Comparative Study of Land Use Change and Landslide Susceptibility Using Frequency Ratio, Certainty Factor, and Logistic Regression in Upper Area of Ujung-Loe Watersheds South Sulawesi Indonesia
Author:
Affiliation:
1. Graduate School of Bio-Resources and Environmental Science, Kyushu University
2. Faculty of Forestry, Hasanuddin University, Indonesia
3. Faculty of Agriculture, Kyushu University
4. Asia Air Survey Co., Ltd.
Publisher
Japan Society of Erosion Control Engineering
Link
https://www.jstage.jst.go.jp/article/ijece/11/4/11_103/_pdf
Reference31 articles.
1. Aditian, A., and Kubota, T., 2017, The Influence of Increasing Rainfall Intensity on Forest Slope Stability in Aso Volcanic Area, Japan: International Journal of Ecology and Development, v. 32, p. 54-65.
2. Akgun, A., E. A. Sezer, H. A. Nefeslioglu, C. Gokceoglu, and B.Pradhan, 2012, An easy to use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm: Computers & Geosciences, v. 38, p. 23-34.
3. Ayalew, L., and Yamagishi, H., 2005, The application of GIS based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan: Geomorphology, v. 65, p. 15-31.
4. Badan Nasional Penangulangan Bencana (BNPB) Indonesia, 2016, Data dan Informasi Bencana Indonesia. http://dibi.bnpb.go.id/profil-wilayah/73/sulawesi-selatan.
5. Bai, S. B., Wang, J., Lü, G. N., Zhou, P. G., Hou, S. S., Xu, S. N., 2010. GIS-based logistic regression for landslide susceptibility mapping of the Zhongxian segment in the Three Gorges area, China. Geomorphology 115, 23-31. doi: 10.1016/j.geomorph.2009.09.025
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