Starlink Constellation Collision Risk Analysis 🚀

Description

This project analyzes satellite collision risks in dense orbital environments using spatial indexing techniques.

A KD-Tree based approach is used to efficiently identify nearby satellites and prioritize high-risk conjunction events.

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Technologies Used

• Python
• Pandas
• NumPy
• Scikit-learn
• KD-Tree
• Plotly / Dash (optional)

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Key Features

• Scalable collision screening using KD-Tree
• Data preprocessing pipelines for orbital datasets
• Risk prioritization of close-proximity satellite events
• Visualization of high-risk encounters

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Outcome

Built a prototype system to analyze dense satellite constellations and identify potential collision zones.

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Datasets

• SpaceX Satellite Dataset.csv
• multi_satellite_collision_dataset.csv

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Author

Writick Parui
M.Tech CSE @ Thapar University
GATE 2025 | Former TCS Intern

GitHub: https://github.com/writickp3-ctrl

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License

Educational and research use only.