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首页> 外文期刊>International journal of remote sensing >Estimation of tree lists from airborne laser scanning by combining single-tree and area-based methods
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Estimation of tree lists from airborne laser scanning by combining single-tree and area-based methods

机译：结合单树和基于区域的方法从机载激光扫描中估计树列表

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摘要

Individual tree crown segmentation from airborne laser scanning (ALS) data often fails to detect all trees depending on the forest structure. This paper presents a new method to produce tree lists consistent with unbiased estimates at area level. First, a tree list with height and diameter at breast height (DBH) was estimated from individual tree crown segmentation. Second, estimates at plot level were used to create a target distribution by using a k-nearest neighbour (k-NN) approach. The number of trees per field plot was rescaled with the estimated stem volume for the field plot. Finally, the initial tree list was calibrated using the estimated target distribution. The calibration improved the estimates of the distributions of tree height (error index (EI) from 109 to 96) and DBH (EI from 99 to 93) in the tree list. Thus, the new method could be used to estimate tree lists that are consistent with unbiased estimates from regression models at field plot level.
机译：根据机载激光扫描（ALS）数据进行的单个树冠分割通常无法检测到所有树木，具体取决于森林结构。本文提出了一种新的方法来生成与区域级别的无偏估计一致的树列表。首先，从单个树冠分割中估算出树高和胸径（DBH）直径的树列表。其次，通过使用k最近邻（k-NN）方法，使用地块级别的估计来创建目标分布。使用田间样地的估计茎量重新缩放每个田间样地的树木数量。最后，使用估计的目标分布来校准初始树列表。校准改进了树列表中树高（错误指数（EI）从109到96）和DBH（EI从99到93）的分布估计。因此，该新方法可用于估计与田间绘图级回归模型的无偏估计一致的树列表。

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  • 来源
    《International journal of remote sensing》 |2010年第5期|1175-1192|共18页
  • 作者

    EVA LINDBERG; JOHAN HOLMGREN; KENNETH OLOFSSON; JOERGEN WALLERMAN; HAKAN OLSSON;

  • 作者单位

    Department of Forest Resource Management, Swedish University of Agricultural Sciences, Umea SE-90183, Sweden;

    rnDepartment of Forest Resource Management, Swedish University of Agricultural Sciences, Umea SE-90183, Sweden;

    rnDepartment of Forest Resource Management, Swedish University of Agricultural Sciences, Umea SE-90183, Sweden;

    rnDepartment of Forest Resource Management, Swedish University of Agricultural Sciences, Umea SE-90183, Sweden;

    rnDepartment of Forest Resource Management, Swedish University of Agricultural Sciences, Umea SE-90183, Sweden;

  • 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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