Earth Observation (EO) for Monitoring, Reporting, and Verifi cation (MRV) of Carbon Farming (CF) - Uncertainty and Benchmarking

The report explores the role of Earth Observation (EO) in enhancing Monitoring, Reporting, and Verification (MRV) systems for carbon farming across the EU, highlighting its potential to support climate neutrality goals through scalable, cost-effective, and data-driven approaches. EO technologies—such as satellite imagery, LiDAR, SAR—offer valuable insights into land use, vegetation, and biomass, but must be combined with ground-truth data and models to estimate soil organic carbon (SOC) accurately. The document stresses the importance of data integration, methodological harmonization, and managing uncertainties in carbon stock estimates, particularly when using models for certification and market mechanisms. It proposes the development of an EU-wide benchmarking platform to validate and compare MRV methodologies across diverse pedoclimatic regions and farming systems. The report also emphasizes the need for improved data governance, open access to land parcel information, and consistent protocols to ensure transparency, trust, and interoperability. Ensuring stakeholder confidence—from farmers to policymakers—requires reducing uncertainty, aligning MRV tools with certification standards, and making monitoring frameworks both robust and operational at scale.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-02
DOI
https://doi.org/10.5281/zenodo.15323417
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
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article

Earth Observation (EO) for Monitoring, Reporting, and Verifi cation (MRV) of Carbon Farming (CF) - Uncertainty and Benchmarking

Zenodo (CERN European Organization for Nuclear Research)
Remote Sensing in Agriculture
article

Earth Observation (EO) for Monitoring, Reporting, and Verifi cation (MRV) of Carbon Farming (CF) - Uncertainty and Benchmarking

article en

Abstract

The report explores the role of Earth Observation (EO) in enhancing Monitoring, Reporting, and Verification (MRV) systems for carbon farming across the EU, highlighting its potential to support climate neutrality goals through scalable, cost-effective, and data-driven approaches. EO technologies—such as satellite imagery, LiDAR, SAR—offer valuable insights into land use, vegetation, and biomass, but must be combined with ground-truth data and models to estimate soil organic carbon (SOC) accurately. The document stresses the importance of data integration, methodological harmonization, and managing uncertainties in carbon stock estimates, particularly when using models for certification and market mechanisms. It proposes the development of an EU-wide benchmarking platform to validate and compare MRV methodologies across diverse pedoclimatic regions and farming systems. The report also emphasizes the need for improved data governance, open access to land parcel information, and consistent protocols to ensure transparency, trust, and interoperability. Ensuring stakeholder confidence—from farmers to policymakers—requires reducing uncertainty, aligning MRV tools with certification standards, and making monitoring frameworks both robust and operational at scale.

Zenodo (CERN European Organization for Nuclear Research)
Central Institute of Indian Languages (IN), Innovate UK (GB), Library of America (US), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), EarthSky (US), Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria (IT), Tyrone County Hospital (GB), Zero Emissions Resource Organisation (NO), Carbon180 (US), National Institute of Food and Agriculture (US), Environmental Analysis and Remote Sensing (Netherlands) (NL), Nano Carbon (Poland) (PL), NILU (NO), European Environment Agency (DK)
Climate action
Openalex Percentile: Top 52%
Remote Sensing in Agriculture
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