Improving Winter Wheat Yield Estimation from the CERES-Wheat Model to Assimilate Leaf Area Index with Different Assimilation Methods and Spatio-Temporal Scales

doi:10.3390/rs9030190

	Improving Winter Wheat Yield Estimation from the CERES-Wheat Model to Assimilate Leaf Area Index with Different Assimilation Methods and Spatio-Temporal Scales
	Li, He 1; Chen, Zhongxin 2; Liu, Gaohuan 1; Jiang, Zhiwei 3; Huang, Chong 1
刊名	REMOTE SENSING
	2017-03-01
卷号	9 期号:3 页码:23
关键词	assimilation crop model leaf area index particle filter four-dimensional variational uncertainties spatio-temporal
ISSN号	2072-4292
DOI	10.3390/rs9030190
通讯作者	Chen, Zhongxin(chenzhongxin@caas.cn)
英文摘要	To improve the accuracy of winter wheat yield estimation, the Crop Environment Resource Synthesis for Wheat (CERES-Wheat) model with an assimilation strategy was performed by assimilating measured or remotely-sensed leaf area index (LAI) values. The performances of the crop model for two different assimilation methods were compared by employing particle filters (PF) and the proper orthogonal decomposition-based ensemble four-dimensional variational (POD4DVar) strategies. The uncertainties of wheat yield estimates due to different assimilation temporal scales (phenological stages and temporal frequencies) and spatial scale were also analyzed. The results showed that, compared with the crop model without assimilation and with PF-based assimilation, a better yield estimate performance resulted when the POD4DVar-based strategy was used at the field scale. When using this strategy, root mean square errors (RMSE) of 523 kg.ha(-1), 543 kg.ha(-1) and 172 kg.ha(-1) and relative errors (RE) of 5.65%, 5.91% and 7.77% were obtained at the field plot scale, a pixel scale of 1 km and the county scale, respectively. Although the best yield estimates were obtained when all of the observed LAIs were assimilated into the crop model, an acceptable estimate of crop yield could also be achieved by assimilating fewer observations between jointing and anthesis periods of the crop growth season. With decreasing assimilation frequency and pixel resolution, the accuracy of the crop yield estimates decreased; however, the computation time decreased. Thus, it is important to consider reasonable spatio-temporal scales to obtain tradeoffs between accuracy and effectiveness in regional wheat estimates.
资助项目	Youth Science Funds of State Key Laboratory of Resources and Environment Information System, Chinese Academy of Sciences[O8R8A081YA] ; National Natural Science Foundation of China[41371396] ; National Natural Science Foundation of China[61661136006] ; National Natural Science Foundation of China[41471335] ; National Natural Science Foundation of China[41401491] ; Introduction of International Advanced Agricultural Science and Technology, Ministry of Agriculture, P.R. China (948 Program)[2016-X38]
WOS关键词	VARIATIONAL DATA ASSIMILATION ; ENSEMBLE KALMAN FILTER ; REMOTE-SENSING DATA ; RADIATIVE-TRANSFER MODEL ; CROP GROWTH-MODEL ; SOIL-MOISTURE ; WOFOST MODEL ; MAIZE YIELD ; MODIS-LAI ; PARTICLE FILTER
WOS研究方向	Remote Sensing
语种	英语
出版者	MDPI AG
WOS记录号	WOS:000398720100006
资助机构	Youth Science Funds of State Key Laboratory of Resources and Environment Information System, Chinese Academy of Sciences ; National Natural Science Foundation of China ; Introduction of International Advanced Agricultural Science and Technology, Ministry of Agriculture, P.R. China (948 Program)
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/64669]
专题	中国科学院地理科学与资源研究所
通讯作者	Chen, Zhongxin
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Minist Agr, Key Lab Agriinformat, Beijing 100081, Peoples R China 3.Natl Meteorol Informat Sci, Beijing 100081, Peoples R China
推荐引用方式 GB/T 7714	Li, He,Chen, Zhongxin,Liu, Gaohuan,et al. Improving Winter Wheat Yield Estimation from the CERES-Wheat Model to Assimilate Leaf Area Index with Different Assimilation Methods and Spatio-Temporal Scales[J]. REMOTE SENSING,2017,9(3):23.
APA	Li, He,Chen, Zhongxin,Liu, Gaohuan,Jiang, Zhiwei,&Huang, Chong.(2017).Improving Winter Wheat Yield Estimation from the CERES-Wheat Model to Assimilate Leaf Area Index with Different Assimilation Methods and Spatio-Temporal Scales.REMOTE SENSING,9(3),23.
MLA	Li, He,et al."Improving Winter Wheat Yield Estimation from the CERES-Wheat Model to Assimilate Leaf Area Index with Different Assimilation Methods and Spatio-Temporal Scales".REMOTE SENSING 9.3(2017):23.