Mapping the Susceptibility of Lushan Seismic Landslide Based on Multimodal Classification Model

LI Qi-rong; MIAO Ze-lang; CHEN Shuai; LI Ke; PU Ming-hui

doi:10.11988/ckyyb.20210074

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Journal of Changjiang River Scientific Research Institute ›› 2022, Vol. 39 ›› Issue (5) : 63-70. DOI: 10.11988/ckyyb.20210074

ENGINEERING SAFETY AND DISASTER PREVENTION

Mapping the Susceptibility of Lushan Seismic Landslide Based on Multimodal Classification Model

LI Qi-rong^1,2,3, MIAO Ze-lang^1,2, CHEN Shuai^1,2, LI Ke^1,2, PU Ming-hui^1,2

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Abstract

To improve the accuracy of assessing seismic landslide susceptibility, we proposed a landslide susceptibility assessment model from the perspective of multimodal data fusion. With the Lushan earthquake as a case study, we extracted fifteen causative factors of landslide from multi-source data and divided them into four modalities. With the slope unit being the assessment unit, we compared and evaluated the present method and the logistic regression model by using receiver operating characteristic (ROC) curve and zonal landslide hazard point density. Results demonstrate that the area under the ROC curve is 0.86, and the hazard point density of high and very high susceptibility zones is 2.24 points/km², indicating that the present model is well applicable to the study region. Also, the present model has higher accuracy and better performance than the logistic regression model, suggesting that the presented model has a better applicability in the region.

Key words

landslide / susceptibility assessment / accuracy / multimodal classification model / causative factors / Lushan earthquake

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LI Qi-rong, MIAO Ze-lang, CHEN Shuai, LI Ke, PU Ming-hui. Mapping the Susceptibility of Lushan Seismic Landslide Based on Multimodal Classification Model[J]. Journal of Changjiang River Scientific Research Institute. 2022, 39(5): 63-70 https://doi.org/10.11988/ckyyb.20210074

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