Semi-supervised classification of lower-ionospheric perturbations using GNSS radio occultation observations from Spire Global’s Cubesat Constellation

Semi-supervised classification of lower-ionospheric perturbations using GNSS radio occultation observations from Spire Global’s Cubesat Constellation

This study presents a new methodology to automatically classify perturbations in the lower ionosphere using GNSS radio occultation (RO) observations collected using Spire’s constellation of CubeSats. This methodology combines signal processing techniques with semi-supervised machine learning by appl...

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Bibliographic Details
Main Authors: Savastano Giorgio, Nordström Karl, Angling Matthew J.
Format: Article
Language:English
Published: EDP Sciences 2022-01-01
Series:Journal of Space Weather and Space Climate
Subjects:
ionosphere
gnss-ro
perturbations
classification
cubesats
Online Access:https://www.swsc-journal.org/articles/swsc/full_html/2022/01/swsc210079/swsc210079.html

Internet

https://www.swsc-journal.org/articles/swsc/full_html/2022/01/swsc210079/swsc210079.html

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