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One important feature of geography phenomenon or spatial object is that there exists the spatial autocorrelation between them. As for a spatial sampling scheme for crop acreage estimation, the spatial autocorrelation of the sampling units has an important effect on the design of the sampling scheme and the improvement of the sampling efficiency. While the related researches on spatial autocorrelation...
Timely and accurate estimating crop sown acreage is one of key technologies of crop yield monitoring by remote sensing, it has become an important subject in national agricultural condition monitoring field. In view of the problems occurred in the current sampling survey technology system in China, such as the sample size is not scientifically formulated; the rationality of sample layout is deficient...
Under the guidance of the optimal stratified sampling frame in which spatial distribution is consistent with the random sampling principle, this paper takes the groundwater nitrate nitrogen pollution in the intensive cropping area in Shandong Province as the object of study, and collects 548 groundwater nitrate nitrogen samples of Shandong province from November 2009 to February 2010. The result indicates...
Sampling basic unit size is considered as a key factor in the process of formulating spatial sampling survey schemes. Reasonable sampling unit size plays an important role for reducing sampling survey cost and improving estimating accuracy of population value. The experiment on optimization of survey unit size was conducted to improve the efficiency of spatial sampling for estimating winter wheat...
It is essential for grain production, trade and grain security warning that the information on crop sown area is collected timely and accurately at regional and national level. The experiment on optimal design of spatial sampling schemes for estimating winter wheat sown acreage was conducted combining Remote Sensing, Geographic Information Systems with the traditional sampling methods as well as Geostatistics...
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