RAPID MAPPING OF FORESTED LANDSLIDE FROM ULTRA-HIGH RESOLUTION UNMANNED AERIAL VEHICLE DATA

10 citations as recorded by crossref.

1. Susceptibility Assessment of Deep-seated Landslides in Sub-Himalayan Galiat Region, Pakistan Q. Mehmood & T. Can https://doi.org/10.15446/esrj.v29n3.116114
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3. Urban slum identification in Bogor Tengah Sub-District, Bogor City using Unmanned Aerial Vehicle (UAV) Images and Object-Based Image Analysis Q. Ashilah et al. https://doi.org/10.1088/1755-1315/716/1/012133
4. Review on the artificial intelligence-based methods in landslide detection and susceptibility assessment: Current progress and future directions Y. Li et al. https://doi.org/10.1016/j.ige.2024.10.003
5. The use of UAVs for landslide disaster risk research and disaster risk management: a literature review R. Garnica-Peña & I. Alcántara-Ayala https://doi.org/10.1007/s11629-020-6467-7
6. Volume estimation for high-locality fragmented rockfall using UAV-based photogrammetry J. Huang et al. https://doi.org/10.1007/s11069-024-07092-0
7. A Comparison of Landforms and Processes Detection Using Multisource Remote Sensing Data: The Case Study of the Palinuro Pine Grove (Cilento, Vallo di Diano and Alburni National Park, Southern Italy) M. Valiante et al. https://doi.org/10.3390/rs16152771
8. Characteristics of landslides and assessment of deep-seated landslide susceptibility in Northern Turkey T. Duman & T. Çan https://doi.org/10.1007/s42990-023-00105-3
9. Identification of Streamside Landslides with the Use of Unmanned Aerial Vehicles (UAVs) in Greece, Romania, and Turkey M. Yavuz et al. https://doi.org/10.3390/rs15041006
10. UAV Image-Based 3D Reconstruction Technology in Landslide Disasters: A Review Y. Chen et al. https://doi.org/10.3390/rs17173117