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USE OF IKONOS II DATA FOR URBAN ANALYSIS: OPERATIONAL TESTS IN
EASTERN SÃO PAULO CITY
ABSTRACT
This work presents an application methodology of Remote Sensing and Geographic
Information Systems (GIS) aiming to analyze the contribution of high resolution image
data from IKONOS II satellite, for the implementation of a highway as well as for urban
development. The area under study is located at the eastern section of São Paulo
Metropolitan Region, where the eastern segment of the ring road called “Rodoanel
Metropolitano de São Paulo” will be implanted. In order to use Remote Sensing and GIS
techniques properly, the fundamentals of the methodology were presented, explaining why
they were used. In this study thematic data of Geology, Geomorphology and Topography
were used, showing the potential of these information in a GIS. The following image data
were used: Landsat 7 ETM+ bands 1,4, and 7, SPOT 4 panchromatic band, IKONOS II
multispectral bands 1,2 and 3 and the panchromatic band. Several experiments were done
with these data, integrating them through a transformation of the color space. Using relief
information associated to IKONOS II data, an animation was done, demonstrating the local
topography in 3D. The information on land use/land cover were obtained through an image
from the transformation of the color space from IKONOS II, followed by a thematic
classification using the new application software eCognition. This package uses a new
concept for image analysis: it uses the object oriented classification. The results of this
study showed that the integration of the panchromatic IKONOS II image with the
multispectral Landsat 7 ETM+ scene, through the transformation in the color space, did not
present good results. Nevertheless, the object oriented classification allows new
alternatives, such as: discrimination of classes to evaluate spectral bands separately by size,
form, texture and number of borders of a thematic class. With this procedure, there is a
higher interaction between the classifier and the scene to be classified.