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Analysis of landscape changes as an indicator for environmental monitoring

机译:分析景观变化作为环境监测的指标

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Mediterranean coastal landscapes are complex systems that are subject to rapid and extensive changes due to unprecedented human interference. Changes in these landscapes are strong indications of anthropogenic disturbances that should be monitored carefully in order to make effective management decisions. Landscape changes can be analyzed using many qualitative and quantitative techniques. In this respect, the importance of land cover information arises from the fact that any change in the composition and/or configuration of land cover can be used as a landscape-level environmental indicator. Therefore, proper understanding of spatial and temporal characteristics of this environmental attribute is of vital importance as it enables decision-makers to reveal causes of environmental issues and to cope with consequences of mismanagement. The aims of this paper are to analyze landscape-level changes using the largest patch index (LPI) as a simple pattern indicator and provide guidelines for studying change phenomena that take place in the Mediterranean coastal areas. In this respect, changes in the LPI values for agricultural and built-up areas in three different sites were analyzed using georeferenced Ikonos and Quickbird images. The concepts of pattern and process were highlighted as important indicators for studying landscapes and understanding their change.
机译:地中海沿岸的景观是复杂的系统,由于前所未有的人为干预,它们会发生迅速而广泛的变化。这些景观的变化是人为干扰的有力迹象,应进行仔细监控,以便做出有效的管理决策。可以使用许多定性和定量技术来分析景观变化。在这方面,土地覆盖信息的重要性源于以下事实:土地覆盖的构成和/或配置的任何变化都可以用作景观级别的环境指标。因此,正确理解这种环境属性的时空特性至关重要,因为它使决策者能够揭示环境问题的根源并应对管理不善的后果。本文的目的是使用最大斑块指数(LPI)作为简单的模式指标来分析景观水平的变化,并为研究地中海沿岸地区发生的变化现象提供指导。在这方面,使用地理参考的Ikonos和Quickbird图像分析了三个不同地点的农业和集聚区的LPI值的变化。模式和过程的概念被强调为研究景观和了解其变化的重要指标。

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