Issue |
E3S Web of Conf.
Volume 531, 2024
Ural Environmental Science Forum “Sustainable Development of Industrial Region” (UESF-2024)
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|
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Article Number | 04003 | |
Number of page(s) | 7 | |
Section | Environmental Monitoring and Pollution Control | |
DOI | https://doi.org/10.1051/e3sconf/202453104003 | |
Published online | 03 June 2024 |
Analysis of space weather and small satellite data in polar orbit using machine learning
Northern (Arctic) Federal University, Northern Dvina emb., 17, Arkhangelsk, 163000, Russia
* Corresponding author: listov.do@edu.narfu.ru
This publication explores the dependencies between factors of space weather (geomagnetic indices Dst, Kp, and Ap, Wolf solar activity index, and solar wind parameters) and the telemetry of the small satellite Cubebel-1. The importance of maintaining the functionality of such satellites in orbit is described based on the research results of specialists in this field. A correlation analysis is presented, conducted using Python language tools. The results are presented in the form of a correlation matrix. A comparison is made between the results of this study and similar results of correlation analysis conducted with data from the satellite Siriussat-1. Suggestions for further research using the telemetry of the Cubebel-1 satellite are provided.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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