Individual Tree Attribute Estimation and Uniformity Assessment in Fast-Growing <i>Eucalyptus</i> spp. Forest Plantations Using Lidar and Linear Mixed-Effects Models

Individual Tree Attribute Estimation and Uniformity Assessment in Fast-Growing <i>Eucalyptus</i> spp. Forest Plantations Using Lidar and Linear Mixed-Effects Models

Fast-growing Eucalyptus spp. forest plantations and their resultant wood products are economically important and may provide a low-cost means to sequester carbon for greenhouse gas reduction. The development of advanced and optimized frameworks for estimating forest plantation attributes from lidar...

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Bibliographic Details
Main Authors: Rodrigo Vieira Leite, Carlos Alberto Silva, Midhun Mohan, Adrián Cardil, Danilo Roberti Alves de Almeida, Samuel de Pádua Chaves e Carvalho, Wan Shafrina Wan Mohd Jaafar, Juan Guerra Hernández, Aaron Weiskittel, Andrew T. Hudak, Eben N. Broadbent, Gabriel Prata, Ruben Valbuena, Hélio Garcia Leite, Mariana Futia Taquetti, Alvaro Augusto Vieira Soares, Henrique Ferraço Scolforo, Cibele Hummel do Amaral, Ana Paula Dalla Corte, Carine Klauberg
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Remote Sensing
Subjects:
lidar
tree level modeling
aboveground carbon
remote sensing
linear mixed-effect models
Online Access:https://www.mdpi.com/2072-4292/12/21/3599

Internet

https://www.mdpi.com/2072-4292/12/21/3599

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