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Solar storms in the ionosphere have a great impact on human\textquoterights life. It\textquoterights 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.