Is Kanop compatible with Verra Verified Carbon Standard (VCS) and other standards?
Yes, we are. We establish the baseline scenario, derive the performance benchmark and monitor the stocking index for VM0047. Also, we enable integration of field measurements to recalibrate model outputs, making us compatible with VT0005 (Tool for Measuring Above Ground Live Forest Biomass Using Remote Sensing). Last but not leasr, we are proactively working to maintain compatibility with forthcoming revision to VT0005 as well as Verra's upcoming "Tool for Measuring Height of Biomass Using Remote Sensing and Artificial Intelligence".
Can your solution differentiate between primary forests and planted forests?
Yes, our platform harnesses satellite imagery and AI to discern various types of forests, be it primary forests or plantations.
Is ground data necessary?
Our data product's accuracy can be enhanced by recalibrating it with your own field measurements, for example, to meet specific standards’ requirements such as those outlined in Verra's VT0005 or VM0047. For more information on this process, please reach out.
What data sources do you use?
Our AI uses imagery from satellites that use optical, radar and LiDAR instruments. Some of the imagery is public and some is commercial. The mix gives you fast and accurate reports. You'll discover the power of easy and accurate measuring.
How accurate is the estimation of the aboveground biomass?
Our accuracy assessment reports compare our model against global independent spatial LiDAR GEDI AGB dataset and against LiDAR-derived AGB research findings from Brazil. We observed a Mean Absolute Error (MAE) of 15 tonnes of dry matter per hectare of aboveground biomass in many ecosystems. For further details, please contact us.
