Significant advance in the application of remote sensing and geographic information system (GIS) to assessing and solving soil and water conservation problems have been taken place over the last 10 years. This paper describes the procedures employed to integrate remote sensing and GIS techniques in an effort to characterize the spatial distribution of the risk of soil erosion by water on Latakia district, Syria. The universal soil loss equation (USLE) is used to calculate the annual soil loss rates for Latakia soils. Mainly, remote sensing data, soil survey, land use inventory, elevation data and climatic atlases are used as a resource data sets to generate USLE factor values. Integration of these data sets resulting in a map of polygons with unique combinations of USLE factor values.
soil erosionuniversal soil loss equationgeographic information systemremote sensing
NETL
NSTL
万方数据
维普
