Optical properties of the water in a deltaic environment: Prospective tool to analyze satellite data in turbid waters
Optical properties of the water in a deltaic environment: Prospective tool to analyze satellite data in turbid waters
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DOI：
10.1016/0034-4257(96)00058-2
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发表时间：
1996-10-01
影响因子：
13.5
通讯作者：
Mingazzini, M
中科院分区：
文献类型：
--
作者：
Ferrari, GM;Hoepffner, N;Mingazzini, M
在体内的吸收光谱，从藻类培养物，和现场样品（Po三角洲，北方意大利）的色素浓度进行了分析，以区分由水的总吸收的每个光学活性成分的贡献。结果产生系统的趋势，在蓝：红和蓝：近红外吸收比活的浮游植物细胞和碎屑材料，然后被用来检索的吸收系数溶解的有机物质（黄色物质）在410 nm的总在体内吸收系数的自然沃茨在410 nm，670 nm，和730 nm。一个简单的模型，然后应用于检索原位吸收系数黄色物质和不同的蓝色：红色/近红外吸收比的值。敏感性和区域测试在研究地点和波罗的海沿岸，该模型可以解释超过85%的方差在不同条件下的浊度观测数据，并表明，预测的黄色物质是更敏感的碎屑物质的变化比活浮游植物的变化。这项工作可与遥感技术一起用于区分沿海和浑浊沃茨中的光学活性成分。提出了解决水体后向散射系数问题的建议，并提出了从遥感信号中去除大气影响的精确方法。
In vivo absorption spectra, pigment concentrations from algal cultures, and field samples (Po Delta, Northern Italy) are analyzed to differentiate the contribution by each optically active constituent to the total absorption by the water. The results yield systematic trends in the blue:red and blue:NIR absorption ratio for living phytoplankton cells and detrital material, which are then used to retrieve the absorption coefficient of dissolved organic material (yellow substance) at 410 nm from the total in vivo absorption coefficients of natural waters at 410 nm, 670 not, and 730 nm. A simple model was then been applied to retrieve in situ absorption coefficient by yellow substance and for different values of blue:red/NIR absorption ratios. Sensitivity and regional tests in the studied site and in the Baltic shores that the model can explain more than 85% of the variance in the observed data under various conditions of turbidity, and shows that predicted yellow substance is more sensitive to a change in detrital material than a change in living phytoplankton. Such work can be used with remote sensing techniques to differentiate the optically active constituents in coastal and turbid waters. Suggestions are given to solve the problem related to the backscattering coefficient of the water, and to propose an accurate method to remove the atmospheric effect from the remotely sensed signal.