Exposing Greenwashing: Satellite ML for Carbon Credit Verification

Neeraj Pandey

The carbon market is set to reach 1T dollars by 2030, yet 84% of offsets fail to deliver real climate benefits. Verification still relies on sparse site visits and self-reported data. This poster shows a Python workflow that audits carbon projects using satellite imagery and ML, detecting over-crediting and leakage in REDD+ sites. With open data and open-source tools, anyone can compare claimed versus observed forest outcomes and verify what projects actually deliver.