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".
What are the limitations on project size?
There are no limitations. Projects can range in size from a few hundred hectares to millions of hectares. We believe that all ecosystems deserve modern measurement tools.
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.
What indicators does your platform provide?
Our current data product provides the following indicators, accessible via intuitive maps and interactive dashboards: canopy cover, forest cover, canopy height, tree height, aboveground biomass, belowground biomass, carbon stock, carbon dioxide equivalent (CO2eq) and the Rao's Q diversity index.
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.
Is Kanop capable of generating baseline data?
In order to generate a suitable quantity of credits for a conservation project, it is crucial for developers to establish the 'baseline' for the region in question. Instead of relying on outdated data where validation is difficult or impossible, our AI provides transparent and precise data points as far back as 2007 to establish relevant and dynamic baselines.
Is there an API to access the platform?
Yes, our API connects your sites and projects directly to our advanced analytics platform. Moreover, built with security at its core, our API ensures that your data remains safe. If you're interested, let us know.
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.
