Using Python to Track Amateur Satellites


Recently, it’s been difficult for me to find a solid block of time to go down to the shack and operate. I’ve been looking for other things to do, therefore, to stay relevant in the hobby and always keep my learning vectored forward. Since I have an interest in one day building my own satellite station, and I receive the ARRL Keplerian Data emails via AMSAT (which show the latest Two-Line Element (TLE) sets of all the amateur sats), I thought it would be pretty neat as a first step to use Python and code up a predictive tool to plot the and track the location of all the amateur satellites will be given a UTC start and end time.

There are packages which already do this (much better than my own) such as MacDoppler. The perks are it shows coverage (footprints), orbital tracks, and even compensates your radio’s VFO for the satellite’s Doppler. The downside of this package is it costs money ($98 for a license), and it doesn’t make sense for me to pay for it when I don’t have a satellite station to utilize it. The rest of the functionality, though, I could figure out myself if I have enough time to code. And coding, is something I can very easily do on the couch in between changing dirty diapers. 🙂

There are a fair number of dependencies to this codebase which uses Python 2.7. Installed, you must have:

  • Numpy/Scipy: basic and advanced mathematical functionality
  • urllib2: Opens the websites needed to HTML scrape the satellite TLE’s
  • BeautifulSoup: performs the HTML scraping
  • Basemap: This actually plots the map of the world with the satellites across it
  • Tkinter: Creates the GUI windows to ingest data from the user
  • pytz: A package to get local time at your QTH (may already be installed with most distributions)
  • Pyephem: used for validation of my own answers. Really nice library though to do all things astronomical

If you don’t have Python already installed, I recommend using the Anaconda distribution, especially if you don’t have root access on your machine for whatever reason. This is a self-contained Python environment and it is just like installing everything in your /usr/local account.

Once you have Python and all the dependencies successfully installed, you can obtain the code from the link to the GitHub repo.

Basic Operation

The steps to using the software are relatively simple. The user first runs the main executable at a terminal prompt:


From there a GUI window pops up displaying checkboxes next to all the satellites, two entry fields for a start and end UTC time (in 24 hour format), and a Run/Quit button.

The main GUI window for the code. The checkboxes appear next to satellites. The UTC start/end times are entry boxes to the user. REMEMBER TO USE 24 HOUR FORMAT!

Once the Run button is pressed, a map will pop up displaying the satellite track across the Earth for the chosen times. Currently, I would only recommend only plotting 1-2 satellites at a time since the map can become quite cluttered with tracks. Also, I would make the stop time only a few hours different from the start time since many of the satellites will have already executed a complete orbit in that timeframe.

Example output map and track of the ISS

Under the hood

First the software opens the URL of where the latest and greatest satellite TLEs are stored and scrapes them for all the user choices. Next, if the user chooses a UTC time before the most current TLE, the program defaults to using the epoch UTC from the TLE. As for the end date, I wouldn’t go any further than a few days out if you want the results to be fairly accurate.

Once the data has been gathered, internal routines convert the information in the TLE into the needed orbital or Keplerian elements to find the orbital path. Those Keplerian elements then undergo further processing to two different reference frames until finally the latitude and longitude can be extracted. I’d be happy to go into significant detail on what these algorithms are, but I’m pretty sure you probably don’t care! 🙂 Besides, you could easily check out the source code.


I do plan on updating this a bit, so be sure to pull down new updates from the repo often. But, I’m actually really looking for feedback from one or two people to tell me what functionality they would like to see. For now, however, what I have planned is:

  • Display satellite footprints to better see when the satellite is up relative to the QTH
  • Have the map run in real time thereby eliminating the entered start/stop time
  • Compute satellite Doppler offsets
  • Have a function to show which satellites will be up relative to your QTH within a given 48 hour period
  • Validate results beyond a few sample cases involving the ISS

So there you have it! Hopefully if I get the above to-do incorporated into the code as well as comms with the rig (to update VFO based on Doppler, for instance), then I should be able to mimic the MacDoppler capability by only paying the price of time. I’d really like this to be an open-source substitute for that software. There’s still much to be done for this to be a really useful tool, but it’s coming along. Also please alert me to any bugs found. I know there are a ton probably. Happy tracking!


Brian, AB1ZO

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