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