Estimation of the leaf area density distribution of individual trees using high-resolution and multi-return airborne LiDAR data
Haruki Oshio, Takashi Asawa, Akira Hoyano, Satoshi Miyasaka

TL;DR
This paper presents a novel airborne LiDAR-based method for accurately estimating the leaf area density distribution of individual trees by utilizing last and intermediate laser pulses, improving inner crown foliage mapping.
Contribution
The study introduces a new LAD estimation method that leverages additional LiDAR pulses, enhancing accuracy over previous contact frequency-based approaches.
Findings
Using last and intermediate pulses improves LAD estimation accuracy.
Optimal voxel size for LAD distribution is 1m x 1m x 0.5m.
Method validated with terrestrial LiDAR data on Z. serrata.
Abstract
The three-dimensional structures of individual trees are important pieces of information necessary to understand the effect of trees on urban environments. In this study, we demonstrate a method for estimating the leaf area density (LAD) distribution of individual trees using high-resolution airborne LiDAR. This method improves upon the previously proposed method, which calculates LAD based on the contact frequency between the laser beams and leaves by tracing the paths of the laser beams. The proposed method in this study exploits the last and intermediate pulses in addition to the first and single pulses to capture the foliage distribution in the inner part of the crown. Each laser beam is traced from a point derived by the last pulse to the point derived by the first or intermediate pulse that is recorded immediately before the last pulse. The laser beam interceptions and…
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