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Earth Observation (EO) is an effective way to monitor hazards for rapid response. The sensors such as optical, passive microwave, Synthetic Aperture Radar (SAR) can be used. For rapid response purpose based on EO data, fast data acquisition from data provides and processing in near real-time are two key issues. In this paper, the automatic data integration method based on metadata harvest interface...
At present, in the field of earth science applications there is a difficult problem that how data sharing system to build data services and applications chains automatically, especially in geological data application. It involves the choice of data provider services, data selection, service composition and its interface matching issues. The traditional workflow depends on the strict syntax matching...
How to manage and utilize huge amounts of spatial data more efficiently is very important for data sharing and applications. This paper presents the research work of a general model of data service in China Spatial Information Grid. This project is to provide a foundational infrastructure for sharing large quantity of earth observation data and earth science applications in grid environment. It is...
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