Identification of geological potential landslides in Cang Mountain by combining SBAS-InSAR technique and information entropy

doi:10.13474/j.cnki.11-2246.2022.0318

Abstract

Abstract: In response to the problem of high hidden landslide hazards in southwest China, it is difficult to identify the problem comprehensively by traditional technology. This paper took Dali Cang Mountain as the research object and used SBAS-InSAR technique to identify landslide potential in Cang Mountain between January 2019 and ation between different slope grades and slope stability. Finally, based on the remote sensing images of typical potential landslide areas and the deformation time series maps of sampling points, the spatial and temporal evolution trends of slope stability and deformation inducing factors are discussed. The experimental results show that ① The deformation rate in the study area is -155.6 to 92.4mm/a during January 2019 to April 2021, and 13 unstable potential landslides exceeding -30mm/a are identified. ② The information entropy is greater than 0.8 when the grade of slope is Ⅳ,Ⅴ, the slope stability is weak and the uneven deformation is serious, which maintains high consistency with the existing literature conclusions, confirming the reliability of the model. ③ The deformation trend of typical potential landslide area shows obvious seasonal changes, and rainfall and snow and ice melt are the main factors leading to slope instability.

Key words: Cang Mountain, SBAS-InSAR technology, combination, information entropy, identification of potential landslides

CLC Number:

ZHU Zhifu, GAN Shu, ZHANG Jianming, YUAN Xiping, WANG Ruibo, ZHANG Xiaolun. Identification of geological potential landslides in Cang Mountain by combining SBAS-InSAR technique and information entropy[J]. Bulletin of Surveying and Mapping, 2022, 0(11): 13-19.

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