162
ISPRS Working Group VII/1 Workshop ISPMSRS’07: “Physical Measurements and Signatures
in Remote Sensing.”, pp. 334–340. Davos, Switzerland (2007)
Jiménez, M., González, M., Amaro, A., Fernández-Renau, A.: Field spectroscopy metadata system
based on ISO and OGC standards. ISPRS Int. J. Geo-Inf. 3, 1003–1022 (2014). doi:10.3390/
ijgi3031003
Kalacska, M., Sanchez-Azofeifa, G.A., Rivard, B., et al.: Ecological fingerprinting of ecosystem
succession: estimating secondary tropical dry forest structure and diversity using imaging spectroscopy. Remote Sens. Environ. 108, 82–96 (2007). doi:10.1016/j.rse.2006.11.007
Kamal, M., Phinn, S.: Hyperspectral data for mangrove species mapping: a comparison of pixelbased and object-based approach. Remote Sens. 3, 2222–2242 (2011). doi:10.3390/rs3102222
Kaufmann, H., Segl, K., Guanter, L., et al.: Environmental Mapping and Analysis Program
(EnMAP) – Recent Advances and Status. In: IGARSS 2008–2008 IEEE International
Geoscience and Remote Sensing Symposium, pp. IV-109-IV-112 (2008)
Kerekes, J.P., Baum, J.E.: Full-spectrum spectral imaging system analytical model. IEEE Trans.
Geosci. Remote Sens. 43, 571–580 (2005). doi:10.1109/TGRS.2004.841428
Keshava, N., Mustard, J.F.: Spectral unmixing. IEEE Signal Process. Mag. 19, 44–57 (2002).
doi:10.1109/79.974727
Leutner, B.F., Reineking, B., Müller, J., et al.: Modelling Forest α-diversity and floristic composition — on the added value of LiDAR plus hyperspectral remote sensing. Remote Sens. 4,
2818–2845 (2012). doi:10.3390/rs4092818
Manakos, I., Manevski, K., Petropoulos, G., et al.: Development of a spectral library for mediterranean land cover types (2010)
Manevski, K., Manakos, I., Petropoulos, G.P., Kalaitzidis, C.: Discrimination of common
Mediterranean plant species using field spectroradiometry. Int. J. Appl. Earth Obs. Geoinf. 13,
922–933 (2011). doi:10.1016/j.jag.2011.07.001
McGwire, K., Minor, T., Fenstermaker, L.: Hyperspectral mixture modeling for quantifying
sparse vegetation cover in arid environments. Remote Sens. Environ. 72, 360–374 (2000).
doi:10.1016/S0034-4257(99)00112-1
Miao, X., Gong, P., Swope, S., et al.: Estimation of yellow starthistle abundance through CASI-2
hyperspectral imagery using linear spectral mixture models. Remote Sens. Environ. 101, 329–
341 (2006)
Milton, E.J., Schaepman, M.E., Anderson, K., Kneubühler, M., Fox, N.: Progress in field spectroscopy. Remote Sens. Environ. 113, 92–109 (2009)
Möckel, T., Dalmayne, J., Prentice, H.C., et al.: Classification of grassland successional stages
using airborne hyperspectral imagery. Remote Sens. 6, 7732–7761 (2014). doi:10.3390/
rs6087732
Muñoz-Reinoso, J.C., Novo, F.G.: Multiscale control of vegetation patterns: the case of Doñana
(SW Spain). Landsc. Ecol. 20, 51–61 (2005). doi:10.1007/s10980-004-0466-x
Nagendra, H., Rocchini, D., Ghate, R., et al.: Assessing plant diversity in a dry tropical Forest:
comparing the utility of Landsat and Ikonos satellite images. Remote Sens. 2, 478–496 (2010).
doi:10.3390/rs2020478
Oakley, K.L., Thomas, L.P., Fancy, S.G.: Guidelines for long-term monitoring protocols. Wildl.
Soc. Bull. 31, 10001003 (2003)
Pfitzner, K., Bollhöfer, A., Esparon, A., et al.: Standardised spectra (400–2500 nm) and associated metadata: An example from northern tropical Australia. In: 2010 IEEE International
Geoscience and Remote Sensing Symposium, pp. 2311–2314 (2010)
Reusen, I., Holzwarth, S., Nieke, J., et al.: Towards an improved access to hyperspectral data across
Europe (HYRESSA). In: Proceedings of the 5th EARSeL SIG IS workshop on IMAGING
SPECTROSCOPY: innovation in environmental research, EARSeL, Bruges, Belgium (2007)
Richter, R., Bachmann, M., Dorigo, W., Muller, A.: Influence of the adjacency effect on ground
reflectance measurements. IEEE Geosci. Remote Sens. Lett. 3, 565–569 (2006). doi:10.1109/
LGRS.2006.882146
M. Jiménez and R. Díaz-Delgado
ISPRS Working Group VII/1 Workshop ISPMSRS’07: “Physical Measurements and Signatures
in Remote Sensing.”, pp. 334–340. Davos, Switzerland (2007)
Jiménez, M., González, M., Amaro, A., Fernández-Renau, A.: Field spectroscopy metadata system
based on ISO and OGC standards. ISPRS Int. J. Geo-Inf. 3, 1003–1022 (2014). doi:10.3390/
ijgi3031003
Kalacska, M., Sanchez-Azofeifa, G.A., Rivard, B., et al.: Ecological fingerprinting of ecosystem
succession: estimating secondary tropical dry forest structure and diversity using imaging spectroscopy. Remote Sens. Environ. 108, 82–96 (2007). doi:10.1016/j.rse.2006.11.007
Kamal, M., Phinn, S.: Hyperspectral data for mangrove species mapping: a comparison of pixelbased and object-based approach. Remote Sens. 3, 2222–2242 (2011). doi:10.3390/rs3102222
Kaufmann, H., Segl, K., Guanter, L., et al.: Environmental Mapping and Analysis Program
(EnMAP) – Recent Advances and Status. In: IGARSS 2008–2008 IEEE International
Geoscience and Remote Sensing Symposium, pp. IV-109-IV-112 (2008)
Kerekes, J.P., Baum, J.E.: Full-spectrum spectral imaging system analytical model. IEEE Trans.
Geosci. Remote Sens. 43, 571–580 (2005). doi:10.1109/TGRS.2004.841428
Keshava, N., Mustard, J.F.: Spectral unmixing. IEEE Signal Process. Mag. 19, 44–57 (2002).
doi:10.1109/79.974727
Leutner, B.F., Reineking, B., Müller, J., et al.: Modelling Forest α-diversity and floristic composition — on the added value of LiDAR plus hyperspectral remote sensing. Remote Sens. 4,
2818–2845 (2012). doi:10.3390/rs4092818
Manakos, I., Manevski, K., Petropoulos, G., et al.: Development of a spectral library for mediterranean land cover types (2010)
Manevski, K., Manakos, I., Petropoulos, G.P., Kalaitzidis, C.: Discrimination of common
Mediterranean plant species using field spectroradiometry. Int. J. Appl. Earth Obs. Geoinf. 13,
922–933 (2011). doi:10.1016/j.jag.2011.07.001
McGwire, K., Minor, T., Fenstermaker, L.: Hyperspectral mixture modeling for quantifying
sparse vegetation cover in arid environments. Remote Sens. Environ. 72, 360–374 (2000).
doi:10.1016/S0034-4257(99)00112-1
Miao, X., Gong, P., Swope, S., et al.: Estimation of yellow starthistle abundance through CASI-2
hyperspectral imagery using linear spectral mixture models. Remote Sens. Environ. 101, 329–
341 (2006)
Milton, E.J., Schaepman, M.E., Anderson, K., Kneubühler, M., Fox, N.: Progress in field spectroscopy. Remote Sens. Environ. 113, 92–109 (2009)
Möckel, T., Dalmayne, J., Prentice, H.C., et al.: Classification of grassland successional stages
using airborne hyperspectral imagery. Remote Sens. 6, 7732–7761 (2014). doi:10.3390/
rs6087732
Muñoz-Reinoso, J.C., Novo, F.G.: Multiscale control of vegetation patterns: the case of Doñana
(SW Spain). Landsc. Ecol. 20, 51–61 (2005). doi:10.1007/s10980-004-0466-x
Nagendra, H., Rocchini, D., Ghate, R., et al.: Assessing plant diversity in a dry tropical Forest:
comparing the utility of Landsat and Ikonos satellite images. Remote Sens. 2, 478–496 (2010).
doi:10.3390/rs2020478
Oakley, K.L., Thomas, L.P., Fancy, S.G.: Guidelines for long-term monitoring protocols. Wildl.
Soc. Bull. 31, 10001003 (2003)
Pfitzner, K., Bollhöfer, A., Esparon, A., et al.: Standardised spectra (400–2500 nm) and associated metadata: An example from northern tropical Australia. In: 2010 IEEE International
Geoscience and Remote Sensing Symposium, pp. 2311–2314 (2010)
Reusen, I., Holzwarth, S., Nieke, J., et al.: Towards an improved access to hyperspectral data across
Europe (HYRESSA). In: Proceedings of the 5th EARSeL SIG IS workshop on IMAGING
SPECTROSCOPY: innovation in environmental research, EARSeL, Bruges, Belgium (2007)
Richter, R., Bachmann, M., Dorigo, W., Muller, A.: Influence of the adjacency effect on ground
reflectance measurements. IEEE Geosci. Remote Sens. Lett. 3, 565–569 (2006). doi:10.1109/
LGRS.2006.882146
M. Jiménez and R. Díaz-Delgado