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Spatial Resolution and Algorithm Choice as Modifiers of Downslope Flow Computed from Digital Elevation Models

机译：根据数字高程模型计算的下坡流的空间分辨率和算法选择

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This research investigated the dependence of computing downslope flow from digital elevation models (DEMs) on two basic elements of the flow calculation: the spatial resolution of the DEM and the algorithm used to compute the downslope flow, specifically how it defines topographic slope and aspect. Six algorithms for downslope flow and downslope accumulation were implemented in MATLAB using different assumptions about components of the computation from the terrain analysis literature. We analyzed the results of downslope flow statistically, thresholded the values to yield streams, and compared the different results with the actual surface streams in the National Hydrographic Database. We repeated the computations using DEMs of 3-m, 30-m, and 90-m resolutions, covering a test area near Santa Barbara, California. We conclude that downslope flow computations are overestimates, and that they are fraught with critical algorithmic assumptions and scale effects. They should be approached with great caution in GIS-based analyses.
机译：这项研究调查了从数字高程模型（DEM）计算下坡流量对流量计算的两个基本要素的依赖性：DEM的空间分辨率和用于计算下坡流量的算法，特别是它如何定义地形坡度和坡向。在MATLAB中使用关于地形分析文献中有关计算组成部分的不同假设，在MATLAB中实现了六种用于下坡流动和下坡累积的算法。我们对统计的下坡流量结果进行了统计分析，将这些值设定为阈值以产生水流，并将不同的结果与国家水文数据库中的实际地表流进行了比较。我们使用3-m，30-m和90-m分辨率的DEM重复了计算，覆盖了加利福尼亚圣塔芭芭拉附近的测试区域。我们得出的结论是，下坡流量计算被高估了，并且它们充满了关键的算法假设和规模效应。在基于GIS的分析中应非常谨慎地对待它们。

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