Paper
30 October 2009 Retrieval of ionospheric O/N2 based on FUV imaging data
Wang Jing, Yi Tang, Li-jun Tang, Guo-qiang Ni
Author Affiliations +
Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 74982N (2009) https://doi.org/10.1117/12.833985
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wang Jing, Yi Tang, Li-jun Tang, and Guo-qiang Ni "Retrieval of ionospheric O/N2 based on FUV imaging data", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74982N (30 October 2009); https://doi.org/10.1117/12.833985
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KEYWORDS
Data processing

Image resolution

Image retrieval

Imaging systems

Solar processes

Thermosphere

Data corrections

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