Proceedings Paper
Atmospheric pollution spatial data based on multigrid| Format | Member Price | Non-Member Price |
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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
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)
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
Bingqing Hu, Institute of Atmospheric Environment (China)
Xiaoqian Cheng, Renmin Univ. of China (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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