Improved Prediction and Reduction of Sampling Density for Soil Salinity by Different Geostatistical MethodsOA
Improved Prediction and Reduction of Sampling Density for Soil Salinity by Different Geostatistical Methods
The spatial estimation for soil properties was improved and sampling intensities also decreased in terms of incorporated auxiliary data. In this study, kriging and two interpolation methods were proven well to estimate auxili…查看全部>>
The spatial estimation for soil properties was improved and sampling intensities also decreased in terms of incorporated auxiliary data. In this study, kriging and two interpolation methods were proven well to estimate auxiliary variables:cokriging and regression-kriging, and using the salinity data from the first two stages as auxiliary variables, the methods both improved the interpolation of soil salinity in coastal saline land. The prediction accuracy of…查看全部>>
LI Yan;SHI Zhou;WU Ci-fang;LI Hong-yi;LI Feng
Institute of Land Science and Property Management, College of Southeast Land Management, Zhejiang University, Hangzhou 310029,P.R. ChinaInstitute of Agricultural Remote Sensing and Information Technology Application, College of Environmental and Resource Sciences,Zhejiang University,Hangzhou 310029,P.R.ChinaInstitute of Agricultural Remote Sensing and Information Technology Application, College of Environmental and Resource Sciences,Zhejiang University, Hangzhou 310029, P.R. ChinaInstitute of Land Science and Property Management, College of Southeast Land Management, Zhejiang University, Hangzhou 310029,P.R. ChinaInstitute of Agricultural Remote Sensing and Information Technology Application, College of Environmental and Resource Sciences,Zhejiang University, Hangzhou 310029, P.R. China
农业科学
auxiliary dataprediction precisionsampling densitysoil salinitykriging
auxiliary dataprediction precisionsampling densitysoil salinitykriging
《中国农业科学（英文版）》 2007 (7)
土壤空间变异与景观模型支持下的土壤遥感解译技术研究
832-841,10
This project was supported by the National Natural Science Foundation of China (40571066, 40001008), the Postdoctoral Science Foundation of China (20060401048),and the Key Program of Science and Technology Bureau of Zhejiang Province, China (J30523).
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