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Mean-curvature watersheds: A simple method for segmentation of a digital elevation model into terrain units

机译:平均曲率分水岭:一种将数字高程模型分割为地形单位的简单方法

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摘要

Terrain segmentation is the process of subdividing a continuous terrain surface into discrete terrain units. If the resulting units represent meaningful geomorphic objects the approach may facilitate studies of not only landforms and land forming processes, but also the interaction among surface form, soil, vegetation, hydrology and topoclimatic regimes. Commonly used methods for terrain segmentation fail to produce terrain units with a potentially large, but cyclic variation in topographic attributes, such as uniformly curved areas bounded by topographic break-lines, although this topographic characterisation is common for a number of landforms. This paper describes a new method for terrain segmentation using mean-curvature (MEC) watersheds. The method produces objects that contain a cycle of MEC values. Thus the topographic variation within each object may be large, but due to the cyclic nature of the MEC variation a geometric simplicity is ensured. In a case study we show how the resulting terrain units correspond well with a number of landforms and surface types observed in the field, and conclude that the method can be expected to be of great value for a number of applications within geomorphology and related disciplines.
机译:地形分割是将连续的地形表面细分为离散的地形单位的过程。如果得到的单位代表有意义的地貌对象,则该方法不仅可以促进地貌和土地形成过程的研究,而且还可以促进地表形态,土壤,植被,水文学和地形气候机制之间的相互作用。常用的地形分割方法无法生成具有潜在大面积但周期性变化的地形属性的地形单位,例如由地形折线界定的均匀弯曲区域,尽管这种地形特征在许多地形中都是常见的。本文介绍了一种使用平均曲率(MEC)分水岭进行地形分割的新方法。该方法产生的对象包含一个MEC值循环。因此,每个物体内的地形变化可能很大,但是由于MEC变化的周期性,可以确保几何上的简单性。在一个案例研究中,我们展示了所得的地形单位如何与野外观察到的许多地形和地表类型很好地相符,并得出结论,该方法有望在地貌学和相关学科的许多应用中具有重要价值。

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