Data scientists use new techniques to identify lakes and reservoirs around the world

Read the full story from the University of Minnesota.

A University of Minnesota Twin Cities-led team of data scientists has published a first-of-its-kind comprehensive global dataset of the lakes and reservoirs on Earth showing how they have changed over the last 30+ years. 

The data will provide environmental researchers with new information about land and fresh water use as well as how lakes and reservoirs are impacted by humans and climate change. The research is also a major advancement in machine learning techniques.

A paper highlighting the Reservoir and Lake Surface Area Timeseries (ReaLSAT) dataset was recently published in Scientific Data, a peer-reviewed, open-access journal published by Nature.

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