlapping of consecutive swaths and respectively pixels there, the resulting resolution at the scan extremes is about 2km. A 55 degree scanning pattern at the EOS orbit of 705 km results in a 2330km orbital swath width and provides global coverage every one to two days. A single MODIS Level 1B granule will nominally contain a scene built from 203 scans (or swaths) sampled 1354 times in the cross-track direction, corresponding to approximately 5 minutes worth of data. Since an individual MODIS scan (or swath) will contain 10 along-track spatial elements, the scene will be composed of (1354 x 2030) pixels, resulting in a spatial coverage of (2330 km x 2030 km). Due to the MODIS scan geometry, there will be increasing overlap occurring beyond about 25 degrees scan angle. To summarize, the MODIS L1B 1 km data product consists of: 1. Calibrated radiances and uncertainties for (2) 250 m reflected solar bands aggregated to 1km resolution 2. Calibrated radiances and uncertainties for (5) 500 m reflected solar bands aggregated to 1 km resolution 3. Calibrated radiances and uncertainties for (13) 1 km reflected solar bands and (16) infrared emissive bands 4. Geolocation subsampled at every 5th pixel across and along track 5. Satellite and solar angles subsampled at the above frequency 6. Comprehensive set of file-level metadata summarizing the spatial, temporal and parameter attributes of the data, as well as auxiliary information pertaining to instrument status and data quality characterization. The MODIS L1B data are stored in the Earth Observing System Hierarchical Data Format (HDF-EOS) which is an extension of HDF as developed by the National Center for Supercomputer Applications (NCSA) at the University of Illinois. A typical file size will be approximately 260 MB. Environmental information derived from MODIS L1B measurements will offer a comprehensive and unprecedented look at terrestrial, atmospheric, and ocean phenomenology for a wide and diverse community of users throughout the world. The Shortname for this product is MYD021KM proprietary -MYD02HKM_6.1NRT MODIS/Aqua Calibrated Radiances 5-Min L1B Swath 500m - NRT LANCEMODIS STAC Catalog 2017-10-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1426617060-LANCEMODIS.umm_json The 500 meter MODIS Level 1B Near Real Time (NRT) data set contains calibrated and geolocated at-aperture radiances for 7 discrete bands located in the 0.45 to 2.20 micron region of the electromagnetic spectrum. These data are generated from the MODIS Level 1A scans of raw radiance and in the process converted to geophysical units of W/(m^2 um sr). In addition, the Earth Bi-directional Reflectance Distribution Function (BRDF) may be determined for these solar reflective bands through knowledge of the solar irradiance (e.g., determined from MODIS solar diffuser data, and from the target illumination geometry). Additional data are provided including quality flags, error estimates and calibration data. Visible, shortwave infrared, and near infrared measurements are only made during the daytime, while radiances for the thermal infrared region (bands 20-25, 27-36) are measured continuously. Channel locations for the MODIS 500 meter data are as follows: Band Center Wavelength (um) Primary Use ---- ---------------------- ----------- 1 0.620 - 0.670 Land/Cloud Boundaries 2 0.841 - 0.876 Land/Cloud Boundaries 3 0.459 - 0.479 Land/Cloud Properties 4 0.545 - 0.565 Land/Cloud Properties 5 1.230 - 1.250 Land/Cloud Properties 6 1.628 - 1.652 Land/Cloud Properties 7 2.105 - 2.155 Land/Cloud Properties Channels 1 and 2 have 250 m resolution, channels 3 through 7 have 500 m resolution. However, for the MODIS L1B 500 m product, the 250 m band radiance data and their associated uncertainties have been aggregated to 500 m resolution. Thus the entire channel data set has been co-registered to the same spatial scale in the 500 m product. Separate L1B products are available for the 250 m resolution channels (MYD02QKM) and 1 km resolution channels (MYD021KM). For the latter product, the 250 m and 500 m channel data (bands 1 through 7) have been aggregated into equivalent 1 km pixel values. Spatial resolution for pixels at nadir is 500 km, degrading to 2.4 km in the along-scan direction at the scan extremes. However, thanks to the overlapping of consecutive swaths and respectively pixels there, the resulting resolution at the scan extremes is about 1 km. A 55 degree scanning pattern at the EOS orbit of 705 km results in a 2330 km orbital swath width and provides global coverage every one to two days. A single MODIS Level 1B 500 m granule will contain a scene built from 203 scans sampled 2708 times in the cross-track direction, corresponding to approximately 5 minutes worth of data; thus 288 granules will be produced per day. Since an individual MODIS scan will contain 20 along-track spatial elements for the 500 m channels, the scene will be composed of (2708 x 4060) pixels, resulting in a spatial coverage of (2330 km x 2040 km). Due to the MODIS scan geometry, there will be increasing scan overlap beyond about 20 degrees scan angle. To summarize, the MODIS L1B 500 m data product consists of: 1. Calibrated radiances, uncertainties and number of samples for (2) 250 m reflected solar bands aggregated to 500 m resolution 2. Calibrated radiances and uncertainties for (5) 500 m reflected solar bands 3. Geolocation for 1km pixels, that must be interpolated to get 500 m pixel locations. For the relationship of 1km pixels to 500m pixels, see the Geolocation ATBD http://modis.gsfc.nasa.gov/data/atbd/atbd_mod28_v3.pdf . 4. Calibration data for all channels (scale and offset) 5. Comprehensive set of file-level metadata summarizing the spatial, temporal and parameter attributes of the data, as well as auxiliary information pertaining to instrument status and data quality characterization The MODIS L1B 500 m data are stored in the Earth Observing System Hierarchical Data Format (HDF-EOS) which is an extension of HDF as developed by the National Center for Supercomputer Applications (NCSA) at the University of Illinois. A typical file size will be approximately 170 MB. Environmental information derived from MODIS L1B measurements will offer a comprehensive and unprecedented look at terrestrial, atmospheric, and ocean phenomenology for a wide and diverse community of users throughout the world. The Shortname for this product is MYD02HKM proprietary -MYD02QKM_6.1NRT MODIS/Aqua Calibrated Radiances 5-Min L1B Swath 250m - NRT LANCEMODIS STAC Catalog 2017-10-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1426621826-LANCEMODIS.umm_json The 250 meter MODIS Level 1B Near Real Time (NRT) data set contains calibrated and geolocated at-aperture radiances for 2 discrete bands located in the 0.62 to 0.88 micron region of the electromagnetic spectrum. These data are generated from the MODIS Level 1A scans of raw radiance and in the process converted to geophysical units of W / (m^2 um sr). In addition, the Earth Bi-directional Reflectance Distribution Function (BRDF) may be determined for these solar reflective bands through knowledge of the solar irradiance (e.g., determined from MODIS solar diffuser data, and from the target illumination geometry). Additional data are provided including quality flags, error estimates and calibration data. Channel locations for the MODIS 250 meter data are as follows: Band Center Wavelength (um) Primary Use ---- ---------------------- ----------- 1 0.620 - 0.670 Land/Cloud Boundaries 2 0.841 - 0.876 Land/Cloud Boundaries Separate L1B products are available for the five 500 m resolution channels (MYD02HKM) and the twenty-nine 1 km resolution channels (MYD021KM). For the 500 m product, there are actually seven channels available since the data from the two 250 m channels have been aggregated to 500 m resolution. Similarly, for the 1 km product, all 36 MODIS channels are available since the data from the two 250 m and five 500 m channels have been aggregated into equivalent 1 km pixel values. Spatial resolution for pixels at nadir is 250 m, degrading to 1.2 km in the along-scan direction and 0.5 km in the along-track direction for pixels located at the scan extremes. A 55 degree scanning pattern at the EOS orbit of 705 km results in a 2330 km orbital swath width and provides global coverage every one to two days. A single MODIS Level 1B 250 m granule will contain a scene built from 203 scans sampled 5416 times in the cross-track direction, corresponding to approximately 5 minutes worth of data; thus 288 granules will be produced per day. Since an individual MODIS scan will contain 40 along-track spatial elements for the 250 m channels, the scene will be composed of (5416 x 8120) pixels, resulting in a spatial coverage of (2330 km x 2040 km). Due to the MODIS scan geometry, there will be increasing scan overlap beyond about 17 degrees scan angle. To summarize, the MODIS L1B 250 m data product consists of: 1. Calibrated radiances and uncertainties for (2) 250 m reflected solar bands 2. Subsampled geolocation at every 4th 250 m pixel across and along track, i.e., a geolocation point every kilometer 3. Satellite and solar angles subsampled at the above frequency 4. Calibration data for all channels (scale and offset) 5. Comprehensive set of file-level metadata summarizing the spatial, temporal and parameter attributes of the data, as well as auxiliary information pertaining to instrument status and data quality characterization The MODIS L1B 250 m data are stored in the Earth Observing System Hierarchical Data Format (HDF-EOS) which is an extension of HDF as developed by the National Center for Supercomputer Applications (NCSA) at the University of Illinois. A typical file size will be approximately 170 MB. Environmental information derived from MODIS L1B measurements will offer a comprehensive and unprecedented look at terrestrial, atmospheric, and ocean phenomenology for a wide and diverse community of users throughout the world. The Shortname for this product is MYD02QKM proprietary -MYD02SSH_6.1NRT MODIS/Aqua Level 1B Subsampled Calibrated Radiance 5Km - NRT LANCEMODIS STAC Catalog 2017-10-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1426632422-LANCEMODIS.umm_json "This Near Real Time (NRT) data type (MYD02SSH) is a subsample from the MODIS Level 1B 1-km data. Every fifth pixel is taken from the MYD021KM product and written out to MYD02SSH. The subsampling starts at the third frame, and at the third line. Here, ""frame"" and ""line"" are naming conventions for pixels along and across the scan, respectively. Since MYD02SSH is a subsampled Level 1B , many things from the Level 1B documentation apply as well. That is, the MYD02SSH data productcontains calibrated and geolocated at-aperture radiances for 36 bands generated from MODIS Level 1A scans of raw radiance (MOD 01). The radiance units are in W/(m ^2 um sr). Additional data are provided including quality flags, error estimates and calibration data. Visible, shortwave infrared (SWIR), and Near Infrared (NIR) measurements are made during daytime only, while radiances for Thermal Infrared (TIR) are measured continuously.As it's parent, the MYD02SSH is in HDF-EOS format, and all metadata structures and names are preserved for better convenience. However, some relevant changes are made where appropriate, e.g. the dimension mappings are updated to reflect the new one-to-one correspondance between the data and geolocations. The latter is one of the most important differences: in the MYD02SSH, there is no offset between data and geolocation pixels. The spatial coverage is almost similar to that from MYD021KM (nominally it is 2330 by 2030 km, cross-track by along-track, respectively). The MYD02SSH is produced continuously, and thus the processing provides 2-day repeat observations of the Earth with a repeat orbitpattern every 16 days.The shortname for this product is MYD02SSH" proprietary -MYD03_6.1NRT MODIS/Aqua Geolocation Fields 5-Min L1A Swath 1km - NRT LANCEMODIS STAC Catalog 2017-10-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1426640814-LANCEMODIS.umm_json The Near Real Time (NRT) geolocation fields are calculated for each 1 km MODIS Instantaneous Field of Views (IFOV) for all orbits daily. The locations and ancillary information corresponds to the intersection of the centers of each IFOV from 10 detectors in an ideal 1 km band on the Earth's surface. A digital terrain model is used to model the Earth's surface. The main inputs are the spacecraft attitude and orbit, the instrument telemetry and the digital elevation model. The geolocation fields include geodetic Latitude, Longitude, surface height above geoid, solar zenith and azimuth angles, satellite zenith and azimuth angles, and a land/sea mask for each 1 km sample. Additional information is included in the header to enable the calculation of the approximate location of the center of the detectors of any of the 36 MODIS bands. This product is used as input by a large number of subsequent MODIS products, particularly the products produced by the Land team.The shortname for this product is MYD03. proprietary -MYD04_3K_6.1 MODIS/Aqua Aerosol 5-Min L2 Swath 3km LAADS STAC Catalog 2002-07-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1443528505-LAADS.umm_json "The new Collection 6.1 (C61) MODIS/Aqua Aerosol 5 Min L2 Swath 3km (MYD04_3K) product is an improved version based on algorithm changes in Dark Target (DT) Aerosol retrieval over urban areas and uncertainty estimates for Deep Blue (DB) Aerosol retrievals. The MODIS level-2 atmospheric aerosol product provides retrieved ambient aerosol optical properties, quality assurance, and other parameters, globally over ocean and land. In Collection 5, and earlier collections, there was only one aerosol product (MYD04_L2) at 10km (at nadir) spatial resolution. Starting from C6, the Dark Target (DT) Aerosol algorithm team provided a new 3 km spatial resolution product (MYD04_3k) intended for the air quality community. The MYD04_3K product is based on the same algorithm and Look up Tables as the standard Dark Target aerosol product. Because of finer resolution, subtle differences are made in selecting pixels for retrieval and in determining QA. The only differences between the existing 10km algorithm and the new 3km algorithm are: 1) the size of the pixel-arrays defining each retrieval box ( 6x6 retrieval boxes of 36 pixels at 0.5km resolution for 3km algorithm as oppose to 20x20 retrieval boxes of 400 pixels at 0.5km resolution for 10km product); 2) the minimum percentage of ""good"" pixels required for a retrieval (a minimum of 5 pixels over ocean and 6 pixels over land instead of a minimum of 10 pixels over ocean or 12 pixels over land for 10km product retrieval); 3) the 10km algorithm attempts a ""poor quality"" retrieval while 3km algorithm does not. Everything else is the same between two products. For more information on C6.1 changes and updates, visit the MODIS Atmosphere website at: https://modis-atmosphere.gsfc.nasa.gov/documentation/collection-61" proprietary -MYD04_3K_6.1NRT MODIS/Aqua Aerosol 5-Min L2 Swath 3km - NRT LANCEMODIS STAC Catalog 2017-10-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1426717545-LANCEMODIS.umm_json The new Collection 6.1 (C61) MYD04_3K product is an improved version based on algorithm changes in Dark Target (DT) Aerosol retrieval over urban areas and uncertainty estimates for Deep Blue (DB) Aerosol retrievals. The MODIS level-2 atmospheric aerosol product provides retrieved ambient aerosol optical properties, quality assurance, and other parameters, globally over ocean and land. In Collection 5, and earlier collections, there was only one aerosol product (MOD04_L2) at 10km (at nadir) spatial resolution. Starting from C6, the Dark Target (DT) Aerosol algorithm team provided a new 3 km spatial resolution product (MOD04_3k) intended for the air quality community. The MOD04_3K product is based on the same algorithm and Look up Tables as the standard Dark Target aerosol product. Because of finer resolution, subtle differences are made in selecting pixels for retrieval and in determining QA. The only differences between the existing 10km algorithm and the 3km algorithm are: 1) the size of the pixel-arrays defining each retrieval box (6x6 retrieval boxes of 36 pixels at 0.5km resolution for 3km algorithm as oppose to 20x20 retrieval boxes of 400 pixels at 0.5km resolution for 10km product); 2) the minimum percentage of good pixels required for a retrieval (a minimum of 5 pixels over ocean and 6 pixels over land instead of a minimum of 10 pixels over ocean or 12 pixels over land for 10km product retrieval); 3) the 10km algorithm attempts a poor quality retrieval while 3km algorithm does not. Everything else is same in two products. For more information on C6.1 changes and updates, visit the MODIS Atmosphere website at: https://modis-atmosphere.gsfc.nasa.gov/documentation/collection-61 proprietary -MYD04_L2_6.1 MODIS/Aqua Aerosol 5-Min L2 Swath 10km LAADS STAC Catalog 2002-07-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1443533683-LAADS.umm_json The MODIS/Aqua Aerosol 5-Min L2 Swath 10km product (MYD04_L2) provides full global coverage of aerosol properties from the Dark Target (DT) and Deep Blue (DB) algorithms. The DT algorithm is applied over ocean and dark land (e.g., vegetation), while the DB algorithm now covers the entire land areas including both dark and bright surfaces. Both results are provided on a 10x10 pixel scale (10 km at nadir). Each MYD04_L2 product file covers a five-minute time interval. The output grid is 135 pixels in width by 203 pixels in length. Every tenth file has an output grid size of 135 by 204 pixels. MYD04_L2 product files are stored in Hierarchical Data Format (HDF-EOS). The new Collection 6.1 (C61) MYD04_L2 product is an improved version based on algorithm changes in Dark Target (DT) Aerosol retrieval over urban areas and uncertainty estimates for Deep Blue (DB) Aerosol retrievals. The MODIS level-2 atmospheric aerosol product provides retrieved ambient aerosol optical properties, quality assurance, and other parameters, globally over ocean and land. In Collection 5 and in earlier collections, there was only one aerosol product (MYD04_L2) at 10km (at nadir) spatial resolution. Starting from C6, the Dark Target (DT) Aerosol algorithm team provided a new 3 km spatial resolution product (MYD04_3k) intended for the air quality community. For more information visit the MODIS Atmosphere website at: https://modis-atmos.gsfc.nasa.gov/products/aerosol And, for C6.1 changes and updates, visit: https://modis-atmosphere.gsfc.nasa.gov/documentation/collection-61 proprietary -MYD04_L2_6.1NRT MODIS/Aqua Aerosol 5-Min L2 Swath 10km - NRT LANCEMODIS STAC Catalog 2017-10-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1426751946-LANCEMODIS.umm_json The new Collection 6.1 (C61) MYD04_L2 product is an improved version based on algorithm changes in Dark Target (DT) Aerosol retrieval over urban areas and uncertainty estimates for Deep Blue (DB) Aerosol retrievals. The MODIS level-2 atmospheric aerosol product provides retrieved ambient aerosol optical properties, quality assurance, and other parameters, globally over ocean and land. In Collection 5, and earlier collections, there was only one aerosol product (MYD04_L2) at 10km (at nadir) spatial resolution. Starting from C6, the Dark Target (DT) Aerosol algorithm team provided a new 3 km spatial resolution product (MYD04_3k) intended for the air quality community. For more information visit the MODIS Atmosphere website at: https://modis-atmos.gsfc.nasa.gov/products/aerosol And, for C6.1 changes and updates, visit: https://modis-atmosphere.gsfc.nasa.gov/documentation/collection-61 proprietary -MYD06_L2_6.1NRT MODIS/Aqua Clouds 5-Min L2 Swath 1km and 5km - NRT LANCEMODIS STAC Catalog 2017-10-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1426986978-LANCEMODIS.umm_json The level-2 MODIS cloud product consists of cloud optical and physical parameters. These parameters are derived using remotely sensed infrared, visible and near infrared solar reflected radiances. MODIS infrared channel radiances are used to derive cloud top temperature, cloud top height, effective emissivity, cloud phase (ice vs. water, opaque vs. non-opaque), and cloud fraction under both daytime and nighttime conditions. MODIS visible radiances are used to derive cloud optical thickness and effective particle radius and cloud shadow effects. Near infrared solar reflected radiance provides additional information in the retrieval of cloud particle phase (ice vs. water, clouds vs. snow). The shortname for this level-2 MODIS cloud product is MYD06_L2. MYD06_L2 consists of parameters at a spatial resolution of either 1- km or 5-km (at nadir). Each MYD06_L2 product file covers a five-minute time interval. This means that for 5-km resolution parameters, the output grid is 270 pixels in width by 406 pixels in length. C6.1 changes for the cloud optical property retrievals are low-impact, and are limited primarily to ancillary product usage, the Quality Assurance (QA), and handling of cloud top (CT) properties fill values; no updates to retrieval science are implemented. For more information about the MODIS Cloud product, visit the MODIS-Atmosphere site at: https://modis-atmos.gsfc.nasa.gov/products/cloud For more details regarding dataset changes read the document at https://modis-atmos.gsfc.nasa.gov/documentation/collection-61 proprietary -MYD08_D3_6.1 MODIS/Aqua Aerosol Cloud Water Vapor Ozone Daily L3 Global 1Deg CMG LAADS STAC Catalog 2002-07-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1443729298-LAADS.umm_json The MODIS/Aqua Aerosol Cloud Water Vapor Ozone Daily L3 Global 1Deg CMG product (MYD08_D3) contains daily 1 x 1 degree grid average values of atmospheric parameters related to atmospheric aerosol particle properties, total ozone burden, atmospheric water vapor, cloud optical and physical properties, and atmospheric stability indices. This product also provides standard deviations, quality assurance weighted means and other statistically derived quantities for each parameter. The MYD08_D3 contains roughly 600 statistical datasets that are derived from approximately 80 scientific parameters from four Level-2 MODIS Atmosphere Products: MOD04_L2, MOD05_L2, MOD06_L2, and MOD07_L2. Statistics are computed over a 1 degree equal-angle lat-lon grid that spans a 24-hour (0000 to 2400 Greenwich Mean Time) interval. Since the grid cells are 1 degree by 1 degree, the output grid is always 360 pixels in width and 180 pixels in length. MYD08_D3 product files are stored in Hierarchical Data Format (HDF-EOS). Each gridded global parameter is stored as Scientific Data Sets (SDS) within the file. The MODIS Daily Product will be used in the simultaneously study of clouds, water vapor, aerosol , trace gases, land surface and oceanic properties, as well as the interaction between them and their effect on the Earth's energy budget and climate. This product will also be used to investigate seasonal and inter-annual changes in cirrus (semi-transparent) global cloud cover and cloud phase with multispectral observations at high spatial resolution. For more information about the MYD08_D3 product, please visit the MODIS-Atmosphere site at: https://modis-atmos.gsfc.nasa.gov/products/daily proprietary -MYD08_E3_6.1 MODIS/Aqua Aerosol Cloud Water Vapor Ozone 8-Day L3 Global 1Deg CMG LAADS STAC Catalog 2002-07-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1443743314-LAADS.umm_json The MODIS/Aqua Aerosol Cloud Water Vapor Ozone 8-Day L3 Global 1Deg CMG product (MYD08_E3) contains 8-Day 1 degree x 1 degree grid average values of atmospheric parameters related to atmospheric aerosol particle properties, total ozone burden, atmospheric water vapor, cloud optical and physical properties, and atmospheric stability indices. This product also provides standard deviations, quality assurance weighted means and other statistically derived quantities for each parameter. The MYD08_E3 contains nearly 1000 statistical datasets (SDS's) that are derived from the Level-3 MODIS Atmosphere Daily Global Product. Statistics are computed over a 1 degree equal-angle lat-lon grid that spans an 8-Day interval. Since the grid cells are 1 degree by 1 degree, the output grid is always 360 pixels in width and 180 pixels in length. MYD08_E3 product files are stored in Hierarchical Data Format (HDF-EOS). Each gridded global parameter is stored as Scientific Data Sets (SDS) within the file. The MODIS 8-Day Product will be used in the simultaneously study of clouds, water vapor, aerosol , trace gases, land surface and oceanic properties, as well as the interaction between them and their effect on the Earth's energy budget and climate. This product will also be used to investigate seasonal and inter-annual changes in cirrus (semi-transparent) global cloud cover and cloud phase with multispectral observations at high spatial resolution. For more information about the MYD08_E3 product, please visit the MODIS-Atmosphere site at: https://modis-atmos.gsfc.nasa.gov/products/eight-day proprietary -MYD08_M3_6.1 MODIS/Aqua Aerosol Cloud Water Vapor Ozone Monthly L3 Global 1Deg CMG LAADS STAC Catalog 2002-07-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1443775657-LAADS.umm_json The MODIS/Aqua Aerosol Cloud Water Vapor Ozone Monthly L3 Global 1Deg CMG product (MYD08_M3) contains monthly 1 x 1 degree grid average values of atmospheric parameters related to atmospheric aerosol particle properties, total ozone burden, atmospheric water vapor, cloud optical and physical properties, and atmospheric stability indices. This product also provides standard deviations, quality assurance weighted means and other statistically derived quantities for each parameter. The MYD08_M3 contains roughly 800 statistical datasets that are derived from the Level-3 MODIS Atmosphere Daily Global Product. Statistics are sorted into 1x1 degree cells on an equal-angle grid that spans a (calendar) monthly interval and then summarized over the globe. MYD08_M3 product files are stored in Hierarchical Data Format (HDF-EOS). Each gridded global parameter is stored as Scientific Data Sets (SDS) within the file. The MODIS monthly Product will be used in the simultaneously study of clouds, water vapor, aerosol , trace gases, land surface and oceanic properties, as well as the interaction between them and their effect on the Earth's energy budget and climate. This product will also be used to investigate seasonal and inter-annual changes in cirrus (semi-transparent) global cloud cover and cloud phase with multispectral observations at high spatial resolution. For more information about the MYD08_M3 product, please visit the MODIS-Atmosphere site at: https://modis-atmos.gsfc.nasa.gov/products/monthly proprietary -MYD09CMA_6.1NRT MODIS/Aqua Aerosol Optical Thickness Daily L3 Global 0.05-Deg CMA NRT LANCEMODIS STAC Catalog 2021-02-07 -180, -81, 180, 81 https://cmr.earthdata.nasa.gov/search/concepts/C2007652084-LANCEMODIS.umm_json The MODIS/Aqua Aerosol Optical Thickness Daily L3 Global 0.05-Deg CMA Near Real Time (NRT), short name MYD09CMA, is a daily level 3 global product. It is in linear latitude and longitude (Plate Carre) projection with a 0.05Deg spatial resolution. This product is derived from MYD09IDN, MYD09IDT and MYD09IDS for each orbit by compositing the data on the basis of minimum band 3 (459 - 479 nm band) values (after excluding pixels flagged for clouds and high solar zenith angles). proprietary -MYD09_6.1 MODIS/Aqua Atmospherically Corrected Surface Reflectance 5-Min L2 Swath 250m, 500m, and 1km LAADS STAC Catalog 2002-07-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1713215948-LAADS.umm_json The MODIS/Aqua Atmospherically Corrected Surface Reflectance 5-Min L2 Swath 250m, 500m, 1km (MYD09) product is computed from the MODIS Level 1B land bands 1, 2, 3, 4, 5, 6, and 7 (centered at 648 nm, 858 nm, 470 nm, 555 nm, 1240 nm, 1640 nm, and 2130 nm, respectively). The product is an estimate of the surface spectral reflectance for each band as it would have been measured at ground level if there were no atmospheric scattering or absorption. The surface-reflectance product is the input for product generation for several land products: vegetation Indices (VIs), Bidirectional Reflectance Distribution Function (BRDF), thermal anomaly, snow/ice, and Fraction of Photosynthetically Active Radiation/Leaf Area Index (FPAR/LAI). proprietary -MYD09_6.1NRT MODIS/Aqua Atmospherically Corrected Surface Reflectance 5-Min L2 Swath 250m, 500m, 1km NRT LANCEMODIS STAC Catalog 2021-02-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2007652303-LANCEMODIS.umm_json The MODIS/Aqua Atmospherically Corrected Surface Reflectance 5-Min L2 Swath 250m, 500m, 1km NRT, short name MYD09, is computed from the MODIS Level 1B land bands 1, 2, 3, 4, 5, 6, and 7 (centered at 648 nm, 858 nm, 470 nm, 555 nm, 1240 nm, 1640 nm, and 2130 nm, respectively). The product is an estimate of the surface spectral reflectance for each band as it would have been measured at ground level if there were no atmospheric scattering or absorption. The surface-reflectance product is the input for product generation for several land products: vegetation Indices (VIs), BRDF, thermal anomaly, snow/ice, and Fraction of Photosynthetically Active Radiation/Leaf Area Index (FPAR/LAI). proprietary -MYD11_L2_6.1NRT MODIS/Aqua Land Surface Temperature/Emissivity 5-Min L2 Swath 1km NRT LANCEMODIS STAC Catalog 2021-02-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2007631072-LANCEMODIS.umm_json The MODIS/Aqua Land Surface Temperature/Emissivity 5-Min L2 Swath 1km Near Real Time (NRT), short name MYD11_L2, incorporate 1 km pixels, which are produced daily at 5-minute increments using the generalized split-window algorithm. This algorithm is optimally used to separate ranges of atmospheric column water vapor and lower boundary air surface temperatures into tractable sub-ranges. The surface emissivities in bands 31 and 32 are estimated from land cover types. The data inputs include the MODIS L1B calibrated and geolocated radiances, geolocation, cloud mask, atmospheric profiles, land and snow cover. The MYD11_L2 data set comprises swath data obtained in 5-minute sensor collection periods, and includes the following Science Data Set (SDS) layers:- LST- Quality control assessment- Error estimates- Bands 31 and 32 emissivities- Zenith angle of the pixel view- Observation time- Geographic coordinates for every five scan lines and samples.Produced daily, MYD11_L2 is an unprojected level-2 product, which provides the input for the level-3 products. proprietary -MYD14CRS_6NRT MODIS/Aqua Near Real Time (NRT) Coarse Thermal Anomalies/Fire 5-Min L2 Swath 5km LANCEMODIS STAC Catalog 2015-12-06 -180, -81, 180, 81 https://cmr.earthdata.nasa.gov/search/concepts/C1223143441-LANCEMODIS.umm_json MODIS Near Real Time (NRT) Thermal Anomalies/Fire products are primarily derived from MODIS 4- and 11-micrometer radiances. The fire detection strategy is based on absolute detection of a fire (a fire of strength sufficient to detect), and on detection relative to its background (to account for variability of the surface temperature and reflection by sunlight). Numerous tests are employed to reject typical false alarm sources like sun glint or an unmasked coastline. MYD14CRS provides level-2 swath data daily at a 5-kilometer resolution. The Science Data Sets in this product include fire-mask, algorithm quality, radiative power, and numerous layers describing fire pixel attributes. The Aqua MODIS instrument acquires data twice daily (10:30 AM and PM), as does the Aqua MODIS (2:30 PM and AM). These four daily MODIS fire observations serve to advance global monitoring of the fire process and its effects on ecosystems, the atmosphere, and climate. Data Set Characteristics: File Size: ~ 990 KB Resolution: 5 kilometer Projection: None (swath data) Data Type: Fire Mask 8-bit unsigned Data Format: HDF-EOS Science Data Sets (SDS HDF Layers): 23 Version-5 MODIS/Aqua Coarse Thermal Anomalies/Fire products are validated, meaning that product uncertainties are well defined over a range of representative conditions. Although there may be later improved versions, these data are ready for use in scientific publications. proprietary -MYD14_6NRT MODIS/Aqua Near Real Time (NRT) Thermal Anomalies/Fire 5-Min L2 Swath 1km LANCEMODIS STAC Catalog 2015-12-07 -180, -80, 180, 80 https://cmr.earthdata.nasa.gov/search/concepts/C1219248602-LANCEMODIS.umm_json MODIS Near Real Time (NRT) Thermal Anomalies/Fire products are primarily derived from MODIS 4- and 11-micrometer radiances. The fire detection strategy is based on absolute detection of a fire (when the fire strength is sufficient to detect), and on detection relative to its background (to account for variability of the surface temperature and reflection by sunlight). Numerous tests are employed to reject typical false alarm sources like sun glint or an unmasked coastline.MYD14 is level-2 swath data provided daily at 1-kilometer resolution. The Science Data Sets in this product include fire-mask, algorithm quality, radiative power, and numerous layers describing fire pixel attributes.The Aqua MODIS instrument acquires data twice daily (1:30 PM and AM), as does the Terra MODIS (10:30 AM and PM). These four daily MODIS fire observations serve to advance global monitoring of the fire process and its effects on ecosystems, the atmosphere, and climate. proprietary -MYD21_6.1NRT MODIS/Aqua Land Surface Temperature/3-Band Emissivity 5-Min L2 1km NRT LANCEMODIS STAC Catalog 2021-06-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2073479587-LANCEMODIS.umm_json The MODIS/Aqua Land Surface Temperature/3-Band Emissivity (LST&E) 5-Min L2 1km data product, short-name MYD21 is produced daily in five minute temporal increments of satellite acquisition. The swath is approximately 2,030 pixels along track and 1,354 pixels per line, at a nadir resolution of 1,000 meters. The MYD21 Land Surface Temperature (LST) algorithm differs from the MYD11 (https://doi.org/10.5067/modis/myd11_l2.061) algorithm in that the MYD21 LST algorithm is based on the ASTER Temperature/Emissivity Separation (TES) technique, whereas the MYD11 uses the split-window technique. 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/107/MOD21_ATBD.pdf)). The Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and more. proprietary -MYD35_L2_6.1NRT MODIS/Aqua Cloud Mask and Spectral Test Results 5-Min L2 Swath 250m and 1km - NRT LANCEMODIS STAC Catalog 2017-10-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1427007141-LANCEMODIS.umm_json The MODIS level-2 cloud mask product is a global product generated for both daytime and nighttime conditions at 1-km spatial resolution (at nadir) and for daytime at 250-m resolution. The algorithm employs a series of visible and infrared threshold and consistency tests to specify confidence levels that an unobstructed view of the Earth's surface is observed. The Terra MODIS Photovoltaic (PVLWIR) bands 27-30 are known to experience an electronic crosstalk contamination. The influence of the crosstalk has gradually increased over the mission lifetime, causing for example, earth surface features to become prominent in atmospheric band 27, increased detector striping, and long term drift in the radiometric bias of these bands. The drift has compromised the climate quality of C6 Terra MODIS L2 products that depend significantly on these bands, including cloud mask (MOD35), cloud fraction and cloud top properties (MOD06), and total precipitable water (MOD07). A linear crosstalk correction algorithm has been developed and tested by MCST.The electronic crosstalk correction was made to the calibration algorithm for bands 27-30 and implemented into C6.1 operational L1B processing. This implementation greatly improves the performance of the cloud mask. The shortname for this Level-2 MODIS cloud mask product is MYD35_L2 and the principal investigator for this product is MODIS scientist Dr. Paul Menzel ( paulm@ssec.wisc.edu). MYD35_L2 product files are stored in Hierarchical Data Format (HDF-EOS). Each of the 9 gridded parameters is stored as a Scientific Data Set (SDS) within the HDF-EOS file. The Cloud Mask and Quality Assurance SDS's are stored at 1 kilometer pixel resolution. All other SDS's (those relating to time, geolocation, and viewing geometry) are stored at 5 kilometer pixel resolution. MYD35_L2 Data Group and Parameters: Spatial and Temporal Resolution: Latitude and Longitude Scan start time Solar and Sensor Viewing Geometry: Solar zenith and Solar azimuth angle Sensor zenith and Sensor azimuth angle Science Parameters: Cloud Mask (1km) Cloud Mask (250 m) Quality Assurance Parameters: Quality Assurance Flags (1km) Link to the MODIS homepage for more data set information: https://modis-atmos.gsfc.nasa.gov/products/cloud-mask Link to the MODIS homepage for C6.1 changes: https://modis-atmos.gsfc.nasa.gov/documentation/collection-61 proprietary -MYDAODHD_6.1NRT MODIS/Aqua L3 Value-added Aerosol Optical Depth - NRT LANCEMODIS STAC Catalog 2017-10-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1427010664-LANCEMODIS.umm_json MODIS was launched aboard the Terra satellite on December 18, 1999 (10:30 am equator crossing time) as part of NASA's Earth Observing System (EOS) mission. MODIS with its 2330 km viewing swath width provides almost daily global coverage. It acquires data in 36 high spectral resolution bands between 0.415 to 14.235 micron with spatial resolutions of 250m(2 bands), 500m(5 bands),and 1000m (29 bands). MODIS sensor counts, calibrated radiances, geolocation products and all derived geophysical atmospheric and ocean products are archived at various DAACs and has been made available to public since April 2000. The shortname for this level-3 MODIS aerosol product is MYDAODHD. The Naval Research Laboratory and the University of North Dakota developed this value-added aerosol optical depth dataset based on MODIS Level 2 aerosol products. The MYDAODHD is a gridded product and is specifically designed for quantitative applications including data assimilation and model validation. It is available through LANCE-MODIS. It offers several enhancements over the MODIS Level 2 data on which it is based. These enhancements include stringent filtering to reduce outliers, eliminate cloud contamination, and exclude conditions where aerosol detection is likely to be inaccurate; reduction of systematic biases over land and ocean by empirical corrections; reduction of random variation in AOD values by spatial averaging; quantitative estimation of uncertainty for each AOD data point. The MxDAODHD granules are produced every six hours, and time-stamped 00:00, 06:00, 12:00, and 18:00 (all times UTC). Each granule includes MODIS observations from +/-3 hours from the timestamp (e.g. 12:00 product includes MODIS data from 09:00-15:00 UTC). Production is initiated as soon as the Level 2 inputs become available in the LANCE system. See the LANCE-MODIS page for more dataset information: https://earthdata.nasa.gov/earth-observation-data/near-real-time/download-nrt-data/modis-nrt proprietary -MYDARNSS_6.1 MODIS/Aqua Atmosphere Aeronet Subsetting Product LAADS STAC Catalog 2002-07-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1444624388-LAADS.umm_json The MODIS/Aqua Atmosphere Aeronet Subsetting Product (MYDARNSS) consists of MODIS Atmosphere and Ancillary Products subsets that are generated over a number of Aerosol Robotic Network (AERONET) sites. These sites comprise of sites of automatic tracking Sun photometers/sky radiometers located all over the world. The process of generating cutouts involves locating and identifying a subset of sites taken from a global AERONET that are within the spatial coverage of a 5 minute Level 2 MODIS granule and extracting 0.5 x 0.5 degree cutouts. The MYDARNSS data set consists of subsets for around 180 AERONET sites around the globe. There is one file per site with 55 Science Data Sets (SDS) such as at-aperture radiances for 36 discrete MODIS bands, Cloud Mask, and Water Vapor, etc. proprietary -MYDATML2_6.1 MODIS/Aqua Aerosol, Cloud and Water Vapor Subset 5-Min L2 Swath 5km and 10km LAADS STAC Catalog 2002-07-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1444200390-LAADS.umm_json The MODIS/Aqua Aerosol, Cloud and Water Vapor Subset 5-Min L2 Swath 5km and 10km (MYDATML2) product contains a combination of key high interest science parameters. The ATML2 product provides a subset of datasets from the suite of atmosphere team products on both a 10 km scale (aerosols) and 5km scale (native 5 km cloud properties and a 5x5 pixel sample of the 1km cloud datasets). The ATML2 product employs the same 5x5 pixel sampling scheme for the 1km native resolution Level 2 products as is used in the MOD08 Level 3 global aggregated product, an approach that has been shown to retain statistical integrity for multi-day aggregations. The C6 significantly increases the number of datasets included in the ATML2 product, including the full suite of QA datasets. Since the ATML2 data granule file size is significantly smaller than the combined size of the individual L2 products, and because the 1 km pixel sampling is consistent with the L3 algorithm, the ATML2 product is a more practical means for the user community to develop research L3 algorithms for their own specific purposes. For more information, visit the MODIS Atmosphere website at: https://modis-atmos.gsfc.nasa.gov/products/joint-atm proprietary -MYDBMSS_6.1 MODIS/Aqua Atmosphere BELMANIP Subsetting Product LAADS STAC Catalog 2002-07-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1444780364-LAADS.umm_json The MODIS/Aqua Atmosphere BELMANIP subsetting Product (MYDBMSS) consists of MODIS Atmosphere and Ancillary Products subsets that are generated over the Bench-mark Land Multisite Analysis and Intercomparison of Products (BELMANIP) sites. The BELMANIP sites is a network of sites, distributed globally and consist of existing networks such as Earth Observing System (EOS) Core Sites, Bigfoot, Validation of Land European Remote sensing Instruments (VALERI), a global network of micrometeorological flux measurement (FLUXNET), the aerosol robotic network (AERONET) and a set of additional sites.The process of generating cutouts for these sites involves locating and identifying a subset of sites taken from global BELMANIP sites that are within the spatial coverage of a 5 minute Level 2 MODIS granule and extracting 0.5 x 0.5 degree cutouts. The MODBMSS data set consists of subsets for approximately 445 sites around the globe. There is one file per site with 55 Science Data Sets (SDS) such as at-aperture radiances for 36 discrete MODIS bands, Cloud Mask, and Water Vapor, etc. proprietary -MYDCSR_B_6.1 MODIS/Aqua 8-Day Clear Sky Radiance Bias Daily L3 Global 1Deg Zonal Bands LAADS STAC Catalog 2002-07-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1444160046-LAADS.umm_json The MODIS/Aqua 8-Day Clear Sky Radiance Bias Daily L3 Global 1Deg Zonal Bands (MYDCSR_B) product consists of 1-degree zonal mean clear-sky biases (observed minus calculated radiance differences) and associated statistics for bands 31 and 33-36 for each day from the previous eight-day period. Zonal means (5-zone moving averages) are created from the eight-day, 25-km radiance differences for daytime land, nighttime land, and ocean data separately. Day and night land data are combined south of -60 degrees latitude due to poor clear-sky sampling and the difficulty of discriminating between clear and cloudy conditions in this region. The zonal mean biases are utilized to correct clear-sky radiance calculations in the cloud top pressure (CO2 slicing) algorithm. The files are in Hierarchical Data Format (HDF). proprietary -MYDFNSS_6.1 MODIS/Aqua Atmosphere FluxNet Subsetting Product LAADS STAC Catalog 2002-07-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1444318098-LAADS.umm_json The MODIS/Aqua Atmosphere FluxNet Subsetting Product (MODFNSS) consists of MODIS Atmosphere and Ancillary Products subsets that are generated over a global network of micrometeorological flux measurement (FLUXNET) sites. The process of generating cutouts for these sites involves locating and identifying a subset of sites taken from a global FLUXNET that are within the spatial coverage of a 5 minute Level 2 MODIS granule and extracting 0.5 x 0.5 degree cutouts. The MODFNSS data set consists of subsets for around 400 sites out of the total flux tower sites around the globe. There is one file per site with around 55 Science Data Sets (SDS) such as at-aperture radiances for 36 discrete MODIS bands, Cloud Mask, and Water Vapor, etc proprietary -MYDGB0_6.1NRT MODIS/Aqua 5-minute GBAD data in L0 format - NRT LANCEMODIS STAC Catalog 2017-10-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1427015288-LANCEMODIS.umm_json MODIS/Aqua Near Real Time (NRT) 5-minute GBAD data in L0 format. proprietary -Marine Debris Dataset for Object Detection in Planetscope Imagery_1 Marine Debris Dataset for Object Detection in Planetscope Imagery MLHUB STAC Catalog 2016-09-28 2019-04-18 -88.2971191, 5.4683637, 34.5300293, 39.1087514 https://cmr.earthdata.nasa.gov/search/concepts/C2196591903-MLHUB.umm_json Floating marine debris is a global pollution problem which leads to the loss of marine and terrestrial biodiversity. Large swaths of marine debris are also navigational hazards to ocean vessels. The use of Earth observation data and artificial intelligence techniques can revolutionize the detection of floating marine debris on satellite imagery and pave the way to a global monitoring system for controlling and preventing the accumulation of marine debris in oceans. This dataset consists of images of marine debris which are 256 by 256 pixels in size and labels which are bounding boxes with geographical coordinates. The images were obtained from PlanetScope optical imagery which has a spatial resolution of approximately 3 meters. In this dataset, marine debris consists of floating objects on the ocean surface which can belong to one or more classes namely plastics, algae, sargassum, wood, and other artificial items. Several studies were used for data collection and validation. While a small percentage of the dataset represents the coastlines of Ghana and Greece, most of the observations surround the Bay Islands in Honduras. The marine debris detection models created and the relevant code for using this dataset can be found here. https://github.com/NASA-IMPACT/marine_debris_ML 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 -NEX-DCP30_1 Downscaled 30 Arc-Second CMIP5 Climate Projections for Studies of Climate Change Impacts in the United States NCCS STAC Catalog 1950-01-01 2099-12-31 -125.0208333, 24.0625, -66.4791667, 49.9375 https://cmr.earthdata.nasa.gov/search/concepts/C1542175061-NCCS.umm_json This NASA dataset is provided to assist the science community in conducting studies of climate change impacts at local to regional scales, and to enhance public understanding of possible future climate patterns and climate impacts at the scale of individual neighborhoods and communities. This dataset is intended for use in scientific research only, and use of this dataset for other purposes, such as commercial applications, and engineering or design studies is not recommended without consultation with a qualified expert. Community feedback to improve and validate the dataset for modeling usage is appreciated. Email comments to bridget@climateanalyticsgroup.org. Dataset File Name: NASA Earth Exchange (NEX) Downscaled Climate Projections (NEXDCP30), https://portal.nccs.nasa.gov/portal_home/published/NEX.html proprietary -NEX-GDDP_1 NASA Earth Exchange Global Daily Downscaled Projections NCCS STAC Catalog 1950-01-01 2100-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1374483929-NCCS.umm_json The NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP) dataset is comprised of downscaled climate scenarios for the globe that are derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 5 (CMIP5) and across two of the four greenhouse gas emissions scenarios known as Representative Concentration Pathways (RCPs). The CMIP5 GCM runs were developed in support of the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5). The NEX-GDDP dataset includes downscaled projections for RCP 4.5 and RCP 8.5 from the 21 models and scenarios for which daily scenarios were produced and distributed under CMIP5. Each of the climate projections includes daily maximum temperature, minimum temperature, and precipitation for the periods from 1950 through 2100. The spatial resolution of the dataset is 0.25 degrees (~25 km x 25 km). The NEX-GDDP dataset is provided to assist the science community in conducting studies of climate change impacts at local to regional scales, and to enhance public understanding of possible future global climate patterns at the spatial scale of individual towns, cities, and watersheds. Each of the climate projections includes monthly averaged maximum temperature, minimum temperature, and precipitation for the periods from 1950 through 2005 (Retrospective Run) and from 2006 to 2099 (Prospective Run). proprietary -NMMIEAI-L2-NRT_2 OMPS-NPP L2 NM Aerosol Index swath orbital NRT OMINRT STAC Catalog 2011-11-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1657477341-OMINRT.umm_json The OMPS-NPP L2 NM Aerosol Index swath orbital V2 for Near Real Time. For the standard product see the OMPS_NPP_NMMIEAI_L2 product in CMR .The aerosol index is derived from normalized radiances using 2 wavelength pairs at 340 and 378.5 nm. Additionally, this data product contains measurements of normalized radiances, reflectivity, cloud fraction, reflectivity, and other ancillary variables. proprietary -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_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 -NPBUVO3-L2-NRT_2 OMPS-NPP L2 NP Ozone (O3) Vertical Profile swath orbital NRT OMINRT STAC Catalog 2011-10-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1439296101-OMINRT.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 in Near Real Time. 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 L2 NP Ozone data are written using the Hierarchical Data Format Version 5 or HDF5. proprietary -NRSCC_GLASS_ FAPAR_MODIS_0.05D_11 NRSCC_GLASS_ FAPAR_MODIS_0.05D NRSCC STAC Catalog 2010-02-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205351149-NRSCC.umm_json This Global LAnd Surface Satellite (GLASS) Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) product was generated using MODIS products. proprietary -NRSCC_GLASS_ FAPAR_MODIS_1KM_11 NRSCC_GLASS_ FAPAR_MODIS_1KM NRSCC STAC Catalog 2000-02-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205351155-NRSCC.umm_json This Global LAnd Surface Satellite (GLASS) Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) product was developed using MODIS datasets. proprietary -NRSCC_GLASS_ LAI_AVHRR_0.05D_11 NRSCC_GLASS_ LAI_AVHRR_0.05D NRSCC STAC Catalog 1981-01-01 2018-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205351175-NRSCC.umm_json This Global LAnd Surface Satellite (GLASS) Leaf Area Index (LAI) product was developed using AVHRR datasets. proprietary -NRSCC_GLASS_ LAI_MODIS_0.05D_11 NRSCC_GLASS_ LAI_MODIS_0.05D NRSCC STAC Catalog 2000-02-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205351151-NRSCC.umm_json This Global LAnd Surface Satellite (GLASS) Leaf Area Index (LAI) product was developed using MODIS datasets. proprietary -NRSCC_GLASS_Albedo_AVHRR_11 NRSCC_GLASS_Albedo_AVHRR NRSCC STAC Catalog 2002-01-01 2015-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205351177-NRSCC.umm_json Global high-resolution land surface albedo data from NOAA/AVHRR, generated by Global LAnd Surface Satellite (GLASS) Dataset production team. proprietary -NRSCC_GLASS_Albedo_MODIS_0.05D_11 NRSCC_GLASS_Albedo_MODIS_0.05D NRSCC STAC Catalog 2000-01-01 2018-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205351167-NRSCC.umm_json The Global LAnd Surface Satellite (GLASS) Albedo product derived from MODIS. The horizontal resolution is 0.05 Degree. proprietary -NRSCC_GLASS_Albedo_MODIS_1KM_11 NRSCC_GLASS_Albedo_MODIS_1KM NRSCC STAC Catalog 2000-01-01 2018-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205351152-NRSCC.umm_json The Global LAnd Surface Satellite (GLASS) Albedo product derived from MODIS. The horizontal resolution is 1KM. proprietary -NRSCC_GLASS_BBE_AVHRR_11 NRSCC_GLASS_BBE_AVHRR NRSCC STAC Catalog 1982-01-01 2017-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205351148-NRSCC.umm_json The Global LAnd Surface Satellite (GLASS) broadband emissivity (BBE) product derived from AVHRR. proprietary -NRSCC_GLASS_BBE_MODIS_0.05D_11 NRSCC_GLASS_BBE_MODIS_0.05D NRSCC STAC Catalog 2000-02-18 2018-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205351185-NRSCC.umm_json The Global LAnd Surface Satellite (GLASS) broadband emissivity (BBE) product derived from MODIS. The horizontal resolution is 0.05 Degree. proprietary -NRSCC_GLASS_BBE_MODIS_1KM_11 NRSCC_GLASS_BBE_MODIS_1KM NRSCC STAC Catalog 2000-02-18 2018-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205351153-NRSCC.umm_json NRSCC_GLASS_BBE_MODIS_1KM proprietary -NRSCC_GLASS_DSR_MODIS_0.05D_11 NRSCC_GLASS_DSR_MODIS_0.05D NRSCC STAC Catalog 2000-02-24 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205351174-NRSCC.umm_json This Global LAnd Surface Satellite (GLASS) Downward Shortwave Radiation (DSR) product was developed using MODIS datasets. proprietary -NRSCC_GLASS_ET_AVHRR_0.05D_11 NRSCC_GLASS_ET_AVHRR_0.05D NRSCC STAC Catalog 1982-01-01 2018-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205351169-NRSCC.umm_json The Global LAnd Surface Satellite (GLASS) Latent Heat (ET) product derived from AVHRR. The horizontal resolution is 0.05 Decimal Degrees. proprietary -NRSCC_GLASS_ET_MODIS_0.05D_11 NRSCC_GLASS_ET_MODIS_0.05D NRSCC STAC Catalog 2000-02-18 2018-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205351150-NRSCC.umm_json The Global LAnd Surface Satellite (GLASS) Latent heat (ET) product derived from MODIS. The horizontal resolution is 0.05 Decimal Degrees. proprietary -NRSCC_GLASS_ET_MODIS_1KM_11 NRSCC_GLASS_ET_MODIS_1KM NRSCC STAC Catalog 2000-02-18 2018-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205351141-NRSCC.umm_json The Global LAnd Surface Satellite (GLASS) Latent heat (ET) product derived from MODIS. The horizontal resolution is 1 KM. proprietary -NRSCC_GLASS_FAPAR_AVHRR_0.05D_11 NRSCC_GLASS_FAPAR_AVHRR_0.05D NRSCC STAC Catalog 1982-01-01 2018-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205351170-NRSCC.umm_json The Global LAnd Surface Satellite (GLASS) Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) product derived from AVHRR. The horizontal resolution is 0.05 Decimal Degrees. proprietary -NRSCC_GLASS_FVC_AVHRR_0.05D_11 NRSCC_GLASS_FVC_AVHRR_0.05D NRSCC STAC Catalog 1982-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205351186-NRSCC.umm_json This Global LAnd Surface Satellite (GLASS) Fractional vegetation cover (FVC) product was developed using AVHRR datasets. proprietary -NRSCC_GLASS_FVC_MODIS_0.05D_11 NRSCC_GLASS_FVC_MODIS_0.05D NRSCC STAC Catalog 2000-02-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205351160-NRSCC.umm_json This Global LAnd Surface Satellite (GLASS) Fractional vegetation cover (FVC) product was developed using MODIS datasets. proprietary -NRSCC_GLASS_FVC_MODIS_500M_11 NRSCC_GLASS_FVC_MODIS_500M NRSCC STAC Catalog 2000-02-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205351171-NRSCC.umm_json This Global LAnd Surface Satellite (GLASS) Fractional vegetation cover (FVC) product was developed using MODIS datasets. proprietary -NRSCC_GLASS_GPP_AVHRR_0.05D_11 NRSCC_GLASS_GPP_AVHRR_0.05D NRSCC STAC Catalog 1982-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205351165-NRSCC.umm_json This Global LAnd Surface Satellite (GLASS) Gross Primary Production (GPP) product was developed using AVHRR datasets. proprietary -NRSCC_GLASS_GPP_AVHRR_0.05D_YEARLY_11 NRSCC_GLASS_GPP_AVHRR_0.05D_YEARLY NRSCC STAC Catalog 1982-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205351154-NRSCC.umm_json This Global LAnd Surface Satellite (GLASS) Gross Primary Productivity (GPP) yearly product was developed using AVHRR datasets. proprietary -NSIDC-0194_1 AMMR Air and Brightness Temperature Data, Wakasa Bay, Version 1 NSIDCV0 STAC Catalog 2003-01-14 2003-02-03 134.0313, 30.6763, 150.3528, 41.476 https://cmr.earthdata.nasa.gov/search/concepts/C1386204122-NSIDCV0.umm_json The Wakasa Bay Field Campaign was conducted to validate rainfall algorithms developed for the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E). proprietary -NSIDC-0212_1 Airborne Cloud Radar (ACR) Reflectivity, Wakasa Bay, Japan, Version 1 NSIDCV0 STAC Catalog 2003-01-14 2003-02-03 130, 30, 150, 40 https://cmr.earthdata.nasa.gov/search/concepts/C1386204153-NSIDCV0.umm_json This data set includes 94 GHz co- and cross-polarized radar reflectivity. The Airborne Cloud Radar (ACR) sensor was mounted to a NASA P-3 aircraft flown over the Sea of Japan, the Western Pacific Ocean, and the Japanese Islands. proprietary -NSIDC-0326_1 Ablation Rates of Taylor Glacier, Antarctica, Version 1 NSIDCV0 STAC Catalog 2002-11-19 2011-01-12 160.1, -77.9, 162.2, -77.6 https://cmr.earthdata.nasa.gov/search/concepts/C1386250376-NSIDCV0.umm_json This data set provides glacier surface ablation rates for a network of approximately 250 sites on Taylor Glacier, spanning a period from 2003 to 2011. Here sublimation is the dominant ablation mechanism, though a few sites have accumulation. Ablation data are provided in meters water equivalent per year. Data are available via FTP in space-delimited ASCII format. proprietary -NSIDC-0334_1 Airborne Laser Altimetry of the Thwaites Glacier Catchment, West Antarctica, Version 1 NSIDCV0 STAC Catalog 2004-12-10 2005-01-29 -130, -80, -95, -75 https://cmr.earthdata.nasa.gov/search/concepts/C1386204328-NSIDCV0.umm_json This data set includes airborne altimetry collected over the catchment and main trunk of Thwaites Glacier, one of Antarctica's most active ice streams. proprietary -NSIDC-0504_1 Alkanes in Firn Air Samples, Antarctica and Greenland, Version 1 NSIDCV0 STAC Catalog 2005-12-01 2009-01-31 -38.3833, -79.47, 112.09, 72.5833 https://cmr.earthdata.nasa.gov/search/concepts/C1386250699-NSIDCV0.umm_json This data set contains ethane, propane, and n-butane measurements in firn air from the South Pole and the West Antarctic Ice Sheet (WAIS) Divide in Antarctica, and from Summit, Greenland. The WAIS Divide and South Pole samples were collected in December to January of of 2005/06 and 2008/09, respectively. The Summit firn was sampled in the summer of 2006. Analyses were conducted on a gas chromatography - mass spectrometry (GC-MS) system at the University of California, Irvine. Measurements and the associated uncertainties are reported as dry air molar mixing ratios in part per trillion (ppt). The reported measurements for each sampling depth represent a mean of multiple measurements on more than one flask in most cases. Data are available via FTP in Microsoft Excel (.xls) format. proprietary -NSIDC-0517_1 AGASEA Ice Thickness Profile Data from the Amundsen Sea Embayment, Antarctica, Version 1 NSIDCV0 STAC Catalog 2004-12-10 2005-01-29 -125, -83, -90, -73 https://cmr.earthdata.nasa.gov/search/concepts/C1386205339-NSIDCV0.umm_json This data set contains line-based radar-derived ice thickness and bed elevation data, collected as part of the Airborne Geophysical Survey of the Amundsen Embayment (AGASEA) expedition, which took place over Thwaites Glacier in West Antarctica from 2004 to 2005. proprietary -NSIDC-0539_1 Abrupt Change in Atmospheric CO2 During the Last Ice Age, Version 1 NSIDCV0 STAC Catalog 2009-01-01 2012-12-31 -148.82, -81.66, -119.83, -80.01 https://cmr.earthdata.nasa.gov/search/concepts/C1386205485-NSIDCV0.umm_json During the last glacial period atmospheric carbon dioxide and temperature in Antarctica varied in a similar fashion on millennial time scales, but previous work indicates that these changes were gradual. In a detailed analysis of one event, we now find that approximately half of the CO2 increase that occurred during the 1500 year cold period between Dansgaard-Oeschger (DO) Events 8 and 9 happened rapidly, over less than two centuries. This rise in CO2 was synchronous with, or slightly later than, a rapid increase of Antarctic temperature inferred from stable isotopes. proprietary -NSIDC-0541_1 Allan Hills Stable Water Isotopes, Version 1 NSIDCV0 STAC Catalog 2009-01-01 2011-12-31 159, -76.83, 159.25, -75.67 https://cmr.earthdata.nasa.gov/search/concepts/C1386250706-NSIDCV0.umm_json This data set includes stable water isotope values at 10 m resolution along an approximately 5 km transect through the main icefield of the Allan Hills Blue Ice Area, and at 15 cm within a 225 m core drilled at the midpoint of the transect. proprietary -NSIDC-0596_1 17O Excess from WAIS Divide, 0 to 25 ka BP, Version 1 NSIDCV0 STAC Catalog 2007-11-01 2012-02-01 -158.72, -81.67, -112.08, -77.79 https://cmr.earthdata.nasa.gov/search/concepts/C1386205647-NSIDCV0.umm_json This data set contains the VSMOW-SLAP d17O, d18O, and 17O-excess data from the WAIS Divide Ice Core Project, Siple Dome and Taylor Dome, along with the published and VSMOW-SLAP normalized d17O, d18O, and 17O-excess for Vostok [Landais et al. 2008], EPICA Dome C and Talos Dome [Winkler et al., 2012]. The data cover the Last Glacial Maximum (25-20 ka), through the Early Holocene (12-9 ka) and into present-day (past 2 kyr) proprietary -NSIDC-0634_1 Alaska Tidewater Glacier Terminus Positions, Version 1 NSIDCV0 STAC Catalog 1948-01-01 2012-12-31 -151, 56.5, -132, 61.5 https://cmr.earthdata.nasa.gov/search/concepts/C1386250732-NSIDCV0.umm_json This data set contains Alaska tidewater glacier terminus positions digitized from USGS topographic maps and Landsat images. proprietary OCTS_L1_1 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Data Regional Data OB_DAAC STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034340-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_L2_IOP_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Inherent Optical Properties (IOP) Regional Data OB_DAAC STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034360-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_L2_OC_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Ocean Color (OC) Regional Data OB_DAAC STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034380-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 @@ -483,49 +86,10 @@ OCTS_L3b_PIC_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Particulate OCTS_L3m_CHL_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Chlorophyll (CHL) Global Mapped Data OB_DAAC STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034342-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_IOP_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Inherent Optical Properties (IOP) Global Mapped Data OB_DAAC STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034365-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_KD_2014 ADEOS-I Ocean Color and Temperature Scanner (OCTS) Diffuse Attenuation Coefficient for Downwelling Irradiance (KD) Global Mapped Data OB_DAAC STAC Catalog 1996-11-01 1997-06-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1200034383-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 -OMAERUV_003 OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 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/C1000000120-OMINRT.umm_json The OMI/Aura level-2 near UV Aerosol data product 'OMAERUV', recently re-processed using an enhanced algorithm, is now released (April 2012) to the public. The data is available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC), http://disc.gsfc.nasa.gov/Aura/OMI/omaeruv_v003.shtml NASA Aura satellite sensors are tracking important atmospheric pollutants from space since its launch in July, 2004. The Ozone Monitoring Instrument(OMI), one of the four Aura satellite sensors with its 2600 km viewing swath width provides daily global measurements of four important US Environmental Protection Agency criteria pollutants (Tropospheric ozone, Nitrogen dioxide,Sulfur dioxide and Aerosols from biomass burning and industrial emissions, HCHO, BrO, OClO and surface UV irradiance. 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 (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). The Level-2 OMI Aerosol Product OMAERUV from the Aura-OMI is now available from NASAs GSFC Earth Sciences (GES) Data and Information Services Center (DISC) for public access. OMAERUV retrieval algorithm is developed by the US OMI Team Scientists. Dr. Omar Torres (GSFC/NASA) is the principal investigator of this product. The OMAERUV product contains Aerosol Absorption and Aerosol Extinction Optical Depths, and Single Scattering Albedo at three different wavelengths (354, 388 and 500 nm), Aerosol Index, and other ancillary and geolocation parameters, in the OMI field of view (13x24 km). Another standard OMI aerosol product is OMAERO, that is based on the KNMI multi-wavelength spectral fitting algorithm. OMAERUV 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 OMAERUV data product is about 6 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 A short OMAERUV Readme Document that includes brief algorithm description and currently known data quality issues is provided by the OMAERUV Algorithm lead (see http://disc.gsfc.nasa.gov/Aura/OMI/omaeruv_v003.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/ . OMAERUV Data Groups and Parameters: The OMAERUV data file contains a swath which consists of two groups: Data fields: Total Aerosol Optical Depth (extinction optical depth) and Aerosol Absorption Optical Depths (at 354, 388 and 500 nm), Single Scattering Albedo, UV Aerosol Index, Visible Aerosol Index, and other intermediate and ancillary parameters (e.g. Estimates of Aerosol Total Extinction and Absorption Optical Depths and Single Scattering Albedo at five atmospheric levels, Aerosol Type, Aerosol Layer Height, Normalized Radiance, Lambert equivalent Reflectivity, Surface Albedo, Imaginary Component of Refractive Index) and Data Quality Flags. Geolocation Fields: Latitude, Longitude, Time(TAI93), Seconds, Solar Zenith Angles, Viewing Zenith Angles, Relative Azimuth Angle, Terrain Pressure, Ground Pixel Quality Flags. For the full set of Aura products available from the GES DISC, please see the link below. http://disc.sci.gsfc.nasa.gov/Aura/ Atmospheric Composition data from Aura and other satellite sensors can be ordered from the following sites: http://disc.sci.gsfc.nasa.gov/acdisc/ proprietary -OMCLDRR_003 OMI/Aura Cloud Pressure and Fraction (Raman Scattering) 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/C1000000100-OMINRT.umm_json The reprocessed Aura OMI Version 003 Level 2 Cloud Data Product OMCLDRR is made available (in April 2012) to the public from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). http://disc.gsfc.nasa.gov/Aura/OMI/omcldrr_v003.shtml ) Aura OMI provides two Level-2 Cloud products (OMCLDRR and OMCLDO2) at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms, the Rotational Raman Scattering method and the O2-O2 absorption method. This level-2 global cloud product (OMCLDRR) provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI Cloud Pressure and Fraction product is OMCLDRR and the algorithm lead for this product is NASA OMI scientist Dr. Joanna Joinner. OMCLDRR 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 OMCLDRR data product is about 9 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 . A short OMCLDRR Readme Document that includes brief algorithm description and data quality is also provided by the OMCLDRR Algorithm lead. 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. 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 are archived at the NASA GES DISC. For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/instruments/omi/ http://www.knmi.nl/omi/research/documents/ . Data Category Parameters: The OMCLDRR data file contains one swath which consists of two groups: Data fields: Two Effective Cloud Fraction and two Cloud Top Pressures that are based on two different clear and cloudy scene reflectivity criteria, Chlorophyll Amount, Effective Reflectivity (394.1 micron), UV Aerosol Index (based on 360 and 388 nm), and many Auxiliary Algorithm Parameter and Quality Flags. Geolocation Fields: Latitude, Longitude, Time, Solar Zenith Angle, Viewing Zenith Angle, Relative Azimuth Angle, Terrain Height, and Ground Pixel Quality Flags. OMI Atmospheric data and documents are available from the following sites: http://disc.gsfc.nasa.gov/Aura/OMI/ http://mirador.gsfc.nasa.gov/ proprietary -OMICOL3NRT_3 Ozone Monitoring Instrument Near Real Time Data for v3 OMINRT STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000000040-OMINRT.umm_json This collection contains Near Real Time Data from the Ozone Monitoring Instrument(OMI).The OMI instrument employs hyperspectral imaging in a push-broom mode to observe solar backscatter radiation in the visible and ultraviolet. 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 -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 -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 -PM1EPHND_NRT_6.1NRT MODIS/Aqua 24-hour Spacecraft ephemeris/orbit data files to be read via SDP Toolkit Binary Format - NRT LANCEMODIS STAC Catalog 2017-10-11 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1426395235-LANCEMODIS.umm_json PM1EPHND is the Aqua Near Real Time (NRT) daily spacecraft definitive ephemeris data file in native format. This is MODIS Ancillary Data. The data collection consists of PM1 Platform Attitude Data that has been preprocessed by ECS to an internal standard supported by the ECS SDP Toolkit. This data is typically used in determining the geolocation of earth remote sensing observations.The file name format is the following: PM1EPHND_NRT.Ayyyyddd.hhmm.vvv where from left to right: PM1 = PM1 (Aqua); EPH = Spacecraft Ephemeris; N = Native format; D = Definitive; A = Acquisition; yyyy = data year, ddd = Julian data day, hh = data hour, mm = data minute; vvv = Version ID. 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 -Permafrost_ActiveLayer_NSlope_1759_1 ABoVE: Active Layer Soil Characterization of Permafrost Sites, Northern Alaska, 2018 ORNL_CLOUD STAC Catalog 2018-08-22 2018-08-26 -149.31, 68.61, -148.56, 69.81 https://cmr.earthdata.nasa.gov/search/concepts/C2143402217-ORNL_CLOUD.umm_json This dataset provides in situ soil measurements including soil dielectric properties, temperature, and moisture profiles, active layer thickness (ALT), and measurements of soil organic matter, bulk density, porosity, texture, and coarse root biomass. Samples were collected from the surface to permafrost table in soil pits at selected sites along the Dalton Highway in Northern Alaska. From North to South, the study sites include Franklin Bluffs, Sagwon, Happy Valley, Ice Cut, and Imnavait Creek. Measurements were made from August 22 to August 26, 2018. The purpose of the field campaign was to characterize the dielectric properties of permafrost active layer soils in support of the NASA Arctic and Boreal Vulnerability Experiment (ABoVE) Airborne Campaign. 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 QB02_MSI_L1B_1 QuickBird Level 1B Multispectral 4-Band Satellite Imagery CSDA STAC Catalog 2001-10-18 2015-01-27 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2497489665-CSDA.umm_json The QuickBird Level 1B Multispectral 4-Band Imagery collection contains satellite imagery acquired from Maxar Technologies by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery was collected by the DigitalGlobe QuickBird-2 satellite using the Ball High Resolution Camera 60 across the global land surface from October 2001 to January 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 2.16m at nadir and the temporal resolution is 2.5 to 5.6 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 QB02_Pan_L1B_1 QuickBird Level 1B Panchromatic Satellite Imagery CSDA STAC Catalog 2001-10-18 2015-01-27 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2497480059-CSDA.umm_json The QuickBird Panchromatic Imagery collection contains satellite imagery acquired from Maxar Technologies by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery was collected by the DigitalGlobe QuickBird-2 satellite using the Ball High Resolution Camera 60 across the global land surface from October 2001 to January 2015. This data product includes panchromatic imagery with a spatial resolution of 0.55m at nadir and a temporal resolution of 2.5 to 5.6 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 -RICMIB2E_002 MISR L1B2 Ellipsoid Product subset for the RICO region V002 LARC STAC Catalog 2000-11-01 2005-02-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1411142646-LARC.umm_json This file contains the ellipsoid projected TOA Radiance over the RICO region,resampled to WGS84 ellipsoid corrected proprietary -SAMMIB2E_3 MISR L1B2 Ellipsoid Product subset for the SAMUM region V003 LARC STAC Catalog 2006-05-12 2006-06-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000000423-LARC.umm_json This file contains Ellipsoid-projected TOA Radiance,resampled at the surface and topographically corrected, as well as geometrically corrected by PGE22 for the SAMUM_2006 theme. proprietary -SAMMIB2T_3 MISR L1B2 Terrain Product subset for the SAMUM region V003 LARC STAC Catalog 2006-05-12 2006-06-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000000440-LARC.umm_json This file contains Terrain-projected TOA Radiance,resampled at the surface and topographically corrected, as well as geometrically corrected by PGE22 for the SAMUM_2006 theme. proprietary -SAMMIGEO_2 MISR Geometric Parameters subset for the SAMUM region V002 LARC STAC Catalog 2006-05-12 2006-06-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000000421-LARC.umm_json This file contains the Geometric Parameters which measure the sun and view angles at the reference ellipsoid for the SAMUM_2006 theme. proprietary -SEAGLIDER_GUAM_2019_V1 Adaptive Sampling of Rain and Ocean Salinity from Autonomous Seagliders (Guam 2019-2020) POCLOUD STAC Catalog 2019-10-03 2020-01-15 143.63035, 13.39476, 144.613, 14.71229 https://cmr.earthdata.nasa.gov/search/concepts/C2151536874-POCLOUD.umm_json This dataset was produced by the Adaptive Sampling of Rain and Ocean Salinity from Autonomous Seagliders (NASA grant NNX17AK07G) project, an investigation to develop tools and strategies to better measure the structure and variability of upper-ocean salinity in rain-dominated environments. From October 2019 to January 2020, three Seagliders were deployed near Guam (14°N 144°E). The Seaglider is an autonomous profiler measuring salinity and temperature in the upper ocean. The three gliders sampled in an adaptive formation to capture the patchiness of the rain and the corresponding oceanic response in real time. The location was chosen because of the likelihood of intense tropical rain events and the availability of a NEXRAD (S-band) rain radar at the Guam Airport. Spacing between gliders varies from 1 to 60 km. Data samples are gridded by profile and on regular depth bins from 0 to 1000 m. The time interval between profiles was about 3 hours, and they are typically about 1.5 km apart. These profiles are available at Level 2 (basic gridding) and Level 3 (despiked and interpolated). All Seaglider data files are in netCDF format with standards compliant metadata. The project was led by a team from the Applied Physics Laboratory at the University of Washington. proprietary -SNF_ASP_CVR_140_1 Aspen Forest Cover by Stratum/Plot (SNF) ORNL_DAAC STAC Catalog 1984-05-10 1984-06-12 -92.51, 47.66, -91.77, 48.17 https://cmr.earthdata.nasa.gov/search/concepts/C179002748-ORNL_DAAC.umm_json Average percent coverage and standard deviation of each canopy stratum from subplots at each aspen site during the SNF study in the Superior National Forest, Minnesota proprietary -SRDB_V5_1827_5 A Global Database of Soil Respiration Data, Version 5.0 ORNL_CLOUD STAC Catalog 1961-01-01 2017-12-31 -163.71, -78.02, 175.9, 81.8 https://cmr.earthdata.nasa.gov/search/concepts/C2216864433-ORNL_CLOUD.umm_json The Soil Respiration Database (SRDB) is a near-universal compendium of published soil respiration (Rs) data. The database encompasses published studies that report at least one of the following data measured in the field (not laboratory): annual soil respiration, mean seasonal soil respiration, a seasonal or annual partitioning of soil respiration into its source fluxes, soil respiration temperature response (Q10), or soil respiration at 10 degrees C. The SRDB's orientation is to seasonal and annual fluxes, not shorter-term or chamber-specific measurements, and the database is dominated by temperate, well-drained forest measurement locations. Version 5 (V5) is the compilation of 2,266 published studies with measurements taken between 1961-2017. V5 features more soil respiration data published in Russian and Chinese scientific literature for better global spatio-temporal coverage and improved global climate-space representation. The database is also restructured to have better interoperability with other datasets related to carbon-cycle science. proprietary -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 -Tropical Cyclone Wind Estimation Model_1 Tropical Cyclone Wind Estimation Model MLHUB STAC Catalog 2000-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2260133500-MLHUB.umm_json This is a PyTorch model trained on the Tropical Cyclone Wind Estimation Competition dataset with v0.1 of the TorchGeo package. The model is a resnet18 model pretrained on ImageNet then trained with a MSE loss. The data were randomly split 80/20 by storm ID and an early stop was used based on performance. proprietary Turbid9_0 2004 Measurements made in the Chesapeake Bay OB_DAAC STAC Catalog 2004-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360689-OB_DAAC.umm_json Measurements made in the Chesapeake Bay in 2004. proprietary -USGS-DDS_30_P-10_cells_Not provided 1995 National Oil and Gas Assessment 1/4-Mile Cells within the San Joaquin Basin Province CEOS_EXTRA STAC Catalog 1990-12-01 1990-12-01 -121.388916, 34.890034, -118.58517, 37.83907 https://cmr.earthdata.nasa.gov/search/concepts/C2231552106-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 10 (San Joaquin Basin) are listed here by play number, type, and name: Number Type Name 1001 conventional Pliocene Non-associated Gas 1002 conventional Southeast Stable Shelf 1003 conventional Lower Bakersfield Arch 1004 conventional West Side Fold Belt Sourced by Post-Lower Miocene Rocks. 1005 conventional West Side Fold Belt Sourced by Pre-Middle Miocene Rocks 1006 conventional Northeast Shelf of Neogene Basin 1007 conventional Northern Area Non-associated Gas 1008 conventional Tejon Platform 1009 conventional South End Thrust Salient 1010 conventional East Central Basin and Slope North of Bakersfield Arch 1011 conventional Deep Overpressured Fractured Rocks of West Side Fold and Overthrust Belt proprietary -USGS_DDS_P12_cells_Not provided 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Santa Maria Basin Province CEOS_EXTRA STAC Catalog 1990-12-01 1990-12-01 -121.977486, 34.488464, -119.44189, 36.40565 https://cmr.earthdata.nasa.gov/search/concepts/C2231553039-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 12 (Santa Maria Basin) are listed here by play number, type, and name: Number Type Name 1201 conventional Anticlinal Trends - Onshore 1202 conventional Basin Margin 1204 conventional Diagenetic 1211 conventional Anticlinal Trends - Offshore State Waters proprietary -USGS_DDS_P13_cells_Not provided 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Ventura Basin Province CEOS_EXTRA STAC Catalog 1990-12-01 1990-12-01 -120.58227, 33.84158, -117.37425, 34.824276 https://cmr.earthdata.nasa.gov/search/concepts/C2231554781-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 13 (Ventura Basin) are listed here by play number, type, and name: Number Type Name 1301 conventional Paleogene - Onshore 1302 conventional Neogene - Onshore 1304 conventional Cretaceous 1311 conventional Paleogene - Offshore State Waters 1312 conventional Neogene - Offshore State Waters proprietary -USGS_DDS_P14_cells_Not provided 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Los Angeles Basin Province CEOS_EXTRA STAC Catalog 1990-12-01 1990-12-01 -119.63631, 32.7535, -117.52315, 34.17464 https://cmr.earthdata.nasa.gov/search/concepts/C2231552049-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 14 (Los Angeles Basin) are listed here by play number, type, and name: Number Type Name 1401 conventional Santa Monica Fault System and Las Cienegas Fault and Block 1402 conventional Southwestern Shelf and Adjacent Offshore State Lands 1403 conventional Newport-Inglewood Deformation Zone and Southwestern Flank of Central Syncline 1404 conventional Whittier Fault Zone and Fullerton Embayment 1405 conventional Northern Shelf and Northern Flank of Central Syncline 1406 conventional Anaheim Nose 1407 conventional Chino Marginal Basin, Puente and San Jose Hills, and San Gabriel Valley Marginal Basin proprietary -USGS_DDS_P15_cells_Not provided 1995 National Oil and Gas Assessment 1/4-Mile Cells within the San Diego - Oceanside Province CEOS_EXTRA STAC Catalog 1990-12-01 1990-12-01 -117.75433, 32.527184, -115.904816, 34.236046 https://cmr.earthdata.nasa.gov/search/concepts/C2231553715-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 15 (San Diego - Oceanside) are listed here by play number, type, and name. proprietary -USGS_DDS_P16_cells_Not provided 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Salton Trough Province CEOS_EXTRA STAC Catalog 1990-12-01 1990-12-01 -116.66911, 32.634293, -114.74501, 34.02059 https://cmr.earthdata.nasa.gov/search/concepts/C2231548651-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 16 (Salton Trough) are listed here by play number, type, and name. proprietary -USGS_DDS_P17_cells_Not provided 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Idaho - Snake River Downwarp Province CEOS_EXTRA STAC Catalog 1990-12-01 1990-12-01 -117.24303, 41.99332, -111.04548, 49.00115 https://cmr.earthdata.nasa.gov/search/concepts/C2231550494-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 17 (Idaho - Snake River Downwarp) are listed here by play number, type, and name: Number Type Name 1701 conventional Miocene Lacustrine (Lake Bruneau) 1702 conventional Pliocene Lacustrine (Lake Idaho) 1703 conventional Pre-Miocene 1704 conventional Older Tertiary proprietary -USGS_DDS_P18_cells_Not provided 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Western Great Basin Province CEOS_EXTRA STAC Catalog 1990-12-01 1990-12-01 -122.29004, 32.717037, -114.13121, 44.563953 https://cmr.earthdata.nasa.gov/search/concepts/C2231554181-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 18 (Western Great Basin) are listed here by play number, type, and name: Number Type Name 1801 conventional Hornbrook Basin-Modoc Plateau 1802 conventional Eastern Oregon Neogene Basins 1803 conventional Permian-Triassic Source Rocks Northwestern Nevada and East Central and Eastern Oregon 1804 conventional Cretaceous Source Rocks, Northwestern Nevada 1805 conventional Neogene Source Rocks, Northwestern Nevada and Eastern California proprietary -USGS_DDS_P19_cells_Not provided 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Eastern Great Basin Province CEOS_EXTRA STAC Catalog 1990-12-01 1990-12-01 -117.02622, 35.002083, -111.170425, 43.022377 https://cmr.earthdata.nasa.gov/search/concepts/C2231552402-CEOS_EXTRA.umm_json "The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 19 (Eastern Great Basin) are listed here by play number, type, and name: Number Type Name 1901 conventional Unconformity ""A"" 1902 conventional Late Paleozoic 1903 conventional Early Tertiary - Late Cretaceous Sheep Pass and Equivalents 1905 conventional Younger Tertiary Basins 1906 conventional Late Paleozoic - Mesozoic (Central Nevada) Thrust Belt 1907 conventional Sevier Frontal Zone" proprietary -USGS_DDS_P19_conventional_Not provided 1995 National Oil and Gas Assessment Conventional Plays within the Eastern Great Basin Province CEOS_EXTRA STAC Catalog 1996-01-01 1996-12-31 -117.02622, 35.002083, -111.170425, 43.022377 https://cmr.earthdata.nasa.gov/search/concepts/C2231551249-CEOS_EXTRA.umm_json "The purpose of these files is to illustrate the geologic boundary of the play as defined for the 1995 U.S. National Assessment. The play was used as the fundamental assessment unit. The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. Conventional oil and gas plays within province 19 (Eastern Great Basin) are listed here by play number and name: Number Name 1901 Unconformity ""A"" 1902 Late Paleozoic 1903 Early Tertiary - Late Cretaceous Sheep Pass and Equivalents 1905 Younger Tertiary Basins 1906 Late Paleozoic - Mesozoic (Central Nevada) Thrust Belt 1907 Sevier Frontal Zone" proprietary -USGS_DDS_P20_cells_Not provided 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Uinta - Piceance Basin Province CEOS_EXTRA STAC Catalog 1990-12-01 1990-12-01 -111.486916, 38.14689, -105.87804, 40.85869 https://cmr.earthdata.nasa.gov/search/concepts/C2231553991-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 20 (Uinta - Piceance Basin) are listed here by play number, type, and name: Number Type Name 2001 conventional Piceance Tertiary Conventional 2002 conventional Uinta Tertiary Oil and Gas 2003 conventional Upper Cretaceous Conventional 2004 conventional Cretaceous Dakota to Jurassic 2005 conventional Permian-Pennsylvanian Sandstones and Carbonates 2007 continuous Tight Gas Piceance Mesaverde Williams Fork 2009 continuous Cretaceous Self-Sourced Fractured Shales Oil 2010 continuous Tight Gas Piceance Mesaverde Iles 2014 conventional Basin Margin Subthrusts 2015 continuous Tight Gas Uinta Tertiary East 2016 continuous Tight Gas Uinta Tertiary West 2018 continuous Basin Flank Uinta Mesaverde 2020 continuous Deep Synclinal Uinta Mesaverde 2050 coalbed gas Uinta Basin - Book Cliffs 2051 coalbed gas Uinta Basin - Sego 2052 coalbed gas Uinta Basin - Emery 2053 coalbed gas Piceance Basin - White River Dome 2054 coalbed gas Piceance Basin - Western Basin Margin 2055 coalbed gas Piceance Basin - Grand Hogback 2056 coalbed gas Piceance Basin - Divide Creek Anticline 2057 coalbed gas Piceance Basin - Igneous Intrusion proprietary -USGS_DDS_P20_continuous_Not provided 1995 National Oil and Gas Assessment Continuous-Type Plays within the Uinta - Piceance Basin Province CEOS_EXTRA STAC Catalog 1996-01-01 1996-12-31 -111.486916, 38.14689, -105.87804, 40.85869 https://cmr.earthdata.nasa.gov/search/concepts/C2231554716-CEOS_EXTRA.umm_json The purpose of the play map is to illustrate the geologic boundary of the play as defined for the 1995 U.S. National Assessment. The play was used as the fundamental assessment unit. The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. Continuous oil and gas plays within province 20 (Uinta - Piceance Basin) are listed here by play number and name: Number Name 2007 Tight Gas Piceance Mesaverde Williams Fork 2009 Cretaceous Self-Sourced Fractured Shales Oil 2010 Tight Gas Piceance Mesaverde Iles 2015 Tight Gas Uinta Tertiary East 2016 Tight Gas Uinta Tertiary West 2018 Basin Flank Uinta Mesaverde 2020 Deep Synclinal Uinta Mesaverde 2050 Uinta Basin - Book Cliffs 2051 Uinta Basin - Sego 2052 Uinta Basin - Emery 2053 Piceance Basin - White River Dome 2054 Piceance Basin - Western Basin Margin 2055 Piceance Basin - Grand Hogback 2056 Piceance Basin - Divide Creek Anticline 2057 Piceance Basin - Igneous Intrusion proprietary -USGS_DDS_P2_cells_Not provided 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Central Alaska Province CEOS_EXTRA STAC Catalog 1990-12-01 1990-12-01 -173.22636, 58.49761, -140.99017, 68.01999 https://cmr.earthdata.nasa.gov/search/concepts/C2231550471-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 2 (Central Alaska) are listed here by play number, type, and name: Number Type Name 201 conventional Central Alaska Cenozoic Gas 202 conventional Central Alaska Mesozoic Gas 203 conventional Central Alaska Paleozoic Oil 204 conventional Kandik Pre-Mid-Cretaceous Strata 205 conventional Kandik Upper Cretaceous and Tertiary Non-Marine Stata proprietary -USGS_DDS_P2_conventional_Not provided 1995 National Oil and Gas Assessment Conventional Plays within the Central Alaska Province CEOS_EXTRA STAC Catalog 1996-01-01 1996-12-31 -173.22636, 58.49761, -140.99017, 68.01999 https://cmr.earthdata.nasa.gov/search/concepts/C2231551071-CEOS_EXTRA.umm_json The purpose of these files is to illustrate the geologic boundary of the play as defined for the 1995 U.S. National Assessment. The play was used as the fundamental assessment unit. The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. Conventional oil and gas plays within province 2 (Central Alaska) are listed here by play number and name: Number Name 201 Central Alaska Cenozoic Gas 202 Central Alaska Mesozoic Gas 203 Central Alaska Paleozoic Oil 204 Kandik Pre-Mid-Cretaceous Strata 205 Kandik Upper Cretaceous and Tertiary Non-Marine Stata proprietary -USGS_P-11_cells_Not provided 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Central Coastal Province CEOS_EXTRA STAC Catalog 1990-12-01 1990-12-01 -123.80987, 34.66294, -118.997696, 39.082233 https://cmr.earthdata.nasa.gov/search/concepts/C2231552077-CEOS_EXTRA.umm_json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 11 (Central Coastal) are listed here by play number, type, and name: Number Type Name 1101 conventional Point Arena Oil 1102 conventional Point Reyes Oil 1103 conventional Pescadero Oil 1104 conventional La Honda Oil 1105 conventional Bitterwater Oil 1106 conventional Salinas Oil 1107 conventional Western Cuyama Basin 1109 conventional Cox Graben proprietary -USGS_P-11_conventional_Not provided 1995 National Oil and Gas Assessment Conventional Plays within the Central Coastal Province CEOS_EXTRA STAC Catalog 1996-01-01 1996-12-31 -123.80987, 34.66294, -118.997696, 39.082233 https://cmr.earthdata.nasa.gov/search/concepts/C2231551956-CEOS_EXTRA.umm_json The purpose of these files is to illustrate the geologic boundary of the play as defined for the 1995 U.S. National Assessment. The play was used as the fundamental assessment unit. The fundamental geologic unit used in the 1995 National Oil and Gas Assessment was the play, which is defined as a set of known or postulated oil and or gas accumulations sharing similar geologic, geographic, and temporal properties, such as source rock, migration pathways, timing, trapping mechanism, and hydrocarbon type. The geographic limit of each play was defined and mapped by the geologist responsible for each province. The play boundaries were defined geologically as the limits of the geologic elements that define the play, such as the limits of the reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are plays that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the play boundary. The play boundaries were defined in the period 1993-1994. Conventional oil and gas plays within province 11 (Central Coastal) are listed here by play number and name: Number Name 1101 Point Arena Oil 1102 Point Reyes Oil 1103 Pescadero Oil 1104 La Honda Oil 1105 Bitterwater Oil 1106 Salinas Oil 1107 Western Cuyama Basin 1109 Cox Graben proprietary -USGS_SOFIA_eco_hist_db1995-2007_version 7 1995 - 2007 Ecosystem History of South Florida's Estuaries Database version 7 CEOS_EXTRA STAC Catalog 1994-09-27 2007-04-03 -81.83, 24.75, -80, 26.5 https://cmr.earthdata.nasa.gov/search/concepts/C2231554288-CEOS_EXTRA.umm_json The 1995 - 2007 Ecosystem History of South Florida's Estuaries Database contains listings of all sites (modern and core), modern monitoring site survey information (water chemistry, floral and faunal data, etc.), and published core data. Two general types of data are contained within this database: 1) Modern Field Data and 2) Core data - primarily faunal assemblages. Data are available for modern sites and cores in the general areas of Florida Bay, Biscayne Bay, and the southwest (Florida) coastal mangrove estuaries. Specific sites in the Florida Bay area include Taylor Creek, Bob Allen Key, Russell Bank, Pass Key, Whipray Basin, Rankin Bight, park Key, and Mud Creek core). Specific Biscayne Bay sites include Manatee Bay, Featherbed Bank, Card bank, No Name Bank, Middle Key, Black Point North, and Chicken Key. Sites on the southwest coast include Alligator Bay, Big Lostmans Bay, Broad River Bay, Roberts River mouth, Tarpon Bay, Lostmans River First and Second Bays, Harney River, Shark River near entrance to Ponce de Leon Bay, and Shark River channels. Modern field data contains (1) general information about the site, description, latitude and longitude, date of data collection, (2) water chemistry information, and (3) descriptive text of fauna and flora observed at the site. Core data contain either percent abundance data or actual counts of the distribution of mollusks, ostracodes, forams, and pollen within the cores collected in the estuaries. For some cores dinocyst or diatom data may be available. proprietary -USGS_cont1992_Not provided 1992 Water-Table Contours of the Mojave River Ground-Water Basin, San Bernardino County, California CEOS_EXTRA STAC Catalog 1970-01-01 -117.652695, 34.364513, -116.55357, 35.081955 https://cmr.earthdata.nasa.gov/search/concepts/C2231553864-CEOS_EXTRA.umm_json This data set consists of digital water-table contours for the Mojave River Basin. The U.S. Geological Survey, in cooperation with the Mojave Water Agency, constructed a water-table map of the Mojave River ground-water basin for ground-water levels measured in November 1992. Water-level data were collected from approximately 300 wells to construct the contours. The water-table contours were digitized from the paper map which was published at a scale of 1:125,000. The contour interval ranges from 3,200 to 1,600 feet above sea level. [Summary provided by the USGS.] proprietary -USGS_cont1994_Not provided 1994 Water-Table Contours of the Morongo Ground-Water Basin, San Bernardino County, California CEOS_EXTRA STAC Catalog 1970-01-01 -117.07194, 34.095333, -115.98976, 34.64026 https://cmr.earthdata.nasa.gov/search/concepts/C2231554677-CEOS_EXTRA.umm_json This data set consists of digital water-table contours for the Morongo Basin. The U.S. Geological Survey constructed a water-table map of the Morongo ground-water basin for ground-water levels measured during the period January-October 1994. Water-level data were collected from 248 wells to construct the contours. The water-table contours were digitized from the paper map which was published at a scale of 1:125,000. The contour interval ranges from 3,400 to 1,500 feet above sea level. [Summary provided by the USGS.] proprietary -UTC_1990countyboundaries_Not provided 1990 County Boundaries of the United States CEOS_EXTRA STAC Catalog 1972-01-01 1990-12-31 -177.1, 13.71, -61.48, 76.63 https://cmr.earthdata.nasa.gov/search/concepts/C2231550562-CEOS_EXTRA.umm_json This data set portrays the 1990 State and county boundaries of the United States, Puerto Rico, and the U.S. Virgin Islands. The data set was created by extracting county polygon features from the individual 1:2,000,000-scale State boundary Digital Line Graph (DLG) files produced by the U.S. Geological Survey. These files were then merged into a single file and the boundaries were modified to what they were in 1990. This is a revised version of the March 2000 data set. proprietary -VBEMIGEO_002 MISR Geometric Parameters subset for the VBBE region V002 LARC STAC Catalog 2007-08-01 2007-09-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1626189747-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 VBBE region V003 contains the Geometric Parameters which measure the sun and view angles at the reference ellipsoid. proprietary WV01_Pan_L1B_1 WorldView-1 Level 1B Panchromatic Satellite Imagery CSDA STAC Catalog 2007-10-10 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2497387766-CSDA.umm_json The WorldView-1 Level 1B Panchromatic Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Panchromatic imagery is collected by the DigitalGlobe WorldView-1 satellite using the WorldView-60 camera across the global land surface from September 2007 to the present. Data have a spatial resolution of 0.5 meters at nadir and a temporal resolution of approximately 1.7 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 WV02_MSI_L1B_1 WorldView-2 Level 1B Multispectral 8-Band Satellite Imagery CSDA STAC Catalog 2009-10-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2497404794-CSDA.umm_json The WorldView-2 Level 1B Multispectral 8-Band Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery is collected by the DigitalGlobe WorldView-2 satellite using the WorldView-110 camera across the global land surface from October 2009 to the present. This satellite imagery is in the visible and near-infrared waveband range with data in the coastal, blue, green, yellow, red, red edge, and near-infrared (2 bands) wavelengths. It has a spatial resolution of 1.85m at nadir and a temporal resolution of approximately 1.1 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 WV02_Pan_L1B_1 WorldView-2 Level 1B Panchromatic Satellite Imagery CSDA STAC Catalog 2009-10-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2497398128-CSDA.umm_json The WorldView-2 Level 1B Panchromatic Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery is collected by the DigitalGlobe WorldView-2 satellite using the WorldView-110 camera across the global land surface from October 2009 to the present. This data product includes panchromatic imagery with a spatial resolution of 0.46m and a temporal resolution of approximately 1.1 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 @@ -534,19 +98,13 @@ WV03_Pan_L1B_1 WorldView-3 Level 1B Panchromatic Satellite Imagery CSDA STAC Cat WV03_SWIR_L1B_1 WorldView-3 Level 1B Shortwave Infrared 8-Band Satellite Imagery CSDA STAC Catalog 2014-08-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2497415947-CSDA.umm_json The WorldView-3 Level 1B Shortwave Infrared 8-Band Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery is collected by the DigitalGlobe WorldView-3 satellite using the WorldView-110 camera across the global land surface from August 2014 to the present. This data product includes 8 shortwave infrared bands. The spatial resolution is 3.7m at nadir and the temporal resolution is less than one day. 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 WV04_MSI_L1B_1 WorldView-4 Level 1B Multispectral 4-Band Satellite Imagery CSDA STAC Catalog 2016-12-01 2019-01-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2497446902-CSDA.umm_json The WorldView-4 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 DigitalGlobe WorldView-4 satellite using the SpaceView-110 camera across the global land surface from December 2016 to January 2019. This satellite imagery is in the visible and near-infrared waveband range with data in the blue, green, red, and near-infrared wavelengths. The multispectral imagery has a spatial resolution of 1.24m at nadir and has a temporal resolution of approximately 1.1 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 Maxar End User License Agreement for Worldview 4 imagery and investigators must be approved by the CSDA Program. proprietary WV04_Pan_L1B_1 WorldView-4 Level 1B Panchromatic Satellite Imagery CSDA STAC Catalog 2016-12-01 2019-01-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2497439327-CSDA.umm_json The WorldView-4 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 DigitalGlobe WorldView-4 satellite using the WorldView-110 camera across the global land surface from December 2016 to January 2019. This data product includes panchromatic imagery with a spatial resolution of 0.31m at nadir and a temporal resolution of approximately 1.1 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 -WaterBalance_Daily_Historical_GRIDMET_1.5 Daily Historical Water Balance Products for the CONUS LPCLOUD STAC Catalog 1980-01-01 2021-12-31 -131.70607, 21.115301, -60.530453, 55.457306 https://cmr.earthdata.nasa.gov/search/concepts/C2674694066-LPCLOUD.umm_json This dataset provides daily historical Water Balance Model outputs from a Thornthwaite-type, single bucket model. Climate inputs to the model are from GridMet daily temperature and precipitation for the Continental United States (CONUS). The Water Balance Model output variables include the following: Potential Evapotranspiration (PET, mm), Actual Evapotranspiration (AET, mm), Moisture Deficit (Deficit, mm), Soil Water (soilwater, mm), Runoff (mm), Rain (mm), and Accumulated Snow Water Equivalent (accumswe, mm). The dataset covers the period from January 1 to December 31 for years 1980 through 2021 for the CONUS. Water Balance Model variables are provided as individual files, by variable and year, at a 1 km x 1 km spatial resolution and a daily temporal resolution. Data are in a North America Lambert Conformal Conic projection and are distributed in a standardized Climate and Forecast (CF)-compliant NetCDF file format. proprietary -a6efcb0868664248b9cb212aba44313d_NA ESA Aerosol Climate Change Initiative (Aerosol CCI): Level 2 aerosol products from MERIS (ALAMO algorithm), Version 2.2 FEDEO STAC Catalog 2008-01-01 2008-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548142742-FEDEO.umm_json The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises the Level 2 aerosol products from MERIS for 2008, using the ALAMO algorithm, version 2.2. The data have been provided by Hygeos.For further details about these data products please see the linked documentation. proprietary -a7e11745933a4f37b5aa1d4b23d71a83_NA ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 2 aerosol products from ATSR-2 (ADV algorithm), Version 2.31 FEDEO STAC Catalog 1995-06-01 2002-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548142909-FEDEO.umm_json The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 2 aerosol products from the ATSR-2 instrument on the ERS-2 satellite, derived using the ADV algorithm, version 2.31. Data are available for the period 1995-2002.For further details about these data products please see the linked documentation. proprietary -a8b8191d62504acdb218d4767b446280_NA ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 2 aerosol products from ATSR-2 (SU algorithm), Version 4.3 FEDEO STAC Catalog 1995-06-01 2003-06-22 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548143186-FEDEO.umm_json The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 2 aerosol products from the ATSR-2 instrument on the ERS-2 satellite, derived using the Swansea University (SU) algorithm, version 4.3. Data are available for the period 1995-2003.For further details about these data products please see the documentation. proprietary aamhcpex_1 AAMH CPEX V1 GHRC_DAAC STAC Catalog 2017-05-26 2017-07-16 154.716, 0.6408, -19.5629, 44.9689 https://cmr.earthdata.nasa.gov/search/concepts/C2645106424-GHRC_DAAC.umm_json The AAMH CPEX dataset contains products obtained from the MetOp-A, MetOp-B, NOAA-18, and NOAA-19 satellites. These data were collected in support of the NASA Convective Processes Experiment (CPEX) field campaign. The CPEX field campaign took place in the North Atlantic-Gulf of Mexico-Caribbean Sea region from 25 May-25 June 2017. CPEX conducted a total of sixteen DC-8 missions from 27 May-24 June. The CPEX campaign collected data to help explain convective storm initiation, organization, growth, and dissipation in the North Atlantic-Gulf of Mexico-Caribbean Oceanic region during the early summer of 2017. These data are available from May 26, 2017 through July 15, 2017 and are available in netCDF-4 format. proprietary -ab90030e26c54ba495b1cbec51e137e1_NA ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 3 aerosol products from AATSR (ADV algorithm), Version 2.31 FEDEO STAC Catalog 2002-07-24 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548142756-FEDEO.umm_json The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 3 daily and monthly gridded aerosol products from the AATSR instrument on the ENVISAT satellite, derived using the ADV algorithm, version 2.31. Data is available for the period from 2002 to 2012.For further details about these data products please see the linked documentation. proprietary aces1am_1 ACES Aircraft and Mechanical Data V1 GHRC_DAAC STAC Catalog 2002-07-10 2002-08-30 -85, 23, -81, 26 https://cmr.earthdata.nasa.gov/search/concepts/C1977826980-GHRC_DAAC.umm_json The ACES Aircraft and Mechanical Data consist of aircraft (e.g. pitch, roll, yaw) and mechanical (e.g. aircraft engine speed, tail commands, fuel levels) data recorded by the Altus II Unmanned Aerial Vehicle (Altus II UAV) system during the Altus Cumulus Electrification Study (ACES) based at the Naval Air Facility Key West in Florida. ACES aimed to provide extensive observations of the cloud electrification process and its effects by using the Altus II UAV to collect cloud top observations of thunderstorms. The campaign also worked to validate satellite lightning measurements. The Altus II aircraft and mechanical data files are available from July 10 through August 30, 2002 in MATLAB data format (.mat). proprietary aces1cont_1 ACES CONTINUOUS DATA V1 GHRC_DAAC STAC Catalog 2002-07-10 2002-08-30 -85, 23, -81, 26 https://cmr.earthdata.nasa.gov/search/concepts/C1977847043-GHRC_DAAC.umm_json The ALTUS Cloud Electrification Study (ACES) was based at the Naval Air Facility Key West in Florida. During August, 2002, ACES researchers conducted overflights of thunderstorms over the southwestern corner of Florida. For the first time in NASA research, an uninhabited aerial vehicle (UAV) named ALTUS was used to collect cloud electrification data. Carrying field mills, optical sensors, electric field sensors and other instruments, ALTUS allowed scientists to collect cloudelectrification data for the first time from above the storm, from its birth through dissipation. This experiment allowed scientists to achieve the dual goals of gathering weather data safely and testing new aircraft technology. This dataset consists of data collected from seven instruments: the Slow/Fast antenna, Electric Field Mill, Dual Optical Pulse Sensor, Searchcoil Magnetometer, Accelerometers, Gerdien Conductivity Probe, and the Fluxgate Magnetometer. Data consists of sensor reads at 50HZ throughout the flight from all 64 channels. proprietary aces1efm_1 ACES ELECTRIC FIELD MILL V1 GHRC_DAAC STAC Catalog 2002-07-10 2002-08-30 -85, 23, -81, 26 https://cmr.earthdata.nasa.gov/search/concepts/C1977847178-GHRC_DAAC.umm_json The ALTUS Cloud Electrification Study (ACES) was based at the Naval Air Facility Key West in Florida. During August 2002, ACES researchers conducted overflights of thunderstorms over the southwestern corner of Florida. For the first time in NASA research, an uninhabited aerial vehicle (UAV) named ALTUS was used to collect cloud electrification data. Carrying field mills, optical sensors, electric field sensors and other instruments, ALTUS allowed scientists to collect cloud electrification data for the first time from above the storm, from it's birth through dissipation. This experiment allowed scientists to achieve the dual goals of gathering weather data safely and testing new aircraft technology. This dataset consists of data from Electric Field Mills, which yield information about the atmospheric electrical fields above the instruments. proprietary aces1log_1 ACES LOG DATA V1 GHRC_DAAC STAC Catalog 2002-07-10 2002-08-30 -85, 23, -81, 26 https://cmr.earthdata.nasa.gov/search/concepts/C1977853903-GHRC_DAAC.umm_json The ALTUS Cloud Electrification Study (ACES) was based at the Naval Air Facility Key West in Florida. During August 2002, ACES researchers conducted overflights of thunderstorms over the southwestern corner of Florida. For the first time in NASA research, an uninhabited aerial vehicle (UAV) named ALTUS was used to collect cloud electrification data. Carrying field mills, optical sensors, electric field sensors and other instruments, ALTUS allowed scientists to collect cloud electrification data for the first time from above the storm, from its birth through dissipation. This experiment allowed scientists to achieve the dual goals of gathering weather data safely and testing new aircraft technology. This dataset consists of log data from each flight, and yields instrument and aircraft status throughout the flight. proprietary aces1time_1 ACES TIMING DATA V1 GHRC_DAAC STAC Catalog 2002-07-10 2002-08-30 -85, 23, -81, 26 https://cmr.earthdata.nasa.gov/search/concepts/C1977855412-GHRC_DAAC.umm_json The ALTUS Cloud Electrification Study (ACES) was based at the Naval Air Facility Key West in Florida. During August or 2002, ACES researchers overflights of thunderstorms over the southwestern corner of Florida. For the first time in NASA research, an uninhabited aerial vehicle (UAV) named ALTUS was used to collect cloud electrification data. Carrying field mills, optical sensors, electric field sensors and other instruments, ALTUS allowed scientists to collect cloud electrification data for the first time from above the storm, from its birth through dissipation. This experiment allowed scientists to achieve the dual goals of gathering weather data safely and testing new aircraft technology. This dataset consists of timing data used for the experiment. When used it provides: syncclock_time = time found at the syncclock (VSI-SYnCCLOCK-32) in seconds from first file name, syncclock_m_time = time found at the syncclock (VSI-SYnCCLOCK-32) in Matlab dateform format, system_time = system time in seconds from first file name, system_m_time = system time in dateform format, gps_time = time found at the GPS unit in seconds from first file name, gps_m_time = time found at GPS unit in dateform, cmos_time = time found at the computer CMOS in seconds from first file name, cmos_m_time = time found at the computer CMOS in dateform. proprietary aces1trig_1 ACES TRIGGERED DATA V1 GHRC_DAAC STAC Catalog 2002-07-10 2002-08-30 -85, 23, -81, 26 https://cmr.earthdata.nasa.gov/search/concepts/C1977858342-GHRC_DAAC.umm_json The ALTUS Cloud Electrification Study (ACES) was based at the Naval Air Facility Key West in Florida. During August 2002, ACES researchers conducted overflights of thunderstorms over the southwestern corner of Florida. For the first time in NASA research, an uninhabited aerial vehicle (UAV) named ALTUS was used to collect cloud electrification data. Carrying field mills, optical sensors, electric field sensors and other instruments, ALTUS allowed scientists to collect cloud electrification data for the first time from above the storm, from its birth through dissipation. This experiment allowed scientists to achieve the dual goals of gathering weather data safely and testing new aircraft technology. This dataset consists of data collected from the following instruments: Slow/Fast antenna, Electric Field Mill, Optical Pulse Sensors, Searchcoil Magnetometer, Accelerometer, and Gerdien Conductivity Probe. These data were collected at 200KHz from the first 16 telemetry items collected on the aircraft, were initiated by an operator selected trigger (e.g. DOPS), and continued collecting for as long as the trigger continued. 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 amprimpacts_1 Advanced Microwave Precipitation Radiometer (AMPR) IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-18 2022-02-28 -118.51, 30.6918, -64.3661, 48.2585 https://cmr.earthdata.nasa.gov/search/concepts/C2004708841-GHRC_DAAC.umm_json The Advanced Microwave Precipitation Radiometer (AMPR) IMPACTS dataset consists of brightness temperature measurements collected by the Advanced Microwave Precipitation Radiometer (AMPR) onboard the NASA ER-2 high-altitude research aircraft. AMPR provides multi-frequency microwave imagery, with high spatial and temporal resolution for deriving cloud, precipitation, water vapor and surface properties. These measurements were taken during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) campaign. Funded by NASA’s Earth Venture program, IMPACTS is the first comprehensive study of East Coast snowstorms in 30 years. Data files are available from January 18, 2020 through February 28, 2022 in netCDF-4 format. proprietary amprtbcx1_2 AMPR BRIGHTNESS TEMPERATURE CAMEX-1 V2 GHRC_DAAC STAC Catalog 1993-09-26 1993-10-05 -83.8511, 23.9917, -68.2377, 42.6325 https://cmr.earthdata.nasa.gov/search/concepts/C1977858400-GHRC_DAAC.umm_json The Advanced Microwave Precipitation Radiometer (AMPR) was deployed during the Convection and Moisture Experiments (CAMEX-1) conducted at Wallops Island, VA. AMPR data were collected at a combination of frequencies (10.7, 19.35, 37.1, and 85.5 GHz) during the time period of September 26 - October 5, 1993. The geographic domain of the CAMEX region was between 25.5N - 43N latitude and 70W - 83W longitude. proprietary amprtbcx2_2 AMPR BRIGHTNESS TEMPERATURE CAMEX-2 V2 GHRC_DAAC STAC Catalog 1995-08-23 1995-08-30 -78.907, 30.0262, -72.3661, 41.0703 https://cmr.earthdata.nasa.gov/search/concepts/C1977858440-GHRC_DAAC.umm_json The Advanced Microwave Precipitation Radiometer (AMPR) was deployed during the Convection and Moisture Experiment 2 (CAMEX-2). AMPR data were collected at a combination of frequencies (10.7, 19.35, 37.1, and 85.5 GHz) during the time period of August 23 - August 30, 1995. The geographic domain of the CAMEX-2 region was between 25.5 N - 43 N latitude and 83 W - 70 W longitude. proprietary @@ -558,16 +116,7 @@ amsua17sp_1 ADVANCED MICROWAVE SOUNDING UNIT-A (AMSU-A) SWATH FROM NOAA-17 V1 GH apr3cpex_1 Airborne Precipitation Radar 3rd Generation (APR-3) CPEX V1 GHRC_DAAC STAC Catalog 2017-05-27 2017-06-24 -96.0262, 16.8091, -69.2994, 28.9042 https://cmr.earthdata.nasa.gov/search/concepts/C2409563129-GHRC_DAAC.umm_json The Airborne Precipitation Radar 3rd Generation (APR-3) CPEX dataset consists of radar reflectivity, Doppler velocity for all bands, linear depolarization ratio Ku-band, and normalized radar cross section measurements at Ka- and Ku- bands data collected by the APR-3 onboard the NASA DC-8 aircraft. These data were gathered during the Convective Processes Experiment (CPEX) aircraft field campaign. CPEX collected data to help answer questions about convective storm initiation, organization, growth, and dissipation in the North Atlantic-Gulf of Mexico-Caribbean Oceanic region during the early summer of 2017. These data files are available from May 27, 2017 through June 24, 2017 in a HDF-5 file, with associated browse imagery in JPG format. proprietary apr3cpexaw_1 Airborne Precipitation Radar 3rd Generation (APR-3) CPEX-AW V1 GHRC_DAAC STAC Catalog 2021-08-20 2021-09-04 -80.7804, 11.8615, -45.6417, 34.046 https://cmr.earthdata.nasa.gov/search/concepts/C2269541013-GHRC_DAAC.umm_json The Airborne Precipitation Radar 3rd Generation (APR-3) CPEX-AW dataset consists of radar reflectivity, Doppler velocity for all bands, linear depolarization ratio Ku-band, and normalized radar cross section measurements at Ka- and Ku- bands data collected by the APR-3 onboard the NASA DC-8 aircraft. These data were gathered during the Convective Processes Experiment – Aerosols & Winds (CPEX-AW) field campaign. CPEX-AW 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. These data files are available from August 20, 2021 through September 4, 2021 in a MatLab file, with associated browse files in JPEG format. proprietary apr3cpexcv_1 Airborne Precipitation Radar 3rd Generation (APR-3) CPEX-CV GHRC_DAAC STAC Catalog 2022-09-02 2022-09-30 -89.6733315, 1.7593585, -14.8189435, 39.1985524 https://cmr.earthdata.nasa.gov/search/concepts/C2708951073-GHRC_DAAC.umm_json The Airborne Precipitation Radar 3rd Generation (APR-3) CPEX-CV dataset consists of radar reflectivity, Doppler velocity for all bands, linear depolarization ratio Ku-band, and normalized radar cross-section measurements at Ka- and Ku- bands data collected by the APR-3 onboard the NASA DC-8 aircraft. These data were gathered during the Convective Processes Experiment – Cabo Verde (CPEX-CV) field campaign. The NASA CPEX-CV field campaign will be based out of Sal Island, Cabo Verde from August through September 2022. The campaign is a continuation of CPEX – Aerosols and Winds (CPEX-AW) and was conducted aboard the NASA DC-8 aircraft equipped with remote sensors and dropsonde-launch capability that will allow for the measurement of tropospheric aerosols, winds, temperature, water vapor, and precipitation. The overarching CPEX-CV goal was to investigate atmospheric dynamics, marine boundary layer properties, convection, the dust-laden Saharan Air Layer, and their interactions across various spatial scales to improve understanding and predictability of process-level lifecycles in the data-sparse tropical East Atlantic region. These data files are available from September 2, 2022, through September 30, 2022, in netCDF-4 format, with associated browse imagery in JPG format. proprietary -asas_Not provided Advanced Solid-state Array Spectroradiometer (ASAS) USGS_LTA STAC Catalog 1988-06-26 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1220566261-USGS_LTA.umm_json The Advanced Solid-state Array Spectroradiometer (ASAS) data collection contains data collected by the ASAS sensor flown aboard NASA aircraft. A fundamental use of ASAS data is to characterize and understand the directional variability in solar energy scattered by various land surface cover types (e.g.,crops, forests, prairie grass, snow, or bare soil). The sensor's Bidirectional Reflectance Distribution Function determines the variation in the reflectance of a surface as a function of both the view zenith angle and solar illumination angle. The ASAS sensor is a hyperspectral, multiangle, airborne remote sensing instrument maintained and operated by the Laboratory for Terrestrial Physics at NASA's Goddard Space Flight Center in Greenbelt, Maryland. The ASAS instrument is mounted on the underside of either NASA C-130 or NASA P-3 aircraft and is capable of off-nadir pointing from approximately 70 degrees forward to 55 degrees aft along the direction of flight. The aircraft is flown at an altitude of 5000 - 6000 meters (approximately 16,000 - 20,000 ft.). Data in the ASAS collection primarily cover areas over the continental United States, but some ASAS data are also available over areas in Canada and western Africa. The ASAS data were collected between 1988 and 1994. proprietary ascatcpex_1 Advanced Scatterometer (ASCAT) CPEX V1 GHRC_DAAC STAC Catalog 2017-05-24 2017-07-16 160.241, 3.9062, -25.0958, 42.5176 https://cmr.earthdata.nasa.gov/search/concepts/C2428509185-GHRC_DAAC.umm_json The Advanced Scatterometer (ASCAT) CPEX dataset consists of ice probability, wind speed, and wind direction estimates collected by the ASCAT. The ASCAT is onboard the MetOp-A and MetOp-B satellites and uses radar to measure the electromagnetic backscatter from the wind-roughened ocean surface, from which data on wind speed and direction can be derived. These data were gathered during the Convective Processes Experiment (CPEX) field campaign. CPEX collected data to help answer questions about convective storm initiation, organization, growth, and dissipation in the North Atlantic-Gulf of Mexico-Caribbean Oceanic region during the early summer of 2017. These data files are available from May 24, 2017 through July 16, 2017 in netCDF-3 format. proprietary -aster_global_dem_Not provided ASTER Global DEM USGS_LTA STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1220567908-USGS_LTA.umm_json ASTER is capable of collecting in-track stereo using nadir- and aft-looking near infrared cameras. Since 2001, these stereo pairs have been used to produce single-scene (60- x 60-kilomenter (km)) digital elevation models (DEM) having vertical (root-mean-squared-error) accuracies generally between 10- and 25-meters (m). The methodology used by Japan's Sensor Information Laboratory Corporation (SILC) to produce the ASTER GDEM involves automated processing of the entire ASTER Level-1A archive. Stereo-correlation is used to produce over one million individual scene-based ASTER DEMs, to which cloud masking is applied to remove cloudy pixels. All cloud-screened DEMS are stacked and residual bad values and outliers are removed. Selected data are averaged to create final pixel values, and residual anomalies are corrected before partitioning the data into 1 degree (°) x 1° tiles. The ASTER GDEM covers land surfaces between 83°N and 83°S and is comprised of 22,702 tiles. Tiles that contain at least 0.01% land area are included. The ASTER GDEM is distributed as Geographic Tagged Image File Format (GeoTIFF) files with geographic coordinates (latitude, longitude). The data are posted on a 1 arc-second (approximately 30–m at the equator) grid and referenced to the 1984 World Geodetic System (WGS84)/ 1996 Earth Gravitational Model (EGM96) geoid. proprietary avapsimpacts_1 Advanced Vertical Atmospheric Profiling System Dropsondes (AVAPS) IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-12 2022-02-25 -77.8148, 33.5415, -65.44, 44.1677 https://cmr.earthdata.nasa.gov/search/concepts/C2004708338-GHRC_DAAC.umm_json The Advanced Vertical Atmospheric Profiling System (AVAPS) IMPACTS dataset consists of vertical atmospheric profile measurements collected by the Advanced Vertical Atmospheric Profiling System (AVAPS) dropsondes released from the NASA P-3 aircraft 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 (2020-2023). 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. AVAPS uses a Global Positioning System (GPS) dropsonde to measure atmospheric state parameters (temperature, humidity, wind speed/direction, pressure) and location in 3-dimensional space during the dropsonde’s descent. The AVAPS dataset files are available from January 12, 2020 through February 25, 2022 in ASCII-ict format. proprietary -b03b3887ad2f4d5481e7a39344239ab2_NA ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 2 aerosol products from AATSR (SU Algorithm), Version 4.3 FEDEO STAC Catalog 2002-05-20 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548142709-FEDEO.umm_json The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 2 aerosol products from the AATSR instrument on the ENVISAT satellite, derived using the Swansea University (SU) algorithm, version 4.3. It covers the period from 2002 - 2012.For further details about these data products please see the linked documentation. proprietary -b673f41b-d934-49e4-af6b-44bbdf164367_NA AVHRR - Land Surface Temperature (LST) - Europe, Daytime FEDEO STAC Catalog 1998-02-23 -24, 28, 57, 78 https://cmr.earthdata.nasa.gov/search/concepts/C2207458008-FEDEO.umm_json "The ""Land Surface Temperature derived from NOAA-AVHRR data (LST_AVHRR)"" is a fixed grid map (in stereographic projection ) with a spatial resolution of 1.1 km. The total size covering Europe is 4100 samples by 4300 lines. Within 24 hours of acquiring data from the satellite, day-time and night-time LSTs are calculated. In general, the products utilise data from all six of the passes that the satellite makes over Europe in each 24 hour period. For the daily day-time LST maps, the compositing criterion for the three day-time passes is maximum NDVI value and for daily night-time LST maps, the criterion is the maximum night-time LST value of the three night-time passes. Weekly and monthly day-time or night-time LST composite products are also produced by averaging daily day-time or daily night-time LST values, respectively. The range of LST values is scaled between –39.5°C and +87°C with a radiometric resolution of 0.5°C. A value of –40°C is used for water. Clouds are masked out as bad values. For additional information, please see: https://wdc.dlr.de/sensors/avhrr/" proprietary -cdcb0605afa74885a66d8be0fdd2ed24_NA ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 2 aerosol products from AATSR (ensemble product), Version 2.6 FEDEO STAC Catalog 2002-07-24 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548143205-FEDEO.umm_json The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 2 aerosol products from the AATSR instrument on the ENVISAT satellite. The data is an uncertainty-weighted ensemble of the outputs of three separate algorithms (the SU, ADV, and ORAC algorithms.) This product is version 2.6 of the ensemble product. Data is provided for the period 2002 to 2012. For further details about these data products please see the documentation. proprietary chesapeake_val_2013_0 2013 Chesapeake Bay measurements OB_DAAC STAC Catalog 2013-04-11 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360188-OB_DAAC.umm_json 2013 Chesapeake Bay measurements. proprietary -ef6a9266-a210-4431-a4af-06cec4274726_NA Cartosat-1 (IRS-P5) - Panchromatic Images (PAN) - Europe, Monographic FEDEO STAC Catalog 2015-02-10 -25, 30, 45, 80 https://cmr.earthdata.nasa.gov/search/concepts/C2207457985-FEDEO.umm_json Indian Remote Sensing satellites (IRS) are a series of Earth Observation satellites, built, launched and maintained by Indian Space Research Organisation. The IRS series provides many remote sensing services to India and international ground stations. The satellite has two panchromatic cameras that were especially designed for in flight stereo viewing. However, this collection contains the monoscopic data. proprietary -fluxnet_alaska_629_1 Arctic Tundra Flux Study in the Kuparuk River Basin (Alaska), 1994-1996 ORNL_DAAC STAC Catalog 1994-01-01 1997-01-01 -150.3, 67.3, -147, 69.5 https://cmr.earthdata.nasa.gov/search/concepts/C179002754-ORNL_DAAC.umm_json CO2 and water vapor fluxes and ecosystem characteristics were measured at 24 sites along a 317-km transect from the Arctic coast to the latitudinal treeline in Alaska during the growing seasons of 1994-1996. proprietary lake_erie_aug_2014_0 2014 Lake Erie measurements OB_DAAC STAC Catalog 2014-08-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360418-OB_DAAC.umm_json 2014 Lake Erie measurements. proprietary -richriver_228_1 Amazon River Basin Precipitation, 1972-1992 ORNL_DAAC STAC Catalog 1972-01-01 1992-12-31 -79.6, -20, -49.4, 5.2 https://cmr.earthdata.nasa.gov/search/concepts/C179003397-ORNL_DAAC.umm_json The precipitation data is 0.2 degree gridded monthly precipitation data based upon monthly rain data from Peru and Bolivia and daily rain data from Brazil. The extent of the data ranges from 5.2N and -20.0S to -49.4W to -79.6W proprietary -urn:ogc:def:EOP:VITO:VGT_S10_1 10 Days Synthesis of SPOT VEGETATION Images (VGT-S10) FEDEO STAC Catalog 1998-04-01 2014-05-31 -180, -56, 180, 75 https://cmr.earthdata.nasa.gov/search/concepts/C2207472890-FEDEO.umm_json The VGT-S10 are near-global or continental, 10-daily composite images which are synthesised from the 'best available' observations registered in the course of every 'dekad' by the orbiting earth observation system SPOT-VEGETATION. The products provide data from all spectral bands (SWIR, NIR, RED, BLUE), the NDVI and auxiliary data on image acquisition parameters. The VEGETATION system allows operational and near real-time applications, at global, continental and regional scales, in very broad environmentally and socio-economically critical fields. The VEGETATION instrument is operational since April 1998, first with VGT1, from March 2003 onwards, with VGT2. More information is available on: https://docs.terrascope.be/#/DataProducts/SPOT-VGT/Level3/Level3 proprietary diff --git a/stac_catalogs.json b/stac_catalogs.json index b002384..6c5ee78 100644 --- a/stac_catalogs.json +++ b/stac_catalogs.json @@ -12,6 +12,19 @@ "isApi": false, "accessInfo": null }, + { + "title": "Andytestingstac", + "id": 84, + "url": "http://benthic-habitat-catalog2.s3-website-us-east-1.amazonaws.com/catalog.json", + "slug": "andytestingstac", + "summary": "dev purposes, testing structure and functionality.", + "access": "private", + "created": "2023-09-21T13:14:07.141Z", + "updated": "2023-09-21T13:14:07.141Z", + "isPrivate": true, + "isApi": true, + "accessInfo": "Testing STAC structure before publishing, in development in order to verify functionality and structure. This will be public once all the kinks are worked out." + }, { "title": "Astraea Earth OnDemand", "id": 16, diff --git a/stac_catalogs.tsv b/stac_catalogs.tsv index cb78707..b6516d0 100644 --- a/stac_catalogs.tsv +++ b/stac_catalogs.tsv @@ -1,5 +1,6 @@ title id url slug summary access created updated isPrivate isApi accessInfo ALS Raster Kaernten 2023 70 https://gis.ktn.gv.at/ogd/custom/stac_cat_ktn/STAC_2023/kagis-catalog/catalog.json als-raster-kaernten-2023 Elevation data and ortho photos Spatial temporal catalog test public 2023-03-16T09:15:31.242Z 2023-03-16T09:15:31.242Z False False +Andytestingstac 84 http://benthic-habitat-catalog2.s3-website-us-east-1.amazonaws.com/catalog.json andytestingstac dev purposes, testing structure and functionality. private 2023-09-21T13:14:07.141Z 2023-09-21T13:14:07.141Z True True Testing STAC structure before publishing, in development in order to verify functionality and structure. This will be public once all the kinks are worked out. Astraea Earth OnDemand 16 https://eod-catalog-svc-prod.astraea.earth/ astraea-earth-ondemand Astraea Earth OnDemand geospatial imagery query and analysis tool public 2020-09-02T19:21:50.464Z 2020-09-02T19:21:50.464Z False True CBERS and Amazonia-1 on AWS 8 https://stac.amskepler.com/v100/ cbers Imagery acquired by the China-Brazil Earth Resources (CBERS) and Amazonia-1 satellites. The image files are recorded and processed by INPE and are converted to Cloud Optimized Geotiff format in order to optimize its use for cloud based applications. Daily updated and hosted on AWS. public 2020-08-20T00:00:00.000Z 2023-02-15T11:00:00.000Z False True CREODIAS 68 https://datahub.creodias.eu/stac/ creodias Release post: [https://creodias.eu/forum/-/message_boards/message/291442] protected 2023-02-23T17:49:39.814Z 2023-02-23T17:49:39.814Z True False Some data is 'orderable', but can be requested through a custom API, using an account from https://creodias.eu/