An index of non-sampling error in area frame sampling based on remote sensing data

PeerJ

article

Mingquan Wu¹  Dailiang Peng²  Yuchu Qin¹  Zheng Niu¹  Chenghai Yang³  Wang Li¹  Pengyu Hao⁴  Chunyang Zhang⁵ 

[1] The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences;Laboratory of Digital Earth Sciences, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences;Aerial Application Technology Research Unit, USDA-Agricultural Research Service, College Station;Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture, China/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences;National Engineering Center for Geoinformatics, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences

关键词: Crops;    Landsat;    Non-sampling errors;    Remote sensing;    Crop area statistics;   

DOI  :  10.7717/peerj.5824

学科分类：社会科学、人文和艺术（综合）

来源: Inra

【 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】

CC BY