Special Section on Remote Sensing and Sensor Networks for Promoting Agro-Geoinformatics, Part 2

Optimization of spatial sampling schemes for maize acreage estimation

[+] Author Affiliations
Di Wang, Qingbo Zhou, Zhongxin Chen, Jia Liu

Key Laboratory of Agri-Informatics, Ministry of Agriculture, No.12 Zhongguancun Southen Street, Haidian District, Beijing 100081, China

Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, No.12 Zhongguancun Southen Street, Haidian District, Beijing 100081, China

J. Appl. Remote Sens. 9(1), 097092 (May 26, 2015). doi:10.1117/1.JRS.9.097092
History: Received August 5, 2014; Accepted April 23, 2015
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Abstract.  Sampling fraction, sample layout, and sampling unit scale are the three basic elements of a spatial sampling scheme. Optimizing these factors plays an important role in decreasing the sampling cost and improving the extrapolation accuracy of survey sampling. Spatial analysis, “3S” techniques, and traditional sampling methods are employed to optimize the three basic elements. Dehui County in Jilin Province, China was chosen as the study area, maize sown acreage as the study object, and square grids as the shape of the sampling units. The experimental results demonstrate that the spatial autocorrelation of sampling unit increases with its scale. When the scale is 500×500m, there is almost no spatial autocorrelation among sampling units, so 500×500m is selected as the optimal sampling unit scale. The spatial stratified heterogeneity of sampling units decreases with increasing scale. When the sampling unit scale is 500×500m, it must be stratified to improve the sampling efficiency. The cultivated land area in one sampling unit can be selected as a stratification criterion due to the significant linear correlation relationship between it and the maize area in all sampling units. Stratified system isometric sampling and 1% are the optimal sample layout pattern and sampling fraction, respectively. This research provides a theoretical basis for improving the spatial sampling efficiency to estimate crop acreage.

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Citation

Di Wang ; Qingbo Zhou ; Zhongxin Chen and Jia Liu
"Optimization of spatial sampling schemes for maize acreage estimation", J. Appl. Remote Sens. 9(1), 097092 (May 26, 2015). ; http://dx.doi.org/10.1117/1.JRS.9.097092


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