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Featured Event

A Training of Trainers Bootcamp on Machine Learning for Earth Observations

This training of trainers bootcamp will cover topics related to use of machine learning techniques on Earth observations. Participants are required to attend all training sessions and work on assignments during the bootcamp. There will be a total of 5 days of training sessions within the two week period. Each participant is then expected to train five other individuals within four months after the bootcamp and report that back to the organizing team. The follow up training is a requirement to receive your certificate of participation in the bootcamp.
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Featured Event

Tropical Cyclone Wind Estimation Data Competition

An accurate and timely diagnostic model for tropical cyclone intensity can save lives and property. Join this global competition to predict tropical cyclone wind speed in near-real-time for a chance to win up to $13,000 in cash + $18,000 in Azure credits.  This competition ended on Feb. 2, 2021
View results

Featured Event

Create the right training data with GroundWork and Radiant MLHub

Webinar | September 1 | 9 AM EDT

Speakers Joe Morrison, Azavea's GroundWork product specialist, and Hamed Alemohammad, Radiant Earth Foundation's chief data scientist, will talk about how to generate your training data using GroundWork and export and discover it in Radiant MLHub.
Watch the recording

Featured Event

Radiant Earth NASA ML Workshop

Radiant Earth Foundation hosted an international expert workshop to discuss how best to use machine learning techniques on NASA’s Earth Observation data and address environmental challenges. This workshop was sponsored by the NASA Earth Science Data Systems (ESDS). 

  • Read the Workshop Report (PDF) to learn about the challenges, potential solutions, and best practices for using EO data in ML workflows identified by expert participants 
  • Watch the recorded expert presentations
NASA ML4EO Workshop

Featured Event

A Guide for Collecting and Sharing Ground Reference Data

In this online meeting, the proposed FIVE best practice criteria that make ground reference data ready for Earth observation machine learning models are discussed. Co-hosted by Radiant Earth and CGIAR, the meeting took place on Tuesday, April 21 at 10:00 AM ET.  You can read Radiant Earth's short write up on the proposed criteria, or click below to watch the recording of the discussions.
Watch the recording

Funders

Omidyar Network GIZ Bill & Melinda Gates Foundation McGovern Foundation NASA Schmidt Futures

Contact

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Washington, DC 20005
hello@radiant.earth
+1.202.596.3603

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Founded in 2016, Radiant Earth Foundation is a 501(c)(3) charitable organization
with offices in Washington DC, and San Francisco, CA.
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