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Susceptibility assessment of small, shallow and clustered landslide

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Abstract

Susceptibility assessment of landslides over a large area depends on the basic spatial unit of mapping, usually by using grid cell or slope unit. Both units are used in this study for the assessment of small shallow and clustered landslides in vegetated slopes in Malipo, southwest China. Information value (IV) model was used to generate landslide susceptibility assessment map, while improved information value (IIV) model was used to determine whether the mapping unit is at risk of landslide. Seven factors, including slope angle, slope aspect, elevation, normalized difference vegetation Index (NDVI), Soil Moisture Content (SMC), distance to river and road were used as landslide influence factors. The Area under curve (AUC) values of the slope unit IIV, IV and grid cell were 0.814, 0.802 and 0.702 respectively for success rate. For prediction rate, the AUC values of the slope unit and grid cell were 0.803(IIV), 0.790(IV) and 0.699 respectively. Our results showed slope unit is more suitable than grid cell for assessing susceptibility of Small, Shallow and Cluster Landslide. Improved information value model increases the accuracy of susceptibility assessment model for this characteristic landslide.

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Acknowledgements

This research is supported by Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No. XDA23090202), Key consulting projects of Chinese Academy of Engineering(2019-XZ-18), Foundation of Department of Land and Resources of Tibetan autonomous region ([2020] 0890-2), National Natural Science Foundation of China (Grant No. 41877261), West Young Scholars Program of the Chinese Academy of Sciences, CAS Key Technology Talent Program, Youth Natural Science Foundation of China (41704014), Special Seismic Science and Technology Project of Sichuan Earthquake Administration (LY1814). 

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Correspondence to Pengcheng Su.

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Communicated by H. Babaie.

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Liu, X., Su, P., Li, Y. et al. Susceptibility assessment of small, shallow and clustered landslide. Earth Sci Inform 14, 2347–2356 (2021). https://doi.org/10.1007/s12145-021-00687-2

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  • DOI: https://doi.org/10.1007/s12145-021-00687-2

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