Recognition of Landslide Triggering Mechanisms and Dynamics Using GNSS, UAV Photogrammetry and In Situ Monitoring Data

Detecting the mechanism of landslides and evaluating their dynamics is challenging, especially concerning composite landslides. For this purpose, several investigation monitoring techniques should be implemented to obtain reliable information on landslide characteristics (e.g., geological hydrogeological conditions type processes), kinematics (displacement rate), potential triggering mechanisms change in groundwater table precipitation). The Urbas northwest Slovenia has been studied for decades through geological, geotechnical, geodetic, remote sensing investigations. However, due complexity short duration continuous monitoring, no assessment its made. To meet need, study analysed periodic displacements using data from global navigation satellite system (GNSS), a wire extensometer, unmanned aerial vehicle (UAV) photogrammetry, hydrometeorological (groundwater table, results show that differ along area, depending local conditions. Consequently, certain parts are at different evolutionary states respond differently same external triggers.