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dc.contributor.authorZubkov, Peter
dc.contributor.authorSolberg, Svein
dc.contributor.authorMc Innes, Harold
dc.identifier.citationInternational Journal of Remote Sensing. 2023, 44 (16), 4963-4988.en_US
dc.description.abstractWe tested whether windthrow damage to Nordic conifer forest stands could be reliably detected as canopy height decrease between a pre-storm LiDAR (Light Detection and Ranging) digital surface model (DSM) and a photogrammetric DSM derived from a post-storm WorldView-3 stereo pair. The post-storm ground reference data consisted of field and unmanned aerial vehicle (UAV) observations of windthrow combined with no-damage areas collected by visual interpretation of the available very high resolution (VHR) satellite imagery. We trained and tested a thresholding model using canopy height change as the sole predictor. We undertook a two-step accuracy assessment by (1) running k-fold cross-validation on the ground reference dataset and examining the effect of the potential imperfections in the ground reference data, and (2) conducting rigorous accuracy assessment of the classified map of the study area using an extended set of VHR imagery. The thresholding model produced accurate windthrow maps in dense, productive forest stands with a sensitivity of 96%, specificity of 71%, and Matthews correlation coefficient (MCC) over 0.7. However, in sparse and high elevation stands, the classification accuracy was poor. Despite certain collection challenges during the winter months in the Nordic region, we consider VHR stereo satellite imagery to be a viable source of forest canopy height information and sufficiently accurate to map windthrow disturbance in forest stands of high to moderate density.en_US
dc.publisherInforma UK Limiteden_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.titleWindthrow damage detection in Nordic forests by 3D reconstruction of very high-resolution stereo optical satellite imageryen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.rights.holder© 2023 The Author(s)en_US
dc.source.journalInternational Journal of Remote Sensingen_US
dc.relation.projectNorges forskningsråd: 301745en_US

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