• Phone FeatureAndroid客户端
  • Phone FeatureIOS客户端
  • Phone Feature微信小程序
  • Phone FeatureH5页面
  • 1
    返回

    Direct and automatic measurements of stem curve and volume using a high-resolution airborne laser scanning system

    10.1016/j.srs.2022.100050
    2022-06-01
    22
    OA
    PDF
    AI
    收藏
    分享
    原文链接
    查看原文
    摘要

    摘要

    En 中文
    Today, high-quality reference tree measurements, including the position, diameter, height and volume, are cumbersome and slow to carry out, but highly needed for forest inventories based on airborne laser scanning. Mobile laser scanning technologies hold the promise for collecting reference data for forest inventories with an extremely high efficiency. Perhaps, the most efficient approach for reference data collection would be to mount a high-resolution laser scanning system on board an airborne vehicle flying at a low altitude above the forest canopy since this would allow recording reference samples of individual trees with the speed of flight. To demonstrate the potential of this technology, we mounted an in-house developed HeliALS-DW laser scanning system on board a helicopter and collected point cloud data in a boreal forest on three test sites containing a total of 1469 trees. The obtained point clouds incorporated sufficiently many high-quality stem hits for estimating the stem curves and stem volumes of individual trees since the point clouds had a relatively high point density of 2200-3800 echoes/m2, and the scanner had been tilted by 15 degrees from the nadir to increase the possibility of recording stem hits. To automatically estimate the diameters at breast height (DBH) and stem curves of individual trees, we used algorithms designed to tolerate moderate drifts in the trajectory of the laser scanner. Furthermore, the stem volumes of individual trees were computed by using the estimated stem curves and tree heights without any allometric models. Using the proposed methods, we were able to estimate the stem curves with a root-mean-square error (RMSE) of 1.7-2.6 cm (6-9%) while detecting 42-71% of the trees. The RMSE of stem volume estimates was 0.1-0.15 m3 (12-21%). We also showed that the tree detection rate could be improved up to 87-96% for trees with a DBH exceeding 20 cm if slightly larger average errors for the stem attributes were allowed. Our results pave the way for using high-resolution airborne laser scanning for field reference data collection by conducting direct measurements of tree stems with a high efficiency.
    关键词:
    Airborne laser scanning
    Mobile laser scanning
    Handheld laser scanning
    Individual tree detection
    Stem curve
    AI总结

    AI总结

    对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

    期刊

    期刊

    Science of Remote Sensing 封面图
    IF:
    5.2
    论文数: 444
    被引数: 980
    学者

    学者

    E
    Eric Hyyppä
    H 指数:
    15
    论文数: 58
    被引数: 1.1K
    A
    Antero Kukko
    H 指数:
    52
    论文数: 281
    被引数: 1.1W
    K
    Kaartinen, Harri
    H 指数:
    0
    论文数: 1
    被引数: 0
    Y
    Yu, Xiaowei
    H 指数:
    0
    论文数: 33
    被引数: 0
    M
    Muhojoki, Jesse
    H 指数:
    0
    论文数: 4
    被引数: 0
    学者 查看更多内容
    机构

    机构

    T
    the national land survey of finland
    学者数:
    471
    论文数: 392
    被引数: 0
    引用论文

    引用论文

    被引论文

    被引论文