Framework for National Forest Monitoring System

Background

Ghana positions REDD+ as a central climate mitigation strategy and recognizes the National Forest Monitoring System (NFMS) as essential for transparency, accountability, and results-based payments. While Ghana develops its Forest Reference Level, progress on the NFMS remains fragmented, with multiple institutions maintaining partial and uncoordinated monitoring systems. Additionally, existing datasets, such as land cover maps, biomass inventories, and GIS infrastructure, vary in quality, frequency, and scope. For example, land cover maps are often produced through project-based efforts rather than continuous national monitoring, and challenges persist in distinguishing agroforestry systems, such as cocoa, from natural forests due to spectral limitations.

Goals and Methods

This framework outlines the design and operationalization of an integrated NFMS for Ghana. It builds on existing systems rather than creating a new structure, emphasizing interoperability across institutions. The framework includes core components such as greenhouse gas inventory, safeguard monitoring, registry systems, and data portals. It adopts a phased implementation approach, including staging, deployment, and iterative upgrades. The design integrates remote sensing, field inventories, and institutional databases while aligning with REDD+ MRV requirements and international reporting frameworks such as Biennial Update Report (BUR) and National Communications (NATCOM).

Conclusions and Takeaways

The NFMS framework highlights that strengthening institutional coordination and data standardization is critical for NFMS effectiveness. Key gaps include irregular land cover updates, weak data integration, and limited technical capacity for advanced remote sensing. The proposed phased and adaptive approach allows gradual system improvement while leveraging existing investments. Practitioners can use this framework to design scalable and context-specific NFMS architectures. Future efforts should prioritize centralized data systems, capacity development in advanced geospatial techniques, and stronger integration with national climate reporting platforms.