An optimized method for extracting slope length in RUSLE from raster digital elevation

• Published in: Catena (Giessen) Vol. 209; p. 105818
• Main Authors: Dong, Liang, Ge, Chenyu, Zhang, Hongming, Liu, Zihan, Yang, Qinke, Jin, Bei, Ritsema, Coen J., Geissen, Violette
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.02.2022
• Subjects: GIS; RUSLE; Slope Length; Soil erosion; Terrain analysis; GIS; RUSLE; Soil erosion; Terrain analysis; Slope Length
• ISSN: 0341-8162; 1872-6887
• DOI: 10.1016/j.catena.2021.105818

•The theoretical model of slope length was optimized.•ITF method was proposed for extracting slope length.•Uphill slope line was calculated by up_iGD8 avoiding the interpolation.•ITF method had the smallest error in verification (average RRMSE = 0.0573).•Outputs were more consistent with the terrain in spatial pattern. The Universal Soil Loss Equation (USLE) and the Revised Universal Soil Loss Equation (RUSLE) have been widely used for predicting average soil loss. Slope length is an important topographical parameter of the L factor in USLE/RUSLE. Among the widely studied GIS procedures for extracting slope length, the distributed watershed erosion slope length (DWESL) based on the unit contributing area estimation method, which considers two-dimensional runoff process and cutoff factors, is a relatively complete model for calculating slope length. Slope length in the DWESL model is primarily calculated using conventional flow direction algorithms such as D8, Dinf, MS and MFD-md. However, DWESL outputs require further improvement due to the errors in the usual estimates of the uphill contributing area and the effective contour length of discrete elements. Combined with a theoretical differential equation of specific catchment area on hillsides, the calculation of the DWESL model was optimized without estimating the uphill contributing area or the effective contour length for each cell. The proposed integration method based on the topographical features slope line, contour curvature and cutoff factors (ITF method) was used to extract slope length from the raster digital elevation. Slope length extracted using the ITF method had the smallest error in verification of mathematical surfaces (average RRMSE  = 0.0573), and its spatial distribution was more consistent with the structure of the terrain surface for all test data, relative to the conventional flow direction algorithms in the original DWESL model. The proposed ITF method could provide a reference for predicting soil erosion using the USLE/RUSLE model.