GIS-based landslide susceptibility mapping along the railway using analytical hierarchy process in southwest of Iran

Abstract

Landslide problems are abundant in the mountainous areas of Iran due to a different geological conditions, abundant rainfall and anthropogenic factors, which leads to enormous loss of life and property every year. To control such problems, systematic studies of landslides are necessary, including inventory mapping and risk assessment. This study applies the analytical hierarchy process method in the south west of Iran. A landslide susceptibility map is prepared on the basis of available digital data and remote sensing imagery. The landslide susceptibility map is produced through physical and statistical methods. The results reveal that the predicted susceptibility levels are found to be in good agreement with the past landslide occurrences, and, hence, the map is trustworthy for future land-use planning.