Accessing the Data

You can access the data using our GitHub repository, which includes Python tools for downloading JSON files directly from this website.

• Select a start date, an end date, and a data type: jamming, spoofing, or dashboard.
• Use the included helpers to visualize heatmaps and events in Python.
• See the README for instructions and examples.

Using and Citing the Data

Please use the credit format below that best matches your use.

Screenshots, presentations, and websites

When reproducing a map, screenshot, figure, or visualization, please include this short attribution:

Source: Stanford GPS Lab, rfi.stanford.edu.

Papers, reports, and other academic work

Please cite the dissertation for the monitoring system and data. If your work specifically uses the localization method, please also cite the journal article.

Dissertation

Liu, Zixi. Automated Global Monitoring, Detection, and Localization of GNSS Interference Using ADS-B Data. Ph.D. dissertation, Stanford University, 2026.

BibTeX

@phdthesis{liu2026automated,
  author = {Liu, Zixi},
  title  = {Automated Global Monitoring, Detection, and Localization of
            {GNSS} Interference Using {ADS-B} Data},
  school = {Stanford University},
  year   = {2026},
  type   = {{Ph.D.} dissertation},
  doi    = {10.25740/xh654zt1756},
  url    = {https://doi.org/10.25740/xh654zt1756}
}

Localization method

Liu, Zixi, Sherman Lo, Juan Blanch, Yu-Hsuan Chen, and Todd Walter. “Locating GNSS Interference Sources Using ADS-B with Non-Linear Least Squares.” NAVIGATION, 72(3), 2025.

BibTeX

@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}
}

License

Data provided through rfi.stanford.edu are available under the Creative Commons Attribution–NonCommercial 4.0 International License (CC BY-NC 4.0). You may share and adapt the data for non-commercial purposes with appropriate credit.

Commercial use

For commercial use, please contact us first. We can coordinate with Stanford's Office of Technology Licensing (OTL) regarding a separate license.

Last updated: August 2026

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!