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PCORRECT.EXE (available upon request to ASD Inc.).
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surfaces. Applied Optics 9(2):405.
Campbell, J. B. 1996. Introduction to Remote Sensing, 2nd ed. London: Taylor & Francis.
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Environment 112:986–997.
Castillejo-González, I. L., López-Granados, F., García-Ferrer, A., Peña-Barragán, J. M.,
Jurado-Expósito, M., Sánchez de la Orden, M., and González-Audicana, M. 2009. Objectand pixel-based analysis for mapping crops and their agro-environmental associated
measures using QuickBird imagery. Computers and Electronics in Agriculture 68:207–215.
Castro-Esau, K. L., Sanchez-Azofeifa, G. A., and Caelli, T. 2004. Discrimination of lianas and
trees with leaf-level hyperspectral data. Remote Sensing of Environment 90(3):353–372.
Chang, J., Clay, S. A., and Clay, D. E. 2005. Clouds influence precision and accuracy of
ground-based spectroradiometers. Communications in Soil Science and Plant Analysis 36
(13–14):1799–1807.
Chintan, A. S., Arora, M. K., and Pramod, K. V. 2004. Unsupervised classification of
hyperspectral data: An ICA mixture model based approach. International Journal of
Remote Sensing 25:481–487.
Cho, M. A., Skidmore, A. K., and Sobhan, I. 2009. Mapping beech (Fagus sylvatica L.) forest
structure with airborne hyperspectral imagery. International Journal of Applied Earth
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to ASD Inc.). In D. C. Hatchell (Ed.) (Vol. 4th edition), Boulder, CO.
Asner, G. P., Wessman, C. A., Bateson, C. A., and Privette, J. L. 2000. Impact of tissue, canopy,
and landscape factors on the hyperspectral reflectance variability of arid ecosystems. Remote
Sensing of Environment 74(1):69–84.
Avery, T. E., and Berlin, G. L. 1992. Fundamentals of Remote Sensing and Airphoto
Interpretation, 5th ed. New York: MacMillan.
Baldridge, A. M., Hook, S. J., Grove, C. I., and Rivera, G. 2009. The ASTER spectral library
version 2.0. Remote Sensing of Environment 113(4):711–715.
Beal, D., and Eamon, M. 1999. Preliminary Results of Testing and a Proposal for Radiometric
Error Correction Using Dynamic, Parabolic Linear Transformations of “Stepped” Data:
PCORRECT.EXE (available upon request to ASD Inc.).
Ben-Dor, E., Chabrillat, S., Dematte, J. A. M., Taylor, G. R., Hill, J., Whiting, M. L., and
Sommer, S. 2009. Using imaging spectroscopy to study soil properties. Remote Sensing of
Environment 113:S38–S55.
Benz, U. C., Hofmann, P., Willhauck, G., Lingenfelder, I., and Heynen, M. 2004. Multiresolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information. ISPRS Journal of Photogrammetry and Remote Sensing 58:239–258.
Bock, M., Xofis, P., Mitchley, J., Rossner, G., and Wissen, M. 2005. Object-oriented method
for habitat mapping at multiple scales—case studies from northern Germany and Wye
Downs, UK. Journal for Nature Conservation 13:75–89.
Borengasser, M. 2007. Hyperspectral Remote Sensing and the Atmosphere Hyperspectral
Remote Sensing. Boca Raton, FL: CRC Press, pp. 31–38.
Borengasser, M., Hungate, W. S., and Watkins, R. 2007. Imaging Spectrometers Hyperspectral
Remote Sensing. Boca Raton, FL: CRC Press, pp. 17–29.
Brennan, B., and Bandeen, W. R. 1970. Anisotropic reflectance characteristics of natural earth
surfaces. Applied Optics 9(2):405.
Campbell, J. B. 1996. Introduction to Remote Sensing, 2nd ed. London: Taylor & Francis.
Carrao, H., Goncalves, P., and Caetano, M. 2008. Contribution of multispectral and multitemporal information from MODIS images to land cover classification. Remote Sensing of
Environment 112:986–997.
Castillejo-González, I. L., López-Granados, F., García-Ferrer, A., Peña-Barragán, J. M.,
Jurado-Expósito, M., Sánchez de la Orden, M., and González-Audicana, M. 2009. Objectand pixel-based analysis for mapping crops and their agro-environmental associated
measures using QuickBird imagery. Computers and Electronics in Agriculture 68:207–215.
Castro-Esau, K. L., Sanchez-Azofeifa, G. A., and Caelli, T. 2004. Discrimination of lianas and
trees with leaf-level hyperspectral data. Remote Sensing of Environment 90(3):353–372.
Chang, J., Clay, S. A., and Clay, D. E. 2005. Clouds influence precision and accuracy of
ground-based spectroradiometers. Communications in Soil Science and Plant Analysis 36
(13–14):1799–1807.
Chintan, A. S., Arora, M. K., and Pramod, K. V. 2004. Unsupervised classification of
hyperspectral data: An ICA mixture model based approach. International Journal of
Remote Sensing 25:481–487.
Cho, M. A., Skidmore, A. K., and Sobhan, I. 2009. Mapping beech (Fagus sylvatica L.) forest
structure with airborne hyperspectral imagery. International Journal of Applied Earth
Observation and Geoinformation 11(3):201–211.
REFERENCES
313