Estimation of Forest Parameter and Biomass for Individual Pine Trees Using Airborne LiDAR
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    Abstract:

    The LiDAR point cloud and a survey of seven plots Larix olgensis plantation in Changbai Mountain area of Heilongjiang were utilized as the experimental data. A method combined crow height model and 3-D point cloud segmentation was used to identify individual tree. The forest parameters and aboveground biomass based were estimated by using stepwise regression analysis. Experimental results showed that the forest parameters estimated by LiDAR had good correlation with field data. The coefficient of determination between prediction values and observed values of the tree height, crown diameter, DBH and aboveground biomass were 0.8732, 0.6335, 0.7903 and 0.7992, respectively. The average fitting accuracy was 88.34%, 83.46%, 85.11% and 86.19%, respectively. The average biomass of young, half mature, near mature and mature Larix olgensis were 25.12, 94.08, 117.74 and 279.33kg, respectively.

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  • Online: September 11,2013
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