AI-ENABLED REMOTE SENSING FOR SMART CITIES COVERING FROM HYPERLOCAL TO THE HYPERSKY
EVIDENCE AND OPPORTUNITIES ACROSS URBAN HEAT ISLAND, CAR PARKS, ENVIRONMENTAL MONITORING AND URBAN RESILIENCE FOR WILDFIRES
DOI:
https://doi.org/10.66838/sauc.6422Resumen
Smart cities need observations that connect regional change with local intervention. Remote sensing can combine satellite coverage, drone detail and hyperlocal sensors (Internet of Things) to improve urban planning. This evidence-based synthesis examines parking, urban heat, wildfire and air-quality applications, separating validated results from commercial specifications and scenarios. European thermal missions and very low Earth orbit (VLEO) initiatives expand opportunities for urban planning. A decision-oriented architecture links these capabilities to governed, quality-qualified services without presenting simulations or provider specifications as field validation. We propose decision-specific validation and adaptive acquisition, identifying VLEO opportunities while distinguishing emerging capabilities from operational services. Value depends on usable coverage, uncertainty and timely urban action.
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