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hyperspectral data. International Journal of Remote Sensing 21(10):2075–2087.
Congalton, R., and Green, K. 1999. Assessing the Accuracy of Remotely Sensed Data:
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and Fauna, the Council of the European Communities.
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Dalponte, M., Bruzzone, L., Vescovo, L., and Gianelle, D. 2009. The role of spectral resolution
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De Carvalho, O. A., and Meneses, P. R. 2000. Spectral Correlation Mapper (SCM): An
Improvement on the Spectral Angle Mapper (SAM). Summaries of the 9th JPL Airborne
Earth Science Workshop, JPL Publication 00-18.
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W6.
Dimitrakopoulos, A. P. 2001. A statistical classification of Mediterranean species based on their
flammability components. International Journal of Wildland Fire 10(2):113–118.
Du, P., Tan, K., and Xing, X. 2010. Wavelet SVM in reproducing kernel Hilbert space
for hyperspectral remote sensing image classification. Optics Communications 283
(24):4978–4984.
Elatawneh, A., Kalaitzidis, C., Petropoulos, G. P., and Schneider, T. 2012. Evaluation of
diverse classification approaches for land use/cover mapping in a Mediterranean region
utilizing Hyperion data. International Journal of Digital Earth 1–23.
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www.exlivis.com.
Fassnacht, K. S., Cohen, W. B., and Spies, T. A. 2006. Key issues in making and using satellitebased maps in ecology: A primer. Forest Ecology and Management 222:167–181.
Frank, M., and Menz, G. 2003. Detecting Seasonal Changes in a Semi-arid Environment Using
Hyperspectral Vegetation Indices. Paper presented at the Proceedings of the 3rd EARSel
Workshop on Imaging Spectrometry.
Galvao, L. S., Roberts, D. A., Formaggio, A. R., Numata, I., and Breunig, F. M. 2009. View
angle effects on the discrimination of soybean varieties and on the relationships between
vegetation indices and yield using off-nadir Hyperion data. Remote Sensing of Environment
113:846–856.
Gao, B. C., Montes, M. J., Davis, C. O., and Goetz, A. F. H. 2009. Atmospheric correction
algorithms for hyperspectral remote sensing data of land and ocean. Remote Sensing of
Environment 113:S17–S24.
314
HYPERSPECTRAL REMOTE SENSING WITH EMPHASIS ON LAND COVER MAPPING
International Journal of Remote Sensing 21:1093–1114.
Clark, M. L., Roberts, D. A., and Clark, D. B. 2005. Hyperspectral discrimination of
tropical rain forest tree species at leaf to crown scales. Remote Sensing of Environment
96(3–4):375–398.
Cochrane, M. A. 2000. Using vegetation reflectance variability for species level classification of
hyperspectral data. International Journal of Remote Sensing 21(10):2075–2087.
Congalton, R., and Green, K. 1999. Assessing the Accuracy of Remotely Sensed Data:
Principles and Practices. Boca Raton, FL: CRC/Lewis Press.
Council Directive 92/43/EEC. 1992. Of the Conservation of Natural Habitats and Wild Flora
and Fauna, the Council of the European Communities.
Curran, P. J. 2001. Imaging spectrometry for ecological applications. International Journal of
Applied Earth Observation and Geoinformation 3(4):305–312.
Dalponte, M., Bruzzone, L., Vescovo, L., and Gianelle, D. 2009. The role of spectral resolution
and classifiers complexity in the analysis of hyperspectral images of forest areas. Remote
Sensing of Environment 113(11):2345–2355.
De Carvalho, O. A., and Meneses, P. R. 2000. Spectral Correlation Mapper (SCM): An
Improvement on the Spectral Angle Mapper (SAM). Summaries of the 9th JPL Airborne
Earth Science Workshop, JPL Publication 00-18.
De Kok, R., Schneider, T., and Ammer, U. 1999. Object-based classification and applications in the alpine forest environment. In fusion of sensor data, knowledge sources and
algorithms: Proceedings of the joint ISPRS/EARSEL workshop, 3–4 June 1999, Valladolid, Spain. International of Archives Photogrammetry and Remote Sensing 32:7-4-3
W6.
Dimitrakopoulos, A. P. 2001. A statistical classification of Mediterranean species based on their
flammability components. International Journal of Wildland Fire 10(2):113–118.
Du, P., Tan, K., and Xing, X. 2010. Wavelet SVM in reproducing kernel Hilbert space
for hyperspectral remote sensing image classification. Optics Communications 283
(24):4978–4984.
Elatawneh, A., Kalaitzidis, C., Petropoulos, G. P., and Schneider, T. 2012. Evaluation of
diverse classification approaches for land use/cover mapping in a Mediterranean region
utilizing Hyperion data. International Journal of Digital Earth 1–23.
Exelis. 2009. ENVI User’s Guide: ENVI Software, Exelis Visual Information Solutions,
www.exlivis.com.
Fassnacht, K. S., Cohen, W. B., and Spies, T. A. 2006. Key issues in making and using satellitebased maps in ecology: A primer. Forest Ecology and Management 222:167–181.
Frank, M., and Menz, G. 2003. Detecting Seasonal Changes in a Semi-arid Environment Using
Hyperspectral Vegetation Indices. Paper presented at the Proceedings of the 3rd EARSel
Workshop on Imaging Spectrometry.
Galvao, L. S., Roberts, D. A., Formaggio, A. R., Numata, I., and Breunig, F. M. 2009. View
angle effects on the discrimination of soybean varieties and on the relationships between
vegetation indices and yield using off-nadir Hyperion data. Remote Sensing of Environment
113:846–856.
Gao, B. C., Montes, M. J., Davis, C. O., and Goetz, A. F. H. 2009. Atmospheric correction
algorithms for hyperspectral remote sensing data of land and ocean. Remote Sensing of
Environment 113:S17–S24.
314
HYPERSPECTRAL REMOTE SENSING WITH EMPHASIS ON LAND COVER MAPPING