ABSTRACT Landslides cause considerable loss of life and property; therefore, it is important to determine landslide susceptibility. The aim of this study is to produce a geographical information system (GIS)-based landslide susceptibility map (LSM) by the frequency ratio (FR) and weight-of-evidence (WOFE) methods for the selected study area (Şavşat city, Turkey), to calculate the accuracy of the produced LSM, and to perform all these operations fully automatically. User-interface programs were developed in a GIS environment. Slope, aspect, elevation, lithology, distance to fault, distance to river network, normalized difference vegetation index, land use/land cover, and rainfall parameters were included to produce the LSM. The area-under-curve value obtained in receiver operating characteristic (ROC) analysis of the LSM produced by the FR method is 0.78 and that obtained in ROC analysis of the LSM produced by the WOFE method is 0.74. The LSM production process typically takes a long time. This study presents a different perspective on the production of LSM by developing a new method to automatically perform landslide susceptibility analysis. The method presented here, which includes user-interface programs, could be applied to any landslide area.

中文翻译：

---

基于 GIS 的基于证据权重和频率比方法的全自动滑坡敏感性分析

摘要 山体滑坡造成大量生命和财产损失；因此，确定滑坡敏感性很重要。本研究的目的是通过频率比 (FR) 和证据权重 (WOFE) 方法为选定的研究区域 (Şavşat 市，土耳其) 制作基于地理信息系统 (GIS) 的滑坡敏感性图 (LSM)。 )，计算生成的 LSM 的准确性，并完全自动执行所有这些操作。用户界面程序是在 GIS 环境中开发的。包括坡度、坡向、高程、岩性、到断层的距离、到河网的距离、归一化差异植被指数、土地利用/土地覆盖和降雨参数以产生 LSM。FR法制备的LSM的ROC分析得到的曲线下面积为0.78，WOFE法制备的LSM的ROC分析得到的曲线下面积为0.74。LSM 生产过程通常需要很长时间。本研究通过开发一种自动执行滑坡敏感性分析的新方法，对 LSM 的产生提出了不同的观点。这里介绍的方法包括用户界面程序，可以应用于任何滑坡区域。