Amazon Deforestation Detection and Forest Loss Mapping

Track clearing events and degradation fronts across the Amazon basin in near real time. Klarety agents execute monthly change detection on fused Sentinel-1 SAR and Sentinel-2 optical to flag new clearings by area, identify illegal logging corridors, and classify degradation type. Conservation organizations receive monthly forest loss reports with polygon-level exports.

Forest loss detection for conservation enforcement teams

Klarety AI
Klarety AI chat composer interface

Monthly clearing reports from fused satellite data

Klarety agents fuse Sentinel-1 SAR and Sentinel-2 optical to detect and classify new clearing events with polygon-level reports.

SAR + Optical
Klarety satellite analysis output

All-weather forest loss via SAR-optical fusion

Agents use SAR to detect canopy structure loss through cloud cover and optical to validate clearing extent and degradation type.

GIS Output
Klarety AI map annotation overlay

Forest loss polygons for REDD+ and conservation GIS

Export clearing polygons with area, date, and degradation class for REDD+ monitoring systems and conservation enforcement GIS.

SAR-optical forest loss detection and degradation classification

Klarety agents compute NDVI loss from monthly Sentinel-2 composites and cross-validate with Sentinel-1 SAR backscatter decrease to confirm canopy removal. The SAR layer enables detection through the persistent cloud cover over Amazonia. New clearings are classified as complete clearing, partial degradation, or edge effect using spatial pattern analysis. Output is a monthly GeoJSON with area, date, and degradation class per polygon.

Klarety AIMonitor deforestation in your Amazon region
analysis/amazon_deforestation_detector.pyAgent code
output/amazon_deforestation_report.mdOutput report

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