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Estimation of forest leaf area index using terrestrial laser scanning data and path length distribution model in open-canopy forests

Author:
Yiming Chen  Wuming Zhang  Ronghai Hu  Jianbo Qi  Jie Shao  Dan Li  Peng Wan  Chen Qiao  Aojie Shen  Guangjian Yan  


Journal:
Agricultural and Forest Meteorology


Issue Date:
2018


Abstract(summary):

Highlights • Path length distribution model is implemented on TLS data for LAI estimation. • Alpha hull is used for 3D crown modeling and calculation of path length. • The proposed TLS-extracted LAI compared well with the hemispherical photography. • Two simulated plots were built to provide more objective validation. Abstract Terrestrial Laser Scanning (TLS) is an active technology that can acquire the finest characteristics of canopy structure and plays an increasing role in estimating Leaf Area Index (LAI) in forest canopies. However, 3D information is not directly used in conventional TLS-based methods using the gap fraction theory. In addition, quantifying clumping effect within canopies is still a difficult task. In this paper, we presented a method to reduce clumping effect and estimate LAI using TLS data. Our recently proposed path length distribution model was applied to TLS data. Instead of converting 3D points to 2D image, the path length distribution can be extracted using the TLS-recorded 3D data and the crown models built with the alpha shapes algorithm. Two simulated scenes and one actual forest plot were utilized for validation. The results of the proposed method agree well with both the true LAI (in the simulated scenes) and the extracted PAI by the digital hemispherical photography (in the actual plot). This LAI estimation method using TLS and the path length distribution model provides a novel way for ground-based LAI measurements and shows its great potential.


Page:
323-323


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