Automatic Groundwater Detection from GPR Data using YOLOv8

This study leverages the YOLOv8m computer vision algorithm with Ground Penetrating Radar (GPR) for enhanced aquifer detection in simulated Qatari terrains. Using image processing techniques like the Canny operator, a detection accuracy of 72% was achieved. Different radar resolutions were tested, highlighting the future potential of Transfer Learning for improvement. While simulations show promise, real-world deployment remains an essential next step.