The geohazards services support landslide preparedness and hazard assessment by mapping the intrinsic likelihood of slope failure and detecting and monitoring ground deformation. The landslide‑susceptibility service applies machine‑learning methods to Sentinel‑2 NDVI, local geology, and past landslide records to estimate where slope conditions are more likely to permit future failures, providing detailed maps that inform planning and preparedness actions.
In parallel, three InSAR‑based terrain‑motion services measure vertical and horizontal deformation rates and full displacement time series with millimetric precision, offering evidence of active subsidence, uplift, or lateral movements. Integrating susceptibility outputs with InSAR‑derived ground‑motion products produces a landslide hazard layer that identifies zones where predisposition and observed deformation jointly indicate elevated hazard.
Use Case 7: Landslide susceptibility and hazard mapping
Area of application: selected landslide-prone Peru
This use case demonstrates how AI‑enabled geospatial analysis can support landslide preparedness by generating susceptibility maps and, when ground‑motion information is available, refined hazard maps. The Landslide Susceptibility and Hazard Mapping service integrates Sentinel‑2 NDVI, local geological and lithological layers, and inventories of past landslides to train machine‑learning models that estimate the intrinsic predisposition of slopes to fail. When deformation inputs are provided—using either SNAPPING IFG and PSI (Use Case 9) or kinesIS (Use Case 8 and 10) —the service incorporates vertical or horizontal displacement trends to produce a landslide hazard map. These products support disaster prevention, emergency response, infrastructure protection and land‑use planning.
Use Case 8: Precise terrain motion mapping
Area of application: selected areas prone to several geohazards in Panama and Ecuador
This use case demonstrates the detection and monitoring of ground deformation using InSAR, focusing on subsidence, landslides, volcanic unrest and fault‑related motion. The use case applies the services kinesIS and 3D geometric decomposition to derive vertical and horizontal ground‑motion rates. In addition SNAPPING IFG and PSI products are introduced for demonstration purposes. The products support risk assessment in urban and peri‑urban areas affected by natural or anthropogenic instability.
Use Case 9: Medium resolution Terrain deformation
Area of application: Mexico
This use case demonstrates the capabilities of the proprietary service SNAPPING IFG and PSI, providing ground‑motion rates and displacement time series derived from Sentinel‑1. The service supports the identification of subsidence, landslide‑related motion, active faults and other deformation processes in urban and peri‑urban areas. A key component of the use case is capacity building for users to correctly interpret InSAR deformation signals and relate them to relevant geohazards.
Use Case 10: Mass terrain deformation
Area of application: Panama, Ecuador, and additional regions in Central America and Chile
This use case demonstrates the large‑scale production of terrain‑motion information using kinesIS interferometric stacking and 3D geometric decomposition, delivering medium‑resolution deformation maps over extensive areas. These outputs support geohazard assessment by revealing regional patterns of ground displacement relevant for risk analysis and territorial planning.
