How can profiles of entire cities' ground movements and their transport infrastructures be analyzed and displayed? Experts from the FZN and EFTAS Fernerkundung Technologietransfer GmbH are developing a solution for this in the project BIMSAR 2. The full project title is “AI-based fusion and analysis of BIM and SAR data for improved building and transport infrastructure monitoring - Phase 2: Extension for large-scale infrastructure monitoring”. In the earlier project, BIMSAR, the researchers already succeeded in combining data from building information modeling (BIM) and remote monitoring of the earth's surface in the form of radar interferometry (InSAR). The mass of information generated in the process is processed into a hybrid model using artificial intelligence (AI).

In BIMSAR 2, these findings will be fused with data from InSAR-based soil moisture monitoring to identify ground movements and learn more about their triggers. This will allow the researchers to create a holistic model that reveals the relationships between ground movements and subsurface structures, including mining infrastructure, geology, hydrogeology and climate conditions, and shows whether subsurface movements are due to mining or climate-related causes.

3D view of a former mine in Ahlen, including geoinformation on carbon layers (purple lines), administrative boundaries (red line) and mining areas, created with ArcGIS. © THGA / Koppe

Another aim is to create an online platform that can depict urban planning models including the subsoil. By merging this with data on ground movements, a 4D visualization of the movement dynamics of entire city districts will be possible for the first time.

The German Space Agency at DLR e.V. is backing the project for one year with funding from the Federal Ministry for Economic Affairs and Climate Protection.