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Quantitative Analysis of Different Environmental Factor Impacts on Land Cover in Nisos Elafonisos Crete Greece

机译:不同环境因子影响对Nisos Elafonisos克里特岛克里特岛的不同环境因素影响

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摘要

Land Cover monitoring is an essential task for a better understanding of the ecosystem’s dynamicity and complexity. The availability of Remote Sensing data improved the Land Use Land Cover mapping as it is routine work in ecosystem management. The complexity of the Mediterranean ecosystems involves a complexity of the surrounding environmental factors. An attempt to quantitatively investigate the interdependencies between land covers and affected environmental factors was conducted in Nisos Elafonisos to represent diverse and fragile coastal Mediterranean ecosystems. Sentinel-2 (MSI) sensor and ASTER Digital Elevation Model (DEM) data were used to classify the LULC as well as to draw different vegetation conditions over the designated study area. DEM derivatives were conducted and incorporated. The developed methodology is intended to assess the land use land cover for different practices under the present environmental condition of Nisos Elafonisos. Supervised classification resulted in six different land cover clusters and was tested against three different environmental clusters. The findings of the current research pointed out that the environmental variables are independent and there is a vertical distribution of the vegetation according to altitude.
机译:土地覆盖监测是更好地了解生态系统的动态性和复杂性的重要任务。遥感数据的可用性改进了土地使用土地覆盖映射,因为它是生态系统管理中的例行工作。地中海生态系统的复杂性涉及周围环境因素的复杂性。在Nisos Elafonisos进行了定量调查土地覆盖物和受影响的环境因素之间的相互依存性,以代表多样化和脆弱的沿海地中海生态系统。 Sentinel-2(MSI)传感器和Aster数字高度模型(DEM)数据用于对LULC进行分类,并在指定的研究区域中绘制不同的植被条件。 DEM衍生物进行并掺入。开发的方法旨在评估土地利用土地使用土地用于Nisos Elafonisos的环境状况下的不同实践。监督分类导致六种不同的陆地覆盖集群,并对三种不同的环境集群进行了测试。目前研究的结果指出,环境变量是独立的,并且根据高度植被垂直分布。

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