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Research Article

A new combined atmospheric correction algorithm for GOCI-2 Data over coastal waters assessed by long-term satellite ocean color platforms

ORCID Icon, , , , &
Pages 1640-1657 | Received 26 Jun 2023, Accepted 23 Jan 2024, Published online: 19 Feb 2024

References

  • Ahn, J.-H., Y.-J. Park, and H. Fukushima. 2018. “Comparison of Aerosol Reflectance Correction Schemes Using Two Near-Infrared Wavelengths for Ocean Color Data Processing.” Remote Sensing 10 (11): 1791. https://doi.org/10.3390/rs10111791.
  • Ahn, J.-H., Y.-J. Park, W. Kim, and B. Lee. 2016. “Simple Aerosol Correction Technique Based on the Spectral Relationships of the Aerosol Multiple-Scattering Reflectances for Atmospheric Correction Over the Oceans.” Optics Express 24 (26): 29659. https://doi.org/10.1364/OE.24.029659.
  • Ahn, J.-H., and Y.-J. Park. 2020. “Estimating Water Reflectance at Near-Infrared Wavelengths for Turbid Water Atmospheric Correction: A Preliminary Study for GOCI-.” Remote Sensing 12 (22): 3791. https://doi.org/10.3390/rs12223791.
  • Ahn, J.-H., Y.-J. Park, J.-H. Ryu, B. Lee, and I. S. Oh. 2012. “Development of Atmospheric Correction Algorithm for Geostationary Ocean Color Imager (GOCI).” Ocean Science Journal 47 (3): 247–259. https://doi.org/10.1007/s12601-012-0026-2.
  • Bailey, S. W., B. A. Franz, and P. Jeremy Werdell. 2010. “Estimation of Near-Infrared Water-Leaving Reflectance for Satellite Ocean Color Data Processing.” Optics Express 18 (7): 7521. https://doi.org/10.1364/OE.18.007521.
  • Chen, J., T. Cui, and C. Lin. 2014. “An Improved SWIR Atmospheric Correction Model: A Cross-Calibration-Based Model.” IEEE Transactions on Geoscience and Remote Sensing 52 (7): 3959–3967. https://doi.org/10.1109/TGRS.2013.2278340.
  • Choudhary, R., and H. K. Gianey. 2017. “Comprehensive Review on Supervised Machine Learning Algorithms.” In 2017 International Conference on Machine Learning and Data Science (MLDS), Noida, December, 37–43. IEEE.
  • Gordon, H. R. 1978. “Removal of Atmospheric Effects from Satellite Imagery of the Oceans.” Applied Optics 17 (10): 1631. https://doi.org/10.1364/AO.17.001631.
  • Gordon, H. R., J. W. Brown, and R. H. Evans. 1988. “Exact Rayleigh Scattering Calculations for Use with the Nimbus-7 Coastal Zone Color Scanner.” Applied Optics 27 (5): 862. https://doi.org/10.1364/AO.27.000862.
  • Gordon, H. R., and M. Wang. 1992. “Surface-Roughness Considerations for Atmospheric Correction of Ocean Color Sensors 1: The Rayleigh-Scattering Component.” Applied Optics 31 (21): 4247. https://doi.org/10.1364/AO.31.004247.
  • Gordon, H. R., and M. Wang. 1994. “Retrieval of Water-Leaving Radiance and Aerosol Optical Thickness Over the Oceans with SeaWifs: A Preliminary Algorithm.” Applied Optics 33 (3): 443. https://doi.org/10.1364/AO.33.000443.
  • He, X., Y. Bai, D. Pan, N. Huang, X. Dong, J. Chen, C.-T. A. Chen, and Q. Cui. 2013. “Using Geostationary Satellite Ocean Color Data to Map the Diurnal Dynamics of Suspended Particulate Matter in Coastal Waters.” Remote Sensing of Environment 133:225–239. https://doi.org/10.1016/j.rse.2013.01.023.
  • He, X., Y. Bai, D. Pan, J. Tang, and D. Wang. 2012. “Atmospheric Correction of Satellite Ocean Color Imagery Using the Ultraviolet Wavelength for Highly Turbid Waters.” Optics Express 20 (18): 20754. https://doi.org/10.1364/OE.20.020754.
  • Jiang, L., and M. Wang. 2014. “Improved Near-Infrared Ocean Reflectance Correction Algorithm for Satellite Ocean Color Data Processing.” Optics Express 22 (18): 21657. https://doi.org/10.1364/OE.22.021657.
  • Jukić, D., and R. Scitovski. 2003. “Solution of the Least-Squares Problem for Logistic Function.” Journal of Computational and Applied Mathematics 156 (1): 159–177. https://doi.org/10.1016/S0377-0427(02)00910-X.
  • Lavender, S. J., M. H. Pinkerton, G. F. Moore, J. Aiken, and D. Blondeau-Patissier. 2005. “Modification to the Atmospheric Correction of SeaWifs Ocean Colour Images Over Turbid Waters.” Continental Shelf Research 25 (4): 539–555. https://doi.org/10.1016/j.csr.2004.10.007.
  • Liu, H., S. Hu, Q. Zhou, Q. Li, and G. Wu. 2019. “Revisiting Effectiveness of Turbidity Index for the Switching Scheme of NIR-SWIR Combined Ocean Color Atmospheric Correction Algorithm.” International Journal of Applied Earth Observation and Geoinformation 76:1–9. https://doi.org/10.1016/j.jag.2018.10.010.
  • Morel, A., D. Antoine, and B. Gentili. 2002. “Bidirectional Reflectance of Oceanic Waters: Accounting for Raman Emission and Varying Particle Scattering Phase Function.” Applied Optics 41 (30): 6289. https://doi.org/10.1364/AO.41.006289.
  • Morel, A., and S. Bélanger. 2006. “Improved Detection of Turbid Waters from Ocean Color Sensors Information.” Remote Sensing of Environment 102 (3–4): 237–249. https://doi.org/10.1016/j.rse.2006.01.022.
  • Pahlevan, N., J.-C. Roger, and Z. Ahmad. 2017. “Revisiting Short-Wave-Infrared (SWIR) Bands for Atmospheric Correction in Coastal Waters.” Optics Express 25 (6): 6015. https://doi.org/10.1364/OE.25.006015.
  • Qiao, F., J. Chen, Z. Mao, B. Han, Q. Song, Y. Xu, and Q. Zhu. 2021. “A Novel Framework of Integrating UV and NIR Atmospheric Correction Algorithms for Coastal Ocean Color Remote Sensing.” Remote Sensing 13 (21): 4206. https://doi.org/10.3390/rs13214206.
  • Shanmugam, V., P. Shanmugam, and X. He. 2019. “New Algorithm for Computation of the Rayleigh-Scattering Radiance for Remote Sensing of Water Color from Space.” Optics Express 27 (21): 30116. https://doi.org/10.1364/OE.27.030116.
  • Shi, W., and M. Wang. 2007. “Detection of Turbid Waters and Absorbing Aerosols for the MODIS Ocean Color Data Processing.” Remote Sensing of Environment 110 (2): 149–161. https://doi.org/10.1016/j.rse.2007.02.013.
  • Siegel, D. A., M. Wang, S. Maritorena, and W. Robinson. 2000. “Atmospheric Correction of Satellite Ocean Color Imagery: The Black Pixel Assumption.” Applied Optics 39 (21): 3582. https://doi.org/10.1364/AO.39.003582.
  • Song, Q., S. Chen, L. Hu, X. Wang, X. Shi, X. Li, L. Deng, and C. Ma. 2022. “Introducing Two Fixed Platforms in the Yellow Sea and East China Sea Supporting Long-Term Satellite Ocean Color Validation: Preliminary Data and Results.” Remote Sensing 14 (12): 2894. https://doi.org/10.3390/rs14122894.
  • Thuillier, G., M. Hers, P. C. Simon, D. Labs, H. Mandel, and D. Gillotay. 1998. “Observation of the Solar Spectral Irradiance from 200 Nm to 870 Nm During the ATLAS 1 and ATLAS 2 Missions by the SOLSPEC Spectrometer.” Metrologia 35 (4): 689–695. https://doi.org/10.1088/0026-1394/35/4/79.
  • Wang, M. 2002. “The Rayleigh Lookup Tables for the SeaWifs Data Processing: Accounting for the Effects of Ocean Surface Roughness.” International Journal of Remote Sensing 23 (13): 2693–2702. https://doi.org/10.1080/01431160110115591.
  • Wang, M. 2005. “A Refinement for the Rayleigh Radiance Computation with Variation of the Atmospheric Pressure.” International Journal of Remote Sensing 26 (24): 5651–5663. https://doi.org/10.1080/01431160500168793.
  • Wang, M. 2016. “Rayleigh Radiance Computations for Satellite Remote Sensing: Accounting for the Effect of Sensor Spectral Response Function.” Optics Express 24 (11): 12414. https://doi.org/10.1364/OE.24.012414.
  • Wang, M., and W. Shi. 2007. “The NIR-SWIR Combined Atmospheric Correction Approach for MODIS Ocean Color Data Processing.” Optics Express 15 (24): 15722. https://doi.org/10.1364/OE.15.015722.
  • Wang, M., W. Shi, and L. Jiang. 2012. “Atmospheric Correction Using Near-Infrared Bands for Satellite Ocean Color Data Processing in the Turbid Western Pacific Region.” Optics Express 20 (2): 741. https://doi.org/10.1364/OE.20.000741.
  • Wang, M., S. Son, and W. Shi. 2009. “Evaluation of MODIS SWIR and NIR-SWIR Atmospheric Correction Algorithms Using SeaBass Data.” Remote Sensing of Environment 113 (3): 635–644. https://doi.org/10.1016/j.rse.2008.11.005.
  • Werdell, P. J., B. A. Franz, and S. W. Bailey. 2010. “Evaluation of Shortwave Infrared Atmospheric Correction for Ocean Color Remote Sensing of Chesapeake Bay.” Remote Sensing of Environment 114 (10): 2238–2247. https://doi.org/10.1016/j.rse.2010.04.027.
  • Xue, C., S. Chen, Z. Lee, L. Hu, X. Shi, M. Lin, J. Liu, C. Ma, Q. Song, and T. Zhang. 2021. “Iterative Near-Infrared Atmospheric Correction Scheme for Global Coastal Waters.” ISPRS Journal of Photogrammetry and Remote Sensing 179:92–107. https://doi.org/10.1016/j.isprsjprs.2021.07.005.

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