GIS-Based Random Forest Weight for Rainfall-Induced Landslide Susceptibility Assessment at a Humid Region in Southern China

GIS-Based Random Forest Weight for Rainfall-Induced Landslide Susceptibility Assessment at a Humid Region in Southern China

Landslide susceptibility assessment is presently considered an effective tool for landslide warning and forecasting. Under the assessment procedure, a credible index weight can greatly increase the rationality of the assessment result. Using the Beijiang River Basin, China, as a case study, this pap...

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Bibliographic Details
Main Authors: Peng Wang, Xiaoyan Bai, Xiaoqing Wu, Haijun Yu, Yanru Hao, Bill X. Hu
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Water
Subjects:
landslide susceptibility
index weight
random forest
weighted linear combination
geographical information system
the Beijiang River Basin
Online Access:http://www.mdpi.com/2073-4441/10/8/1019

Internet

http://www.mdpi.com/2073-4441/10/8/1019

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