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Maps

ForestPaths will make use of remote sensing and other geospatial data to improve the monitoring of European forests, as well as to improve forest ecosystem modelling. It will use remote sensing data from COPERNICUS, which utilises satellite imagery from the European Space Agency. These will be complemented by data from NASA's Landsat archives.

Pan-European forest disturbance maps

D2.1
Next generation European forest disturbance map

Existing disturbance maps lack proper attribution of disturbances – whether they were caused by wind, fire, bark beetle or human action. ForestPaths has produced annual, wall-to-wall European forest disturbance maps for 1984-2023 with innovative algorithms that allow the attribution of disturbances to their underlying disturbance agent.

Read more

Pan-European forest composition and structure maps

D2.2
European forest composition and structure maps

ForestPaths produced consistent and fine-scale maps of forest composition (e.g., dominant tree species, number of species) and structure (e.g., height, diameter, density, biomass). The spatial mapping of forest composition and structure was achieved by combining satellite with field-based data and other datasets. More information about the European forest composition and structure maps will become available in March 2025.

High conservation value forests in Europe

D2.4
High conservation value forests in Europe

ForestPaths will map potential high conservation value forests by identifying forest areas subject to limited harvesting in the past four decades which have high biomass carbon stocks, as well as biological and structural diversity.

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  • CANOPY platform
  • CBS management options
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  • Maps
  • Models
  • Policy pathways
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  • Demo cases
  • Policy Engagement Forum
  • Policy labs
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Project coordinator
Dr Hans Verkerk
European Forest Institute
forestpaths[at]efi.int

ForestPaths (Co-designing Holistic Forest-based Policy Pathways for Climate Change Mitigation) receives funding from the European Union's Horizon Europe Research and Innovation Programme (ID No 101056755), as well as from the United Kingdom Research and Innovation Council (UKRI).

Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Commission. Neither the EU nor the EC can be held responsible for them.

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