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Gewählte Publikation:

Pucher, C; Neumann, M; Hasenauer, H.
(2022): An Improved Forest Structure Data Set for Europe
REMOTE SENS-BASEL. 2022; 14(2), 395 FullText FullText_BOKU

Abstract:
Today, European forests face many challenges but also offer opportunities, such as climate change mitigation, provision of renewable resources, energy and other ecosystem services. Large-scale analyses to assess these opportunities are hindered by the lack of a consistent, spatial and accessible forest structure data. This study presents a freely available pan-European forest structure data set. Building on our previous work, we used data from six additional countries and consider now ten key forest stand variables. Harmonized inventory data from 16 European countries were used in combination with remote sensing data and a gap-filling algorithm to produce this consistent and comparable forest structure data set across European forests. We showed how land cover data can be used to scale inventory data to a higher resolution which in turn ensures a consistent data structure across sub-regional, country and European forest assessments. Cross validation and comparison with published country statistics of the Food and Agriculture Organization (FAO) indicate that the chosen methodology is able to produce robust and accurate forest structure data across Europe, even for areas where no inventory data were available.
Autor*innen der BOKU Wien:
Hasenauer Hubert
Neumann Mathias
Pucher Christoph
BOKU Gendermonitor:


Find related publications in this database (Keywords)
modelling
bioeconomy
carbon sequestration
biodiversity
forest management
conservation
national forest inventory
monitoring


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