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In the existing research on hydrogeological surveying and mapping methods, there is a lack of three-dimensional (3D) positioning technology to optimize and improve. Therefore, this study proposes an information hydrogeological mapping system based on radar satellite and big data platform for the first time. It introduces supercontinuum laser hyperspectral (SCLaHS) radar system to image hydrogeology through laser scanning at medium and high altitude, and its 3D positioning algorithm is determined by global navigation satellite system (GNSS) The integration of shadow matching and 3D map aided ranging separately calculates the location solutions of 3D map ranging and shadow matching, and then combines them with direction correlation weighting. The experimental results show that the positioning accuracy of the algorithm is improved a lot, and the average accuracy obtained by using covariance based weighting is improved by 10%, which ensures that the coverage of mapping points is more effective.