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Radiant Earth Foundation
US nonprofit organization From Wikipedia, the free encyclopedia
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Radiant Earth Foundation is an American non-profit organization founded in 2016.[1][2] Its goal is to apply machine learning for Earth observation[3] to meet the Sustainable Development Goals.[4] The foundation works on developing openly licensed Earth observation machine learning libraries, training data sets[5] and models through an open source hub[6] that support missions worldwide[7] like agriculture,[8] conservation, and climate change.[9] Radiant Earth also works on a community of practice that develop standards, templates and APIs[6] around machine learning for Earth observation. According to scholar David Lindgren, the foundation "serves to make satellite imagery widely accessible and usable for development practitioners".[10]
 | This article needs attention from an expert in Computer science. The specific problem is: more secondary sources needed. (October 2020) |
The Foundation is funded by Schmidt Futures, Bill & Melinda Gates Foundation,[1] McGovern Foundation and the Omidyar network[9]
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See also
- Earth Observation – Information about the Earth envirnment
- Machine learning – Study of algorithms that improve automatically through experience
- Big data – Extremely large or complex datasets
- List of datasets for machine learning research
Notes
External links
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