Free and Open Source Software for Geomatics Conference FOSS4G 2010 Barcelona

T-12: Sensor Web Enablement - Integrating Sensor Data into Spatial Data Infrastructures 

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Within this tutorial the participants will learn how the Sensor Web Enablement (SWE) Architecture of the Open Geospatial Consortium (OGC) can be applied in practice. The SWE framework consists of a set of standards for sensor data and metadata formats as well as web service interfaces offering sensor related functionality (e.g. accessing sensor data, alerting, sensor tasking).

The tutorial will be split into two parts: an introduction into the SWE framework and a set of hands-on exercises.

The first part will give an overview of the general SWE architecture as well as the different SWE specifications. Furthermore, typical interactions between different SWE components will be explained. At the end of this introduction, various projects applying SWE in practice will be presented. This knowledge forms the foundation for the practical exercises following in the second part of the tutorial.

Within the practical part we will focus on the OGC Sensor Observation Service (SOS). The participants will be able to interact with a deployed SOS and insert test data as well as retrieve it. Furthermore, they will be able to experiment with the concrete XML encoded requests using a test client. This will illustrate the theoretical aspects presented in the first part of the tutorial.

After this, the participants will also use comfortable web based clients for interacting with the SOS instance. They will learn how the underlying SWE interfaces can be hidden by user-friendly graphical user interfaces. By experiencing open source applications like the 52° North Thin SWE Client the participants learn how to reuse them in their own projects.
In summary, this tutorial will offer a solid introduction into the basics of the OGC SWE architecture which will be deepened by practical hands-on experiences.


S. Jirka (1), A. Bröring (2), E. H. Jürrens (1).
(1) 52° North GmbH, (2) University of Münster - Institute für Geoinformatics.

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