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The reliability of tree crown position classification
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1991
Year
EngineeringForestryClassification MethodImage AnalysisData MiningPattern RecognitionUncertainty QuantificationForest Crown PositionDecision TreeDecision Tree LearningBiostatisticsBiodiversityMachine VisionGeographyKnowledge DiscoveryForest BiologyForest Resource ManagementCrown PositionCrown DefinitionsForest Inventory
Traditionally, forest crown position is classified into one of four categories: dominant, codominant, intermediate, and suppressed. The crown definitions have two primary components: a tree's stature relative to the stand's canopy level and the amount and type of light received by its crown. While this classification is meant primarily for even-aged, single level canopy stands, it is applied widely to uneven-aged stands and to those with multilevel canopies. The objective of this study was to examine the repeatability of estimating crown position in a variety of stands in the southern Appalachian spruce–fir forest. We found that crown position was difficult to similarly reclassify on the second visit in uneven-aged stands. Distinguishing a dominant from a codominant crown resulted in the lowest remeasurement proportion of agreement. We propose that the canopy position definitions be clarified and suggest an alternate system of crown classification.