Seismic Landslide Susceptibility Assessment Using Newmark Displacement Based on a Dual-Channel Convolutional Neural Network

Seismic Landslide Susceptibility Assessment Using Newmark Displacement Based on a Dual-Channel Convolutional Neural Network

Landslide susceptibility assessment (LSA) is an essential tool for landslide hazard warning. The selection of earthquake-related factors is pivotal for seismic LSA. In this study, Newmark displacement (<i>D<sub>n</sub></i>) is employed as the earthquake-related factor, provid...

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Bibliographic Details
Main Authors: Yan Li, Dongping Ming, Liang Zhang, Yunyun Niu, Yangyang Chen
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Remote Sensing
Subjects:
landslide
landslide susceptibility assessment
convolutional neural network (CNN)
Newmark
earthquake
Online Access:https://www.mdpi.com/2072-4292/16/3/566

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