Skip to main content
All CollectionsUsing the Platform
Guide to ARR Projects Assessment and Monitoring
Guide to ARR Projects Assessment and Monitoring

Discover how the Orbify Platform’s monitoring and assessment template supports existing Afforestation, Reforestation, and Revegetation (ARR) projects.

Michał Wieczorek avatar
Written by Michał Wieczorek
Updated over a year ago

The template for Existing ARR Projects is specifically designed for carbon projects that have been active for more than five years. It evaluates their impact and compliance with the Verified Carbon Standard (VCS) VM0047 methodology.

Template Structure

  1. Project Overview

  2. Site Assessment

  3. Indigenous and Protected Areas

  4. Common Practice

  5. Baseline

  6. Non-Permanence Risk

1. Project overview

Description

This section provides a summary of the project, including:

  • Location

  • Ecoregion

  • Total project area

  • Continuous forest area

Note: Projects with less than 1 hectare of contiguous forest may not be suitable for the "area-based" VM0047 methodology. This overview supports better planning and compliance by delivering a concise understanding of the project’s scope and suitability.

Project area

The total project area is calculated using a digital elevation model (DEM). This method accounts for terrain slopes to provide an accurate representation of real-world conditions, ensuring precise area calculations critical for reporting and assessments.

Land use categories

Using high-resolution Sentinel-2 imagery, this component visualizes land use distribution through a pie chart. It provides:

  • A clear breakdown of land use types

  • Insights into current land cover for informed project decision-making

2. Site Assessment

Site Conditions

Provides the percentage breakdown of soil texture classes according to USDA classification. This insight aids in:

  • Selecting suitable species for afforestation

  • Ensuring project success

Soil Texture Class

Provides the percentage breakdown of soil texture classes according to USDA classification. This insight aids in:

  • Selecting suitable species for afforestation

  • Ensuring project success

Plantation Risk

Assesses the likelihood of prior forest cover within the past 10 years.

  • Low Risk: Minimal or no forest cover.

  • High Risk: Significant prior forest cover, which may affect project eligibility.

This component ensures compliance with VM0047 methodology by evaluating historical land use.

3. Indigenous and Protected Areas

This component identifies overlaps with protected areas or indigenous territories within or near the project area. Using multiple datasets, it flags regions requiring additional compliance steps to adhere to local laws and regulations.

4. Common Practice

Regional Afforestation Practices

Evaluates local afforestation, reforestation, and regeneration activities to determine whether project activities are additional or align with typical practices. This tool also:

  • Identifies regions with high afforestation projects

  • Highlights replanted areas compared to global statistics

Registered Carbon Projects Nearby

Identifies registered carbon projects within a buffer zone of the project area. This feature:

  • Mitigates risks of overlapping boundaries and double-counting

  • Provides insights into the quality of nearby carbon projects

5. Baseline

Dynamic Baseline Methodology

Approximates the VM0047 dynamic baseline by:

  • Selecting project and control plots

  • Mapping vegetation indices (e.g., EVI) from 10 years before project start to the present

Project Assessment Chart

Visualizes project performance over time by comparing sampled points within the project area to control points in the surrounding region. It assesses historical vegetation changes and provides:

  • Ex-ante estimates of the performance benchmark

  • Clear progress tracking against control plots

This visualisation enables users to track project progress effectively, offering a clear comparison with control plots to evaluate performance and impact.

Notably, the chart includes an estimate of the performance benchmark, based on the historical matching period (t-10 to t0).

Performance Benchmark

This tool estimates the project’s additionality by comparing the performance of project and control plots. It calculates a performance benchmark following the VM0047 methodology, using data from project points, control points, and trend lines after the project start date.

The benchmark provides insights into additionality, with values ranging from highly additional (0) to not additional (1). Lower benchmarks indicate significant differences between project activities and the surrounding region, while higher benchmarks suggest less distinction or alignment with local vegetation changes. A value of 1 indicates no additionality, showing no notable difference between project activities and local trends.

This assessment is vital for determining the project’s effectiveness and the distinctiveness of its activities. Projects with non-zero performance benchmarks may require further evaluation to ensure their activities are genuinely additional and impactful.

Details

  • Very Low, 0: The project is highly additional, meaning project activities significantly differ from surrounding activities.

  • Low, 0 - 0.3: The project is additional, with activities notably distinct from the surrounding region.

  • Medium, 0.3 - 0.5: The project is additional, but the performance benchmark suggests the difference might be less significant.

  • High, 0.5 - 0.8: The project may not be additional, with surrounding afforestation/reforestation activities possibly influencing the results.

  • PB = 1: The project is not additional, indicating no significant difference between project activities and local vegetation changes.

6. Non-Permanence Risk

Non permanence describes the risk a project fail and carbon will be re-released due to natural hazards like floods, fires, and droughts. These risk assessment components try to identify if there any major sources of risk which might threaten the projects ability to store sequestered carbon.

This insight provides users with a comprehensive understanding of which natural event has historically influenced the plot, allowing for informed decision-making to enhance project resilience against natural hazards in the future.

Types of Natural Hazards:

  • Floods: can damage carbon-storing ecosystems.

  • Fires: can quickly release carbon back to the atmosphere.

  • Droughts: can reduce carbon sequestration capacity.

Risk categorisation:

  • Minor: the sum risk from all fire, floods, droughts risk analysis is low.

  • Major: at least one component from the risk assessment has a medium risk.

  • Devastating: an area is only considered at devastating risk if it faces severe threats from at least two out of the three hazards.

Risk area percentage:

The percentage of the project area at risk of experiencing a category level of impact from the identified hazard.

For example, "70% of the project area is at Major risk of losing carbon stocks due to floods."


By leveraging this structured assessment and monitoring approach, the Orbify Platform empowers users to evaluate their ARR projects effectively, ensuring compliance, additionality, and resilience against risks.

Did this answer your question?