Risk Assessment and Adaptation Strategies for Dazhong Village Landslide No.1 in Yilan County, Taiwan
Determination of Landslide Susceptibilities Using UAV-Borne RGB and NIR images: A Case Study of Shenmu Area in Taiwan
49(3):142-153Yu-Shen Hsiao* Ta-Hsien Chung Su-Chin Chen Jung-Chieh Chang 
* Corresponding Author. E-mail : email@example.com Show preview
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|Determination of Landslide Susceptibilities Using UAV-Borne RGB and NIR images: A Case Study of Shenmu Area in Taiwan|
|Yu-Shen Hsiao* Ta-Hsien Chung Su-Chin Chen Jung-Chieh Chang |
This study conducted a landslide susceptibility analysis at Shenmu area in Taiwan by using terrain models constructed using unmanned aerial vehicles (UAVs). High-resolution orthomosaics and digital surface models(DSMs) were both obtained from several UAV practical surveys by using red–green–blue (RGB) and near-infrared(NIR) cameras,
respectively. GPS control points were used for evaluating the DSMs. The algorithm for landslide susceptibility
prediction is based on logistic regression, in which elevation, terrain slope, terrain aspect, terrain relief,
terrain roughness, and curvature, were the primary factors. The results are as follows: (1) the vertical accuracies of
RGB- and NIR-derived DSMs are 0.953 and 2.236 m, respectively; (2) terrain slopes and aspects are the most influential factors in landslide susceptibility prediction; (3) the DSM derived from RGB images are more appropriate for landslide susceptibility prediction than that from NIR.
Keyword: UAV, Landslide Susceptibility, Logistic Regression
〔1〕Department of Soil and Water Conservation, National Chung Hsing University, Taichung 402, Taiwan, R.O.C.
〔2〕Water Resources Bureau, Kaohsiung City Government, Kaohsiung 830, Taiwan, R.O.C.
〔3〕Third River Management Office, Water Resources Agency, Ministry of Economic Affairs, Taichung 413, Taiwan, R.O.C.
* Corresponding Author. E-mail : firstname.lastname@example.org
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