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Models of trees grow up through the unfinished frame.
These too rely on building 3-D models of trees and the fruit growing on them.
The presented data will allow researchers to build more realistic biomechanical models of trees.
Terrestrial laser scanning data can be used to produce spatially accurate 3D models of trees for accurately determining log yields and stand values (Murphy 2008), species differentiation (Puttonen et al. 2010), and even canopy gap fraction and leaf area index assessment (Jupp et al. 2009).
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Models of tree growth, recruitment and survival represent the overwhelming result of traditional observational studies.
Empirical models of tree growth are far more widely used within the forest industry.
Predictive mixed-effects models of tree, bole, and log MOE were developed using data from 139 trees.
Spatial information held in geographic information systems (GIS) is also useful for developing models of tree growth.
These extensive networks have provided the empirical base for models of tree taper and volume, site index, and tree and stand increment and mortality.
To achieve our aim of quantifying the accuracy of MOE estimates, we first developed predictive linear mixed-effects models of tree, bole, and log MOE.
This sample size enabled models of tree height vs LiDAR height to be estimated with a relative root mean squared error (RMSE) of 5%.
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