PeerJ | |
An index of non-sampling error in area frame sampling based on remote sensing data | |
Chenghai Yang1  Pengyu Hao2  Dailiang Peng3  Chunyang Zhang4  Zheng Niu5  Wang Li5  Yuchu Qin5  Mingquan Wu5  | |
[1] Aerial Application Technology Research Unit, USDA-Agricultural Research Service, College Station, TX,United States of America;Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture, China/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beiijng, China;Laboratory of Digital Earth Sciences, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China;National Engineering Center for Geoinformatics, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China;The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China; | |
关键词: Crops; Landsat; Non-sampling errors; Remote sensing; Crop area statistics; | |
DOI : 10.7717/peerj.5824 | |
来源: DOAJ |
【 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.
【 授权许可】
Unknown