Validation of artificial neural network techniques in the estimation of nitrogen concentration in rape using canopy hyperspectral reflectance data

By Wang Yuan   Wang Fumin   Huang Jingfeng   Wang Xiuzhen   Liu Zhanyu  

International Journal of Remote Sensing, Vol. 30, Iss. 17, 2009-01 ,pp. : 4493-4505

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Grass species differentiation through canopy hyperspectral reflectance

By Irisarri J. G. N.   Oesterheld M.   Veron S. R.   Paruelo J. M.  

International Journal of Remote Sensing, Vol. 30, Iss. 22, 2009-01 ,pp. : 5959-5975

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Estimation of citrus yield from canopy spectral features determined by airborne hyperspectral imagery

By Ye Xujun   Sakai Kenshi   Sasao Akira   Asada Shin-ichi  

International Journal of Remote Sensing, Vol. 30, Iss. 18, 2009-01 ,pp. : 4621-4642

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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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Hyperspectral indices for detecting changes in canopy reflectance as a result of underground natural gas leakage

By Noomen M. F.   Smith K. L.   Colls J. J.   Steven M. D.   Skidmore A. K.   Van Der Meer F. D.  

International Journal of Remote Sensing, Vol. 29, Iss. 20, 2008-10 ,pp. : 5987-6008

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