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Seqana){kind=logo}
What They Do
Seqana is leveraging satellite data and machine learning to drive down the cost of monitoring, reporting and verification of soil carbon projects. By training their statistical model on decades of satellite data and 200,000+ soil samples, along with relevant climate and agronomic data, Seqana can map out soil strata—the distinct layers of soil. This allows them to guide farmers or project developers on optimal sampling locations to accurately measure soil carbon with fewest samples possible. The result is a significant reduction in costs and increased accessibility for tracking soil carbon changes over time. With projects in 20+ countries around the world, Seqana is helping project developers, non-governmental organizations (NGOs), and multinational corporations finance the transition to more sustainable farming practices by accessing the VCM.
Why It Matters
Accurate measurement is an important step to effective management. The reality is that measuring soil carbon accurately is costly, requiring extensive sampling and lab analysis, which is a barrier for many. Improving the accuracy and reducing the cost of MRV is an important first step to greenlighting more projects focused on enhancing soil carbon sequestration. While lower-cost methods exist, they often lack the precision needed to detect statistically relevant changes in soil organic carbon. Counteract believe that combining remote sensing with high-quality soil sampling + measurement data will offer a robust, cost-effective solution for reliably measuring the impact of management strategies that build the soil carbon sink.
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The Seqana team
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