34, 2012
> the work and
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suitable radius
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over other area
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rrectly by the
1 by a direct
ayer. The snap
ctive layers as
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wards to 1988,
wyers and 4 3d
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and quantified.
d by the older
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imported into a
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and the lad-use
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only the label
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id been created
oint database.
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B4, 2012
XXII ISPRS Congress, 25 August —
4. RESULTS AND INTERPRETATION
10096 un
9076 et a
80% | & Water bodies
70% -
60%
50%
40%
30%
ea Natural areas (forest,
wetlands, etc.)
Agricultural areas
| ElGreen urban areas
Ei Industrial, commercial &
| transport services
20% | BlUrban fabric
10%
0%
1945 1968 1988 2000
Figure 2:
The land-use change by groups of MOLAND Classes.
The following chapter will give some glance of the possibilities
of statistical operations done on the land-use data of the
different years. The figure 2 shows the main changes in
different legendary-groups. Grow of residential arca (urban
fabric) is strong, mainly between 1968 and 1988. The same can
be detected at the business area. In the same time the
agricultural area lost space. Interesting is, that the forest shows
an increase since 1988 after the loss before.
—æ Urban fabri
100 Urban fabric
«9 s Agrieukural areas
Sum - cue dustrial, commercial &
transport services
50000 caet
; p + Matured areas forests,
40000 Uoc Se)
* Green uten areas
20000
oa um i : : > Waler bodes (wiht
999r Ppptreo»pnri:.ov ses)
90835%#5585518548
nc B
Figure 3: Grow of the different groups by linear time-scale and
trend-graphs
Figure 3 shows the change from the agricultural land-use to the
urbanised area of Istanbul. In the graphic has been made the
time-scale linear to enable trend-analyses by using polynomial
function of second degree. The trend however might be over-
Sized but even an effective visualisation of the future. To
combine this data with demographic ones, gives another
indication,
In this graphic 4 the populations grow and the increase or
residential areca has been compared. Very interesting is the
extreme growing between 68 and 88 of the residential surface.
In the detailed study can be seen, that a big amount was in less
dense residential areas, might be legalised Gecekondu area. The
Population grew as well but not as strong, the growth rate is
smaller. After 1988 the situation changed. Both lines still have a
Strong increase, but at the residential surface it slows down
meanwhile the population rate increases. This affects a higher
density of the citizens in Istanbul.
01 September 2012, Melbourne, Australia
"residential surface
Figure 4: Growth of population and residential surface.
More big buildings with bigger density have been built. These
types of residences grow strong, similar to the population
increase. By interpretation of the CHANGE-Data, key-areas of
specific change can be detected and analysed. Such areas have a
role for the development of the entire city and they are result of
some specific human impact. A number of environmental
indicators will be used to measure the sustainability of areas.
They will be related to political keys, such as law-restrictions.
Especially in Istanbul some change (road-construction) initiated
the increase of “Gecekondu” areas.
12000 - — — —
10000 - E
sd
8000 - aut
6000 - "^
4000 -
-9-— Europe
2000 4
B Asia
0 4 ; i
1945 1968 1988 2000
Figure 5: Length of the transportation network in km on the
Asiatic and European side of Istanbul.
The difference in the increase of the transportation network
shows the stronger development of the Asiatic side of Istanbul.
The main initiation can be detected the bride-construction in the
year 1972 and 1987. Also when the bridge is not ready, the
development already starts. Finally scenarios out of trend-
analyses can be undertaken and a virtual grow of the city can be
animated. Such scenario is going to visualise the problems of
the city of Istanbul, where increase is dramatically big. Data of
this project could be also a suitable base for emergency
planning. The output of the project can be used in a large
variety of applications, not only by the city of Istanbul, but also
by the ministry for regional development and the ministry of
environment. The project could also contain some valuable
information for the development of tourism and for the
potential investors. It also could be a part in the national
earthquake management program. In this frame together with
the ancillary data sets (i.e. geological maps) can built up a good
base for this theme.
337
