An Overview of the Studies done in the Field of Landslide Risk Mapping (Random Forest Algorithm)

Along with earthquakes and floods, landslides can be considered one of the most important natural disasters in the world, in which several factors can play a role. Researchers prepared a zoning map using different methods to manage the risk of landslides. The purpose of this article is to review the studies conducted. In the field of landslide risk zoning, the results obtained from this research show that there is no specific method to prepare a landslide risk zoning map. To obtain a map with minimum error, different methods, including random forest, should be used to produce a landslide risk potential model. Various methods have also been developed in the GIS environment to produce landslide potential models. These methods are generally divided into data-oriented and knowledge-oriented methods. Data-oriented methods are based on existing landslide points, and knowledge-oriented methods are based on expert judgment. Random forest algorithms can be mentioned among the data-oriented methods. Available data depends on the scale of the study and the type of method used.