Spatio-temporal aggregation of European air quality observations in the Sensor Web

Authors:
Christoph Stasch;Theodor Foerster;Christian Autermann;Edzer Pebesma
Affiliations:
Institute for Geoinformatics, University of Muenster, Weseler Strasse 253, 48153 Muenster, Germany;Institute for Geoinformatics, University of Muenster, Weseler Strasse 253, 48153 Muenster, Germany;Institute for Geoinformatics, University of Muenster, Weseler Strasse 253, 48153 Muenster, Germany;Institute for Geoinformatics, University of Muenster, Weseler Strasse 253, 48153 Muenster, Germany and 52 North Initiative for Geospatial Open Source Software GmbH, Martin-Luther-King-Weg 24, 4815 ...
Venue:
Computers & Geosciences
Year:
2012

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Abstract

An increasing amount of observations from different applications such as long-term environmental monitoring or disaster management is published in the Web using Sensor Web technologies. The standardization of these technologies eases the integration of heterogeneous observations into several applications. However, as observations differ in spatio-temporal coverage and resolution, aggregation of observations in space and time is needed. We present an approach for spatio-temporal aggregation in the Sensor Web using the Geoprocessing Web. In particular, we define a tailored observation model for different aggregation levels, a process model for aggregation processes and a Spatio-Temporal Aggregation Service. The presented approach is demonstrated by a case study of delivering aggregated air quality observations on-demand in the Sensor Web.