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Testing the spectral variation hypothesis by using satellite multispectral images

机译:通过使用卫星多光谱图像测试光谱变化假设

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In the present paper, a test of the spectral variation hypothesis (SVH) was performed using multispectral high resolution satellite data. The SVH was tested by comparing the relationship between the spectral heterogeneity and species richness in plots of different size (10010000 m(2)) in a complex wetland ecosystem, the "Montepulciano Lake", Central Italy. The nature reserve of the Montepulciano Lake is centered on a 100 ha shallow lake surrounded on three sides by a Phragmites australis and Carex sp. pl. marsh of about 280 ha. The monitoring pro-ram for the reserve vegetation started in 2002 and is based on the analysis of 1,100 m(2) and 1 ha (10000 m(2)) Plots, organized in such a manner that four of the smaller size plots are nested, following a random design, within a larger one. Data on species composition and community structure were collected in the plots and stored in a GIS-linked archive. A multispectral Quickbird satellite image (3 m spatial resolution) acquired of the wetland and lake ecosystem during the same period was radiometrically and geometrically corrected. We performed an analysis to examine the use of spectral heterogeneity using the four visible and infrared wavebands of the satellite image to predict species richness at the different spatial scales. The spectral heterogeneity was found to explain about 20% of the variance of species richness at the 100 m(2) scale and about 50% at the 1 ha scale. It was concluded that multispectral high resolution satellite data can contribute to the biodiversity assessment of complex wetland ecosystems. (C) 2004 Elsevier SAS. All rights reserved.
机译:在本文中,使用多光谱高分辨率卫星数据对光谱变化假设(SVH)进行了测试。通过比较意大利中部复杂的湿地生态系统“ Montepulciano湖”中不同大小(10010000 m(2))的样地中光谱异质性与物种丰富度之间的关系来测试SVH。蒙特普齐亚诺湖的自然保护区以一个100公顷的浅湖为中心,三面被芦苇和Carex sp包围。 pl。沼泽约280公顷。保留植被的监测程序于2002年开始,基于对1,100 m(2)和1 ha(10000 m(2))样地的分析,其组织方式是嵌套了四个较小的样地,按照较大的随机设计进行。在样地中收集有关物种组成和群落结构的数据,并将其存储在GIS链接的档案中。辐射和几何校正了同一时期从湿地和湖泊生态系统获得的多光谱Quickbird卫星图像(3 m空间分辨率)。我们进行了一项分析,以检查利用卫星图像的四个可见和红外波段的光谱异质性来预测不同空间尺度上的物种丰富度。发现光谱异质性可以解释100 m(2)规模的约20%的物种丰富度变化和1 ha规模的约50%。结论是,多光谱高分辨率卫星数据可有助于复杂湿地生态系统的生物多样性评估。 (C)2004 Elsevier SAS。版权所有。

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