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Knickzone Extraction Tool (KET) – A new ArcGIS toolset for automatic extraction of knickzones from a DEM based on multi-scale stream gradients

机译:尼克区提取工具(KET)–一种新的ArcGIS工具集,可基于多尺度流梯度从DEM自动提取尼克区

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Abstract>Extraction of knickpoints or knickzones from a Digital Elevation Model (DEM) has gained immense significance owing to the increasing implications of knickzones on landform development. However, existing methods for knickzone extraction tend to be subjective or require time-intensive data processing. This paper describes the proposed Knickzone Extraction Tool (KET), a new raster-based Python script deployed in the form of an ArcGIS toolset that automates the process of knickzone extraction and is both fast and more user-friendly. The KET is based on multi-scale analysis of slope gradients along a river course, where any locally steep segment (knickzone) can be extracted as an anomalously high local gradient. We also conducted a comparative analysis of the KET and other contemporary knickzone identification techniques. The relationship between knickzone distribution and its morphometric characteristics are also examined through a case study of a mountainous watershed in Japan.
机译:摘要 >从数字高程模型(DEM)中提取拐点或拐点区域具有重要意义,原因是拐点区域对地形发展的影响越来越大。但是,现有的尼克区提取方法趋于主观或需要耗时的数据处理。本文介绍了拟议的尼克区提取工具(KET),这是一种以ArcGIS工具集的形式部署的基于栅格的新Python脚本,该脚本可自动提取尼克区,并且快速且用户友好。 KET基于对河道的坡度梯度的多尺度分析,在该过程中,可以提取任何局部陡峭的部分(拐点)作为异常高的局部梯度。我们还对KET和其他当代尼克区识别技术进行了比较分析。通过对日本山区流域的案例研究,探讨了尼克带分布与其形态特征之间的关系。

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