Application of remote sensing and analytical hierarchy process (AHP) for developing landslide vulnerability zone in Boja District, Kendal Regency, Central Java Province

Abstract

Landslide is one of geomorphology process that can be a natural hazard for humans. An area has internal parameters that can cause landslide occurrences such as slope, lithology, rainfall, and hydrology. Furthermore, human activities can increase susceptibility for the landslide. Thus, the landslide vulnerability mapping is required to obtain potential of landslide susceptibility of an area. The study area is located in the Boja District. The goals are to determine the weight of internal factors which can cause vulnerable for landslide and to develop vulnerable landslide zone. The methods were remote sensing analysis using Digital Elevation Model (DEM) data and Analytical Hierarchy Process (AHP) to define the weight of internal parameters which cause a landslide. The results show that there are three levels of the vulnerable zone i.e. low, moderate, and high vulnerable levels of the landslide.