Skip to content

How can we get an accurate estimate of carbon stocks across a landscape with minimal ground truth data?

Notifications You must be signed in to change notification settings

igorkf/soil-carbon-stocks

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

72 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

soil-carbon-stocks

Reproducing

Firstly, clone or download the repository. Now run all the following scripts, in order:

  1. Sample points for each county:
src/01-sample-points.R
  1. Download SSURGO variables (bulk density, SOC, etc.):
src/02-download-ssurgo.R
  1. Download top daily 9 km resolution Volumetric Water Content (VWC) raster files from Crop-CASMA:
src/03-download-vwc.R
  1. Preprocess VWC data:
src/04-preprocess-vwc.R
  1. Download daily precipitation data from NASA POWER:
src/05-download-precipitation.R
  1. Download evapotranspiration data from GEE:
src/06-download-evapotranspiration.R

Disclaimer: This part needs a lot of additional dependencies (python, rgee, etc.). Follow the instructions contained on the script to setup everything you need.

  1. Merge all data:
src/07-merge-data.R
  1. Run a linear mixed model:
src/08-model.R

Tested on:

  • Windows 10
  • Ubuntu 22

About

How can we get an accurate estimate of carbon stocks across a landscape with minimal ground truth data?

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages