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SPATIAL CORRELATION ANALYSIS OF CROP YIELD IN THE MIDDLE AND WEST OF JILIN PROVINCE

机译:吉林省中西部作物产量的空间相关性分析

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摘要

In this paper, spatial correlation of crop yield in the middle and west of Jilin Province is analyzed by using the method of geostatistics semivariogram, taking the NDVI of NOAA/AVHRR spectrum data as the regionalized variable, aiming to provide theory and practical basis for field sampling of crop yield estimation using remote sensing. The ratio of nugget variance and sill of semivariograms are 21.1% and 9. 7% in the west and middle regions in Jilin Province respectively. This shows that the crop yields are spatially correlated. The degree and range of correlation are far different in the different situations. In the west test region, the range is 49. 9km and the sill is 0. 00019. In the middle test region, the range is 16. 5km and the sill is 0. 00453. The dissimilarity in the western test region is larger than that in the middle one. The range in which the correlation existed of the former is far larger than the later. Different characteristics of spatial correlation of crop yield are decided by the environmental factors. Samples for crop yield estimation should be extracted according to the characteristic of spatial distribution of crop yield to promote the efficiency of sampling.
机译:本文采用地统计学半变异函数法,以NOAA / AVHRR光谱数据的NDVI为区域变量,分析了吉林省中西部作物产量的空间相关性,为田间试验提供理论和实践依据。使用遥感对作物产量估算进行抽样。吉林省西部和中部地区的金块变异率和半变异函数基石的比率分别为21.1%和9. 7%。这表明作物产量在空间上是相关的。在不同情况下,相关程度和范围相差很大。在西部测试区域,范围为49. 9km,下限为0.00019。在中间测试区域,范围为16. 5km,下限为0.00453。西部测试区域的相异性大于在中间的那个。前者存在相关性的范围远大于后者。作物产量空间相关性的不同特征取决于环境因素。应根据作物单产的空间分布特征,提取作物单产的估计样本,以提高抽样效率。

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