Review of data storage and management technologies for massive remote sensing data
Aiming at the storage and management problems of massive remote sensing data, this paper gives a comprehensive analysis of the characteristics and advantages of thirteen data storage centers or systems at home and abroad. They mainly include the NASA EOS, World Wind, Google Earth, Google Maps, Bing...
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Veröffentlicht in: | Science China Technological Sciences 2011-12, Vol.54 (12), p.3220-3232 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Aiming at the storage and management problems of massive remote sensing data, this paper gives a comprehensive analysis of the characteristics and advantages of thirteen data storage centers or systems at home and abroad. They mainly include the NASA EOS, World Wind, Google Earth, Google Maps, Bing Maps, Microsoft TerraServer, ESA, Earth Simulator, GeoEye, Map World, China Centre for Resources Satellite Data and Application, National Satellite Meteorological Centre, and National Satellite Ocean Application Service. By summing up the practical data storage and management technologies in terms of re-mote sensing data storage organization and storage architecture, it will be helpful to seek more suitable techniques and methods for massive remote sensing data storage and management. |
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ISSN: | 1674-7321 1869-1900 1862-281X |
DOI: | 10.1007/s11431-011-4549-z |