题名 | Landslide Susceptibility Mapping Using GIS-based Vector Grid File (VGF) Validating with InSAR Techniques: Three Gorges, Yangtze River (China) |
作者 | |
通讯作者 | Kincal, Cem |
发表日期 | 2017-04-01
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DOI | |
发表期刊 | |
ISSN | 2471-2132
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卷号 | 3期号:1页码:116-141 |
摘要 | A landslide susceptibility assessment for the Three Gorges (TG) region (China) was performed in a Geographical Information System (GIS) environment and Persistent Scatterer (PS) InSAR derived displacements were used for validation purposes. Badong County of TG was chosen as case study field. Landslide parameters were derived from two datasets. The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Digital Elevation Map (GDEM) was used to calculate slope geometry parameters (slope, aspect, drainage, and lineament), while geology and vegetation cover were obtained from Landsat and ASTER data. The majority of historical landslides occurred in the sandstone-shale-claystone intercalations. It appears that slope gradients are more critical than other parameters such as aspect and drainage. The susceptibility assessment was based on a summation of assigned susceptibility scores (points) for each 30x30 m unit in a database of a Vector Grid File (VGF) composed of, vector pixels.. A landslide susceptibility map (LSM) was generated using VGF and classified with low, moderate and high landslide susceptibility zones. The comparison between the LSM and PS InSAR derived displacements suggests that landslides only account for parts of the observed surface movements. |
关键词 | |
相关链接 | [来源记录] |
收录类别 | |
语种 | 英语
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学校署名 | 其他
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资助项目 | Natural Environmental Research Council (NERC) through the GAS project[NE/H001085/1]
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WOS研究方向 | Geology
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WOS类目 | Geosciences, Multidisciplinary
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WOS记录号 | WOS:000404166000006
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出版者 | |
来源库 | Web of Science
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引用统计 |
被引频次[WOS]:3
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成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/29196 |
专题 | 南方科技大学 前沿与交叉科学研究院 |
作者单位 | 1.Dokuz Eylul Univ, Fac Engn, Dept Geol Engn, Izmir, Turkey; 2.Newcastle Univ, Sch Civil Engn & Geosci, Newcastle Upon Tyne, Tyne & Wear, England; 3.Univ Glasgow, Sch Geog & Earth Sci, Glasgow G12 8QQ, Lanark, Scotland; 4.Southern Univ Sci & Technol, Shenzhen, Guangdong, Peoples R China; 5.UCL, Dept Space & Climate Phys, Mullard Space Sci Lab, London, England |
推荐引用方式 GB/T 7714 |
Kincal, Cem,Li, Zhenhong,Drummond, Jane,et al. Landslide Susceptibility Mapping Using GIS-based Vector Grid File (VGF) Validating with InSAR Techniques: Three Gorges, Yangtze River (China)[J]. AIMS Geosciences,2017,3(1):116-141.
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APA |
Kincal, Cem,Li, Zhenhong,Drummond, Jane,Liu, Peng,Hoey, Trevor,&Muller, Jan-Peter.(2017).Landslide Susceptibility Mapping Using GIS-based Vector Grid File (VGF) Validating with InSAR Techniques: Three Gorges, Yangtze River (China).AIMS Geosciences,3(1),116-141.
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MLA |
Kincal, Cem,et al."Landslide Susceptibility Mapping Using GIS-based Vector Grid File (VGF) Validating with InSAR Techniques: Three Gorges, Yangtze River (China)".AIMS Geosciences 3.1(2017):116-141.
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条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | 操作 | |
geosci-03-00116.pdf(2527KB) | -- | -- | 限制开放 | -- |
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