Canopy Height Prediction: Faster & 90% Lower Cost

Dynex Announces Independent Validation of Quantum Canopy Height Prediction Model, Delivering Faster Results at 90% Lower Cost

Switzerland - September 2026 - Dynex (www.dynex.co), an award-winning global technology leader and solutions provider headquartered in Switzerland, focused on the development, deployment and commercialisation of end-to-end quantum-driven solutions at industrial scale and powered by its proprietary Quantum-as-a-Service (QaaS) technology, today announced the independent validation of the Dynex Moonshots Quantum Canopy Height Prediction Model (QCHP) by Bluebell Index (www.bluebellindex.com), a São Paulo-based climate fintech company specialising in the valuation, certification and monetisation of environmental assets across carbon, water, soil and biodiversity. Bluebell's environmental methodology is certified by Bureau Veritas and its processes are externally audited by KPMG.

Canopy height prediction is the process of estimating the height and vertical structure of trees and forests across landscapes using remotely sensed data. Canopy height is an important structural variable for forest monitoring, biomass and carbon assessment. Because tree height is closely connected to forest structure and biomass, reliable canopy-height information can help organisations assess carbon stored in forests, monitor degradation and deforestation, understand habitat conditions and track changes over time.

Quantum-Enhanced Prediction of the World's Forests

Many existing canopy-height datasets provide highly valuable observations of forest structure, but fundamentally represent vegetation conditions associated with a particular acquisition period. Forests, however, continuously change through growth, harvesting, clearing, fire, agricultural conversion, restoration and other disturbances. Historical maps therefore cannot by themselves show what happens to forest structure after the observation period.

Dynex QCHP was developed as a forward-looking canopy-height prediction model. The solution combines a hybrid Convolutional Neural Network (CNN) for spatial feature extraction and a Quantum Graph Neural Network (QGNN) component executed through Dynex's unique cloud-based, qubit-agnostic platform architecture. Its temporal formulation is designed to capture non-linear patterns of vegetation growth, degradation and disturbance rather than simply estimating a static canopy map from imagery collected at a single point in time.

This creates an important distinction between mapping what has already been observed and predicting what comes next. For carbon markets, natural-capital management, biodiversity monitoring, forestry and environmental reporting, the ability to anticipate changes in canopy structure could enable organisations to identify risks and changes earlier and make decisions using more frequently updated environmental intelligence.

Independent Validation by Bluebell Index

Bluebell Index independently assessed Dynex QCHP across five geographic validation sites, comparing its outputs with canopy-height statistics obtained from the ETH Global Canopy Height 2020 product through Google Earth Engine. The assessment considered predicted mean canopy height, reference-pixel support, prediction coverage and consistency with recent land-cover conditions.

The independent assessment found that Dynex QCHP delivered the assessment approximately five times faster and at approximately 90% lower cost than the equivalent classical canopy-height workflow. The complete assessment was delivered in three months, compared with the multi-year programme associated with conventional acquisition-and-processing approaches such as airborne LiDAR campaigns or staged field surveys.

Bluebell concluded that the assessment returned a strongly positive result and recommended Dynex QCHP for operational canopy-height assessment, including expansion towards large-area, portfolio-scale and national-scale deployment.

From Periodic Measurement to Continuous Monitoring

For the industry, the significance lies in moving beyond mapping forests as they were observed towards predicting how they are changing. Advanced canopy-height technologies are already being developed by major technology and geospatial organisations. Meta and the World Resources Institute, for example, launched Canopy Height Maps v2 in 2026, using Meta's DINOv3 computer-vision architecture and satellite imagery to generate high-resolution canopy-height maps, with applications including carbon estimation, restoration monitoring, biodiversity and forest-health assessment. Dynex QCHP introduces a different capability: rather than primarily mapping an observed or historical canopy state, it incorporates temporal information to predict canopy height at a defined future horizon, using a hybrid Convolutional Neural Network (CNN) and Quantum Graph Neural Network (QGNN) architecture executed through Dynex's proprietary cloud-based, qubit-agnostic platform architecture.

The broader significance of the validation is not simply that canopy-height assessment can be performed faster. It is that the economics demonstrated by QCHP could change how frequently forests can realistically be assessed.

Bluebell found that QCHP's approximately fivefold reduction in time-to-result and 90% reduction in unit cost could shift canopy assessment from an occasional, capital-intensive exercise towards a repeatable operational capability. Large forest estates, geographically dispersed portfolios and potentially national-scale areas could therefore be assessed and reassessed on substantially shorter cycles.

This matters because forests do not change according to reporting schedules. Deforestation, degradation, wildfire, harvesting, agricultural conversion and restoration can alter forest structure between conventional measurement cycles. More frequent monitoring can provide earlier visibility into these changes and create more current information for carbon and biomass accounting, biodiversity assessment, natural-capital and forest asset valuation, ESG reporting and environmental risk management.

Bluebell therefore recommended that Dynex QCHP be established on a recurring monitoring cycle rather than used solely as a one-off assessment, with its outputs integrated into forest asset valuation, biodiversity assessment, carbon and ESG reporting workflows.

About Dynex

Dynex (www.dynex.co) is an award-winning global technology solutions provider focused on the development and deployment of end-to-end quantum-driven solutions at industrial scale, powered by its proprietary Quantum-as-a-Service (QaaS) technology. The technology is embedded in a unique cloud-based, qubit-agnostic platform architecture, which gives customers access to Dynex's emulation technology supporting up to 1,000,000 algorithmic qubits; Dynex's quantum-driven neuromorphic Apollo chip, operating at room temperature and designed to operate with up to 10,000 physical p-qubits; and Zeus, a breakthrough full-quantum processor prototype built on a nitrogen-vacancy (NV) nanodiamond spin-qubit architecture, operating at room temperature.

Dynex delivers customised, production-grade solutions to global enterprises through seamless API integration and access to the platform, leveraging quantum-driven computational capabilities within established technology stacks. By combining scalable infrastructure with domain-specific implementation, Dynex advances practical accessibility and cost-efficient adoption of next-generation computational paradigms.

The transition towards mainstream adoption of Dynex's quantum-driven computing has been underpinned by Dynex's commitment to ethical integrity. This commitment is led and safeguarded by Dynex Moonshots (www.dynexmoonshots.com), Family Office of Dynex, steward of the Ethical Committee and investor in pioneers shaping the future across Health, Society, Nature and Space by fostering significant breakthroughs.

For the Advanced Quantum Education initiative, Dynex Moonshots acts as a founding investor of the Q platform (www.qedu.co), which, through its programmes, is designed to cultivate emerging talent, foster interdisciplinary research and promote responsible technological progress.

About Moonshot

Dynex Moonshots (www.dynexmoonshots.com), Family Office of Dynex, is the steward of the Ethical Committee, helping safeguard the ethical integrity underpinning Dynex's development, deployment and commercialisation of end-to-end quantum-driven solutions at industrial scale. Dynex Moonshots supports ambitious endeavours across industry by providing access to Dynex's proprietary Quantum-as-a-Service (QaaS) technology to accelerate advancements that might otherwise take years to realise. Dynex Moonshots is also an investor in pioneers shaping the future across health, society, nature and space, fostering significant breakthroughs.

About Bluebell Index

Bluebell Index ("BBI") is a São Paulo-based climate fintech focused on accelerating the transition to a low-carbon, nature-positive economy by transforming environmental assets into investable financial solutions. The company specialises in the valuation, certification and monetisation of environmental assets across carbon, water, soil and biodiversity, connecting landowners pursuing regenerative and climate-positive land-use practices with corporations seeking to advance their net-zero and environmental commitments. Bluebell Index approach enables measurable environmental value to be translated into financial instruments, helping unlock capital for conservation, regeneration and sustainable land management while providing organisations with credible pathways to invest in nature and climate outcomes.

Bluebell's environmental methodology is certified by Bureau Veritas and its processes are externally audited by KPMG, providing an independent framework of assurance around its environmental asset valuation and certification activities.

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Zoë van HorenHead of Communications, [email protected] | [email protected] | https://dynex.co/