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Threshold Selection of River Network Extraction Based on Different DEM Scales Using ATRIC Algorithm

机译:基于不同DEM刻度的河网提取阈值选择使用处于Atric算法

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The extraction precision of digital network in watershed depends on drainage area threshold. Due to the multi-scale effect of DEM, different scales of DEM would provide different terrain information. Taking Qingjiang watershed as the subject and the DEM under 30m*30m and 90m*90m resolution as the foundation, this research extracts the digital river network and studies the optimal drainage area threshold from DEM with different resolutions through ATRIC algorithm. It's concluded that under the same resolution, the river network becomes sparser with the increase of threshold; the optimal drainage area threshold under higher resolution is larger than that under lower one. Compared with DEM data for 90m resolution, the river network extracted from DEM for 30m resolution enjoys a better goodness of fit with the real river network, with an overlapping rate of 68.8%. ATRIC algorithm is more suitable for DEM data under high resolution.
机译:流域中数字网络的提取精度取决于排水区阈值。由于DEM的多规模效果,不同的DEM的不同尺度将提供不同的地形信息。将青江流域作为主题和DEM低于30米* 30米和90米* 90米的分辨率作为基础,本研究提取数字河网络,通过ATRIC算法研究了不同分辨率的DEM的最佳排水区阈值。它的结论是,在同样的决议下,河流网络随着阈值的增加而变稀疏;更高分辨率下的最佳排水区阈值大于较低的区域阈值。与90M分辨率的DEM数据相比,从DEM提取30M分辨率的河流网络享有与真正的河网合适的优质,重叠率为68.8%。处于高分辨率下的ATRIC算法更适合于DEM数据。

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