Developing Hyperspectral LiDAR for Structural and Biochemical Analysis of Forest Data
Developing Hyperspectral LiDAR for Structural and Biochemical Analysis of Forest Data
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发表时间：
2012-11
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通讯作者：
D. Martinez-Ramirez;G. Buller;A. Mccarthy;Ximing Ren;Andrew M. Wallace;S. Morak;Caroline Nichol;Iain H. Woodhouse
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作者：
D. Martinez-Ramirez;G. Buller;A. Mccarthy;Ximing Ren;Andrew M. Wallace;S. Morak;Caroline Nichol;Iain H. Woodhouse
单波长激光雷达已成功地用于恢复森林冠层的结构数据。然而，多光谱或高光谱冠层激光雷达还可以提供有关生理过程垂直分布的信息，从而了解实际的碳固存以及现有的库存，并可以消除地面与冠层回报的歧义。这对于更好地理解和预测气候变化的影响，以及理解生态系统碳吸收的季节性动态以应对水、温度、光照和养分供应等环境驱动因素至关重要。报道了一种新的时间相关单光子计数激光雷达系统的开发和评估，该系统可记录多个波长的全波形深度剖面。虽然通常使用具有在许多波长处测量的潜力的超连续谱源，但在本研究中，仅使用531、570、670和780nm处的四个离散检测器通道。测量结果显示的单叶和小针叶树样品，并得到的结果与预期的结果进行了比较。为此，部署了一个变维结构模型，再加上光谱模拟使用前景模型。该研究表明，当参数数量受到限制时，多或高光谱LiDAR用于准确的结构和生理恢复的潜力，并导致在此背景下对多波长LiDAR系统的未来发展提出建议。
Single wavelength LiDAR has been successfully used for recovering structural data from forest canopies. However, multior hyper-spectral canopy LiDAR can also provide information on the vertical distribution of physiological processes which informs on actual carbon sequestration as well as existing stocks, and can disambiguate ground from canopy returns. This is critical to better understand and predict the impact of climate change, and to understand the seasonal dynamics of ecosystem carbon uptake in response to environmental drivers such as water, temperature, light and nutrient availability. The development and evaluation of a new time-correlated single photon counting LiDAR system to record full waveform depth profiles at several wavelengths is reported. Although a supercontinuum source with the potential for measurement at many wavelengths is usually used, in this study, only four discrete detector channels at 531, 570, 670 and 780nm are used. Measurements are shown of both single leaf and small conifer samples, and the results obtained are compared with the anticipated results. To that end, a variable dimension structural model, coupled to spectral simulation using the PROSPECT model, is deployed. The study shows the potential of multior hyper-spectral LiDAR for accurate structural and physiological recovery, when the number of parameters is constrained, and leads to make recommendations on the future development of multiple wavelength LiDAR systems in this context.