Geographic Information System (GIS)-based landslide susceptible area detection using geospatial and satellite data

This study focused on detection technique of landslide susceptible areas in Banten, DKI Jakarta and Jawa Barat by utilizing Weighted Linear Combination (WLC) method based on Geographic Information System using geospatial and satellite data. Several weighting approaches were used to examine the dominant landslide-controlling factors, e.g.: elevation, slope, soil type, land cover, rainfall average and standard deviation. WLC results showed that slope gradient was the most dominant factor which caused landslide events. This study also assessed the yearly distribution of landslide susceptible areas which not only depend on fluctuation of dynamic factors such as land cover and rainfall. The accuracy of the results depend on the precision and scale of geospatial data which could be increased using the latest satellite data.