首页> 外文会议>Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing >Spectral reflectance profile of Caulerpa racemosa var. cylindracea and Caulerpa taxifolia in the Adriatic Sea
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Spectral reflectance profile of Caulerpa racemosa var. cylindracea and Caulerpa taxifolia in the Adriatic Sea

机译:Caulerpa Racemosa var的光谱反射曲线。 Cylindrocea和Caulerpa Taxifolia在亚得里亚海

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The invasive algae in the Mediterranean Caulerpa taxifolia and Caulerpa racemosa var. cylindracea have gained much interest in the Adriatic Sea due to their fast spread and negative impacts on native seaweed species. Lack of accurate mapping and its overall high costs present some of the major difficulties for successful detection and subsequent environmental management. Remote sensing techniques could provide a quicker, more accurate and more cost efficient approach to mapping these invasive species. In order to allow for classification of remotely sensed data, we have collected and analyzed hyperspectral reflectance profiles of both invasive Caulerpa species in the Adriatic and the native Caulerpa cf. laetevirens species from the southeastern Atlantic coast of the United States. We have measured distinctive spectral features for spectroscopically distinguishing between these species, which is particularly interesting in the areas where these native and invasive species coexist. The initial results suggest that it might be possible to distinguish between the species based on their spectral reflectance profile. These results would have to be verified with samples taken from more populations in different phenological phases of the seaweed growth and other environmental conditions.
机译:地中海Caulerpa Taxifolia和Caulerpa Racemosa VAR中的入侵藻类。由于它们对本地海藻物种的快速蔓延和负面影响,Cylindrocea在亚得里亚海中获得了很多兴趣。缺乏准确的绘图及其整体高成本为成功检测和随后的环境管理提供了一些主要困难。遥感技术可以提供更快,更准确和更具成本效益的方法来映射这些侵入性物种。为了允许遥感数据进行分类,我们在亚得里亚类和天然Caulerpa CF中收集和分析了侵入性Caulerpa种类的高光谱反射谱。来自美国东南大西洋海岸的Laetevirens种类。我们已经测量了用于光谱识别这些物种的独特光谱特征,这些物种在这些本地和侵入物种共存的区域特别有趣。初始结果表明,可以基于其光谱反射谱分辨率区分物种。这些结果必须用来自海藻生长和其他环境条件的不同毒性阶段的更多种群所取出的样品进行验证。

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