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Regression approaches for ocean parameters retrieval

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Machine Learning Regression for Ocean Parameters retrieval

Regression approaches for ocean parameter retrievals.

This repository contains the code used in the paper: "Machine learning regression approaches for colored dissolved organic matter (CDOM) retrieval with Sentinel 2 and Sentinel 3 data".

The repository contains:

  • The script ml_regression.py train and save the proposed models with the different combination of bands.
  • The notebook results.ipynb evaluates the different trained models.
  • The notebook cdom_predict_image.ipynb loads a Sentinel-3 image and apply a trained model to the data.
  • Some helper functions used by the aforementioned scripts on the folder ml.

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