Authors: Priya Kaur, Varun Sharma
Abstract: Soil erosion and sediment transport are significant environmental concerns that affect land productivity, water quality, and ecosystem health. The advancement of remote sensing technologies offers a powerful approach to assess and monitor these processes on a large scale. This paper explores various remote sensing methods, including satellite imagery, LiDAR, Synthetic Aperture Radar (SAR), and Unmanned Aerial Vehicles (UAVs), and their application in soil erosion and sediment transport studies. The discussion covers the strengths and limitations of these technologies, challenges in data resolution, integration, and interpretation, and future directions in real-time monitoring and data fusion. The integration of remote sensing data with hydrological and climate models is also highlighted as a means to enhance the accuracy and predictive capability of soil erosion assessments.
Keywords: Remote Sensing, Soil Erosion, Sediment Transport, LiDAR, Synthetic Aperture Radar (SAR), Unmanned Aerial Vehicles (UAVs), NDVI, Data Integration
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