New breakthroughs in artificial intelligence and foundation models will transform the way we understand and protect our planet. 

Join this webinar to hear from experts from Meta, Land & Carbon Lab, and World Resources Institute as we discuss a new path towards open-source AI driven earth monitoring and present the world’s first global 1m resolution remote sensing data set, showing the canopy height of individual trees across the globe.

The data, developed using a groundbreaking new foundation AI model, will provide valuable information for measuring land use emissions and tracking progress on conservation and restoration projects, which are essential for achieving the world’s goals for climate, nature and people.

Both the data and the underlying foundation model are completely free and publicly available, democratizing access to AI technology. In this webinar you’ll learn how you can use the data in your work, and how the foundation model can be adapted to perform other geospatial monitoring tasks like boundary identification, tree counting and disaster response mapping.

We’ll also be joined by experts from the Bezos Earth Fund as they explain why they’re investing in AI for nature and climate, and experts from WRI’s global restoration initiative who will discuss how this new technology will help local communities leading restoration efforts across the globe.

Plus, get all your questions answered in an interactive panel discussion.

This webinar will be held in English, with live interpretation into English, French, Spanish, Portuguese.

By registering for the webinar you agree to subscribe and receive updates from WRI and Land & Carbon Lab.


  • Moderator: Craig Mills, Director, Land & Carbon Lab
  • Jamie Tolan, Research Scientist, Meta
  • John Brandt, Senior Data Science Associate, Land & Carbon Lab and Global Restoration Initiative, World Resources Institute 
  • Amen Ra Mashariki, Director of AI and Data Strategies, Bezos Earth Fund 
  • Dow Martin, Senior Manager, Global Restoration Initiative, World Resources Institute