however, was detected in a relatively large area in the study
region, even though its cover fraction would be under 0.33 in
the 75% of cases. Probably, a particularly high spectral
differentiation of E. arborea with respect to other species
during its flowering period. The species distribution is shown
separately in table 3, according to three main areas in the study
region: plantations, mature forest and degraded forest.
4. CONCLUSIONS
A hierarchical MESMA approach applied to WV2 data
produced a fairly realistic dataset of species distribution and
cover area in the native forests of the study region. A
multitemporal approach should be taken into consideration,
especially in the presence of species like E. arborea, which
remarkably differs from the rest during the flowering period.
Future work should focus on spectral libraries enrichment for
larger areas of study, and the generation of extensive validation
data by means of an accurate method of cover fraction, given
the limitations of the existing forest inventories in the area of
interest.
5. REFERENCES
Adams, J.B., Smith, M.O. and Gillespie, A.R.1993. Imaging
spectrometry: interpretation based on spectral mixture analysis,
In Pieters CM, Englert P, editors. Remote geochemical
analysis: elemental and mineralogical composition, 7, pp.145-
166. Cambridge Univ. Press, New York, U.S.A.
del Arco Aguilar, M. J., Gonzälez-Gonzälez, R., Garzön-
Machado, V., Pizarro-Hernändez, B. 2010. Actual and
potential natural vegetation on the Canary Islands and its
conservation status. Biodiversity and Conservation, 19, pp.
3089-3140.
Franke, J., Roberts, D.A., Halligan, K. and Menz, G. 2009.
Hierarchical Multiple Endmember Spectral Mixture Analysis
(MESMA) of hyperspectral imagery for urban environments.
Remote Sensing of Environment, 113(8), pp. 1712-1723.
Rivas-Martinez, S., Diaz, T.E., Fernändez-Gonzälez, F., Izco,
J., Loidi, J., Lousä, M.E. and Penas, A. 2002. Vascular plant
communities of Spain and Portugal. Addenda to
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Roberts, D.A., Adams, J.B. and Smith, M.O. 1993.
Discriminating Green Vegetation, Non-Photosynthetic
Vegetation and Soils in AVIRIS Data. Remote Sensing of
Environment, 44, pp. 255-270.
Roberts, D.A., Gardner, M., Church, R., Ustin, S., Scheer, G.,
Green, R.O. 1998. Mapping Chaparral in the Santa Monica
Mountains using Multiple Endmember Spectral Mixture
Models. Remote Sensing of Environment, 65, pp. 267-279.
Schmidt K.S. and Skidmore, AK. 2003. Spectral
discrimination of vegetation types in a coastal wetland. Remote
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Settle, J.J. and Drake, N.A. 1993. Linear mixing and the
estimation of ground cover proportions. International Journal
of Remote Sensing, 14(6), pp. 1159-1177.
Somers, B., Cools, K., Delalieux, S. Stuckens, J., Van der
Zande, D., Verstraeten, W.W. and Coppin, P. 2009. Nonlinear
hyperspectral mixture analysis for tree cover estimates in
orchards. Remote Sensing of Environment, 113, pp. 1183-1193
Updike, T. and Comp, C. Radiometric Use of WorldView-2
Imagery. 2010. Technical note. Digital Globe Inc., Longmont,
Colorado, U.S.A.
Youngentob, K. N., Roberts, D. A., Held, A. A., Dennison, P.
E, Jia, X, Lindenmayer, D. B. 2011. Mapping two
Eucalyptus subgenera using multiple endmember spectral
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6. AKNOWLEDGEMENTS
This work was supported by the Spanish Ministry of Science
and Innovation under grant CGL2010-22189-CO2/CLI. The
contribution of Ben Somers was supported by the Belgian
Science Policy Office in the frame of the Stereo II progralle -
project VEGEMIX (SR/67/146).
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