Kanop provides comprehensive services throughout the entire project lifecycle to support your nature-based investment decisions. We offer automated eligibility assessments across multiple carbon standards, independent validation of developer baselines using historical satellite data, and risk assessment including deforestation pressures and environmental threats. Our platform delivers carbon credit revenue projections through dynamic baseline modeling and provides cross-verification of project documentation with satellite observations. For ongoing portfolio management, we provide real-time performance tracking across your entire investment portfolio, continuous monitoring of project progress, and automated alerts for significant environmental changes.

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Yes, Kanop provides independent baseline validation using our extensive satellite data archive dating back to 2013. We cross-reference developer-provided baselines with historical satellite imagery, radar, and LiDAR data to verify claims about forest cover, biomass levels, and land use history.

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Yes, Kanop seamlessly manages portfolios across diverse ecosystems worldwide - from tropical rainforests to temperate woodlands, mangroves, and grasslands. Our AI models are trained globally and work consistently across different biomes and regions. You can monitor millions of hectares simultaneously with unified methodology and reporting, enabling efficient management of your entire nature-based investment portfolio from a single platform.

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Kanop evaluates investment risks through comprehensive satellite-based analysis and historical data validation. Our platform cross-references developer baseline claims with 10+ years of satellite records to identify inconsistencies. We also evaluate methodological compliance risks by automatically checking eligibility against carbon standards requirements. This multi-layered risk assessment helps you make informed investment decisions with confidence in project viability and credit delivery potential.

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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.

Kanop supports ARR projects with a comprehensive set of specialized tools throughout their lifecycle. During planning, we help identify optimal planting locations, verify methodological eligibility across standards, and assess baseline conditions with historical land use analysis.

Our project design tools include crediting projections based on forest carbon modeling, performance benchmark establishment, and development of monitoring plans that satisfy certification requirements.

For implementation and monitoring, we deliver regular assessments of carbon stock changes, detect disturbance events, and prepare robust documentation for verification bodies.

Our platform delivers a comprehensive suite of environmental indicators accessible through intuitive maps and interactive dashboards. These include vegetation structure metrics (canopy cover, forest cover, canopy height, tree height), carbon metrics (aboveground biomass, belowground biomass, carbon stock, CO2 equivalent), and biodiversity assessment through the Rao's Q diversity index. All indicators are available as both current states and change over time.

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.

Yes, we effectively establish both static and dynamic baselines for carbon projects. For static baselines, our platform provides historical data back to 2000, creating fixed reference points for measuring project performance.

For dynamic baselines (like VM0047), we support the entire process - from selecting representative project plots and matching control plots using k-nearest optimal matching, to monitoring stocking index over time and deriving performance benchmarks.