DocumentCode :
2233750
Title :
Data Rods: High speed, time-series analysis of massive cryospheric data sets using pure object databases
Author :
Gallaher, D. ; Grant, G.
Author_Institution :
Nat. Snow & Ice Data Center, Univ. of Colorado, Boulder, CO, USA
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
5297
Lastpage :
5300
Abstract :
A data rod is a conceptual data object, defined as the time-series of data at a specific set of gridded coordinates. Ideally, a single data rod encapsulates all the information known at that location through time. The Data Rods project sought to store collections of data rods in stand-alone or distributed databases, providing users with direct access to large collections of remotely-sensed data (as opposed to only allowing direct access to the metadata). Temporal data analyses could then be performed by querying for the set of data rods that cover the spatial area of interest. This query process would implicitly retrieve only the data necessary for the desired analysis, avoiding the overhead of downloading and filtering extraneous data. Combined with server-side processing and user-friendly analytical tools, the project´s overarching objective was to reduce the research cycle time from weeks or months down to days, perhaps less.
Keywords :
distributed databases; human computer interaction; information filtering; query processing; remote sensing; time series; Data Rods project; data object; data retrieval; data rod query; data time-series; distributed databases; downloading overhead avoidance; extraneous data filtering; gridded coordinates; information encapsulation; massive cryospheric data sets; object databases; project overarching objective; remotely-sensed data; research cycle time reduction; server-side processing; stand-alone databases; temporal data analysis; user-friendly analytical tools; Computer architecture; Distributed databases; Microprocessors; Remote sensing; Satellites; Sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6352413
Filename :
6352413
Link To Document :
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