In October, meet us at EO for Carbon Markets Forum (03-05, Rome) and at CIFB - Corporate Investments into Forestry & Biodiversity (4-5, London)

Data analytics
for Nature-based Solutions

Trustable science-based impact data for project screening and monitoring.

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

MRV for Nature-Based Solutions

“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."

EUDR Compliance Solution

Kanop's satellite-driven MRV system empowers supply chain managers to monitor deforestation and forest degradation, to ensure compliance with the new EU deforestation regulation.

easy setup



Platform Features

Easy Setup

Sign up with your email and you're good to go. Want to integrate us to your product? Our API is ready.

Robust Predictions

Our proprietary AI models are developed, trained and validated using cutting-edge scientific methodologies to provide you with enhanced precision and accuracy.

Centralized Data

Tracking and monitoring however many projects you have in one place is made easy with dashboards.

Configurable Methodology

Each project can be customized to your methodology and specific requirements. The decision is yours to make with just a few clicks.
They Support Us
50 Partners Impact

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Precise, science-based and scalable data analytics for nature-based solutions
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 there a free trial available?
Yes, you can test it by creating a project directly on the platform. This will allow you to request and obtain measurement data, and monitor how your project changes over time. No more calling consultants for long processes.
Is Kanop compatible with Verra Verified Carbon Standard (VCS) and other standards?
Kanop enables seamless integration of field data and the recalibration of model outputs, making our approach to quantifying aboveground biomass and carbon stocks fully compatible with VT005 (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 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.
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 30 tons per hectare in many ecosystems. For further details, please contact us.
Is there an API to access the platform?
We have an API to help you scale your measurement verification operations. If you're interested, let us know.
Is ground data necessary?
Our AI models and automation push for a limited need for ground data. Depending on your need, you may provide us with ground data that will help our AI perform even better in your area (recalibration process). If that's the case, we will support you in importing your data.
How independent and unbiased is Kanop?
To avoid creating a conflict of interest and to keep carbon offsets trustworthy, we concentrate solely on measuring and are not involved in the buying or selling of carbon credits.
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 also possible to specify to us the allometric relations you would like us to use.
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.

Still have questions?

The humans designing the AI

Meet our Scientists

Feature image

"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. "

Colette Gelas, PhD
Remote Sensing Engineer
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Building a world where Earth's natural ecosystems are understood, protected, and integrated sustainably into tomorrow's economy and society.
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