About the project
This project will use machine learning and big data techniques to develop real-time satellite orbit predictions for safer, smarter space traffic management. It aims to integrate high-precision laser ranging satellite tracking data to continuously update the biggest unknown, atmospheric density. This can improve tracking accuracy by up to an order of magnitude.
The rise of satellite mega-constellations and improved tracking systems has led to an explosion of precise satellite data. This project offers the chance to help solve one of the biggest challenges in modern space operations: managing an increasingly congested low Earth orbit (LEO) environment.
Working with leading academics and our industry partner Lumi Space)
