摘要
长江口及其邻近海域是海洋颗粒有机碳(Particulate Organic Carbon,POC)碳通量和储量研究的重要区域之一。该区域作为典型的近海高浊度水体,水体生物-光学性质复杂多变,基于卫星遥感对该海域POC实现准确反演仍存在一定挑战。本研究基于在2022年三个不同季节现场获取的长江口及其邻近海域生物-光学数据和Sentinel-3 OLCI(Ocean and Land Colour Instrument)卫星同步数据,对比了5种大气校正方法和3种POC浓度反演算法在该区域的表现。结果表明,ACOLITE大气校正方法在该区域的表现最优,与实测值相比,在大多数波段的大气校正平均绝对百分比误差(Mean Absolute Percent Error,MAPE)均小于35.00%;基于Rrs(665)/Rrs(510)和Rrs(620)/Rrs(490)的波段比值组合算法在该区域有着较好的反演精度,训练集和测试集MAPE分别为30.02%和31.78%。将POC反演算法应用于大气校正后的OLCI影像上,结果显示,该算法能较好地刻画不同水文条件下该海域水体表层POC浓度分布及变化趋势,特别是123°E以东的海域。本研究利用OLCI数据反演长江口及其邻近海域表层POC浓度,对卫星遥感反演高浊度水体POC的相关研究具有参考意义。
The Yangtze River Estuary and its adjacent marginal seas are one of important areas for studying on particulate organic carbon(POC)storage and fluxes in the global carbon cycle.Accurate characterization of POC dynamics in the aquatic settings across this continuum contributes to better understanding of the sink of terrigenous POC.However,this area is a representative of extremely turbid coastal settings and highly dynamic bio-optical properties,and thus,it remains challenging to accurately retrieve POC from satellite ocean color.This study firstly evaluated five different atmospheric correction approaches for Sentinel-3 OLCI(Ocean and Land Colour Instrument)and three POC retrieval algorithms using field data set collected in different seasons in 2022 and satellite ocean color data from OLCI.Results showed that ACOLITE outperformed with mean absolute percent difference(MAPD)less than 35%across most bands.Satellite ocean color algorithms using band ratio combinations by including Rrs(665)/Rrs(510)and Rrs(620)/Rrs(490)performed best,with MAPD of 30.02%and 31.78%for the field in situ and satellite dataset,respectively.The application of the algorithms to the atmospherically-corrected OLCI images showed good retrievals of POC,as a response to different hydrological conditions.The inversion of surface POC concentrations in the Yangtze River Estuary and its adjacent seas using OLCI data provides some valuable insights for relavent studies on water bodies of high-turbidity through satellite remote sensing.
作者
陈洁南
曹芳
CHEN Jienan;CAO Fang(State Key Laboratory of Estuarine and Coastal Research,East China Normal University,Shanghai 200241,China)
出处
《海洋科学进展》
CAS
CSCD
北大核心
2023年第4期657-672,共16页
Advances in Marine Science
基金
国家自然科学基金项目(41906145)。
关键词
长江口
表层颗粒有机碳
遥感反演
OLCI
大气校正
the Yangtze River Estuary
surface particulate organic carbon
remote sensing retrieval
OLCI
atmospheric correction Received:August 1,2023
