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Expanding understanding of optical variability in Lake Superior with a 4-year dataset

机译:通过4年的数据集扩大对苏必利尔湖光学变异性的了解

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Lake Superior is one of the largest freshwater lakes on our planet, but few optical observations have been made to allow for the development and validation of visible spectral satellite remote sensing products. The dataset described here focuses on coincidently observing inherent and apparent optical properties along with biogeochemical parameters. Specifically, we observe remote sensing reflectance, absorption, scattering, backscattering, attenuation, chlorophyll concentration, and suspended particulate matter over the ice-free months of?2013–2016. The dataset substantially increases the optical knowledge of the lake. In addition to visible spectral satellite algorithm development, the dataset is valuable for characterizing the variable light field, particle, phytoplankton, and colored dissolved organic matter distributions, and helpful in food web and carbon cycle investigations. The compiled data can be freely accessed at https://seabass.gsfc.nasa.gov/archive/URI/Mouw/LakeSuperior/.
机译:苏必利尔湖是我们星球上最大的淡水湖之一,但是几乎没有光学观测可用于开发和验证可见光谱卫星遥感产品。这里描述的数据集着重于同时观察固有的和明显的光学性质以及生物地球化学参数。具体而言,我们观察了2013-2016年无冰月的遥感反射率,吸收,散射,反向散射,衰减,叶绿素浓度和悬浮颗粒物。数据集大大增加了湖泊的光学知识。除了开发可见光谱卫星算法外,该数据集还有助于表征可变的光场,颗粒,浮游植物和有色溶解有机物分布,并有助于食物网和碳循环研究。可以在https://seabass.gsfc.nasa.gov/archive/URI/Mouw/LakeSuperior/上免费访问已编译的数据。

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