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The scope of this paper is to discuss and analyze different approaches and solutions in which the interoperability between the Spatial Data Infrastructure (SDI) and the Grid environment is feasible. Most of the SDIs are exposed using Geospatial Web services, standardized by the Open Geospatial Consortium (OGC). The Grid environment was built to overcome the distributed computing problems regarding...
Modern geoscience and remote sensing (RS) are increasingly data-intensive. Cyberinfrastructure (CI) plays an essential role in data-intensive geoscience and RS research and education. GeoBrain is one of NASA's significant investments in CI for facilitating data-intensive Earth science (ES) and RS research and education. The GeoBrain CI, which makes large data and computing resources interoperable...
Ecosystem services are diverse, and ecosystem modeling requires data from various sources and outputs from other models. To facilitate the data management sharing and accessing in the interdisciplinary ecosystem modeling, we brought forward a distributed architecture, and address the interoperability problems with OGC standards. The paper introduces the database and metadata schema we designed to...
One of the purposes of gathering geographic data is to provide better services for the citizens even in their daily life. As the geographical information resources are heterogeneous, it is important to solve the problem of data interoperation and integration. A GeoGlobe Service Platform (GSP) is designed to provide standard and non-standard spatial information service to all levels of government departments...
Aiming in the data interoperation such as access and sharing of heterogeneous spatial data in distributed system, grid technology was brought into spatial information service, and a complete architecture of spatial data interoperability in Grid environment was proposed. We analyzed and designed spatial data management, access and interoperability in the architecture, and offered possible ways for...
Disaster prevention and management is a complicated task that often involves a tremendous amount of heterogeneous data from various resources. With its spatial, dynamic, and distributed nature, service technology has become a good candidate for removing the communication barriers between various organizations and for facilitating the integration and sharing of distributed data. For it to succeed,...
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