Authors : Dr. Meera Joshi, Arjun Desai
Abstract : Earthquake-induced landslides are among the most devastating secondary hazards triggered by seismic events, often resulting in widespread damage to infrastructure, loss of life, and long-term environmental impacts. Rapid, accurate, and large-scale mapping of such landslides is critical for effective disaster response and risk reduction. Remote sensing technologies—including optical imagery, Synthetic Aperture Radar (SAR), and LiDAR—have emerged as indispensable tools in post-earthquake landslide detection and analysis. This paper explores the principles, methodologies, and integration of these techniques, supported by case studies from recent major earthquakes such as the 2015 Nepal Gorkha earthquake and the 2008 Wenchuan earthquake in China. The study highlights the role of Geographic Information Systems (GIS) in combining multi source data for susceptibility mapping, hazard assessment, and recovery planning. Furthermore, it evaluates the advantages and limitations of each remote sensing method, underscoring the need for hybrid approaches and automated detection algorithms to meet the growing demands of disaster management in seismically active regions.
Keywords: Earthquake-induced landslides, Remote sensing, SAR, LiDAR, Optical imagery, GIS mapping, Hazard assessment
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