Radiant Earth Foundation

Radiant Earth Foundation is an American non-profit organization founded in 2016. Its goal is to apply machine learning for Earth observation to meet the Sustainable Development Goals. The foundation works on developing openly licensed Earth observation machine learning libraries, training data sets and models through an open source hub that support missions worldwide like agriculture, conservation, and climate change. Radiant Earth also works on a community of practice that develop standards, templates and APIs 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".

The Foundation is funded by Schmidt Futures, Bill & Melinda Gates Foundation, McGovern Foundation and the Omidyar network

See also

• Earth Observation – Information about the Earth environment, remote or in situPages displaying short descriptions of redirect targets
• 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

• "Radiant Earth Foundation – Earth Imagery for Impact". radiant.earth. Retrieved 2020-08-27.
• "Satellites and AI Can Help Solve Big Problems—If Given the Chance" Retrieved 2022-07-11
• "The billionaire philanthropists intent on using satellites to save the world" Retrieved 2022-07-11
• "Use of artificial intelligence and machine learning in NASA" Retrieved 2022-07-11

1. Earth observation
2. Gina Trapani
3. Radiant barrier
4. A Radiant Curve
5. Stefan–Boltzmann law
6. Psychohistory (fictional science)
7. Demerzel
8. Miss Earth
9. List of Foundation series characters
10. Ashwini Bhat
11. John Tyndall
12. Climate model
13. Tunguska event
14. The Penguins
15. Hari Seldon
16. Light-emitting diode
17. Building insulation
18. The Broken Kilometer
19. Anti-Monitor
20. Habitable zone