Machine Learning and Satellite Imagery

Back in the spring, I had some fun doing experimentation around machine learning models for labelling satellite imagery with atmospheric conditions and various classes of land cover/land. You can check out my work in an open source Kaggle notebook. For this I trained on the data provided in the Planet Kaggle competition, Understanding the Amazon from Space.

This notebook is merge of and with port to fastai v2 and vast simplification of training.

If you choose to run on Kaggle the following settings might be useful:

  • data If you need access to data from Kaggle: go to add data, then search for planet. It’s the top result; unfortunately only JPGs not TIFF
  • settings In Kaggle, make sure to go to settings on the right, and choose GPU as accelerator and enable internet. I set the environment to the latest environment

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