Abstract ID: 3.14850 | Accepted as Talk | Talk/Oral | TBA | TBA

Landslides1 are a major hazard in mountainous regions, causing infrastructure damage, economic losses, and fatalities. Existing studies emphasize the need for accurate landslide susceptibility assessment, but many lack comprehensive multi-scale modeling approaches that integrate both local and regional influencing factors. This research bridges this gap by employing geospatial techniques for systematic monitoring, assessment, and hazard analysis in Neelum, Muzaffarabad, Bagh, and Poonch districts of AJK, Pakistan. This study utilizes GIS-based spatial analysis and remote sensing datasets to assess landslide-prone areas while incorporating multi-scale modeling techniques for risk assessment. Analytical Hierarchy Process (AHP) and weighted overlay analysis are used to quantify the impact of geological, hydrological, and topographic parameters. The research also focused on rainwater harvesting as a mitigation strategy to reduce slope instability caused by excessive surface runoff. The methodology involves processing DEM, geological maps, fault lines, rainfall data, Sentinel-2 imagery, and landslide inventory based on historical data and on-ground surveys of landslide areas to develop a robust assessment framework. By integrating high-resolution terrain data with historical landslide occurrences, the study enhances predictive accuracy and ensures a detailed spatial understanding of risk factors. The final landslide susceptibility map is generated through weighted overlay analysis, offering a reliable tool for hazard identification and risk management. Findings indicate that steep slopes, weak geological formations, and high drainage density significantly contribute to landslide occurrence, particularly in highly fragmented landscapes. Rainwater harvesting is identified as a sustainable intervention to minimize surface runoff and enhance slope stability in vulnerable regions. The study aligns with SDG 11 (Sustainable Cities and Communities) and SDG 13 (Climate Action) by promoting disaster risk reduction and sustainable land-use planning while supporting resilient infrastructure development.