Comparative Study of Convolutional Neural Network and Conventional Machine Learning Methods for Landslide Susceptibility Mapping

Comparative Study of Convolutional Neural Network and Conventional Machine Learning Methods for Landslide Susceptibility Mapping

Landslide susceptibility mapping (LSM) is a useful tool to estimate the probability of landslide occurrence, providing a scientific basis for natural hazards prevention, land use planning, and economic development in landslide-prone areas. To date, a large number of machine learning methods have bee...

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Bibliographic Details
Main Authors: Rui Liu, Xin Yang, Chong Xu, Liangshuai Wei, Xiangqiang Zeng
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Remote Sensing
Subjects:
landslide susceptibility mapping
convolutional neural network
machine learning
GIS
Jiuzhaigou region
Lantau Island
Online Access:https://www.mdpi.com/2072-4292/14/2/321

Internet

https://www.mdpi.com/2072-4292/14/2/321

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