Satellite Orbit Classification and Visualization Using TLE Data
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| Format: | Recurso digital |
| Langue: | anglais |
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Zenodo
2025
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| _version_ | 1866902234352058368 |
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| author | Rudraksh Shukla |
| author_facet | Rudraksh Shukla |
| contents | <p>This project presents an interactive visualization and simple classification tool for Earth-orbiting satellites, using Two-Line Element (TLE) data. The project utilizes the Skyfield library in Python to process and visualize satellite positions in 3D space, and to classify satellites based on their orbital altitude and inclination. The visualization component allows users to intuitively explore the spatial distribution of satellites around Earth. This work is intended for educational and research purposes, and is openly accessible under the MIT License.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15627733 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Satellite Orbit Classification and Visualization Using TLE Data Rudraksh Shukla Space debris, Satellite tracking, Satellite orbits, Orbit visualization, Risk zone classification, Space situational awareness, Data visualization, Python, Skyfield, Matplotlib, Plotly, Educational project, Space research, 3D satellite visualization, Low Earth Orbit, Medium Earth Orbit, Geostationary Orbit <p>This project presents an interactive visualization and simple classification tool for Earth-orbiting satellites, using Two-Line Element (TLE) data. The project utilizes the Skyfield library in Python to process and visualize satellite positions in 3D space, and to classify satellites based on their orbital altitude and inclination. The visualization component allows users to intuitively explore the spatial distribution of satellites around Earth. This work is intended for educational and research purposes, and is openly accessible under the MIT License.</p> |
| title | Satellite Orbit Classification and Visualization Using TLE Data |
| topic | Space debris, Satellite tracking, Satellite orbits, Orbit visualization, Risk zone classification, Space situational awareness, Data visualization, Python, Skyfield, Matplotlib, Plotly, Educational project, Space research, 3D satellite visualization, Low Earth Orbit, Medium Earth Orbit, Geostationary Orbit |
| url | https://doi.org/10.5281/zenodo.15627733 |