Remotely detecting canopy nitrogen concentration and uptake of paddy rice in the Northeast China Plain

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 78, Issue , 2013, Pages 102-115

  Yu, Kang ^a,c,d   Li, Fei ^b,d   Gnyp, Martin L ^c,d   Miao, Yuxin ^a,d   Bareth, Georg ^c,d   Chen, Xinping ^a,d  

^a CHINA AGRICULTURAL UNIVERSITY   (China)

^b INNER MONGOLIA AGRICULTURAL UNIVERSITY   (China)

^c UNIVERSITY OF COLOGNE   (Germany)

^d International Center for Agro Informatics and Sustainable Development (ICASD)   (Germany)

Author keywords

Heading stage; Hyperspectral index; Lambda by lambda band optimized algorithm; N dilution effect; Nitrogen status; Rice; Stepwise multiple linear regression

Indexed keywords

ALGORITHMS; INFRARED DEVICES; OPTIMIZATION; VEGETATION;

DILUTION EFFECT; HYPERSPECTRAL INDICES; NITROGEN STATUS; RICE; STEPWISE MULTIPLE LINEAR REGRESSION;

ESTIMATION;

ACCURACY ASSESSMENT; ALGORITHM; CONCENTRATION (COMPOSITION); GROWTH; MORPHOLOGY; NITROGEN; NUMERICAL MODEL; PADDY FIELD; PHYSIOLOGY; REGRESSION ANALYSIS; REMOTE SENSING; RICE; VEGETATION INDEX; WAVELENGTH;

CHINA; DONGBEI PINGYUAN;

EID: 84874562558     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2013.01.008     Document Type: Article

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