plant canopy can not be explained only by the characteristics of 
this canopy. This way is important to know every the 
characteristics of the landscape. 
2. METHODS 
2. Techniques and Softwares 
The methodology implemented for this study addressed the 
acquisition of Hyperion satellite imagery, pre-processing to the 
scenes, samples selection for appointment of vegetation classes 
and analysis of results from the spectral response graphs for 
each class. 
The acquisition was made by access to e-mail address: 
http://glovis.usgs.gov. The image used was acquired by the 
sensor on July 13, 2010. 
During the pre-processing was used the software ENVI and the 
tool hyperion tools.sav that allowed the inclusion of scenes and 
correction of the noise characteristics, in the form LIR. Later 
was selected the tool for converting raw data into a new file 
format has the ENVI software. This procedure was necessary 
because the step of atmospheric correction of images requires 
scenes with the extension feature of the software. 
Para a realizaçäo da correçäo atmosférica foi utilizado o modulo 
FLAASH (Fast Atmospheric sigt Analyst Line of the Spectral 
Hypercube) presente no software ENVI. The parameters 
adopted for the implementation of atmospheric correction were: 
- sensor altitude: 705 km (above sea level); 
- mean elevation of the image area 0.6 km (kilometers above the 
sea); 
- pixel size 30m; 
- UTC time - 12h38m$4s; 
- atmospheric model "Mid-Latitude Summer"; 
- aerosol model - rural scattering algorithm MODTRAN - 
ISAACS. 
The final step corresponded to the geometric correction of the 
scene from Digital Elevation Models on the scale of 1:25,000, 
provided by the Brazilian Institute of Geography and Statistics - 
IBGE, and orthophotos on the same scale. With the support of 
this material were collected 23 control points for the 
implementation of the adjustment of the scenes and another 21 
points to verify the results obtained. The orthorectification was 
performed at the PCI Geomatics OrthoEngine software version 
10. To evaluate the results obtained by the geometric correction, 
the bands were compared before and after the orthorectification, 
and classified according to Standard Cartographic Accuracy - 
PEC, according to current law in Brazil. The PEC is a statistical 
indicator of dispersion on the 90% probability, which defines 
the accuracy of cartographic works on a national scale. The 
probability of 90% corresponds to 1.6449 times the standard 
error. 
After adjusting the image was carried out field work to identify 
different classes of vegetation and the stages of conservation. 
Some samples were selected. Were considered: Pasture - P, 
Capoeira - S, Early Stage in Forest Conservation — F1, Forest 
Conservation Internship in Secondary - F2 and Advanced 
Internship in Forest Conservation - F3. Among the parameters 
considered for this classification is the species diversity and 
degree of canopy closure. 
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 
   
Finally, after completion of the image processing , some curves 
were created representing the spectral reflectance of the objects. 
In this stage was is possible identify the different responses for 
each class. 
3. RESULTS AND DISCUSSION 
The atmospheric correction enabled the improvement in spectral 
response of the targets, especially in areas with vegetation 
cover. 
The results observed after the orthorectification of the scene 
showed that the product meets the class B to a scale of 1:50,000 
as indicated by PEC. 
3.1 Vegetation cover 
During the field work were initially identified Pasture samples 
as seen in Figure 2. This class is very common, especially near 
the roads. 
  
    
Figure 2. Types of vegetation — Pasture in Duque de Caxias 
city. 
The Figure 3 highlights a sample collected to differentiate the 
areas of capoeira vegetation. The field survey confirmed this 
characterization, as well as, details to the biophysical 
characteristics of the vegetation cover. 
  
  
Figure 3. Types of vegetation - Capoeira