DeepSARFlood is a fully automated flood inundation mapping system developed to support real-time flood monitoring and response using Synthetic Aperture Radar (SAR) satellite data.
The platform addresses the limitations of optical imagery during flood events, such as cloud cover and low-light conditions, by leveraging SAR’s all-weather, day-night imaging capability.
DeepSARFlood is optimized for large-area, rapid processing, enabling flood mapping over thousands of square kilometers within seconds while also providing uncertainty estimates. Designed for operational deployment, the system delivers decision-grade flood intelligence to support emergency response, disaster mitigation, and long-term flood risk planning.
A centralized digital observatory enabling real-time tracking of India’s largest water rejuvenation mission covering 69,000+ ponds with AI-driven detection and monitoring.
India’s first machine learning–based landslide susceptibility map, delivering probabilistic risk estimates at 100 m resolution across the entire country.