Welcome to the InfoSci Platform
Collaborative Geospatial Web Services for Multi-Dimension: Remote Sensing Data

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

Chunyang Hu, Yongwang Zhao, Dianfu Ma
Copyright: © 2011 |Pages: 20
ISBN13: 9781616920166|ISBN10: 1616920165|ISBN13 Softcover: 9781616923785|EISBN13: 9781616920173
DOI: 10.4018/978-1-61692-016-6.ch013
Cite Chapter Cite Chapter

MLA

Hu, Chunyang, et al. "Collaborative Geospatial Web Services for Multi-Dimension: Remote Sensing Data." E-Strategies for Resource Management Systems: Planning and Implementation, edited by Eshaa Alkhalifa, IGI Global, 2011, pp. 212-231. https://doi.org/10.4018/978-1-61692-016-6.ch013

APA

Hu, C., Zhao, Y., & Ma, D. (2011). Collaborative Geospatial Web Services for Multi-Dimension: Remote Sensing Data. In E. Alkhalifa (Ed.), E-Strategies for Resource Management Systems: Planning and Implementation (pp. 212-231). IGI Global. https://doi.org/10.4018/978-1-61692-016-6.ch013

Chicago

Hu, Chunyang, Yongwang Zhao, and Dianfu Ma. "Collaborative Geospatial Web Services for Multi-Dimension: Remote Sensing Data." In E-Strategies for Resource Management Systems: Planning and Implementation, edited by Eshaa Alkhalifa, 212-231. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-61692-016-6.ch013

Export Reference

Mendeley
Favorite

Abstract

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.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.