Large Scale Soil Erosion Modeling For
A Mountainous Watershed
Author(s)
P. Zhou, J. Nieminen, T. Tokola, O. Luukkanen & T. Oliver
Abstract
Soil erosion control requires a quantitative evaluation of potential soil erosion on
a specific site. The Revised Universal Soil Loss Equation (RUSLE), Remote
Sensing (RS), and Geographic Information System (GIS) were used to model
soil erosion intensity for soil conservation and vegetation rehabilitation in an
Upper Min River (UMR) watershed, which is in the Upper Yangtze River basin.
Data used in this study to generate the soil loss were Landsat Enhanced Thematic
Mapper (ETM) images, Digitized Elevation Model (DEM), soil erodibility,
rainfall erosivity, and inventory data. The non-parametric k-nearest neighbor (k-
NN) method was used to produce the cover management map by integrating the
ETM images and vegetation coverage data measured in the 625 sample plots.
The root mean square errors and significance of biases at pixel level were
evaluated in order to find optimal parameters. Four raster maps have been
produced for the soil erodibility, rainfall erosivity, slope length and steepness,
and cover management factor, and the map with different soil loss risks has been
produced for soil erosion potential. The result can be beneficial to the erosion
control and ecological restoration in the degraded mountainous watershed.
Keywords: soil erosion, RUSLE, DEM, k-NN method, Upper Min River
Watershed.
1 Introduction
Soil erosion is a worldwide environmental problem that degrades soil
productivity and water quality, causes sedimentation and increases the
Keywords
soil erosion, RUSLE, DEM, k-NN method, Upper Min RiverWatershed.
Related Book
Other papers in this volume
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