Estimation of Leaf Area Density of Zelkova Trees Using Airborne and Portable Scanning Lidar Systems
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- Nakai Yohei
- Graduate School of Agricultural and Life Sciences, The University of Tokyo
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- Hosoi Fumiki
- Graduate School of Agricultural and Life Sciences, The University of Tokyo
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- Akiyama Yukihide
- Aero Asahi Corporation
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- Kenji Omasa and
- Graduate School of Agricultural and Life Sciences, The University of Tokyo
Bibliographic Information
- Other Title
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- 航空機及び可搬型スキャニングライダーを用いたケヤキ群落の葉面積密度分布の推定
- コウクウキ オヨビ カハンガタ スキャニング ライダー オ モチイタ ケヤキ グンラク ノ ヨウメンセキ ミツド ブンプ ノ スイテイ
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Abstract
Leaf area density (LAD) profile of zelkova trees was estimated by combining helicopter-borne and portable lidar data based on voxel-based canopy profiling (VCP) method. In this VCP-method, 3-D point cloud data of the trees in the measurement plot were collected from airborne and portable scanning lidar. These data were registered into a single-point cloud date set with a common coordinate system, and then converted into a voxel-based 3-D model that reproduced the tree precisely, including within the canopy. This precise voxel model allowed the LAD of these trees to be computed by direct counting of the beam-contact frequency in each layer. Afterwards, linear interpolation was applied to the underestimated parts of the LAD profile. Root mean square error of the best LAD estimations was 0.20 m2m-3.
Journal
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- Eco-Engineering
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Eco-Engineering 21 (1), 9-14, 2009
The Society of Eco-Engineering
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Details 詳細情報について
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- CRID
- 1390001205189242112
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- NII Article ID
- 10024768196
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- NII Book ID
- AA12005685
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- ISSN
- 18804500
- 13470485
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- NDL BIB ID
- 10161230
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed