Digital Agriculture and Carbon -The Contribution of Satellite Data

Article by : Dr. Jacques Amselem , Jacques Amselem, Ph.D. Co-Founder & CEO, Mayman One Energy

Agriculture has a unique role in the climate transition. While it contributes to greenhouse gas emissions, it also offers one of the most effective pathways for carbon sequestration, particularly through soils. Unlocking this potential depends on the ability to measure, monitor, and verify carbon dynamics at scale. Recent advances in satellite imagery and digital agriculture now make this possible.

Remote Sensing as a Carbon Measurement Tool

Earth-observation satellites provide continuous, large-scale data on agricultural systems. Several satellite-derived indicators are directly linked to soil carbon dynamics:

● Vegetation indices (e.g., NDVI), which reflect biomass production and photosynthetic activity

● Soil moisture and soil structure, detected via radar and thermal sensors, influencing biological activity and carbon stabilization

● Land use and crop rotation patterns, monitored through time-series multispectral imagery

When combined, these indicators feed agronomic and biogeochemical models capable of estimating changes in soil organic carbon stocks over time, from field to regional scale.

Artificial Intelligence as a Decision-Making Lever

Artificial intelligence is essential for transforming large volumes of satellite data into actionable insights. AI enables pattern detection, links agricultural practices to carbon outcomes, and supports practical decision-making.

Artificial intelligence is essential for transforming large volumes of satellite data into actionable insights. AI enables pattern detection, links agricultural practices to carbon outcomes, and supports practical decision-making.

These tools allow stakeholders to:

● Identify farming practices that enhance soil carbon sequestration

● Monitor the impact of transitions such as reduced tillage or cover cropping

● Support advisory services, cooperatives, and agribusinesses with objective, scalable data

Toward Credible Agricultural Carbon Accounting

Reliable carbon markets and climate incentive mechanisms require transparent, verifiable, and comparable measurement systems. Satellite-based approaches complement field measurements by reducing uncertainty and enabling continuous monitoring across large areas.

This enables:

● Carbon accounting at farm, regional, or national level

● Verification of climate-positive agricultural practices

● Alignment with emerging carbon standards and reporting frameworks

Conclusion

Article by : Dr. Jacques Amselem , Jacques Amselem, Ph.D. Co-Founder & CEO, Mayman One Energy

The convergence of satellite imagery, AI, and agronomic modeling is transforming how agriculture’s climate impact is assessed. These tools provide the foundation for credible soil carbon monitoring and support the deployment of climate-smart agriculture at scale — provided they are integrated into farmer-centric adoption and decision frameworks.