首页> 外文会议>IEEE International Geoscience and Remote Sensing Symposium >Comparison of forward modeling of apparent hydrooptical properties with in situ observations of multi-spectral data in Saginaw bay: water quality retrievals and implications for seaWiFS data processing
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Comparison of forward modeling of apparent hydrooptical properties with in situ observations of multi-spectral data in Saginaw bay: water quality retrievals and implications for seaWiFS data processing

机译:表观水电图性能的前向建模比较与Saginaw湾多谱数据的原位观察:水质检索与海威测亚数据处理的影响

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Some field measurements of the downwelling solar irradiance above the water surface and the upwelling subsurface solar radiance as well as in situ determinations of phytoplanktonic chlorophyll, total suspended sediments and dissolved organicmatter concentrations were performed in Saginaw Bay during July and August 1998. The radiometric experiments were carried out at the wavelengths specific for SeaWiFS (412, 443, 490, 510, 555, 665 nm) and accompanied by the observations of weatherconditions (wind force and direction, wave height, cloudiness nature and degree) and the sun elevation. The task of the present study was to solve the forward and inverse problems: to calculate the upwelling radiance using hydrooptical model and theanalytical expression for the volume reflectance coefficient, to compare it with in situ data and to retrieve the concentrations of the optically active components (OAC). In the absence of the hydrooptical model for Saginaw Bay forward modeling wasconducted using hydrooptical models of other temperate lakes. The retrievals of chlorophyll, suspended minerals (SM) and dissolved organic carbon (DOC) were calculated with the help of the multivariate optimization technique (MOT) and neural networkapproach.
机译:在7月和8月和1998年8月在萨格诺瓦湾在萨格诺瓦湾进行了水面和升高的地下太阳辐射以及富裕的地下太阳辐射以及浮游植物叶绿素,总悬浮沉积物和溶解有机态浓度的一些田间测量。辐射实验是在针对SeaWIFS的波长(412,443,490,510,515,665nm)的波长下进行,并伴随着天体力的观察(风力和方向,波浪高,云性性质和程度)和太阳海拔。本研究的任务是解决前向和逆问题:计算使用水电图模型的上升辐射和体积反射系数的Theanalytical表达,以将其与原位数据进行比较,并检索光学活性组件的浓度( OAC)。在没有其他温带湖泊的水电图模型的情况下缺乏Saginaw Bay正向建模的缺失。叶绿素,悬浮矿物(SM)和溶解有机碳(DOC)的检索是根据多元优化技术(MOT)和神经网络的帮助计算的。

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