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Radiant Earth Insights
Helping the global development community navigate the Machine Learning and Earth observation marketplace and innovations taking place.
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A Belated Introduction to stactools
A Belated Introduction to stactools
One year after the release of a library is a fine time to announce it! Right? Sharing all about stactools with the world…
Chris Holmes
Dec 6
Discoverable and Reusable ML Workflows for Earth Observation (Part 2)
Discoverable and Reusable ML Workflows for Earth Observation (Part 2)
Describing ML Models with the Geospatial Machine Learning Model Catalog (GMLMC)
Radiant Earth Foundation
Oct 5
Radiant Earth Foundation at AGU 2021
Radiant Earth Foundation at AGU 2021
On December 13–17, Radiant Earth’s team will present their latest research and milestones at the American Geophysical Union (AGU) Fall…
Radiant Earth Foundation
Dec 3
Latest stories
Radiant Earth Foundation and RCMRD to Develop Joint Capacity Building Program focused on Machine…
Radiant Earth Foundation and RCMRD to Develop Joint Capacity Building Program focused on Machine…
Radiant Earth and the Regional Centre for Mapping of Resources for Development (RCMRD) partnership aims to strengthen local geospatial and…
Radiant Earth Foundation
Nov 8
STAC Updates: Fall 2021
STAC Updates: Fall 2021
New funding for STAC announced, along with a number of updates from the broader ecosystem.
Chris Holmes
Oct 27
Radiant MLHub Spotlight Q&A: Gedeon Muhawenayo
Radiant MLHub Spotlight Q&A: Gedeon Muhawenayo
Building machine learning models with open training data for precision agriculture and flood detection in Rwanda.
Radiant Earth Foundation
Oct 5
2021 Machine Learning for Earth Observation Market Map Release
2021 Machine Learning for Earth Observation Market Map Release
Now featuring 250+ organizations that focus on machine learning applications with satellite data
Radiant Earth Foundation
Oct 5
Help make STAC Better: Open Requests for Proposals
Help make STAC Better: Open Requests for Proposals
A call for two new RFP’s for SpatialTemporal Asset Catalogs: a new website and enhanced validation tooling.
Chris Holmes
Aug 4
STAC 1.0.0: What’s next for the STAC Ecosystem?
STAC 1.0.0: What’s next for the STAC Ecosystem?
The final installment of the SpatioTemporal Asset Catalog 1.0.0 series, this post dives into the future of STAC and its broader community.
Chris Holmes
Jul 26
Radiant Earth Foundation Joins the Locus Charter
Radiant Earth Foundation Joins the Locus Charter
The Locus Charter promotes responsible practice in the use of location data across all sectors.
Radiant Earth Foundation
Jul 21
Announcing Radiant Earth’s Online Course on Machine Learning for Earth Observation
Announcing Radiant Earth’s Online Course on Machine Learning for Earth Observation
Designed to strengthen practitioners’ local capacity and skills in support of creating impactful machine learning applications
Radiant Earth Foundation
Jul 13
Radiant MLHub Spotlight Q&A: Macroecology and Society Lab
Radiant MLHub Spotlight Q&A: Macroecology and Society Lab
Building application-ready tools and data for policymakers, resource managers, and other scientists to understand global dynamics in…
Radiant Earth Foundation
Jul 12
Discoverable and Reusable ML Workflows for Earth Observation (Part 1)
Discoverable and Reusable ML Workflows for Earth Observation (Part 1)
Using STAC to catalog machine learning training data.
Radiant Earth Foundation
Jul 12
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