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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing. >Characterizing Vegetation Canopy Structure Using Airborne Remote Sensing Data
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Characterizing Vegetation Canopy Structure Using Airborne Remote Sensing Data

机译:利用机载遥感数据表征植被冠层结构

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摘要

Vegetation canopy structure plays an important role in the partitioning of incident solar radiation, photosynthesis, transpiration, and other scalar fluxes. The vertical foliage distribution of the plant canopy is represented by leaf area density (LAD), which is defined as the one-sided leaf area per unit volume. Airborne light detection and ranging (LiDAR) offers the possibility to characterize the 3-D variation of LAD over space, which still remains a challenge to estimate. Moreover, the low density of point cloud data generally offered by airborne LiDAR may be insufficient for accurate LAD estimation in dense overlapping forest canopies. We develop a method for the estimation of the LAD profile using a combination of airborne LiDAR and hyperspectral data using a feature-based data fusion approach. After identifying vegetation species using hyperspectral data, point cloud LiDAR data is used in a “tree-shaped” voxel approach to characterize the LAD of trees in a riparian forest setting. We also propose a set of relationships on simple geometry of overlap for the construction of tree shaped voxels. In a forest setting with overlapping canopies, the results indicate that the tree-shaped voxels are better able to attribute the LAD to the upper and middle parts of the overall canopy as well as individual tall and short trees compared with traditional cylindrical voxels.
机译:植被冠层结构在入射太阳辐射,光合作用,蒸腾作用和其他标量通量的分配中起着重要作用。植物冠层的垂直叶面分布用叶面积密度(LAD)表示,其定义为每单位体积的单侧叶面积。机载光检测和测距(LiDAR)提供了表征LAD在空间上的3-D变化的可能性,这仍然是估计的挑战。此外,机载LiDAR通常提供的低密度点云数据可能不足以在密集的重叠林冠层中进行准确的LAD估算。我们使用基于特征的数据融合方法,结合机载LiDAR和高光谱数据,开发了一种LAD轮廓估计方法。在使用高光谱数据识别植被物种之后,点云LiDAR数据用于“树形”体素方法,以表征河岸森林环境中树木的LAD。我们还提出了一组关于重叠的简单几何形状的关系,用于构建树状体素。结果表明,在树冠重叠的森林环境中,树形体素与传统的圆柱体素相比,能够更好地将LAD归因于整个冠层的上部和中部,以及单独的高矮树木。

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  • 作者单位

    Department of Civil and Environmental Engineering, University of Illinois at Urbana–Champaign, Urbana, IL, USA;

    Department of Civil and Environmental Engineering, University of Illinois at Urbana–Champaign, Urbana, IL, USA;

    Department of Civil and Environmental Engineering, University of Illinois at Urbana–Champaign, Urbana, IL, USA;

    Department of Civil and Environmental Engineering, University of Illinois at Urbana–Champaign, Urbana, IL, USA;

    Department of Civil and Environmental Engineering, University of Illinois at Urbana–Champaign, Urbana, IL, USA;

    Department of Civil and Environmental Engineering, University of Illinois at Urbana–Champaign, Urbana, IL, USA;

    Department of Civil and Environmental Engineering, University of Illinois at Urbana–Champaign, Urbana, IL, USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Vegetation; Laser radar; Hyperspectral imaging; Three-dimensional displays; Vegetation mapping; Estimation;

    机译:植被;激光雷达;高光谱成像;三维显示;植被映射;估算;

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