Predicting Tree-Level Diameter and Volume for Radiata Pine Using UAV LiDAR-Derived Metrics Across a National Trial Series in New Zealand

Predicting Tree-Level Diameter and Volume for Radiata Pine Using UAV LiDAR-Derived Metrics Across a National Trial Series in New Zealand

The rapid development of UAV-LiDAR and data processing capabilities is likely to enable accurate individual-tree inventories in the near future, requiring few on-ground calibration measurements. Using data collected from 20 radiata pine trials dispersed across New Zealand, the objective of this stud...

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Bibliographic Details
Main Authors: Michael S. Watt, Sadeepa Jayathunga, Midhun Mohan, Robin J. L. Hartley, Nicolò Camarretta, Benjamin S. C. Steer, Weichen Zhang, Mitch Bryson
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Remote Sensing
Subjects:
DBH
diameter at breast height
forest inventory
individual tree modelling
LiDAR
L1 sensor
Online Access:https://www.mdpi.com/2072-4292/17/8/1456
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