Cities are getting hotter faster than the countryside, and the data gap is killing people. Ground weather stations are too sparse to capture the block-by-block temperature swings that determine whether a neighbourhood reaches lethal heat thresholds during a heatwave. Hospitals fill up, power grids spike, and municipal planners make mitigation decisions based on interpolated guesswork rather than measured reality.
Thermal infrared payloads aboard a dedicated satellite constellation measure land surface temperature (LST) directly, producing city-wide rasters at 30–90m resolution on every overpass. Fusing multi-temporal LST data with land-use, building-footprint and demographic layers reveals where the urban heat island is worst, which surfaces are the primary radiators, and how interventions—green roofs, street trees, cool pavements—are actually performing. No commercial service provides tasked, high-cadence LST at the city scale with the temporal consistency a national programme demands.
A sovereign constellation gives planners and public-health agencies a live thermal baseline they control entirely. When a heatwave warning is issued, the system can be tasked to overpass the city every 90 minutes rather than waiting for a vendor's scheduled revisit. Long-run archives, built under consistent calibration, support climate adaptation reporting, infrastructure siting decisions, and legal accountability frameworks—none of which are credible when the data sits on a third-party cloud behind a commercial licence.