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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