Radiant Earth Foundation

Source: Wikipedia, the free encyclopedia.

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]

The Foundation is funded by Schmidt Futures, Bill & Melinda Gates Foundation,[1] McGovern Foundation and the Omidyar network[9]

See also

  • Earth Observation
     – Information about the Earth environment, remote or in situ
  • 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

  1. ^ a b Totaro, Paola (3 March 2017). "Daten für alle – Gates startet Satelliten-Projekt". Reuters Weltnachrichten. Retrieved 9 October 2020.
  2. ^ "Radiant Earth Annual Report 2019" (PDF). 2020.
  3. .
  4. ^ "Radiant Earth Foundation". www.data4sdgs.org. Retrieved 2020-08-27.
  5. ].
  6. ^ .
  7. ^ "Radiant Earth Foundation Releases First Earth Imagery Platform for Global Development – Tanzania News Gazette". Retrieved 2020-10-09.
  8. .
  9. ^ a b "About – Radiant Earth Foundation". Retrieved 2020-08-27.
  10. S2CID 213700549
    , retrieved 2020-10-26

External links