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Proceedings Paper

Atmospheric pollution spatial data based on multigrid
Author(s): Zhaoming Wang; Wen Wang; Bingqing Hu; Xiaoqian Cheng
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Paper Abstract

The spatial data is important for researching atmospheric pollution by Geographic Information System and Remote Sensing, and multi-grid shows important way on the global sharing, analysis and display. This paper reviews the recent progress of monitoring atmospheric contamination, a new concept: spatial data based on multi-grid, using different size grid in various scale research region in the same platform, and transform the conventional geo-spatial data into multi-grid's geo-spatial data. As an application example, the authors construct of regional atmospheric pollution control and decision support system with MODIS aerosol product and in-situ atmospheric pollution data in China as one of social economic benefits in GEOSS.

Paper Details

Date Published: 19 December 2008
PDF: 11 pages
Proc. SPIE 7151, GEOSS, CEOS, and the Future Global Remote Sensing Space System for Societal Benefits, 71510K (19 December 2008); doi: 10.1117/12.804983
Show Author Affiliations
Zhaoming Wang, Renmin Univ. of China (China)
Wen Wang, Renmin Univ. of China (China)
Bingqing Hu, Institute of Atmospheric Environment (China)
Xiaoqian Cheng, Renmin Univ. of China (China)

Published in SPIE Proceedings Vol. 7151:
GEOSS, CEOS, and the Future Global Remote Sensing Space System for Societal Benefits
Stephen A. Mango; Stephen P. Sandford; Ranganath R. Navalgund; Haruhisa Shimoda, Editor(s)

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