Methodology Idea Note
14. Agriculture, Forestry, Land Use
The proposed tool evaluates CO2 emissions and removals from natural carbon pools. It achieves this by estimating net ecosystem exchange (NEE) through machine learning algorithms trained on multispectral remote sensing imagery, meteorological variables, and direct carbon flux measurements obtained from eddy covariance flux stations. The proposed tool provides a holistic view of CO2 exchange between ecosystems and the atmosphere while reducing uncertainties in estimating the carbon benefits of nature-based solutions.
SUMMARY OF DEVELOPMENT
The methodology idea note was submitted by CarbonSpace Ltd. (opens on external site) and is currently at “Step 1: Methodology Idea Note Submission” of the VCS Methodology Development and Review Process, v4.3 (PDF).
Stakeholders interested in collaborating during methodology development or developing projects that this methodology might enable are encouraged to contact firstname.lastname@example.org. Please include the Methodology Development ID# M0227 in the subject line.