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 editorsSaad, Rami; Eyvindson, Kyle; Gong, Peichen; Lämås, Tomas; Ståhl, Göran

Journal or seriesCanadian Journal of Forest Research



Publication year2017


Issue number5

Pages range690-695

PublisherNational Research Council of Canada

Publication countryCanada

Publication languageEnglish


Publication open accessOther 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 availablehttps://tspace.library.utoronto.ca/handle/1807/76842

Keywordsforest management planningremote sensingoptimisationBayesian analysisuncertainty

Free keywordssuboptimal loss

Contributing organizations

Ministry reportingYes

Reporting Year2017

JUFO rating3

Last updated on 2024-11-05 at 17:06