Geospatial distribution of landslide susceptibility modeling based on Remote Sensing and Geographic Information System

Landslides are an abrupt and highly harmful natural disaster in Ethiopia. So, this research focused on the geospatial distribution modeling of landslide risk areas in the Eastern Part of the Amhara Region. The study considered fifteen landslide aggravating factors: slope, elevation, aspect, curvature, TWI, SPI, river distance, town distance, road distance, rainfall, lineament density, drainage density, lithology, soil, and land use land cover for Landslide Numerical Risk Factor (LNRF) and Analytic hierarchy process (AHP) model generation. From LNFR and AHP model results, around 11.74 % and 13.94% of the area under investigation was found under very high landslide and 8.79 % and 12.18 % under very low landslide severity levels, respectively. The Receiver Operating Characteristics (ROC) curve was implemented to measure the performance of the two models and obtained good predictive values of 70.23% and 64.47% accuracy, respectively. Valued information for planners, policymakers, and engineers can be obtained from LNRF and AHP about landslide events for any project planning and development in the study area. • Geospatial distribution of landslide susceptibility in the eastern part of the Amhara region, • Landslide vulnerability map was created from LNRF and AHP model, • Around 65% of the study area found moderate to very high levels of landslide risks and, • Areas with little annual rainfall were classified under low to moderate landslide hazard severity level in the area