Earth Imaging Journal: Remote Sensing, Satellite Images, Satellite Imagery
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One of the programs funded through NASA’s ACCESS develops maps such as this preliminary surface water map of the Ohio River to accurately measure river widths around the world, allowing other scientists to use this data and machine learning to estimate river flow rates. (Credit: Fritz Policelli, NASA Goddard Space Flight Center)

NASA has accumulated about 40 petabytes (PB) of Earth science data, which is about twice as much as all the information stored by the Library of Congress. In the next five years, NASA’s data will grow up to 250 PB—more than six times larger than what NASA has now.

The sheer amount of data provided by NASA gives scientists and the public the extensive Earth science information they need for informed research and decision-making. But that amount of data creates a slew of challenges, including how to store the data, how to get it into consistent and usable formats, and how to search massive data sets.

To help address these issues, NASA has funded 11 new projects as part of the agency’s Earth Science Data Systems’ Advancing Collaborative Connections for Earth Systems Science (ACCESS) program. Proposals submitted in 2019 and funded in 2020 focused on three areas: machine learning, science in the cloud and open source tools.

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