This webinar provides an overview of the new award opportunity, details about the nomination process, and answers participant questions. The Radiant MLHub Impact Award is a new annual prize organized by Radiant Earth Foundation. This $5,000 award is open to any individual or team building agricultural-related applications for Africa using geospatial training data found on Radiant MLHub.

We announced the Radiant Earth Spot the Crop Data Challenge winners to predict crop types in Western Cape, South Africa using satellite image time-series. We sat down with Raphael Kiminya, the winner of the track that used Sentinel-2 multispectral data as input to his model, and MG Ferreira and Tien-Dung LE that used both Sentinel-2 and Sentinel-1 (radar) data as input. Read how they've approached the challenge and watch the webinar recording where they dive deeper into their winning solutions.

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

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