ASSESSMENT OF LANDSLIDE-INDUCED DISPLACEMENT AND DEFORMATION OF ABOVE-GROUND OBJECTS USING UAV-BORNE AND AIRBORNE LASER SCANNING DATA

13 citations as recorded by crossref.

1. Combined ground-based and UAS SfM-MVS approach for determination of geometric parameters of the large-scale industrial facility – Case study Ľ. Kovanič et al. https://doi.org/10.1016/j.measurement.2023.112994
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3. Uncertainty assessment of a permanent long-range terrestrial laser scanning system for the quantification of snow dynamics on Hintereisferner (Austria) A. Voordendag et al. https://doi.org/10.3389/feart.2023.1085416
4. Quantifying the effects of nature-based solutions in reducing risks from hydrometeorological hazards: Examples from Europe M. Shah et al. https://doi.org/10.1016/j.ijdrr.2023.103771
5. Analysis of the Suitability of High-Resolution DEM Obtained Using ALS and UAS (SfM) for the Identification of Changes and Monitoring the Development of Selected Geohazards in the Alpine Environment—A Case Study in High Tatras, Slovakia Ľ. Kovanič et al. https://doi.org/10.3390/rs12233901
6. Slope stability evolution of a deep‐seated landslide considering a constantly deforming topography J. Pfeiffer et al. https://doi.org/10.1002/esp.5527
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8. Methodology and Results of Staged UAS Photogrammetric Rockslide Monitoring in the Alpine Terrain in High Tatras, Slovakia, after the Hydrological Event in 2022 Ľ. Kovanič et al. https://doi.org/10.3390/land12050977
9. Machine Learning: New Potential for Local and Regional Deep-Seated Landslide Nowcasting A. van Natijne et al. https://doi.org/10.3390/s20051425
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13. Photogrammetric rockfall monitoring in Alpine environments using M3C2 and tracked motion vectors L. Lucks et al. https://doi.org/10.1016/j.ophoto.2024.100058