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The Epoch Evaluation Platform™

Anew is setting a new standard with our industry-defining, technology-enabled approach to nature-based solutions—delivering the most advanced quality assurance and credit generation on the market.

A breakthrough from Anew Climate

Anew’s proprietary Epoch Evaluation Platform™ combines high-frequency satellite monitoring, machine learning, and ground-level data collection to enable ongoing, location-specific tracking and validation of forest carbon baselines. With Epoch, Anew can deliver previously unachievable levels of accuracy and substantiation in carbon credit quantification from sustainable forest management.

Epoch-evaluated projects benefit from rigorous assurances for additionality and baseline efficacy, exceeding all industry and registry data monitoring and reporting standards to provide the highest level of integrity for projects and credits.

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Verified impact & integrity

Ensuring the development of projects that have measurable near- and long-term benefits for surrounding communities and global society.

Additional

The carbon benefits only exist because of the project and its ability to substantiate additionality at the highest level.

Quantifiable

Emission reductions or removals are measured using transparent, science-based methodologies for consistent results.

Durable

Carbon is captured from concentrated sources and stored to minimize emissions and ensure long-term climate benefits.

Verifiable

Results are independently audited by third parties to confirm accuracy with reporting and credibility standards.

Registered

Each project is formally listed on an industry recognized carbon registry for public transparency and accountability.

Dynamic evaluation criteria

Project baselines—the backbone of credit eligibility. Learn more about key criteria related to forest management in and around each project, where we ensure accurate assessment of activities across the local forest landscape.

Common practice of silviculture

Anew utilizes our proprietary Epoch Evaluation Platform™ to compare each project property to forest management practices occurring on similar sites within its relevant region for timber extraction, transportation, and processing. This involves a review of literature, interviews with local forestry professionals, and satellite substantiation of recent harvests based on cutting-edge machine learning technology and high-resolution imagery, capable of identifying harvest activity at the scale of single trees (.5-meter resolution).

Regional timber market capacity

Anew limits baseline harvest scenarios to strictly reflect tree species and size classes for which there is wood product demand within the feasible economic region for timber extraction, transportation, and processing. The relevant region is delineated based on each project’s proximity to facilities such as operational mills, ports, and rail yards.

Harvest operability and access

Anew limits baseline harvesting scenarios to forest stands that are accessible. While always initially assessed, under the dynamic evaluation approach this review of factors such as road accessibility, infrastructure degradation or improvements, and changes to land ownership is done at every project verification.

Ongoing profitability analysis

All baseline harvest scenarios must be financially advantageous. Credits are only generated in association with baseline harvests that would be feasible after accounting for factors such as current timber market conditions, stumpage prices, road building expenses, and maintenance and fuel costs for extraction and transportation equipment.

Nature, now quantified

Remote sensing

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Digital monitoring, reporting & verification

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High-frequency satellite monitoring

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Machine learning & data-driven modeling

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Ground-level data collection

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Remote sensing

By applying the same advanced technologies used to identify forest types—augmented with additional remote sensing data—we’re able to detect and analyze regional harvesting activity to deliver accurate, science-based benchmarks on project conditions.

Digital monitoring, reporting & verification

Monthly monitoring detects forest loss from fire, storm damage, disease, or harvest events, enhancing on-the-ground presence with a digital layer that ensures immediate detection, reporting, and response for unanticipated carbon stock losses.

High-frequency satellite monitoring

Forest types present across the project area and reference region are classified using a combination of proprietary carbon plot data, U.S. Forest Service data, high-resolution satellite imagery, and advanced machine learning models.

Machine learning & data-driven modeling

High-resolution imagery and the latest machine learning advancements achieve the highest level of accuracy in the assessment of biomass change and harvesting activities across the global forest landscape.

Ground-level data collection

We know how trees grow in every relevant ecoregion. Our team has closely monitored 120+ nature-based projects from inception, with over 1 million individual trees hand-measured and forest inventory data used for government and academic research.

Additionality evaluation for real world conditions

The Epoch Evaluation Platform™ conducts comprehensive analyses of economic, regulatory, and environmental conditions during every project reporting period to determine ongoing climate benefits. Below are representative scenarios of what could shift a project’s baseline:

  1. Infrastructure damage caused by extreme weather prevents harvest access.
  2. Pulpwood price fluctuations reduce stand value during the reporting period.
  3. Closure of an area mill disqualifies acres for baseline harvest, affecting crediting.
DYNAMIC BASELINES: A NEW STANDARD

Explore the science and standards powering the Epoch Evaluation Platform™

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