Frequency Ratio Density, Logistic Regression and Weights of Evidence Modelling for Landslide Susceptibility Assessment and Mapping in Yanase and Naka Catchments of Southeast Shikoku, Japan Matebie Meten (PhD)1* Department of Geology College of Applied Sciences, Addis Ababa Science and Technology University, Ethiopia Telephone: +251-911899279 P.O.Box: 16417 E-mail:
[email protected] Netra Prakash Bhandary, Ph.D. Eng.(Professor) 2 Department of Environmental Design, Faculty of Collaborative Regional Innovation Graduate School of Science and Engineering Ehime University 3 Bunkyo-cho, Matsuyama 790-8577, JAPAN Tel/Fax: +81 (0)89 927 8566; Cell: +81 (0)90 3785 5836 Email:
[email protected] 1 Abstract Landslide susceptibility mapping is an important tool for disaster management and development activities such as planning of transportation infrastructure, settlement and agriculture. Shikoku Island, which is found in the southwest of Japan, is one of the most landslide prone areas because of heavy typhoon rainfall, complex geology and the presence of mountainous areas and low topographic features (valleys).Yanase and Naka Catchments of Shikoku Island in Japan were chosen as a study area. Frequency Ratio Densisty (FRD), Logistic Regression (LR) and Weights of Evidence (WoE) models were applied in a GIS environment to prepare the landslide susceptibility maps of this area. Data layers including slope, aspect, profile curvature, plan curvature, lithology, land use, distance from river, distance from fault and annual rainfall were used in this study. In FR method, two models were attempted but the FRD model was found slightly better in its performance. In case of LR method, two models, one with equal proportion and the other with unequal proportion of landslide and non-landslide points were carried out and the one with equal proportions was chosen based on its highest performance.