Pengzhi Xia
Hefei University, Hefei 230000, Anhui, China.
*Corresponding author:Pengzhi Xia
Abstract
Soil erosion, as a global environmental issue, seriously threatens ecological security and sustainable agricultural development. Remote sensing technology, with its advantages of macroscopic, dynamic, and rapid monitoring capabilities, provides new technical means for soil erosion research. This study constructs an improved Universal Soil Loss Equation model through multi-source remote sensing data acquisition, preprocessing, and feature extraction, quantitatively analyzing the impact of topographic factors and vegetation coverage on soil erosion. Based on long time-series remote sensing data, dynamic monitoring of soil erosion at regional scales has been achieved, establishing a spatiotemporal change assessment system for soil erosion. Case analysis demonstrates that this method can effectively identify erosion-sensitive areas and quantitatively evaluate the effectiveness of prevention and control measures. The research results provide a scientific basis for regional soil conservation planning and soil erosion prevention, having significant importance for promoting soil and water conservation and environmental protection.
References
[1] Wang J, Yang J, Li Z, et al. Research on soil erosion based on remote sensing technology: a review. Agriculture. 2024;15(1):18.
[2] Zhang Y. Research on integrated application of soil and groundwater monitoring data in environmental protection and resource management. Leather Making and Environmental Protection Technology. 2024;5(21):84-6.
[3] Cheng Z. Application of remote sensing technology in ecological environment monitoring under dual carbon goals. Leather Making and Environmental Protection Technology. 2024;5(19):49-51.
[4] Roy KS, Mondal C, Karim M, et al. Utilizing GIS and remote sensing for soil loss estimation in Kopai River basin: an application of the RUSLE model. Proceedings of the Indian National Science Academy. 2024;90(4):943-55.
[5] Ji C, Cao Y, Li X, et al. A review of the satellite remote sensing techniques for assessment of runoff and sediment in soil erosion. Journal of Hydrology and Hydromechanics. 2024;72(2):252-67.
[6] Pal A, Kumar M, Survanshi S, et al. Soil erosion assessment using the RUSLE model and geospatial techniques (remote sensing and GIS) in Kalyani River Watershed of Uttar Pradesh, India. Asian Journal of Agricultural Extension, Economics & Sociology. 2025;43(1):154-67.
[7] Gammoudi A, Guesmi H, Tebini A, et al. Soil degradation risk prediction in an arid region (Northern Tataouine, Tunisia): using an empirical model coupling with remote sensing and GIS. Environmental Research Communications. 2025;7(1):015019.
[8] Nils O, Anette E, Goswin H, et al. Monitoring soil surface roughness under growing winter wheat with low-altitude UAV sensing: potential and limitations. Earth Surface Processes and Landforms. 2020;45(14):3747-59.
Copyright
© 2025 by the author(s).
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND) license, which permits non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited and is not modified or adapted.
https://creativecommons.org/licenses/by-nc-nd/4.0/
How to cite this paper
Monitoring and Assessment Methods of Soil Erosion Based on Remote Sensing Technology
How to cite this paper: Pengzhi Xia. (2025) Monitoring and Assessment Methods of Soil Erosion Based on Remote Sensing Technology. OAJRC Environmental Science, 6(1), 14-18.
DOI: http://dx.doi.org/10.26855/oajrces.2025.06.002