Implementation of Sensor Observation Service for Satellite Imagery Sensors. Wang, H., Di, L., Yu, G., & Zhang, B. In 2009 17th International Conference on Geoinformatics, pages 1–5, August, 2009. doi abstract bibtex 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.
@inproceedings{wang_implementation_2009,
title = {Implementation of {Sensor} {Observation} {Service} for {Satellite} {Imagery} {Sensors}},
doi = {10.1109/GEOINFORMATICS.2009.5293487},
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.},
booktitle = {2009 17th {International} {Conference} on {Geoinformatics}},
author = {Wang, H. and Di, L. and Yu, Genong and Zhang, Bei},
month = aug,
year = {2009},
keywords = {data handling, data order system, Data systems, data types, DescribeSensor, geophysics computing, Geoscience, Geostationary Operational Environmental Satellites, GetCapabilities, GetObservation, GOES, grid-based satellite sensor, Image sensors, Information retrieval, Information science, meta data, Meteorology, O\&M, O\&M specification, Observation and Measurements specification, observation data retrieval, remote sensing, Satellite ground stations, Sensor arrays, sensor metadata, Sensor Observation Service, sensor observations modeling, Sensor systems, service metadata, SOS, Weather forecasting},
pages = {1--5},
file = {IEEE Xplore Abstract Record:/Volumes/mini-disk1/Google Drive/_lib/zotero/storage/TINGSPBP/5293487.html:text/html;IEEE Xplore Full Text PDF:/Volumes/mini-disk1/Google Drive/_lib/zotero/storage/VALEW6RT/Wang et al. - 2009 - Implementation of Sensor Observation Service for S.pdf:application/pdf}
}
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