Remote Sensing Methods for Soil Carbon Accounting

Measuring Soil Organic Carbon and Other Soil Health Indicators at the Field Scale


As innovation continues to drive improvements in soil sampling technologies, methods used to calculate soil organic carbon are constantly changing. New methods to measure soil carbon and other soil health indicators using remote sensing technologies have emerged. Over the next few weeks, the Regen Network science team would like to invite members of the Collabathon community to come discuss their approach to measuring soil organic carbon and collaborate with us to improve measurements and reduce uncertainty.


The goal of this working group is to assess existing methods and develop new methods for measuring soil organic carbon and other soil health indicators using remote sensing technology. The discussion will cover, but is not limited to:

  • Existing methods to measure soil organic carbon and soil health indicators using remote sensing technologies

  • Quantifying uncertainty

  • Automation of geospatial workflows


Remote Sensing of Soil Organic Carbon Methodology

Regen Network's remote sensing approach to quantify soil organic carbon using satellite imagery and minimum ground truth data is featured in our Methodology for GHG and Co-Benefits in Grazing Systems. Our methodology is in it's final stages of development and about to go into it's first peer review process. Download our methods below and dig in! We would to hear your thoughts.


Regen Network has built a series of work packages automating many of the geospatial workflows found within our grasslands methodology. The github repository below contains all of our source code.

  • Resources – Check out the Regen Network resources page to learn more our methodology and how it integrates into our ecosystem services credit modules.

  • Discord – Join Regen Network's Discord server to connect with the science team and let us know how you want to get involved during the Collabathon!