Satellite InSAR deformation monitoring with AI-powered early warnings for infrastructure and ground movement

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EyeRADAR is a fully online web platform developed by Detektia that transforms Interferometric SAR (InSAR/DInSAR) satellite data into millimeter-precision deformation metrics and early warnings for infrastructure and ground movement. Its machine-learning layer automatically detects when, where, and how intensely unexpected deformation is occurring across dams, tunnels, embankments, ports, and buildings. The platform fuses satellite radar measurements with complementary data sources — rainfall, geology, elevation models, historical landslide inventories, GNSS, inclinometers, piezometers, and accelerometers — to produce both static landslide susceptibility maps and dynamic predictive maps that can forecast landslide risk several days in advance. An API enables integration with GIS, BIM, and Digital Twin environments; a QGIS plugin supports 3D deformation analysis with LiDAR; and an Android mobile app provides field access to alerts and time-series data. No on-site installation or ground instrumentation is required — only an internet connection and web browser — making EyeRADAR a cost-effective solution for continuous, large-area infrastructure health monitoring and long-term asset planning.
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System Integration
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Detektia
Detektia is a Madrid-based spin-off of the Topography and Geomatics Laboratory at the Universidad Politécnica de Madrid's civil engineering school. It combines satellite radar interferometry (InSAR) with artificial intelligence to measure ground and infrastructure movement with millimetre accuracy and to issue early warnings across an asset's lifecycle, without ground instrumentation. Its EyeRADAR web platform, API and Android app serve managers of dams, ports, embankments, tunnels and buildings, and support monitoring of landslides, sinkholes and groundwater-driven subsidence.
2019
Dibināts
Spānija
Valsts
Embeds data and insights into existing systems and workflows.