International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B7. Istanbul 2004
analysis and the calculations indicate the fact that the most
privileged area from an ecological point of view — an area with
parks and lakes — is in the north, whereas the most
underprivileged area is superposed on the densely constructed
central area.
3.2. The quality of constructed areas
The quality of the urban environment is also given by the
characteristics of man-made elements. Satellite images, even if
they are of high resolution and large scale, do not allow the
representation and evaluations but of some of these: the density
of buildings, the road network.
Figure 4. The great density of the residential buildings
(over 8096) from Pipera district which is situated in a most
favorable ecologic conditions zone (northern part of the city)
reduces the urban environment quality in this area.
- the density of buildings can be estimated (calculated) through
the analysis of the satellite images taken by sensors of high
resolutions. (Móller, 2003; Voorde Van de et al., 2004; Cetin &
Musaoglu, 2004). The interpretation of the urban morphology
and the spectral composition analysis of the elements that
compose the urban tissue make it possible to determine the
classes of density of constructed areas (on the basis of the
radiometric environments of these homogeneous spaces) and to
map the corresponding areas (Fahsi et al., 1996). Class 1 has a
density of 0-35% (reduced density), class 2 has a medium
density (35-65%) and class 3 has a density of 65-100 % (high
density).
It is known that the density of buildings and implicitly the
density of the population influence the quality of life in the
urban environment. The denser the buildings and the more
numerous the population the more the pressure on the
environment is higher and the discomfort in the urban
environment increases (Figure 4).
- the road network conditions the traffic on land (its fluency,
intensity, distribution and structure) but also the degree of air
pollution. On the IKONOS images we can clearly see the road
network: the structures (from the general radial-concentric one
of the entire city of Bucharest to the different structures specific
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to the functional areas and to the areas of buildings), the
connections between diverse structures that facilitate the flows
in different directions inside and outside the city and also the
critical points (discontinuities, variations of the transversal
profile of the streets), the relations between the big traffic
arteries and the zones of major public interest (the central area,
residential areas, parks, cultural, commercial, sports centers).
(Loghin, 2003)
4. THE DELIMITATION OF AREAS IN SECTOR 1,
BUCHAREST, ON THE BASIS OF THE QUALITY
CRITERIA AND PARAMETERS THAT CAN BE
EVALUATED THROUGH THE ANALYSIS OF HIGH
RESOLUTION SATELLITE IMAGES
By considering the criteria and by cumulating the parameters
estimated through the analysis of IKONOS images it is possible
to partially define the environmental quality criteria and to draw
the limits between the areas that correspond to them. This
opportunity has been demonstrated only for sector 1, Bucharest,
an area characterized by a huge diversity of aspects. The urban
environment qualitative criteria that were established are: very
good (without industrial sources of pollution, with green areas
of 35-40 m?/ inhabitant, reduced density of buildings: 0-35%),
good (with industrial sources of pollution having a reduced
impact, air pollution caused by traffic, green areas of 15-20 m/
inhabitant, density of buildings: 35-6596), middling (intense air
pollution caused by traffic, green areas 5-10 m/ inhabitant,
density of buildings: 65-100%), precarious (very intense
pollution generated by the traffic, green areas of less than 5 m*/
inhabitant, associated or not with the density of buildings of 65-
100%).(Figure 5).
Urban Environment:
VG - Very Good
G - Good
M - Middling
P -Precarious
Figure 5. Determination of the environment quality categories
in the first sector of Bucharest city based on IKONOS image
interpretation
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