Our Use Cases

Explore NbS Use Cases

Dive deeper into our specialized solutions for coastal and terrestrial projects, backed by an extensive background in satellite remote sensing and artificial intelligence applications.

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Blue Carbon

Blue Carbon

Market-leading mangrove and coastal ecosystem intelligence with high-integrity monitoring and analytics

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Forestry Carbon

Forestry Carbon

High-integrity forest carbon monitoring for sequestration tracking, degradation detection, and scalable project oversight.

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NbS Carbon

Why NbS Projects Need High-Integrity Intelligence

Nature-based projects are under increasing scrutiny from investors, buyers, and rating agencies. Inconsistent baselines, weak monitoring, and poor traceability can reduce confidence and impact overall value.

Kumi Analytics provides a unified NbS intelligence layer for project developers, investors, and portfolio managers. Our methodology combines multi-sensor remote sensing and AI-driven analysis to deliver defensible project measurements from baseline through ongoing monitoring.

Our NbS Carbon Capabilities

Baseline & Additionality Assessment

Establish robust baselines and support additionality arguments using historical and current satellite-derived land cover and biomass intelligence.

Biomass & Carbon Stock Estimation

Estimate above-ground and below-ground biomass with calibrated multi-sensor models and transparent uncertainty ranges.

Leakage & Buffer Risk Monitoring

Track surrounding landscape changes and potential leakage zones to strengthen risk management and buffer pool assumptions.

Disturbance Detection & Alerts

Detect clearing, degradation, and major disturbance events quickly so teams can respond before impact compounds.

Restoration Progress Tracking

Measure canopy recovery and vegetation dynamics over time to evaluate restoration effectiveness and delivery against plans.

Audit-Ready dMRV Reporting

Generate structured outputs with documented methodology and confidence intervals to support verification and due diligence.

Technology

Technology Stack for NbS Carbon Intelligence

Nature-based carbon remote sensing technology

Multi-Sensor Intelligence Across Landscapes

We combine optical and SAR data to deliver consistent NbS monitoring across different ecosystem types. This enables:

  • Reliable monitoring in cloud-prone regions using SAR
  • Tree-level and canopy-structure analysis with very high-resolution optical data
  • Consistent reporting logic across blue carbon and forestry portfolios

High-Resolution Optical Imagery

Very high-resolution multispectral imagery supports crown-level analysis, vegetation health indicators, and restoration progress assessment across diverse project types.

AI Models with Uncertainty Quantification

Our machine learning workflows are calibrated against field and independent reference data, with transparent confidence metrics for decision-makers and auditors.

Benefits for Nature Based Solutions Portfolios

Stronger Credit Confidence

Defensible monitoring outputs improve confidence for buyers, investors, and ratings stakeholders.

Reduced Project Risk

Continuous intelligence and early warnings help mitigate reversal, downgrade, and delivery risks.

Better Market Positioning

High-integrity evidence helps portfolios stand out in quality-focused voluntary carbon markets.

Build Confidence in Your Nature Based Solution Strategy

Talk to us about your NbS portfolio and how we can support high-integrity monitoring, reporting, and decision-making.

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Frequently asked questions

Yes. Our NbS framework is designed for cross-ecosystem portfolios, including mangroves and terrestrial forests, while preserving ecosystem-specific analysis depth.
Our outputs are structured for verification workflows and include methodology documentation plus uncertainty quantification to support audit readiness.
Monitoring cadence can be tailored from periodic reporting cycles to more frequent updates and alerting, depending on project needs and risk profile.
Yes. The approach is suitable for portfolio-level oversight, enabling comparable intelligence across multiple NbS projects and geographies.