Uncertainty study of landslide susceptibility prediction considering the different attribute interval numbers of environmental factors and different data-based models-Reference-Cited by-同舟云学术

Uncertainty study of landslide susceptibility prediction considering the different attribute interval numbers of environmental factors and different data-based models

Published:2021-07 Issue: Volume:202 Page:105250
ISSN:0341-8162
Container-title:CATENA
language:en
Short-container-title:CATENA

Author:

Huang Faming,Ye Zhou,Jiang Shui-Hua,Huang Jinsong,Chang Zhilu,Chen Jiawu

Funder

Jiangxi Provincial Natural Science Foundation

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Earth-Surface Processes

Reference65 articles.

1. Comparison of gis-based landslide susceptibility models using frequency ratio, logistic regression, and artificial neural network in a tertiary region of ambon, indonesia;Aditian;Geomorphology,2018

2. A novel ensemble bivariate statistical evidential belief function with knowledge-based analytical hierarchy process and multivariate statistical logistic regression for landslide susceptibility mapping;Althuwaynee;Catena,2014

3. Comparative assessment using boosted regression trees, binary logistic regression, frequency ratio and numerical risk factor for gully erosion susceptibility modelling;Arabameri;CATENA,2019

4. Gis-based logistic regression for landslide susceptibility mapping of the zhongxian segment in the three gorges area, china;Bai;Geomorphology,2010

5. Landslide susceptibility modelling using the quantitative random forest method along the northern portion of the yukon alaska highway corridor, canada;Behnia;Natural Hazards,2017

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