Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Combine NEON vegetation structure to soilDB data #50

Open
MarconiS opened this issue Sep 3, 2020 · 3 comments
Open

Combine NEON vegetation structure to soilDB data #50

MarconiS opened this issue Sep 3, 2020 · 3 comments

Comments

@MarconiS
Copy link

MarconiS commented Sep 3, 2020

WHAT: Link NEON vegetation structure (csv format) to soilDB (csv)
WHY: Collect information about soil type, organic matter, texture, water content and other pedological information for individual NEON field plots with geolocation.
WHERE: SoilDB (https://github.com/ncss-tech/soilDB), NEON vegetation structure (https://data.neonscience.org/data-products/DP1.10098.001)

@MarconiS
Copy link
Author

MarconiS commented Sep 3, 2020

soilDB is a way to interface with a geodatabase I don't know exactly how to access to directly (the GitHub repo is for an R package that uses an API to interface with the USDA database). Some of these data can be directly downloaded in vectorial and raster form at https://gdg.sc.egov.usda.gov/GDGHome_DirectDownLoad.aspx (gSSURGO)

@MarconiS
Copy link
Author

MarconiS commented Sep 3, 2020

let's find out a way to load .gdb in python (possibly avoiding geopandas) and load NEON data from API using python

@MarconiS
Copy link
Author

ok, we made it adding soil database in Postgres. Next step is to provide a few GPS points (e.g. NEON vegetation for 1 site) to get linked to the soil data, and figure it out which soil tables are informative

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant