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Soil Organic Carbon Estimation in Regenerative Cropping & Managed Grassland Ecosystems

Target Registration Date: April 30, 2023

Overview

Developer: ecometric
Sectoral Scope: Carbon Removal
Abstract:
This methodology protocol proposes the use of remotely sensed multispectral imagery and soil sample results to train an Artificial Neural Network (ANN) to monitor changes in Soil Organic Carbon (SOC) stocks, within a project area, through time. The project area will be defined in the credit class document. The SOC change will be reported as CO2 equivalent. SOC is crucial to soil health, fertility and ecosystem services including food production, making its preservation and restoration essential. This methodology will concentrate on the assessment of SOC sequestration as a major soil health characteristic, consisting of:
  1. 1.
    SOC stocks.
  2. 2.
    CO2 equivalents (CO2e)
Soil contains approximately 2344 Gt of organic carbon globally and is the largest terrestrial pool of organic carbon (Stockmann et al., 2013). Small changes in the soil organic carbon stock could result in significant impacts on the atmospheric carbon concentration. By monitoring the carbon levels in the soil, farmers and landowners will be able to measure the impact of their stewardship.
Ecometric Methodology Proposal Doc ID 0044_Final_Post-External Peer Review.pdf
560KB
PDF
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Document History

Initial Submission
Internal Review Round 1
Internal Review Round 2
Expert Peer Review

Initial Submission

Methodology Proposal for Soil Organic Carbon Estimation in Regenerative Cropping and Managed Grasslands Ecosystems
Ecometric Methodology Proposal Doc ID 0038 Pre-Internal Review Original.pdf
548KB
PDF
Submission Date: July 3, 2022

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Regen Registry Internal Review

Reviewers: Gisel Booman, Ned Horning
Date: August 1, 2022
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Review Documents

Internal Review Feedback
Ecometric_Methodology Internal Review Feedback_Round 1.pdf
110KB
PDF
Internal Review Revision Report
Ecometric_Internal Review_R1_Comment Revision Report_PC Copy.pdf
191KB
PDF
Approval Date: August 1, 2022
Post Internal Review Markup
Ecometric Methodology Proposal Doc ID 0041 Post Internal Review Round 1 Markup Response.pdf
459KB
PDF

Regen Registry Internal Review

Reviewers: Gisel Booman, Ned Horning
Date: August 29, 2022
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Review Documents

Round 2 Version for Review
Ecometric Methodology Proposal Doc ID 0041 Post-Internal Review Round 1_Start of Round 2.pdf
401KB
PDF
Internal Review Feedback
Ecometric - Methodology Internal Review Feedback - Round 2_PC Copy.pdf
111KB
PDF
Internal Review Revision Report
Ecometric_Internal Review_R2_Comment Revision Report_PC Copy.pdf
99KB
PDF
Additional Comments from Internal Review Process
Additional Comments from Ecometric Internal Review.pdf
76KB
PDF
Round 2 Final Version
Ecometric Methodology Proposal Doc ID 0042 Post-Internal Review Round 2.pdf
429KB
PDF

Expert Peer Review

Reviewers: Stuart Marsh, PhD, Apostolos Papadopoulos, PhD
Review Date: November, 2022
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Review Documents:

Final Edits Round 2 Comparison to Expert Review Draft
Comparison V0043 with V0044 Expert Peer Review Comment Markup.pdf
460KB
PDF
Draft Submitted for Expert Peer Review
Ecometric Methodology Proposal Doc ID 0043 Final_Pre-External Expert Peer Review.pdf
400KB
PDF
Submission Date: November 1, 2022
Dr Stuart Marsh - Expert Peer Review Feedback Form
Ecometric Methodology Expert Peer Review Comments & Revisions_Marsh_1.0.docx.pdf
135KB
PDF
Dr Apostolos Papadopoulos - Expert Peer Review Feedback Form
Ecometric Methodology Expert Peer Review Comments & Revisions_Dr Papadopoulos_1.0.docx.pdf
130KB
PDF
Submission Date: November 22, 2022
Final Version
Ecometric Methodology Proposal Doc ID 0044_Final_Post-External Peer Review.pdf
560KB
PDF