Geospatial AI for Land Use

Machine learning models extracting patterns from satellite and parcel data for zoning intelligence.

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AI systems that fuse satellite imagery, cadastral maps, and socio-economic indicators to detect informal development, underutilized parcels, and climate-vulnerable zones. They support evidence-based zoning reforms, densification strategies, and targeted resilience investments across growing metropolitan regions.

TRL

3/9Conceptual

Impact

4/5

Investment

3/5