Abstract
With the rapid development of Earth observation, remote sensing and geographical information system, people can obtain massive spatial data. The data people use is not yet limited to a local area, which gradually expands to the whole earth. Growth in the amount of data makes how to manage the global spatial data and how to supply user efficient data retrieval service becoming a key issue for academic community. This thesis proposes a spatial data index and retrieval method based on GeoSOT global discrete grid system. We use GeoSOT grid code in creating spatial data identification. Then the data can be managed in ordinary one-dimension database based on its GeoSOT identifications. This method can realize a unified management of global spatial data. In another aspect, it also proposes a solution for cross-database associative spatial data retrieval.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
