This repository contains the source materials and pointers to the supporting code for the paper:
Preparing for Potential Closure of European Airspaces due to Re-entering Space Objects
Enrico Spinielli, Rainer Koelle, Quinten Goens
EUROCONTROL, Aviation Intelligence Unit, Brussels, Belgium
The increasing frequency of uncontrolled space debris re-entries poses an emerging threat to aviation safety over Europe. This study proposes a data-driven approach to support decision-making for potential airspace closures in response to such re-entries.
We present a methodology that:
- Uses actual flight trajectory data from EUROCONTROL's Network Manager
- Employs H3 geospatial indexing to generate hourly and daily flight densities
- Computes mid-air impact probabilities for debris re-entry corridors
- Aims to inform authorities and stakeholders of exposure and required mitigation actions
With the growth in space activities and orbital objects, the likelihood of uncontrolled space object re-entries intersecting flight paths increases. This paper presents a practical methodology for computing time-varying flight density maps based on actual flight trajectories using H3 geospatial bins. These maps, when combined with modeled re-entry paths and risk buffers, yield dynamic mid-air impact probabilities. The results can support authorities in determining when to implement airspace closures or re-routings.
.
├── media/ # Figures, preamble, acronyms, and HTML/LaTeX header includes
├── _extensions/ # LaTeX extensions
├── R/ # Scripts for trajectory processing, visualizing and H3 binning
├── abstract_dasc25.qmd # Abstract Quarto manuscript
├── paper.qmd # Quarto manuscript (IEEE format)
├── paper.pdf # PDF manuscript (IEEE format)
├── README.md # This file
└── media/references.bib # Bibliography
This project uses Quarto for multi-format scientific publishing.
- Quarto
- A working LaTeX distribution
- R (for statistical scripts, if applicable)
quarto render paper.qmd --to ieee-pdf
# Or for HTML output:
quarto render paper.qmd --to ieee-html- Flight Density: Constructed using historical trajectories recorded by EUROCONTROL's Network Manager.
- Spatial Binning: Flight points are aggregated using Uber’s H3 hexagonal indexing system.
- Risk Estimation: Mid-air probabilities are computed along potential re-entry corridors.
- Demonstration Case: Includes an analysis of an expected re-entry from a 1972 failed USSR Venus mission.
- Enrico Spinielli — [email protected]
- Rainer Koelle — [email protected]
- Quinten Goens — [email protected]
If you use or refer to this work, please cite it as:
@article{spinielli2025airspace,
title = {Preparing for Potential Closure of European Airspaces due to Re-entering Space Objects},
author = {Spinielli, Enrico and Koelle, Rainer and Goens, Quinten},
year = {2025},
institution = {EUROCONTROL}
}Developed by the Aviation Intelligence Unit at EUROCONTROL.
