FORESTMONITORING
Canopy height and biomass for Europe

Datasets generated from the research article “The overlooked contribution of trees outside forests to tree cover and woody biomass across Europe”. Aggregated version of canopy cover and height map, and original biomass map at 30m resolution. The biomass map are calculated from the canopy cover and height maps using allometric equations.

Forest Inventory and Analysis (FIA)

The FIA program delivers current, consistent, and credible information about the status of the United States’ forests.

Global Ecosystem Dynamics Investigation

High resolution laser ranging of Earth’s forests and topography from the International Space Station (ISS)

International Co-operative Programme on Assessment and Monitoring of Air Pollution Effects on Forests (ICP Forests)

ICP Forests monitors forest condition at two monitoring intensity levels

Inventari Forestal Nacional d’Andorra

L’estiu del 2022 es va dur a terme el treball de camp per conèixer les principals variables silvo-dasomètriques que permeten la caracterització dels diferents tipus de boscos del Principat d’Andorra.

WHAT WE DO
  • Provide training and technical support for modelling activities to research groups at CREAF.
  • Develop and promote the use of process-based and empirical models aimed at predicting the response of terrestrial ecosystems to global change at multiple scales from the forest stand to the region.
  • Facilitate discovery of data sets or models relevant for ecosystem modelling activities.
  • Develop tools aimed at facilitating the interoperability between data sources and models, and between different models.
  • Develop and maintain interactive web applications for ecosystem data exploration and visualization.
CONTACT

Campus de Bellaterra (UAB) Edifici C

08193 Cerdanyola del Vallès

EcosystemModellingFacility@creaf.uab.cat

This action is part of the Severo Ochoa "ULandscape" funded in 2019 by the Agencia Estatal de Investigación of the Spanish Ministry of Science and Innovation to support Research Centres of Excellence.

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