EGU25-18812, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-18812
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
Automated Landslide Inventory Mapping Using SAMLoRA and Hillshade Datasets: A Deep Learning Approach
1,2,4,4,- 1University of Bucharest, Faculty of Geography, Environment, Bucharest, Romania (ionut.sandric@geo.unibuc.ro)
- 2Geological Institute of Romania, Bucharest, Romania
- 3Department of Geography, Faculty of Science, Palacký University Olomouc, Olomouc, Czech Republic
- 4Department of Geosciences, Machine Intelligence and Slope Stability Laboratory, University of Padova, Padova, Italy
- 5National Meteorological Administration, Bucharest, Romania
- 6The Institute of Rock Structure and Mechanics of the Czech Academy of Sciences, Praque, Czech Republic
How to cite: Sandric, I., Ilinca, V., Letal, A., Raj Meena, S., Irimia, R., Botea, A., Catani, F., Chitu, Z., and Klimes, J.: Automated Landslide Inventory Mapping Using SAMLoRA and Hillshade Datasets: A Deep Learning Approach, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-18812, https://doi.org/10.5194/egusphere-egu25-18812, 2025.