Assimilation of remote sensing into crop growth models: Current status and perspectives

Agricultural and Forest Meteorology

Volumn 276-277, Issue , 2019, Pages

  Huang, Jianxi ^a,b,c,d   Gómez Dans, Jose L ^e,f   Huang, Hai ^a   Ma, Hongyuan ^f   Wu, Qingling ^f   Lewis, Philip E ^e,f   Liang, Shunlin ^g,h   Chen, Zhongxin ⁱ   Xue, Jing Hao ^f   Wu, Yantong ^j   Zhao, Feng ^k   Wang, Jing ^a   Xie, Xianhong ^l  

^a CHINA AGRICULTURAL UNIVERSITY   (China)

^b AGRO ENVIRONMENTAL PROTECTION INSTITUTE   (China)

^c Chongqing Institute of Geology and Mineral Resources   (China)

^d CMA/Henan Key Laboratory of Agrometeorological Support and Applied Technique   (China)

^e NATURAL ENVIRONMENT RESEARCH COUNCIL   (United Kingdom)

^f UNIVERSITY COLLEGE LONDON   (United Kingdom)

^g UNIVERSITY OF MARYLAND   (United States)

^h WUHAN UNIVERSITY   (China)

ⁱ INSTITUTE OF PLANT PROTECTION   (China)

^j UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^k BEIHANG UNIVERSITY   (China)

^l BEIJING NORMAL UNIVERSITY   (China)

more..

Author keywords

Crop growth models; Crop modelling; Crop monitoring; Crop yield prediction; Data assimilation; Remote sensing

Indexed keywords

CROP PRODUCTION; DATA ASSIMILATION; ENVIRONMENTAL MONITORING; GROWTH RESPONSE; LITERATURE REVIEW; PREDICTION; PROBABILITY DENSITY FUNCTION; REMOTE SENSING; YIELD RESPONSE;

EID: 85068037707     PISSN: 01681923     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agrformet.2019.06.008     Document Type: Review

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