Geospatial Property Risk

Geospatial data has moved from specialized tool to mainstream underwriting input in property insurance.

High-resolution aerial imagery, LiDAR-derived property measurements, and satellite-based vegetation and flood mapping are giving underwriters a level of property visibility that previously required physical inspection. For personal lines and smaller commercial properties, that shift significantly reduces inspection costs while improving data quality.

Catastrophe exposure management benefits enormously from geospatial capabilities. Parcel-level location data, combined with peril-specific hazard scoring, allows carriers to assess their accumulation down to a granularity that portfolio-level ZIP code analysis cannot match.

Change detection -- using repeated aerial or satellite imagery to identify property condition changes between policy periods -- is an emerging application. Carriers that can identify deteriorating roof conditions, new construction, or significant property modifications between renewals are reducing coverage adequacy gaps and adverse selection risk.

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