Comparison study on the retrieval of chlorophyll in turbid waters based on Sentinel satellites——a case study of Poyang Lake
LI Tingting1， TIAN Liqiao1， LI Jian2， ZHANG Li3， SUN Zhaohua4
1.State Key Laboratory of Information Engineering in Surveying，Mapping and Remote Sensing，Wuhan University， Wuhan 430079， China；2.School of Remote Sensing and Information Engineering，Wuhan University，Wuhan 430079，China；3.Key Laboratory of Poyang Lake Wetland and Watershed Research， Ministry of Education，Jiangxi Normal University， Nanchang 330022， China；4.South China Sea Institute of Oceanology， Key Laboratory of Ocean and Marginal Sea Geology，Chinese Academy of Sciences， Guangzhou 510301， China
Abstract：Sentinel-2A satellite and Sentinel-3A satellite were successfully launched in June 2015 and February 2016 respectively. The spatial resolution， temporal resolution and band settings of MSI and OLCI sensors have great potential in inland water environment research. In this study， the inversion problem of chlorophyll in turbid water was studied. Based on the theory of optical partitioning and the simultaneous in situ data， taking Poyang Lake as an example， the feasibility and potential of applying data from Sentinel system satellites in chlorophyll retrieval are discussed. The results show that： 1) as for Sentinel-2A MSI data， the three bands ([1/Rrs (665)－1/Rrs (705)]*Rrs (740)) model is the most accurate one for northern lake with the determination coefficient of 0.65 and MRE of 38.53%. The difference ((Rrs (705)－Rrs (665)) model is the most accurate one for southern lake with the determination coefficient of 0.63 and MRE of 39.87%. 2) As for Sentinel-3A OLCI data， the three bands ([1/Rrs (665)－1/Rrs (673.75)]*Rrs (753.75)) model is the most accurate one for northern lake， the determination coefficient of 0.65 and MRE of 37.6%. The difference (Rrs (708.75)－Rrs (665)) model is the most accurate one for southern lake with the determination coefficient of 0.62 and MRE of 39.6%. 3) The optical partition model of the Sentinel family satellites is able to solve the problems on chlorophyll inversion of some turbid water in Poyang Lake to a certain extent， and more precision inversion model method will be developed in the follow-up time.
李亭亭,田礼乔,李 建,张 琍,孙兆华. 基于Sentinel卫星的浑浊水体叶绿素反演对比研究——以鄱阳湖为例[J]. 华中师范大学学报(自然科学版), 2017, 51(6): 858-864.
LI Tingting,TIAN Liqiao,LI Jian,ZHANG Li,SUN Zhaohua. Comparison study on the retrieval of chlorophyll in turbid waters based on Sentinel satellites——a case study of Poyang Lake. journal1, 2017, 51(6): 858-864.
2017, Vol. 51 
