Development of a System of Compatible Individual Tree Diameter and Aboveground Biomass Prediction Models Using Error-In-Variable Regression and Airborne LiDAR Data

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成果类型：

期刊论文

作者：

Fu, Liyong;Liu, Qingwang;Sun, Hua;Wang, Qiuyan;Li, Zengyuan;...

通讯作者：

Wang, Guangxing

作者机构：

[Wang, Qiuyan; Fu, Liyong; Chen, Erxue; Liu, Qingwang; Pang, Yong; Li, Zengyuan] Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China.

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

[Wang, Guangxing; Sun, Hua] Key Lab Forestry Remote Sensing Based Big Data &, Changsha 410004, Hunan, Peoples R China.

[Song, Xinyu] Xinyang Normal Univ, Coll Comp & Informat Tech, Xinyang 464000, Peoples R China.

[Wang, Guangxing] Southern Illinois Univ, Dept Geog & Environm Resources, Carbondale, IL 62901 USA.

通讯机构：

[Wang, Guangxing] C

[Wang, Guangxing] K

[Wang, Guangxing] S

Cent South Univ Forestry & Technol, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha 410004, Hunan, Peoples R China.

Key Lab Forestry Remote Sensing Based Big Data &, Changsha 410004, Hunan, Peoples R China.

语种：

英文

关键词：

airborne LiDAR;diameter at breast height;aboveground biomass;error-in-variable models;leave-one-out cross-validation

期刊：

Remote Sensing

ISSN：

2072-4292

年：

2018

卷：

期：

页码：

325

DOI：

10.3390/rs10020325

基金类别：

Chinese National Natural Science FoundationNational Natural Science Foundation of China (NSFC) [31470641, 31570628, 31300534]; Central Public interest Scientific Institution Basal Research Fund [CAFYBB2016SZ003]

机构署名：

本校为通讯机构

院系归属：

林学院

摘要：

Estimating individual tree diameters at breast height (DBH) from delineated crowns and tree heights on the basis of airborne light detection and ranging (LiDAR) data provides a good opportunity for large-scale forest inventory. Generally, ground-based measurements are more accurate, but LiDAR data and derived DBH values can be obtained over larger areas for a relatively smaller cost if a right procedure is developed. A nonlinear least squares (NLS) regression is not an appropriate approach to predict the aboveground biomass (AGB) of individual trees from the estimated DBH because both the resp...

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Development of a System of Compatible Individual Tree Diameter and Aboveground Biomass Prediction Models Using Error-In-Variable Regression and Airborne LiDAR Data

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