Use of canopy- and leaf-reflectance indices for the detection of quality variables of Vicia species

By Albayrak Sebahattın   Basayığıt Levent   Turk Mevlut  

International Journal of Remote Sensing, Vol. 32, Iss. 4, 2011-02 ,pp. : 1199-1211

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A method for predicting fresh green leaf nitrogen concentrations from shortwave infrared reflectance spectra acquired at the canopy level that requires no in situ nitrogen data

By Bortolot Z. J.   Wynne R. H.  

International Journal of Remote Sensing, Vol. 24, Iss. 3, 2003-02 ,pp. : 619-624

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Training a neural network with a canopy reflectance model to estimate crop leaf area index

By Danson F. M.   Rowland C. S.   Baret F.  

International Journal of Remote Sensing, Vol. 24, Iss. 23, 2003-12 ,pp. : 4891-4905

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A whole image approach using field measurements for transforming EO1 Hyperion hyperspectral data into canopy reflectance spectra

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International Journal of Remote Sensing, Vol. 26, Iss. 8, 2005-04 ,pp. : 1589-1610

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Evaluating the performance of PC-ANN for the estimation of rice nitrogen concentration from canopy hyperspectral reflectance

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International Journal of Remote Sensing, Vol. 31, Iss. 4, 2010-04 ,pp. : 931-940

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