Reduction of sampling intensity in forest inventories to estimate the total height of eucalyptus trees

Reduction of sampling intensity in forest inventories to estimate the total height of eucalyptus trees

SUMMARY: This study aimed at evaluating the performance of different models based on Artificial neural networks (ANN) to estimate the total height of eucalyptus trees (Eucalyptus spp.), reducing the number of measurements in the field. Forty-eight ANN were tested, different from each other by the nu...

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Bibliographic Details
Main Authors: Dantas,Daniel, Rodrigues Pinto,Luiz Otávio, de Castro Nunes Santos Terra,Marcela, Calegario,Natalino, Romarco de Oliveira,Marcio Leles
Language:English
Published: Universidad Austral de Chile, Facultad de Ciencias Forestales 2020
Subjects:
artificial neural network
machine learning
stem volume
Schumacher and Hall
Online Access:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-92002020000300353
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