AI-powered landslide prediction and early-warning using multi-sensor satellite data
SOILRISK is a high-resolution landslide prediction service developed by Eyecon Group (Portugal) as an ESA Kick-start Activity. It fuses Sentinel-1 SAR data for terrain deformation and soil-moisture measurement with Sentinel-2 multispectral data for vegetation index, together with 20+ conditioning factors — including lithology, land cover, wind speed, precipitation and subsidence — into a proprietary machine-learning early-warning algorithm. The result is a 5 m spatial-resolution susceptibility forecast delivered through a 3D web-based GIS and a REST API. Users receive configurable area-of-interest alerts ahead of predicted events. Target customers include civil protection bodies, municipalities, and infrastructure managers responsible for highways, railroads, power stations and dams. Proven in the Azores region and available globally on a pay-per-use or subscription basis.
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Charges based on actual usage or consumption.
Subscription
Recurring fees for ongoing access and support.
Space data in
Processing
Insight Generation
Eyecon Group
Develops remote-sensing applications that combine satellite imagery, IoT data and machine-learning to deliver predictive models and early-warning tools for landslides, floods and marine hazards.
2017
Founded
177
Country
Converts analysis into context-rich, actionable insights.
Delivered as
Alerting & Decision Support
Automates notifications and tools to highlight key insights.
