Accuracy of tree height estimation with model extracted from artificial neural network and new linear and nonlinear models
Daniel Dantas,
Luiz Otávio Rodrigues Pinto,
Talles Hudson Souza Lacerda
et al.
Abstract:Variable height is commonly used as an input attribute to estimate other variables. Thus, to ensure less susceptibility to errors, it is necessary to obtain the variable height correctly. In addition to DBH, hypsometric relationships are influenced by several factors, such as site, age, genetic variation, and silvicultural practices. The inclusion of these factors in hypsometric models can lead to a gain in the quality of the estimates and in the biological realism. The objective of this study was to propose a… Show more
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