Case studies
Case study: Spain
Soil organic carbon map index for evaluation
Geographic level
National
Type
Showcase
Purpose
To describe a methodological approach that combines georeferenced soil samples, remote sensing, and ancillary data to produce a soil organic carbon (SOC) map, which will serve as a baseline for evaluating interventions promoted by the Common Soil Policy (CSP).
Challenges faced
Assessing the most suitable algorithm that yields robust SOC estimates
Main objective
To demonstrate how remote sensing data can support the evaluation and redesign of the CSP.
Key collaboration
Research centres and Universities, Evaluators: specific/limited contribution and passive observer
Additional information
Case Study Factsheet: SOCMap: Remote Sensing and Machine Learning for Soil Organic Carbon