GAF Earth Observation Suite

The GAF Earth Observation Suite bundles GAF AG's satellite-based geoinformation services for infrastructure stability, land monitoring and environmental analysis. GAF AG, founded in 1985 and headquartered in Munich (with a branch in Neustrelitz), is an independent Earth observation data distributor and value-adding service provider that has completed more than 1,000 projects in over 100 countries. It is part of the Telespazio Group via e-GEOS, following Telespazio's acquisition of GAF shares in 2003. The suite's flagship capability is a SAR interferometry Ground Motion Service that detects millimetre-scale deformation affecting railways, bridges, tunnels, aquifers and gas-storage sites. GAF processes radar from Sentinel-1, TerraSAR-X, TanDEM-X, PAZ and COSMO-SkyMed in an industrial production environment, and contributes to the EU Copernicus European Ground Motion Service (EGMS), the Ground Motion Service Germany (BBD) and EO4Infrastructures for railway operator DB Netze. Complementary offerings include the GAF Elevation Suite (digital elevation/surface models and 3D models from very-high-resolution optical imagery) plus broad EO data distribution, land-cover/land-use mapping and AI-driven geoanalytics.

• SAR interferometry ground motion: PSI and DSI processing of Sentinel-1, TerraSAR-X, TanDEM-X, PAZ and COSMO-SkyMed to monitor deformation of railways, bridges, tunnels and other infrastructure.
• Operational ground motion programmes: Implementation, operation and production for Copernicus EGMS, Ground Motion Service Germany (BBD) and EO4Infrastructures (DB Netze).
• Elevation and 3D modelling: GAF Elevation Suite delivering DEM/DSM and 3D models from very-high-resolution optical satellite imagery for areas worldwide.
• EO data distribution: Independent reseller of satellite imagery, elevation data and land-cover products under contracts with major civilian EO providers.
• Land monitoring and mapping: Land-use/land-cover mapping, change detection and environmental, agriculture, forestry and water monitoring.
• AI-driven geoanalytics: Deep-learning and analytics on cloud/Kubernetes infrastructure for predictive geospatial models, plus GIS and SDI software development.