Total tree height predictions via parametric and artificial neural network modeling approaches

Total tree height predictions via parametric and artificial neural network modeling approaches

Height-diameter relationships are of critical importance in tree and stand volume estimation. Stand description, site quality determination and appropriate forest management decisions originate from reliable stem height predictions. In this work, the predictive performances of height-diameter models...

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Bibliographic Details
Main Authors: Karatepe Y, Diamantopoulou MJ, Özçelik R, Sürücü Z
Format: Article
Language:English
Published: Italian Society of Silviculture and Forest Ecology (SISEF) 2022-04-01
Series:iForest - Biogeosciences and Forestry
Subjects:
Tree Height Model Prediction
Generalized Models
Mixed-Effects Models
Levenberg-Marquardt Algorithm
Resilient Propagation
Online Access:https://iforest.sisef.org/contents/?id=ifor3990-015

Internet

https://iforest.sisef.org/contents/?id=ifor3990-015

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