SERVIR-Amazonia Brings Data To The Ground For Better Decision-Making In The Amazon

Machine Learning in CoMiMo

SIG co-developed software to remotely monitor gold mining activity in Colombia. Illegal mining is a driver of deforestation and this project aims to empower authorities to respond quickly and appropriately. CoMiMo, which is available for desktop in both English and Spanish, uses satellite imagery and artificial intelligence to identify threatened areas.

Mapping Forest Degradation In Nepal With Remote Sensing

Machine Learning in CoMiMo

SIG co-developed software to remotely monitor gold mining activity in Colombia. Illegal mining is a driver of deforestation and this project aims to empower authorities to respond quickly and appropriately. CoMiMo, which is available for desktop in both English and Spanish, uses satellite imagery and artificial intelligence to identify threatened areas.

Synthetic Aperture Radar Forest Disturbance Alert System

SARFDAS Synthetic Aperture Radar Forest Disturbance Alert System

The Synthetic Aperture Radar Forest Disturbance Alert System (SARFDAS) is a powerful tool for detecting forest disturbances, integrating state-of-the-art technologies, automation, and human-based verification in a clean web interface for more timely and accurate decision-making and field response. SARFDAS leverages Synthetic Aperture Radar from the European Space Agency to identify forest disturbances even under inclement conditions when multispectral satellite imagery is patchy.