Collaborative Geospatial Web Services for Multi-Dimension: Remote Sensing Data

Collaborative Geospatial Web Services for Multi-Dimension: Remote Sensing Data

Chunyang Hu (Beihang University, China), Yongwang Zhao (Beihang University, China) and Dianfu Ma (Beihang University, China)
DOI: 10.4018/978-1-61692-016-6.ch013
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Satellite remote sensing imagery data is an important Geospatial data which is playing an increasingly important role in many applications such as crisis management, military activities and government decision-making. However, it will continue to be a great challenge to organize and manage these multi-dimension massive remote sensing data for collaborative visualization services in Internet environment. In this chapter the authors proposed a global hierarchical data model of massive multi-dimension remote sensing data based on tiling and pyramid technologies for the organization and management of multi-source and multi-scale remote sensing data. The authors implemented a collaborative Geospatial data visualization system based on their proposed storage structure of data model using Web Services, WSRF and Web2.0 technologies. Finally, the authors evaluated the prototype system with real data sets, which demonstrated the high performance data visualization in their system.
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The Open geospatial Consortium and the Technical Committee 211 of the international organization of Standards were established to address the interoperability issue by providing a series of standardized interface specifications. The fundamental ones include Web Map Services (WMS), Web Coverage Services (WCS), Web Feature Services (WFS), and Web Registries Services (WRS). They form the foundation for OGC web-based interoperable data access.

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