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...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Dantas,Daniel, Rodrigues Pinto,Luiz Otávio, de Castro Nunes Santos Terra,Marcela, Calegario,Natalino, Romarco de Oliveira,Marcio Leles
Lenguaje:English
Publicado: Universidad Austral de Chile, Facultad de Ciencias Forestales 2020
Materias:
artificial neural network
machine learning
stem volume
Schumacher and Hall
Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-92002020000300353
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!

Internet

http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-92002020000300353

Ejemplares similares