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

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 a...

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Veröffentlicht in:	Remote sensing (Basel, Switzerland) Jg. 10; H. 2; S. 325
Hauptverfasser:	Fu, Liyong, Liu, Qingwang, Sun, Hua, Wang, Qiuyan, Li, Zengyuan, Chen, Erxue, Pang, Yong, Song, Xinyu, Wang, Guangxing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.02.2018
Schlagworte:	Airborne sensing Biomass Compatibility Data processing Estimation Lidar Mathematical models Modelling Parameter estimation Prediction models Regression analysis Statistical methods Trees Uncertainty analysis
ISSN:	2072-4292, 2072-4292
Online-Zugang:	Volltext
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