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Properties of the water column and bottom derived from Airborne Visible Infrared Imaging Spectrometer (AVIRIS) data

机译:从机载可见红外成像光谱仪(AVIRIS)数据得出的水柱和水底的属性

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Using Airborne Visible Infrared Imaging Spectrometer (AVIRIS) data as an example, we show in this study that the properties of the water column and bottom of a large, shallow area can be adequately retrieved using a model-driven optimization technique. The simultaneously derived properties include bottom depth, bottom albedo, and water absorption and backscattering coefficients, which in turn could be used to derive concentrations of chlorophyll, dissolved organic matter, and suspended sediments in the water column. The derived bottom depths were compared with a bathymetry chart and a boat survey and were found to agree very well. Also, the derived bottom albedo image shows clear spatial patterns, with end-members consistent with sand and seagrass. The image of absorption and backscattering coefficients indicates that the water is quite horizontally mixed, Without bottom corrections, chlorophyll a retrievals were similar to 50 mg m(-3), while the retrievals after bottom corrections were tenfold less, approximating real values. These results suggest that the model and approach used work very well for the retrieval of subsurface properties of shallow-water environments even for rather turbid environments like Tampa Bay, Florida. [References: 37]
机译:以机载可见光红外光谱仪(AVIRIS)数据为例,我们在这项研究中表明,可以使用模型驱动的优化技术来适当地检索大浅层区域的水柱和底部的属性。同时得出的特性包括底部深度,底部反照率以及吸水率和反向散射系数,这些系数又可以用来得出叶绿素,溶解的有机物和水柱中的悬浮沉积物的浓度。将得出的底部深度与测深图和船形图进行比较,发现非常吻合。同样,得出的底部反照率图像显示出清晰的空间格局,其末端与沙和海草一致。吸收系数和后向散射系数的图像表明,水是水平混合的,没有底部校正,叶绿素a的回收量类似于50 mg m(-3),而底部校正后的回收量则少了十倍,接近真实值。这些结果表明,即使对于像佛罗里达州坦帕湾这样的较浑浊的环境,所使用的模型和方法也能很好地用于浅水环境的地下特性的检索。 [参考:37]

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