title: Using high-resolution radar images to determine vegetation cover for soil erosion assessments.
abstract: 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.
authors.affiliation: Institute of Environmental Planning, Herrenhäuser Str. 2, Gottfried Wilhelm Leibniz Universität Hannover, 30419 Hannover, Germany. bargiel@umwelt.uni-hannover.de
authors.forename: D
authors.initials: D
authors.lastname: Bargiel
authors.forename: S
authors.initials: S
authors.lastname: Herrmann
authors.forename: J
authors.initials: J
authors.lastname: Jadczyszyn
mesh_terms: D000383:Agriculture; D003247:Conservation of Natural Resources / Q000379:methods*; D040362:Geographic Information Systems; D010944:Plants; D011825:Radar; D011891:Rain; D012987:Soil
chemical_list: D012987:Soil