Potential soil erosion map per plot (2023)

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Dataset information

Country of origin
Updated
2023.02.09 00:00
Created
2023.01.24
Available languages
French
Keywords
DOV, Databank Ondergrond Vlaanderen, Departement Omgeving, Ondergrond, Vlaanderen
Quality scoring
260

Dataset description

The potential soil erosion map per parcel (2023) shows the total potential erosion of a particular agricultural parcel based on a class classification. The total potential erosion does not take into account the current land use (grassland or arable land). The single application erosion sensitivity field contains the information corresponding to the erosion sensitivity on the single application 2023. The approved objections were processed both in the single application erosion sensitivity field and in the field ‘Total erosion’. The approved applications for the reduction of the erosion sensitivity class based on a high carbon content were processed in the single application erosion sensitivity field indicating “/C” behind erosion sensitivity, but the field “Total erosion” retained its original value for these parcels. Erosion by water is a process in which soil particles are loosened and transported by the impact of raindrops and flowing water, either lowly over a large surface, or concentrated in channels and ravines. This leads, among other things, to a decrease in soil quality and productivity, but also to significant damage caused by mud nuisance in downstream (residential) areas. Soil erosion is one of the most important forms of soil degradation in Flanders. The potential soil erosion map per parcel is based on the 2022 parcel map. The potential soil erosion map per plot was drawn up by computer modelling with a spatial resolution of 5x5 m. The calculation of erosion is based on the revised universal soil loss equation or R.U.S.L.E. (Revised Universal Soil Loss Equation, Renard et al, 1991). It is an empirical model that calculates the average annual soil erosion rate per unit area due to intergeal and geulerosion as a product of 6 factors.
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