Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/40781
Title: A satellite-remote-sensing-based marine and atmospheric spatio-temporal data model
Authors: Fang, C
Lin, H
Guilbert, E
Chen, G
Keywords: Data modeling
Satellites
Remote sensing
Visualization
Databases
Issue Date: 2006
Publisher: SPIE-International Society for Optical Engineering
Source: Proceedings of SPIE : the International Society for Optical Engineering, 2006, v. 6420, 64200F How to cite?
Journal: Proceedings of SPIE : the International Society for Optical Engineering 
Abstract: In this study, a marine and atmospheric spatio-temporal data model (MASTDM) based on satellite remote sensing has been developed to support the global oceanic and atmospheric research and application in the Marine and Atmospheric Geographical Information System (MAGIS). MASTDM conceptualizes the spatial distribution and temporal sampling of the satellite remote sensing data. The model has provided a mechanism service to store data and some subroutines to retrieve and manipulate data. These subroutines can be classified into the fundamental functions (definition, access, inquiry, export) and the advanced functions (transform, operation, validation and mend and etc). MASTDM is not only a solid foundation of the three modules (database management, spatial-temporal analysis and visualization) of MAGIS, but also a key to integrate these three modules seamlessly. In this paper, the conceptual and logical designs of MASTDM have been presented. A prototype system based on MASTDM has been implemented in MAGIS, it is also illustrated by some case study.
Description: Geoinformatics 2006 : Geospatial Information Science, Wuhan, 28-29 October 2006
URI: http://hdl.handle.net/10397/40781
ISSN: 0277-786X
EISSN: 1996-756X
DOI: 10.1117/12.712678
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