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| Optimised Spatial Sampling Scheme for Soil Electriclal Conductivity Based on Variance Quad-Tree （VQT） Method | |
| 作者单位： | LI Yan（Institute of Land Science and Property Management,College of Southeast Land Management,Zhejiang Univerkity,Hangzhou 310029,P.R.China;Institute of Agricultural Remote Sensing and Information Technology Application,College of Environmental and Resource Sciences,Zhejiang University,Hangzhou 310029,P.R.China） ; SHI Zhou（Institute of Agricultural Remote Sensing and Information Technology Application,College of Environmental and Resource Sciences,Zhejiang University,Hangzhou 310029,P.R.China） ; WU Ci-fang（Institute of Land Science and Property Management,College of Southeast Land Management,Zhejiang Univerkity,Hangzhou 310029,P.R.China） ; LI Feng（Department of Environmental Engineering,Zhejiang University,Hangzhou 310029,P.R.China） ; LI Hong-yi（Institute of Agricultural Remote Sensing and Information Technology Application,College of Environmental and Resource Sciences,Zhejiang University,Hangzhou 310029,P.R.China） ; |
| 基金项目： | 国家自然科学基金;国家博士后科学基金 |
| 摘 要： | |
| 关 键 词： | 抽样方法 空间 可变性 精密度 |
| 收稿时间： | 28 March 2007 |
Optimised Spatial Sampling Scheme for Soil Electriclal Conductivity Based on Variance Quad-Tree (VQT) Method |
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| Authors: | LI Yan SHI Zhou WU Ci-fang LI Feng LI Hong-yi |
| Institution: | 1. Institute of Land Science and Property Management,College of Southeast Land Management,Zhejiang Univerkity,Hangzhou 310029,P.R.China;Institute of Agricultural Remote Sensing and Information Technology Application,College of Environmental and Resource Sciences,Zhejiang University,Hangzhou 310029,P.R.China 2. Institute of Agricultural Remote Sensing and Information Technology Application,College of Environmental and Resource Sciences,Zhejiang University,Hangzhou 310029,P.R.China 3. Institute of Land Science and Property Management,College of Southeast Land Management,Zhejiang Univerkity,Hangzhou 310029,P.R.China 4. Department of Environmental Engineering,Zhejiang University,Hangzhou 310029,P.R.China |
| Abstract: | The acquisition of precise soil data representative of the entire survey area,is a critical issue for many treatments such as irrigation or fertilization in precision agriculture.The aim of this study was to investigate the spatial variability of soil bulk electrical conductivity(ECb)in a coastal saline field and design an optimized spatial sampling scheme of ECb based on a sampling design algorithm,the variance quad-tree(VQT)method.Soil ECb data were collected from the field at 20m interval in a regular grid scheme.The smooth contour map of the whole field was obtained by ordinary kriging interpolation,VQT algorithm was then used to split the smooth contour map into strata of different number desired,the sampling locations can be selected within each stratum in subsequent sampling.The result indicated that the probability of choosing representative sampling sites was increased significantly by using VQT method with the sampling number being greatly reduced compared to grid sampling design while retaining the same prediction accuracy.The advantage of the VQT method is that this scheme samples sparsely in fields where the spatial variability is relatively uniform and more intensive where the variability is large.Thus the sampling efficiency can be improved,hence facilitate an assessment methodology that can be applied in a rapid,practical and cost-effective manner. |
| Keywords: | variance quad-tree(VQT) sampling scheme spatial variability kriging interpolation precision agriculture |
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