Remote Sensing Technology and Application, Volume. 39, Issue 1, 110(2024)

Inversion of Beibu Gulf Chlorophyll a Concentration based on Sentinel-3A Satellite

Juan SHEN1、*, Zhigang ZHOU2, Tonghui ZHANG2, and Dazhao LIU3,4
Author Affiliations
  • 1Research Center for Indian Ocean Island Countries,South China University of Technology,Guangzhou 510641 China
  • 2Guangdong Provincial Land Survey and Planning Institute,Guangzhou 510075,China
  • 3School of Electronic and Information Engineering,Guangdong Ocean University,Zhanjiang 524088,China
  • 4Guangdong Provincial Marine Remote Sensing and Information Technology Engineering Technology Center,Zhanjiang 524088,China
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    Figures & Tables(15)
    Study area (Shown in the rectangular frame)
    The Raw Image of OCLI in Beibu Gulf
    The Roadmap of ICOR atmosphere correction
    The result of water extraction in Beibu Gulf
    The Remote Sensing reflectance curve of winter waters in Beibu Gulf
    The Remote Sensing Reflectance of waters in Beibu Gulf
    Partitioning rules of Beibu Gulf water body decision tree
    The partition of waters in the OLCI image of Beibu Gulf
    Correlation coefficient of single-band model
    The correlation analysis statistics
    The optimal model for waters inversion in Beibu Gulf
    The non-regional inversion of chlorophyll a concentration in the OLCI image of Beibu Gulf
    Regional inversion of chlorophyll a concentration in the OLCI image of Beibu Gulf
    • Table 1. Band characteristics of Sentinel-3A satellite OLCI

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      Table 1. Band characteristics of Sentinel-3A satellite OLCI

      波段中心波长/nm带宽/nm功能
      Oa0140015参与大气校正中气溶胶订正、改进水汽订正
      Oa02412.510反演水体中的黄色物质及陆源物质(如影响水体浑浊度的泥沙量等)
      Oa03442.510反演叶绿素吸收,植物地球化学效应分析
      Oa0449010反演水体高含量叶绿素、其他色素等
      Oa0551010反演叶绿素、悬浮物,监测海洋赤潮
      Oa0656010提供水体叶绿素反演的参照基准
      Oa0762010反演悬浮物载量
      Oa0866510反演叶绿素、悬浮物、黄色物质,浮游植物分析(如归一化植被指数)
      Oa09673.757.5配合665、681 nm波段,提高荧光光谱反演精度
      Oa10681.257.5提供叶绿素荧光峰信息
      Oa11708.7510提供叶绿素荧光峰检测基线值,MCI的信号波段
      Oa12753.757.5氧分子吸收,植被监测
      Oa13761.252.5氧分子吸收波段,气溶胶反演
      Oa14764.3753.75大气校正
      Oa15767.52.5提供云顶氧压,陆面荧光强度信息。
      Oa16778.7515参与大气校正中气溶胶订正
      Oa1786520参与大气校正中气溶胶订正,云检测
      Oa1888510水汽吸收参考波段,植被监测
      Oa1990010水汽吸收,植被监测
      Oa2094020水汽吸收,参与大气校正中气溶胶订正
      Oa21102040参与大气校正中气溶胶订正
    • Table 2. The simulation results of inversion model of chlorophyll a concentration in Beibu Gulf’s waters

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      Table 2. The simulation results of inversion model of chlorophyll a concentration in Beibu Gulf’s waters

      分区反演模型模型表达式R2RMSEMRE
      未分区水体X=[Rrs(665)/Rrs(673.75)]*Rrs(620)y=9.3369e-19.83x0.240.850.58
      X=[1/Rrs(708.75)-1/Rrs(673.75)]*Rrs(400)y=-3.3547x+2.06620.190.860.65
      X=Rrs(490)/Rrs(1020)y=-0.4135x+3.5640.170.850.68
      X=[Rrs(490)-Rrs(885)]/[Rrs(490)+Rrs(885)]y=-9.2837x+7.18870.170.860.71
      X=Rrs(490)-Rrs(767.5)y=-39.796x-3.31230.170.890.71
      近岸水体X=Rrs(764.375)/Rrs(681.25)y=165.06x2-107.41x+18.2120.670.390.29
      X=[Rrs(673.75)-Rrs(764.375)]/[Rrs(673.75)+Rrs(764.375)]y=-16.755x+9.15630.600.360.39
      X=[1/Rrs(442.5)-1/Rrs(510)]*Rrs(400)y=-15.621x+2.34170.580.400.48
      X=[Rrs(560)/Rrs(764.375)]*Rrs(753.75)y=-62.832x+8.19250.570.450.67
      X=Rrs(510)-Rrs(442.5)y=-169.88x+2.3650.540.460.69
      过度水体X=[1/Rrs(620)-1/Rrs(708.75)]/Rrs(753.75)y=146.95x2-75.243x+9.4020.800.300.12
      X=[Rrs(764.375)/Rrs(865)]*Rrs(560)y=-50.791x+4.46770.650.360.37
      X=Rrs(665)/Rrs(510)y=17.039x-12.0380.610.390.37
      X=[Rrs(620)-Rrs(681.25)]/[Rrs(620)+Rrs(681.25)]y=-26.464x+4.53080.600.420.42
      X=Rrs(620)-Rrs(681.25)y=-220.1x+2.9640.500.470.65
      离岸水体X=Rrs(708.75)-Rrs(764.375)y=225029x2-4174.2x+19.6580.840.290.26
      X=[Rrs(708.75)/Rrs(764.375)]*Rrs(400)y=-82.033x+11.210.700.360.27
      X=[1/Rrs(900)-1/Rrs(767.5)]*Rrs(764.375)y=40.189x-6.0050.670.400.28
      X=[Rrs(900)-Rrs(767.5)]/[Rrs(900)+Rrs(767.5)]y=72.935x-6.84170.550.400.28
      X=Rrs(900)/Rrs(767.5)y=28.682x-34.5970.540.490.30
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    Juan SHEN, Zhigang ZHOU, Tonghui ZHANG, Dazhao LIU. Inversion of Beibu Gulf Chlorophyll a Concentration based on Sentinel-3A Satellite[J]. Remote Sensing Technology and Application, 2024, 39(1): 110

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    Paper Information

    Category: Research Articles

    Received: Jun. 25, 2023

    Accepted: --

    Published Online: Jul. 22, 2024

    The Author Email: SHEN Juan (jshen@scut.edu.cn)

    DOI:10.11873/j.issn.1004-0323.2024.1.0110

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