Precision forest inventory,
down to the individual tree

Know exactly what species are in your forest. Get tree-level data across your entire forest — crown by crown, species by species. Using our proprietary deep learning tool detectree2, we transform aerial and drone imagery into inventory-grade maps without the time or cost of a full ground survey.

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Our Research

Accurate species inventory is the foundation of credible carbon accounting and conservation decisions.

Carbon stock estimates, biodiversity claims, and conservation budgets are too often built on sparse ground plots extrapolated across an entire concession. That gap is easy to overlook until a registry, investor, or auditor asks for evidence at the level of an individual tree or species, not a regional average.

Precision inventory closes that gap. Knowing exactly what's standing — every crown, every species — is the foundation for credible carbon accounting, defensible biodiversity claims, and conservation decisions that target the areas that actually need it.

How it works:

We combine high-resolution UAV imagery, hyperspectral data, and deep learning to map forests at the level of the individual tree — not the plot, not the hectare.

Species-level classification

Outputs that ground your claims

Change detection over time

We classify tree species from RGB, multispectral, and hyperspectral imagery, reaching up to 75% species accuracy in complex tropical forests - the compositional detail that turns generic forest metrics into ecological intelligence.

Individual tree crown delineation

We detect and outline single tree crowns from aerial, drone, and satellite imagery using detectree2, our open-source Mask R-CNN system - achieving up to 74% delineation accuracy for the tallest trees, which means reliable canopy-level inventory across your site.

Species composition maps, crown-dimension data, and canopy-structure assessments - formatted to support carbon MRV, biodiversity credits, and EUDR documentation.

Multi-temporal stacking lets us track growth, mortality, and health shifts tree by tree, improving accuracy by around 9% over single-date analysis and surfacing changes traditional methods miss.

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Spicy Forest Stats

Explore interactive visualizations that uncover insights, reveal trends, and help guide smart decisions. Our charts and graphs turn numbers into narratives—helping you understand and explore key information at a glance.

Back carbon stock estimates with tree-level data, not plot-based extrapolation.
Show species-level evidence for habitat protection and funding cases.
Verify what's actually standing before pricing or underwriting the asset.

Built for the people safeguarding forest inventory.

Case Study

‍Biomass forecasting for next-generation carbon credits

We built and deployed an AI-driven biomass forecasting system that produces pixel level (~30m) risk maps for Wildlife Works, one of the world's leading REDD+ project developers.

The forecasting system now underpins EquitableEarth's M002 Terrestrial Forest Conservation Methodology worldwide, which entered public consultation in 2025 and is being adopted by REDD+ projects.

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Case Studies