Koetz, B., Morsdorf, F., Linden, S., van der Curt, T., and Allgower, B. 2008. Multi-source land
cover classification for forest fire management based on imagine spectrometry and LiDAR
data. Forest Ecology and Management 256(3):263–271.
Kruse, F. A., Lefkoff, A. B., Boardman, J. W., Heidebrecht, K. B., Shapiro, A. T., Barloon,
P. J., and Goetz, A. F. H. 1993. The Spectral Image Processing System (SIPS)—Interactive
visualization and analysis of imaging spectrometer data. Remote Sensing of Environment
44:145–163.
Lacar, F. M., Lewis, M. M., and Grierson, I. T. 2001. Use of hyperspectral reflectance for
discrimination between grape varieties. Paper presented at the Geoscience and Remote
Sensing Symposium, 2001. IGARSS ’01. IEEE 2001 International.
Lewis, M. M. 2001. Discriminating vegetation with hyperspectral imagery—what is possible?
Paper presented at the Geoscience and Remote Sensing Symposium, 2001. IGARSS ’01.
IEEE 2001 International.
Li, D-C., and Liu, C-W. 2010. A class possibility based kernel to increase classification
accuracy for small data sets using support vector machines. Expert Systems with Applications 37:3104–3110.
Liu, C., Frazier, P., and Kumar, L. 2007. Comparative assessment of the measures of thematic
classification accuracy. Remote Sensing of Environment 107:606–616.
Lu, D., and Weng, Q. 2007. A survey of image classification methods and techniques for improving classification performance. International Journal of Remote Sensing 28(5):823–870.
Manakos, I., Manevski, K., Petropoulos, G. P., Elhag, M., and Kalaitzidis, C. 2010. Development of a spectral library for Mediterranean land cover types. Paper presented at the 30th
EARSeL Symp.: Remote Sensing for Science, Education and Natural and Cultural Heritage,
Chania, Greece.
Manevski, K., Manakos, I., Petropoulos, G. P., and Kalaitzidis, C. 2011. Discrimination of
common Mediterranean plant species using field spectroradiometry. International Journal
of Applied Earth Observation and Geoinformation 13(6):922–933.
Manevski, K., Manakos, I., Petropoulos, G. P., and Kalaitzidis, C. 2012. Spectral discrimination of Mediterranean maquis and phrygana vegetation: Results from a case study in greece.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
5(2):604–616.
Mariotti, M., Ercoli, L., and Masoni, A. 1996. Spectral properties of iron-deficient corn and
sunflower leaves. Remote Sensing of Environment 58(3):282–288.
Mathur, A., Bruce, L. M., and Byrd, J. 2002. Discrimination of subtly different vegetative
species via hyperspectral data. Igarss 2002: IEEE International Geoscience and Remote
Sensing Symposium and 24th Canadian Symposium on Remote Sensing, Vols I–Vi,
Proceedings, pp. 805–807.
McCoy, R. M. 2004. Field Methods in Remote Sensing. Guilford Publications. New York, NY.
Miao, X., Gong, P., Swope, S., Pu, R., Carruthers, R., Anderson, G., Heaton, J., and
Tracy, C. R. 2006. Estimation of yellow starthistle abundance through CASI-2 hyperspectral imagery using linear spectral mixture models. Remote Sensing of Environment 101:329–
341.
Milton, E. J., Fox, N. P., and Schaepman, M. E. 2006. Progress in field spectroscopy.
IEEE International Geoscience and Remote Sensing Symposium, Vols. 1–8, pp. 1966–
1968.
316
HYPERSPECTRAL REMOTE SENSING WITH EMPHASIS ON LAND COVER MAPPING
cover classification for forest fire management based on imagine spectrometry and LiDAR
data. Forest Ecology and Management 256(3):263–271.
Kruse, F. A., Lefkoff, A. B., Boardman, J. W., Heidebrecht, K. B., Shapiro, A. T., Barloon,
P. J., and Goetz, A. F. H. 1993. The Spectral Image Processing System (SIPS)—Interactive
visualization and analysis of imaging spectrometer data. Remote Sensing of Environment
44:145–163.
Lacar, F. M., Lewis, M. M., and Grierson, I. T. 2001. Use of hyperspectral reflectance for
discrimination between grape varieties. Paper presented at the Geoscience and Remote
Sensing Symposium, 2001. IGARSS ’01. IEEE 2001 International.
Lewis, M. M. 2001. Discriminating vegetation with hyperspectral imagery—what is possible?
Paper presented at the Geoscience and Remote Sensing Symposium, 2001. IGARSS ’01.
IEEE 2001 International.
Li, D-C., and Liu, C-W. 2010. A class possibility based kernel to increase classification
accuracy for small data sets using support vector machines. Expert Systems with Applications 37:3104–3110.
Liu, C., Frazier, P., and Kumar, L. 2007. Comparative assessment of the measures of thematic
classification accuracy. Remote Sensing of Environment 107:606–616.
Lu, D., and Weng, Q. 2007. A survey of image classification methods and techniques for improving classification performance. International Journal of Remote Sensing 28(5):823–870.
Manakos, I., Manevski, K., Petropoulos, G. P., Elhag, M., and Kalaitzidis, C. 2010. Development of a spectral library for Mediterranean land cover types. Paper presented at the 30th
EARSeL Symp.: Remote Sensing for Science, Education and Natural and Cultural Heritage,
Chania, Greece.
Manevski, K., Manakos, I., Petropoulos, G. P., and Kalaitzidis, C. 2011. Discrimination of
common Mediterranean plant species using field spectroradiometry. International Journal
of Applied Earth Observation and Geoinformation 13(6):922–933.
Manevski, K., Manakos, I., Petropoulos, G. P., and Kalaitzidis, C. 2012. Spectral discrimination of Mediterranean maquis and phrygana vegetation: Results from a case study in greece.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
5(2):604–616.
Mariotti, M., Ercoli, L., and Masoni, A. 1996. Spectral properties of iron-deficient corn and
sunflower leaves. Remote Sensing of Environment 58(3):282–288.
Mathur, A., Bruce, L. M., and Byrd, J. 2002. Discrimination of subtly different vegetative
species via hyperspectral data. Igarss 2002: IEEE International Geoscience and Remote
Sensing Symposium and 24th Canadian Symposium on Remote Sensing, Vols I–Vi,
Proceedings, pp. 805–807.
McCoy, R. M. 2004. Field Methods in Remote Sensing. Guilford Publications. New York, NY.
Miao, X., Gong, P., Swope, S., Pu, R., Carruthers, R., Anderson, G., Heaton, J., and
Tracy, C. R. 2006. Estimation of yellow starthistle abundance through CASI-2 hyperspectral imagery using linear spectral mixture models. Remote Sensing of Environment 101:329–
341.
Milton, E. J., Fox, N. P., and Schaepman, M. E. 2006. Progress in field spectroscopy.
IEEE International Geoscience and Remote Sensing Symposium, Vols. 1–8, pp. 1966–
1968.
316
HYPERSPECTRAL REMOTE SENSING WITH EMPHASIS ON LAND COVER MAPPING