global-climate
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medOblla / water_tracker
This project aimed to use satellite imagery and machine learning to track changes in water bodies over a four-year period, with the ultimate goal of informing decision-making and management strategies to preserve these resources in the face of climate change. The project utilized multiple datasets to gather a comprehensive picture of water bodies.
Language:Python 2