This study evaluated and compared landslide susceptibility maps produced with three
different methods, frequency ratio, weights of evidence, and logistic regression, by using …

The current research presents a detailed landslide susceptibility mapping study by binary
logistic regression, analytical hierarchy process, and statistical index models and an …

This paper presents landslide-susceptibility mapping using an adaptive neuro-fuzzy
inference system (ANFIS) using a geographic information system (GIS) environment. In the …

Landslide-related factors were extracted from Advanced Spaceborne Thermal Emission and
Reflection Radiometer (ASTER) images, and integrated techniques were developed …

The aim of this study is to produce landslide susceptibility mapping by probabilistic
likelihood ratio (PLR) and spatial multi-criteria evaluation (SMCE) models based on …

A remote sensing and geographic information system-based study has been carried out to
map areas susceptible to landslides using three statistical models, frequency ratio (FR) …

The phase after the determination of the landslide area in landslide susceptibility studies is
the selection of methods and parameters to be used. Approximately 1500 randomly selected …

Devrek town with increasing population is located in a hillslope area where some landslides
exist. Therefore, landslide susceptibility map of the area is required. The purpose of this …

Subsidence of ground caused by underground mines poses hazards to human life and
property. This study analyzed the hazard to ground subsidence using factors that can affect …

Evidential belief function (EBF) model was applied and validated for analysis of landslide
susceptibility in the Pyungchang area of Korea using geographic information system. Areas …