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New Algorithm for MOMS chlorophyll Fluorescence Height Retrieval: performance and comparison with the current product

机译:母亲叶绿素荧光高度检索的新算法:性能与当前产品的比较

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Our previous studies showed that the Fluorescence Line Height (FLH) product, which uses 3 NIR bands at 667, 678, and 746 nm on the MODerate-resolution Imaging Spectroradiometer (MODIS) sensor, and similar bands on MERIS sensor, is not reliable in coastal waters because of a peak in the elastic reflectance spectra which occurs due to the confluence of chlorophyll and water absorption spectra and which overlaps spectrally the chlorophyll fluorescence. This combination of two overlapping peaks makes fluorescence signal retrieval inaccurate. As a consequence, the present FLH algorithm significantly underestimates fluorescence magnitudes in coastal waters. To overcome this problem, we introduce a new and more accurate approach for the retrieval of FLH in turbid waters by the MODIS sensor, which exploits the correlation between the blue-green and red bands reflectance ratios. We show that by making use of the combined remote sensing reflectance's (Rrs) at 488nm, 547nm, 667nm and 678nm we can retrieve fluorescence accurately in case 2 waters even for low fluorescence quantum yield when fluorescence magnitudes are low. The derivation and validation of our algorithm was performed using extensive synthetic datasets which cover a large variability of parameters typical of coastal waters: with CDOM absorption at 400nm 0-2m~(-1) mineral concentration 0-5g/m~3 and chlorophyll concentration of 0.5-100 mg/m~3. In addition, we applied this proposed algorithm to MODIS satellite data and compared it with the traditional FLH algorithm.
机译:我们以前的研究表明,在667,678和746nm上使用3个NIR带,在适度分辨率成像光谱仪(MODIS)传感器(MORIS传感器上的类似频段,使用3个NIR带,在MERIS传感器上使用3个NIR带,在由于弹性反射光谱中的峰值,由于叶绿素和吸水光谱的汇合而发生的弹性反射光谱,并且与叶绿素荧光重叠。两个重叠峰的这种组合使荧光信号检索不准确。结果,目前的FLH算法显着低估了沿海水域中的荧光幅度。为了克服这个问题,我们通过MODIS传感器引入了一种新的和更准确的方法,用于通过MODIS传感器检索FLH中的FLH,该传感器利用蓝绿色和红色带反射比率之间的相关性。我们表明,通过在488nm,547nm,667nm和678nm下使用组合的遥感反射率(RRS),我们可以在荧光幅度低至低荧光量子产量时精确地检索荧光。我们算法的推导和验证是使用广泛的合成数据集进行的,该数据集涵盖了沿海水域典型的参数的大变化:CDOM吸收为400nm 0-2M〜(-1)矿物浓度0-5g / m〜3和叶绿素浓度0.5-100 mg / m〜3。此外,我们将此提议的算法应用于Modis卫星数据,并与传统的FLH算法进行比较。

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