Validation of Logistic Regression Model for Landslide Susceptibility Mapping at Ganeoung Areas, Korea

Landslides as major natural geological hazards often result in significant harm to people and property. Between 20 and 31 August, 2002, Typhoon Rusa hit the Gangneung area as a storm associated with heavy rainfall. The maximum daily rainfall amounted to 609 mm, with 80 mm per hour. The consequence was the death of 266 people. Damage to property amounted to an approximate value of US$ 8 billion. Amongst the casualties 81 people died as a result of landslide and the collapse of cut slope faces. So, the purpose of the study is to detect the landslide location using satellite images, and landslide-susceptibility analysis techniques were applied and validated using a logistic regression model. Using GIS as the basic analysis tool for landslide hazard mapping can be effective for management and manipulation of spatial data, together with some reasonable models for the analysis. Recently, there have been studies on landslide hazard evaluation using GIS, and many of these studies have applied statistical models available, the logistic regression model, has been applied to landslide hazard mapping. [1][2][3][4] In this study, GIS software, Arcview 3.3 and ArcGIS 9.2, and statistical software, SPSS 12.0 was used as the basic analysis tool for spatial management and data manipulation.