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Mediterranean vegetation monitoring by remotely sensed data: LAI retrieval and vegetation trend analysis within two forested areas in southern italy

机译:通过遥感数据监测地中海植被:在意大利南部两个森​​林地区进行LaI检索和植被趋势分析

摘要

The object of the research was twofold: 1) The production of LAI (Leaf Area Index) distribution maps of two Mediterranean forested areas by means of satellite data, to this aim, high resolution IKONOS-2 and medium resolution LANDSAT-TM data were used, and their results compared, the choice to focus on LAI derives from the paramount role this vegetation biophysical, parameter plays in many climate and ecological models, since it is a control variable of important processes such as canopy radiation interception, evapotranspiration and net photosynthesis; 2) A trend analysis, within the same study areas, aimed at improving our understanding of Mediterranean forests response to changing climatic conditions. A yearly series of landsat satellite data and local climatic measurements over a time span of twenty years (1984-2005) were processed and compared in order to evaluate possible relationships between inter-annual variations of vegetation (as expressed by landsat-derived spectral vegetation indices) and related meteorological parameters.
机译:研究的目的是双重的:1)利用卫星数据制作两个地中海森林地区的LAI(叶面积指数)分布图,为此,使用了高分辨率的IKONOS-2和中等分辨率的LANDSAT-TM数据。与他们的结果进行比较,选择LAI的选择源于这种植被生物物理参数在许多气候和生态模型中发挥的至关重要的作用,因为它是冠层辐射截留,蒸散和净光合作用等重要过程的控制变量; 2)在同一研究区域内进行趋势分析,旨在增进我们对地中海森林对气候条件变化的响应的了解。为了评估植被年际变化之间的可能关系(如由陆地卫星得出的光谱植被指数表示),对二十年(1984-2005年)时间跨度中的一系列陆地卫星卫星数据和局部气候测量值进行了处理和比较。 )和相关的气象参数。

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    Giordano Ludovica;

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  • 年度 2007
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