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Remote Sens. 2014, 6(11), 10546-10570; doi:10.3390/rs61110546

An Observation Capability Metadata Model for EO Sensor Discovery in Sensor Web Enablement Environments

1
National Engineering Research Center for Geographic Information System, China University of Geosciences (Wuhan), Wuhan 430074, China
2
Faculty of Information Engineering, China University of Geosciences (Wuhan), Wuhan 430074, China
3
State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
4
Institute of Remote Sensing and GIS, Peking University, Beijing 100871, China
*
Authors to whom correspondence should be addressed.
Received: 22 July 2014 / Revised: 8 October 2014 / Accepted: 22 October 2014 / Published: 31 October 2014
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Abstract

Accurate and fine-grained discovery by diverse Earth observation (EO) sensors ensures a comprehensive response to collaborative observation-required emergency tasks. This discovery remains a challenge in an EO sensor web environment. In this study, we propose an EO sensor observation capability metadata model that reuses and extends the existing sensor observation-related metadata standards to enable the accurate and fine-grained discovery of EO sensors. The proposed model is composed of five sub-modules, namely, ObservationBreadth, ObservationDepth, ObservationFrequency, ObservationQuality and ObservationData. The model is applied to different types of EO sensors and is formalized by the Open Geospatial Consortium Sensor Model Language 1.0. The GeosensorQuery prototype retrieves the qualified EO sensors based on the provided geo-event. An actual application to flood emergency observation in the Yangtze River Basin in China is conducted, and the results indicate that sensor inquiry can accurately achieve fine-grained discovery of qualified EO sensors and obtain enriched observation capability information. In summary, the proposed model enables an efficient encoding system that ensures minimum unification to represent the observation capabilities of EO sensors. The model functions as a foundation for the efficient discovery of EO sensors. In addition, the definition and development of this proposed EO sensor observation capability metadata model is a helpful step in extending the Sensor Model Language (SensorML) 2.0 Profile for the description of the observation capabilities of EO sensors. View Full-Text
Keywords: Earth observation sensor web; collaborative observation; metadata; discovery; observation capability Earth observation sensor web; collaborative observation; metadata; discovery; observation capability
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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. (CC BY 4.0).

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MDPI and ACS Style

Hu, C.; Guan, Q.; Chen, N.; Li, J.; Zhong, X.; Han, Y. An Observation Capability Metadata Model for EO Sensor Discovery in Sensor Web Enablement Environments. Remote Sens. 2014, 6, 10546-10570.

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