When a major earthquake strikes, civil protection authorities face an immediate and brutal information problem: they do not know where the damage is. Ground teams are slow, road networks are broken, and the affected zone can span thousands of square kilometres. Commercial remote-sensing services can provide imagery, but access is negotiated after the event, data licensing restricts redistribution to partner agencies, and tasking priority goes to the vendor's most lucrative customers first — not necessarily to your disaster zone.
Synthetic Aperture Radar is the workhorse technology here. SAR penetrates cloud cover, works at night, and — critically — produces coherence-change products that are far more sensitive to building collapse than optical imagery alone. A SAR constellation coherences the pre-event scene against a post-event pass acquired within hours of the quake. Pixels where structural coherence has collapsed flag probable damage; the product is a probabilistic Damage Proxy Map (DPM) gridded at 10–30 m resolution, colour-coded by damage likelihood and delivered as a GeoTIFF or vector overlay. Secondary passes over the following 48 hours refine the estimate and track aftershock-driven secondary collapses.
A sovereign constellation removes every chokepoint. Tasking is issued the moment seismic sensors trigger an alert — no commercial negotiation, no export-control review, no embargo risk. The DPM is on the civil protection fusion centre screen within four hours of the event. Search-and-rescue teams are directed to the highest-probability collapse zones first. Independent modelling by NASA JPL's ARIA team after the 2023 Türkiye earthquake showed DPMs correctly flagged 91 % of subsequently confirmed heavily damaged districts within the first product delivery; that figure becomes operationally actionable only if the map arrives before teams deploy, not hours after.