Authors : Dr. Ananya Mehta, Er. Rahul Singh
Abstract : Urban growth significantly influences both land use patterns and soil quality. Accurate assessment of these changes is critical for sustainable planning. This paper explores the integration of multi-sensor remote sensing data for simultaneous urban land use classification and soil quality monitoring. By combining high-resolution optical imagery, hyperspectral data, and Synthetic Aperture Radar (SAR), the study achieves improved accuracy in detecting built up areas, vegetation cover, and soil degradation indicators. Techniques such as supervised classification, spectral unmixing, and backscatter analysis are discussed. A case study of Jaipur City demonstrates the potential of this approach to guide urban planners, environmental agencies, and policy makers. The findings highlight that multi-sensor fusion offers a cost-effective and reliable solution for large-scale, periodic monitoring of urban environments.
Keywords : Multi-sensor remote sensing, Urban land use, Soil quality assessment, SAR, Hyperspectral imaging
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