Region Assessment of Soil Erosion Based on Naive Bayes

Since soil erosion is a serious environmental problem, regional-scale soil erosion assessment is important. However, it is limited by the development of soil erosion mode by far. This paper presents a region- scaled soil erosion qualitative evaluation model based on naive Bayes. Firstly, the model takes the E´Dong Mountain as case study area, chooses the four factor indexes affected erosion intensity, and then calculates the naive Bayes probability of each index of soil erosion based on the observed plot sample data. Secondly, the model abstracts affected factors parameters of soil erosion by RS(Remote Sensing) and GIS(Geography Information System) in study region. Finally, the erosion intensity of region is classified into six classes in terms of the naive Bayes probability: extreme, very high, high, moderate, low, very low. Therefore, the model provides a new method for assessing the soil erosion in regional scale.