The increasing ubiquity of satellite data over the last two decades is helping scientists observe and monitor the health of our constantly changing planet. By tracking specific regions of the Earth’s surface, scientists can observe how regions like forests, water bodies, or glaciers change over time. One such region of interest for geologists is mangrove forests. These forests are essential to the overall health of the planet and are one of the many areas across the world that are impacted by human activities. In this post, we show how to get access to satellite imagery data containing mangrove forests and how to visually interact with the data in Amazon SageMaker Studio. In Part 2 of this series, we show how to train a machine learning (ML) model using Amazon SageMaker Autopilot to identify those forests from a satellite image.
Overview of solution
A large number of satellites orbit the Earth,

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