Bringing data analytics to natural ecosystems of all sizes
State-of-the-art AI models provide accurate measurements and reports to projects all over the world
Due diligence and MRV
“As we grow our forestry projects, optimizing our measurement and on-site collection process was becoming essential in order to report to our clients. Kanop’s approach to MRV is very complimentary and easy to use."
Nature-based Solutions data analytics just got modern. There are no silly questions.
Frequently asked questions
Everything you need to know about the platform.
Is Kanop compatible with Verra Verified Carbon Standard (VCS) and other standards?
Yes, we are. We support stratification plot design and monitoring for VM0047. We enables integration of field measurements to recalibrate model outputs, making us compatible with VT0005 (Tool for Measuring Above Ground Live Forest Biomass Using Remote Sensing). We are proactively working to maintain compatibility with forthcoming revision to VT005 as well as Verra's upcoming "Tool for Measuring Height of Biomass Using Remote Sensing and Artificial Intelligence".
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.
What are the different products available?
Our two products, screening and MRV, are designed to support you along the entire project development lifecycle. Screening is a basic product that provides a high-level overview of your forest cover, aboveground, belowground biomass, and carbon at a 25-meter resolution. MRV is a more comprehensive product that provides you with all of the information that screening does, plus additional indicators (such as canopy height), recalibration with field measurements, uncertainty level, at a 10-meter resolution.
How accurate is the estimation of the aboveground biomass?
Our study's results were compared to a global database provided by NASA. We determined that the aboveground biomass estimation has a mean absolute error of less than 20 tons per hectare in many ecosystems. For further details, please contact us.
Is ground data necessary?
It is possible, sometimes necessary (for instance to match standards requirements such as Verra’s VT0005), to recalibrate the output of our models with your own field data to improve accuracy. Please let us know if you are interested in bringing in your field measurements, we will help you upload the data onto the platform.
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.
"I develop SAR-based indicators to enhance our height and biomass machine learning models. Using Sentinel1 (C band) and Alos Palsar (L band) data inversion enables accurate calculation of biomass and height metrics across various Earth ecosystems, including tropical rainforests that are often cloud-obscured. SAR data is minimally affected by weather conditions and light, allowing us to acquire information beneath the canopy level. "