Assessing landslide susceptibility using improved machine learning methods and considering spatial heterogeneity for the Three Gorges Reservoir Area, China-Reference-Cited by-同舟云学术

Assessing landslide susceptibility using improved machine learning methods and considering spatial heterogeneity for the Three Gorges Reservoir Area, China

Published:2023-10-17 Issue:2 Volume:120 Page:1113-1140
ISSN:0921-030X
Container-title:Natural Hazards
language:en
Short-container-title:Nat Hazards

Author:

Dong Jiahui,Niu Ruiqing,Chen Tao,Dong LiangYun

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/s11069-023-06235-z.pdf

Reference56 articles.

1. Achour Y, Garçia S, Cavaleiro V (2018) GIS-based spatial prediction of debris flows using logistic regression and frequency ratio models for Zêzere River basin and its surrounding area, Northwest Covilhã, Portugal. Arab J Geosci 11:550. https://doi.org/10.1007/s12517-018-3920-9

2. Ahmad MN, Shao Z, Altan O (2022) Effect of locust invasion and mitigation using remote sensing techniques: a case study of North Sindh Pakistan. Photogramm Eng Remote Sens 88:47–53. https://doi.org/10.14358/PERS.21-00025R2

3. Bai S-B, Wang J, Lü G-N et al (2010) GIS-based logistic regression for landslide susceptibility mapping of the Zhongxian segment in the Three Gorges area, China. Geomorphology 115:23–31. https://doi.org/10.1016/j.geomorph.2009.09.025

4. Cao Y, Zhou W, Wang J, Yuan C (2011) Spatial-temporal pattern and differences of land use changes in the Three Gorges Reservoir Area of China during 1975–2005. J Mt Sci 8:551–563. https://doi.org/10.1007/s11629-011-2008-8

5. Chang K-T, Merghadi A, Yunus AP et al (2019) Evaluating scale effects of topographic variables in landslide susceptibility models using GIS-based machine learning techniques. Sci Rep 9:12296. https://doi.org/10.1038/s41598-019-48773-2

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