We present a multi-method geophysical approach to detecting and mapping tree roots in urban environments, with a focus on integrating Ground Penetrating Radar (GPR) within a broader Unmanned Aerial Vehicle (UAV) and remote sensing framework. Conducted on a mixed-use site at the Măgurele research campus, the research employed UAV-based LiDAR, photogrammetry, and thermal imaging to identify zones of potential root-induced damage. GPR was then used as the primary method for subsurface root detection, supported by selective Electrical Resistivity Tomography (ERT) profiles. The results demonstrate that GPR can effectively detect tree roots, particularly where they intrude into paved surfaces, though challenges remain in homogeneous soil conditions. UAV LiDAR proved valuable in detecting surface deformation associated with root activity, enabling more targeted geophysical surveys. ERT, while useful for validation, was limited by resolution and time demands. The study suggests that by embedding tree root detection into regular urban geophysical surveys—already used for infrastructure monitoring—cities can prevent costly damage and support sustainable urban forestry. This non-invasive, data-driven method offers a practical alternative to destructive excavation and provides a blueprint for integrating vegetation monitoring into smart city planning and maintenance efforts.