Bridges are vital to national infrastructure, yet their inspection remains resource-intensive. The AutoSatBridge project addresses this challenge by integrating satellite-based Persistent Scatterer Interferometry (PSI), in-situ sensor data, and artificial intelligence (AI) into a unified monitoring framework. Using the A3 motorway bridge in Sinzing, Germany as a pilot site, the project combines high-resolution TerraSAR-X radar data with displacement and temperature measurements to detect structural deformations with high spatial and temporal resolution. A central focus lies in attributing PSI-derived signals to specific bridge components, enabling targeted analysis of structural changes like load responses or temperature influences. These results feed into a digital twin based on the Asset Administration Shell (AAS), facilitating real-time condition assessment and predictive maintenance. By combining Earth observation EO technologies with engineering expertise and AI, AutoSatBridge supports scalable, continuous structural health monitoring and contributes to the long-term resilience of transport infrastructure     «

Bridges are vital to national infrastructure, yet their inspection remains resource-intensive. The AutoSatBridge project addresses this challenge by integrating satellite-based Persistent Scatterer Interferometry (PSI), in-situ sensor data, and artificial intelligence (AI) into a unified monitoring framework. Using the A3 motorway bridge in Sinzing, Germany as a pilot site, the project combines high-resolution TerraSAR-X radar data with displacement and temperature measurements to detect str...     »