Landslide susceptibility assessment and key influencing factors identification using 3D convolutional neural network (3D-CNN) in deep learning

Xin-wen Zhao; Ao Zhang; Xiao-zhan Zheng; Xuan Huang; Hai-shan Ma; Zheng-hui Li

doi:10.31035/cg2025101

Articles in press have been peer-reviewed and accepted, which are not yet edited and assigned to volumes/issues, but are citable by Digital Object Identifier (DOI).

Zhao Xin-wen, Zhang Ao, Zheng Xiao-zhan, Huang Xuan, Ma Hai-shan, Li Zheng-hui. 2026. Landslide susceptibility assessment and key influencing factors identification using 3D convolutional neural network (3D-CNN) in deep learning. China Geology, 9(4), 667‒685. doi: 10.31035/cg2025101.

Citation: Zhao Xin-wen, Zhang Ao, Zheng Xiao-zhan, Huang Xuan, Ma Hai-shan, Li Zheng-hui. 2026. Landslide susceptibility assessment and key influencing factors identification using 3D convolutional neural network (3D-CNN) in deep learning. China Geology, 9(4), 667‒685. doi: 10.31035/cg2025101.

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Landslide susceptibility assessment and key influencing factors identification using 3D convolutional neural network (3D-CNN) in deep learning

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Landslide susceptibility assessment and key influencing factors identification using 3D convolutional neural network (3D-CNN) in deep learning

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