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Using selective drainage methods to hydrologically-condition and hydrologically- enforce LiDAR-derived surface flow

机译:使用选择性排水方法对LiDAR派生的地表水流进行水文调节和水文强化

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摘要

The methods to extract surface flow from coarse elevation data are well documented; however, the methods to extract surface flow from high-resolution, high-vertical accuracy digital elevation models (DEMs) derived from light detection and ranging (LiDAR) are less documented, yet more complex. As lidar data are increasingly used to generate DEMS, the demand for lidar-derived surface flow escalates. Thus, the US Geological Survey has developed semi-automated selective drainage methods to extract continuous surface flow from lidar-derived DEMs. This integrated network is important in understanding surface water movement and runoff, flood inundation, and erosion.
机译:从粗糙高程数据中提取地表流的方法已有很好的文献记载;但是,从光检测和测距(LiDAR)导出的高分辨率,高垂直精度数字高程模型(DEM)中提取表面流的方法文献较少,但更为复杂。随着激光雷达数据越来越多地用于生成DEMS,对激光雷达衍生的表面流的需求不断增加。因此,美国地质调查局开发了半自动选择性排水方法,以从激光雷达衍生的DEM中提取连续的地表水。这个综合网络对于了解地表水的流动和径流,洪水泛滥和侵蚀非常重要。

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