Dynamic Changes Of Soil And Water Erosion Base On 3S Technology

Soil and water loss is an important factor causing soil functional degradation,which will cause serious damage to the natural ecological environment and play a key role in the sustainable development of human beings.China is one of the countries with the most serious soil erosion in the world.Soil and water resources are the basis of urban development and the material basis of rapid urban development.In the process of monitoring soil and water loss in a certain region in the past,remote sensing monitoring is rarely adopted,and the vast majority of the use of image for ordinary aerial photo and the orthogonal projection like figure,unable to realize the land use and vegetation data such as rapid access,therefore,it is necessary to provide a feasible scheme for rapid monitoring of soil erosion and its changes.In this paper,"3S"(short for RS,GIS and GPS)technology was used to study soil and water loss in mozitan reservoir basin of lu'an city,anhui province.Landsat TM/ETM data was used as the information source.According to the spatial analysis function of geographic information system technology and according to the water conservancy industry standard for classification and classification of soil and water loss(SL 190-2007),the superposition analysis was used to study soil and water loss in mozitan reservoir basin.The main research contents are as follows:(1)Aiming at the shortcomings of low efficiency of soil erosion monitoring in the past,this paper proposes a three-factor rapid soil and water loss evaluation model.In the process of land use extraction,each band of remote sensing image is used to reflect different ground objects differently,and the image band combination recognition algorithm is used to realize the classification and recognition of land use.Compared with the traditional interpretation method,the accuracy can be guaranteed and a lot of time can be saved.The traditional NDVI FVC factor extraction was improved by binary pixel model to reduce the interference to the accuracy of final soil and water loss data.The third order inverse distance square weight difference algorithm is used to extract slope from DEM data,which greatly reduces the probability of outliers.The three-factor model can monitor soil erosion quickly and ensure the accuracy of monitoring results.(2)In order to improve the accuracy of soil and water loss monitoring,and to explore the drive of grind tam reservoir basin soil erosion factors,the three factors of soil and water loss evaluation model,based on the papers use simple annual rainfall erosion force R value algorithm and the improved EPIC algorithm to extract the precipitation and soil factors,five factors of soil and water loss evaluation model is put forward.Through the five-factor model,the dynamic change of soil and water loss and the driving factors affecting soil and water loss in the study area were analyzed,and the effects of forest land,middle cover and above area,rainfall erosion force factor and soil erodibility factor on soil and water loss were fully understood,which provided more comprehensive data for the improvement plan of the study area.