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Use of bio-optical profiling float data in validation of ocean colour satellite products in a remote ocean region
Remote Sensing of Environment ( IF 11.1 ) Pub Date : 2018-05-01 , DOI: 10.1016/j.rse.2018.02.057
Bożena Wojtasiewicz , Nick J. Hardman-Mountford , David Antoine , François Dufois , Dirk Slawinski , Thomas W. Trull

Abstract 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 biogeochemical 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, Rrs, to be determined. Comparisons between satellite and in situ Rrs 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 ~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 semianalytical 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.

中文翻译:

生物光学剖面浮标数据在偏远海域海洋彩色卫星产品验证中的应用

摘要 使用来自部署在印度洋亚热带环流中的生物地球化学剖面浮标 (BGC-Argo) 的辐射测量和叶绿素 a 荧光数据,评估了来自自主剖面浮标的数据在验证来自当前卫星海洋颜色传感器的卫星海洋颜色产品方面的效用。其中一个浮标配备了向下辐照度和上升流辐照度传感器,可以确定遥感反射率 Rrs。卫星和原位 Rrs 之间的比较表明,较短的波长具有良好的一致性,但两颗卫星在 555 nm 信道上的关系较弱,并表明部署在多用途、现成的 BGC-Argo 浮标上的辐射计可以提供验证质量的测量. 在 18 个月内实现了约 300 种叶绿素 a 浓度匹配,与之前的历史记录相比,整个印度洋可用的验证数据点数量增加了约 4 倍。通常,对于带差 (OCI) 和带比 (OC3) 算法,卫星数据与浮标得出的叶绿素浓度在 ±35% 的不确定性范围内一致,但对于半分析海洋颜色模型 (GSM) 而言则不然表现出显着更高的叶绿素值(>100% 平均差异)。我们的结果表明,基于浮标的自主测量为改进偏远地区卫星海洋颜色产品的区域验证提供了巨大的潜力。对于带差 (OCI) 和带比 (OC3) 算法,卫星数据与浮标得出的叶绿素浓度一致,误差在 ±35% 以内,但不适用于半分析海洋颜色模型 (GSM)更高的叶绿素值(>100% 平均差异)。我们的结果表明,基于浮标的自主测量为改进偏远地区卫星海洋颜色产品的区域验证提供了巨大的潜力。对于带差 (OCI) 和带比 (OC3) 算法,卫星数据与浮标得出的叶绿素浓度一致,误差在 ±35% 以内,但不适用于半分析海洋颜色模型 (GSM)更高的叶绿素值(>100% 平均差异)。我们的结果表明,基于浮标的自主测量为改进偏远地区卫星海洋颜色产品的区域验证提供了巨大的潜力。
更新日期:2018-05-01
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