The impact of DEM resolution on landslide susceptibility modeling
Author:
Funder
no
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences,General Environmental Science
Link
https://link.springer.com/content/pdf/10.1007/s12517-022-10241-z.pdf
Reference78 articles.
1. Abraham MT, Satyam N, Jain P, Pradhan B, Alamri A (2021) Effect of spatial resolution and data splitting on landslide susceptibility mapping using different machine learning algorithms. Geomatics Nat Hazards Risk 12:3381–3408. https://doi.org/10.1080/19475705.2021.2011791
2. Akgun A, Dag S, Bulut F (2008) Landslide susceptibility mapping for a landslide-prone area (Findikli, NE of Turkey) by likelihood-frequency ratio and weighted linear combination models. Environ Geol 54:1127–1143. https://doi.org/10.1007/s00254-007-0882-8
3. Anis Z*, Gallala W, Vakhshoori V, Habib S, Gaied ME (2019)GIS-based landslide susceptibility mapping using bivariate statistical methods. Open Geosci 11:708–726.https://doi.org/10.1515/geo-2019-0056
4. Ayalew L, Yamagishi H (2005) the application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda- Yahiko Mountains, Central Japan. Geomorphology 65:15–31. https://doi.org/10.1016/j.geomorph.2004.06.010
5. Bonham-Carter GF (1994) Geographic information systems for geoscientists. Modeling with GIS. Pergamon, Oxford 398:416
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