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<p>The Indian Space Research Organisation (ISRO) launched Oceansat-3 to gather crucial ocean surface data for climate and marine resource monitoring. This study aims to validate Oceansat-3’s operational products (remote sensing reflectance, Rrs, and Chlorophyll-a concentration, Chl-a) in the southern Bay of Bengal through in-situ measurements. In-situ data were collected using boat and ship cruise. Statistical methods, including Mean Bias (MB), Mean Absolute Error (MAE), Root Mean Square Error (RMSE), coefficient of determination (R<sup>2</sup>), frequency distribution, and Bland Altman Plot, were employed to quantify the assessment between satellite and in-situ data. Results indicate consistency of Oceansat-3 products in representing oceanographic features, even though observed changes in OCM3 spectral remote sensing reflectance accuracy during the measurement period, the Bland-Altman plot results reveal that the mean bias approaches zero, indicating negligible systematic errors between in-situ and satellite-derived Rrs, thus reflecting commendable concordance between the two measurements. Further, the MAE values spanned from 0.001 to 0.003&#xa0;sr<sup>−1</sup>. RMSE values varied, with Rrs 710 showing the least error (0.0007&#xa0;sr<sup>−1</sup>) and Rrs 443 the most significant error (0.0035&#xa0;sr<sup>−1</sup>). The estimated bias (0.99&#xa0;mg/m<sup>3</sup>) and mean absolute error (1.59&#xa0;mg/m<sup>3</sup>) for Chl-a in the Bay of Bengal region align with findings from other studies.</p>

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Validation of OCM3 Operational Products Along the Coastal Waters of Southern Bay of Bengal Using In-Situ Measurements and Statistical Analysis

  • 期刊论文

  • 发表日期：

    2025年10月31日

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  • V. Niranjana,
  • RM. Narayanan,
  • P. V. Nagamani,
  • Arvind Sahay,
  • K. Mohammed Suhail,
  • Thumu Devi Vara Prasad Rao,
  • AR. Vijayalakshmi,
  • K. N. Babu

摘要

The Indian Space Research Organisation (ISRO) launched Oceansat-3 to gather crucial ocean surface data for climate and marine resource monitoring. This study aims to validate Oceansat-3’s operational products (remote sensing reflectance, Rrs, and Chlorophyll-a concentration, Chl-a) in the southern Bay of Bengal through in-situ measurements. In-situ data were collected using boat and ship cruise. Statistical methods, including Mean Bias (MB), Mean Absolute Error (MAE), Root Mean Square Error (RMSE), coefficient of determination (R2), frequency distribution, and Bland Altman Plot, were employed to quantify the assessment between satellite and in-situ data. Results indicate consistency of Oceansat-3 products in representing oceanographic features, even though observed changes in OCM3 spectral remote sensing reflectance accuracy during the measurement period, the Bland-Altman plot results reveal that the mean bias approaches zero, indicating negligible systematic errors between in-situ and satellite-derived Rrs, thus reflecting commendable concordance between the two measurements. Further, the MAE values spanned from 0.001 to 0.003 sr−1. RMSE values varied, with Rrs 710 showing the least error (0.0007 sr−1) and Rrs 443 the most significant error (0.0035 sr−1). The estimated bias (0.99 mg/m3) and mean absolute error (1.59 mg/m3) for Chl-a in the Bay of Bengal region align with findings from other studies.