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Proceedings Paper

Study in landslide hazard zonation based on factor weighting-rating in Wan County, Three Gorges Reservoir area
Author(s): Zhengjun Liu; Jian Wang; Changyan Chi
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Paper Abstract

Multi-source earth observation data is highly desirable in current landslide hazard prediction modeling, as well as Landslide Hazard Zonation(LHZ) is a very important content of landslide hazard prediction modeling. In this paper, take Wan County for instance, we investigate the potentials of derivation from multi-source data sets to study landslide hazard zonation based on the ordinal scale relative weighting-rating technique. LHZ is then performed with chosen factor layers including: buffer map of thrusts, lithology, slope angle and relative relief calculated from DEM, NDVI, buffer map of drainage and lineaments extracted from the digital satellite imagery(TM). Then Landslide Hazard Index (LHI) value is calculated and landslide hazard zonation is decided by slicing LHI histogram. The statistics results demonstrate that high stable slope zone, stable slope zone, quasi-stable slope zone, relatively unstable slope zone, unstable slope zone and defended slope zone account for 2.20%, 14.02%, 39.88%, 28.27%, 12.17% and 3.47% respectively. Then, GPS deformation control points on the landslide bodies are used to verify the validity of the LHZ technique.

Paper Details

Date Published: 24 November 2008
PDF: 8 pages
Proc. SPIE 7123, Remote Sensing of the Environment: 16th National Symposium on Remote Sensing of China, 712314 (24 November 2008); doi: 10.1117/12.816202
Show Author Affiliations
Zhengjun Liu, Chinese Academy of Surveying and Mapping (China)
Jian Wang, Chinese Academy of Surveying and Mapping (China)
Chinese Univ. of Mining Technology (China)
Changyan Chi, Chinese Academy of Surveying and Mapping (China)
Shandong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 7123:
Remote Sensing of the Environment: 16th National Symposium on Remote Sensing of China
Qingxi Tong, Editor(s)

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