Remote Sensing Technology and Application, Volume. 40, Issue 2, 265(2025)

Atmospheric Correction Method of Sentinel-2 Data for Inland Water Quality Remote Sensing

Jiayi LI, Ruru DENG*, Yan YAN, Yu GUO, Yuhua LI, Yiling LI, Longhai XIONG, and Yeheng LIANG
Author Affiliations
  • School of Geography and Planning, Sun Yat-Sen University, Guangzhou511400, China
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    Figures & Tables(8)
    Pre-atmospheric correction image and post-atmospheric correction image of three methods
    Comparison of typical features spectra before and after atmospheric correction
    Comparison of image spectra after atmospheric correction with measured spectra in typical features
    Water information extraction by three atmospheric correction methods
    • Table 1. Spectral bands of the Sentinel-2 sensors

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      Table 1. Spectral bands of the Sentinel-2 sensors

      波段中心波长/nm波段宽度/nm空间分辨率/m
      14432060
      24906510
      35603510
      46653010
      57051520
      67401520
      77832020
      884211510
      8A8652020
      99452060
      101 3753060
      111 6109020
      122 19018020
    • Table 2. Sample information of typical features

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      Table 2. Sample information of typical features

      地物类型测量日期点位浑浊度/(mg/L)
      清洁水体2023.2.27113.97° E, 23.77° N2
      浑浊水体2023.3.7113.42° E, 24.16° N14
      水泥地2023.5.31113.33° E, 23.79° N-
    • Table 3. Correlation statistics between typical features image spectra after atmospheric correction and measured spectra

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      Table 3. Correlation statistics between typical features image spectra after atmospheric correction and measured spectra

      典型地物类型R2RMSE
      WQACFLAASHSen2CorWQACFLAASHSen2Cor
      清洁水体0.9180.6580.9710.0060.1350.111
      浑浊水体0.8560.1840.7190.0170.1100.091
      水泥地0.9580.8220.9510.2300.1150.141
    • Table 4. Statistics of water information extraction after atmospheric correction

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      Table 4. Statistics of water information extraction after atmospheric correction

      目视解译WQACFLAASHSen2Cor
      实验区1面积/km25.6945.5114.5535.418
      百分比/%10096.7879.9595.14
      Kappa系数-0.9580.7640.937
      实验区2面积/km22.0961.8801.4121.643
      百分比/%10089.6867.3378.38
      Kappa系数-0.8710.6410.747
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    Jiayi LI, Ruru DENG, Yan YAN, Yu GUO, Yuhua LI, Yiling LI, Longhai XIONG, Yeheng LIANG. Atmospheric Correction Method of Sentinel-2 Data for Inland Water Quality Remote Sensing[J]. Remote Sensing Technology and Application, 2025, 40(2): 265

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    Paper Information

    Category:

    Received: Aug. 29, 2023

    Accepted: --

    Published Online: May. 23, 2025

    The Author Email: Ruru DENG (esdrr@mail.sysu.edu.cn)

    DOI:10.11873/j.issn.1004-0323.2025.2.0265

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