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.
Frequently asked
What exactly is a damage proxy map and how is it different from an optical damage assessment?
A damage proxy map (DPM) is generated by comparing two SAR images of the same area taken before and after an earthquake. Where ground surface or structural coherence has changed significantly, the algorithm flags likely damage. Unlike optical imagery, SAR works at night and through cloud cover, making it far more reliable in the chaotic hours immediately after a major seismic event. Optical assessments remain valuable for confirmatory detail but typically arrive later.
How quickly can a government realistically expect a usable map after an earthquake?
With a pre-positioned satellite tasking agreement and an automated processing pipeline, first-pass DPMs can be delivered in 6–12 hours of the seismic event for most inhabited regions. Copernicus EMS achieved this window in the February 2023 Türkiye–Syria earthquake. Sovereign constellations with pre-loaded tasking rules can reduce this to under 4 hours by eliminating commercial queue prioritisation delays.
Why should a government own SAR satellites rather than simply purchasing data from ICEYE, Capella or Planet?
Commercial vendors serve multiple clients and cannot guarantee priority tasking to any single nation during a catastrophic event that may be affecting several countries simultaneously. A sovereign or jointly-owned constellation can be pre-programmed with automatic disaster-triggered tasking, with data flowing directly to national civil protection authorities without passing through a foreign commercial ground segment. This also eliminates foreign regulatory dependencies on data export licences.
How many satellites are needed to achieve meaningful revisit over a seismically active country?
Modelling by ESA and academic studies suggest that a 6-to-12 microsatellite SAR constellation in a 550–600 km sun-synchronous LEO orbit can deliver sub-4-hour revisit over most mid-latitude seismic zones. Smaller nations or regional cooperation agreements (e.g. ASEAN, African Union) could share a constellation of this scale at substantially reduced per-country cost.
Can damage proxy maps be used for insurance claims and reconstruction finance, or just emergency response?
Increasingly, yes. The World Bank's DRFI programme and several parametric insurance structures have begun accepting satellite-derived damage assessments as trigger evidence. ISO 19115 metadata standards and OGC-compliant data products are central to making DPMs legally and financially credible. A sovereign operator controlling its own metadata chain strengthens the evidentiary standing of the data domestically.
What is the difference between a damage proxy map and an InSAR surface deformation product?
A damage proxy map identifies where structural or surface change has occurred, typically using SAR amplitude or coherence change, and is optimised for speed and spatial extent. InSAR (Interferometric SAR) precisely measures the magnitude and direction of ground displacement in centimetres or millimetres and is more computationally intensive. The two products are complementary: DPMs guide rescuers, while InSAR feeds fault-rupture and aftershock models for engineers.
Do damage proxy maps work equally well in rural areas as in dense urban settings?
Urban areas with high building density produce strong SAR backscatter and very clear coherence loss signals, making DPMs highly effective. Rural areas, especially those with low-density mud-brick or timber construction, produce weaker signals and higher false-negative rates. Very high resolution (sub-1-metre) SAR can partially compensate, but some rural damage in lower-income countries remains systematically under-detected—a known equity gap in current operational systems.
What ground infrastructure does a sovereign SAR constellation require?
At minimum, a nation needs one or more X-band or C-band ground stations for data downlink, a processing facility capable of running SAR focusing and change-detection pipelines (which can be cloud-hosted within national jurisdiction), and a trained team for product validation and dissemination. Several nations have built this on open-source toolchains such as ESA's SNAP and the NASA-JPL ARIA framework, substantially reducing sovereign entry cost.