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Proceedings Paper

Retrieval of ionospheric O/N2 based on FUV imaging data
Author(s): Wang Jing; Yi Tang; Li-jun Tang; Guo-qiang Ni
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Paper Abstract

Solar storms in the ionosphere have a great impact on human's life. It's of great significance to find an effective way for an accurate prediction of solar storms. In this paper, we present a method based on GUVI FUV day-glow imaging data to derive O/N2, an environmental parameter used to forecast Space Weather. In the retrieval, we selected two channels of the FUV wavelengths, OI135.6nm and LBH2. In accordance with the linear relationship between O/N2 and 135.6/LBH, we proposed 135.6/LBH to describe O/N2. With the method described in this paper, the data of a 4-day solar storm, October 1 to 4, 2002, have been processed. Subsequently, the obtained O/N2 maps were in good agreement with previous results. It demonstrated the retrieval process we put up is efficient.

Paper Details

Date Published: 30 October 2009
PDF: 9 pages
Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74982N (30 October 2009); doi: 10.1117/12.833985
Show Author Affiliations
Wang Jing, Beijing Institute of Technology (China)
Yi Tang, Beijing Institute of Technology (China)
Li-jun Tang, Beijing Institute of Technology (China)
Guo-qiang Ni, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 7498:
MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications
Faxiong Zhang; Faxiong Zhang, Editor(s)

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