OpenSky Report 2025: Improving Crowdsourced Flight Trajectories with ADS-C Data
Junzi Sun, Xavier Olive, Martin Strohmeier, Vincent Lenders

TL;DR
This paper demonstrates how integrating ADS-C satellite data with traditional ADS-B data enhances the accuracy and coverage of global flight trajectory reconstructions, especially over remote oceanic and African regions.
Contribution
It introduces a novel method for combining ADS-B and ADS-C data to improve long-haul flight path accuracy over previously underrepresented areas.
Findings
Significant improvement in trajectory reconstruction accuracy.
Enhanced coverage over oceanic and African regions.
Facilitates better environmental and safety assessments.
Abstract
The OpenSky Network has been collecting and providing crowdsourced air traffic surveillance data since 2013. The network has primarily focused on Automatic Dependent Surveillance--Broadcast (ADS-B) data, which provides high-frequency position updates over terrestrial areas. However, the ADS-B signals are limited over oceans and remote regions, where ground-based receivers are scarce. To address these coverage gaps, the OpenSky Network has begun incorporating data from the Automatic Dependent Surveillance--Contract (ADS-C) system, which uses satellite communication to track aircraft positions over oceanic regions and remote areas. In this paper, we analyze a dataset of over 720,000 ADS-C messages collected in 2024 from around 2,600 unique aircraft via the Alphasat satellite, covering Europe, Africa, and parts of the Atlantic Ocean. We present our approach to combining ADS-B and ADS-C…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAir Traffic Management and Optimization · UAV Applications and Optimization · Advanced Aircraft Design and Technologies
