Journal of Remote Sensing, Environmental Science & Geotechnical Engineering ISSN: 3107-7366 (Online)

Authors : Dr. Ananya Verma, Rajesh Kumar

ABSTRACT : Remote sensing and Geographic Information Systems (GIS) have emerged as powerful tools in the assessment and mapping of landslide susceptibility zones, offering rapid, cost-effective, and reliable spatial analysis. This paper explores the integration of satellite imagery, terrain modeling, and GIS-based multi-criteria analysis to identify vulnerable regions prone to landslides. By combining environmental factors such as slope, lithology, land use, and precipitation patterns, remote sensing and GIS enable the creation of high-accuracy susceptibility maps. Case studies from Himalayan and Western Ghats regions highlight the potential of these technologies in disaster risk reduction, urban planning, and sustainable infrastructure development. The findings underscore the need for continuous data updates, advanced image processing techniques, and community-based validation to enhance prediction accuracy and practical applicability in geotechnical engineering contexts.

Keywords: Remote Sensing, GIS, Landslide Susceptibility, Terrain Analysis, Geotechnical Engineering, Disaster Risk Reduction