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Library Extraction of landslide-related factors from ASTER imagery and its application to landslide susceptibility mapping

Extraction of landslide-related factors from ASTER imagery and its application to landslide susceptibility mapping

Extraction of landslide-related factors from ASTER imagery and its application to landslide susceptibility mapping

Resource information

Date of publication
december 2012
Resource Language
ISBN / Resource ID
AGRIS:US201400107185
Pages
3211-3231

The aim of this study is to extract landslide-related factors from remote-sensing data, such as Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) satellite imagery, and to examine their applicability to landslide susceptibility near Boun, Korea, using a geographic information system (GIS). Landslide was mapped from interpretation of aerial photographs and field surveying. Factors that influence landslide occurrence were extracted from ASTER imagery. The slope, aspect and curvature were calculated from the digital elevation model (DEM) with 25.77 m root mean square error (RMSE), which was derived from ASTER imagery. Lineaments, land-cover and normalized difference vegetation index (NDVI) layers were also estimated from ASTER imagery. Landslide-susceptible areas were analysed and mapped using the occurrence factors by a frequency ratio and logistic regression model. Validation results were 84.78% in frequency ratio and 84.20% in logistic regression prediction accuracy for the susceptibility map with respect to ground-truth data.

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Authors and Publishers

Author(s), editor(s), contributor(s)

Oh, Hyun-Joo
Park, No-Wook
Lee, Sung-Soon
Lee, Saro

Publisher(s)
Data Provider
Geographical focus