Landslide susceptibility modeling applying machine learning methods: A case study from Longju in the Three Gorges Reservoir area, China-Reference-Cited by-同舟云学术

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Landslide susceptibility modeling applying machine learning methods: A case study from Longju in the Three Gorges Reservoir area, China

Published:2018-03 Issue: Volume:112 Page:23-37
ISSN:0098-3004
Container-title:Computers & Geosciences
language:en
Short-container-title:Computers & Geosciences

Author:

Zhou Chao,Yin Kunlong,Cao Ying,Ahmed Bayes,Li Yuanyao,Catani Filippo,Pourghasemi Hamid Reza

Funder

National Natural Science Foundation of China

China Scholarship Council

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Information Systems

Reference40 articles.

1. The Human Cost of Landslide in 2016, the Landslide Blog;AGU,2017

2. GIS-based logistic regression for landslide susceptibility mapping of the Zhongxian segment in the Three Gorges area, China;Bai;Geomorphology,2010

3. A systematic review of landslide probability mapping using logistic regression;Budimir;Landslides,2015

4. Landslide susceptibility estimation by random forests technique: sensitivity and scaling issues;Catani;Nat. Hazard. Earth. Sys,2013

5. Recommendations for the quantitative analysis of landslide risk;Corominas;Bull. Eng. Geol. Environ.,2014

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