Estimating winter wheat yield by assimilation of remote sensing data with a four-dimensional variation algorithm considering anisotropic background error and time window

doi:10.1016/j.agrformet.2021.108345

	Estimating winter wheat yield by assimilation of remote sensing data with a four-dimensional variation algorithm considering anisotropic background error and time window
	Wu, Shangrong 1; Yang, Peng 1; Chen, Zhongxin 1; Ren, Jianqiang 1; Li, He 2; Sun, Liang 1
刊名	AGRICULTURAL AND FOREST METEOROLOGY
	2021-05-15
卷号	301 页码:16
关键词	Data assimilation Crop yield estimation Remotely sensed LAI Background error Time window Anisotropic
ISSN号	0168-1923
DOI	10.1016/j.agrformet.2021.108345
通讯作者	Chen, Zhongxin(chenzhongxin@caas.cn) ; Ren, Jianqiang(renjianqiang@caas.cn)
英文摘要	To further improve the yield estimation accuracy of regional winter wheat, based on En4DVar algorithm, an anisotropic background error and time window four-dimensional variation (ABT-4DVar) algorithm was constructed by introducing a variation time window. Based on a comparison with the simulated crop yield without data assimilation at a single point scale and in a typical test area, the effectiveness and feasibility of the constructed ABT-4DVar algorithm were effectively verified. On this basis, using the official statistics as verification data, the ABT-4DVar algorithm was applied to a winter wheat yield estimation system by assimilating remotely sensed LAI into the WOFOST (WOrld FOod STudies) crop growth model at a regional scale. The yield estimation results of winter wheat in Hengshui city showed that the RE between the average estimated yield and official statistics was 3.18%, and the REs between the average estimated yields and the official statistics of the 11 counties were all within 14.80%. The yield estimation results of winter wheat in Hengshui city indicated that the ABT-4DVar algorithm had good performance in regional yield estimation and that the assimilation algorithm could provide technology for crop growth evaluation and yield simulation.
资助项目	National Natural Science Foundation of China[41921001] ; National Natural Science Foundation of China[41871353] ; National Natural Science Foundation of China[41801286] ; National Natural Science Foundation of China[41871358] ; National Natural Science Foundation of China[61661136006] ; Young Elite Scientists Sponsorship Program by CAST[2018CAASS04] ; Open Project Fund for Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture and Rural Affairs[201708] ; Fundamental Research Funds for Central Nonprofit Scientific Institution[1610132021009] ; Agricultural Science and Technology Innovation Program of Chinese Academy of Agricultural Sciences (CAAS) ; Outstanding Talents and Innovative Team of Agricultural Scientific Research, Ministry of Agriculture and Rural Affairs
WOS研究方向	Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000635675800008
资助机构	National Natural Science Foundation of China ; Young Elite Scientists Sponsorship Program by CAST ; Open Project Fund for Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture and Rural Affairs ; Fundamental Research Funds for Central Nonprofit Scientific Institution ; Agricultural Science and Technology Innovation Program of Chinese Academy of Agricultural Sciences (CAAS) ; Outstanding Talents and Innovative Team of Agricultural Scientific Research, Ministry of Agriculture and Rural Affairs
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/161872]
专题	中国科学院地理科学与资源研究所
通讯作者	Chen, Zhongxin; Ren, Jianqiang
作者单位	1.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Agr Remote Sensing, Minist Agr & Rural Affairs, Beijing 100081, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Wu, Shangrong,Yang, Peng,Chen, Zhongxin,et al. Estimating winter wheat yield by assimilation of remote sensing data with a four-dimensional variation algorithm considering anisotropic background error and time window[J]. AGRICULTURAL AND FOREST METEOROLOGY,2021,301:16.
APA	Wu, Shangrong,Yang, Peng,Chen, Zhongxin,Ren, Jianqiang,Li, He,&Sun, Liang.(2021).Estimating winter wheat yield by assimilation of remote sensing data with a four-dimensional variation algorithm considering anisotropic background error and time window.AGRICULTURAL AND FOREST METEOROLOGY,301,16.
MLA	Wu, Shangrong,et al."Estimating winter wheat yield by assimilation of remote sensing data with a four-dimensional variation algorithm considering anisotropic background error and time window".AGRICULTURAL AND FOREST METEOROLOGY 301(2021):16.