PathFinder Portal

Author: Ranya

Gross Primary Production (GPPx) maps

GPPx is a โ€œgeo-centricโ€ indicator of site productivity potential in European forests.  It is based on an algorithm that systematically combines measurements from the Sentinel-2 HR-VPP annual product bundle (Smets et al. 2024) with the PathFinder forest aboveground biomass map (Miettinen et al. 2025), local climatic information (CHELSA v2.1) and an ecosystem light use efficiency model founded on optimality principles (i.e. the P-model; Wang et al. 2017; Stocker et al. 2020) to isolate and remove the obfuscating effects of forest structure (management- and age-related) on site productivity.  GPPx may be considered analogous to […]

Forest attribute maps

The PathFinder forest attribute map collection includes maps for 18 forest attributes for the year 2020 in 10 m spatial resolution and European-wide coverage. The attributes include Growing stock volume (Vol), Above ground biomass (AGB), Conifer proportion (P_Con), Quadratic mean diameter (DBH), Basal area (BA), Height (H), Gross annual increment (GAI), Net annual increment (NAI) […]

Forest attribute estimates

The forest inventory dataset provides polygon-level estimates of forest attributes for the PathFinder study regions in geopackage format. Estimates are derived from National Forest Inventory (NFI) data contributed by consortium member countries and are generated using the nFIESTA estimation framework, further developed and extended within the PathFinder project. The dataset represents estimates for the reference […]

Deadwood map

The deadwood map is a spatially explicit projection of deadwood stocks in Mg/ha in 10 m spatial resolution and European-wide coverage. The maps were derived using National Forest Inventory data stored in nFIESTA repository. We used the deadwood stocks as the response and, as predictors, the quadratic diameter of trees on each plot, living aboveground […]

CLUMondo forecasts 2020-2100

The CLUMondo map collection provides spatially explicit projections of diverse land systems across Europe from 2020 to 2100 at a 5-year temporal resolution and a 1km spatial resolution. The initial land system classification is derived from Sandstrรถm et al. (2023). Within these land systems, five forest management intensity classes are distinguished based on Scherpenhuijzen et […]

ForestTalks webinar explores integrating Earth observation and national forest inventories across Europe.

The latest edition of the ForestTalks webinar series, jointly hosted by the ForestNavigator, ForestPaths and PathFinder projects, took place on 23 February 2026 and brought together researchers, modellers, and national reporting experts to discuss advances in Earth observation (EO) for forest monitoring and greenhouse gas inventory support across Europe. The webinar included presentations from Martin […]

๐—ฃ๐—ฎ๐˜๐—ต๐—™๐—ถ๐—ป๐—ฑ๐—ฒ๐—ฟ ๐—ง๐—ฎ๐—ธ๐—ฒ๐˜€ ๐˜๐—ต๐—ฒ ๐—ฆ๐˜๐—ฎ๐—ด๐—ฒ ๐—ฎ๐˜ ๐˜๐—ต๐—ฒ ๐—ช๐—ถ๐—ป๐˜๐—ฒ๐—ฟ ๐—ฆ๐—ฎ๐˜๐—ฒ๐—น๐—น๐—ถ๐˜๐—ฒ ๐—ช๐—ผ๐—ฟ๐—ธ๐˜€๐—ต๐—ผ๐—ฝ ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒ.

About a month ago, our partner Jukka Miettinen from VTT Technical Research Centre of Finland represented PathFinder at the 8th edition of the Winter Satellite Workshop, held on January 20โ€“23 in Espoo, Finland , one of the leading New Space events in the Nordic and Baltic region, gathering nearly 2,000 participants. During the 21/01 poster […]

PathFinder regional stakeholders workshops

Co-creating the future of European forest policy with local stakeholders As part of the EU PathFinder project, ELO and the University of Freiburg organised five regional workshops in Madrid, Vienna, Helsinki, Ljubljana, and Brussels to gather stakeholder perspectives on EU forest policy. Across the five workshops, 57 participants representing 38 organisations contributed to discussions on […]

Our Scientific Footprint in 2025

We are taking a major step forward in forest monitoring! With D2.2: Description of Models and Estimators, we have developed the first high-resolution…

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List of cookies that our website uses

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