| With the rapid development of computer network technologies and distributed computing technologies, geographic information systems are being migrated to popular, distributed, and web-based geospatial information services. The characteristics of diversity, dynamic, heterogeneity, massive data volume and distribution of geospatial information under Internet environment are challenging the traditional geospatial information services. Currently most researches on geospatial information services are based on Web Services, according to the specifications of geospatial information services established by OGC such as WMS, WFS, WCS. These technologies have made great progresses in the sharing and interoperability of geospatial information. But there are many unconquerable problems such as the process of the distributed massive spatial data, providing integrated and transparent services, capability of geocomputing, collaboration of spatial manipulations and migration of geospatial information services for users.The appearance and development of grid computing provide a reliable environment for the sharing and effective utilization of geospatial information resources. Grid is a software infrastructure for resource share and cooperation running on network, and provides the environment for the integration of resources and services. The appearance of Grid brings hopes to resolve the existing difficult problems in the domain of geospatial information services. High-powered parallel computing is an effective way to promote the efficiency of geospatial information services, while grid middleware is a strong tool to provide high-powered parallel computing. By sharing resources, collaboration and parallel computing based on grid technology, capabilities of computing can be collected, effective cluster and load balance can be provided, and collaboration of geospatial operations for team users can be supported. It can resolve the problems of geospatial information services such as...
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