Image Processing Reference
In-Depth Information
This is why is it so important to fuse socioeconomic data which is much more
scale dependent in terms of the way it is structured and delivered to us than
is remotely sensed data. Ways of enabling such fusion depends on new tech-
niques for ingeniously aggregating and disaggregating data, for overlaying
data in diverse ways and for calculating multiple indices of scale and correla-
tion which thence need to be interpreted in robust frameworks. In fact one of
the most difficult problems with new imagery at finer resolutions from the
new generation of airborne scanners and satellites is that the error structures
in such data are largely unknown and thus new statistical theories are required
before effective post processing of such data sources becomes resilient
(Smith 2004 ). This quest is only just beginning and in terms of urban mor-
phology, socioeconomic patterning is still more distinct than physical pattern-
ing from remote sensing imagery.
2.3.1
Qualitative Analysis of Urban Sprawl in Europe
As discussed in our introduction, generalized quantitative measures of urban form,
obtained through urban remote sensing, can provide only a partial contribution to
our understanding of the efficiency and effectiveness of different urban forms.
The SCATTER project has thus encompassed qualitative as well as quantitative
analysis. The purpose of the former was to detect and understand the local events
and planning processes that led to the emergence of urban sprawl. The relevance of
these events and processes in the decision agenda of local authorities and experts
was assessed, as was the overall level of awareness of this particular urban phenom-
enon. This information is necessary if we want to complement quantitative mea-
sures with an embedded understanding of sprawl that is relevant to planners and
decision makers.
The objectives were therefore achieved by analyzing interviews conducted with
local authorities' representatives and experts in our six
case cities. The results of the qualitative investigations
have revealed that policy makers and local experts
provide descriptions of urban sprawl, which are quite
different from those available through a literature review.
For this reason we have found them valuable in our
research and have grouped them to build new typologies
of sprawl. Although not centrally relevant to a topic
concerned principally with remote sensing, it is appro-
priate to discuss them briefly here, in the interests of
balance and completeness of coverage (for a full descrip-
tion of the methodology and of the typology, see Besussi
and Chin 2003 ). Policy makers and implementers essentially see sprawl as:
quantitative mea-
sures of urban
phenomena from
remote sensing
and different cen-
suses need to be
complemented
with input from
planners and deci-
sion makers
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