News and Updates

  • 25 August 2017: Graduation On Friday 25th of August 2017, Kaja Kandare, defended her thesis on “Fusion of airborne laser scanning and hyperspectral data for predicting forest characteristics at different spatial scales”.The major ...
    Posted Sep 6, 2017, 4:18 AM by Alberto Mattedi
  • Scuola di Biochar 2017 ICHAR (Italian Biochar Association) is organizing the Second edition of the School of Biochar that will take place on next 12-13 October, in Florence.More information are available HERE
    Posted May 31, 2017, 6:34 AM by Alberto Mattedi
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http://www.fmach.it/eng/CRI


FoxLab is a new scientific initiative jointly operated by the National Research 
Council of Italy (CNR) and the Center for Research and Innovation of E. Mach Foundation (CRI-FEM). 
It builds on a strategic convergence of several CNR institutes dealing with biometeorology, ecosystem science, forest genetics, tree pathology, soil ecology 
and wood science and operates via a number of externally funded projects 
augmented by seed funding and core funding primarily from FEM. 
The long-term mission of FoxLab is to integrate knowledge, infrastructures and expertise of the different institutions associated, in order to pave the way for the creation of a major forest and wood science organization with national and 
international perspectives. 
At present, FoxLab coordinates several projects which are contributing to 
achieving longer-term strategic objectives.




Spin-off


Blucomb is a spin-off company that engineers and produces a new generation of pyrolitic stoves.

New papers published

Pullens, J.W.M., Bagnara, M., Silveyra González, R., Gianelle, D., Sottocornola, M., Heijmans, M.M.P.D., Kiely, G., Hartig, F., (2017) "The NUCOMBog R package for simulating vegetation, water, carbon and nitrogen dynamics in peatlands". Ecological Informatics. 40, 35–39.

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Kandare, K., Dalponte, M., Ørka, H.O., Frizzera, L., Næsset, E. (2017) "Prediction of species-specific volume using different inventory approaches by fusing airborne laser scanning and hyperspectral data," Remote Sensing, Vol. 9, April 2017, Issue 5.


For more information about our publications, see HERE

FoxLab - New perspectives on forest and wood science