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5 CONCLUDING REMARKS
The paper presents some concepts for the construction
of a high resolution landscape monitoring system
based on:
a tailored spatial model called ‘fields in objects’,
radiometrically corrected orthophotos, and
a supervised hierarchical classification system
applying crisp and fuzzy mathematics.
These concepts enable the representation of both
discrete and continuous terrain features in space and
time. Because many natural landscapes show a mosaic
of gradual and discontinuous spatial and temporal
changes, digital landscape models constructed
according to the proposed methods are a more
adequate representation of reality compared to
conventional methods based on the concept of land
units and patches.
The proposed methods are successfully applied for the
modelling of the vegetation structure of the catchment
area of the Amsterdam Water Supply, i.e. the
Amsterdam Waterworks Dunes (Droesen et al., 1995).
This dune area counts as one of the most complex
natural landscapes in the Netherlands considering its
geomorphology and vegetation. Two false colour
photographs on a scale 1:5000 and a 10 year interval
were transformed into digital orthophotos with a
resolution of 0.5 metre. In a step wise supervised
classification the crisp and fuzzy classes are interpreted
conform the example land cover hierarchy in figure 3.
Due to the hierarchical set up of the interpretation
process, all land cover classes could be accurately
classified. The classification accuracy for all classes
varied between 90 and 95 percent. During the
presentation the results of the case will be shown and
discussed.
The monitoring system yields a wealth of high
resolution land cover information providing the
Amsterdam Water Supply a sound starting point for a
wide range of activities like landscape ecological
research, fauna habitat analysis and policy making with
respect to hydrological management, nature
Management and recreation.
ACKNOWLEDGEMENTS
The Amsterdam Water Supply is gratefully
acknowledged for funding the presented study and for
providing the data for the case in the Amsterdam
Waterworks Dunes.
219
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