Carbon credit verification
Akvo specialises in verifying carbon offset claims through cost-effective, robust, and accurate ground truth data collection methods.
The importance of carbon credit verification
With the rapid growth of the voluntary carbon market, the need for verifying carbon credits has never been more critical. Reliable data is essential to ensuring that carbon offset claims are both accurate and credible.
Effective verification involves detailed ground truth data collection, which helps confirm that carbon offsets represent real and measurable reductions in greenhouse gas emissions. This process prevents issues such as double counting and enhances the transparency and integrity of the carbon market, while ensuring that farmers and local actors are duly compensated.

Akvo carbon credit services

Rigorous validation protocols
We implement standardised protocols and provide comprehensive training to ensure accuracy and scalability. Our validation process adheres to the industry best practices, guaranteeing reliable and consistent results.

End to end solution in 30+ countries
We cover every aspect of the validation process. Our global reach ensures accessibility and inclusivity, empowering initiatives worldwide to participate in the carbon credit market confidently.

Innovative data approach
We achieve high data accuracy by triangulating ground-truthing with advanced smart data analytics, including remote sensing and AI technologies. Collaborating with local experts, we validate assumptions and enhance the relevance and precision of our results.
Akvo’s proven approach

Understand
Gather comprehensive data to establish a clear understanding of the project’s goals, context, potential impact, and local conditions.
Co-create
Develop a tailored monitoring, reporting, and verification (MRV) plan to determine what, when, and how to monitor, ensuring methodologies are robust and aligned with the carbon credit certification standards.


Implement
Train and guide local teams in over 30 countries to conduct systematic field monitoring, ensuring accurate tracking of project performance and impact.
Support and scale
Conduct quality checks and provide ongoing support to optimise project outcomes, ensuring the successful models can be scaled to other regions.

Groundtruth data collection at scale with Rabobank’s Acorn
As a flagship programme of Rabobank, Acorn’s mission is twofold: improving the livelihoods of smallholder farmers while simultaneously combating climate change through agroforestry. Agroforestry is a practice of land management which encourages the cultivation of trees along with agriculture crops. Over time, this practice can improve the quality of the soil as well as the yield of crops. As the trees grow, they sequester carbon dioxide from the atmosphere.
The Acorn programme helps smallholder farmers transition to agroforestry by offering their sequestered carbon as carbon removal units to responsible corporations, with 80% of the sales revenue going directly to the farmers. Akvo is the ground truth data partner of the Acorn programme, ensuring that the data collected around the world is high quality and used to boost impact.

Why Akvo?
Proven methodology
We have piloted our ground truth methodology in 30+ countries. Combining data expertise with local insights, our global scale allows us to validate assumptions and continually improve.
Data and tech expertise
Our team has expertise in remote data collection technologies, as well as the data models behind them. We are skilled in applying these technologies to various challenges across different contexts.
Scalable solution
Our local teams are located on five continents and operate on a global scale. Through our enumerators on the ground who can collaborate with local actors, we provide a logistically feasible and sustainable solution
Ready to get started?
Speak to one of our team about your ground truth data collection needs.





Our regional hubs
Our services
Tech solutions
Our expertise
We apply the principles of open source software, open content and open data to all of our work.
Find out why and how.