Author: Dr. Suman Verma, Mr. Rahul Chauhan
Abstract: Landslides in mountainous regions present significant threats to human life, infrastructure, and the environment. Accurate identification and zoning of landslide-prone areas are crucial for risk mitigation and sustainable land-use planning. This paper explores the integration of remote sensing technologies and Geographic Information Systems (GIS) for effective landslide hazard zonation in mountainous terrains. Remote sensing provides up-to-date spatial data on topography, land use, and geological features, while GIS enables the integration and analysis of multi-source datasets to assess landslide susceptibility. The study reviews key factors influencing landslide occurrence, including slope, lithology, rainfall, and vegetation, and demonstrates their incorporation into GIS models. Two tables illustrate thematic layers used in landslide zonation and compare different GIS-based methods for hazard assessment. Challenges such as data resolution, temporal variability, and model accuracy are discussed. The paper concludes by highlighting the potential of advanced geospatial technologies to enhance disaster preparedness and land management in vulnerable mountain regions.
Keywords: Landslide hazard zonation, Remote sensing, GIS, Mountainous regions, Susceptibility mapping, Geospatial analysis
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