This repository contains code for processing all-sky images generated by the Mid-latitude All-sky-imager Network for Geospace Observations (MANGO), a project funded by the US National Science Foundation (NSF) (Grant # AGS-1452357 and AGS-1933013). MANGO has a network of 7 all-sky (wide-angle) cameras across the continental United States to observe the ionospheric airglow occurring at the heights of 250-300km and 9 proposed cameras observing the airglow at 90-100km. More information at the MANGO website.
The mangopy project is a python package for accessing and visualizing MANGO data. The project has several authors as mentioned in each code header. This code can be applied to image processing of other all-sky data (i.e. systems with wide-angle cameras pointed vertically towards the sky). The code was developed under three NSF funded projects, MANGO (Grant # AGS-1452357 and AGS-1933013) and InGeO (Grant # OAC-1835573).
Cartopy <https://scitools.org.uk/cartopy/docs/latest/index.html> is used for visualizing MANGO data and must be installed before mangopy. Please refer to the cartopy installation instructions <https://scitools.org.uk/cartopy/docs/latest/installing.html#installing> and make sure cartopy is successfully installed on your system before attempting to install mangopy.
Mangopy can be installed with pip::
pip install mangopy
The mangopy developers encourage community contributions! Please create a pull request <https://github.com/mangonetwork/mangopy/pulls>_ if you've fixed a problem or created a new feature that would be useful to the community!
For basic usage examples, please refer to the mangopy tutorial jupyter notebook, mangopy tutorial <https://github.com/astib/MANGO/blob/master/mangopy_tutorial.ipynb>_.
Full mangopy documentation <https://mangopy.readthedocs.io/en/latest/>_