DocumentCode :
2155528
Title :
Multi-sensor distributive on-line processing, visualization and analysis system
Author :
Berrick, S. ; Leptoukh, G. ; Liu, Z. ; Pham, L. ; Rui, H. ; Shen, S. ; Teng, W. ; Zhu, T.
Author_Institution :
Goddard Earth Sci. Data & Inf. Services Center, Greenbelt, MD
Volume :
3
fYear :
2004
fDate :
20-24 Sept. 2004
Firstpage :
2030
Abstract :
The ability to use data stored in the current Earth Observing System (EOS) archives for studying regional or global phenomena is highly dependent on having a detailed understanding of the data\´s internal structure and physical implementation. Gaining this understanding and applying it to data reduction is a time-consuming task that must be undertaken before the core investigation can begin. This is an especially difficult challenge when science objectives require users to deal with large multi-sensor data sets that are usually of different formats, structures, and resolutions. The NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) has taken a major step towards meeting this challenge by developing an infrastructure that supports a Web interface that allows users to perform interactive analysis online without downloading any data. The underlying infrastructure that integrates all the components is called GES-DISC Interactive Online Visualization and Analysis Infrastructure or "Giovanni". Giovanni provides interactive, online, analysis tools for data users to facilitate their research
Keywords :
Internet; data analysis; data mining; data reduction; data structures; data visualisation; distributive data processing; geophysical signal processing; sensor fusion; user interfaces; EOS; Earth Observing System; GES-DISC Interactive Analysis Infrastructure; GES-DISC Interactive Online Visualization; Giovanni; NASA Goddard Earth Sciences Data and Information Services Center; Web interface; data internal structure; data reduction; data storage; global phenomena; multisensor data sets; multisensor distributive on-line processing; physical implementation; regional phenomena; time-consuming task; Data analysis; Data mining; Data visualization; Earth Observing System; Geoscience; Information analysis; Information retrieval; Investments; NASA; Performance analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-8742-2
Type :
conf
DOI :
10.1109/IGARSS.2004.1370748
Filename :
1370748
Link To Document :
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