文献类型： 外文期刊
第一作者： Wu, Mingquan
作者： Wu, Mingquan;Qin, Yuchu;Niu, Zheng;Li, Wang;Peng, Dailiang;Yang, Chenghai;Hao, Pengyu;Zhang, Chunyang
作者机构：
关键词： Crops; Landsat; Non-sampling errors; Remote sensing; Crop area statistics
期刊名称：PEERJ （ 影响因子：2.984； 五年影响因子：3.369 ）
ISSN： 2167-8359
年卷期： 2018 年 6 卷
页码：
收录情况： SCI
摘要： Agricultural areas are often surveyed using area frame sampling. Using non-updated area sampling frame causes significant non-sampling errors when land cover and usage changes between updates. To address this problem, a novel method is proposed to estimate non-sampling errors in crop area statistics. Three parameters used in stratified sampling that are affected by land use changes were monitored using satellite remote sensing imagery: (1) the total number of sampling units; (2) the number of sampling units in each stratum; and (3) the mean value of selected sampling units in each stratum. A new index, called the non-sampling error by land use change index (NELUCI), was defined to estimate non-sampling errors. Using this method, the sizes of cropping areas in Bole, Xinjiang, China, were estimated with a coefficient of variation of 0.0237 and NELUCI of 0.0379. These are 0.0474 and 0.0994 lower, respectively, than errors calculated by traditional methods based on non-updated area sampling frame and selected sampling units.
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