Predicting Height to Crown Base of <i>Larix olgensis</i> in Northeast China Using UAV-LiDAR Data and Nonlinear Mixed Effects Models

Predicting Height to Crown Base of <i>Larix olgensis</i> in Northeast China Using UAV-LiDAR Data and Nonlinear Mixed Effects Models

As a core content of forest management, the height to crown base (HCB) model can provide a theoretical basis for the study of forest growth and yield. In this study, 8364 trees of <i>Larix olgensis</i> within 118 sample plots from 11 sites were measured to establish a two-level nonlinear...

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Bibliographic Details
Main Authors: Xin Liu, Yuanshuo Hao, Faris Rafi Almay Widagdo, Longfei Xie, Lihu Dong, Fengri Li
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Remote Sensing
Subjects:
unmanned aerial vehicle LiDAR (UAV-LiDAR)
height to crown base (HCB)
two-level mixed-effects model
calibration
Online Access:https://www.mdpi.com/2072-4292/13/9/1834

Internet

https://www.mdpi.com/2072-4292/13/9/1834

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