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Proceedings Paper

A new space-time information expression and analysis approach based on 3S technology: a case study of China's coastland
Author(s): Bao Cao; Hong Luo; Zhenji Gao
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Paper Abstract

Space-time Information Expression and Analysis (SIEA) uses vivid graphic images of thinking to deal with information units according to series distribution rules with a variety of arranging, which combined with the use of information technology, powerful data-processing capabilities to carry out analysis and integration of information units. In this paper, a new SIEA approach was proposed and its model was constructed. And basic units, methodologies and steps of SIEA were discussed. Taking China's coastland as an example, the new SIEA approach were applied for the parameters of air humidity, rainfall and surface temperature from the year 1981 to 2000. The case study shows that the parameters change within month alternation, but little change within year alternation. From the view of spatial distribution, it was significantly different for the parameters in north and south of China's coastland. The new SIEA approach proposed in this paper not only has the intuitive, image characteristics, but also can solved the problem that it is difficult to express the biophysical parameters of space-time distribution using traditional charts and tables. It can reveal the complexity of the phenomenon behind the movement of things and laws of nature. And it can quantitatively analyze the phenomenon and nature law of the parameters, which inherited the advantages of graphics of traditional ways of thinking. SIEA provides a new space-time analysis and expression approach, using comprehensive 3S technologies, for the research of Earth System Science.

Paper Details

Date Published: 30 October 2009
PDF: 5 pages
Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 749417 (30 October 2009); doi: 10.1117/12.828960
Show Author Affiliations
Bao Cao, Chinese Research Academy of Environmental Sciences (China)
Hong Luo, Chinese Research Academy of Environmental Sciences (China)
Zhenji Gao, Chinese Research Academy of Environmental Sciences (China)

Published in SPIE Proceedings Vol. 7494:
MIPPR 2009: Multispectral Image Acquisition and Processing
Faxiong Zhang; Faxiong Zhang, Editor(s)

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