International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B7. Istanbul 2004 
  
Figure 4: Aerial view or Cachoeira Natural Reserve. In the 
detail is shown buffalos and coal furnaces. 
2.2 Planning and Development 
2.2.1 Definition of the baseline in the embracement area — 
EPA of Guaraqueçaba 
In order to evaluate a demonstration of the dynamics of the 
area under study, with and without the existence of the SPVS 
project, information were collected. Two methods were 
employed which enabled a comparison and a 
complementation of the information. The area under study 
was limited within the EPA of Guaraquecaba (314,000 
hectares). The results of these analysis generate data about 
the carbon amount to be captured by the project alongside its 
duration. The two evaluations done are the multitemporal 
study from the orbital images and another, also based on 
orbital images, but with additional details that made possible 
the Shape (Modelling). 
2.2.1.1 Multitemporal Study of the land use from the 
orbital images: Land Use Mapping for the years 1986, 1994 
and 1999, based on the Landsat 5 TM sattelite images, bands 
543, RGB colour composition and 30m spatial resolution. 
The method used was the supervised digital classification 
with field gauging of the points considered as critical and 
originated by samples. The results were cross-referenced and 
the result was a map with the changing in areas for the 
period. The hydrographic and road data were also cross- 
referenced and as a consequence it was noted that the 
changes occurred mainly alongside the roads and accesses. 
d 4 
    
Figure 5: Map of Land 
Use by 1999 (Part of 
the Multitemporal 
Study) 
808 
2.2.12 Shaping — Geomod ': A land use study for the 
years 1975, 1986 and 2002 was done by supervised digital 
interpretation, but in a different way of the multitemporal 
study already mentioned. Such a mapping has as outcome the 
vegetation and non-vegetation classes for the shaded and 
non-shaded areas of the satellite images. The imagens had a 
30m resolution, RGB coloured composition of the bands 4, 3 
and 2 from the Landsat TM (1075) satellite and bands 5, 4 
and 3 from the Landsat 5 TM (1986) and Landsat ETM 7 
satellites (2002). 
From the understanding of land use covering changes 
dynamics it is possible to build mathematic models for 
scenario generation with a good reliability in the land 
covering status in simulations for past and future. For the 
model build-up there were considered variables that 
maximize or minimize the human-related activities in the 
environment. These variables were the distances from 
hydrographic ways, from paved and non-paved roads, sea 
border, deforestation and from communities, slopes, 
hipsometry, water sources orientation, soils and hidrografic 
basins. 
For the shape execution it was used the GEOMOD program, 
an IDRISI module. The program analyses the vegetation data 
in reference to the two dates and calculates the changes in a 
linear form. In addition it simulates the vegetation status in 
the past and in the future based on the use of the interference 
variable in the deforestation or reforestation. 
The characteristics of each region are also considered inside 
the area under study, as they can influence the analysis in a 
differentiated maner. 
2.2.2 Area compartmentation in terms of physical 
environment — geoambiental map as a subsidy to the projects 
planning 
The zones with similar characteristics were delimited from 
overlapping of the issues in a GIS ambient (secondary data). 
The data relating to Soils, Geology, Relief, Climate, 
Hydrography and Hydrogeology were intersected and, by the 
use of the characterization rules, the Homogeneous 
Geoambiental Units were achieved. 
2.2.3 Projects influence areas 
The projects influence areas were defined from the following 
characteristics: 
DAA - direct affected area (ADA — área diretamente afetada) 
— an area restricted to physical-territorial sites of farms 
already effectively acquired or even those in the prospection 
phase. Over these areas the actions for degraded areas 
recovering due to the forest suppression must be 
concentrated. 
  
* Some of the work and results presented in this article were 
generated with the support of the U.S. Department of Energy, 
under Award No. DE-FC26-0INT41151. However, any 
opinions, findings, conclusions, or recommendations 
expressed herein are those of the author(s) and do not 
necessarily reflect the views of the DOE. 
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