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《Transactions of the Chinese Society of Agricultural Engineering》 2011-03
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Calculating method of effective area of arable land based on fuzzy and trend prediction model

Zhang zhanlu,Yin xiuyun(School of Public Administration,Renmin University of China,Beijing 100872,China)  
The areas of arable lands in most statistical surveys in China today are not the effective areas of arable lands.It contains the areas of many small land features.This paper presented a mathematic analysys method to compute the effective area of arable lands by deducting the area of small land features from the statistical data on the area of arable lands.The method integrated the relevant remote sensing(RS) and geographic information systems(GIS) technologies with a fuzzy GM(1,1) model and a prediction model.Once the area of non-cultivatable small land features was calculated by the model,the effective area of arable lands was then computed by subtracting the calculated area of those land features from the total area of the arable lands.The method was empirically applied in Shunyi disdtrict,Beijing to test its applicability.The case study results indicated the method was effective with minimum labor,material and financial costs,and can be easily applied to other regions to calculate the effective area of the arable lands.
【Fund】: 教育部“211工程”三期子项目“中国特色的公共管理与公共政策学科平台建设”资助
【CateGory Index】: S29
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