
An AI-native platform that uses satellite and UAV data to generate landslide susceptibility maps and real-time risk models for disaster-prone regions.
Terralux is a geospatial AI platform designed for scalable and precise landslide susceptibility assessment. It integrates Sentinel-2 imagery, DEMs, and inventory datasets to train explainable AI models for terrain segmentation, feature extraction, and risk prediction. The platform supports various execution modes—from data acquisition to model training and prediction—using a fully automated backend pipeline hosted on AWS. Outputs include risk maps, feature tables, and downloadable layers, ready for integration into national disaster monitoring systems. Terralux has been developed as part of the IndiaAI initiative by MeitY.
Key Differentiators
- Fully automated end-to-end pipeline for landslide susceptibility mapping
- Executes multi-resolution terrain segmentation and spatial feature extraction
- Uses NDVI, NDWI, slope, curvature, and elevation-based features
- Aligned with IndiaAI’s vision for disaster resilience
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