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
SPECTRAL ANALYSIS OF DIFFERENT VEGETATION COVER USING THE
HYPERION SENSOR - A CASE STUDY IN THE STATE OF RIO DE JANEIRO - BRAZIL
E. M. F. R. de Souza ??, , R. S. Vicens *, A. E. P. Rosa *, C. B. M. Cruz?
a UFF, Dept. of Geography, Federal University Fluminense, Brazil, Niteroi - (elizabethmfr, rsvicens,
anely2509)@gmail.com
b UFRJ, Dept. of Geography, Federal University of Rio de Janeiro, Brazil, Rio de Janeiro, (carlamad@gmail.com)
Commission VII/3
KEY WORDS: Hyperespectral, Vegetation cover, Landscape, Remote Sensing, Atlantic Forest.
ABSTRACT:
The knowledge about of land use and current status of vegetation represent important steps in understanding the spatial dynamics in
areas with increased removal of vegetation and human disturbance. This feature is very common in its Brazil considering the
biophysical diversity observed. In this sense, interest in patterns and processes that lead to environmental changes has been receiving
great support from geoprocessing and remote sensing for monitoring, environmental and planning of natural resources. Following
this trend, the study uses products from hyperspectral geotechnology to identify new methods of analysis of the landscape, in areas
with vegetation remnants of Atlantic Forest in the State of the Rio de Janeiro.
1. INTRODUCTION
1.1 Relevance of the Research
This study seeks to determine the classification targets that
represent the vegetation Atlantic Forest using hyperspectral
remote sensing. Actions focused on environmental management
and control of deforestation will be benefited with the results.
In this context is important to note that the use of
geotechnologies, especially the remote sensing techniques
already were adopted in studies of different vegetation covers
during the '40s through the use of the aerial photographs. The
results obtained by RADAM Brazil represent an important
milestone for the application of this tool. This aspect is
important because show the beginning to specific applications
in landscape and the classification of images or photos for the
generation of thematic maps.
According Ponzoni and Shimabukuro (2007) during the 80
begin the activities for the classification of different vegetation
cover with an emphasis on qualitative analysis. The context
begins to change from the 90's. In this moment arise new
studies with remote sensing to explore the quantitative aspects,
from the study of correlation between the biophysical and
geophysical parameters of the environment, and radiometric
data extracted from the images.
1.2 Objectives and Study Area
The aim of this study is to explore a geotechnology still little
known among specialists in geosciences, especially geography,
in order to identify the stages of vegetative conservation,
considering the different spectral responses of vegetation in a
section with the availability of hyperspectral images, in the
State of Rio de Janeiro - Brazil. They are specifics objectives:
Analysis of hyperspectral images and spectral responses for the
different types surface, highlighting the spectral responses
obtained for the structures of forest fragments in approximate.
scale of 1:100,000, using the samples and analysis of resulting
graphs.
The study area covers the cities of Paraíba do Sul, Areal,
Petrópolis and Duque de Caxias, in the Rio de Janeiro state.
The Figure 1 highlights the study area.
Figure 1. Study area
According to Souza (2009) the knowledge about the spectral
behavior of vegetation is essential for the correct extraction of
different classes from the images.
According to Goel (1988), the radiation detected by the sensors
is a function of parameters of the radiation source, the
atmosphere, canopy of the trees, soil, parameters of the sensor.
So what is actually measured by a remote sensor come from a
