Production of landslide susceptibility maps in geographic information system by frequency ratio method: Example of Demirci Tekeler Village, Demirci, Manisa
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Abstract
In this study, the landslide susceptibility map of Tekeler village, located in the borders of Demirci district of Manisa province, which occurred in 2009 and was declared as a disaster area, was produced using geographic information systems-based frequency ratio method. In landslide susceptibility analysis, precipitation, slope, aspect, height, distance to stream, distance to road, land use, lithology, curvature, topographic wetness index, normalized difference vegetation index conditioning was selected as factors. Sample random points were determined using Google Earth images from the landslide area, and the determined points were divided into two classes, 70% for training and 30% for testing. As a result, the landslide susceptibility map is divided into five classes: very low, low, medium, high, and very high. It was observed that the areas within these classes covered 11.36%, 39.61%, 34.32%, 12.89%, and 1.81% of the entire area, respectively. The accuracy of the landslide susceptibility map is calculated by considering the area under the receiver operating characteristic curve. AUC value success rate was calculated as 95.14% and prediction rate as 94.11%. With this study, it has been shown that landslide susceptibility maps can be produced successfully with the frequency ratio method. In addition, it was concluded that the resulting map is a prediction for possible landslides and can be integrated into disaster management and planning studies.