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Estimation of Tree Heights from Seasonal Airborne LiDAR Data  

Jeon, Min-Cheol (건국대학교 신기술융합학과)
Jung, Tae-Woong (건국대학교 신기술융합학과)
Eo, Yang-Dam (건국대학교 신기술융합학과)
Kim, Jin-Kwang (중앙항업(주))
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.28, no.4, 2010 , pp. 441-448 More about this Journal
Abstract
This paper estimates the tree height using Airborne LiDAR that is obtained for each season to analyze its influence based on a canopyclosure and data fusion. The tree height was estimated by extracting the First Return (RF) from the tree and the Last Return (LR) from the surface of earth to assume each tree via image segmentation and to obtain the height of each tree. Each data on tree height that is collected from seasonal data and the result of tree height acquired from the data fusion were compared. A tree height measuring device was used to measure on site and its accuracy was compared. Also, its applicability on the result of fused data that is obtained through the Airborne LiDAR is examined. As a result of the experiment, the result of image segmentation for an individual tree was closer to the result of site study for 1 meter interval when compared to the 0.5 meter interval of point cloud. In case of the tree height, the application of fused data enables a closer site measurement result than the application of data for each season.
Keywords
Airborne LiDAR; Tree Height; Grid; Fusion;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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