ML-CASCADE is an open-source geospatial mapping system developed to enable rapid and reliable landslide extent detection immediately after landslide events.
The platform is designed to address the operational challenges of traditional landslide mapping, which often rely on time-intensive field surveys or manual interpretation of satellite imagery.
The system is capable of mapping both simple and complex landslide clusters within minutes, making it suitable for near-real-time disaster response and post-event assessment. By combining speed, accuracy, and ease of use, ML-CASCADE provides a practical and operational tool for disaster management agencies, researchers, and regional authorities involved in landslide risk management.
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.