Radiant Earth Foundation today announced the availability of Microsoft AI for Earth’s Chesapeake Bay Land Cover and SpaceNet’s Roads and Buildings training datasets through Radiant MLHub, an open digital training data repository that debuted earlier this week with “crop type” labels for major crops in Kenya, Tanzania, and Uganda.

Designed to encourage widespread data collaboration, Radiant MLHub allows anyone to access, store, register and/or share open training datasets for high-quality Earth observations.

WASHINGTON, Dec. 09, 2019 (GLOBE NEWSWIRE) — To make geospatial information more accessible to data scientists who are working on global priorities like food insecurity, Radiant Earth Foundation has launched Radiant MLHub, the world’s first cloud-based open library dedicated to Earth observation training data for use with machine learning algorithms, it announced today.

Journalist Mark Corcoran publishes a paper on the growth of satellite imagery in journalism. In the paper, he “examines media case studies, the two dominant US providers of commercial satellite imagery to media and raises questions on the applications and limitations of new satellite journalism. What is the potential of satellite newsgathering for journalists? How can journalists independently authenticate images provided by a third party? What are the censorship issues? What technical proficiency is required to interpret images? In an age when anyone with a credit card and internet access can already download archived satellite imagery, what are the security issues and responsibilities of journalists? And gazing into the not so distant future, what might satellite journalism look like 5 to 10 years from now?”

Download the paper below.

I am pleased to present Radiant Earth Foundation’s 2018 Annual Report, documenting our journey connecting the global development community to Earth imagery and tools, as well as supporting the advancement of a vibrant cohort of spatial data users worldwide.

2018 proved to be another exciting year for Radiant Earth Foundation, in particular with the launch of our open source satellite imagery platform. The platform marked a key milestone of our original commitment to provide license-free data and tools to people around the world.

As a neutral entity, Radiant Earth Foundation enjoys the unique opportunity to work with diverse partners worldwide and recognizes the important role it plays in engaging and facilitating people, as well as organizations, to work together for the benefit of the development community.

That’s why in December we convened machine learning and remote sensing experts from around the world for an evening of networking and sharing of ideas in Washington. D.C., on the heels of the 2018 American Geophysical Union’s Fall Meeting. Sponsored by Omidyar Network, the community-building event included more than 80 academic, government, business, and non-profit representatives.

The Radiant Earth Foundation had the privilege of participating in the 2018 International Meeting on Emerging Diseases (IMED), a biennial conference hosted by the International Society for Infectious Diseases, November 9–12th in Vienna, Austria.

Join Yonah Bromberg Gaber, Platform Developer Community Associate, and Anna Mae Green, Community Engagement Associate at Radiant Earth Foundation to learn how to use satellite imagery in the real world. This webinar, targeted at users without experience with remote sensing, will demonstrate how to find the right imagery for your needs that you can select from the available image library, as well as adding your own imagery. All users, new and novice, are welcome. The webinar will be followed by a Q&A session.