Regional winter wheat yield estimation based on the WOFOST model and a novel VW-4DEnSRF assimilation algorithm

doi:10.1016/j.rse.2020.112276

	Regional winter wheat yield estimation based on the WOFOST model and a novel VW-4DEnSRF assimilation algorithm
	Wu, Shangrong 1; Yang, Peng 1; Ren, Jianqiang 1; Chen, Zhongxin 1; Li, He 2
刊名	REMOTE SENSING OF ENVIRONMENT
	2021-03-15
卷号	255 页码:22
关键词	Data assimilation Crop growth model Yield simulation Four-dimensional expansion Variable time window
ISSN号	0034-4257
DOI	10.1016/j.rse.2020.112276
通讯作者	Ren, Jianqiang(renjianqiang@caas.cn) ; Chen, Zhongxin(chenzhongxin@caas.cn)
英文摘要	To further improve the accuracy of regional crop yield estimation based on data assimilation, a novel EnSRF assimilation algorithm based on a variable time window and four-dimensional extension (VW-4DEnSRF) was proposed. In this research, taking Hengshui City of Hebei Province as the study area and winter wheat as the research crop, based on the WOFOST crop model and the proposed VW-4DEnSRF algorithm, a crop yield assimilation system was successfully constructed after parameter sensitivity analysis and parameter calibration of the crop model. Supported by the field-measured crop yield data and based on the effective validation of the yield assimilation system at a single point scale and in a typical experimental area, the scale optimization of grid size for regional yield estimation was effectively selected. Finally, combining the WOFOST model and inverted remotely sensed LAI, the regional winter wheat yield simulation under the optimal grid size of 500 m was carried out effectively through comparison with the field-measured yield data and official statistical yield data at the county level. Among them, the R-2, adjusted R-2 and RMSE between the simulated yield and ground-measured yield were 0.481, 0.471 and 801.4 kg.ha(-1), respectively. The mean value of the estimated yield of winter wheat in Hengshui City was 6787 kg.ha(-1), and the RMSE and RE between the estimated yield and official yield were 416.7 kg.ha(-1) and 4.56%, respectively. These above results showed that the crop yield assimilation system based on the WOFOST model and proposed VW-4DEnSRF algorithm had good performances at both the single-point level and regional level, which proved that the proposed algorithm was feasible and effective at simulating crop yield over a large area
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[1610132019026] ; Agricultural Science and Technology Innovation Program of the 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	Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	ELSEVIER SCIENCE INC
WOS记录号	WOS:000619233400004
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 the 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/311030/160615]
专题	中国科学院地理科学与资源研究所
通讯作者	Ren, Jianqiang; Chen, Zhongxin
作者单位	1.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Minist Agr & Rural Affairs, Key Lab Agr Remote Sensing, 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,Ren, Jianqiang,et al. Regional winter wheat yield estimation based on the WOFOST model and a novel VW-4DEnSRF assimilation algorithm[J]. REMOTE SENSING OF ENVIRONMENT,2021,255:22.
APA	Wu, Shangrong,Yang, Peng,Ren, Jianqiang,Chen, Zhongxin,&Li, He.(2021).Regional winter wheat yield estimation based on the WOFOST model and a novel VW-4DEnSRF assimilation algorithm.REMOTE SENSING OF ENVIRONMENT,255,22.
MLA	Wu, Shangrong,et al."Regional winter wheat yield estimation based on the WOFOST model and a novel VW-4DEnSRF assimilation algorithm".REMOTE SENSING OF ENVIRONMENT 255(2021):22.