KEYWORDS: Data modeling, Image segmentation, Satellites, Image analysis, Process modeling, Image processing, Spatial resolution, Sensors, Knowledge management, Geographic information systems
A rapidly increasing demand for accurate and updated geo-spatial information requires advanced techniques for
extracting and providing relevant information. The presented work was carried out in a 3654 km2 sized area in the region
of Stuttgart/Germany, characterized by high dynamic growth and steady economic development. The project Biotope
Information and Management System (BIMS) provides and monitors aggregated spatial units relevant for regional
planning tasks. We discuss experiences from the first phase of the project, in which we developed an adaptive per-parcel
approach for delineating elementary units using SPOT-5 MS data (5 m GSD). The target geometry was pre-defined by
digital cadastre data from 2005, but not all existing boundaries were retained: some were dismissed, others introduced.
We followed a threefold strategy: (1) a parcel with internal homogeneity remains the same; (2) neighboring parcels with
similar spectral behavior are merged; (3) a single, heterogeneous parcel is split and new boundaries are generated. By
this, the initial number of units dropped to one fourth. The majority of the units were merged due to trans-boundary
homogeneity, one fourth was subdivided. Assets of this approach are its cost-efficiency, the high matching degree of the
produced geometry and the transferability to similar cases because of the standardized character of the data sets involved.
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