Non-invasive geophysical prospection has become a fundamental component of archaeological research, providing high-resolution information on buried remains and landscape evolution while minimizing disturbance to cultural heritage. Advances in sensor technologies, UAVs, autonomous platforms, and computational methods are extending archaeological geophysics beyond site detection towards the quantitative characterization and three-dimensional reconstruction of subsurface features. This session welcomes contributions presenting innovative geophysical approaches for archaeological investigations based on single- and multi-method datasets acquired from ground-based, UAV-borne, and other mobile platforms. Particular emphasis is placed on the integration of magnetic, gravimetric, electromagnetic, ground-penetrating radar (GPR), electrical, seismic, and multi-sensor observations for the investigation and characterization of archaeological sites. The session aims to highlight recent developments in the detection, mapping, and quantitative interpretation of buried archaeological remains through advanced methodologies for data processing, imaging, inversion and joint inversion, data fusion, machine learning, artificial intelligence, and digital reconstruction. Special attention will be given to approaches enabling high-resolution 3D and 4D visualization of subsurface archaeological structures and landscapes, including the integration of geophysical datasets with excavation data, remote sensing products, photogrammetry, LiDAR, digital twins, and archaeological information systems.
A further focus concerns innovative acquisition strategies and instrumentation, including UAV-mounted sensors, autonomous and robotic platforms, mobile mapping approaches, dense-array surveys, and real-time processing workflows. Contributions addressing challenging environments such as urban areas, dense vegetation, rugged terrains, coastal and wetland settings, and protected heritage sites are particularly encouraged.