Evaluation of urban greening for heat mitigation in Lausanne
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Updated
Jun 28, 2022 - Jupyter Notebook
Evaluation of urban greening for heat mitigation in Lausanne
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.
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.
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