GIS-based fully automatic landslide susceptibility analysis by weight-of-evidence and frequency ratio methods

Kose D. D. , Türk T.

PHYSICAL GEOGRAPHY, vol.40, pp.481-501, 2019 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 40
  • Publication Date: 2019
  • Doi Number: 10.1080/02723646.2018.1559583
  • Title of Journal : PHYSICAL GEOGRAPHY
  • Page Numbers: pp.481-501
  • Keywords: GIS, landslide, landslide susceptibility analysis, user-interface, LOGISTIC-REGRESSION, STATISTICAL-ANALYSIS, TURKEY, AREA, PREDICTION, MOUNTAINS, ISLAND


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 (Savsat 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.