For my final Metis data science boot camp project, I knew I wanted to get some experience using neural networks on image data. After going back and forth on all sorts of ideas (who doesn’t when they are trying to come up with an interesting, but do-able, project?), I ultimately landed on classifying mangrove forests using satellite imagery.

Mangrove Forests

Mangroves are salt-tolerant, tropical trees that live and thrive along warm coastal waters. There are around 135,000 square kilometers of mangrove forested areas around the world. These mangrove forests store 4–10 times more carbon than ordinary land forests (per unit area), protect…

Nicholas Kinnaird

Data scientist with a PhD in particle physics.

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