Remote Sensing Technology and Application, Volume. 40, Issue 2, 275(2025)

Temporal and Spatial Variation of Secchi Disc Depth in Hongze Lake based on Landsat-8 OLI and Its Influencing Factors

Siyi YANG, Chenggong DU*, and Miaomiao JIANG
Author Affiliations
  • Huaiyin Normal University, Provincially and Ministerially Co-constructed Collaborative Innovation Center of Regional Modern Agriculture & Environment, Huai’an223001, China
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    Figures & Tables(17)
    Distribution of sampling points in Hongze Lake
    Line chart of monthly changes in meteorological data from 2013 to 2022
    Line chart of monthly changes in meteorological data from 2013 to 2022
    Line chart of variation of sediment transport
    The amount of Landsat-8 OLI image data
    Line chart of variation of sediment transport
    Construction of SDD remote sensing estimation model
    Spatial distribution of annual average SDD in Hongze Lake from 2013 to 2022
    The annual average SDD of Chengzi Lake Bay, Li River Lake Bay, Huaihe River Bay
    Spatial distribution of monthly average SDD in Hongze Lake during 2013~2022
    The annual average SDD of Chengzi Lake Bay, Li River Lake Bay, Huaihe River Bay
    Correlation between annual SDD and influencing factors
    Correlation between monthly SDD and influencing factors
    • Table 1. Measured data

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      Table 1. Measured data

      采样时间采样点数量
      2020.1128
      2019.0429
      2018.0922
    • Table 2. OLI band setting and parameter information

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      Table 2. OLI band setting and parameter information

      波段号波长范围/μm分辨率/m
      B10.435~0.45130
      B20.452~0.51230
      B30.533~0.59030
      B40.636~0.67330
      B50.851~0.87930
      B61.566~1.65130
      B72.107~2.29430
      B80.500~0.68015
      B91.360~1.39030
    • Table 3. Inversion model of SDD

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      Table 3. Inversion model of SDD

      波段组合拟合方程相关性系数R2
      B2y = 53 817x3 - 3 243.8x2 + 41.443x + 0.408 20.5870.355 8
      B3y = 14 772x3 - 1 217.3x2 + 11.326x + 0.774 30.7210.538 5
      B4y = -3 169.5x3 + 830.74x2 - 56.12x + 1.280 30.7900.713 8
      B5y = -2E+06x3 + 41 540x2 - 339.45x + 1.102 10.7470.774 1
      B2+B3y = 2 659.4x3 - 408.69x2 + 10.93x + 0.537 70.5350.428 6
      B3+B4y = 1 861.1x3 - 231.59x2 - 3.1414x + 0.950 80.7440.639 7
      B4+B5y = -2 690x3 + 680.59x2 - 49.705x + 1.274 90.7880.731 4
      B4/B3y = -14.48x3 + 36.212x2 - 31.329x + 9.600 50.8930.839 3
      B5/B4y = -109.54x3 + 82.042x2 - 20.401x + 1.900 30.5930.486 9
      B5/B3y = 38.561x2 - 13.002x + 1.298 80.7160.654 8
    • Table 4. The fitting equation and correlation of each lake bay and its influencing factors

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      Table 4. The fitting equation and correlation of each lake bay and its influencing factors

      成子湖湾透明度拟合方程R²
      降水量y = 0.000 8x + 0.249 60.64
      风速y = -0.116 9x + 0.588 90.307 6
      气温y = 0.005 4x + 0.244 80.410 8
      输沙量y = 0.001 5x + 0.281 90.266 7
      溧河湖湾透明度拟合方程R²
      降水量y = 0.000 4x + 0.225 80.362 5
      风速y = -0.085 3x + 0.4550.384 7
      气温y = 93.2x - 9.32120.260 9
      输沙量y = 0.000 7x + 0.241 80.375 6
      淮河湖湾透明度拟合方程R²
      降水量y = -0.000 2x + 0.225 90.401
      风速y = 0.013 7x + 0.178 30.055 7
      气温y = -0.001 1x + 0.226 20.235 7
      输沙量y = -0.000 4x + 0.221 70.490 1
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    Siyi YANG, Chenggong DU, Miaomiao JIANG. Temporal and Spatial Variation of Secchi Disc Depth in Hongze Lake based on Landsat-8 OLI and Its Influencing Factors[J]. Remote Sensing Technology and Application, 2025, 40(2): 275

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    Paper Information

    Category:

    Received: Aug. 17, 2023

    Accepted: --

    Published Online: May. 23, 2025

    The Author Email: Chenggong DU (ducg@hytc.edu.cn)

    DOI:10.11873/j.issn.1004-0323.2025.2.0275

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