UAVs are increasingly integral to carbon credit systems, enhancing the precision and efficiency of monitoring, reporting, and verification (MRV) processes. Their ability to access remote areas and capture high-resolution data makes them invaluable in assessing carbon sequestration and emissions across various ecosystems.

Forest Carbon Stock Assessment

• Data Collection: Equipped with RGB or LiDAR sensors, UAVs capture detailed imagery to derive forest structural parameters such as canopy area, height, and tree diameter.
• Biomass Estimation: These parameters are utilized in machine learning models and allometric equations to estimate above-ground biomass, which is directly related to carbon storage.

Monitoring Deforestation and Degradation

• Change Detection: UAVs provide high-resolution, up-to-date imagery, enabling the detection of subtle changes in forest structure indicative of degradation or illegal logging activities.

Soil Carbon Measurement

• Agricultural Practices: UAVs assess the impact of regenerative agriculture practices on soil carbon sequestration by capturing data on crop health and soil conditions.
• Data Integration: Combining UAV imagery with AI models facilitates accurate predictions of soil organic carbon content.

Greenhouse Gas Emissions Monitoring

• Methane Detection: UAVs equipped with gas sensors monitor methane emissions from industrial sites, landfills, and agricultural operations, providing data essential for carbon credit calculations.
• Emission Source Identification: The mobility of UAVs allows for pinpointing specific emission sources, aiding in targeted mitigation efforts.