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Sensor Web Technology: Interoperable Delivery of Copernicus In-Situ Observation Data

Simon Jirka

(Submission #311)


In the past, much attention was already paid to the sharing of remote sensing data within the framework of Copernicus. However, besides remote sensing data (e.g. satellite images), in-situ observations are a complementary resource for assessing the state of the environment with a potentially high temporal resolution.

The high relevance of in-situ observation data is also reflected in the European INSPIRE framework. At the end of 2016 two new Technical Guidance recommendations where published that describe how OGC Sensor Web Enablement (SWE) standards can be used to handle in-situ observation data: The INSPIRE Technical Guidance for the use of Observations & Measurements and Sensor Web Enablement-related standards in INSPIRE offers general recommendations on the OGC SWE standards and describes different observation types that help to handle different kinds of observation data. Complementary to this the INSPIRE Technical Guidance for implementing download services using the OGC Sensor Observation Service and ISO 19143 Filter Encoding describes an approach to use the OGC SOS as INSPIRE compliant download service for in-situ observation data.

Besides an introduction into the different OGC SWE standards that may help to extend the Copernicus framework to better handle in-situ observation data, we will also show how practical applications in different domains such as air quality monitoring, hydrology and marine science benefit from this technology. On the one hand we will illustrate the motivation that has influenced the decision to use Sensor Web standards. On the other hand we will also show typical implementation patterns how Sensor Web components were integrated into existing data management systems and infrastructures.

The presentation will be completed with an overview of different tools that offer users functionality to consume data from Sensor Web services and to analyse or visualize the downloaded data sets.


Topic Area:  [2.8] Innovation and technologies for spatial data collection, processing and integration in spatial data infrastructures (for example; Galileo/EGNOSS, Copernicus data and services, sensor web, Internet of Things, Big Data analytics)
Abstract Type:  Oral Presentation

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