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Language-Based Access to Large Sensor Repositories
Jacobs University Bremen, Campus Ring 12, 28759 Bremen, Germany
Received: 25 February 2009; in revised form: 20 April 2009 / Accepted: 21 April 2009 / Published: 22 April 2009
Abstract: Sensor data have broadened their scope recently, ranging now from the simple time series measurements to, e.g., hyperspectral satellite image maps timeseries. In addition to observed data, simulation data increasingly have to be merged, for example 4-D ocean and atmospheric data. The majority of these data fall into the category of multi-dimensional rasters. However, when it comes to flexible retrieval, including sensor data search, aggregation, analysis, fusion, etc., standard query language support in the past has not kept up with the service level of, e.g., metadata retrieval. To close this gap, the Open GeoSpatial Consortium (OGC) has issued the Web Coverage Processing Service (WCPS) Standard in December 2008. WCPS defines a request language for multi-dimensional raster data, suitable for specifying navigation, download, and analysis of sensor, image, and statistics data. This contribution emphasises sensor data modeling and the perspectives for an integrated, cross-dimensional sensor data retrieval. Further, the WCPS reference implementation is briefly discussed.
Keywords: Sensor data management; raster services; standards; OGC; WCPS; WCS
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Cite This Article
MDPI and ACS Style
Baumann, P. Language-Based Access to Large Sensor Repositories. Sensors 2009, 9, 2926-2943.
Baumann P. Language-Based Access to Large Sensor Repositories. Sensors. 2009; 9(4):2926-2943.
Baumann, Peter. 2009. "Language-Based Access to Large Sensor Repositories." Sensors 9, no. 4: 2926-2943.