摘要
针对传统的新增农用地质量等别评价方法存在周期长、数据采集难、重复性工作量大和土壤熟化周期长等问题,基于空间相关性理论,采用空间插值的方法,以新增农用地自然等别为评价对象,对农用地等别快速评价方法进行研究。并以江苏省宝应县为研究区,选取21个新增农用地等别图斑预测,采用普通克里格法对该研究区60个耕地分等单元的227个采样点进行地统计插值实例分析,对新增农用地自然等别进行预测。结果表明:在21个新增农用地图斑中,有17个图斑等别预测值与真实测量值一致,预测结果精度为81%。因此,该方法为我国农用地等别的动态监测和新增农用地等别快速评价提供了一种方法和科学依据。
Because of cultivated land grading exist cycle long, data acquisition difficult and work repetitive etc. so, studying the cultivated land grading of fast evaluation has the vital significance. The article, which base on the spatial correlation theory., using the spatial interpolation method, with the numerical data of cultivated land gradation for research object, carryed on the fast evaluation method of the cultivated land. Finally in Jiangsu Province as the research area in Boying county, the 227 sample points of cultivated land were used, with the statistical interpolation case analysis to get predicting comprehensive grading value of estimated. Through the existing data and experiment showed that the cultivated land value unknown get with the measured error within permitted with the space interpolation method. Among them the radial basis function method has the highest precision. Therefore, the method can be used to the dynamic monitoring for cultivated land level and to offer the reference and the scientific basis for the cultivated land grading of fast evaluation.
出处
《沈阳农业大学学报》
CAS
CSCD
北大核心
2013年第3期278-283,共6页
Journal of Shenyang Agricultural University
基金
国土资源部公益性行业科研项目(201011006)
关键词
耕地
新增农用地
等别预测
空间插值
快速评价
宝应县
cu^i~ated land
additional agricultural land
rating predict
spatial interpolation
fast evaluation
boying county