Forest resource interpretation at the individual tree level using a SLAM laser scanning system

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<p>Our previous research indicates that it is almost impossible to accurately detect the diameter at breast height (DBH) and trunk curvature of individual trees only using UAV laser data. However, both parameters are essential for forest volume estimation, harvest tree selection and log quality assessment in smart precision forestry. This study aims to solve this issue by combining UAV and ground-based laser data. The test site was located at a Hinoki (Chamaecyparis obtusa) plantation of 63 years old. The laser data were collected using a SLAM-based laser scanning system on May 25, 2018. The location, DBH and tree height of the individual trees in the plot were first interpreted from the point cloud data. Then, the trunk curvature of each tree was calculated based on the trunk locations at different heights with an interval of 10 cm. Finally, the detection accuracy was assessed using the field data collected in 2017.</p>

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詳細情報 詳細情報について

  • CRID
    1390564238089137280
  • NII論文ID
    130007645900
  • DOI
    10.11519/jfsc.130.0_86
  • 本文言語コード
    ja
  • データソース種別
    • JaLC
    • CiNii Articles
  • 抄録ライセンスフラグ
    使用不可

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