Landslide susceptibility, ensemble machine learning, and accuracy methods in the southern Sinai Peninsula, Egypt: Assessment and Mapping-Reference-Cited by-同舟云学术

Landslide susceptibility, ensemble machine learning, and accuracy methods in the southern Sinai Peninsula, Egypt: Assessment and Mapping

Published:2024-07-13 Issue: Volume: Page:
ISSN:0921-030X
Container-title:Natural Hazards
language:en
Short-container-title:Nat Hazards

Author:

Youssef Ahmed M.,El‑Haddad Bosy A.,Skilodimou Hariklia D.,Bathrellos George D.,Golkar Foroogh,Pourghasemi Hamid Reza^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11069-024-06769-w.pdf

Reference102 articles.

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2. Achu AL, Aju CD, Reghunath R (2020) Spatial modelling of shallow landslide susceptibility: a study from the southern western ghats region of Kerala, India. Ann GIS 26:113–131. https://doi.org/10.1080/19475683.2020.1758207

3. Ahmadi H, Pekkan E (2021) Fault-based geological lineaments extraction using remote sensing and GIS—A review. Geosciences 11(5):183. https://doi.org/10.3390/geosciences11050183

4. Alrikabi A, Elmewafey M, Beshr A, Elnaggar AA (2015) Using GIS based morphometry estimation of flood hazard impacts on desert roads in South Sinai, Egypt. Int J Sci Eng Res 6(7):1593–1599

5. Arnous MO, Sultan YM (2014) Geospatial technology and structural analysis for geological mapping and tectonic evolution of Feiran–Solaf metamorphic complex, South Sinai, Egypt. Arab J Geosci 7:3023–3049. https://doi.org/10.1007/s12517-013-0959-5

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