Applying High-Resolution UAV-LiDAR and Quantitative Structure Modelling for Estimating Tree Attributes in a Crop-Livestock-Forest System

Applying High-Resolution UAV-LiDAR and Quantitative Structure Modelling for Estimating Tree Attributes in a Crop-Livestock-Forest System

Individual tree attributes, such as stem volume and biomass, are usually predicted by using traditional field-derived allometric models. However, these models are derived from data collected from small areas and lack a level of detail of tree components (e.g., stem, branches, and leaves). Remote sen...

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Bibliographic Details
Main Authors: Ana Paula Dalla Corte, Bruna Nascimento de Vasconcellos, Franciel Eduardo Rex, Carlos Roberto Sanquetta, Midhun Mohan, Carlos Alberto Silva, Carine Klauberg, Danilo Roberti Alves de Almeida, Angelica Maria Almeyda Zambrano, Jonathan William Trautenmüller, Rodrigo Vieira Leite, Cibele Hummel do Amaral, Hudson Franklin Pessoa Veras, Karla da Silva Rocha, Anibal de Moraes, Mauro Alessandro Karasinski, Matheus Niroh Inoue Sanquetta, Eben North Broadbent
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Land
Subjects:
quantitative structure modelling
laser scanning
tree modelling
Online Access:https://www.mdpi.com/2073-445X/11/4/507

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