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India Is Using AI and Satellites to Map Urban Heat Vulnerability Down to the Building Level
Remote-sensing data and artificial intelligence are mapping the most heat-vulnerable buildings in cities like Delhi, in an effort to target relief from extreme temperatures at a granular level.
This has driven nonprofits and research organizations to show how HAPs can be improved—with one key idea being to use geographic information systems(GIS) that combine satellite imagery with local data to provide cities with a granular, building-by-building views of their heat. To understand just how local heat stress can be, Krishna and her team at the nonprofit Ashoka Trust for Research in Ecology and the Environment (ATREE) conducted a study in a ward in north Bengaluru of just two square kilometers. Instead of generic advisories like “drink more water,” localized data could drive specific actions: change market or factory hours, deploy cost-effective heat shelters, or set up oral rehydration solution stations in high-footfall areas.
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