How does Kanop help track land use changes in my sourcing regions?
Kanop provides continuous monitoring of land use changes across your sourcing regions using satellite imagery and AI analytics. Our platform tracks deforestation, forest degradation, and land conversion in real-time, enabling you to identify risks and compliance issues before they impact your operations.
We establish dynamic baselines for each sourcing location, allowing you to measure changes over time and quantify the environmental impact of your supply chain activities. This approach helps you demonstrate due diligence for regulations like EUDR, track progress toward sustainability commitments, and make informed sourcing decisions based on accurate, up-to-date environmental data.
What project type do you support?
Kanop supports ARR (tree planting/restoration), REDD+ (forest conservation), Blue Carbon (mangroves/wetlands), Improved Forest Management, Agroforestry, and Grassland restoration projects. We also provide supply chain monitoring and land use tracking.
Is Kanop compatible with Verra Verified Carbon Standard (VCS), Gold Standard and other standards?
Yes, Kanop's platform is designed to support all major carbon standards including Verra VCS, Gold Standard, BioCarbon Standard, and Isometric. Our satellite-based MRV technology aligns with methodological requirements for nature-based projects throughout the entire project lifecycle.
We provide seamless support from eligibility assessment through baseline establishment to ongoing monitoring and verification. Our measurements are scientifically validated and fully auditable, delivering the transparency and accuracy essential for successful project certification and investor confidence.
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.
Is ground data necessary?
While our AI models deliver accurate results without ground data, incorporating your field measurements can significantly enhance precision and reduce uncertainty. This recalibration process is especially valuable for meeting specific certification requirements such as those in Verra's VM0047 methodology. Our platform makes integrating field data straightforward, allowing you to maximize both accuracy and cost-efficiency based on your project's specific needs.
What data sources do you use?
Our data products integrate multiple satellite data sources to ensure accurate results. We utilize optical multispectral data from Sentinel-2 and Landsat-8, along with Synthetic Aperture Radar (SAR) data from Sentinel-1, PALSAR, and PALSAR-2. We also incorporate LiDAR data from sources like GEDI and airborne LiDAR scans.
How accurate is the estimation of the aboveground biomass?
Our aboveground biomass measurements have been rigorously validated against independent reference data, including global LiDAR GEDI datasets and region-specific research from tropical forests in Brazil. These validation studies confirm our models achieve a Mean Absolute Error of approximately 15 tonnes of dry matter per hectare across diverse ecosystems.
