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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Huilin Wang Liping Di Genong Yu Bei Zhang |
| Copyright Year | 2009 |
| Description | Author affiliation: Center for Spatial Information Science and Systems, George Mason University, 6301 Ivy Lane, Suite 620, Greenbelt, MD 20770, USA (Huilin Wang; Liping Di; Genong Yu; Bei Zhang) |
| Abstract | This research takes advantages of Sensor Observation Service (SOS), according to a grid-based satellite sensor: Geostationary Operational Environmental Satellites (GOES) to construct a framework to serve GOES data with standard interfaces. The implemented SOS operations here are Get Capabilities to serve the service metadata about the specific service instance, Describe Sensor to serve detailed sensor metadata and Get Observation to retrieve observation data structured according to the Observation and Measurement specification. Two major problems occurred in the implementation will be discussed in this Paper: One is how to retrieve real-time GOES data automatically since the sensors keep collecting data and the other is how to modeling sensor observations. A data order system is designed to achieve the goal of retrieving GOES data. The Observation and Measurements (O&M) specification which can handle lots of data types in an efficient and robust way is adopted to solve the second problem. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 1163210 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424445622 |
| DOI | 10.1109/GEOINFORMATICS.2009.5293487 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-12 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Weather forecasting Geoscience Information retrieval Sensor systems Data systems Sensor Observation Service Sensor arrays Image sensors Information science O&M GOES Satellite ground stations Meteorology |
| Content Type | Text |
| Resource Type | Article |
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