A1 Journal article (refereed)
Potential of using data assimilation to support forest planning (2017)


Saad, R., Eyvindson, K., Gong, P., Lämås, T., & Ståhl, G. (2017). Potential of using data assimilation to support forest planning. Canadian Journal of Forest Research, 47(5), 690-695. https://doi.org/10.1139/cjfr-2016-0439


JYU authors or editors


Publication details

All authors or editors: Saad, Rami; Eyvindson, Kyle; Gong, Peichen; Lämås, Tomas; Ståhl, Göran

Journal or series: Canadian Journal of Forest Research

ISSN: 0045-5067

eISSN: 1208-6037

Publication year: 2017

Volume: 47

Issue number: 5

Pages range: 690-695

Publisher: National Research Council of Canada

Publication country: Canada

Publication language: English

DOI: https://doi.org/10.1139/cjfr-2016-0439

Publication open access: Other way freely accessible online

Publication channel open access:

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/56904

Web address where publication is available: https://tspace.library.utoronto.ca/handle/1807/76842


Keywords: forest management planning; remote sensing; optimisation; Bayesian analysis; uncertainty

Free keywords: suboptimal loss


Contributing organizations


Ministry reporting: Yes

Reporting Year: 2017

JUFO rating: 3


Last updated on 2021-20-09 at 16:42