Analysing spatial structure of mixed forests using airborne LiDAR data: A casestudy in central Hokkaido
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- Jayathunga Sadeepa
- 東京大学
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- Owari Toshiaki
- 東京大学
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- Tsuyuki Satoshi
- 東京大学
抄録
Application of LiDAR data for forest structure analysis in broadleaved and conifer mixed forests has not been well established. The objective of the present study is to analyse the canopy structure of mixed forests by using airborne LiDAR data. We analysed the canopy structure using several indices derived from LiDAR point cloud; i.e. 95th percentile of height, mean height, standard deviation and coefficient of variation of canopy height, laser penetration proportion, and only fraction. The results revealed that 95th percentile heights, mean height and SD of height are closely related with the field measurements of stand basal area, mean height, mean DBH and SD of DBH. Therefore, it can be concluded that forest stand structure of mixed forests can be analysed accurately using airborne LiDAR data. However, further analysis of LiDAR data is required for a detailed understanding of forest structural complexity.
収録刊行物
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- 日本森林学会大会発表データベース
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日本森林学会大会発表データベース 126 (0), 208-, 2015
日本森林学会
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詳細情報 詳細情報について
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- CRID
- 1390001205710178688
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- NII論文ID
- 130005490622
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可