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
“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."
"Our forests under management have grown drastically as we expanded nationally and internationally. Tracking forest growth and health was becoming challenging, until we started using Kanop. Managing resources has become easy and the cost for doing so has drastically dropped."
Everything you need to know about the platform and billing.
Is there a free trial available?
Yes, you can test it by making a project that's up to 25 hectares big. You'll be able to measure using standard measurement levels (10x10m resolution) and see how your project changes over time. No more calling consultants for long processes. Try us, it's easy like signing up for a movie streaming website.
How big or small can projects be?
Any size, from a few hundred hectares to many thousands of hectares. We think all forests deserve to have modern forest measuring tools.
What’s needed to get started?
Just your email, a few clicks, and your shapefile or geojson. Our platform will make a report just for the area you're interested in. And don't worry, we won't ask for your credit card to try us out.
What data sources do you use?
Our AI uses imagery from satellites that use radar and optical 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 ground data necessary?
Our AI models benefit from extensive training using an immense dataset of ground truths. As a result, we do not require project-level ground data. However, should you choose to provide us with specific ground data relevant to your area, it can further enhance our AI's performance and accuracy. In such cases, we will gladly assist you in importing the data to ensure optimal results.
How independent and unbiased is Kanop?
To make carbon offsets trustworthy, we concentrate solely on measuring and don't get involved in buying or selling.
"I develop SAR-based indicators to enhance our height and biomass machine learning models. Using PolSAR P-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. "