Prediction of Individual Tree Diameter Using a Nonlinear Mixed-Effects Modeling Approach and Airborne LiDAR Data

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成果类型：

期刊论文

作者：

Fu, Liyong;Duan, Guangshuang;Ye, Qiaolin;Meng, Xiang;Luo, Peng;...

通讯作者：

Liu, Qingwang

作者机构：

[Fu, Liyong; Sun, Hua] Cent South Univ Forestry & Technol, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha 410004, Peoples R China.

[Duan, Guangshuang; Luo, Peng; Fu, Liyong; Liu, Qingwang; Meng, Xiang] Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China.

[Fu, Liyong; Meng, Xiang] Natl Forestry & Grassland Adm, Key Lab Forest Management & Growth Modeling, Beijing 100091, Peoples R China.

[Duan, Guangshuang] Xinyang Normal Univ, Coll Math & Stat, Xinyang 464000, Peoples R China.

[Ye, Qiaolin] Nanjing Forestry Univ, Coll Informat Sci & Technol, Nanjing 210037, Peoples R China.

通讯机构：

[Liu, Qingwang] C

Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China.

语种：

英文

关键词：

Picea crassifolia Kom;random effects;calibration;leave-one sub-sample plot-out cross- validation;prediction accuracy

期刊：

Remote Sensing

ISSN：

2072-4292

年：

2020

卷：

期：

页码：

1066

DOI：

10.3390/rs12071066

基金类别：

Thirteenth Five-year Plan Pioneering project of High Technology Plan of the National Department of Technology [2017YFC0503906]; Central Public-interest Scientific Institution Basal Research Fund [CAFYBB2019QD003]; Chinese National Natural Science FoundationsNational Natural Science Foundation of China [31570627, 31570628]; National Program on Key Basic Research Project (973 Program)National Basic Research Program of China [2007CB714400]

机构署名：

本校为第一机构

院系归属：

林学院

摘要：

Rapidly advancing airborne laser scanning technology has become greatly useful to estimate tree- and stand-level variables at a large scale using high spatial resolution data. Compared with that of ground measurements, the accuracy of the inferred information of diameter at breast height (DBH) from a remotely sensed database and the models developed with traditional regression approaches (e.g., ordinary least square regression) may not be sufficient. Thus, this regression approach is no longer appropriate to develop accurate models and predict ...

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Prediction of Individual Tree Diameter Using a Nonlinear Mixed-Effects Modeling Approach and Airborne LiDAR Data

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