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Comparison of Different Methods of Automated Landform Classification at the Drainage Basin Scale: Examples from the Southern Italy

机译:排水盆地自动地域分类不同方法的比较:意大利南部的例子

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In this work, we tested the reliability of two different methods of automated landform classification (ACL) in three geological domains of the southern Italian chain with contrasting morphological features. ACL maps deriving from the TPI-based (topographic position index) algorithm are strictly dependent to the search input parameters and they are not able to fully capture landforms of different size. Geomorphons-based classification has shown a higher potential and can represent a powerful method of ACL, although it should be improved with the introduction of additional DEM-based parameters for the extraction of landform classes.
机译:在这项工作中,我们在南部意大利链条的三个地质域中测试了两种不同的自动地域分类(ACL)的可靠性,其形态学特征对比。来自基于TPI的(地形位置索引)算法的ACL映射严格依赖于搜索输入参数,并且它们无法完全捕捉不同尺寸的地貌。基于Geomorphons的分类显示出较高的潜力,并且可以代表一种强大的ACL方法,尽管应该在引入额外的基于DEM的参数来提取地形等级的额外参数来改进。

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