首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Advantages and limitations of ocean color remote sensing in CDOM-dominated, mineral-rich coastal and estuarine waters
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Advantages and limitations of ocean color remote sensing in CDOM-dominated, mineral-rich coastal and estuarine waters

机译:海洋色彩遥感在以CDOM为主,富含矿物质的沿海和河口水域中的优势和局限性

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Current operational approaches to ocean color remote sensing tend to be least accurate in coastal regions with waters rich in terrigenous material. Semi-analytical models can be used to retrieve the absorption and backscattering properties of dissolved and suspended materials unique to these environments, and subsequently biogeochemical parameters such as total suspended material (TSM) and chlorophyll (Chl). In this study, optical data collected over several years are used to select and optimize a semi-analytical ocean color algorithm for the dynamic and optically complex Long Island Sound estuary. The most successful algorithm requires a red reflectance channel between 600 and 650nm, which is not included in many current ocean color sensors, but is essential in highly scattering waters. Regional optimization including the use of a dynamic, spectrally variable f/Q, a value related to the bidirectional reflectance distribution function (BRDF), results in an approximately five-fold decrease in retrieval bias in highly backscattering, sediment-laden waters near river outflows. Retrievals of dissolved and particulate spectral absorption, backscattering, dissolved and detrital absorption coefficients and total suspended matter obtained from the optimized algorithm agree well with field observations (r~2≥0.90). These parameters are useful for assessing riverine discharge, mixing and residence times of surface waters, as well as assessing the turbidity and light penetration in this estuary. Estimation of Chl remains challenging (r~2=0.59) due to the stepwise nature of the algorithm and the relatively high proportion of dissolved and non-algal constituents masking phytoplankton absorption (generally<20% of total absorption at 440nm). Moreover, diverse phytoplankton assemblages throughout the region create variability between spectral absorption and chlorophyll and highlight the benefits of increased spectral resolution of ocean color satellites going forward.
机译:在具有丰富陆源物质的水域的沿海地区,当前的海洋颜色遥感操作方法往往最不准确。半分析模型可用于检索这些环境特有的溶解和悬浮物质的吸收和反向散射特性,以及随后的生物地球化学参数,例如总悬浮物质(TSM)和叶绿素(Chl)。在这项研究中,使用多年收集的光学数据来选择和优化动态和光学复杂的长岛峡口的半解析海洋颜色算法。最成功的算法需要在600至650nm之间的红色反射通道,当前许多海洋颜色传感器中并未包含该通道,但在高度散射的水中必不可少。区域优化包括使用动态的,光谱可变的f / Q(与双向反射率分布函数(BRDF)有关的值),可在河流出口附近高度背向散射,含沙的水域中,使反演偏差降低大约五倍。 。通过优化算法得到的溶解态和颗粒态光谱吸收,后向散射,溶解态和碎屑吸收系数以及总悬浮物的反演与现场观测结果吻合良好(r〜2≥0.90)。这些参数可用于评估河水排放,地表水的混合和停留时间,以及评估该河口的浊度和透光率。由于算法的分步性质以及相对较高比例的溶解和非藻类成分掩盖了浮游植物的吸收(通常在440nm下小于总吸收的20%),因此Ch1的估计仍然具有挑战性(r〜2 = 0.59)。此外,整个地区的各种浮游植物组合在光谱吸收和叶绿素之间产生差异,并突出了提高未来海洋彩色卫星光谱分辨率的好处。

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