smachy

Pixel based classification for solar thematic maps


Keywords
astronomy, computer-vision, machine-learning, machinelearning, solar-physics
License
MIT
Install
pip install smachy==0.0.4

Documentation

smachy

If you're looking for the training tool, please go to suvi-trainer.

A toolset for creating thematic maps of solar images from the Solar Ultraviolet Imager (SUVI) aboard NOAA's GOES-16 satellite using a several supervised machine learning algorithms.

smachy comes from "solar machine learning in python"

Install

I recommend using virtualenv to ensure that there are no package conflicts. Regardless, this software suite can be installed with:

pip3 install smachy

If problems are encountered, please contact me.

Results

Some of the results are discussed in the paper submitted to the Journal of Space Weather and Space Climate.