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Spectroscopy and Spectral Analysis, Volume. 42, Issue 8, 2513(2022)

Evaluation of Various Atmospheric Correction Methods in the Processing of Landsat8/OLI Data in Jiaozhou Bay

Xiao-yan LIU1、*, Chen SHEN3、3;, Wen-xi CUI3、3;, Qian YANG1、1; 3;, Ding-feng YU1、1; 3; *;, Hao GAO1、1; 3;, Lei YANG1、1; 3;, Yan ZHOU1、1; 3;, and Xin-xing ZHAO3、3;
Author Affiliations
  • 11. Institute of Oceanographic Instrumentation, Qilu University of Technology (Shandong Academy of Sciences), Qingdao 266100, China
  • 33. Schoolof OceanTechnology Sciences, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250300, China
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    Figures&Tables (13)
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    References (18)
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    Figures & Tables(13)
    Geographic location map of Jiaozhou Bay

    Fig. 1. Geographic location map of Jiaozhou Bay

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    Statistical probability distribution of QA scores by using five atmospheric correction algorithms

    Fig. 2. Statistical probability distribution of QA scores by using five atmospheric correction algorithms

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    The spatial distribution of Rrs(λ)'s QA scores of Landasat8/OLI data processed by Acolite DSF atmospheric correction algoritim in Jiaozhou Bay(a): 2015.03.10; (b): 2016.09.20; (c): 2014.11.18; (d): 2016.02.09

    Fig. 3. The spatial distribution of Rrs(λ)'s QA scores of Landasat8/OLI data processed by Acolite DSF atmospheric correction algoritim in Jiaozhou Bay
    (a): 2015.03.10; (b): 2016.09.20; (c): 2014.11.18; (d): 2016.02.09

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    The spatial distribution of Rrs(λ)'s QA scores of Landasat8/OLI data processed by Acolite SWIR atmospheric correction algorithm in Jiaozhou Bay(a): 2015.03.10; (b): 2016.09.20; (c): 2014.11.18; (d): 2016.02.09

    Fig. 4. The spatial distribution of Rrs(λ)'s QA scores of Landasat8/OLI data processed by Acolite SWIR atmospheric correction algorithm in Jiaozhou Bay
    (a): 2015.03.10; (b): 2016.09.20; (c): 2014.11.18; (d): 2016.02.09

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    The spatial distribution of Rrs(λ)'s QA scores of Landasat8/OLI data processed by Acolite Red/NIR atmospheric correction algorithm in Jiaozhou Bay(a): 2015.03.10; (b): 2016.09.20; (c): 2014.11.18; (d): 2016.02.09

    Fig. 5. The spatial distribution of Rrs(λ)'s QA scores of Landasat8/OLI data processed by Acolite Red/NIR atmospheric correction algorithm in Jiaozhou Bay
    (a): 2015.03.10; (b): 2016.09.20; (c): 2014.11.18; (d): 2016.02.09

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    The spatial distribution of Rrs(λ)'s QA scores of Landasat8/OLI data processed by Acolite NIR/SWIR atmospheric correction algorithm in Jiaozhou Bay(a): 2015.03.10; (b): 2016.09.20; (c): 2014.11.18; (d): 2016.02.09

    Fig. 6. The spatial distribution of Rrs(λ)'s QA scores of Landasat8/OLI data processed by Acolite NIR/SWIR atmospheric correction algorithm in Jiaozhou Bay
    (a): 2015.03.10; (b): 2016.09.20; (c): 2014.11.18; (d): 2016.02.09

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    The spatial distribution of Rrs(λ)'s QA scores of Landasat8/OLI data processed by Seadas Default atmospheric correction algorithm in Jiaozhou Bay(a): 2015.03.10; (b): 2016.09.20; (c): 2014.11.18; (d): 2016.02.09

    Fig. 7. The spatial distribution of Rrs(λ)'s QA scores of Landasat8/OLI data processed by Seadas Default atmospheric correction algorithm in Jiaozhou Bay
    (a): 2015.03.10; (b): 2016.09.20; (c): 2014.11.18; (d): 2016.02.09

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    Comparisons of Landsat8/OLI's Rrs data at 443, 483, 561, 655 nm obtained by Seadas Default and Acolite DSF

    Fig. 8. Comparisons of Landsat8/OLI's Rrs data at 443, 483, 561, 655 nm obtained by Seadas Default and Acolite DSF

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    Comparisons between Landsat8/OLI's Rrs data at 443, 483, 561, 655 nm obtained by Seadas Default and Modis's Rrs data[(a), (c), (e), (g)]; And the comparison between Landsat8/OLI's Rrs data at 443, 483, 561, 655 nm obtained by Acolite DSF and Modis's Rrs data [(b), (d), (f), (h)]

    Fig. 9. Comparisons between Landsat8/OLI's Rrs data at 443, 483, 561, 655 nm obtained by Seadas Default and Modis's Rrs data[(a), (c), (e), (g)]; And the comparison between Landsat8/OLI's Rrs data at 443, 483, 561, 655 nm obtained by Acolite DSF and Modis's Rrs data [(b), (d), (f), (h)]

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    • Table 1. Bands Setting of Landsat8/OLI

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      Table 1. Bands Setting of Landsat8/OLI

      波段号波段/μm空间分辨率/m
      10.433~0.45330
      20.450~0.51530
      30.525~0.60030
      40.630~0.68030
      50.845~0.88530
      61.560~1.66030
      72.100~2.30030
      80.500~0.68015
      91.360~1.39030

    • Table 2. The dates of Landsat8/OLI data selected in this work

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      Table 2. The dates of Landsat8/OLI data selected in this work

      数据日期数据日期
      2013.11.152015.10.20
      2013.12.012016.01.08
      2014.01.022016.01.24
      2014.10.012016.02.09
      2014.11.022016.02.28
      2014.11.182016.09.20
      2014.12.042017.02.11
      2014.12.202017.02.27
      2015.02.062017.03.15
      2015.03.102017.03.31

    • Table 3. Probability statistics of Rrs's QA Score by using different atmospheric correction algorithms

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      Table 3. Probability statistics of Rrs's QA Score by using different atmospheric correction algorithms

      算法\概率\QA分值01/42/43/41
      Seadas Default0.52%0.95%2.38%12.20%83.95%
      Acolite DSF0.02%4.33%16.41%29.57%49.66%
      Acolite SWIR2.39%16.05%34.98%42.44%4.13%
      Acolite Red/NIR3.66%19.78%30.67%38.63%7.25%
      Acolite NIR/SWIR3.19%19.25%35.14%41.04%1.38%

    • Table 4. The error analysis of each comparison in Fig.9

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      Table 4. The error analysis of each comparison in Fig.9

      波段/nm大气校正算法rRMSEε/%
      443Seadas Default0.8320.00224.80
      Acolite DSF0.2560.00536.91
      483Seadas Default0.8850.0027.65
      Acolite DSF0.1700.00623.28
      561Seadas Default0.8680.0039.80
      Acolite DSF0.1600.00928.39
      655Seadas Default0.8360.00215.68
      Acolite DSF0.2310.01050.59
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    Xiao-yan LIU, Chen SHEN, Wen-xi CUI, Qian YANG, Ding-feng YU, Hao GAO, Lei YANG, Yan ZHOU, Xin-xing ZHAO. Evaluation of Various Atmospheric Correction Methods in the Processing of Landsat8/OLI Data in Jiaozhou Bay[J]. Spectroscopy and Spectral Analysis, 2022, 42(8): 2513

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    Paper Information

    Category: Orginal Article

    Received: Jun. 1, 2021

    Accepted: --

    Published Online: Mar. 17, 2025

    The Author Email: Xiao-yan LIU (liuxiaoyan@qlu.edu.cn)

    DOI:10.3964/j.issn.1000-0593(2022)08-2513-09

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology