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Proceedings Paper

A satellite-remote-sensing-based marine and atmospheric spatio-temporal data model
Author(s): Chaoyang Fang; Hui Lin; Eric Guilbert; Ge Chen
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Paper 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.

Paper Details

Date Published: 28 October 2006
PDF: 7 pages
Proc. SPIE 6420, Geoinformatics 2006: Geospatial Information Science, 64200F (28 October 2006); doi: 10.1117/12.712678
Show Author Affiliations
Chaoyang Fang, The Chinese Univ. of Hong Kong (Hong Kong China)
Hui Lin, The Chinese Univ. of Hong Kong (Hong Kong China)
Eric Guilbert, The Chinese Univ. of Hong Kong (Hong Kong China)
Ge Chen, Ocean Univ. of China (China)

Published in SPIE Proceedings Vol. 6420:
Geoinformatics 2006: Geospatial Information Science
Jianya Gong; Jingxiong Zhang, Editor(s)

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