Climate Trace: Air pollution map (climatetrace.org)

🤖 AI Summary
Climate TRACE has published an interactive air-pollution map for the Mumbai Urban Area that overlays facility-level sources of climate pollution with local air-quality impacts. The map (built on Mapbox/OpenStreetMap) invites users to search locations and inspect individual facilities, highlighting the link that “facilities that create climate pollution also release harmful air pollution.” It’s presented as a public, exploratory tool to visualize where emissions originate in a dense urban-industrial landscape. For the AI/ML and environmental-tech community this matters because it operationalizes granular source attribution — turning remote sensing, inventory data and algorithmic inference into actionable, location-specific insights. Such maps typically combine satellite observations, facility registries and machine learning to estimate emissions at the plant level, enabling targeted mitigation, regulatory oversight, and exposure studies linking greenhouse gases to co-emitted pollutants that affect health. By making facility-level pollution transparent and searchable, the tool accelerates data-driven policymaking, community advocacy, and research workflows while illustrating how satellite+ML systems can scale urban air-pollution monitoring.
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