Hyperspectral estimation of leaf area index for winter wheat based on Akaike's information criterion

Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Volumn 32, Issue 3, 2016, Pages 163-168

  Yang, Fuqin ^a,b,c,d,e   Feng, Haikuan ^b,c,d   Li, Zhenhai ^b,c,d   Gao, Lin ^b,c,d   Yang, Guijun ^b,c,d   Dai, Huayang ^a  

^a CHINA UNIVERSITY OF MINING AND TECHNOLOGY   (China)

^b NATIONAL ENGINEERING RESEARCH CENTER FOR INFORMATION TECHNOLOGY IN AGRICULTURE   (China)

^c AGRO ENVIRONMENTAL PROTECTION INSTITUTE   (China)

^d Beijing Engineering Research Center of Agricultural Internet of Things   (China)

^e HENAN INSTITUTE OF ENGINEERING   (China)

Author keywords

Akaike's information criterion; Grey relational analysis; Leaf area index; Models; Partial least squares; Remote sensing; Vegetation

Indexed keywords

CHLOROPHYLL; CROPS; FORECASTING; LEAST SQUARES APPROXIMATIONS; MODELS; PLANTS (BOTANY); REFLECTION; REMOTE SENSING;

AKAIKE'S INFORMATION CRITERIONS; GREY RELATIONAL ANALYSES (GRA); GREY RELATIONAL ANALYSIS; LEAF AREA INDEX; NORMALIZED DIFFERENCE VEGETATION INDEX; PARTIAL LEAST SQUARE (PLS); PARTIAL LEAST SQUARES REGRESSION; REMOTE SENSING MONITORING;

VEGETATION;

EID: 84959494778     PISSN: 10026819     EISSN: None     Source Type: Journal    
DOI: 10.11975/j.issn.1002-6819.2016.03.023     Document Type: Article

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