Optimal Cyanobacterial Pigment Retrieval from Ocean Colour Sensors in a Highly Turbid, Optically Complex Lake
Optimal Cyanobacterial Pigment Retrieval from Ocean Colour Sensors in a Highly Turbid, Optically Complex Lake
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DOI：
10.3390/rs11131613
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发表时间：
2019-07
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通讯作者：
C. Riddick;P. Hunter;José Antonio Domínguez Gómez;V. Martínez-Vicente;M. Présing;Hajnalka Horváth;A. Kovács;L. Vörös;Eszter Zsigmond;A. Tyler
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作者：
C. Riddick;P. Hunter;José Antonio Domínguez Gómez;V. Martínez-Vicente;M. Présing;Hajnalka Horváth;A. Kovács;L. Vörös;Eszter Zsigmond;A. Tyler
到目前为止，已经提出了几种从内陆水域的海洋颜色传感器中提取蓝藻藻蓝蛋白(PC)的算法，所有这些算法都声称是稳健的模型。为了解决这一问题，我们进行了全面的比较，以确定在匈牙利巴拉顿湖高度光学复杂的水域中反演PC浓度的最佳算法。中分辨率成像光谱仪(MERIS)的大气顶部辐射首先使用自包含的MERIS数据大气参数估计v.B2(SCAPE-M_B2)进行大气校正。总体而言，SIMIS05半分析算法的性能优于更复杂的反演算法，提供了从夏季蓝藻水华期间卫星飞越时间到±7天的准确PC估计(RMSElog0.66，p<；0.001)。对SIMIS05算法的深入分析表明，SIMIS05模型将浮游植物吸收系数[APH(λ)]高估了~2倍。然而，这些误差被低估了比质量的叶绿素吸收系数[a*Chla(λ)]所补偿。这项研究加强了在最近发射的哨兵3号上搭载的海洋陆地颜色仪器(OLCI)的背景下，对一系列光学水域类型的算法进行进一步验证的必要性。
To date, several algorithms for the retrieval of cyanobacterial phycocyanin (PC) from ocean colour sensors have been presented for inland waters, all of which claim to be robust models. To address this, we conducted a comprehensive comparison to identify the optimal algorithm for retrieval of PC concentrations in the highly optically complex waters of Lake Balaton (Hungary). MEdium Resolution Imaging Spectrometer (MERIS) top-of-atmosphere radiances were first atmospherically corrected using the Self-Contained Atmospheric Parameters Estimation for MERIS data v.B2 (SCAPE-M_B2). Overall, the Simis05 semi-analytical algorithm outperformed more complex inversion algorithms, providing accurate estimates of PC up to ±7 days from the time of satellite overpass during summer cyanobacteria blooms (RMSElog 0.66, p < 0.001). In-depth analysis of the Simis05 algorithm using in situ measurements of inherent optical properties (IOPs) revealed that the Simis05 model overestimated the phytoplankton absorption coefficient [aph(λ)] by a factor of ~2. However, these errors were compensated for by underestimation of the mass-specific chlorophyll absorption coefficient [a*chla(λ)]. This study reinforces the need for further validation of algorithms over a range of optical water types in the context of the recently launched Ocean Land Colour Instrument (OLCI) onboard Sentinel-3.