AI for peatland restoration

Machine Learning accelerates nature restoration

Advanced AI for peatland mapping and digital MRV, developed in partnership with Caledonian Climate Partners

Results that drive change

reduction in manual mapping effort
more frequent carbon verification cycles
UK government grants secured

The Challenge

Peatland erosion accounts for approximately 3.5% of the UK's total carbon emissions—a significant yet often overlooked contributor to the climate crisis. Restoring these vital ecosystems requires detailed mapping of erosion features and comprehensive restoration planning, work traditionally carried out through manual expert assessments.

This approach is costly, time-consuming, and prone to inconsistency. Projects frequently begin without complete erosion data, leading to inaccurate cost projections and inadequate monitoring. Similar challenges exist across woodland and other nature capital domains, creating uncertainty in carbon credit verification and limiting the scale at which restoration can be delivered.

Our Approach

We developed custom deep neural networks leveraging modern transformer architectures to accurately map peatland erosion from 3D depth maps, aerial imagery, and drone captures. The system combines semantic segmentation with multiple input backbones, custom loss functions, and patch cross-attention mechanisms—dramatically accelerating the mapping process while improving accuracy and consistency.

Supported by a £250,000 Innovate UK grant awarded jointly with Caledonian Climate Partners, we extended the platform to include AI-driven restoration planning. This enables accurate upfront cost estimation directly from erosion maps, allowing project developers to plan and budget with confidence before work begins.

A subsequent UK Space Agency grant expanded these capabilities to forestry, developing digital MRV solutions for Woodland Carbon Code projects across the UK. This demonstrated the broader applicability of our approach beyond peatlands to nature capital as a whole.

The Outcome

This work culminated in the launch of Calterra—a joint venture between New Gradient and Caledonian Climate Partners. Calterra is a comprehensive digital monitoring, reporting, and verification platform serving peatlands, woodlands, and broader nature capital projects.

The platform equips developers with integrated tools for restoration acceleration: automated erosion mapping, AI-powered restoration planning, continuous carbon tracking, and end-to-end project management. By replacing manual processes with intelligent automation, our approach enables annual verification cycles rather than the traditional 5–10 year intervals.

This increased frequency delivers greater confidence to investors and landowners, providing ongoing visibility into restoration progress and carbon outcomes. Calterra is seeing strong early traction, with the ambition to become the standard platform for nature capital projects in the UK and beyond.

"New Gradient's AI erosion mapping technology is a step above anything the industry has seen before and has the potential to significantly change the way the industry undertakes MRV"

Freddie IngelbyManaging Director, Caledonian Climate Partners