Research Papers

Landslide-susceptibility analysis using light detection and ranging-derived digital elevation models and logistic regression models: a case study in Mizunami City, Japan

[+] Author Affiliations
Liang-Jie Wang

Gifu University, Graduate School of Engineering, Gifu 5011193, Japan

Kazuhide Sawada

Gifu University, River Basin Research Center, Gifu 5011193, Japan

Shuji Moriguchi

Gifu University, Department of Civil Engineering, Gifu 5011193, Japan

J. Appl. Remote Sens. 7(1), 073561 (May 22, 2013). doi:10.1117/1.JRS.7.073561
History: Received August 14, 2012; Revised April 5, 2013; Accepted May 6, 2013
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Abstract.  To mitigate the damage caused by landslide disasters, different mathematical models have been applied to predict landslide spatial distribution characteristics. Although some researchers have achieved excellent results around the world, few studies take the spatial resolution of the database into account. Four types of digital elevation model (DEM) ranging from 2 to 20 m derived from light detection and ranging technology to analyze landslide susceptibility in Mizunami City, Gifu Prefecture, Japan, are presented. Fifteen landslide-causative factors are considered using a logistic-regression approach to create models for landslide potential analysis. Pre-existing landslide bodies are used to evaluate the performance of the four models. The results revealed that the 20-m model had the highest classification accuracy (71.9%), whereas the 2-m model had the lowest value (68.7%). In the 2-m model, 89.4% of the landslide bodies fit in the medium to very high categories. For the 20-m model, only 83.3% of the landslide bodies were concentrated in the medium to very high classes. When the cell size decreases from 20 to 2 m, the area under the relative operative characteristic increases from 0.68 to 0.77. Therefore, higher-resolution DEMs would provide better results for landslide-susceptibility mapping.

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© 2013 Society of Photo-Optical Instrumentation Engineers

Topics

LIDAR ; Landslides

Citation

Liang-Jie Wang ; Kazuhide Sawada and Shuji Moriguchi
"Landslide-susceptibility analysis using light detection and ranging-derived digital elevation models and logistic regression models: a case study in Mizunami City, Japan", J. Appl. Remote Sens. 7(1), 073561 (May 22, 2013). ; http://dx.doi.org/10.1117/1.JRS.7.073561


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