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At present, the research trends and hotspots of regional soil erosion are related to efficiently accessing a large amount of soil erosion factors raster data, quickly calculating and publishing the date of soil erosion intensity. To solve these problem, a GIS was constructed, which consisted of the distributed storage of soil erosion factor raster data, the parallel computing program to calculate soil erosion intensity and the quickly publishing program of soil erosion intensity, based on the latest open source project called Hadoop. Then an experiment of calculating the DaLing River Basin’s soil erosion intensity was taken through the system. The result showed that initially the system can much effectively calculate DaLing River Basin’s soil erosion intensity from a large amount of soil erosion factors raster data. Furthermore, the system can fulfill the requirement of regional soil erosion intensity prediction and forecast. Additionally, in the process of running the program, the localization effect of the calculation task was very obvious, the network transmission pressure in the calculation process was significantly reduced, the network usage rate was maintained at about 22%, and the system performance can be further improved by adding computing nodes. Finally, the studies can provide guidance for GIS design and development of regional soil erosion intensity calculating and publishing with a large amount of highresolution raster data, and provide scientific basis for soil erosion monitoring in DaLing River Basin.