SkyGeo technical paper on IoT-based geotechnical monitoring boosted by Satellite InSAR data, set against a mountainous landscape and access road.

Internet-of-Things-Based Geotechnical Monitoring Boosted by Satellite InSAR Data

Technical Paper

This paper reports on a cost-effective commercial method for operational ground motion monitoring that combines a network of geotechnical surface sensors with satellite Interferometric Synthetic Aperture Radar (InSAR) data.

 

  • Learn how a commercial, cost-effective method combines IoT-based geotechnical sensors and satellite InSAR data to accurately monitor surface displacement.

  • Understand the complementarity of InSAR for long-term, large-scale precursor detection and IoT sensors for real-time, localized monitoring of consequences.

  • Discover how in-situ sensor data, such as those from tiltmeters, can be used to refine and optimize the satellite InSAR data analysis.

  • See a practical demonstration at Gediminas Castle where the combined system detected both gradual displacement precursors and sudden slope failure events in real time.

  • Grasp that combining these techniques provides "connected operational intelligence," confirming long-term drifts and sudden movements, and assessing the direct threat to monitored infrastructure.

Frequently Asked Questions

  • Geotechnical engineers and asset owners who use, or are planning, sensor networks on slopes and structures and want wider coverage.

  • A cost-effective way to monitor ground movement by combining IoT geotechnical sensors with satellite InSAR.

  • InSAR picks up slow, long-term warning signs across a large area. Sensors give real-time readings at specific points. Data from tiltmeters and similar sensors can also be used to fine-tune the InSAR analysis.