Scientia Agricultura Sinica ›› 2018, Vol. 51 ›› Issue (4): 675-687.doi: 10.3864/j.issn.0578-1752.2018.04.007

• TILLAGE & CULTIVATION·PHYSIOLOGY & BIOCHEMISTRY·AGRICULTURE INFORMATION TECHNOLOGY • Previous Articles     Next Articles

An Efficient Hierarchical Indicator Based on the Correction Area of Remote Sensing Identification Error for Planting Acreage Sampling——A Case Study of Winter Wheat

YANG JunWen1,3, ZHANG JinShui1,3, PAN YaoZhong2,3, SUN PeiJun2,3, ZHU Shuang4   

  1. 1State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Sciences, Beijing Normal University, Beijing 100875; 2State Key Laboratory of Remote Sensing Science, Faculty of Geographical Sciences, Beijing Normal University, Beijing 100875; 3Institute of Remote Sensing Science and Engineering, Faculty of Geographical Sciences, Beijing Normal University, Beijing 100875; 4Beijing Polytechnic College, Beijing 100042
  • Received:2017-06-12 Online:2018-02-16 Published:2018-02-16

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Abstract: 【Objective】Remote sensing has a strong superiority in crop planting area acquisition. It is critical to design an efficient hierarchical indicator in a stratified sampling investigation. Traditional method neglects the classifying error of the classification results, which reduces the sampling efficiency. Therefore, a new hierarchical indicator (Scorrect) that can correct the error area is presented in this paper, which is in favor of raising the efficiency of the sampling survey. 【Method】The yield of winter wheat in Tongzhou and Daxing district of Beijing was as a study object. The data source was GF-1 imagery (resolution: 16 m, phase: 2015-04-04) obtained in winter wheat growing season. This paper designed the Scorrect which was based on an algorithm involved the error of omission and the error of commission at pixel scale. This indicator summed all pixels’ correct scale in a sampling unit to correct the area scale indicator (S). A certain plan was devised for Multiple sampling by using Scorrect and the area scale indicator (S). This plan constructed regular square grids (size: 90-300 m) as the sampling frames, set the number of layers, determined the hierarchical boundary method and the allocation method for sample capacity, etc. In order to testify the validity of Scorrect, this paper analyzed the correlation between this indicator and true value, estimated the total winter wheat area by multiple sampling, after that, compared Scorrect with S in sampling variance, average relative error ( ), CV value, etc. The typical corrected regions for pixel with error were selected to compare and analyze for verifying the effectiveness at pixel scale. 【Result】 (1) By comparing and analyzing the typical corrected regions, the error distribution could accord with the actual circumstance for both the error of omission and the error of commission. This indicator could correct error pixel. With the sizes of the sampling unit, Scorrect was better than S in the correlation, and the value was greater than 0.7, which can ensure a high and stable correlation with the truth value. The validity of Scorrect had been verified by experiments. (2) Scorrect was better than S in the stability, accuracy and CV value. Its total variance was 1.70×1013-2.41×1013, and the total variance obtained by using S was 2.05×1013-3.11×1013. Its  was 4.21%-5.00%. The  obtained by using S was 4.87%-5.98%. Therefore, nearly 1% could be enhanced stability in accuracy. Besides, Scorrect could reduce CV value nearly 0.8%. 【Conclusion】The effectiveness and advantages of Scorrect had been proved by the experimental results. The indicator can improve the accuracy of sampling and the stability of inference in a certain extent.

Key words: winter wheat, acreage estimate, spatial stratified sampling, hierarchical indicator, classification error, area scale

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