| Since the industrial revolution, with the rapid development of social economy, the urbanization speeding up, the interaction relationship between person and earth is increasing closely. Soil erosion has become one of the top ten environmental problems facing today’s human. With the development of computer science, the advantages of remote sensing technology in soil erosion monitoring are growing. This paper using SPOT-5 remote sensing image as the main data source. Classify and evaluate the soil erosion situation of Yongchun in 2011 is on the basis of the combination with relevant field data and geographic data. In this paper, the main research contents include:(1)The extraction of land use factors. Land use is the Comprehensive embodiment of social attribute and the nature attribute of land resources; Land use is also an important reference index of soil erosion. The extraction of land use factors mainly adopts the high-resolution image data, Effect of soil erosion of Yongchun appropriate merge and classification.(2) Vegetation fraction estimation. Vegetation coverage is refers to the unit area of vegetation vertical projection area percentage, is one of the important indicators to measure the ecological environment, is also the important indicator light of the early warning of ecological security status, and one of the main factors of quantitative judgment of soil erosion intensity. Paper through the analysis of SPOT-5 images based remote sensing image bands, introduces ITTO(International Tropical Timber Organization) proposed by FCD(Forest canopy density) model. This model is the application and popularization of less in China. This research of the application of compound vegetation index VBSI is constructed on the basis of FCD model. Papers detailed comparative on the vegetation index NDVI and VBSI. The study found that the relative difference ratio of the 12 sample points zone adjacent to mountain sunny slope and Schattenseite are stable at around 2.0, through the analysis of the further research of the sample points data, found that using VBSI vegetation coverage estimation, shadow in the image information of interference can be cut to 49.4% of NDVI. Then estimate the vegetation coverage on the basis of dimidiate pixel model.(3) The extraction of slope factor. Slope is one of the most important topographic factors reflect the surface form, and also one of the key elements of water and soil erosion intensity. The Classification of slope grade in the paper is referred from the slope grading standard in soil water erosion of "Standard of Soil Erosion Classification"(SL190-2007), which is divided into six levels. After the calculation of slope, it is concluded that Yongchun slope classification diagram.(4) Using multi-factor overlay analysis according to the grade of soil erosion classification standard. In which the soil is divided into no loss or micro degree of erosion, loss of land and farmland, and allocate the code. Slope is divided into six levels. And then classify the vegetation coverage from low to high grade. Apply logical judgment to slope, land types, vegetation coverage by building Surface Erosion Classification Model to analyze the influence degree of each classification. Finally it came to the intensity scale of soil erosion. |
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