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Sensor Web Enabled Air Quality Data An INSPIRE Prototype for CAFE Reporting

Authors:

Schleidt, K.; Ansorge, C.; Havlik, D.

Source:

INSPIRE Conference 2010, Krakow, Poland (2010)

URL:

http://inspire.jrc.ec.europa.eu/events/conferences/inspire_2010/abstracts/59.doc

Keywords:

SANY, INSPIRE, Clean Air for Europe, INSPIRE, OGC SWE, SOS. Formula 3

Abstract:

As a preparatory step for the definition of data specifications for the INSPIRE Annex themes, JRC has contracted various prototyping projects in regard to environmental reporting in order to define best practices. Among these, four parallel projects are currently testing possible technical solutions for open standards-based INSPIRE compliant prototype for air quality reporting in accordance with the CAFE directive (Clean Air For Europe) in Austria, Poland, Slovakia and the United Kingdom.

To date, INSPIRE has been driven by the Spatial Data Infrastructure community, relying on OGC Web Feature Service (WFS) services for data provision. Based on an analysis of the requirements of the CAFE directive, the Austrian development team came to the conclusion that these requirements would be far better served by a Sensor Web Enabled (SWE) approach than the more traditional WFS services defined to date for INSPIRE. As we had been working on prototyping access to Austrian Air Quality data within the SANY IP, we decided to implement the INSPIRE CAFE prototype utilizing results of the SANY project.

Based on our experiences in the development of a Sensor Web Enabled prototype for CAFE Reporting under the INSPIRE Directive, we have come to the conclusion that SWE is uniquely suited for this task. All reporting concepts could be clearly mapped to parts of the existing SWE data models. In addition, the tools developed within SANY provide valuable extensions to the base SWE architecture, with the combination of Cascading SOS and Formula 3 providing a powerful transformation node for time series data while the metadata extraction tools and semantic catalogue allowing for automatic extraction of up to date metadata and user friendly ontology supported discovery. We strongly recommend the further exploration of SWE technology for the more data rich INSPIRE themes.

Notes:

CAFE with SANY presentation: http://inspire.jrc.ec.europa.eu/events/conferences/inspire_2010/presentations/59_pdf_presentation.pdf