Author_Institution :
Coll. of Environ. & Planning, Henan Univ., Kaifeng, China
Abstract :
Soil erosion load estimation is one of the key issues in soil erosion research. This paper studies the method and technique of soil erosion load estimation with RS and GIS, after analyzing for effects of landform and vegetation factors on soil erosion, on basis of studying in Xingzigou basin, Shaanxi Province. In order to get property data of landform, DEM was used, which generates gradient, slope aspect, relative elevation, etc.. In terms of collecting data of vegetation coverage, we have analyzed indicating function of vegetation type, which affects change in land cover with techniques of RS and others. With RUSLE, spatial variation of soil erosion modulus has been simulated, and calculated total load of soil erosion in small basin, which is significance both in theory and practice.
Keywords :
erosion; geographic information systems; DEM; GIS; RS; RUSLE; Shaanxi province; Xingzigou basin; soil erosion load evaluation; spatial variation; vegetation factors; Agricultural engineering; Educational institutions; Geographic Information Systems; Global Positioning System; Image analysis; Remote sensing; Satellites; Soil; Tin; Vegetation mapping; DEM; Index of vegetation; Soil erosion load;