2021
DOI: 10.1016/j.jag.2021.102624
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Prediction of butt rot volume in Norway spruce forest stands using harvester, remotely sensed and environmental data

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Cited by 9 publications
(7 citation statements)
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“…Even if in the literature very few studies exist on the detection of Norway spruce trees affected by wood decay (i.e., [11,12]), some studies could be found that deal with similar problems on other tree species. In [43], WordView-2 data and ALS data were used to classify defoliation levels in Quercus ilex L. affected by wood decay.…”
Section: Discussionmentioning
confidence: 99%
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“…Even if in the literature very few studies exist on the detection of Norway spruce trees affected by wood decay (i.e., [11,12]), some studies could be found that deal with similar problems on other tree species. In [43], WordView-2 data and ALS data were used to classify defoliation levels in Quercus ilex L. affected by wood decay.…”
Section: Discussionmentioning
confidence: 99%
“…Nevertheless, some studies have shown that there is a difference in the crown density and structure between healthy trees and trees affected by wood decay [7,8], although this change is extremely difficult to note by visual inspection. Despite this, few studies have been carried out using remotely sensed data acquired from aerial or satellite platforms to detect wood decay [9][10][11][12]. Kankaanhuhta et al [9] obtained a detection rate of healthy trees between 72% and 90%, and of infected trees between 94% and 96% when using bi-temporal hyperspectral images with 1.6 m spatial resolution and with 30 spectral channels in a forest area in Finland.…”
Section: Introductionmentioning
confidence: 99%
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“…Three of the harvesters were capable of determining the position of the boom tip with sensors recording crane length and orientation, whereas one harvester only registered machine positions. The geographical locations of trees that were based on machine positions were stripe-patterned on the site and were post-processed by distributing the XY positions by adding a random value of 8 m to both X and Y coordinates (Räty et al 2021b). The positioning errors associated with the harvested trees are assumed to vary between 5 and 20 m.…”
Section: Harvester Datamentioning
confidence: 99%
“…Har-vester data are a potential alternative to traditional field data in forest inventories relying on ALS. In addition to the economic efficiency of data collection, harvester data are also attractive since these data include bucking information (Bollands ås et al 2013;Karjalainen et al 2019;Räty et al 2021b). Harvesters also enable the collection of data from large-area units that are too expensive to measure using traditional field measurements.…”
Section: Introductionmentioning
confidence: 99%