Sovereign Finance, Debt-for-Nature Swaps and Sustainability-Linked Bonds

The objective of Pilot 6 is to operationalise EO-based monitoring of forests for use in sovereign nature-linked financial instruments. The pilot develops algorithms capable of detecting forest loss, frontier forest conversion and changes in forest condition, translating these observations into monitorable KPIs. The focus on forests reflected the demand from stakeholders, with the goal to expanding to other areas over time.

The monitoring system combines multiple EO data sources in order to achieve reliable and cost-effective monitoring:

• Sentinel-1 radar data, enabling cloud-resilient monitoring
• Dynamic World probability layers for land-cover classification
• Hansen/GLAD forest change datasets providing contextual information on forest conversion
• Planet Tree Outside Forest (TOF) data used for validation

The algorithms follow the LEON EO processing framework and are designed to be transparent, reproducible and validated against reference datasets. Outputs include spatial datasets, time-series indicators and dashboards that allow forest outcomes to be monitored and interpreted.

During the pilot phase, the system generates indicators corresponding to an initial set of forest monitoring KPIs, focusing primarily on forest loss and frontier conversion. These indicators are tested within a defined geographic area in Uganda and provide the basis for future expansion to national-level monitoring.

The pilot contributes to emerging frameworks that require robust environmental monitoring to support nature-linked finance.

EO-derived indicators developed in the pilot can support monitoring requirements associated with:

• Sustainability-linked sovereign bonds (SSLBs)
• Sustainability-linked loans (SLLs)
• Debt-for-nature or debt-for-development swaps
• International forest finance initiatives

The monitoring approach is also designed to be compatible with national forest monitoring systems, including systems developed under REDD+ programmes. By aligning EO monitoring with existing reporting structures, the pilot supports the integration of EO-derived indicators into national environmental governance and financial reporting frameworks.

The pilot addresses the needs of governments, financial institutions and development partners seeking credible environmental indicators for nature-linked finance.

Key user requirements include:

• Independently verifiable indicators based on transparent methodologies
• Consistency and comparability across time and geographic areas
• Operational feasibility, allowing monitoring systems to be maintained within national institutions
• Low operational cost to enable regular updates and long-term monitoring
• Compatibility with existing national monitoring systems, including REDD+ infrastructure.

By prioritising these requirements, the pilot ensures that EO monitoring systems can support both financial decision-making and environmental reporting.

The outputs of Pilot 6 enable governments and financial partners to link financial performance conditions to measurable forest outcomes.

EO-derived indicators provide a transparent basis for defining and tracking environmental targets within sustainability-linked sovereign financial instruments. The monitoring system allows stakeholders to track forest change over time through spatial datasets and time-series indicators, strengthening measurement, reporting and verification processes.

In the Uganda pilot case, the indicators developed provide the foundation for monitoring forest outcomes linked to sustainability-linked bond frameworks and related financial instruments.

Beyond the pilot phase, the monitoring system can be expanded to include indicators of forest degradation and recovery, supporting broader national forest governance and international environmental commitments. By demonstrating how EO data can be translated into financial performance metrics, the pilot provides an important step toward scaling nature-linked sovereign finance supported by robust environmental monitoring systems.