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Estimation of Winter Wheat Grain Protein Content Based on Multisource Data Assimilation

文献类型：期刊论文

作者Chen, Pengfei1,2
刊名REMOTE SENSING
出版日期2020-10-01
卷号12期号:19页码:20
关键词data assimilation grain protein content winter wheat CERES-wheat model satellite image
DOI10.3390/rs12193201
通讯作者Chen, Pengfei(pengfeichen@igsnrr.ac.cn)
英文摘要Data assimilation is a robust method to predict crop biophysical and biochemical parameters. However, no previous study has attempted to predict grain protein content (GPC) at a regional scale using this method. This study explored the feasibility of designing an assimilation model for wheat GPC estimation using remote sensing, a crop growth model, and a priori knowledge. The data included a field experiment and regional sampling data, and Landsat Operational Land Imager images were employed, with the CERES (Crop Environment REsource Synthesis)-Wheat model used as simulation model. To select an optimal method for data assimilation in GPC prediction, different state variable scenarios and cost function solving algorithm scenarios were compared. Additionally, to determine whether a priori information could improve GPC prediction, the collected leaf area index (LAI) and leaf N content sampling data and the range of GPC in the study region were used to constrain the data assimilation process. Furthermore, the data assimilation method was compared to the use of only the CERES-Wheat model. The results showed that GPC could be predicted by remote sensing observation, a crop growth model, and a priori knowledge at regional scale, where the use of data assimilation improved the GPC prediction compared to using only the CERES-Wheat model.
WOS关键词LEAF-AREA INDEX ; HYPERSPECTRAL VEGETATION INDEXES ; REMOTE-SENSING DATA ; MODEL ; YIELD ; LAI ; SIMULATION ; QUALITY
资助项目National Natural Science Foundation of China[41871344] ; National Natural Science Foundation of China[41301378] ; National Research and Development Plan of China[2017YFD0201501] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23100101]
WOS研究方向Remote Sensing
语种英语
WOS记录号WOS:000586393100001
出版者MDPI
资助机构National Natural Science Foundation of China ; National Research and Development Plan of China ; Strategic Priority Research Program of the Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/156565]  
专题中国科学院地理科学与资源研究所
通讯作者Chen, Pengfei
作者单位1.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China
2.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Chen, Pengfei. Estimation of Winter Wheat Grain Protein Content Based on Multisource Data Assimilation[J]. REMOTE SENSING,2020,12(19):20.
APA Chen, Pengfei.(2020).Estimation of Winter Wheat Grain Protein Content Based on Multisource Data Assimilation.REMOTE SENSING,12(19),20.
MLA Chen, Pengfei."Estimation of Winter Wheat Grain Protein Content Based on Multisource Data Assimilation".REMOTE SENSING 12.19(2020):20.

入库方式： OAI收割

来源：地理科学与资源研究所

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