Can you visualize a carbon credit?
The journey from action on the ground to completed carbon credit can be difficult to imagine…
Until now. With the help of Albo Climate, we’re going to be able to show exactly where and how our carbon credits are created.
By combining blockchain, satellites and artificial intelligence technology, our strategic partnership with Albo will make carbon credits more tangible than ever before.
To find out how this will work, read on.
A Bird’s Eye View
If we’re to have a fighting chance of halting climate change, reducing emissions isn’t enough. According to the IPCC, “Carbon dioxide removal is essential to achieve net-zero.” That means we’re going to need carbon removal projects; and lots of them.
Although several companies are developing new technologies for removing carbon from the atmosphere, for now at least, the most effective carbon removers are Mother Nature’s own: plants, and specifically trees.
That’s how we source our carbon credits, from projects around the world that either grow or protect natural habitats from destruction. The carbon stored in those forests can then be used to offset emissions elsewhere.
We’re going to need far more than are currently available in the future. But getting a project started isn’t easy. For one, you need a good way of estimating the amount of carbon stored in a given ecosystem.
The problem is that existing methods are sometimes inaccurate or can be prohibitively expensive. For both the large-scale carbon project covering thousands of acres, and the small, independent carbon farmer, this is a huge barrier to starting a carbon removal project.
If estimating carbon stores could be made more efficient, then a significant barrier to getting carbon credits onto the market would be removed, and emissions would decrease.
What if carbon projects could be easy to establish and maintain? Well now they can be. We’ve created Veriforest, a forest-based voluntary carbon credits registry to establish more inclusive voluntary carbon market.
Through our strategic partnership with Albo we can undertake rapid analysis of CO2 capture within forestland. Using Albo’s satellite and AI-powered carbon monitoring capabilities we can estimate carbon sequestration with a high degree of accuracy. Any forested area on earth can now be quickly assessed for carbon storage and credit issuance. For land stewards and carbon entrepreneurs, this platform is a true game changer.
Sensing Is Believing
Albo Climate uses satellite remote sensing combined with AI and machine learning to predict carbon quantities with accuracy comparable to on-the-ground measurements.
Satellite-mounted sensors are able to scan vegetation and pick up wavelengths not visible to the naked eye. By using machine learning and AI in conjunction with ground truth datasets, Albo can produce an in-depth profile of carbon storage over a huge area, and fast. Their analysis has applications for both small and large scale projects, as it produces data down to the 10m x 10m scale.
Carbon projects are not immune to outside influences. They can be affected by illegal logging, forest fires, or project disintegration. Albo allows us to easily track projects over time, to ensure that carbon remains stored and the credits stay valid.
The future looks exciting. For now, we’re focused on carbon stored above ground. But we are also working on estimating both carbon stored in soil and so-called ‘Blue’ carbon: Carbon stored in water bodies.