Journal of Jilin University(Earth Science Edition) ›› 2018, Vol. 48 ›› Issue (4): 1182-1191.doi: 10.13278/j.cnki.jjuese.20160356

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Landslide Susceptibility Assessment Aided by SAR Data

Zhao Jintong, Niu Ruiqing, Yao Qi, Wu Xueling   

  1. Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China
  • Received:2017-11-07 Online:2018-07-26 Published:2018-07-26
  • Supported by:
    Supported by National High-Tech R&D Program ("973" Program) of China (2012AA121303) and National Basic Research Program ("973" Program) of China (2011CB710601)

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Abstract: Soil moisture content has a great influence on stability of landslides, especially on a soil landslide. The aim of this study is to analyze landslide susceptibility by using soil moisture content instead of moisture index in Zigui County of the Three Gorges Reservoir area. The soil moisture content was invertedby using the Sentinel-1 data. The success rate curve showed that the prediction accuracy reached 80.2%, higher than that with the terrain wetness index of 77.2%. The results suggests that using soil moisture content can predict landslides better than using the moisture index, and it is more effective.

Key words: landslide susceptibility, Sentinel-1, water-cloud model, soil moisture content, logistic regression, SAR

CLC Number: 

  • P642.22
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