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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Radiometric validation of atmospheric correction for MERIS in the Baltic Sea based on continuous observations from ships and AERONET-OC
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Radiometric validation of atmospheric correction for MERIS in the Baltic Sea based on continuous observations from ships and AERONET-OC

机译:基于船舶和Aeronet-OC的连续观察,波罗的海Meris辐射验证

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Abstract The Baltic Sea is a semi-enclosed sea that is optically dominated by coloured dissolved organic material (CDOM) and has relatively low sun elevation which makes accurate ocean colour remote sensing challenging in these waters. The high absorption, low scattering properties of the Baltic Sea are representative of other optically similar water bodies including the Arctic Ocean, Black Sea, coastal regions adjacent to the CDOM-rich estuaries such as the Amazon, and highly absorbing lakes where radiometric validation is essential in order to develop accurate remote sensing algorithms. Previous studies in this region mainly focused on the validation and improvement of standard Chlorophyll-a (Chl a) and attenuation coefficient (kd) ocean colour products. The primary input to derive these is the water-leaving radiance (L w ) or remote sensing reflectance (R rs ) and it is therefore fundamental to obtain the most accurate L w or R rs before deriving higher level products. To this end, the retrieval accuracy of R rs from Medium Resolution Imaging Spectrometer (MERIS) imagery using six atmospheric correction processors was assessed through above-water measurements at two sites of the Aerosol Robotic Network for Ocean Colour (AERONET-OC; 363 measurements) and a shipborne autonomous platform from which the highest number of measurements were obtained (4986 measurements). The six processors tested were the CoastColour processor (CC), the Case 2 Regional processor for lakes (C2R-Lakes), the Case 2 Regional CoastColour processor (C2R-CC), the FUB/WeW water processor (FUB), the MERIS ground segment processor (MEGS) and POLYMER. All processors except for CC had small average absolute percentage differences (ψ) in the wavelength range from 490nm to 709nm (ψ 40%), while other bands had larger differences with ψ 60%. Compared to in situ values, the R rs (709)/R rs (665) band ratio had ψ 30% for all processors. The most accurate R rs in the 490 to 709nm domain was obtained from POLYMER with ψ 30% and coefficients of determination (R 2)0.6. Using a score system based on all statistical tests, POLYMER scored high
机译:<![cdata [ 抽象 波罗的海是一个半封闭的大海,由彩色溶解有机材料(CDOM)光学占主导地位,并且具有相对低的太阳海拔,使得精确的海洋色彩遥感在这些水域中的挑战。波罗的海的高吸收性,低散射性能是其他光学相似的水体,包括北冰洋,黑海,靠近CDOM的河口等亚马逊等亚马逊,以及高度吸收湖泊,其中辐射验证至关重要为了开发精确的遥感算法。此区域的先前研究主要集中在标准叶绿素-A的验证和改进(CHL A )和衰减系数(K D )海洋颜色产品。导出的主要输入是留下水辐射( l w )或遥感反射率( r rs )因此,获得最准确的 l w r rs 在推导出更高级别的产品之前。为此, r rs 从媒介通过在海洋颜色(AERONET-OC; 363测量)的气溶胶机器人网络的两个站点(AERONET-OC; 363测量)和船载自主平台的两段地点,通过上述分辨率成像光谱仪(Meris)图像进行评估使用六种大气校正处理器的图像。获得(4986测量)。测试的六个处理器是海岸COLUCOUR处理器(CC),湖泊(C2R-LAKES),案例2区域海岸大陆处理器(C2R-CC),FUB / WEW水处理器(FUB),梅利斯地面分段处理器(MEGS)和聚合物。除CC外的所有处理器都具有小的平均绝对百分比差异(ψ)在波长范围内的490 nm至709 nm(ψ 40%),而其他频段与ψ 60%。与原位值相比, r rs (709)/ r rs (665)频带比率ψ 30%,适用于所有处理器。最准确的 r rs 在490到709 NM域是从具有ψ 30%和测定系数( r 2 0.6。使用基于所有统计测试的分数系统,聚合物得分高

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