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The figure 4 shows the area with example to Early Stage in 
Forest Conservation . It's possible observes the existence of few 
species. 
    
Figure 4. Types of vegetation - Early Stage in Forest 
Conservation 
The Figure 5 shows the area vegetation classified as Forest 
Conservation Internship in Secondary. There is a clear 
difference in the texture of the vegetation and a more diversity 
species. 
  
  
Figure 5. Types of vegetation — Forest Conservation Internship 
in Secondary 
The Figure 6 show a sample of the Advanced Internship in 
Forest Conservation. 
  
  
  
Figure 6. Types of vegetation — Advanced Internship in Forest 
Conservation. 
After identification of classes for field work were generated 
graphics reflectance curves for each class. The results are shown 
in Figure 7. 
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012 
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia 
  
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Figure 7. Reflectance of different vegetation cover 
All classes considered in the study had different spectral 
responses, allowing to separate the targets. The location of the 
sample and the influence of topography are important factors to 
define and differentiate each class. 
The classes F1, F2, F3 and pasture showed different spectral 
responses, considering the average of the samples. By 
analyzing separately each class is it possible see the difference 
between the samples in front of the north position or the south. 
Some classes Fl and F2 showed similar responses and were 
eliminated during the analysis. Some classes had interference 
from shadows, because it is a region with great variation in 
topography and floristic diversity. 
This initial analysis identified the different responses of each 
coverage that will generate a more detailed mapping of each 
vegetation type. The classification will be made in next stage 
using object-oriented classification. 
4. CONCLUSIONS 
The vegetation is the target of many strategies for conservation 
in Brazil. The use of a hyperspectral sensor is intended to 
support the demands for use and land cover classification, of the 
different stages of conservation of vegetation in the areas of 
interest. In future steps will be carried out further analysis to 
identify new classes, as well the as comparison with data 
collected in the new field. The remote sensing Hyperspectral 
has been shown promise for the analysis the vegetation. 
5. REFERENCES 
Ponzoni, F. J.; Shimabukuru, Y. E. Sensoriamento Remoto no 
Estudo da Vegetaçäo. Säo José dos Campos. Sindicato 
Nacional de Editores de Livros. 2007. 
Souza, A. A. Estudo de Fitofisionomias de cerrado com dados 
de sensor Hyperion/EO-l. Dissertacáo de Mestrado em 
Sensoriamento Remoto - Instituto Nacional de Pesquisas 
Espaciais, Sáo José dos Campos, 117p. 2009. 
Goel, N.S. Models of vegetation canopy reflectance and their 
use in estimation of biophysical parameters from reflectance 
data. Remote Sensing Reviews, v.4, p. 1-24, 1988.