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Research Article

Improving GOCI ocean color data under high solar-zenith angle over open oceans using neural networks

ORCID Icon & ORCID Icon
Article: 2353426 | Received 26 Jan 2024, Accepted 06 May 2024, Published online: 16 May 2024

References

  • Behrenfeld, M. J., Y. Hu, K. M. Bisson, X. Lu, and T. K. Westberry. 2022. “Retrieval of Ocean Optical and Plankton Properties with the Satellite Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) Sensor: Background, Data Processing, and Validation Status.” Remote Sensing of Environment 281:113235. https://doi.org/10.1016/j.rse.2022.113235.
  • Cheng, Z., X. H. Wang, D. Paull, and J. Gao. 2016. “Application of the Geostationary Ocean Color Imager to Mapping the Diurnal and Seasonal Variability of Surface Suspended Matter in a Macro-Tidal Estuary.” Remote Sensing 8 (3): 244. https://doi.org/10.3390/rs8030244.
  • Choi, J.-K., J.-E. Min, J. H. Noh, T.-H. Han, S. Yoon, Y. J. Park, J.-E. Moon, J.-H. Ahn, S. M. Ahn, and J.-H. Park. 2014. “Harmful Algal Bloom (HAB) in the East Sea Identified by the Geostationary Ocean Color Imager (GOCI).” Harmful Algae 39:295–18. https://doi.org/10.1016/j.hal.2014.08.010.
  • Choi, J. K., Y. J. Park, J. H. Ahn, H. S. Lim, J. Eom, and J. H. Ryu. 2012. “GOCI, the world’s First Geostationary Ocean Color Observation Satellite, for the Monitoring of Temporal Variability in Coastal Water Turbidity.” Journal of Geophysical Research: Oceans 117:C09004. https://doi.org/10.1029/2012JC008046. C9
  • Doerffer, R., and H. Schiller. 2007. “The MERIS Case 2 Water Algorithm.” International Journal of Remote Sensing 28 (3–4): 517–535. https://doi.org/10.1080/01431160600821127.
  • Donlon, C., B. Berruti, A. Buongiorno, M.-H. Ferreira, P. Femenias, J. Frerick, P. Goryl, et al. 2012. “The Global Monitoring for Environment and Security (GMES) Sentinel-3 Mission.” Remote Sensing of Environment 120:37–57. https://doi.org/10.1016/j.rse.2011.07.024.
  • Doxaran, D., N. Lamquin, Y. J. Park, C. Mazeran, J. H. Ryu, M. Wang, and A. Poteau. 2014. “Retrieval of the Seawater Reflectance for Suspended Solids Monitoring in the East China Sea Using MODIS, MERIS and GOCI Satellite Data.” Remote Sensing of Environment 146:36–48. https://doi.org/10.1016/j.rse.2013.06.020.
  • Esaias, W. E., M. R. Abbott, I. Barton, O. B. Brown, J. W. Campbell, K. L. Carder, D. K. Clark, et al. 1998. “An Overview of MODIS Capabilities for Ocean Science Observations.” IEEE Transactions on Geoscience and Remote Sensing: A Publication of the IEEE Geoscience and Remote Sensing Society 36 (4): 1250–1265. https://doi.org/10.1109/36.701076.
  • Fan, Y., W. Li, C. K. Gatebe, C. Jamet, G. Zibordi, T. Schroeder, and K. Stamnes. 2017. “Atmospheric Correction Over Coastal Waters Using Multilayer Neural Networks.” Remote Sensing of Environment 199:218–240. https://doi.org/10.1016/j.rse.2017.07.016.
  • Goldberg, M. D., H. Kilcoyne, H. Cikanek, and A. Mehta. 2013. “Joint Polar Satellite System: The United States Next Generation Civilian Polar-Orbiting Environmental Satellite System.” Journal of Geophysical Research: Atmospheres 118 (24): 13463–13475. https://doi.org/10.1002/2013JD020389.
  • Gordon, H. R., O. B. Brown, R. H. Evans, J. W. Brown, R. C. Smith, K. S. Baker, and D. K. Clark. 1988. “A Semianalytic Radiance Model of Ocean Color.” Journal of Geophysical Research: Atmospheres 93 (D9): 10909–10924. https://doi.org/10.1029/JD093iD09p10909.
  • 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): 443–452. 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.
  • Huang, C., H. Yang, A.-X. Zhu, M. Zhang, H. Lü, T. Huang, J. Zou, and Y. Li. 2015. “Evaluation of the Geostationary Ocean Color Imager (GOCI) to Monitor the Dynamic Characteristics of Suspension Sediment in Taihu Lake.” International Journal of Remote Sensing 36 (15): 3859–3874. https://doi.org/10.1080/01431161.2015.1070323.
  • IOCCG. 2010. “Atmospheric Correction for Remotely-Sensed Ocean-Colour Products.” In Reports of the International Ocean-Colour Coordinating Group, No. 10, edited by M. Wang. Dartmouth, Canada: IOCCG. https://doi.org/10.25607/OBP-101.
  • Jiang, L., and M. Wang. 2014. “Improved Near-Infrared Ocean Reflectance Correction Algorithm for Satellite Ocean Color Data Processing.” Optics Express 22 (18): 21657–21678. https://doi.org/10.1364/OE.22.021657.
  • Lee, Z., and C. Hu. 2006. “Global Distribution of Case-1 Waters: An Analysis from SeaWiFS Measurements.” Remote Sensing of Environment 101 (2): 270–276. https://doi.org/10.1016/j.rse.2005.11.008.
  • Li, H., X. He, Y. Bai, P. Shanmugam, Y.-J. Park, J. Liu, Q. Zhu, F. Gong, D. Wang, and H. Huang. 2020. “Atmospheric Correction of Geostationary Satellite Ocean Color Data Under High Solar Zenith Angles in Open Oceans.” Remote Sensing of Environment 249:112022. https://doi.org/10.1016/j.rse.2020.112022.
  • Liu, J., J. Liu, X. He, D. Pan, Y. Bai, F. Zhu, T. Chen, and Y. Wang. 2018. “Diurnal Dynamics and Seasonal Variations of Total Suspended Particulate Matter in Highly Turbid Hangzhou Bay Waters Based on the Geostationary Ocean Color Imager.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 11 (7): 2170–2180. https://doi.org/10.1109/JSTARS.2018.2830335.
  • Liu, X., and M. Wang. 2016. “Analysis of Diurnal Variations from the Korean Geostationary Ocean Color Imager Measurements Using the DINEOF Method.” Estuarine, Coastal and Shelf Science 180:230–241. https://doi.org/10.1016/j.ecss.2016.07.006.
  • Lou, X., and C. Hu. 2014. “Diurnal Changes of a Harmful Algal Bloom in the East China Sea: Observations from GOCI. Remote Sens.” Remote Sensing of Environment 140:562–572. https://doi.org/10.1016/j.rse.2013.09.031.
  • McClain, C. R., G. C. Feldman, and S. B. Hooker. 2004. “An Overview of the SeaWiFS Project and Strategies for Producing a Climate Research Quality Global Ocean Bio-Optical Time Series.” Deep Sea Research Part II: Topical Studies in Oceanography 51 (1–3): 5–42. https://doi.org/10.1016/j.dsr2.2003.11.001.
  • Mikelsons, K., M. Wang, and L. Jiang. 2020. “Statistical Evaluation of Satellite Ocean Color Data Retrievals.” Remote Sensing of Environment 237:111601. https://doi.org/10.1016/j.rse.2019.111601.
  • O’Reilly, J. E., S. Maritorena, B. G. Mitchell, D. A. Siegel, K. L. Carder, S. A. Garver, M. Kahru, and C. R. McClain. 1998. “Ocean Color Chlorophyll Algorithms for SeaWiFS.” Journal of Geophysical Research: Atmospheres 103 (C11): 24937–24953. https://doi.org/10.1029/98JC02160.
  • O’Reilly, J. E., and P. J. Werdell. 2019. “Chlorophyll Algorithms for Ocean Color Sensors - OC4, OC5 & OC6. Remote Sens.” Remote Sensing of Environment 229:32–47. https://doi.org/10.1016/j.rse.2019.04.021.
  • Park, M.-S., S. Lee, J.-H. Ahn, S.-J. Lee, J.-K. Choi, and J.-H. Ryu. 2022. “Decadal Measurements of the First Geostationary Ocean Color Satellite (GOCI) Compared with MODIS and VIIRS Data.” Remote Sensing 14 (1): 72. https://doi.org/10.3390/rs14010072.
  • Ryu, J.-H., H.-J. Han, S. Cho, Y.-J. Park, and Y.-H. Ahn. 2012. “Overview of Geostationary Ocean Color Imager (GOCI) and GOCI Data Processing System (GDPS).” Ocean Science Journal 47 (3): 223–233. https://doi.org/10.1007/s12601-012-0024-4.
  • Salomonson, V. V., W. L. Barnes, P. W. Maymon, H. E. Montgomery, and H. Ostrow. 1989. “MODIS: Advanced Facility Instrument for Studies of the Earth as a System.” IEEE Transactions on Geoscience and Remote Sensing: A Publication of the IEEE Geoscience and Remote Sensing Society 27 (2): 145–153. https://doi.org/10.1109/36.20292.
  • Shi, W., and M. Wang. 2014. “Ocean Reflectance Spectra at the Red, Near-Infrared, and Shortwave Infrared from Highly Turbid Waters: A Study in the Bohai Sea, Yellow Sea, and East China Sea.” Limnology & Oceanography 59 (2): 427–444. https://doi.org/10.4319/lo.2014.59.2.0427.
  • Tanaka, A., M. Kishino, R. Doerffer, H. Schiller, T. Oishi, and T. Kubota. 2004. “Development of a Neural Network Algorithm for Retrieving Concentrations of Chlorophyll, Suspended Matter and Yellow Substance from Radiance Data of the Ocean Color and Temperature Scanner.” Journal of Oceanography 60 (3): 519–530. https://doi.org/10.1023/B:JOCE.0000038345.99050.c0.
  • Wang, M. 2007. “Remote Sensing of the Ocean Contributions from Ultraviolet to Near-Infrared Using the Shortwave Infrared Bands: Simulations.” Applied Optics 46 (9): 1535–1547. https://doi.org/10.1364/AO.46.001535.
  • Wang, M., J. H. Ahn, L. Jiang, W. Shi, S. Son, Y. J. Park, and J. H. Ryu. 2013. “Ocean Color Products from the Korean Geostationary Ocean Color Imager (GOCI).” Optics Express 21 (3): 3835–3849. https://doi.org/10.1364/OE.21.003835.
  • Wang, M., and S. Bailey. 2001. “Correction of the Sun Glint Contamination on the SeaWiFS Ocean and Atmosphere Products.” Applied Optics 40 (27): 4790–4798. https://doi.org/10.1364/AO.40.004790.
  • Wang, M., A. Isaacman, B. A. Franz, and C. R. McClain. 2002. “Ocean-Color Optical Property Data Derived from the Japanese Ocean Color and Temperature Scanner and the French Polarization and Directionality of the Earth’s Reflectances: A Comparison Study.” Applied Optics 41 (6): 974–990. https://doi.org/10.1364/AO.41.000974.
  • 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): 741–753. https://doi.org/10.1364/OE.20.000741.
  • Wang, M., W. Shi, and L. Jiang. 2023. “Characterization of Ocean Color Retrievals and Ocean Diurnal Variations Using the Geostationary Ocean Color Imager (GOCI).” International Journal of Applied Earth Observation and Geoinformation 122:103404. https://doi.org/10.1016/j.jag.2023.103404.
  • Wang, M., S. Son, W. Lawrence, and J. Harding. 2009. “Retrieval of Diffuse Attenuation Coefficient in the Chesapeake Bay and Turbid Ocean Regions for Satellite Ocean Color Applications.” Journal of Geophysical Research Oceans 114 (C10): C10011. https://doi.org/10.1029/2009JC005286.
  • Wei, J., M. Wang, K. Mikelsons, L. Jiang, S. Kratzer, Z. Lee, T. Moore, H. M. Sosik, and D. Van der Zande. 2022. “Global Satellite Water Classification Data Products Over Oceanic, Coastal, and Inland Waters.” Remote Sensing of Environment 282:113233. https://doi.org/10.1016/j.rse.2022.113233.
  • Wu, J., J. I. Goes, H. Do Rosario Gomes, Z. Lee, J.-H. Noh, J. Wei, Z. Shang, et al. 2022. “Estimates of Diurnal and Daily Net Primary Productivity Using the Geostationary Ocean Color Imager (GOCI) Data.” Remote Sensing of Environment 280:113183. https://doi.org/10.1016/j.rse.2022.113183.
  • Yang, H., J. K. Choi, Y. J. Park, H. J. Han, and J. H. Ryu. 2014. “Application of the Geostationary Ocean Color Imager (GOCI) to Estimates of Ocean Surface Currents.” Journal of Geophysical Research Oceans 119 (6): 3988–4000. https://doi.org/10.1002/2014JC009981.
  • Zhang, Z., P. Chen, C. Jamet, D. Dionisi, Y. Hu, X. Lu, and D. Pan. 2023. “Retrieving Bbp and POC from CALIOP: A Deep Neural Network Approach.” Remote Sensing of Environment 287:113482. https://doi.org/10.1016/j.rse.2023.113482.