Title
Multi-sensor distributive on-line processing, visualization and analysis system
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
Year
DOI
Venue
2004
10.1109/IGARSS.2004.1370748
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Keywords
Field
DocType
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 science,Information system,Data processing,Computer science,Remote sensing,Artificial intelligence,Spatial data infrastructure,The Internet,Data structure,Computer vision,Data visualization,Visualization,User interface
Conference
Volume
ISSN
ISBN
3
2153-6996
0-7803-8742-2
Citations 
PageRank 
References 
5
1.86
0
Authors
4
Name
Order
Citations
PageRank
Berrick, S.151.86
Gregory G. Leptoukh2305.82
Zhi Liu319537.27
Pham, L.451.86