Mélin Frédéric, Zibordi Giuseppe, Berthon Jean-François, Bailey Sean, Franz Bryan, Voss Kenneth, Flora Stephanie, Grant Mike
E.C. Joint Research Centre, TP272, via Fermi, Ispra, Italy.
Opt Express. 2011 Dec 5;19(25):25657-71. doi: 10.1364/OE.19.025657.
The uncertainties associated with MERIS remote sensing reflectance (RRS) data derived from the SeaWiFS Data Analysis System (SeaDAS) are assessed with field observations. In agreement with the strategy applied for other sensors, a vicarious calibration is conducted using in situ data from the Marine Optical BuoY offshore Hawaii, and leads to vicarious adjustment factors departing from 1 by 0.2% to 1.6%. The three field data sets used for validation have been collected at fixed stations in the northern Adriatic Sea and the Baltic Sea, and in a variety of European waters in the Baltic, Black, Mediterranean and North Seas. Excluding Baltic waters, the mean absolute relative difference |ψ| between satellite and field data is 10-14% for the spectral interval 490-560 nm, 16-18% at 443 nm, and 24-26% at 413 nm. In the Baltic Sea, the |ψ| values are much higher for the blue bands characterized by low RRS amplitudes, but similar or lower at 560 and 665 nm. For the three validation sets, the root-mean-square differences decrease from approximately 0.0013 sr-1 at 413 nm to 0.0002 sr-1 at 665 nm, and are found similar or lower than those obtained for SeaWiFS or MODIS-Aqua. As derived from SeaDAS, the RRS records associated with these three missions thus provide a multi-mission data stream of consistent accuracy.
利用实地观测数据评估了与从海色宽视场传感器数据分析系统(SeaDAS)获得的中分辨率成像光谱仪(MERIS)遥感反射率(RRS)数据相关的不确定性。与应用于其他传感器的策略一致,使用来自夏威夷近海海洋光学浮标(Marine Optical BuoY)的现场数据进行了替代校准,得出的替代调整因子与1的偏差为0.2%至1.6%。用于验证的三个现场数据集是在亚得里亚海北部和波罗的海的固定站点以及波罗的海、黑海、地中海和北海的各种欧洲水域收集的。不包括波罗的海水域,在490 - 560纳米光谱区间,卫星数据与现场数据之间的平均绝对相对差异|ψ|为10 - 14%,在443纳米处为16 - 18%,在413纳米处为24 - 26%。在波罗的海,对于以低RRS振幅为特征的蓝波段,|ψ|值要高得多,但在560和665纳米处相似或更低。对于这三个验证数据集,均方根差异从413纳米处的约0.0013 sr-1降至665纳米处的0.0002 sr-1,并且发现与从海色宽视场传感器(SeaWiFS)或中分辨率成像光谱仪 - 水色卫星(MODIS - Aqua)获得的差异相似或更低。因此,从SeaDAS得出的与这三个任务相关的RRS记录提供了具有一致精度的多任务数据流。