We are an European group of people interested in the observation of local and international air traffic. Whether out of interest in (radio) technology, development of hardware and software, or simply in unfiltered air traffic: Every antenna in the network matters ‒ especially to improve coverage at low altitudes! Through an extensive network of receiving stations, everyone contributes their part to the information variety. If you already operate your own ADS-B receiver or require advice in selecting the best hardware for your location, contact us.
Public api for aircraft, airlines, and flight routes. No API key, everything is rate limited over a 60 second period.
I don't know how useful or reliable it is yet.
Plots the vertical atmospheric structure as plots between altitude and temperaturem and altitude vs. wind speed using aircraft data collected from the dump1090-fa ADSB decoder. The calculations are similar to those used in the tar1090 package. Reads the JSON data from dump1090-fa/history_xx.json files.
One of the things that always seemed really hard when it comes to setting up an ADSB feeder is that very first step. How do you get started?
Pretty much all of the instructions are written for people who are familiar with computers, happy to edit config files, to download individual pieces and make it all work, logged in to a command line interface. Yet at the same time, that obviously is just a tiny fraction of the people who might be interested in this hobby. From this observation grew the idea to build a project that would make this process super simple, without going down the path of proprietary hardware and software (like so many of the commercial feeders do). All of this is open source, all the infrastructure is agnostic of the aggregators you want to feed.
Supported Single Board Computers (SBCs)
- Raspberry Pi Zero 2, 3a/b, and 4 (tested on 3a and 4 - note that Pi Zero W will NOT work)
- Asus Tinkerboard (tested)
- Libre Computing Le Potato (tested) and Renegade (tested)
- Orange Pi 3LTS (tested - no wifi support), 4LTS, and 5
- Banana Pi M5 / M2P
- Odriod C4
- Rockpi 4
A curated list of awesome ASD-B tools, projects, images, resources and other shiny things.
A page that explains how to reconfigure your ADSB traffic node to send what it hears to adsb.fi
A project that uses your browser's Web USB API, an RTL-SDR dongle and antenna, and some vanilla JS code to implement an ADSB tracker without a dedicated server. Doesn't use a web design framework so you can check it out and throw a web server (like http.server) on it, and there you go.
Many aircraft broadcast information about how accurate their navigation system, which is almost always GPS, is at any given moment. The GPSJam map aggregates that data over 24 hours in time bins it into a hexagonal map. Green hexagons show where more than 98% of all aircraft who flew through that area reported good navigation accuracy. Yellow hexagons show where between 2% and 10% of aircraft reported low navigation accuracy. Red hexagons show where more than 10% of aircraft reported low navigation accuracy.
Data is pulled from ADSB Exchange.
skies-adsb is a virtual plane spotting progressive web app / virtual aquarium (with aircraft instead of fish) / interactive real-time simulation. Aircraft are tracked via unfiltered ADS-B transponder data in real-time and rendered in 3D. The ADS-B data source is meant to be a RTL-SDR receiver connected to a Raspberry Pi running on your home network. Flight status data is provided by the FlightAware AeroAPI v2. The aircraft photos are provided by Planespotters.net.
Guide to aircraft tracking using ADS-B reception with SDR and docker containers. Published on GitBook.
Github: https://github.com/sdr-enthusiasts/gitbook-adsb-guide
Scripts and stuff for manipulating the json files generated by FlightAware's version of dump1090. Mostly command line and ncurses.
Aircraft owners or designated representative may request limiting aircraft data displayed (formally referred to as blocking) or unblocking of flight tracking data. Limiting aircraft data from the FAA data systems will limit flight tracking information transmitted over the Internet. “Unblocking” will ensure aircraft flight data will be included in the FAA data feed utilized by internet flight tracking vendors.
A wholly unnecessary replacement for Dump1090's web interface for tracking ADS-B equipped aircraft.
Uses the JSON format provided by an existing Dump1090 web server, but presents it using military symbology. Just because you can, doesn't mean you should? Written in Javascript, but I don't know if it requires node.js or if it's just an HTML page with JS in it. Requires a couple of API keys.
Simple program to decode ADS-B signals from an RTLSDR and track aircraft on a map. Makes use of a Dash webserver to display the dashboard.
My Advisory Circular network of twitter bots post in real-time whenever they detect aircraft flying in circles over cities around the world, including Los Angeles, Baltimore, Portland, Minneapolis, and London. The bots often tweet about news and fire aircraft, and because they use an uncensored source of data they also tweet police, FBI, DHS, DEA, CBP, and military aircraft. They look for circles because it means an aircraft is doing something instead of going somewhere. If you've ever asked “what is that helicopter/plane?” there’s a good chance my bots can answer your question—even if it's an advanced military surveillance plane.
Graphs for dump1090 (based on dump1090-tools by mutability). Message rate, aircraft seen, tracks seen, range, signal strength... front end to rrdtool and collectd.
A personal, open source air traffic map. Designed for use on boxen that are RTL-SDR enabled, monitoring ADSB traffic, and are running a web server. Connects to the network port of dump1090-fa, readsb, dump1090, dump1090-mutability, or skyaware978 for its data. All-in-one installation script. Implemented with a shell script.
The OpenSky Network was initiated in 2012 by researchers from armasuisse (Switzerland), University of Kaiserslautern (Germany), and University of Oxford (UK). The objective was (and still is!) to provide high quality air traffic data to researchers. By now, the OpenSky Network has become a non-profit association based in Switzerland and is supported by a growing number of contibutors from industry and academia. Researchers from different areas are using the data that is provided by people from all around the world.
You can even track planes' filed flight plans from their API: https://opensky-network.org/api/routes?callsign=EDW200E