MORPHOLOGICAL ANALYSIS OF LANDSLIDES IN EXTREME TOPOGRAPHY BY UAS-SfM: DATA ACQUISITION, 3D MODELS AND CHANGE DETECTION

6 citations as recorded by crossref.

1. Applications of drone in disaster management: A scoping review S. Mohd Daud et al. https://doi.org/10.1016/j.scijus.2021.11.002
2. MAST: An Earthquake-Triggered Landslides Extraction Method Combining Morphological Analysis Edge Recognition With Swin-Transformer Deep Learning Model Y. Huang et al. https://doi.org/10.1109/JSTARS.2023.3342989
3. 3D Reconstruction based on multi-view stereo in the deep learning era: a survey and comparison of methods B. Song et al. https://doi.org/10.1007/s00371-025-04184-1
4. Uncrewed aircraft system base site suitability analysis for multi-hazard disaster response L. Bañares & A. Andreeva-Mori https://doi.org/10.1016/j.trd.2026.105496
5. Trends, benefits, and barriers of unmanned aerial systems in the construction industry: a survey study in the United States G. Albeaino & M. Gheisari https://doi.org/10.36680/j.itcon.2021.006
6. Using terrestrial laser scanner and RPA-based-photogrammetry for surface analysis of a landslide: a comparison G. Garcia et al. https://doi.org/10.1590/s1982-21702022000300016