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spatial-optimization

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Physics-informed, multi-satellite geospatial AI/ML for urban heat: maps heat-stress hotspots, attributes the drivers, and optimizes cooling interventions with per-site °C reduction. It is powered by Google Earth Engine server-side compute. ISRO Bharatiya Antariksh Hackathon 2026 (PS-1).

  • Updated Jul 6, 2026
  • Python

Geospatial AI/ML platform backed by Physics-Informed Machine Learning (PIML) to map urban heat stress hotspots, quantify thermal drivers (NDVI, Albedo, Building Density), and run scenario-based spatial optimization for urban cooling interventions.

  • Updated Aug 6, 2026
  • JavaScript

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