Collaborative geospatial web services for multi-dimension remote sensing data

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 paper we proposed a hierarchical directory structure based on tiling and pyramid technologies for the organization and management of multi-source and multi-scale remote sensing data. We implemented a collaborative Geospatial data visualization system based on our proposed storage structure using Web Services, WSRF and Web2.0 technologies. Finally, we evaluated the prototype system with real data sets, which demonstrated the high performance data access in our system.