Publication | Open Access
MASSIVE-SCALE TREE MODELLING FROM TLS DATA
134
Citations
11
References
2015
Year
Environmental MonitoringEngineeringForest BiometricsForestryForest ProductivityPoint CloudForest PlotEarth ScienceData ScienceBiogeographyCalibrationManagementData IntegrationTree AutomatonData ManagementTree LanguageGeographyAutomatic ExtractionComputer ScienceForest Health MonitoringDeforestationForest BiomassComputational ScienceRemote SensingForest InventoryComputer ModelingData Modeling
Abstract. This paper presents a method for reconstructing automatically the quantitative structure model of every tree in a forest plot from terrestrial laser scanner data. A new feature is the automatic extraction of individual trees from the point cloud. The method is tested with a 30-m diameter English oak plot and a 80-m diameter Australian eucalyptus plot. For the oak plot the total biomass was overestimated by about 17 %, when compared to allometry (N = 15), and the modelling time was about 100 min with a laptop. For the eucalyptus plot the total biomass was overestimated by about 8.5 %, when compared to a destructive reference (N = 27), and the modelling time was about 160 min. The method provides accurate and fast tree modelling abilities for, e.g., biomass estimation and ground truth data for airborne measurements at a massive ground scale.
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