Abstract
It's a key problem how to efficiently organize and manage the growing massive multi-source heterogeneous spatial science data. The paper researched a number of key technologies of data organization and management systems including data storage, data retrieval, and data visualization. Firstly, it proposed and designed effective system architecture, secondly, it enabled efficient storage, search and location of massive heterogeneous data by spatial relational database and distributed database technology, lastly, it improved the visualization efficiency of space science data by three-dimensional data earth, the levels of detail (LOD), the three dimensional data cutting, and multi-threaded parallel loading techniques. Based on the current spatial data management technology and structural features of space science data, we completed the integration of the massive multi-source heterogeneous data visualized organization and management system. The system in the application confirms the validity of these technologies for data storage, data retrieval and data visualization.
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