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".