Prediction of Individual Tree Diameter and Height to Crown Base Using Nonlinear Simultaneous Regression and Airborne LiDAR Data

Prediction of Individual Tree Diameter and Height to Crown Base Using Nonlinear Simultaneous Regression and Airborne LiDAR Data

The forest growth and yield models, which are used as important decision-support tools in forest management, are commonly based on the individual tree characteristics, such as diameter at breast height (DBH), crown ratio, and height to crown base (HCB). Taking direct measurements for DBH and HCB thr...

Full description

Bibliographic Details
Main Authors: Zhaohui Yang, Qingwang Liu, Peng Luo, Qiaolin Ye, Guangshuang Duan, Ram P. Sharma, Huiru Zhang, Guangxing Wang, Liyong Fu
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Remote Sensing
Subjects:
<i>Picea crassifolia</i> Kom
compatible equation
nonlinear seemingly unrelated regression
error-in-variable modeling
leave-one-out cross-validation
Online Access:https://www.mdpi.com/2072-4292/12/14/2238

Internet

https://www.mdpi.com/2072-4292/12/14/2238

Similar Items