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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Use of bio-optical profiling float data in validation of ocean colour satellite products in a remote ocean region
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Use of bio-optical profiling float data in validation of ocean colour satellite products in a remote ocean region

机译:使用生物光学分析浮法数据在远程海洋区域验证海洋卫星产品中的验证

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Utility of data from autonomous profiling floats for the validation of satellite ocean colour products from current satellite ocean colour sensors was assessed using radiometric and chlorophyll a fluorescence data from bio-geochemical profiling floats (BGC-Argo) deployed in the subtropical gyre of the Indian Ocean. One of the floats was equipped with downward irradiance and upwelling radiance sensors, allowing the remote sensing reflectance, R-rs, to be determined. Comparisons between satellite and in situ R-rs, indicated good agreement for the shorter wavelengths, but weak relationships for both satellites for the 555 nm channel, and showed that radiometers deployed on multipurpose, off-the-shelf BGC-Argo floats can provide validation-quality measurements. About 300 chlorophyll a concentration match-ups were achieved within 18 months, which increased the number of validation data points available for the Indian Ocean as a whole by a factor of similar to 4 from the previous historical record. Generally, the satellite data agreed with the float-derived chlorophyll concentration within the uncertainty of +/- 35%, for the band-difference (OCI) and band-ratio (OC3) algorithms, but not for a semi analytical ocean colour model (GSM) that exhibited significantly higher chlorophyll values ( 100% mean difference). Our results indicate that autonomous float-based measurements provide substantial potential for improving regional validation of satellite ocean colour products in remote areas.
机译:使用来自印度洋的生物地球化学分析浮子(BGC-ARGO)的透射仪和叶绿素(BGC-ARGO),评估来自当前卫星海洋颜色传感器的自主剖面浮动浮子浮子的效用。 。其中一个浮子配有向下的辐照度和上升辐射传感器,允许确定遥感反射率R-RS。卫星和原位R-RS之间的比较,表明了对较短波长的良好一致性,但555nm通道的卫星的关系薄弱,并显示了部署在多用途的辐射仪,搁置的BGC-ARGO浮子可以提供验证 - 质量测量。在18个月内实现约300叶浓度匹配浓度匹配,这增加了印度洋的验证数据点数的整体数量与以前的历史记录相似。通常,卫星数据与+/- 35%的不确定度的浮法源叶绿素浓度同意,对于带差(OCI)和带 - 比(OC3)算法,但不是半分析海洋颜色模型( GSM)显着更高的叶绿素值(& 100%平均差异)。我们的结果表明,基于自主浮法的测量提供了改善偏远地区卫星海洋颜色产品的区域验证的大量潜力。

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