Image Processing Reference
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Fig. 1.2 Scale-dependent urban analysis (Banzhaf and Höfer 2008; modified after Wickop et al.
1998 )
vegetation dynamics) and planning (storm water runoff, flooding hazards,
landslides). Kühn ( 2003 ) explains the development of urban landscapes being
shaped by the penetration of settlement and open-space structures. Remotely
sensed data will be used to detect and evaluate the physical structure and composition
of urban areas, such as the structure of residential, commercial or mixed neighbor-
hoods, green spaces or other open spaces.
The growth of 'Spatial Data Infrastructures', Geo-portals
and private sector initiatives (e.g. Google Earth, Microsoft
Virtual Earth, etc.) produced an increase of geographical
data availability at any scale and worldwide. This growth
has not been fully coupled by an increase of knowledge to
support spatial decisions. Spatial analytical techniques and
geographical analysis and modeling methods are therefore
required in order to analyse data and to facilitate the deci-
sion process at all levels. As cities can be described as a
concentration of people it is most striking to find coherence
between urban land use and socio-demographic as well as
socio-economic parameters. The statistical analysis of
census data infers information on the human usage of the
land, the human exposure to potential hazards in the
increase of
geographical data
availability has
not been fully
accompanied by
an increase of
knowledge to
support spatial
decisions, thus
spatial analytical
techniques are
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