ClimaCast is a command-line tool written with Python that provides meteorology reports and forecasts, satellite pass predictions, communications decoding, and imagery analysis for NOAA satellites.
ClimaCast features four main features for NOAA satellite reconnaissance. They include the following:
Get up-to-date weather forecasts, data, and alerts from NOAA satellites. You can choose to get information via GPS coordinates, station ID, or area code. The retrieved data will be visualized and formatted in a table outline. The image below includes an example of a parsed forecasting report provided using an inputted GPS coordinate.
Predict radio or visual satellite passes of all NOAA satellites by inputting your GPS coordinates, altitude, and visibility. Pass prediction data will be visualized and displayed in a table outline as shown below.
Decode NOAA satellite images by inputting audio MP3 files of satellite transmissions. There is also a resampling feature to resample the file before decoding. The output of the decoding is saved as a PNG file. An example output is displayed below.
Retrieve meteorological images from the Sentinel-2 data collection for remote sensing analysis. Thumbnail satellite images can be saved in the JPG format. Remote raster data files (one per optical band, as acquired by the multi-spectral instrument) can be saved as a TIF file.
The CLI will prompt for N2YO credentials if none are present in your environmental variables. Ensure to configure it as an environment variable.
Create an account at N2YO and save the API key.
Ensure the N2YO API Key is configured in the .env file
N2YO_API=API_KEY_HERE
To run ClimaCast, you will need Python3 and Pip installed.
$ pip install -r requirements.txt
$ python3 climacast.py- NOAA Weather Services: Retrieve Forecasts and Weather Details
- N2YO: Retrieve Satellite Pass Predictions
- AWS Sentinel-2 Dataset: Retrieve Sentinel-2 Satellite Imagery
There are a set of environment variables utilized in ClimaCast. In order to set up the API and tailor the values for your specific meteorological research purposes, you can go to the .env file and adjust the following values:
N2YO_API N2YO API Key
RESAMPLE_RATE resampling number for satellite APT decoder
To learn more about meteorology, weather satellites, and the development of ClimaCast, refer to this article.
ClimaCast is open to any contributions. Please fork the repository and make a pull request with the features or fixes you want to be implemented.
- Other decoder formats such as LRPT and DVB
- Implement custom pass prediction algorithms such as SGP4
- Make satellite imagery retrieval more cohesive and grid-based
If you enjoyed ClimaCast, please consider becoming a sponsor in order to fund my future projects.
To check out my other works, visit my GitHub profile.