Using multi-modal AI to predict water quality

Daniel Dominguez


Supervised by Oktay Karakus; Moderated by Steven Schockaert

Explore the use of training machine learning algorithms using multi-modal datasets through the use of ecoregion categorizations and type of body of water for measuring water quality parameters. Explore the use of using more remote sensing indexes than what is available in Landsat base images.

Final Report (11/09/2023) [Zip Archive]

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