Resources for Monitoring GNSS Interference Using ADS-B
Accessing the Data
You can access the data using our GitHub repository, which includes Python tools for downloading JSON files directly from our website.
- Select a start and end date, and specify the data type: jamming, spoofing, or dashboard.
- Includes helper functions for visualizing heatmaps and events in Python.
- Refer to the README for detailed usage instructions.
License and Attribution
All data provided through rfi.stanford.edu are licensed under the Creative Commons Attribution–NonCommercial 4.0 International License (CC BY-NC 4.0).

You are free to share and adapt the data for non-commercial purposes, provided that proper credit is given. When using the data in tools, websites, or visualizations, please include the following attribution:
“Data from rfi.stanford.edu, Stanford GPS Laboratory.”
For academic publications, please cite the following reference instead of the short attribution:
@article{liu2025locating,
author = {Liu, Zixi and Lo, Sherman and Blanch, Juan and Chen, Yu-Hsuan and Walter, Todd},
title = {Locating {GNSS} interference sources using {ADS-B} with non-linear least squares},
journal = {NAVIGATION},
year = {2025},
volume = {72},
number = {3},
doi = {10.33012/navi.716},
url = {https://doi.org/10.33012/navi.716}
}If you would like to use the data for a commercial purpose, please contact us first. We will help coordinate with Stanford’s Office of Technology Licensing (OTL) to arrange a separate license.
Last updated: October 2025
Previous Website
If you’ve been following my work from the beginning, you might be wondering:“Where’s the old website?”
Well, good news — it’s still alive and kicking! 💪 I couldn’t bring myself to shut it down, so it’s still running 24/7.
You can visit it here: Visit Old Website
Common Q&A
If you have any questions or would like to explore potential collaborations, feel free to reach out to Zixi Liu, at liu1322@stanford.edu.
Acknowledgments
I want to express my sincere gratitude to Igor Barakaiev, Louis Weisdorf, and Yu-Hsuan Chen. The website would not look the way it does today without their support and contributions. It was a pleasure working with them!
Most importantly, heartfelt thanks to everyone at Stanford GPS Lab for the inspiring environment and constant encouragement!





