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This research is aimed to reduce the complexity of heterogeneous spatial data in system that services user on demand. Heterogeneous include heterogeneous standards, heterogeneous systems, heterogeneous mode and the heterogeneous contents of data. For this purpose, we describe the data conformably with Grid based on Web Service. This research implemented the method, and provided a set of middleware...
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...
Recently, it is hot spot that accelerating construction of National Spatial Information Infrastructure and boosting sharing and application of Geospatial Information industry. While traditional WebGIS always binds spatial data and map display together, it is hard to display multiple-source spatial data dynamically, not to mention the dynamical overlay analysis of different kinds of data. Aiming at...
The core elements of Web GIS are spatial information processing and spatial data. It means that the flexibility of the Web GIS system depends on the cross-platform processing and the capability to analyze the heterogeneous data. Even though Web services are employed to add Web GIS the capabilities of cross-platform processing, the heterogeneous data still can not be well analyzed. The spatial analysis...
Buffer analysis is one of the most important GIS functions to take spatial analysis. Based on our experience on EO data parallel processing, we take buffer generation as an example to research how to accelerate the speed and scale of GIS operations. This paper analyzes the procedure of the original sequential algorithm, and then gives out the mechanism of the parallelization. As a result, it will...
The sharing and interoperability of geospatial data are important issues for spatial information grid (SIG). Based on an existing SIG platform, we tentatively propose a three-level overview SIG layout. Within this new architecture, some grid service entities (GSEs) complying with Open GIS Consortium (OGC) interoperability specifications, such as Web Map Service (WMS), Web Feature Service and Web Coverage...
The classical GIS has many difficulties in manipulating massive data, sharing results and interoperability among heterogeneous GIS, which encourages scientists to concentrate on these issues and explore new approaches. In theory, the integration of Grid and GIS has the potential to solve these problems, which makes senses that we research the following ways of GIS interoperability based on grid platform...
MODIS (Moderate Resolution Imaging Spectroradiometer) is an advance earth observation system, which is the world's best remote sensing data of free receiving. However, there is a serious problem about duplicated establishment of MODIS data receive station in China, and it has brought a tremendous waste of money. Utilizing data grid technology could take advantages to integrate and share heterogeneous...
Spatial information grid, which is a kind of application grid for geo-computation, purchases an order for a powerful and easy-to-use running environment. In this paper, a powerful runtime environment for geo-computation is proposed based on web service. Based on it, SIG resources can be distributed, discovered, and matched, and a distributed, flexible and powerful data infrastructure is founded. Based...
The research purchases more orders to the geo-computation data infrastructure. It should be distributed, platform-independent, extensible, robust, and can one-stop serve the applications. In this paper, based on grid technology, an SOA based 4-layered data infrastructure which is built up by data nodes, data sources, data agencies, client libraries, and other components is proposed. It adopts an XML...
The continuing research on geo-computation purchases more orders to the data infrastructure of geo-computation. It should be distributed, platform-independent, extensible, robust, autonomic, and can on-stop serve the users and applications. In this paper, based on spatial information grid (shortly SIG), a 4-layered data infrastructure which is built up by data nodes, data sources, data agencies, support...
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...
Data distribution is one of the most important steps in the remote sensing applications; it is the bridge between consumers and providers of remote sensing data. Most of the conventional data distribution systems provide Web-based user interface and support a small quantity of data types only. It is not friendly for integrated remote sensing applications. So, a distributed and platform-independent...
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