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dc.contributor.authorAllen, Benjamin James
dc.contributor.authorDalponte, Michele
dc.contributor.authorHietala, Ari Mikko
dc.contributor.authorØrka, Hans Ole
dc.contributor.authorNæsset, Erik
dc.contributor.authorGobakken, Terje
dc.identifier.citationSilva Fennica. 2022, 56 (2), .en_US
dc.description.abstractPathogenic wood decay fungi such as species of Heterobasidion are some of the most serious forest pathogens in Europe, causing rot of tree boles and loss of growth, with estimated economic losses of eight hundred million euros per year. In conifers with low resinous heartwood such as species of Picea and Abies, these fungi are commonly confined to heartwood and thus external infection signs on the bark or foliage of trees are normally absent. Consequently, determining the extent of disease presence in a forest stand with field surveys is not practical for guiding forest management decisions such as optimal rotation time. Remote sensing technologies such as airborne laser scanning and aerial imagery are already used to reduce the reliance on fieldwork in forest inventories. This study aimed to use remote sensing to detect rot in spruce (Picea abies L. Karst.) forests in Norway. An airborne hyperspectral imager provided information for classifying the presence or absence of rot in a single-tree-based framework. Ground reference data showing the presence of rot were collected by harvest machine operators during the harvest of forest stands. Random forest and support vector machine algorithms were used to classify the presence and absence of rot. Results indicate a 64% overall classification accuracy for presence-absence classification of rot, although additional work remains to make the classifications usable for practical forest management.en_US
dc.publisherFinnish Society of Forest Scienceen_US
dc.rightsNavngivelse-DelPåSammeVilkår 4.0 Internasjonal*
dc.titleDetection of Root, Butt, and Stem Rot presence in Norway spruce with hyperspectral imageryen_US
dc.title.alternativeDetection of Root, Butt, and Stem Rot presence in Norway spruce with hyperspectral imageryen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.rights.holder© 2021 by the authorsen_US
dc.source.journalSilva Fennicaen_US
dc.relation.projectNorges forskningsråd: 281140en_US

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Navngivelse-DelPåSammeVilkår 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse-DelPåSammeVilkår 4.0 Internasjonal