Improving regional winter wheat yield estimation through assimilation of phenology and leaf area index from remote sensing data

European Journal of Agronomy

Volumn 101, Issue , 2018, Pages 163-173

  Chen, Yi ^a,b   Zhang, Zhao ^b   Tao, Fulu ^a,c  

^a INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

^b BEIJING NORMAL UNIVERSITY   (China)

^c UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

Data assimilation; Leaf area index (LAI); MCWLA Wheat model; Spatial differences; Winter wheat; Yield estimation

Indexed keywords

AGRICULTURAL MODELING; CROP IMPROVEMENT; CROP YIELD; DATA ASSIMILATION; DATA QUALITY; ESTIMATION METHOD; KALMAN FILTER; LEAF AREA INDEX; MANAGEMENT PRACTICE; PHENOLOGY; REMOTE SENSING; SATELLITE DATA; SUSTAINABILITY; WHEAT; WINTER;

CHINA; NORTH CHINA PLAIN;

TRITICUM AESTIVUM;

EID: 85053782719     PISSN: 11610301     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eja.2018.09.006     Document Type: Article

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