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首页> 外文期刊>International journal of remote sensing >Uncertainty within satellite LiDAR estimations of vegetation and topography
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Uncertainty within satellite LiDAR estimations of vegetation and topography

机译：卫星LiDAR估算植被和地形的不确定性

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摘要

This paper demonstrates the ability to identify representative ground elevation and vegetation height estimates within the Ice, Cloud and land Elevation Satellite/ Geoscience Laser Altimeter System (ICESat/GLAS) waveforms for an area of mixed vegetation and varied topography. Estimating vegetation height within large-footprint Light Detection and Ranging (LiDAR) waveforms relies on the ability to estimate the uppermost canopy surface (signal beginning) and an elevation representing the ground surface, both of which are influenced by vegetation properties and topographic slope. We examined sources of uncertainty for vegetation height estimation from ICESat/GLAS data using airborne LiDAR data, field measurements and the FLIGHT radiative transfer model. In comparison with an independent 10-m resolution digital terrain model (DTM), a method using Gaussian decomposition of the satellite waveform produced a mean bias of -0.10 m when estimating ground elevation. A second method of estimating vegetation height using waveform extent and a terrain index effectively removed slope as an error source but produced a greater ground surface offset (-0.83 m). The two methods of estimating vegetation height compared well with airborne LiDAR estimates (correlation coefficient (R~2) = 0.68, root mean square error (RMSE) = 4.4 m and R~2 = 0.61, RMSE = 4.9 m, respectively). However, the complex interplay of the structural and optical properties of the intercepted vegetation and slope requires further understanding. A tool such as FLIGHT provides a useful means to explore the sensitivity of the waveform to both vegetation properties and topographic slope.
机译：本文展示了在混合植被和地形变化的地区，在冰，云和陆地高程卫星/地球科学激光测高仪系统（ICESat / GLAS）波形中识别代表性地面海拔和植被高度估计的能力。在大面积光检测和测距（LiDAR）波形中估算植被高度取决于估算最高树冠表面（信号起点）和代表地面的高程的能力，这两者均受植被特性和地形坡度的影响。我们使用机载LiDAR数据，野外测量和FLIGHT辐射传输模型，从ICESat / GLAS数据检查了植被高度估计的不确定性来源。与独立的10 m分辨率数字地形模型（DTM）相比，使用高斯分解卫星波形的方法在估算地面标高时产生了-0.10 m的平均偏差。使用波形范围和地形指数估算植被高度的第二种方法有效地去除了坡度作为误差源，但产生了更大的地面偏移（-0.83 m）。两种估算植被高度的方法与机载LiDAR估算值比较好（相关系数（R〜2）= 0.68，均方根误差（RMSE）= 4.4 m，R〜2 = 0.61，RMSE = 4.9 m）。但是，所截获的植被和斜坡的结构和光学特性之间的复杂相互作用需要进一步了解。诸如FLIGHT之类的工具提供了一种有用的手段，可以探索波形对植被属性和地形坡度的敏感性。

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  • 来源
    《International journal of remote sensing》 |2010年第5期|1325-1342|共18页
  • 作者

    J. A. B. ROSETTE; P. R. J. NORTH; J. C. SUAREZ; S. O. LOS;

  • 作者单位

    Climate and Land-Surface Systems Interaction Centre, Geography Department,Swansea University, Swansea SA2 8PP, UK Forest Research Agency of the Forestry Commission, Northern Research Station,Roslin, Midlothian EH25 9SY, UK;

    rnClimate and Land-Surface Systems Interaction Centre, Geography Department,Swansea University, Swansea SA2 8PP, UK;

    rnForest Research Agency of the Forestry Commission, Northern Research Station,Roslin, Midlothian EH25 9SY, UK;

    rnClimate and Land-Surface Systems Interaction Centre, Geography Department,Swansea University, Swansea SA2 8PP, UK;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
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