International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B4, 2012
XXII ISPRS Congress, 25 August — 01
represents the lack of administrative activities. Such impact
from the administrative side can be seen in the curve of Chinas
cities. To extract the population growth, the annual population
growth rate was extracted from the data shown in figure 18.
3
8
Figure 19: The population growth rate of the biggest and
strongest growing agglomerations. (Data from UN 2004 in: UN
- World Urbanization Prospects)
The main intention is to compare the trends. Analyses of the
absolute values are difficult due to different methods used and
their related data. Even in summarised analyses of the world's
Mega cities development, bigger agglomerations are placed
beside single cities. This makes absolute evaluation of those
sources impossible.
Figure 19 shows the relation of Istanbul to other rapid growing
cities using the annual growth-rate. If, what is done often by
demographic studies, the growth-rate is related to the degree of
development, Istanbul is similar to South American
agglomerations and the cities of Teheran, Calcutta, Cairo and
Manila. This might be a mirror image of the city as a socio-
economic object. Istanbul is able to compete by economic
means with South American cities. Of course, it is difficult to
balance this precisely; many other facts influence growth too.
Istanbul is definitely a threshold-city by demographic means
with a good step forward to become a developed one. As
already seen in the chapters before, there are many strong
economic developments in Istanbul, but there is still a lack of
administrative management to do the final step.
9, RISK-MAPPING
As one example, how ancillary data in combination with GIS
might assist in crisis preparedness, the following risk map was
extracted from the existing data source. To balance the final risk,
data of the geoscientific survey and research, hydrological
models and land-use data must be combined with the 3D data to
achieve a spatial risk-estimation. The combination with
demographic data or at least the modelled distribution of such
information with urban structural analysis gives a good
approximation of a Tsunami Risk-Level as shown below.
The map above was generated using data of the Moland project
in combination with demographic data and terrain models
classified for Tsunami run-up simulations. Even these
estimations are relatively simple and not very precise, it makes
the risk level clearly visible. Like that, the areca of
Büyükcekmece covers residential areas on low-levelled terrain
that finally can affect 30,000 people by a Tsunami since they
live in the red coloured zone as shown in Figure 6. Such risk
maps easily can indicate city planners where risk-factors must be
taken into account or at least to define clear rules for
constructing objects in these risky regions.
September 2012, Melbourne, Australia
Maps as shown above also support the Crisis Management Team
to detect sensitive parts of the city and assist them in defining
ways to access these areas for helping the people.
Figure 20: areas of a certain run-up risk for Tsunamis overlaid
with land-use data and population density of residential areas.
Many scientists in our discipline use GIS in combination with
remotely sensed data and/or aerial photos to extract the land-use
and analyze them, commonly in combination with spatial or
non-spatial ancillary data. Terrain-models are used for the
orthorectification process but as shown above, they can do
more. There are various possibilities to contribute to risk
mapping out of such data-sources. Risk-maps also help the
decision makers to understand the needs for a sustainable
planning and support an integrated Crisis management. Crisis
Management and the needed reorganisation of a city can find
acceptance in the population more easily by presenting these
risk-maps than any other arguments can do. Like that, these
maps have a big importance to transport political decisions
which are needed for a successful crisis management and so
finally for a better help for the people.
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9.1 Refe
ALTAN, O
MOLANI
Istanbul. I
Hyderabat
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Investigat
ISPRS, Ist
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KASANKO,
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Civil Engi
KEMPER G.
Die Landn
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KEMPER G.
and Geo-In
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Arabia, Ris
KEMPER, G
Geführdun;
Informatior
Heidelberg
LAVALLE, C
BARREDO, J
of Europeai
urban devel
2003.
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Mediterrane
Spaceborne
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Kiremidjian
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Conference
(SDEE 95),