Remote quantification of soil organic carbon

This project aims to develop methods for direct soil organic carbon (SOC) quantification based on satellite data. This will solve a major industry pain-point: A lack of cost-effective, robust and scalable tools to quantify soil organic carbon for agriculture carbon offsetting projects.

For this aim, the project involves a thorough sampling campaign of soil organic carbon for different surface roughness and soil moisture conditions at the University of Surrey’s ground-truthing fields, a hyperspectral imaging flight over the fields, and the calibration of ML/AI models relating spectral features to SOC.