Authors : Prof. Neha Bansal, Vikram Deshmukh
Abstract : Expansive soils pose significant challenges in geotechnical engineering due to their tendency to undergo large volume changes with moisture variations. Early and accurate detection of expansive soils is essential to prevent structural failures and reduce maintenance costs. Hyperspectral remote sensing (HRS) offers a non-invasive, high-resolution approach to identify expansive soil characteristics based on their unique spectral signatures. This paper explores the principles of hyperspectral sensing, data acquisition platforms, and analysis methods for expansive soil detection. It discusses laboratory spectral analysis, field validation, and satellite-based hyperspectral imaging for mapping clay mineral content. Key challenges such as spectral mixing, atmospheric interference, and calibration requirements are addressed, along with strategies for integrating HRS data with Geographic Information Systems (GIS) and geotechnical field surveys. The paper emphasizes how hyperspectral imaging can revolutionize soil classification and hazard assessment in infrastructure planning.
Keywords : Hyperspectral remote sensing, Expansive soils, Clay minerals, Geotechnical hazards, Soil classification, Spectral analysis, GIS integration
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