Geological Hazards Theme Services

This service, developed by Geoapp, uses EO data (Copernicus Sentinel-1 InSAR and Sentinel-2) and user-provided inputs to generate a landslide susceptibility map and a landslide potential hazard map as raster and vector GIS layers.

Users define an Area of Interest (AOI) and supply a catalogue of past landslide events, a geology map, and a lithology map. The system retrieves a Digital Terrain Model (DTM) and generates a Copernicus Sentinel-2-based NDVI layer. It applies a Random Forest machine learning algorithm trained on a subset of the data, with the remainder used for validation. When InSAR data (in CSV format) is available, slope-unit-based processing is performed to assess landslide potential hazard based on activity state per unit.

Outputs include a pixel-based susceptibility map and a slope-unit-based vector dataset which estimates susceptibility and potential hazard. The raster resolution typically aligns with the DTM (20 metres). The service is open source, executed on-demand, and improves mitigation, planning, and preparedness for landslide occurrences.

Inputs include landslide inventories, geology maps, Sentinel-2 NDVI, optional lithology, river/road networks, InSAR thresholds, and Sentinel-1 displacement data. Outputs are susceptibility and potential hazard maps. Third-party input includes Copernicus DEM.

It provides average ground displacement rates and uncertainty estimates by aggregating multiple differential interferograms.

Users select Copernicus Sentinel-1 SLC acquisitions, an AOI, a time period, and desired processing parameters. The service executes two main steps: first, DInSAR (Differential SAR Interferometry) processing including co-registration and phase unwrapping; and second, calculation of average motion rates and uncertainties in millimetres per year, with outputs terrain-geocoded.

Spatial resolution ranges from 20 to 150 metres, depending on user configuration. The service is open source, executed on-demand, and suited for wide-area ground deformation monitoring under any environmental conditions. Outputs include average motion rates, uncertainty maps, and multi-temporal coherence maps in GeoTIFF format.

The PSI method extracts displacement signals from stable reflectors over time, providing time series data at high spatial resolution.

The process is split into two steps: first, generating an interferometric stack (IFG mode); second, performing time series analysis (PSI mode). This structure allows for storage of intermediate results and future updates with minimal processing cost.

Users select an AOI, input Sentinel-1 SLC images, and optionally adjust settings such as atmospheric correction or seasonal exclusions. Outputs include CSV point-wise data with velocity and time series, ESRI shapefiles, metadata, and standalone HTML visualisation. The service is licensed for integration into the CopernicusLAC Data Centre. It is open access and executed on-demand.

Minimal user input is needed: only a local reference area must be defined. For IS data, the outputs are raster maps of vertical and E-W rates and their uncertainties. For PSI data, decomposed motion rates and time series are provided as CSVs for gridded points.

The service is open source and executed on-demand. It supports clearer analysis of deformation patterns by converting complex LoS data into intuitive displacement directions.