Feb 5, 2026
This report describes the data delivered in D2.3, which consists of the second version of the forest geodatabase (“forest4model” datacube) and the updated EUFo database. This report provides a brief summary of the data layers included in D2.3 compared to D2.1 and D2.2, the methods applied, existing data sources used, and data curation efforts to date. Existing and planned validation steps of the data are also briefly described.
Feb 5, 2026
This report describes the European Forests Database (EUFo) and its methodology delivered in D2.2, which presents the collection of original sub-national information on forest area, harvest, biomass stock and increment from National Forest Inventories and other forest-related data sources. In addition, EUFo also includes a harmonized annual database on these same indicators based on a modelling approach to consistently assess Europe’s forest carbon status and change. Furthermore, the database contains data on international trade of wood products.
Jan 20, 2026
The third “Forest Talks” Webinar on Integrating EO Data in National Forest Monitoring and Assessment will take place on 23 February, 2026, 11:00 – 12:30h CET (online).
Dec 4, 2025
Vangi, Elia; Dalmonech, Daniela; et al.
Ecological Informatics (2025)
Nov 24, 2025
In recent years, the EU27 forest carbon sink—including forest land and harvested wood products—has shown a marked decline due to natural disturbances, climate change impacts, forest aging and changes in harvest intensity. This weakening sink poses a challenge for EU climate policy. To assess future trajectories of the forest sector, we developed a cross-scale, harmonized Baseline scenario within the ForestNavigator project, representing the development of forest emissions and removals under a continuation of current management
practices and recent wood demand trends, without the introduction of new policy measure after 2023. This Baseline integrates projections from national forest carbon models (CBM-CZ, CBM-IE, CBM-IT, Heureka) and the EU-level GLOBIOM–G4M–X modelling framework.