Geospatial distribution of landslide susceptibility modeling based on Remote Sensing and Geographic Information System
Year: 2025
Type: article
Abstract: 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.
Authors: Kasye Shitu, Aqil Tariq
Institutions: Mekdela Amba University, Mississippi State University
Language: English
Subfield: Management, Monitoring, Policy and Law
Field: Environmental Science
Domain: Physical Sciences
SDG: Life on land
Open Access status: hybrid
Estimated APC paid: $3,370
OpenAlex ID: W4411461418