Institute of Environmental Planning, Herrenhäuser Str. 2, Gottfried Wilhelm Leibniz Universität Hannover, 30419 Hannover, Germany.
J Environ Manage. 2013 Jul 30;124:82-90. doi: 10.1016/j.jenvman.2013.03.049. Epub 2013 May 1.
Healthy soils are crucial for human well-being. Because soils are threatened worldwide, politicians recognize the need for soil protection. For example, the European Commission has launched the Thematic Strategy for Soil Protection, which requests the European member states to identify high risk areas for soil degradation. Most states use the Universal Soil Loss Equation (USLE) to assess soil erosion risk at the national scale. The USLE includes different factors, one of them is the vegetation cover and management factor (C factor). Modern satellite-based radar sensors now provide highly accurate vegetation cover data, enabling opportunities to improve the accuracy of the C factor. The presented study proves the suitability for C factor determination based on a multi-temporal classification of high-resolution radar images. Further USLE factors were derived from existing data sources (meteorological data, soil maps, digital elevation model) to conduct an USLE-based soil erosion assessment. The resulting map illustrates a qualitative assessment for soil erosion risk within a plot of about 7*12 km in an agricultural region in Poland that is very susceptible to soil erosion processes. A high erosion risk of more than 10 tonnes per ha and year was assessed to occur on 13.6% (646 ha) of the agricultural areas within the investigated plot. Further 7.8% (372 ha) of agricultural land is threaten by a medium risk of 5-10 tonnes per ha and year. Such a spatial information about areas of high or medium soil erosion risk are crucial for the development of strategies for the protection of soils.
健康的土壤对人类福祉至关重要。由于土壤在全球范围内受到威胁,政治家们认识到保护土壤的必要性。例如,欧盟委员会已经启动了土壤保护专题战略,要求欧盟成员国确定土壤退化的高风险地区。大多数国家使用通用土壤流失方程(USLE)来评估国家尺度的土壤侵蚀风险。USLE 包括不同的因素,其中之一是植被覆盖和管理因素(C 因素)。现代基于卫星的雷达传感器现在提供高精度的植被覆盖数据,为提高 C 因素的准确性提供了机会。本研究证明了基于高分辨率雷达图像多时相分类来确定 C 因素的适用性。进一步的 USLE 因素是从现有数据源(气象数据、土壤图、数字高程模型)中得出的,以进行基于 USLE 的土壤侵蚀评估。生成的地图说明了波兰一个农业地区约 7*12 公里范围内土壤侵蚀风险的定性评估,该地区非常容易受到土壤侵蚀过程的影响。评估结果显示,在研究区域内约 13.6%(646 公顷)的农业区域存在超过 10 吨/公顷和年的高侵蚀风险。另外 7.8%(372 公顷)的农业用地受到 5-10 吨/公顷和年的中度侵蚀风险的威胁。这种关于高或中土壤侵蚀风险区域的空间信息对于制定土壤保护策略至关重要。