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 is used for visualizing MANGO data and must be installed before mangopy. Please refer to the cartopy installation instructions and make sure cartopy is successfully installed on your system before attempting to install mangopy.
Mangopy can be installed with pip:
pip install mangopyThe mangopy developers encourage community contributions! Please create a pull request 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.