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heat-mitigation

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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

Code and open dataset for 'Beyond Local Climate Zones: Continuous Morphology Archetypes for Heat Mitigation Across 66 Cities' (Sustainable Cities and Society, 2026). 33,715 harmonised 1 km² patches across 66 cities and 15 Köppen zones.

  • Updated Sep 9, 2026
  • Python

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