Subsidence Watch

Geospatial monitoring detects urban ground movement early, enabling insurers to map risk, adjust underwriting and reduce claim exposure proactively.

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How does it work?

Unanticipated urban subsidence can cause significant property damage, leading to high insurance claims and financial exposure. Remote geospatial analytics provide early detection of ground movement, enabling insurers to assess risk accurately, optimize underwriting, and lower claim costs.

Early Detection: High-resolution InSAR detects millimeter-level ground movement before visible damage occurs. This early warning allows insurers to act on emerging risks and prevent costly claims.
Precise Risk Mapping: Detailed subsidence maps identify hotspots at property and neighborhood scales. Insurers can segment portfolios and set premiums based on localized risk assessments.
Underwriting Optimization: Integrating subsidence data refines risk models and informs dynamic pricing strategies. This leads to more accurate premium setting and balanced risk portfolios.
Claims Reduction: Proactive monitoring helps distinguish genuine claims from false or fraudulent ones. Early alerts reduce the volume of unexpected payouts and improve loss ratios.
Automated Alerts: Continuous data processing triggers notifications when subsidence thresholds are exceeded. Underwriting and claims teams receive real-time insights to prioritize investigations.
Historical Trend Analysis: Time-series analysis reveals long-term ground movement patterns and seasonal variations. Insurers leverage these insights for reserve estimation and strategic planning.

Frequently asked questions

Have a different question and can’t find the answer you’re looking for? Reach out to our support team by sending us an email and we’ll get back to you as soon as we can.

How does satellite-based monitoring compare to ground surveys?: Satellite InSAR provides broader coverage and more frequent updates than traditional ground surveys. While ground measurements can be more precise at single points, satellite data scales across entire urban areas cost-effectively.
Why is subsidence monitoring popular among insurers?: Insurers value it for early risk identification and reduced claim volatility. Its popularity stems from measurable cost savings and improved underwriting accuracy.
What are the limitations of InSAR in dense urban areas?: Urban canyons and vegetation can cause signal decorrelation and reduce measurement quality. Combining InSAR with complementary data sources can mitigate these limitations.
Can lidar surveys serve as an alternative to satellite data?: Lidar offers high-resolution elevation models but is more expensive and less frequent than satellite monitoring. Satellite data enables continuous updates without extensive ground operations.
How does the cost of this monitoring compare to traditional methods?: Satellite-based analytics typically reduce monitoring costs by up to 60% compared to manual surveys. They also eliminate the need for on-site equipment and personnel deployment.
Are there integration limitations with existing insurance systems?: The platform offers APIs and GIS-compatible outputs for seamless integration. Minimal IT adjustments are required, though legacy systems may need minor configuration updates.

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