TreeNet goes AI

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Reconstructing radial stem size changes of trees with machine learning by Mirko Luković (EMPA), Roman Zweifel (WSL), Guillaume Thiry (ETHZ), Ce Zhang (ETHZ) and Mark Schubert (EMPA) Publication in the Journal of the…

TreeNet in Swiss Radio SRF News

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TreeNet Nowcasts in use Reena Thelly from Swiss Radio SRF interviewed Katrin Meusburger (hydrologist) and Roman Zweifel (ecophysiologist), both WSL, on their assessment of how Swiss forests coped with the…

DeepT

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deepT – deep neural network algorithms to recognize species and their specific response patterns in stem growth data of TreeNet deepT investigated times series of stem radius changes with deep…

Publication in Nature Communications

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European heatwave led to stem dehydration but not to consistent growth reductions in forests. Drought and growth indicators in the year 2018 in comparison to the two years before The…

TreeNet Annual Meeting 2021

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TreeNet Annual Meeting 2021 The TreeNet community met on 18 November 2021 in Ittigen/Bern for its annual meeting. This time, the host was the Federal Office for the Environment FOEN. The…