What physical hazards can satellites actually score, and which still need ground sensors?

Satellites directly observe and score riverine and coastal flood extent (SAR, optical), wildfire burn area and intensity (thermal infrared, SWIR), drought and vegetation stress (NDVI, NDWI), sea-level-rise exposure (DEM/LiDAR-derived), and land subsidence (InSAR). Wind speed, storm surge height, and heatwave intensity at asset level still depend heavily on ground station networks and numerical weather models; satellites provide the spatial envelope rather than the point-precise intensity.

How does sovereign ownership of the satellite constellation change the quality of climate risk scores?

A government-owned constellation can be tasked on demand — prioritising repeat passes over critical national infrastructure, disaster-prone river basins, or coastal economic zones without competing against commercial customer queues. It also eliminates licensing restrictions that commercial vendors impose on derived-product redistribution, meaning the risk scores can be shared freely with national banks, insurers, and local governments. Continuity of data is also guaranteed regardless of vendor financial health or geopolitical sanctions.

Are satellite-derived risk scores accepted by financial regulators for TCFD or IFRS S2 disclosures?

Yes, with caveats. IFRS S2 and the TCFD recommendations both accept satellite-derived physical risk data as a valid input to scenario analysis, provided the methodology is documented, reproducible, and uncertainty-bounded. Regulators in the EU (under CSRD) and the UK expect companies to cite data provenance; a sovereign national satellite program gives issuers within that jurisdiction a single, auditable source of record. Cross-border disclosures still require alignment with jurisdiction-specific technical screening criteria.

What spatial resolution is needed for asset-level scoring versus portfolio-level screening?

Portfolio-level screening — ranking broad geographic exposures across thousands of assets — typically works adequately with 10–30 m resolution data (Sentinel-2, Landsat-9). Asset-level scoring for a specific building, substation, or bridge requires sub-3 m optical or sub-1 m SAR to distinguish individual structures. Sovereign constellations should therefore include at least a high-resolution tier (microsatellite with 1–3 m optical or SAR) alongside a medium-resolution wide-swath tier for daily area coverage.

How often do physical climate risk scores need to be updated?

Baseline hazard maps (flood zones, wildfire risk belts) should be recalibrated at minimum annually as land use, vegetation cover, and observed sea levels change. After a major hazard event, affected asset scores should be updated within 72 hours using emergency satellite tasking. Long-run scenario scores (2030, 2050, 2100 horizons) are typically refreshed in line with IPCC assessment cycles or when new SSP/RCP pathway data becomes available from WMO.

What is the difference between a physical climate risk score and a catastrophe model output?

Catastrophe (cat) models — used by re/insurers — are probabilistic exceedance-frequency models trained primarily on historical loss data and validated against actuarial experience. Physical climate risk scores derived from satellite data are observation-driven, forward-looking, and asset-specific; they capture current and projected hazard exposure without requiring historical loss records. The two approaches are complementary: satellite scores improve the hazard module of cat models, especially in data-sparse regions.

Can a nation reuse the same satellite constellation for physical risk scoring AND disaster response?

Absolutely — this is one of the strongest arguments for sovereign ownership. The same SAR or optical constellation that runs nightly flood-extent mapping for risk scoring can be retasked within minutes to crisis mode during a hurricane or earthquake, feeding the Copernicus EMS-equivalent national system. Shared infrastructure across the risk intelligence and emergency management use cases dramatically improves the return on investment and justifies the capital expenditure.

How do smallsat constellations compare to large GEO meteorological satellites for climate risk scoring?

GEO meteorological satellites (e.g. EUMETSAT's Meteosat, NOAA's GOES) provide continuous full-disk imagery ideal for tracking storm systems and land surface temperature at continental scale, but their spatial resolution (2–4 km thermal, 500 m visible) is too coarse for asset-level scoring. LEO smallsat constellations — operating at 400–600 km altitude — achieve sub-5 m resolution with increasing revisit frequency as constellation size grows. A sovereign program should treat GEO weather data as a free input layer and invest sovereign capital in the LEO high-resolution tier that commercial and civil GEO systems cannot replicate at asset scale.

5.9.1Live

Physical Climate Risk Scoring

Family standing outside a flood-damaged brick house in a rural Bangladesh village — People standing near a house gain protection as satellite-derived climate risk scores help communities prepare for physical hazards.

Satellite Data to Physical Climate Risk Score

1
Observation
SAR, thermal, optical sensors capture hazard signals
2
Downlink
Raw imagery relayed to ground receiving stations
3
Risk Analytics
AI fuses flood, heat, drought exposure into scores
4
Risk Owner
Insurers, lenders, planners receive asset-level scores

Satellites continuously observe climate hazards, feeding AI models that deliver standardised physical risk scores to financial and planning decision-makers.

Page in the build queue

This application has its place in the atlas. The full page — short and long descriptions, what-matters bullets, sovereignty rationale, and the eight-field architecture block — is being written next.

Maturity reading: Operational systems exist with paying customers. Phase 1 built §4.1 (Maritime Intelligence) end-to-end as the depth-and-format reference. Section 4 is the next section to graduate from scaffold to full content; the rest follow on the roadmap.

Related applications

All in climate risk intelligence

5.9.2 · Next

Transition Risk Analytics

Bring this into your sovereign programme.

All solutions Speak with engineering