@inproceedings{668a7c862bea40569273c506c9dee9a8,
title = "Retrieval of ionospheric O/N2 based on FUV imaging data",
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.",
keywords = "135.6/LBH, GUVI, O/N, Retrieval technique",
author = "Wang Jing and Yi Tang and Tang, {Li Jun} and Ni, {Guo Qiang}",
year = "2009",
doi = "10.1117/12.833985",
language = "English",
isbn = "9780819478092",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "MIPPR 2009 - Remote Sensing and GIS Data Processing and Other Applications",
note = "MIPPR 2009 - Remote Sensing and GIS Data Processing and Other Applications: 6th International Symposium on Multispectral Image Processing and Pattern Recognition ; Conference date: 30-10-2009 Through 01-11-2009",
}