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首页> 外文期刊>International journal of remote sensing >LiDAR mapping of canopy gaps in continuous cover forests: A comparison of canopy height model and point cloud based techniques
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LiDAR mapping of canopy gaps in continuous cover forests: A comparison of canopy height model and point cloud based techniques

机译：连续覆盖森林林冠间隙的LiDAR映射：林冠高度模型和基于点云的技术的比较

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摘要

In continuous cover forest systems, canopy gaps are created by management activities with an aim of encouraging natural regeneration and of increasing structural heterogeneity. Light Detection and Ranging (LiDAR) may provide a more accurate means to assess gap distribution than ground survey, allowing more effective monitoring. This paper presents a new approach to gap delineation, based on identifying gaps directly from the point cloud and avoiding the need for interpolation of returns to a canopy height model (CHM). Areas of canopy are identified through local maxima identification, filtering and clustering of the point cloud, with gaps subsequently delineated in a GIS environment.rnWhen compared to field surveyed gap outlines, the algorithm has an overall accuracy of 88% for data with a high LiDAR point density (11.4 returns per m~2) and accuracy of up to 77% for lower density data (1.2 returns per m~2). The method provides an increase in overall and Producer's accuracy of 4 and 8% respectively, over a method based on the use of a CHM. The estimation of total gap area is improved by, on average, 16% over the CHM based approach. Results indicate that LiDAR data can be used accurately to delineate gaps in managed forests, potentially allowing more accurate and spatially explicit modelling of understorey light conditions.
机译：在连续覆盖的森林系统中，旨在鼓励自然更新和增加结构异质性的管理活动造成了林冠间隙。与地面勘测相比，光探测与测距（LiDAR）可以提供一种更准确的方法来评估间隙分布，从而实现更有效的监控。本文基于直接从点云中识别间隙并避免了对冠层高度模型（CHM）的返回值进行插值的需求，提出了一种间隙描述的新方法。通过局部最大值识别，点云的聚类和聚类来识别冠层区域，随后在GIS环境中描述间隙。rn与实地调查的间隙轮廓相比，该算法对LiDAR较高的数据的整体精度为88％点密度（每m〜2 11.4个返回）和较低密度数据（每m〜2 1.2个返回）的精度高达77％。与基于CHM的方法相比，该方法的总体准确性和生产者的准确性分别提高了4％和8％。与基于CHM的方法相比，总间隙面积的估计平均提高了16％。结果表明，可以将LiDAR数据准确地用于描述管理林中的空隙，从而潜在地允许对林下光照条件进行更准确和空间明确的建模。

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  • 来源
    《International journal of remote sensing》 |2010年第5期|1193-1211|共19页
  • 作者

    R. GAULTON; T. J. MALTHUS;

  • 作者单位

    Department of Forest Resources Management, 2424 Main Mall, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada;

    rnThe School of GeoSciences, The University of Edinburgh, Drummond Street,Edinburgh, EH8 9XP, UK;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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