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Building Resilient Data Infrastructure
We know it’s possible to build new data infrastructure, but we urgently need to figure out how to do so sustainably and ethically. Join us at CNG Conference and at Fed Geo Day as we find ways to build the future together.
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Grant from Navigation Fund to Support Source Cooperative
We are happy to announce that Radiant Earth has received funding from The Navigation Fund to support development of Source Cooperative.
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Grant from Splunk Social Impact
We are happy to announce that Radiant Earth has received funding from Splunk Social Impact.
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The Importance of Farm Field Boundaries
An overview of our work with the Taylor Geospatial Engine to create a common way to share field boundary data at scale.
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The State of Data at SatSummit 2024
Slides and speech given at the opening plenary of SatSummit 2024.
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Cloud-Native Geo Pioneers in Earth Science: Honoring the 2024 Leading Women
In honor of International Women’s Day, we are pleased to announce the 2024 Leading Women in Earth Science - 10 women transforming how we access and work with vast geospatial datasets.
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Q&A with Mala Kumar, Our Newest Board Member
We are pleased to welcome Mala Kumar to our Board of Directors. In this Q&A profile, we talk with Mala about her career journey, joining our Board, and the intersections between technology and the narratives that shape our world.
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Unicorns, Show Ponies, and Gazelles
A few four-legged animal metaphors that explain how we’ve been building global data infrastructure to date and how we might do better in the future.
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What is Source Cooperative?
An update on development of Source Cooperative and why we’re building it.
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Open Data for Governments in Africa
A pilot project to help agencies make sense of agricultural data collection and exchange through capacity building.
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Advancing Agricultural Knowledge in the US through Crop Type Mapping
An Interview with Rahebeh Abedi, a Ph.D. student at Clark University’s School of Geography and our Summer Intern.
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STAC API 1.0.0 Released
The STAC API specification reached its 1.0.0 version. With this release, the spec is fully aligned with the OGC API - Features Version 1.0 standard.
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Exploring the Potential of GeoZarr for Storage and Analysis
An Interview with Brianna Rita Pagán, Deputy Manager at NASA Goddard Earth Sciences.
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Radiant Earth Collaborating with Columbia University to Support Climate Scientists
We have entered into an agreement with Columbia University’s Lamont-Doherty Earth Observatory to expand access to climate data.
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Radiant Earth Joins PLACE Community as Founding Member
Radiant Earth’s partnership with PLACE Community as a Founding Member strengthens their commitment to high-resolution mapping while promoting open access to urban maps in Africa and the Caribbean.
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Planet-led RapidAI4EO Consortium Releases One of the Largest Earth Observation Training Datasets for Machine Learning Applications
The RapidAI4EO training dataset is accessible to the entire remote sensing community on Source Cooperative.
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Radiant Earth Announces New Initiatives to Accelerate Sharing of Earth Science Data
Source Cooperative and the Cloud-Native Geospatial Foundation will make it easier for organizations and individuals to share and use Earth science data.
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Say Hello to Radiant Earth
Announcing some changes to the Radiant Earth brand and our plans to serve our community moving forward.
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Uncovering the Power of Cloud-Native Geospatial Solutions: An Interview with Aimee Barciauskas
We had the pleasure of interviewing Aimee Barciauskas, a Data Engineer at Development Seed. We talked about her expertise in cloud-native geospatial solutions and her thoughts on the future of managing and processing geospatial data.
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We Don't Talk About Open Data
Why the term “open data” has become unhelpful and why we focus on making more data more available to more people.
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NASA Harvest Field Boundary Detection Challenge: Announcing the Winners
We hosted a machine learning competition to develop models that can accurately detect small farm field boundaries in satellite images. Explore the top three winning solutions.
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Behind the AgriFieldNet Model
An interview with Muhamed Tuo, Data Scientist and Member of the Winning Team of the AgriFieldNet Data Challenge.
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The Naive Origins of the Cloud-optimized GeoTIFF
Reflections on the emergence of the Cloud-optimized GeoTIFF and how cloud-optimized data can help create a larger and more diverse Earth science community.
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Celebrating 15 Women Shaping the Future of Earth Science
In honor of International Women’s Day, we celebrate 15 exceptional women who are shaping the future of Earth Science by pushing boundaries, fostering inclusivity, and advancing a shared understanding of the Earth and its complex systems.
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Introducing Gina Trapani: Our Newest Board Member
We are excited to have Gina Trapani join our board, bringing a wealth of experience and expertise from her career in the technology industry. In this Q&A profile, our Executive Director, Jed Sundwall sits down with Gina to discuss her career journey, joining our Board, and her perspective on the potential of the web.
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More Data More Available to More People
The framework we use to guide our work at Radiant Earth
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Radiant Earth 2022 Annual Report
A look back on the past year at Radiant Earth and our ambitions for 2023.
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Last Issue of our Monthly ML4EO Market News
It is time to say goodbye to our monthly ML4EO news round-up. In this last issue, we invite you to explore a curated list of resources of the best sites to stay informed and give a hint of what’s next for our newslettter.
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New White Paper on Data Policies in Agriculture
We’ve published a new white paper that explores a data ethics framework to preemptively address farmers’ concerns in low- and middle-income countries. The paper is part of our work on the Enabling Crop Analytics at Scale (ECAAS) initiative of the Bill & Melinda Gates Foundation.
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Democratizing Open Machine Learning Technologies for Earth Observation
Three inventions we’re working on at Radiant Earth.
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Radiant MLHub Spotlight Q&A: Mohammad Alasawdah
Developing climate change related models and the importance of finding high-quality machine learning ready data sources.
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Exploiting Multi-Region Data Locality with Lambda@Edge
An explanation of the architecture behind the serverless tile serving service at tiles.rdnt.io.
Older blog posts are available at https://medium.com/radiant-earth-insights