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.
What are the different data products available?
Our two data products, Screening and Monitoring, are designed to support you along the entire project development lifecycle. Screening is a basic product that provides a high-level overview of your canopy cover, forest cover, aboveground, belowground biomass, canopy height and carbon at a 25-meter resolution. Monitoring is a more comprehensive product that provides you with all of the information that screening does, plus recalibration with field measurements, 95 confidence interval, at a 10 or 25 meters spatial resolution
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.
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 Instead of relying on outdated data where validation is difficult or impossible, our AI provides transparent and precise data points as far back as 2007 to establish relevant and dynamic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.
Which allometric relations are used?
At every stage of calculation, we employ a range of specific allometric relations tailored to the biome and species under consideration. These relations play a crucial role in determining important metrics such as volume, aboveground biomass, belowground biomass, and carbon stock. It is possible to configure the allometric relations directly on the platform.
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.