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Implementation of strategies using open source software in a process chain for automatic delineation of INSPIRE elevation datasets along watercourses

Christian Schwartze

(Submission #146)


Software frameworks and tools for mass data processing are continuously growing in importance. This is particularly true, if they come with support for typical Extract-Transform-Load (ETL) approaches in connection with geospatial information and data. The contribution shows the application of various open source software in the field of stream-based data-flows, GIS and geodata processing models. Taking as example many simple text-formatted files, containing high resolution elevation data gathered from surveying flights and hydrographic surveys, the chain of data preparation will be explained. The data have been derived from an information system called „3D-Datenarchiv“ of the WSV (Wasserstraßen- und Schifffahrtsverwaltung des Bundes), that aims at archival storage and provision of terrain and riverbed data along federal waterways. With the introduced automated and configurable workflow, the data is not only converted into more popular GIS formats, but also further processed to well-established cartographic products like colored relief maps or contour lines. In this way, new datasets are generated, that mostly comply with the specifications of the INSPIRE elevation theme and provide an optimized basis for view services.


Topic Area:  [2.7] Innovation and technical developments in geospatial technologies – in particular, Geographical Information Systems, and how those relate and/or impact INSPIRE
Abstract Type:  Oral Presentation

Additional Fields

Comments:   elevation data, mass data processing, GIS

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