We are very pleased to mark a major milestone in our mission to revolutionize forest carbon monitoring. With funding support from the Ministry of Economy, Trade and Industry of Japan, a groundbreaking pilot project in Malawi has officially begun data collection in partnership with iRise Carbon.

Why This Matters

The challenge of accurately measuring forest biomass and carbon sequestration has long hindered effective climate action. Traditional manual calculation methods are not only costly and time consuming, but also prone to significant inaccuracies. Our AI powered satellite data analysis provides a transformative solution that achieves substantially higher accuracy at a fraction of the cost.

However, the success of any AI system depends on the quality of its training data. That is why we are working closely with iRise Carbon, which is collecting precise and locally grounded data in Malawi to fine tune our models for African forest ecosystems.

Project Implementation

Over the next two months, in partnership with iRise Carbon, we will conduct comprehensive data collection across 15,000 hectares of forest in Malawi. Field teams will carry out detailed measurements across 150 strategically selected plots, carefully recording the following:

Tree counts and species identification
Measurements of tree height and diameter
Calculations of biomass and carbon storage

This field data serves two critical purposes. The first is to validate satellite based predictions against actual measurements. The second is to customize our global AI models to reflect local forest conditions. As a result, we can achieve more accurate and ecosystem specific biomass estimation.

Supporting Local Communities

This project goes beyond technical achievement and represents our commitment to meaningful collaboration that creates value locally. By working directly with iRise Carbon, which contracts local workers for data collection, we are not only gathering essential data but also supporting sustainable employment and building lasting relationships with the communities where we operate.

Looking Ahead

Initial results from the first batch of data are already promising and further strengthen our confidence in this approach. By continuing to refine our models using this valuable ground data, we are positioning ourselves to achieve unprecedented accuracy in satellite based forest monitoring.

This project is more than a technical demonstration. It is a step toward scalable and accessible solutions for global forest carbon monitoring and will help accelerate climate action around the world.

Would you like to learn more about satellite based AI applications in environmental monitoring? We welcome connections with organizations and individuals addressing similar challenges. Please feel free to contact us at info@dailabs.ai to explore potential collaboration opportunities.