The study in deformation and destruction mechanism of Qianjiangping landslide in Three Gorges Reservoir area

Rihong Yang; Zhihua Wang; Jinzhong Yang; Zuguo Wang

doi:10.1117/12.816203

24 November 2008 The study in deformation and destruction mechanism of Qianjiangping landslide in Three Gorges Reservoir area

Rihong Yang, Zhihua Wang, Jinzhong Yang, Zuguo Wang

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Proceedings Volume 7123, Remote Sensing of the Environment: 16th National Symposium on Remote Sensing of China; 712315 (2008) https://doi.org/10.1117/12.816203
Event: Remote Sensing of the Environment: 16th National Symposium on Remote Sensing of China, 2007, Beijing, China

Abstract

The advanced digital image processing technique was used in the high resolution remote sensing images processing, aero photos before landslide happened and the Quick Bird image after landslide were processed. The technique of digital landslide, 3D visualization and man-machine interactive interpretation were used to analyze the geomorphologic features of remote sensing images. From the characteristic of the deposit, it is deduced that the paleo-landslide was a deep and consequent rock landslide with large-scale deposit, the entire deposit of "7.13" landslide is similar to the paleo-landslide, and the displaced volume is 15×106m3. Based on the geology theory, this paper synthetically compared the effect of landslide between the rainfall and the water level rising. It is concluded that the main inducing factors is the first stage storage of the Three Gorges and the continuous rainfall is triggering factor. Synthetically analyzing the process of slide and the characteristic of deposit, it is deduced that the middle and front part of Qianjiangping landslide is push-type sliding while the back part is drag sliding, the pattern of deformation and destruction is front verge leading sliding-drag.

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Rihong Yang, Zhihua Wang, Jinzhong Yang, and Zuguo Wang "The study in deformation and destruction mechanism of Qianjiangping landslide in Three Gorges Reservoir area", Proc. SPIE 7123, Remote Sensing of the Environment: 16th National Symposium on Remote Sensing of China, 712315 (24 November 2008); https://doi.org/10.1117/12.816203

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KEYWORDS

Landslide (networking)

Remote sensing

Image processing

Image resolution

Digital image processing

Factor analysis

3D visualizations

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