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A GIS-based Study of the use of A Logistic Regression for Landslide Susceptibility Analysis: A Case Study of Deji Reservoir Watershed

Authors: Heng Yu Hsu*, , Pei-Rong Chen*,
Topics: Remote Sensing, Hazards and Vulnerability, Hazards, Risks, and Disasters
Keywords: Landslides, Satellite Imagery, Logistic Regression
Session Type: Poster
Presentation File: No File Uploaded


Deji Reservoir is an important storing facilities of water in Taiwan. In the near future, the over-development and environmental factors result in landslide and reservoir sedimentation. The landslide is also a threat to local people, so it’s significant to find the factors inducing landslide. This study uses the satellite imageries by FORMOSAT-2 for mapping locations of landslide. A logistic regression is used to establish landslide susceptibility maps for the watershed of Deji Reservoir. Six causative factors for landslides which are elevation, slope, aspect, geology, river and land use are selected. The weight of each factors reflects its effect on landslide. This study will find the most affected factors for landslide and analysis the relation between landslide susceptibility maps and landslide in spot.

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