DocumentCode :
3072894
Title :
An index and retrieval method of spatial data based on GeoSOT global discrete grid system
Author :
Nan Lu ; Chengqi Cheng ; An Jin ; Haijian Ma
Author_Institution :
Inst. of Remote Sensing & Geographic Inf. Syst., PKU, Beijing, China
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
4519
Lastpage :
4522
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.
Keywords :
geographic information systems; remote sensing; Earth observation; GeoSOT global discrete grid system; GeoSOT grid code; GeoSOT identifications; academic community; cross-database associative spatial data retrieval; geographical information system; ordinary one-dimension database; remote sensing; spatial data identification; spatial data index; spatial data retrieval method; Earth; Remote sensing; Spatial databases; Spatial indexes; Transforms; Global discrete grids system; spatial index; spatial retrieval;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6723840
Filename :
6723840
Link To Document :
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