NETRA.AI

NETRA.AI turns raw Earth-observation data into decision-ready climate risk intelligence. It ingests Sentinel-1 SAR, Sentinel-2 optical and Landsat imagery through Google Earth Engine, detects flooding automatically, and scores district-level risk — served through a real-time KPI map dashboard with auto-generated PDF reports.

Flood response in India is largely reactive: district authorities rarely have timely, granular risk intelligence. The satellite data exists, but the geospatial pipeline to convert it into actionable risk scores is heavy, specialist work that few teams can operationalize.

• Multi-source fusion pipeline on Google Earth Engine: Sentinel-1 VV backscatter change detection for water, cross-validated with NDWI from optical imagery.
• False-positive suppression with DEM slope masking — hill-shade and terrain filters remove water-like SAR signatures on slopes.
• Bayesian risk scoring that fuses flood detections with WorldPop population exposure and CHIRPS rainfall trends, producing a district-level composite score.
• Next.js + MongoDB platform exposing 15+ REST endpoints, a real-time KPI map dashboard, and one-click PDF risk reports for field use.

• End-to-end automation: imagery in → scored district risk out, with no manual GIS steps.
• Detection layer cross-validated across SAR and optical sources to stay robust in cloud cover.
• Real-time dashboard plus portable PDF reports so insights survive low-connectivity field conditions.