12.1.2 — Insurance Intelligence — maturity: live

Pre-Loss Risk Assessment

Continuously monitoring insured assets — farms, industrial sites, coastal infrastructure — from orbit to quantify exposure before a loss event occurs.

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Insurance underwriters price risk from static surveys, desktop models and occasional site visits. That data is stale within months: a warehouse roof deteriorates, a floodplain is encroached, a coastal port silts up. Satellite imagery, SAR coherence change-detection and multispectral vegetation indices replace that guesswork with a living record of asset condition updated on a weekly or sub-weekly cadence, giving underwriters an objective, time-stamped basis for premium setting and exposure limits.

The satellite stack layers three data types: optical and multispectral imagery for structural and land-use condition; SAR backscatter and interferometric coherence for subsidence, settlement and moisture infiltration; and thermal infrared for heat-stress signatures on crops and rooftop anomalies on industrial plant. Together they yield a risk score per insured polygon that is refreshed automatically, flagging material changes between renewal cycles without requiring a single boots-on-the-ground survey.

The operational outcome is a fundamentally better underwriting book. Policies are priced against current reality, not a survey photograph from three years ago. Claims fraud is harder to sustain when orbital records show pre-existing damage. Reinsurers gain confidence in ceded portfolios because the cedant can demonstrate continuous monitoring. And the national insurer that owns this feed cannot be cut off, throttled or price-gouged by a foreign data vendor the week before a major renewal cycle.

What matters

A change in roof structure, land-use encroachment or vegetation stress visible from orbit months before a loss event is a direct pricing signal that ground surveys routinely miss.
SAR coherence change-detection can identify building subsidence to centimetre scale, a lead indicator for structural collapse claims that no actuarial table captures.
Sovereign insurers and state reinsurers holding national infrastructure portfolios face a conflict of interest when pre-loss imagery is controlled by a commercial vendor also serving rival underwriters.
IAIS Insurance Core Principle 16 requires insurers to maintain adequate technical provisions; persistent satellite monitoring provides the auditable, time-stamped evidence base regulators increasingly expect.

Sovereignty score: 8/10 — A nation whose insurers and state reinsurers depend on foreign satellite data vendors for pre-loss risk intelligence surrenders pricing power, audit independence and continuity of cover for its own critical infrastructure.

Commercial imagery vendors serving multiple insurers in the same market create a structural conflict: a competitor underwriter accessing the same feed gains equivalent pricing intelligence, eliminating any sovereign insurer's informational edge on national asset portfolios.
Export controls and vendor licence terms can restrict delivery of high-resolution SAR or optical data over sensitive sites — military bases, nuclear facilities, strategic ports — leaving state insurers unable to underwrite the very assets they are mandated to cover.
A foreign-operated data pipeline introduces a geopolitical choke point: sanctions, vendor insolvency or commercial re-pricing can suspend the data feed immediately before a major renewal cycle or catastrophe season, precisely when exposure intelligence is most critical.
National financial regulators are moving toward mandating auditability of underwriting data provenance; a sovereign constellation provides an unbroken, sovereign-controlled chain of custody that third-party commercial feeds cannot guarantee.

Reference architecture

Payload: Dual-payload per satellite: (1) multispectral optical imager, 5 bands (Blue/Green/Red/NIR/SWIR), 3m GSD, 20km swath; (2) thermal infrared channel, 60m GSD, for industrial heat-anomaly and crop heat-stress detection. A subset of 6 satellites in the constellation carry a compact X-band SAR module, 5m stripmap resolution, 30km swath, for SAR coherence change-detection on structural assets.
Bus class: 12U cubesat, ~24kg, 80W payload power for the optical-thermal variant; 80kg ESPA-class microsat, 350W, for the SAR-carrying nodes.
Orbit: Sun-synchronous LEO at 520–560km; 18-satellite walker constellation (12 optical-thermal + 6 SAR), achieving 3–4 day full-coverage revisit globally and sub-2-day revisit over the national territory of interest.
Ground segment: 2-station national network (X-band downlink, S-band TT&C) co-located with the national meteorological authority and a secondary insurance regulatory data centre; SatNOGS nodes on UHF/2.4GHz as housekeeping backup.
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References

IAIS Insurance Core Principles — ICP 16: Enterprise Risk Management — ICP 16 requires insurers to implement enterprise risk management frameworks with adequate provisioning supported by robust data. Regulators are beginning to accept satellite-derived asset condition data as part of that evidence base.
ESA — Earth Observation for Insurance Applications — ESA documents operational use of Sentinel-1 SAR and Sentinel-2 multispectral imagery for underwriting risk assessment, including structural change monitoring and agricultural exposure quantification.
UNEP Finance Initiative — Principles for Sustainable Insurance: Nature-Related Risk — UNEP FI's PSI framework identifies geospatial and satellite data as a key tool for insurers to assess and disclose physical climate and nature-related exposure in underwritten portfolios.
World Bank — Disaster Risk Financing and Insurance Program — The World Bank DRFIP explicitly links pre-event risk quantification to fiscally sustainable insurance schemes, noting that satellite-derived exposure data improves sovereign and sub-sovereign risk transfer pricing.
Planet Labs — Monitoring Change at Scale — Planet's daily optical constellation is commercially used for asset monitoring across agricultural and industrial portfolios, demonstrating operational viability of sub-weekly revisit for underwriting workflows.