It is crucial to forecast disaster because the intervals between them should be as long as possible to minimize their negative impacts. The focus of this study is to obtain a precise prediction of landslides by using the weighted overlay method in ArcGIS software for Thrissur district in Kerala state of India. The factors investigated to prepare landslide susceptibility maps are aspect, elevation, hillshades, rainfall, land use/cover, distance from roadway network, distance from river, slope, and roughness. These ten factors have been used to build susceptibility maps for Trissur district using secondary data fed into ArcGIS. Shape files are modeled to get line plans of susceptibility zones that are then reclassified and resampled. Eventually, the most affected zones by the landslides may be identified by the weighted overlay method. The effectiveness of the approach in predicting landslide-prone locations is presented in the result section. The GIS approach is crucial in the identification of the disaster-prone areas for land use and disaster preparedness.