Nonlinear mixed-effects height to crown base model based on both airborne LiDAR and field datasets for Picea crassifolia Kom trees in northwest China

•A mixed-effects height to crown base model (hcb) was developed using LiDAR and field datasets.•LiDAR-derived tree height, crown width and dominant height significantly contributed to the model.•The developed nonlinear mixed effects hcb model showed the best prediction performance.•Five medium trees...

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Bibliographic Details
Published in:	Forest ecology and management Vol. 474; p. 118323
Main Authors:	Yang, Zhaohui, Liu, Qingwang, Luo, Peng, Ye, Qiaolin, Sharma, Ram P., Duan, Guangshuang, Zhang, Huiru, Fu, Liyong
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 15.10.2020
Subjects:	administrative management Calibration China conservation areas data collection EBLUP farms forest growth forests Heteroscedasticity inventories lidar nonlinear mixed effects models Picea crassifolia prediction Random effects Subject-specific prediction tree and stand measurements tree height China EBLUP Subject-specific prediction Random effects Calibration Heteroscedasticity
ISSN:	0378-1127, 1872-7042
Online Access:	Get full text
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