Landslides are among the most significant geomorphological hazards in the mountainous regions of Iran, influenced by various environmental and tectonic factors. Accurate identification of susceptible areas and assessment of triggering factors such as earthquakes are essential steps in landslide risk management. Given the importance of this issue, the present study aims to identify landslide-prone areas in the southern parts of Sarab County, taking into account the impact of the 2019 Torkmanchay earthquake. To achieve this, a combination of remote sensing data and multi-criteria decision-making models was used. The primary datasets included Sentinel-1 radar imagery, a 1:100,000 scale geological map, and a 12.5-meter resolution Digital Elevation Model (ALOS PALSAR). Radar interferometry analysis was performed using GMT software, OWA modeling was conducted in the TerrSet environment, ANP analysis was implemented in SuperDecisions, and spatial data processing was carried out using ArcGIS. The results indicate that the southern regions of Sarab County, particularly the central areas, possess a high potential for landslide occurrence due to geomorphological characteristics such as steep slopes and fluvial erosion. Furthermore, tectonic factors especially the Torkmanchay earthquake have caused ground displacements ranging from -19 to -83 mm within the study area, significantly contributing to slope instability. Overlay analysis of displacement maps with landslide hazard zoning maps revealed that the highest displacements occurred in zones with high to very high landslide potential. This overlap highlights the strong interaction between tectonic and environmental factors in intensifying landslide hazards in the study area.This overlap highlights the strong interaction between tectonic and environmental factors in intensifying landslide hazards in the study area.