Study Of The Relationship Between Regional Landscape Patterns And Soil Erosion Based On RS And Gis

Soil erosion is one of the main threats in productive croplands and vegetation growth, but also a issue which can not be ignored is in the regional sustainable development. Loess Plateau, including typical hills and gullies topography, the terrain of which is fragmented, is the area of the most serious soil and water loss in the world. Loess Plateau Shaanxi Province located in the midstream of Yellow River is a pilot area from the"Grain for Green"Project in China.Since 1998, closing hillsides and grazing, and returning farmland to forest could have proved that forestry ecological construction of this area had made considerable progress. However, how about effects of soil erosion control lack any systematic quantitative study, in addition, there has large deviations between predicted and experimental results, which seriously affected the evaluation of the project benefits. In view of this, the paper combining RS and GIS, with Revised Universal Soil Loss Equation(RUSLE), calculated soil erosion modulus of Loess Plateau Shaanxi Province in 2000. Choosing 55 urban areas and counties as test samples, modeling the relationship between landscape indices and soil erosion modulus, the paper attempted to predict soil erosion in a middle scale, and provided a scientific basis for soil and water conservation and ecological restoration work in Loess Plateau. The results of this paper are: (1)The northern study area has flat terrain, good natural conditions, and soil erosion modulus is lower. The average largest loss modulus regions were located in the southwest, the ecological conditions of Baoji county was relatively poor; (2)Landscape indices of land use in study area can better reflect the situation of soil erosion, and open up new ways for soil erosion prediction; (3)GIS-desktop database system was established, based on C~# language and ArcGIS Engine component, including graphics database and property database, meanwhile, the unified storage of land use data resources was achieved, that has a very good grasp of land use and soil erosion in the study area.