Author: Dr. Kavita Sharma, Mr. Rohit Mehta
Abstract: Earthquake-prone regions require precise geotechnical risk mapping to mitigate potential hazards effectively. This paper explores the integration of remote sensing data with Geographic Information Systems (GIS) to develop geotechnical risk maps that can identify vulnerable zones prone to seismic hazards. Satellite imagery, digital elevation models (DEMs), and radar data provide essential information about soil types, fault lines, landforms, and surface deformation. By combining these datasets with historical earthquake records and geological surveys, a comprehensive risk model is developed. The study emphasizes the use of multispectral remote sensing for land use classification, Interferometric Synthetic Aperture Radar (InSAR) for detecting ground displacement, and GIS for overlay analysis. A tabulated summary outlines key parameters influencing seismic risk. Limitations of remote sensing data, such as spatial resolution and temporal gaps, are discussed. The results highlight how remote sensing enhances traditional geotechnical assessments and supports disaster preparedness and planning in earthquake-sensitive areas.
Keywords: Geotechnical Risk, Earthquake-Prone Areas, Remote Sensing, GIS, InSAR, Digital Elevation Model, Seismic Hazard Mapping
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