Tool to predict next times when the ISS is flying over your home. Tells you how well it is visible.
Visualizes predicted ISS trajectory on world map. User interaction to predict position for selected location.
Latest ISS trajectory data needs to be fetched from ARISS.
User chooses country and city to specify coordinates (latitude/longitude) of observer.
Predicts orbit of ISS and next passover timings.
User interface. Red cross - Observer. Yellow cross - ISS location.
Choose the location of observer from the box on top. The ISS is tracking from current time, and jumps to a future time just before pass overs after pressing the button Next passover.
- Wrapper for orbit predictor. Included as git submodule.
- PySimpleGUI for user interaction visualisation.
- SGP4 for orbit prediction.
- Python Image Library for showing the world map.
These modules can be installed with pip, using the requirements.txt file. See below
It's recommended to use virtual environments to avoid a headache with Python module conflicts. Enter python3 -m venv . into the command line. If this does not work, you might need to install venv.
Start it using source ./bin/activate
Install modules:
pip install -r requirements.txt
Run the code:
cd ISSgazer
python main.py
Note that for high prediction accuracy it is a good idea to get the latest ISS trajectory data from ARISS. Copy the coordinates into the iss.tle file in the data directory.
- More user friendly selection of observer location.
- Load latest ISS coordinates automatically.
- Show local timezones of selected observation location instead of UTC.
- Filter predictions by closest distance.
- Filter predictions by time delta to sunrise or sunset.
- Weather forecast for next passes.
- Option of 3D and 2D map.