Radiant Earth Foundation: Difference between revisions
Content deleted Content added
Created new entry on Radiant Earth Foundation - this is a stub in Need of expansion. |
Added See also section |
||
| Line 7: | Line 7: | ||
{{Reflist}} |
{{Reflist}} |
||
== See also == |
|||
* {{annotated link|Earth Observation}} |
|||
* {{annotated link|Machine learning}} |
|||
* {{annotated link|Big data}} |
|||
*{{annotated link|List of datasets for machine learning research}} |
|||
== External links == |
== External links == |
||
Revision as of 15:11, 27 August 2020
Radiant Earth Foundation is a non-profit organization founded in 2016[1]. Its goal is to apply machine learning for Earth observation to meet the Sustainable Development Goals[2]. The foundation works on developing openly licensed Earth observation machine learning libraries and models through an open source hub that support missions worldwide like agriculture, conservation, and climate change[3]. Radiant Earth also works on a community of practice that develop standards around machine learning for Earth observation.
The Foundation is funded by Schmidt Futures, Bill & Melinda Gates Foundation, McGovern Foundation and the Omidyar network[4]
Notes
- ^ "Radiant Earth Annual Report 2019" (PDF). 2020.
{{cite news}}: CS1 maint: url-status (link) - ^ "Radiant Earth Foundation". www.data4sdgs.org. Retrieved 2020-08-27.
- ^ "About – Radiant Earth Foundation". Retrieved 2020-08-27.
- ^ "About – Radiant Earth Foundation". Retrieved 2020-08-27.
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