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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Bibliographic Details
Published in:Science China Technological Sciences 2011-12, Vol.54 (12), p.3220-3232
Main Authors: Lü, XueFeng, Cheng, ChengQi, Gong, JianYa, Guan, Li
Format: Article
Language:English
Subjects:
China
Data storage
Earth
Engineering
Management
NASA
Remote sensing
Satellites
世界地图
国家卫星气象中心
地球模拟器
存储体系结构
审查
数据存储中心
管理技术
遥感数据
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Summary: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.
ISSN:1674-7321
1869-1900
1862-281X
DOI:10.1007/s11431-011-4549-z