ADEOS-II/GLI ocean-color atmospheric correction: early phase result
ADEOS-II/GLI ocean-color atmospheric correction: early phase result
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ADEOS-II/GLI 海洋色大气校正：早期结果
DOI：
10.1117/12.509828
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发表时间：
2003
期刊：
影响因子：
--
通讯作者：
M. Kahru
中科院分区：
文献类型：
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作者：
H. Fukushima;M. Toratani;Akihiko Tanaka;Wen;H. Murakami;R. Frouin;B. Mitchell;M. Kahru
本文介绍了 Global Imager (GLI) 经大气校正的海洋颜色数据的初步结果，GLI 是 2002 年 12 月在 ADEOS-II 卫星上发射的中等分辨率光谱仪。首先描述了标准 GLI 大气校正算法，其中包括基于水下光学建模的迭代过程，然后简要描述了输出地球物理参数的标准水下算法。然后，在基于全球 GLI-SeaWiFS 数据比较的替代校准校正因子下，对船舶/浮标观测到的和卫星得出的海洋反射率或归一化离水辐射率进行比较。结果显示，主要在加利福尼亚州和下加利福尼亚州附近收集的超过 15 个水离去辐射率匹配数据显示，412、443、490 和 565 nm 波段的 GLI 估计标准误差为 0.1 至 0.36 μW/cm2/nm/sr，如果现场数据集仅限于这些，则改进的标准误差为 0.09 至 0.14 μW/cm2/nm/sr通过水中辐射率测量获得。根据临时去条带程序，卫星衍生的叶绿素 a 估计值与卫星观测一天内从加利福尼亚州附近收集的 35 个船舶测量数据进行了很好的比较，显示标准误差系数为 1.73（+73% 或 -43% 误差）。
The paper presents initial results of atmospherically corrected ocean color data from the Global Imager (GLI), a moderate resolution spectrometer launched in December 2002 aboard ADEOS-II satellite. The standard GLI atmospheric correction algorithm, which includes an iterative procedure based on in-water optical modeling is first described, followed by brief description of standard in-water algorithms for output geophysical parameters. Ship/buoy-observed and satellite-derived marine reflectances, or normalized water-leaving radiance, are then compared, under vicarious calibration correction factors based on global GLI-SeaWiFS data comparison. The results, over 15 water-leaving radiance match-up data collected mostly off California and off Baja California, show standard errors in GLI estimate of 0.1 to 0.36 μW/cm2/nm/sr for 412, 443, 490, and 565 nm bands, with improved standard errors of 0.09 to 0.14 μW/cm2/nm/sr if in situ data set is limited to those obtained by in-water radiance measurement. Under provisional de-striping procedure, satellite-derived chlorophyll a estimates compares well with 35 ship-measured data collected off California within one day difference from the satellite observation, showing standard error factor of 1.73 (+73% or -43% error).