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A Classification Procedure for Mapping Topo-climatic Conditions for Strategic Vegetation Planning

机译:战略植被规划的地形气候条件制图分类程序

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Environmental classification addresses issues involving the representation and analysis of continuous and variable ecological data. This study creates a methodology to define topo-climatic landscapes (TCL) in the north-west of Catalonia, which is situated in the north-east of the Iberian Peninsula. TCL provide data regarding the ecological behavior of a landscape in terms of its topography, physiognomy, and climate, which are the main drivers of an ecosystem. The variables selected are derived from a variety of different sources, such as remote sensing and climatic atlases. The methodology employed combines unsupervised iterative cluster classification with supervised fuzzy classification. Twenty eight TCL, which can be differentiated in terms of their vegetation physiognomy and vegetation altitudinal range type, were selected for the study area. Furthermore, a hierarchy among the TCL is established which permits the merging of clusters and allows for changes in thematic resolution. By using the topo-climatic landscape map, managers can identify patches with similar environmental conditions and at the same time assess the uncertainty involved in classification.
机译:环境分类解决涉及连续和可变生态数据表示和分析的问题。这项研究创建了一种方法,用于定义加泰罗尼亚西北部的地形气候景观(TCL),该地区位于伊比利亚半岛的东北部。 TCL提供有关景观的地形,地貌和气候方面的生态行为数据,这些是生态系统的主要驱动力。选择的变量来自各种不同的来源,例如遥感和气候图集。所采用的方法将无监督的迭代聚类分类与有监督的模糊分类结合在一起。研究区域选择了二十八个TCL,这些TCL可以根据其植被地貌和海拔高度范围类型进行区分。此外,在TCL之间建立了一个层次结构,该层次结构允许合并群集并允许更改主题分辨率。通过使用地形气候景观图,管理者可以识别具有相似环境条件的斑块,同时评估分类所涉及的不确定性。

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