Influence of landslide inventory timespan and data selection on slope unit-based susceptibility models
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology
Link
https://link.springer.com/content/pdf/10.1007/s11069-023-06092-w.pdf
Reference56 articles.
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2. Alvioli M, Guzzetti F, Marchesini I (2020) Parameter-free delineation of slope units and terrain subdivision of Italy. Geomorphology 358:107–124. https://doi.org/10.1016/j.geomorph.2020.107124
3. Alvioli M, Marchesini I, Pokharel B, Gnyawali K, Lim S (2022a) Geomorphological slope units of the Himalayas. J Maps 18:300–313. https://doi.org/10.1080/17445647.2022.2052768
4. Alvioli M, Loche M, Jacobs L, Grohmann C (2022b) Call for collaboration: benchmark datasets for landslide susceptibility zonation. Earth-Arxiv (Preprint). https://doi.org/10.31223/X52S9C
5. Basak D, Pal S, Patranabis D (2007) Support vector regression. Neural Information Process Lett Rev 11:203–223
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