Cities routinely run 5–10 °C hotter than their rural fringes, and that gap widens every decade as concrete and asphalt replace vegetation. National meteorological networks were never designed to resolve heat at the neighbourhood scale; a single weather station covers tens of square kilometres and misses the street-canyon dynamics that determine whether a resident lives or dies during a three-day extreme heat event. Without spatially granular, temporally consistent temperature data, urban planners are flying blind.
A thermal-infrared nanosatellite constellation changes that equation directly. Multiple passes per day yield Land Surface Temperature (LST) maps at 30–100 m resolution across every city simultaneously, capturing the diurnal cycle that a single mid-morning Landsat overpass never could. Fused with shortwave-infrared bands, the same payload resolves impervious surface fraction, albedo and vegetation index — the three physical drivers of island intensity — in one data product. Commercial vendors supply some of this, but national coverage, sub-daily cadence and guaranteed data continuity are simply not available off-the-shelf from any single provider.
The operational output is a living thermal atlas updated several times daily: ward-level heat intensity rankings, anomaly alerts when a district crosses a threshold the public health authority has pre-defined, and multi-year trend layers that feed infrastructure investment decisions. Downstream applications — heat health risk forecasting, cooling infrastructure planning, vulnerable population targeting — all inherit this map as their authoritative base layer, which is why getting it right at the sovereign level matters so much.