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Estimation of chlorophyll-a concentration in case II waters using MODIS and MERIS data—successes and challenges

机译:使用MODIS和MERIS数据估算案例II水域中叶绿素a的浓度-成功与挑战

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We present and discuss here the results of our work using MODIS (moderate resolution imaging spectroradiometer) and MERIS (medium resolution imaging spectrometer) satellite data to estimate the concentration of chlorophyll- a (chl-a) in reservoirs of the Dnieper River and the Sea of Azov, which are typical case II waters, i.e., turbid and productive. Our objective was to test the potential of satellite remote sensing as a tool for near-real-time monitoring of chl- a distribution in these water bodies. We tested the performance of a recently developed three-band model, and its special case, a two-band model, which use the reflectance at red and near-infrared wavelengths for the retrieval of chl- a concentration. The higher spatial resolution and the availability of a spectral band at around 708?nm with the MERIS data offered great promise for these models. We compared results from several different atmospheric correction procedures available for MODIS and MERIS data. No one particular procedure was consistently and systematically better than the rest. Nevertheless, even in the absence of a perfect atmospheric correction procedure, both the three-band and the two-band models showed promising results when compared with in?situ chl- a measurements. The challenges and limitations involved in satellite remote monitoring of the chl- a distribution in turbid productive waters are discussed.
机译:我们在这里介绍和讨论我们使用MODIS(中分辨率成像光谱仪)和MERIS(中分辨率成像光谱仪)卫星数据的工作结果,以估计第聂伯河和海洋水库中叶绿素a(chl-a)的浓度亚速河水,这是典型的II类水域,即浑浊且高产。我们的目标是测试卫星遥感作为这些水体中chl-分布的近实时监测工具的潜力。我们测试了最近开发的三波段模型及其特殊情况下的两波段模型的性能,该模型使用红色和近红外波长的反射率来获取chl-浓度。利用MERIS数据,更高的空间分辨率和大约708nm的光谱带可用性为这些模型提供了广阔的前景。我们比较了可用于MODIS和MERIS数据的几种不同的大气校正程序的结果。没有一个特定的程序能够始终如一地,系统地比其他程序更好。但是,即使没有完善的大气校正程序,与原位chl-a测量相比,三频带和两频带模型也显示出可喜的结果。讨论了在浑浊的生产水域中对藻类分布进行卫星远程监控所面临的挑战和局限性。

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