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

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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Verwerking
Integrated Knowledge

Detektia
Detektia combines satellite InSAR and machine-learning analytics to deliver millimetre-scale ground- and infrastructure-deformation intelligence, offering API-ready data and risk indicators for civil engineering, asset management and environmental applications.
2019
Opgericht
207
Land
Refines insights into integrated, strategic intelligence that aligns with operations, priorities and long-term planning.
Geleverd als
System Integration
Embeds data and insights into existing systems and workflows.