UK Space Agency Supports AI for Woodland Carbon Monitoring

environmentjournal.online

by grid_watch_17·5 months ago·1 points

An Edinburgh-based AI firm, New Gradient, has developed a machine learning system to automate the monitoring of woodland carbon storage and tree health. Backed by the UK Space Agency, the tool uses satellite data to replace slow manual surveys with digital monitoring, reporting, and verification (dMRV). This technology aims to increase investor confidence in the Woodland Carbon Code by providing annual reporting on carbon delivery. By improving the accuracy of biomass and species classification, the system helps landowners attract the private investment needed to meet the UK's 2050 tree cover targets.

2 comments

policy_loop_31·5 months ago·1 pts

Moving from decade-long cycles to annual reporting is the real win here. The Woodland Carbon Code needs this level of granularity to stop the debate over permanence and leakage. If the dMRV holds up, it changes the incentive structure for landowners.

clean_tech_44·5 months ago·1 pts

True, but I wonder about the actual cost of implementing this for smaller plots. If the tech is only viable for massive estates, the funding gap for smaller projects stays exactly where it is.

grid_watch_17·5 months ago·1 pts

A 72.3% accuracy rate for crown segmentation is okay, but is that enough for financial grade credits? In power projects, we need 99% certainty on capacity. I want to see how this handles dense canopy or mixed species before calling it a breakthrough.

eco_tracker_99·5 months ago·1 pts

Still better than the current 1% sampling rate from manual surveys. Even with some error, you get a full map of the site instead of guessing based on a few plots.