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Sensors 2009, 9(4), 2926-2943; doi:10.3390/s90402926
Article

Language-Based Access to Large Sensor Repositories

Received: 25 February 2009; in revised form: 20 April 2009 / Accepted: 21 April 2009 / Published: 22 April 2009
(This article belongs to the Special Issue Workshop Sensing A Changing World)
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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 Sensor data management; raster services; standards; OGC; WCPS; WCS
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Baumann, P. Language-Based Access to Large Sensor Repositories. Sensors 2009, 9, 2926-2943.

AMA Style

Baumann P. Language-Based Access to Large Sensor Repositories. Sensors. 2009; 9(4):2926-2943.

Chicago/Turabian Style

Baumann, Peter. 2009. "Language-Based Access to Large Sensor Repositories." Sensors 9, no. 4: 2926-2943.


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