VT0014 fits any project that requires SOC quantification — including VM0042 and VM0032 — and works with Quantification Approaches 1 and 2.
VT0014 outlines how digital soil mapping models like ATLAS-SOC must be calibrated, validated, and applied across baselines, remeasurements, and vintages — with clear guidance for stratification and uncertainty modeling in line with IPCC Tier 3.
VT0014 guides users on using digital soil mapping together with other models like biogeochemical simulations to fit any project’s needs.
VT0014 reduces sampling demands while maintaining low uncertainty — unlocking robust quantification in underserved or data-limited regions, supporting broader participation, and helping maximize carbon credit issuance.
VT0014 includes mechanisms for validating against new data over time, managing version control, and maintaining continuity across project updates, staying up-to-date with the latest science.
VT0014 can be used in any Verra ALM project that requires soil organic carbon quantification, including projects under VM0042 and VM0032. Though Verra’s Scope 3 Standard has not yet been released, we anticipate it will support the use of this tool. For VM0042, VT0014 is compatible with Quantification Approaches 1 and 2.
The tool enables the use of digital soil mapping, which fills in the gaps between a small number of local soil samples using environmental data and machine learning. The result is a dense set of SOC predictions across your full project area, with pixel-level uncertainty modeling.
Yes. Because the tool defines how digital soil mapping can be adapted to local conditions, it can be applied globally — across different climates, soil types, land uses, and crops. This makes it suitable for projects in both data-rich and underserved regions.
The tool was developed through a four-year process involving more than 30 independent experts, multiple rounds of review, and public consultation. It requires model validation and rigorous assessment of uncertainty.
Digital soil mapping can be used anywhere physical soil samples would be used. It can be used to create a point-in-time map of SOC stocks, and to track how those SOC stocks are changing over time. Digital soil mapping can serve as an input to a process-based biogeochemical model, and also as a standalone measurement.
No. The tool is model-agnostic — it doesn’t prescribe a single digital soil mapping model or require specific input datasets. Instead, it allows any model to be used, as long as it meets performance requirements through outcome-based validation. Perennial uses its proprietary ATLAS-SOC model, which is peer-reviewed, third-party validated, and has now integrated over 350K soil samples.
Outcome-based validation means each project must prove model accuracy using measured soil samples from within the project area. Rather than assuming a model is valid everywhere it’s been peer-reviewed or pre-approved, this approach ensures that carbon estimates reflect the actual conditions of each site.
It’s a more flexible and robust path to quantification — placing scientific accountability on local results, not model pedigree.
Yes. The tool’s outputs — point-in-time estimates of SOC stock — can be used to initialize biogeochemical models (E.g. for VM0032 or under Quantification Approach 1 in VM0042). This does not change VM0042's structure, but offers an alternative source of SOC input data to physical sampling or spectroscopy.