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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Spatial and temporal evolution of the St. Lawrence River spectral profile: A 25-year case study using Landsat 5 and 7 imagery
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Spatial and temporal evolution of the St. Lawrence River spectral profile: A 25-year case study using Landsat 5 and 7 imagery

机译:圣劳伦斯河光谱剖面的时空演变:使用Landsat 5和7影像的25年案例研究

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摘要

Underwater light characteristics (quality and quantity) are important drivers of many ecological processes in aquatic systems. However, the mechanisms driving the underwater light climate in large rivers are poorly understood due to the complex interactions among color-producing agents (CPAs), which can vary in space and time. A compelling example of such a complex interaction among CPAs concerns the St. Lawrence River, where chromophoric dissolved organic matter and suspended inorganic particulate matter interact to structure the underwater spectral environment. Because such interactions can be complex, the combined net effect of CPAs on water color is not intuitive and remains to be evaluated. To resolve the spatial and temporal dynamics of the spectral profile in the St. Lawrence River, we analyzed a series of 44 Landsat 5 and 7 images, distributed between 1984 and 2009, which cover the main freshwater section of the river. Rather than following linear trends along the longitudinal axis, the spectral profiles on spectral bands (blue, green and red) presented three distinctive spatial patterns. We argue that matter injected by tributaries and discontinuous zones of the river strongly impacts water color by modulating the balance among CPAs. We also clearly demonstrate a marked trend between 1984 and 2009 toward decreasing reflectance values on bands 1, 2 and 3, presumably in response to changes in land use in the surrounding watershed.
机译:水下光的特征(质量和数量)是水生系统许多生态过程的重要驱动力。但是,由于色彩产生剂(CPA)之间复杂的相互作用(在空间和时间上可能会发生变化),导致在大河中驱动水下光气候的机制了解得很少。注册会计师之间如此复杂的相互作用的一个令人信服的例子是圣劳伦斯河,其中发色团溶解的有机物和悬浮的无机颗粒物相互作用构成水下光谱环境。由于这种相互作用可能很复杂,因此CPA对水彩的综合净效果并不直观,有待评估。为了解决圣劳伦斯河光谱分布的时空动态,我们分析了1984年至2009年之间分布的44张Landsat 5和7图像序列,这些图像覆盖了河流的主要淡水部分。光谱带(蓝色,绿色和红色)上的光谱轮廓并没有遵循纵轴的线性趋势,而是呈现了三种独特的空间模式。我们认为,河流支流和不连续区域注入的物质通过调节CPA之间的平衡而强烈影响水的颜色。我们还清楚地表明,在1984年至2009年之间,频带1,频带2和频带3的反射率值呈下降趋势,这可能是由于周围流域土地利用的变化所致。

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