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Landslide susceptibility assessment based on multi GPUs: a deep learning approach

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Abstract

Landslide is a major natural hazard causing losses of human lives and properties. Therefore, it is significant to assess landslide susceptibility. This paper proposed an assessment model for landslide susceptibility based on deep learning to avoid landslide hazards and reduce losses. We combined the multilayer perceptron and the frequency ratio to construct a hybrid model to calculate landslide susceptibility. We used 22,877 landslide locations and an equal number of non-landslide locations obtained from high-resolution satellite images for experiments. The model’s accuracy and the AUC value outperform the non-hybrid single models by 32.88%. Furthermore, we employed multi GPUs to accelerate the training process. We utilized a node with four GPUs to distribute the model and calculate the input batch, resulting in a decent speedup.

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Availability of data and material

The data that support the findings of this study are available from the author, Sansar Raj Meena, upon reasonable request.

Notes

  1. http://data.stats.gov.cn/easyquery.htm?cn=C01&zb=A0

    C0D&sj=2018, National Bureau of Statistics of China.

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Funding

The study is supported by Overseas Scientific and Technological Cooperation Projects (No. 2020197001). The National Science Foundation of Hubei Province, China (No. 2020CFB752), and the Open Foundation of the Teaching Laboratory of CUG (No. SKJ2020254).

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Authors and Affiliations

  1. School of Computer Science, China University of Geosciences, Wuhan, 430074, China

    Chuliang Guo, Jinxia Wu, Shuaihe Zhao, Zihao Wang & Feng Zhang

  2. Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, 430074, China

    Jinxia Wu & Feng Zhang

  3. Department of Geoinformatics, University of Salzburg, 5020, Salzburg, Austria

    Sansar Raj Meena

Authors
  1. Chuliang Guo
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  2. Jinxia Wu
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  3. Shuaihe Zhao
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  4. Zihao Wang
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  5. Sansar Raj Meena
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  6. Feng Zhang
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Correspondence to Feng Zhang.

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The code is available in https://github.com/sumitpo/FR_and_mlp

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Guo, C., Wu, J., Zhao, S. et al. Landslide susceptibility assessment based on multi GPUs: a deep learning approach. CCF Trans. HPC 4, 135–149 (2022). https://doi.org/10.1007/s42514-022-00097-w

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