Sylithe Baseline Confidence

Baselines rooted in reality, not assumptions.

Our Dynamic Baseline Accounting proves your reforestation project is truly additional by comparing it to matched real-world controls that aren't part of any carbon program.

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Dynamic Baseline

The challenge with current baselines

Carbon markets currently suffer from inflated credit issuance because static projections often assume zero background reforestation—even when trees would have grown anyway.

Phantom Credits Risk

Phantom Credits Risk

Static projections create non-additional credits that damage market integrity and expose buyers to greenwashing accusations.

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Regulatory Exposure

Regulatory Exposure

Emerging IC-VCM standards and buyer due diligence are increasingly rejecting projects with weak, assumption-based baselines.

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Observe the counterfactual. Count only the difference.

Instead of guessing what would have happened to your land, we find actual land that matches yours—same soil, same climate, same starting conditions.

The difference between your forest growth and the control's growth? That's your real, additional climate impact.

ARR REDD+ Control Matching Analysis for Carbon Additionality India
The Process

From matching to verification.

01

Match

We algorithmically match your project to statistically similar non-project lands based on historical canopy height.

02

Monitor

We track both your project and the control area annually using canopy height models.

03

Compare

We calculate the difference in carbon accumulation between project and control.

04

Credit

You earn credits only for additional carbon removed above the dynamic baseline.

Process
Why Dynamic Baselines

Static guesses can't capture reality. Observation can.

Empirically Tested

Validate matching using 'pseudo-projects'—random non-project areas where we prove the method works.

Annually Updated

Captures changing commodity prices, policy shifts, and climate events that static projections miss.

Standards Aligned

Compliant with VM0047 for Afforestation & Reforestation. Recognized by IC-VCM.

The science of statistical matching.

DCAB relies on the principle of causal inference: if two plots of land are statistically identical at the start, their divergence can be attributed to the intervention.

Our methodology employs k-Nearest Neighbor matching on canopy height trajectories.

<1m
Target Uncertainty
95%
Confidence Intervals
Methodology
Our Philosophy

Integrity through observation.

Sylithe is built on the belief that carbon markets deserve measurement systems as rigorous as financial auditing.

By treating additionality as an empirical question, we restore confidence in nature-based carbon removal.

FAQs

What is Dynamic Baseline Accounting in carbon markets?
Dynamic Baseline Accounting is an advanced methodology used to measure the true 'additionality' of a carbon project. Instead of relying on static historical data, it continuously compares the project area against similar, unmanaged 'control' areas to determine real-world deforestation pressures.
How does dynamic baselining improve carbon credit integrity?
Static historical baselines often overestimate carbon savings. Sylithe’s Dynamic Baseline Accounting continuously adjusts to real-world threats, ensuring that every carbon credit verified on our platform represents genuine, additional climate impact.
Is Dynamic Baseline Accounting required for Verra VM0047?
Yes, modern methodologies like Verra's consolidated REDD+ methodology (VM0047) increasingly mandate dynamic baselines and control areas to prevent over-crediting. Sylithe automates this complex spatial analysis.
How does Sylithe calculate dynamic baselines using satellites?
Sylithe uses continuous satellite intelligence to automatically monitor matched 'control areas' outside of your project boundary. If deforestation accelerates in the control area, the dynamic baseline adjusts automatically, providing an audit-ready additionality report.
What is the difference between a static baseline and a dynamic baseline?
A static baseline locks in deforestation predictions based on 10-year-old historical data. A dynamic baseline continuously updates based on what is actually happening in the surrounding region today, providing scientifically rigorous proof of impact.
How does Dynamic Baseline Accounting prevent carbon credit reversals?
By continuously tracking regional threat levels, dynamic baselines help project developers understand shifting deforestation fronts. This allows for proactive intervention before a reversal occurs, protecting the project's carbon buffer pool.

Eliminate baseline risk from
your portfolio.

Get a dynamic baseline analysis for your ARR project and issue credits with confidence.

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