Geological and Hydrogeological Desk Study

Site Analysis and Historical Research

• Evaluation of geological maps of various scales and epochs using CNN-based image classification (ResNet) and Graph Neural Networks (GNN) to identify stratigraphic units and tectonic structures
• Research in official and private borehole databases within the project area, supported by NLP-based text extraction and semantic search
• Analysis of current and historical aerial and satellite imagery (Sentinel-2) using Computer Vision and Change Detection to identify anthropogenic fill, surface alterations and morphological features
• Evaluation of digital terrain models (DTM, DSM, LiDAR) to identify morphological features and derive tectonic overview maps

Hydrogeological and Environmental Assessment

• Hydrogeological site analysis including determination of groundwater levels, seasonal variation and flow conditions — supported by numerical modelling and Physics-Informed Neural Networks (PINN)
• Initial assessment of erosion, settlement and flood susceptibility
• Evaluation of contaminated land registers and historical land use to identify potentially contaminated sites
• Indicators of unexploded ordnance from aerial imagery analysis 1939–1945, as a basis for engaging an explosive ordnance disposal service

Evaluation of Existing Investigation Data

• CPT single evaluations and combined multi-CPT analyses using XGBoost regression and Random Forest to derive soil parameters and bearing capacities (q_c/q_T)
• Correlation of borehole findings with geological map information
• Borehole core photo analysis using CNN-based image segmentation for automated derivation of soil classes, grain size distribution and layer boundaries
• Cluster analyses to identify homogeneous soil zones; investigation optimisation using Active Learning and Bayesian optimisation