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Comparative study of wet channel network extracted from LiDAR data under different climate conditions

机译：不同气候条件下从LiDAR数据中提取的湿通道网络的比较研究

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摘要

Temporal streams are vitally important for hydrology and riverine ecosystems. The identification of wet channel networks and spatial and temporal dynamics is essential for effective management, conservation, and restoration of water resources. This study investigated the temporal dynamics of stream networks in five watersheds under different climate conditions and levels of human interferences, using a systematic method recently developed for extracting wet channel networks based on light detection and ranging elevation and intensity data. In this paper, thresholds of canopy height for masking densely vegetated areas and the ‘time of forward diffusion’ parameter for filtering digital elevation model are found to be greatly influential and differing among sites. The inflection point of the exceedance probability distribution of elevation differences in each watershed is suggested to be used as the canopy height threshold. A lower value for the ‘time of forward diffusion’ is suggested for watersheds with artificial channels. The properties of decomposed and composite probability distribution functions of intensity and the extracted intensity thresholds are found to vary significantly among regions. Finally, the wet channel density and its variation with climate for five watersheds are found to be reasonable and reliable according to results reported previously in other regions.
机译：时间流对于水文学和河流生态系统至关重要。识别湿河网和时空动态对于有效管理，保护和恢复水资源至关重要。这项研究使用最近开发的一种基于光检测以及测距高程和强度数据提取湿通道网络的系统方法，研究了在不同气候条件和人为干扰水平下五个流域的河流网络的时间动态。在本文中，掩盖茂密植被区的树冠高度阈值和用于过滤数字高程模型的“正向扩散时间”参数被发现具有很大的影响力，并且在站点之间存在差异。建议将每个流域的高程差异的超过概率分布的拐点用作冠层高度阈值。对于具有人工渠道的流域，建议将“正向扩散时间”的值降低。发现强度的分解和复合概率分布函数的性质以及提取的强度阈值在区域之间有很大差异。最后，根据先前在其他地区报道的结果，发现五个流域的湿通道密度及其随气候的变化是合理和可靠的。

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