Happy International Women’s Day! As we work to create a more inclusive and diverse Earth Science community, today is an important day to recognize exceptional women who are pushing the boundaries of their fields and shaping the future of Earth science. Nominated by their peers, these women have made significant…

We are excited to have Gina Trapani join the Radiant Earth Foundation board of directors, bringing a wealth of experience and expertise from her career in the technology industry. Gina is currently the CEO at Postlight, a leading digital strategy and software engineering firm in New York City. She is…

By Jed Sundwall, Executive Director of Radiant Earth Foundation The following is an excerpt from the Radiant Earth Foundation 2022 Annual Report. As we enter the Year of Open Science, we’re giving some extra thought to what “open” means and why it matters. When Tim Berners-Lee first proposed “the WorldWideWeb…

We are excited to announce the release of the Radiant Earth Foundation 2022 Annual Report, a comprehensive overview of our achievements and plans for the future. Our team’s hard work and dedication over the past year have led to significant progress and impacts, including: The creation of LandCoverNet, the first…

It is time to say goodbye to our monthly industry round-up newsletter, the ML4EO Market News. We’ve covered a lot of ground over the last five years. Since our first newsletter in February 2018, we have surveyed our community to find the most impactful and useful insights about the state…

The white paper explores a data ethics framework to preemptively address farmers’ concerns in low- and middle-income countries. — Radiant Earth Foundation, a nonprofit technology company supporting open machine learning technologies for Earth science, today released a white paper exploring a data ethics framework for farmers to achieve data ownership. Emerging technologies, such as those combining artificial intelligence and Earth observation satellite data, are essential to “smart farming” innovations…

Developing climate change related models and the importance of finding high-quality machine learning ready data sources — Meet Mohammad Alasawdah, our Community Voice for the last quarter of 2022. Mohammad is an Earth observation and climate data science researcher at Eurac Research, focusing on issues that affect people, their health, and the environment around them. The organization aims to improve life in the societies of the future.

By Nathan Zimmerman, Software Engineer at Azavea Franklin is an Azavea server that imports and serves STAC catalogs, storing data in Postgres. It allows users to import and query STAC catalogs as simply as possible; “​​from Static Data to a Dynamic API in Minutes.” …

Discover data usage scenarios for open machine learning ready Earth observation repositories like Radiant MLHub. — In about one month, we will launch the inclusive innovation 2030 (ii2030) process, where key stakeholders will assemble to turn a systemic challenge into an opportunity for all of us. We will attempt to answer a critical question: “How might we ensure open access to high-quality machine learning (ML) ready…