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Open Conversations: Climate Data Belongs in the Commons (Diego Saez Gil)

Funding the CommonsThu, Oct 9, 2025, 12:00 AM

Every forest tells a story in data—tree height, carbon stored, biodiversity returning. When shared, this data becomes a tool for restoring nature and fighting climate change. In this Open Conversation, Diego Saez Gil, co-founder and CEO of Pachama, shares what he’s learned after six years of building technology in service of forests. Pachama uses satellite images, LiDAR scans, and AI to measure the carbon stored in trees and track how ecosystems regenerate. Diego argues that this information shouldn’t be locked away. Climate data belongs in the commons, where it can accelerate action for everyone. Nature already knows how to recover—we just need to measure it and collectively act on it. Filmed at Funding the Commons at the Internet Archive, San Francisco, March 2025. Relevant Projects: Pachama: https://pachama.com Funding the Commons: https://www.fundingthecommons.io Thank You to Our Sponsors: Protocol Labs: https://www.protocol.ai/ NEAR Foundation: https://near.foundation/ Holonym: https://holonym.io/ Octant: https://octant.app/ Drips Network: https://drips.network/ Filecoin Foundation: https://fil.org/ OpenLedger: https://www.openledger.xyz/ Orange DAO: https://www.orangedao.xyz/ Regen Network: https://www.regen.network/

Transcript

The biggest things standing on the way is we still need the majority of the global economy to realize that business cannot exist without the substrate of the biosphere. Therefore, the necessity of taking responsibility for that biosphere. I'm Diego Sai Gil, co-founder and CEO of Pachama, and we're working on the mission of helping restore nature and solve climate change. It's been six and a half years of building Pachama. We have raised almost $90 million in capital from incredible investors who are impact oriented.

Today we are capable of estimating the the height of a tree anywhere in the world using remote sensing data and the height of a tree is a good proxy for carbon content. Effectively we are able to predict how much carbon is there in a forest today. Then we use also AI to select reference regions to then track the additionality of an intervention. So if you're conserving a forest or restoring a forest, you want to see the addition of regeneration and carbon that you are producing versus a comparable area where there is an intervention. So we built an AI to do that automatically.

I've seen with my own eyes the effects of positive interventions. To give you an example, there's a series of reforestation projects that we're doing outside of Rio de Janeiro in Brazil where uh trees have been planted for the last 15 years and the rain is starting to come back and this is what you know people are observing on the region that as a result of the bigger trees, new rains and of course more biodiversity. So nature is resilient. It comes back and it heals ecosystems. We can benefit from more open data from satellite data to LAR data to ground data sitting on companies, universities.

If that data were to open, all the players that are working on processing the data and coming out with planetary insights can benefit and therefore humanity can benefit. If if I could have a wish of what data to have access, I would say airborne LAR data. There is a lot of LAR data that has been collected by airplanes flying above forest worldwide and that's what we use to train our algorithms combining satellite data with LAR airborne data which allows us to uh improve the accuracy of our predictions. I would love to have all that data in a commons not just for us but for everybody else working on the space. It's important to keep in mind that everything is cyclical.

the importance of keep working decidedly even when what you're building is out of fashion even when it seems that those in power don't care for what's important and it might feel discouraging or disempowering but I think that these are the moments in which we especially need to step up and keep working decidedly because history is long and impact of what we do today can go into long into the future [Music]

Automatic transcript — names and jargon may be misspelled.