景观测量的地形显式描述符对矢量数据环境应用的贡献

Jomaa Ihab, Y. Auda
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引用次数: 0

摘要

数字地形模型(dtm)在景观空间分析中应用较少。二维拼凑廊道矩阵模型是景观空间生态分析的原型。以往的研究促使生态学家将地形模型整合到景观分析中:1)在计算景观指数之前调整面积和距离计算;2)设计新的指数来捕捉地形;3)寻找地形特征与植被格局之间可能的关系。本研究提出了新的指数,称为相对地形面数(RTF)和地形面简单性(STF),可以在GIS环境中轻松计算,捕捉景观的地形特征。首先建立数字地形模型,提取地形单元并安装在建议指数的计算中。为了进行这项研究,我们选择了黎巴嫩多山和崎岖的地形作为森林景观。这些指数可用于监测斑块和景观水平的地形特征变化。如果在景观格局分析中结合这两个指标,特别是在崎岖地形地区,这两个指标在生态学上都是有用的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Contribution of Topographically Explicit Descriptors of Landscape Measures for Application in the Vector Data Environment
Digital terrain models (DTMs) are not commonly used to integrate for landscape spatial analysis. Two dimensional patchcorridormatrix models are prototypes in landscape spatial ecology analysis. Previous studies have motivated ecologists to integrate terrain models in landscape analysis through 1) adjusting areas and distance calculations prior computing landscape indices; 2) designing new indices to capture topography and 3) searching the possible relationship between topographic characteristics and vegetation patterns. This study presents new indices called Relative number of Topographic Faces (RTF) and Simplicity of topographic Faces (STF) that can be easily computed in a GIS environment, capturing topographical features of landscapes. Digital terrain model was first prepared and topographic units were extracted and installed in computing the suggested indices. Mountainous and rugged topography in Lebanon was chosen on a forested landscape for the purpose of this study. The indices were useful in monitoring changes of topographic features on patch and landscape level. Both indices are ecologically useful if integrated in landscape pattern analysis, especially in areas of rugged terrains.
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