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New approaches to retrieval and application of lidar-measured vegetation vertical canopy profiles.

机译:检索和应用激光雷达测量的植被垂直冠层剖面的新方法。

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Forests play an important role in the exchange of heat, momentum, water, and carbon between the land surface and the atmosphere. The rates of exchange mostly depend on the three-dimensional distribution of canopy material. Large-footprint waveform-recording laser altimeters (lidars) have demonstrated a potential to significantly improve remote estimates of vertical forest structure. It is a relatively new field of science, with a number of opportunities and challenges.; Presently available methods to analyze lidar data are based on models with simplifying assumptions, which lead to rather large errors in the retrieved variables. Standard assumptions include neglecting the effects of multiple scattering, unrealistic representation of canopy structure, and ignoring foliage clumping. Moreover, the use of lidar-recorded waveforms is mostly limited to aboveground biomass estimation studies. The utility of this data to other fields of science is not well-investigated and poorly understood.; The goal of the research presented in this dissertation is to improve current methods used for lidar waveform processing and to develop new applications. For lidar data, this research utilized data from SLICER (Scanning Lidar Imager of Canopies by Echo Recovery), an air-borne instrument extensively used in 1994--1997. The research consisted of three separate tasks. First, a physical model describing the propagation of lidar signals through vegetation was developed on the basis of time-dependent radiative transfer theory. This model was used to evaluate the effects of multiple scattering, which were shown to cause a significant magnification of the amplitude of the reflected signal, especially that originating from the lower portion of the canopy. Second, a new application for lidar data was developed. In particular, canopy height profiles (CHPs) retrieved from lidar waveforms were used for modeling gross primary production (GPP) of deciduous forests. Comparison with other photosynthesis models showed that accounting for a vertical canopy profile might lead to more accurate estimates of GPP. Third, the current algorithm for retrieval of CHPs of deciduous forests was modified to be applicable to coniferous canopies. The modifications account for clumping of needles into shoots, shoot orientation and effects of multiple scattering, and result in the retrieval of more realistic CHPs.
机译:森林在土地表面与大气之间的热,动量,水和碳的交换中起着重要作用。交换速率主要取决于冠层材料的三维分布。大面积波形记录激光高度计(激光雷达)已显示出显着改善垂直森林结构的远程估计的潜力。这是一个相对较新的科学领域,具有许多机遇和挑战。目前,用于分析激光雷达数据的可用方法基于具有简化假设的模型,这会导致所检索变量的误差很大。标准的假设包括忽略多重散射的影响,不实际的冠层结构表示以及忽略树叶结块。此外,激光雷达记录的波形的使用主要限于地上生物量估计研究。该数据在其他科学领域的实用性尚未得到充分研究和了解。本文的研究目标是改进激光雷达波形处理的现有方法并开发新的应用。对于激光雷达数据,这项研究利用了SLICER(通过Echo Recovery扫描机盖的激光雷达成像仪)数据,这是一种在1994--1997年广泛使用的机载仪器。该研究包括三个单独的任务。首先,基于时变辐射传输理论,建立了描述激光雷达信号通过植被传播的物理模型。该模型被用来评估多重散射的影响,多重散射被证明会导致反射信号幅度的显着放大,尤其是源自冠层下部的放大。其次,开发了激光雷达数据的新应用程序。特别是,从激光雷达波形中检索到的冠层高度剖面(CHP)用于建模落叶林的总初级生产力(GPP)。与其他光合作用模型的比较表明,考虑垂直树冠轮廓可能会导致GPP的更准确估算。第三,对现行的落叶林CHPs检索算法进行了修改,以适用于针叶林。修改说明了将针结成枝条,枝条方向和多重散射的影响,并导致了更逼真的CHP的检索。

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