Embedded Feature Selection and Machine Learning Methods for Flash Flood Susceptibility-Mapping in the Mainstream Songhua River Basin, China

Embedded Feature Selection and Machine Learning Methods for Flash Flood Susceptibility-Mapping in the Mainstream Songhua River Basin, China

Mapping flash flood susceptibility is effective for mitigating the negative impacts of flash floods. However, a variety of conditioning factors have been used to generate susceptibility maps in various studies. In this study, we proposed combining logistic regression (LR) and random forest (RF) mode...

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Bibliographic Details
Main Authors: Jianuo Li, Hongyan Zhang, Jianjun Zhao, Xiaoyi Guo, Wu Rihan, Guorong Deng
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Remote Sensing
Subjects:
flash flood
susceptibility mapping
feature selection
random forest
logistic regression
Online Access:https://www.mdpi.com/2072-4292/14/21/5523

Internet

https://www.mdpi.com/2072-4292/14/21/5523

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