Journal of The Remote Sensing Society of Japan
Online ISSN : 1883-1184
Print ISSN : 0289-7911
ISSN-L : 0289-7911
Special Issue for Applications of Remote Sensing in Private Companies : Case Examinations
A New Approach to the Legendary Giant Tree Survey Using Airborne Laser Data on Yakushima
Yoshiko MAEDAKenichi HONDAKeita HIKICHIYoko HIROSE
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2020 Volume 40 Issue 3 Pages 135-140

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Abstract

According to legend, Yakushima still has the giant tree that larger than Jomon-sugi. To search for this legendary giant tree, we used aerial LiDAR data to estimate the distribution area of the giant tree. In the analysis using low-density LiDAR data, the factors related to the distribution of the giant tree were elevation, tree height, tree crown area, tree species and topography, and the giant trees were extracted from these elements. In the analysis using the high-density laser, the factors related to the distribution of giant cedar were set as the gap in the forest and the gentle slope of the valley. We extracted these elements from voxel analysis and estimated the distribution of giant trees.

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© 2020 The Remote Sensing Society of Japan
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