Authors: Dr. Kavita Menon, Arjun Verma
Abstract: LiDAR (Light Detection and Ranging) technology has revolutionized geospatial data acquisition, offering high-precision elevation models essential for slope stability analysis. This paper examines the role of LiDAR in assessing terrain morphology, detecting instability indicators, and supporting geotechnical decision-making. Through integration with GIS, LiDAR-derived Digital Elevation Models (DEMs) enable accurate slope gradient, aspect, and curvature analysis, which are critical for identifying landslide prone regions. The methodology section highlights data collection, preprocessing, and application in stability modeling. Comparative assessments with conventional survey methods show LiDAR’s superior accuracy and efficiency, particularly in inaccessible terrains. The study concludes that LiDAR-based analysis not only improves hazard mapping but also supports proactive slope stabilization measures, contributing to disaster risk reduction in geotechnically sensitive areas.
Keywords: LiDAR, Slope Stability, Digital Elevation Model, GIS, Landslide Risk Assessment, Terrain Analysis
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