Case Study:
Biomass forecasting for next-generation carbon credits
Sector:
Carbon markets / REDD+
Wildlife Works
Scale:
Jurisdictional (continental-scale REDD+ projects)
Service pillars:
Risk Intelligence · Decision Support
WildlifeWorks is a nonprofit organization that uses market-based solutions to protect forests and wildlife by paying local communities for their conservation efforts.
The Brief:
The voluntary carbon market is under pressure to prove that credits represent real, measurable climate impact. Traditional REDD+ baseline methods - averaging historical deforestation rates across large areas - are increasingly seen as too coarse to defend under modern integrity standards.
Wildlife Works, one of the world’s leading REDD+ project developers, needed a biomass forecasting system that could predict where and how much forest carbon would be lost, at pixel-level resolution, to support EquitableEarth’s new M002 methodology.
What forestmap.ai delivered:
We designed and built an AI-driven biomass forecasting system that:
Analyses multi-year satellite imagery and historical biomass data to learn the spatial and temporal dynamics of forest loss
Produces pixel-level (~30m) risk maps predicting where biomass loss is most likely to occur in the coming year
Supports the annual baseline allocation process required by the M002 methodology
Was designed for auditability and underwent independent review by Space Intelligence
The final product was a production system that Wildlife Works can run and update continuously as new data becomes available.
“It's been a pleasure working with such a knowledgeable and efficient team of computer vision experts. I couldn't recommend forestmap.ai more highly.”
- Jeremy Freund, CTO, Wildlife Works
Ready to discuss your forest?
Reach out to find out more about how forestmap.ai can help your organization.
info@forestmap.ai
+44 (0)7986 882 740
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