Identifying landslide boundaries and morphological features using traditional methods is labor-intensive, costly, and often limited—especially in areas altered by human activity or covered with dense vegetation. In such cases, modern remote sensing methods are considered a good alternative; however, their accuracy and reliability also depend on several factors. This study aims to identify landslide boundaries and morphological features using modern remote sensing techniques and to compare and validate the derived parameters with those obtained through traditional field methods. In this study, the remote sensing technology employed is a high-resolution digital elevation model (HRDEM) generated by a LiDAR sensor mounted on an unmanned aerial vehicle (UAV). Based on this dataset, various terrain parameters were analyzed, including slope, aspect, contour, curvature, hillshade, the topographic ruggedness index (TRI), the topographic position index (TPI), and the topographic wetness index (TWI). Individual analysis, composite analysis, and principal component analysis (PCA) of these parameters enabled the identification of the landslide boundaries and key morphological elements. This study was conducted on a landslide-prone slope in the Surami area of Georgia, which is characterized by extensive anthropogenic impact. The accuracy of the LiDAR-derived results was confirmed through field validation. This study demonstrates the effectiveness of UAV-LiDAR technology in areas affected by anthropogenic activity.

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The Greater Caucasus is a typical active double wedge orogen that accommodates the crustal shortening due to far-field effects of the collision between the Arabian and Eurasian plates. Our study area is the western part of the Greater Caucasus pro-wedge, represented by the central and northern parts of the Rioni Foreland basin and the southern slope of the Greater Caucasus. Here, we present a new structural model based on interpreted seismic profiles, regional structural cross-sections, and earthquake focal mechanisms. From SSW to NNE, serial structural cross-sections reveal: (1) basement-involved thrust faults and thick-skinned fault-bend folds, and (2) thin-skinned structures expressed as duplexes and imbricate fault-propagation folds. The dominant compressional structural styles are controlled by multiple detachment horizons.According to the presented serial structural cross-sections, the Enguri HPP dam is located on top of the triangle zone. Major basement-involved thrusts produce first-order thick-skinned fault-bend folds, which move southward, creating second-order fault-propagation folds and duplexes in the sedimentary cover. Preexisting, basement-involved extensional faults inverted during compressive deformation produced basement-cored uplifts that transferred thick-skinned shortening southward onto the thin-skinned structures detached above the basement.The correlation of earthquake hypocenters and focal mechanisms with faults interpreted from 3D structural models enables the identification of active structures. Five potentially active thrust faults are recognized within the study area. Four of these structures are south-vergent thrusts, whereas one corresponds to an out-of-sequence thrust.Acknowledgments. This work was funded by Shota Rustaveli National Science Foundation (SRNSF) (grant# FR-23-8896).