Landslide susceptibility evaluation based on active deformation and graph convolutional network algorithm

Landslide susceptibility evaluation based on active deformation and graph convolutional network algorithm

Disastrous landslides have become a focus of the world’s attention. Landslide susceptibility evaluation (LSE) can predict where landslides may occur and has caught the attention of scientists all over the world. This work establishes integrated criteria of potential landslide recognition and combine...

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Bibliographic Details
Main Authors: Xianmin Wang, Aiheng Du, Fengchang Hu, Zhiwei Liu, Xinlong Zhang, Lizhe Wang, Haixiang Guo
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Earth Science
Subjects:
landslide susceptibility assessment
graph convolutional network
remote sensing
active landslide
slope movement
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2023.1132722/full

Internet

https://www.frontiersin.org/articles/10.3389/feart.2023.1132722/full

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