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The strength of cloud computing is that it dramatically reduces the investment costs for users, required for processing high-volume geospatial data. But in order to have confidential or even classified geospatial data processed in the cloud, service level agreements must ensure the seamless protection of the data. This paper introduces standards for the implementation of security requirements applicable...
The widely used geospatial web services technology has provided a new means for geospatial data interoperability. Web Map Service (WMS) is a standardized geospatial web service from the Open Geospatial Consortium (OGC). WMSs can be used for requesting and producing maps on the Internet, and have been widely adopted in the Geographic Information System (GIS) community. These WMSs make remote sensing...
Geographic information is inherent to many application domains in various disciplines and constitutes an integral part of Earth sciences, including geology, geophysics, meteorology, hydrology, oceanography, and soil science. Communication of sophisticated geographical data requires the use of complex technologies that enable interoperable geospatial information exchange channels. The primary authorities...
The Geospatial data has been used extensively in many scientific areas but a lot of issues arise for sharing and processing such large amount of data. The geospatial data is exposed most of the time using geospatial Web services, standardized by the Open Geospatial Consortium (OGC). In this paper we discuss solutions and approaches, based on the integration of OGC Web services into the Grid environment,...
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...
The paper discusses the technical issues of developing the web-based distributed spatial information management framework for geological disaster control. The framework includes four main components: 1) The web-based geospatial portal, which provides users web-embedded GIS user interface with union portal passport and uniform identity authentication. Integrated with role-based and geospatial metadata-driven...
Geospatial Data provided by different organizations may have various geospatial Coordinate Reference Systems (CRS), which usually need to be converted into the same CRS for integrated analysis and display. Geospatial coordinate transformation functions are now commonly available in most GIS software. However, the transformation function in these software systems can only work in its proprietary environment...
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...
SOMGIS is a service oriented model which uses SOA (Service Oriented Architecture) concepts as the basic architectural concept and employs OGC (Open Geospatial Consortium) standards to support GIS concerns in the organization. This model is based on relevant studies that encourage organizations to use SOA concepts and OGC standards for developing GIS (Geographic Information System) software applications...
Based on the service specification of the Open Geospatial Consortium (OGC), the OGC Web Processing Service (WPS) 1.0.0 standard provides distributed spatial data processing analyses for arbitrary geoprocessing functionalities using a standardized web service-based interface. Additionally, the standard offers the ability to define and use so-called WPS Profiles in a recyclable way for semantically-driven...
One of the most important criteria to have a comprehensive management is access to update and reliable data. Nowadays city management, as one of the aspects of management, is becoming more important and critical and in order to have a successful city management, reliable and update urban services data accessibility is one of the main issues. To be able to grant more efficient services to citizens...
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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