Using vegetation reflectance variability for species level classification of hyperspectral data

By Cochrane M. A.  

International Journal of Remote Sensing, Vol. 21, Iss. 10, 2000-07 ,pp. : 2075-2087

Taylor & Francis Ltd

Access to resources Recommend Favorite

Remote monitoring of hypersaline environments in San Francisco Bay, CA, USA

By Dalton J. B.   Palmer-Moloney L. J.   Rogoff D.   Hlavka C.   Duncan C.  

International Journal of Remote Sensing, Vol. 30, Iss. 11, 2009-01 ,pp. : 2933-2949

Taylor & Francis Ltd

Access to resources Recommend Favorite

Comparing techniques for vegetation classification using multi- and hyperspectral images and ancillary environmental data

By Sluiter R.   Pebesma E. J.  

International Journal of Remote Sensing, Vol. 31, Iss. 23, 2010-07 ,pp. : 6143-6161

Taylor & Francis Ltd

Access to resources Recommend Favorite

Hyperspectral monitoring of physiological parameters of wheat during a vegetation period using AVIS data

By Oppelt N.   Mauser W.  

International Journal of Remote Sensing, Vol. 25, Iss. 1, 2004-01 ,pp. : 145-159

Taylor & Francis Ltd

Access to resources Recommend Favorite

Geomorphologic mapping from hyperspectral data, using Gaussian mixtures and lower confidence bounds

By Koltunov A.   Crouvi O.   Ben E.  

International Journal of Remote Sensing, Vol. 27, Iss. 20, 2006-10 ,pp. : 4545-4566

Taylor & Francis Ltd

Access to resources Recommend Favorite