Summary
The adaptative classification of the rays received from a constellation of geodetic satellites (GPS) by a set of ground receivers is performed using neural networks. This strategy allows to improve the reliability of reconstructing the Ionospheric electron density from GPS data. As an example, we present the evolution of the radially integrated electron density (Total Electron Content, TEC) during the day 18th October 1995, coinciding with an important geomagnetic storm. Also the problems in the vertical reconstruction of the electron density are discussed, including the data coming from one Low Earth Orbiter GPS receiver: the GPS/MET. Finally is proposed as main conclusion a new strategy to estimate the ionospheric electron distribution, using GPS data, at different scales —the 2-D distribution (TEC) at Global scale and the 3-D distribution (Electron density) at Regional scale—.
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© 1998 Springer Japan
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Hernández-Pajares, M., Juan, J.M., Sanz, J. (1998). Application of Kohonen maps to the GPS Stochastic Tomography of the Ionosphere. In: Hayashi, C., Yajima, K., Bock, HH., Ohsumi, N., Tanaka, Y., Baba, Y. (eds) Data Science, Classification, and Related Methods. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Tokyo. https://doi.org/10.1007/978-4-431-65950-1_38
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DOI: https://doi.org/10.1007/978-4-431-65950-1_38
Publisher Name: Springer, Tokyo
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