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Macfarlane, C., Hoffman, M., Eamus, D., Kerp, N., Higginson, S., McMurtrie, R. and Adams, M. (2007) Estimation of Leaf Area Index in Eucalypt Forest Using Digital Photography. Agricultural and Forest Meteorology, 143, 176-188.
https://doi.org/10.1016/j.agrformet.2006.10.013

has been cited by the following article:

• TITLE: Study on the LAI Single Tree Model Based on Terrestrial Laser Scanning

  AUTHORS: Zhaohua Pan, Genshen Fu

  KEYWORDS: Leaf Area Index, Terrestrial Laser Scanning, Branch-Leaf Separation, Point Cloud Voxelization

  JOURNAL NAME: Open Journal of Geology, Vol.13 No.5, May 31, 2023

  ABSTRACT: Leaf area index (LAI) is a key parameter for studying global terrestrial ecology and environment and has great ecological significance. How to accurately measure and calculate structural parameters of trees has become an urgent matter. This paper reports the use of terrestrial laser scanning (TLS) as a measurement tool to achieve accurate LAI estimation through point cloud preprocessing measures, the LeWos algorithm, and voxel methods. The accuracy and feasibility of this indirect measurement method were explored. It is found that the single wood structure parameters extracted from TLS have a good linear relationship with manual measurement, and the extraction errors meet the requirements of real-scene conversion. The study also found when the voxel size is consistent with the minimum distance of the point cloud set by TLS instrument, it has a strong correlation with the measured value of canopy analyser. These results lay the foundation for conveniently and quickly obtaining structural parameters of trees, tree growth state detection, and canopy ecological benefit assessment.