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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Vydané v:	Forest ecology and management Ročník 474; s. 118323
Hlavní autori:	Yang, Zhaohui, Liu, Qingwang, Luo, Peng, Ye, Qiaolin, Sharma, Ram P., Duan, Guangshuang, Zhang, Huiru, Fu, Liyong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 15.10.2020
Predmet:	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
On-line prístup:	Získať plný text
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