Next Article in Journal
Compact Integration of a GSM-19 Magnetic Sensor with High-Precision Positioning using VRS GNSS Technology
Next Article in Special Issue
Sensing Human Activity: GPS Tracking
Previous Article in Journal
Interpretation of Absorption Bands in Airborne Hyperspectral Radiance Data
Previous Article in Special Issue
Wireless in-situ Sensor Network for Agriculture and Water Monitoring on a River Basin Scale in Southern Finland: Evaluation from a Data User’s Perspective
Sensors 2009, 9(4), 2926-2943; doi:10.3390/s90402926

Language-Based Access to Large Sensor Repositories

Jacobs University Bremen, Campus Ring 12, 28759 Bremen, Germany
Received: 25 February 2009 / Revised: 20 April 2009 / Accepted: 21 April 2009 / Published: 22 April 2009
(This article belongs to the Special Issue Workshop Sensing A Changing World)
View Full-Text   |   Download PDF [257 KB, uploaded 21 June 2014]   |  


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 (CC BY 3.0).

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote |
MDPI and ACS Style

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

View more citation formats

Related Articles

Article Metrics

For more information on the journal, click here


[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert