Mapping Farmland from Satellite Imagery

In this post, I walk you through my capstone project for the Metis Data Science Bootcamp, which I completed in the Spring of 2017. The goal of the project was to perform semantic segmentation on satellite images in order to map out farmland around the city of Shanghai. The project includes some geospatial analysis, as well as training several convolutional neural netwrorks for a pixel-by-pixel classification of the images.
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Why Data Science?

It may seem odd to some that someone who has spent the past 10 years working primarily as a personal fitness trainer would pursue a transition into the world of data science. You may find it even more strange after learning that I also have not received much formal education in mathematics or computer science. Yet, I’d be willing to wager that by the time you finish reading this post, data science will seem like the natural next step in a man’s mission to do some good in this world.

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