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Review Article

Recent advances in geostationary satellites for inland and coastal aquatic systems: scientific research and applications

ORCID Icon, , , & ORCID Icon
Pages 1574-1607 | Received 18 Oct 2023, Accepted 28 Jan 2024, Published online: 15 Feb 2024

References

  • Ahn, Y.-H., J.-E. Moon, and S. Gallegos. 2001. “Development of Suspended Particulate Matter Algorithms for Ocean Color Remote Sensing.” Korean Journal of Remote Sensing 17 (4): 285–295.
  • Ahn, J., Park, Y., Kim, W, and Lee, B. 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., Park, Y., Kim, W., Lee, B, and Oh, I.–S. 2015. “Vicarious calibration of the Geostationary Ocean Color Imager.” Optics Express, 23(18): 23236. https://doi.org/10.1364/OE.23.023236.
  • 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.
  • Allard, M. 2006. ‘Noaa’s NowCOAST: A Gis-Web Mapping Portal to Discover and Display Real-Time Coastal Observations, Satellite Imagery and NOAA Forecasts’. In 15th Symposium on Education, Atlanta, Geórgia, United States of America.
  • Apel, J. R. 1980. “Satellite Sensing of Ocean Surface Dynamics.” Annual Review of Earth and Planetary Sciences 8 (1): 303–342. https://doi.org/10.1146/annurev.ea.08.050180.001511.
  • Aranha, T. R. B. T., J.-M. Martinez, E. P. Souza, M. U. G. Barros, and E. S. P. R. Martins. 2022. “Remote Analysis of the Chlorophyll-A Concentration Using Sentinel-2 MSI Images in a Semiarid Environment in Northeastern Brazil.” Water 14 (3): 451. https://doi.org/10.3390/w14030451.
  • Asaoka, S., S. Nakada, A. Umehara, J. Ishizaka, and W. Nishijima. 2020. “Estimation of Spatial Distribution of Coastal Ocean Primary Production in Hiroshima Bay, Japan, with a Geostationary Ocean Color Satellite.” Estuarine, Coastal and Shelf Science 244:106897. https://doi.org/10.1016/j.ecss.2020.106897.
  • Bai, S., J. Gao, D. Sun, and M. Tian. 2020. “Monitoring Water Transparency in Shallow and Eutrophic Lake Waters Based on GOCI Observations.” Remote Sensing 12 (1): 163.
  • Bao, Y., Q. Tian, and M. Chen. 2015. “A Weighted Algorithm Based on Normalized Mutual Information for Estimating the Chlorophyll-A Concentration in Inland Waters Using Geostationary Ocean Color Imager (GOCI) Data.” Remote Sensing 7 (9): 11731–11752. https://doi.org/10.3390/rs70911731.
  • Barrett, E. C., and M. G. Hamilton. 1982. “The Use of Geostationary Satellite Data in Environmental Science.” Progress in Physical Geography: Earth and Environment 6 (2): 159–214. https://doi.org/10.1177/030913338200600201.
  • Barton, I., and A. Pearce. 2006. “Validation of GLI and Other Satellite-Derived Sea Surface Temperatures Using Data from the Rottnest Island Ferry, Western Australia.” Journal of Oceanography 62 (3): 303–310. https://doi.org/10.1007/s10872-006-0055-5.
  • Bernardo, N., E. Alcântara, F. Watanabe, T. Rodrigues, A. Carmo, A. Gomes, and C. Andrade. 2018. “Glint Removal Assessment to Estimate the Remote Sensing Reflectance in Inland Waters with Widely Differing Optical Properties.” Remote Sensing 10 (10): 1655. https://doi.org/10.3390/rs10101655.
  • Bessho, K., K. Date, M. Hayashi, A. Ikeda, T. Imai, H. Inoue, Y. Kumagai, T. Miyakawa, H. Murata, and T. Ohno. 2016. “An Introduction to Himawari-8/9—japan’s New-Generation Geostationary Meteorological Satellites.” Journal of the Meteorological Society of Japan 94 (2): 151–183. https://doi.org/10.2151/jmsj.2016-009.
  • Bracaglia, M., R. Santoleri, G. Volpe, S. Colella, M. Benincasa, and V. Ernesto Brando. 2020. “A Virtual Geostationary Ocean Color Sensor to Analyze the Coastal Optical Variability.” Remote Sensing 12 (10): 1539. https://doi.org/10.3390/rs12101539.
  • Brezonik, P., K. D. Menken, and M. Bauer. 2005. “Landsat-Based Remote Sensing of Lake Water Quality Characteristics, Including Chlorophyll and Colored Dissolved Organic Matter (CDOM).” Lake and Reservoir Management 21 (4): 373–382. https://doi.org/10.1080/07438140509354442.
  • Bu, J., L. Cai, X. Yan, H. Xu, H. Hu, and J. Jiang. 2022. “Monitoring the Chl-A Distribution Details in the Yangtze River Mouth Using Satellite Remote Sensing.” Water 14 (8): 1295. https://doi.org/10.3390/w14081295.
  • Bulgarelli, B., and G. Zibordi. 2018. “On the Detectability of Adjacency Effects in Ocean Color Remote Sensing of Mid-Latitude Coastal Environments by SeaWiFS, MODIS-A, MERIS, OLCI, OLI and MSI.” Remote Sensing of Environment 209:423–438. 10.1016/j.rse.2017.12.021.
  • Capderou, M. 2014. Handbook of Satellite Orbits: From Kepler to GPS. Cham, Switzerland: Springer Science & Business.
  • Castelao, R. M., T. P. Mavor, J. A. Barth, and L. C. Breaker. 2006. “Sea Surface Temperature Fronts in the California Current System from Geostationary Satellite Observations.” Journal of Geophysical Research Oceans 111 (C9). https://doi.org/10.1029/2006JC003541.
  • Chamberlin, J. L. 1982. “Application of Satellite Infrared Data to Analysis of Ocean Frontal Movements and Water Mass Interactions off Northeastern United States.” Stud 4:21–30.
  • Cheng, Z., X. Hua 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.
  • Chen, S., L. Han, X. Chen, D. Li, L. Sun, and Y. Li. 2015. “Estimating Wide Range Total Suspended Solids Concentrations from MODIS 250-M Imageries: An Improved Method.” Isprs Journal of Photogrammetry & Remote Sensing 99:58–69. 10.1016/j.isprsjprs.2014.10.006.
  • Chen, X., S. Shang, Z. Lee, L. Qi, J. Yan, and Y. Li. 2019. “High-Frequency Observation of Floating Algae from AHI on Himawari-8.” Remote Sensing of Environment 227:151–161. https://doi.org/10.1016/j.rse.2019.03.038.
  • Chen, J., Y. Wu, S. Wu, L. Xie, J. Tang, Z. Xu, X. Han, et al. 2023. “Application of FY-4B Geostationary Meteorological Satellite in Grassland Fire Dynamic Monitoring.” IEEE Transactions on Geoscience and Remote Sensing 61:1–9. https://doi.org/10.1109/TGRS.2023.3274630.
  • Choi, J.-K., Y. Je Park, J. Hyun 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 (C9). https://doi.org/10.1029/2012JC008046.
  • Choi, J.-K., Y. Je Park, B. R. Lee, J. Eom, J.-E. Moon, and J.-H. Ryu. 2014. “Application of the Geostationary Ocean Color Imager (GOCI) to Mapping the Temporal Dynamics of Coastal Water Turbidity.” Remote Sensing of Environment 146:24–35. 10.1016/j.rse.2013.05.032.
  • Choi, J.-K., M.-S. Park, K.-S. Han, H.-C. Kim, and J. Im. 2021. “One Year of GOCI-II Launch Present and Future.” 대한원격탐사학회. https://doi.org/10.7780/kjrs.2021.37.5.2.1.
  • Clarke, A. C. 1945. “Extra-Terrestrial Relays.” Electronics World 119 (1924): 14–19.
  • Constantin, S., D. Doxaran, A. Derkacheva, S. Novoa, and H. Lavigne. 2018. “Multi-Temporal Dynamics of Suspended Particulate Matter in a Macro-Tidal River Plume (The Gironde) as Observed by Satellite Data.” Estuarine, Coastal and Shelf Science 202:172–184. https://doi.org/10.1016/j.ecss.2018.01.004.
  • Darnell, W. L., and R. C. Harriss. 1983. “Satellite Sensing Capabilities for Surface Temperature and Meteorological Parameters Over the Ocean.” International Journal of Remote Sensing 4 (1): 65–92. https://doi.org/10.1080/01431168308948531.
  • Davis, C. O., and M. Abbott. 2005. ‘A New Capability for Monitoring the Coastal Ocean from Geostationary Orbit’. In Proceedings of OCEANS 2005 MTS/IEEE, 1459–1463. Washington, D.C., United States of America: IEEE.
  • Dorji, P., and P. Fearns. 2018. “Atmospheric Correction of Geostationary Himawari-8 Satellite Data for Total Suspended Sediment Mapping: A Case Study in the Coastal Waters of Western Australia.” Isprs Journal of Photogrammetry & Remote Sensing 144:81–93. https://doi.org/10.1016/j.isprsjprs.2018.06.019.
  • Dorji, P., P. Fearns, and M. Broomhall. 2016. “A Semi-Analytic Model for Estimating Total Suspended Sediment Concentration in Turbid Coastal Waters of Northern Western Australia Using MODIS-Aqua 250 M Data.” Remote Sensing 8 (7): 556.
  • Duan, H., R. Ma, Y. Zhang, S. Arthur Loiselle, J. Xu, C. Zhao, L. Zhou, and L. Shang. 2010. “A New Three-Band Algorithm for Estimating Chlorophyll Concentrations in Turbid Inland Lakes.” Environmental Research Letters 5 (4): 044009. https://doi.org/10.1088/1748-9326/5/4/044009.
  • Du, Z., J. Qi, S. Wu, F. Zhang, and R. Liu. 2021. “A Spatially Weighted Neural Network Based Water Quality Assessment Method for Large-Scale Coastal Areas.” Environmental Science & Technology 55 (4): 2553–2563. 10.1021/acs.est.0c05928.
  • Emberton, S., L. Chittka, A. Cavallaro, and M. Wang. 2016. “Sensor Capability and Atmospheric Correction in Ocean Colour Remote Sensing.” Remote Sensing 8 (1): 1. https://doi.org/10.3390/rs8010001.
  • Eom, J., J.-K. Choi, J.-S. Won, J.-H. Ryu, D. Doxaran, K. Ruddick, and S. Lee. 2017. “Spatiotemporal Variation in Suspended Sediment Concentrations and Related Factors of Coastal Waters Based on Multispatial Satellite Data in Gyeonggi Bay, Korea.” Journal of Financial Stability 33 (3): 653–667. https://doi.org/10.2112/JCOASTRES-D-16-00012.1.
  • European Space Agency. 2022. ‘Satellite Missions Catalogue’. https://www.eoportal.org/satellite-missions.
  • Feng, J., H. Chen, H. Zhang, Z. Li, Y. Yu, Y. Zhang, M. Bilal, and Z. Qiu. 2020. “Turbidity Estimation from GOCI Satellite Data in the Turbid Estuaries of China’s Coast.” Remote Sensing 12 (22): 3770. https://doi.org/10.3390/rs12223770.
  • Fu, S., X. Lou, J. Yang, P. Wang, W. Guan, and D. Fu. 2021. ‘Multi-Satellite Observation of a Harmful Algal Bloom in the Beibu Gulf, South China Sea’. In 2021 Photonics & Electromagnetics Research Symposium (PIERS), 2329–2335. Hangzhou, Zhejiang, China: IEEE.
  • Garriott, O. K., F. L. Smith, and P. C. Yuen. 1965. “Observations of Ionospheric Electron Content Using a Geostationary Satellite.” Planetary & Space Science 13 (8): 829–838. https://doi.org/10.1016/0032-0633(65)90119-4.
  • Ghilain, N., A. Arboleda, O. Batelaan, J. Ardö, I. Trigo, J.-M. Barrios, and F. Gellens-Meulenberghs. 2019. “A New Retrieval Algorithm for Soil Moisture Index from Thermal Infrared Sensor On-Board Geostationary Satellites Over Europe and Africa and Its Validation.” Remote Sensing 11 (17): 1968. https://doi.org/10.3390/rs11171968.
  • Gholizadeh, M. H., A. M. Melesse, and L. Reddi. 2016. “A Comprehensive Review on Water Quality Parameters Estimation Using Remote Sensing Techniques.” Sensors 16 (8): 1298. https://doi.org/10.3390/s16081298.
  • Giardino, C., M. Pepe, P. Alessandro Brivio, P. Ghezzi, and E. Zilioli. 2001. “Detecting Chlorophyll, Secchi Disk Depth and Surface Temperature in a Sub-Alpine Lake Using Landsat Imagery.” Science of the Total Environment 268 (1): 19–29. https://doi.org/10.1016/S0048-9697(00)00692-6.
  • Goldberg, M. D., S. Li, S. Goodman, D. Lindsey, B. Sjoberg, and D. Sun. 2018. “Contributions of Operational Satellites in Monitoring the Catastrophic Floodwaters Due to Hurricane Harvey.” Remote Sensing 10 (8): 1256. https://doi.org/10.3390/rs10081256.
  • 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.
  • Groom, S., S. Sathyendranath, Y. Ban, S. Bernard, R. Brewin, V. Brotas, C. Brockmann, et al. 2019. “Satellite Ocean Colour: Current Status and Future Perspective.“ Frontiers in Marine Science 6. https://doi.org/10.3389/fmars.2019.00485.
  • Guan, Q., L. Feng, X. Hou, G. Schurgers, Y. Zheng, and J. Tang. 2020. “Eutrophication Changes in Fifty Large Lakes on the Yangtze Plain of China Derived from MERIS and OLCI Observations.” Remote Sensing of Environment 246:111890. https://doi.org/10.1016/j.rse.2020.111890.
  • Guanter, L., Ruiz-Verdú, A., Odermatt, D., Giardino, C., Simis, S., Estellés, V., Heege, T., Domínguez-Gómez, J Antonio, and Moreno, J. 2010.“Atmospheric correction of ENVISAT/MERIS data over inland waters: Validation for European lakes.” Remote Sensing of Environment 114 3: 467–480. https://doi.org/10.1016/j.rse.2009.10.004.
  • Günthner, K., I. Khan, D. Elser, B. Stiller, Ö. Bayraktar, C. R. Müller, K. Saucke, et al. 2017. “Quantum-Limited Measurements of Optical Signals from a Geostationary Satellite.” Optica 4 (6): 611–616. https://doi.org/10.1364/OPTICA.4.000611.
  • Guo, Y., C. Huang, Y. Li, C. Du, Y. Li, W. Chen, L. Shi, and G. Ji. 2022. “An Expanded Three Band Model to Monitor Inland Optically Complex Water Using Geostationary Ocean Color Imager (GOCI).” Frontiers in Remote Sensing 3:3. https://doi.org/10.3389/frsen.2022.803884.
  • Hadjimitsis, D. G., and C. Clayton. 2009. “Assessment of Temporal Variations of Water Quality in Inland Water Bodies Using Atmospheric Corrected Satellite Remotely Sensed Image Data.” Environmental Monitoring and Assessment 159 (1): 281–292. https://doi.org/10.1007/s10661-008-0629-3.
  • He, X., Y. Bai, D. Pan, N. Huang, X. Dong, J. 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): 20754–20770. https://doi.org/10.1364/OE.20.020754.
  • He, A., X. He, Y. Bai, Q. Zhu, F. Gong, H. Huang, and D. Pan. 2019. “Simulation of Sedimentation in Lake Taihu with Geostationary Satellite Ocean Color Data.” Remote Sensing 11 (4): 379. https://doi.org/10.3390/rs11040379.
  • He, X., and D. Pan. 2003. “Practical Method of Atmospheric Correction of SeaWiFS Imagery for Turbid Coastal and Inland Waters.” . In Proceedings of the Conference on Ocean Remote Sensing and Applications. 24–26 October 2003. Hangzhou, China.
  • He, X., D. Pan, and Z. Mao. 2004. “Atmospheric Correction of SeaWiFS Imagery for Turbid Coastal and Inland Waters.” Acta Oceanologica Sinica 23 (4): 609–615.
  • Heta, Y., and Y. Mitsuta. 1993. “An Evaluation of Evaporation Over the Tropical Pacific Ocean as Observed from Satellites.” Journal of Applied Meteorology 32 (7): 1242–1247. https://doi.org/10.1175/1520-0450(1993)032<1242:AEOEOT>2.0.CO;2.
  • Higa, H., S. Sugahara, S. Ibrahim Salem, Y. Nakamura, and T. Suzuki. 2020. “An Estimation Method for Blue Tide Distribution in Tokyo Bay Based on Sulfur Concentrations Using Geostationary Ocean Color Imager (GOCI).” Estuarine, Coastal and Shelf Science 235:106615. https://doi.org/10.1016/j.ecss.2020.106615.
  • Higuchi, A. 2021. “Toward More Integrated Utilizations of Geostationary Satellite Data for Disaster Management and Risk Mitigation.” Remote Sensing 13 (8): 1553. https://doi.org/10.3390/rs13081553.
  • Højerslev, N. K. 1980. “Water Color and Its Relation to Primary Production.” Boundary-Layer Meteorology 18 (2): 203–220. https://doi.org/10.1007/BF00121324.
  • Holtorf, C., and A. Piccini. 2009. ‘Contemporary Archaeologies:Excavating Now’. Frankfurt: Peter Lang.
  • Hu, C. 2009. “A Novel Ocean Color Index to Detect Floating Algae in the Global Oceans.” Remote Sensing of Environment 113 (10): 2118–2129. https://doi.org/10.1016/j.rse.2009.05.012.
  • Huang, Z., and M. Feng. 2021. “MJO Induced Diurnal Sea Surface Temperature Variations off the Northwest Shelf of Australia Observed from Himawari Geostationary Satellite.” Deep Sea Research Part II: Topical Studies in Oceanography 183:104925. https://doi.org/10.1016/j.dsr2.2021.104925.
  • Huang, Z., J. Hu, and W. Shi. 2021. “Mapping the Coastal Upwelling East of Taiwan Using Geostationary Satellite Data.” Remote Sensing 13 (2): 170. https://doi.org/10.3390/rs13020170.
  • Huang, C., K. Shi, H. Yang, Y. Li, A. X. Zhu, D. Sun, L. Xu, J. Zou, and X. Chen. 2015. “Satellite Observation of Hourly Dynamic Characteristics of Algae with Geostationary Ocean Color Imager (GOCI) Data in Lake Taihu.” Remote Sensing of Environment 159:278–287. https://doi.org/10.1016/j.rse.2014.12.016.
  • 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.
  • Hubert, L. F., and L. F. Whitney. 1971. “Wind Estimation from Geostationary-Satellite Pictures.” Monthly Weather Review 99 (9): 665–672. https://doi.org/10.1175/1520-0493(1971)099<0665:WEFGP>2.3.CO;2.
  • Hu, C., Chen, Z., Clayton, T D., Swarzenski, P., Brock, J.-C, and Muller–Karger, F.-E. 2004. “Assessment of estuarine water-quality indicators using MODIS medium-resolution bands: Initial results from Tampa Bay, FL.” Remote Sensing of Environment 93 (3): 423–441. https://doi.org/10.1016/j.rse.2004.08.007.
  • Ilori, C. O., N. Pahlevan, and A. Knudby. 2019. “Analyzing Performances of Different Atmospheric Correction Techniques for Landsat 8: Application for Coastal Remote Sensing.” Remote Sensing 11 (4): 469. https://doi.org/10.3390/rs11040469.
  • IOCCG2006Remote Sensing of Inherent Optical Properties: Fundamentals, Tests of Algorithms, and Applicationsedited byIn Z.-P. LeeVol. 5Reports of the International Ocean Colour Coordinating GroupDartmouth, CanadaIOCCGhttps://doi.org/10.25607/OBP-96
  • IOCCG2012Ocean-Colour Observations from a Geostationary Orbitedited byIn D. AntoineVol. 12Reports of the International Ocean Colour Coordinating GroupDartmouth, CanadaIOCCGhttps://doi.org/10.25607/OBP-103
  • IOCCG2018Earth Observations in Support of Global Water Quality Monitoringedited byIn S. Greb, A. Dekker, and C. BindingVol. No. 17Reports of the International Ocean Colour Coordinating GroupDartmouth, CanadaIOCCGhttps://doi.org/10.25607/OBP-113
  • Jiang, H., N. Lu, J. Qin, W. Tang, and L. Yao. 2019. “A Deep Learning Algorithm to Estimate Hourly Global Solar Radiation from Geostationary Satellite Data.” Renewable and Sustainable Energy Reviews 114:109327. https://doi.org/10.1016/j.rser.2019.109327.
  • Jo, Y.-H., X.-H. Yan, and F. Li. 2010. “Potential Applications of Geostationary Ocean Color Imagery for Physical-Biological Interactions.” In Geostationary Ocean Color Imager (GOCI) Technical Development, Operation, and Applications, edited by Y.-H. Ahn, D. Antoine, P. S. Bontempi, and D. Pan, Vol. 7861, 78610C. SPIE. https://doi.org/10.1117/12.869097.
  • Kay, S., J. D. Hedley, and S. Lavender. 2009. “Sun Glint Correction of High and Low Spatial Resolution Images of Aquatic Scenes: A Review of Methods for Visible and Near-Infrared Wavelengths.” Remote Sensing 1 (4): 697–730. https://doi.org/10.3390/rs1040697.
  • Kazi, L. I. 1990. Infrared and Visible Studies of Pakistan Portion of Arabian Sea Using INSAT Geostationary Satellite. University of Miami.
  • Kim, Y. H., J. Im, H. K. Ha, J.-K. Choi, and S. Ha. 2014. “Machine Learning Approaches to Coastal Water Quality Monitoring Using GOCI Satellite Data.” GIScience & Remote Sensing 51 (2): 158–174. https://doi.org/10.1080/15481603.2014.900983.
  • Kim, W., J.-E. Moon, Y.-J. Park, and J. Ishizaka. 2016. “Evaluation of Chlorophyll Retrievals from Geostationary Ocean Color Imager (GOCI) for the North-East Asian Region.” Remote Sensing of Environment 184:482–495. https://doi.org/10.1016/j.rse.2016.07.031.
  • Kirk, J. T. 2010. Light and Photosynthesis in Aquatic Ecosystems. Third Edit. Cambridge, UK: Cambridge University Press.
  • Koffler, R. 1975. ‘Use of NOAA Environmental Satellites to Remotely Sense Ocean Phenomena’. In OCEAN 75 Conference, 835–839. https://doi.org/10.1109/OCEANS.1975.1154116.
  • Kutser, T., E. Vahtmäe, and J. Praks. 2009. “A Sun Glint Correction Method for Hyperspectral Imagery Containing Areas with Non-Negligible Water Leaving NIR Signal.” Remote Sensing of Environment 113 (10): 2267–2274. https://doi.org/10.1016/j.rse.2009.06.016.
  • Lee, B., J. H. Ahn, Y.-J. Park, and S.-W. Kim. 2013. “Turbid Water Atmospheric Correction for GOCI: Modification of MUMM Algorithm.” Korean Journal of Remote Sensing 29 (2): 173–182. https://doi.org/10.7780/kjrs.2013.29.2.2.
  • Lee, Z., M. Jiang, C. Davis, N. Pahlevan, Y.-H. Ahn, and R. Ma. 2012. “Impact of Multiple Satellite Ocean Color Samplings in a Day on Assessing Phytoplankton Dynamics.” Ocean Science Journal 47 (3): 323–329. https://doi.org/10.1007/s12601-012-0031-5.
  • Lee, Y., C. Jung, and S. Kim. 2019. “Spatial Distribution of Soil Moisture Estimates Using a Multiple Linear Regression Model and Korean Geostationary Satellite (COMS) Data.” Agricultural Water Management 213:580–593. https://doi.org/10.1016/j.agwat.2018.09.004.
  • Lee, M.-S., K.-A. Park, and F. Micheli. 2021. “Derivation of Red Tide Index and Density Using Geostationary Ocean Color Imager (GOCI) Data.” Remote Sensing 13 (2): 298. https://doi.org/10.3390/rs13020298.
  • Lee, Z., S. Shang, C. Chuanmin, K. Du, A. Weidemann, W. Hou, J. Lin, and G. Lin. 2015. “Secchi Disk Depth: A New Theory and Mechanistic Model for Underwater Visibility.” Remote Sensing of Environment 169:139–149. https://doi.org/10.1016/j.rse.2015.08.002.
  • Legeckis, R. 1978. “A Survey of Worldwide Sea Surface Temperature Fronts Detected by Environmental Satellites.” Journal of Geophysical Research Oceans 83 (C9): 4501–4522. https://doi.org/10.1029/JC083iC09p04501.
  • Legeckis, R., C. W. Brown, and P. S. Chang. 2002. “Geostationary Satellites Reveal Motions of Ocean Surface Fronts.” Journal of Marine Systems 37 (1–3): 3–15. https://doi.org/10.1016/S0924-7963(02)00192-6.
  • Legeckis, R., W. Pichel, and G. Nesterczuk. 1983. “Equatorial Long Waves in Geostationary Satellite Observations and in a Multichannel Sea Surface Temperature Analysis.” Bulletin of the American Meteorological Society 64 (2): 133–139. https://doi.org/10.1175/1520-0477(1983)064<0133:ELWIGS>2.0.CO;2.
  • Legeckis, R., and T. Zhu. 1997. “Sea Surface Temperatures from the GOES-8 Geostationary Satellite.” Bulletin of the American Meteorological Society 78 (9): 1971–1984. https://doi.org/10.1175/1520-0477(1997)078<1971:SSTFTG>2.0.CO;2.
  • Letelier, R. M., and M. R. Abbott. 1996. “An Analysis of Chlorophyll Fluorescence Algorithms for the Moderate Resolution Imaging Spectrometer (MODIS).” Remote Sensing of Environment 58 (2): 215–223. https://doi.org/10.1016/S0034-4257(96)00073-9.
  • Li, H. 2014. Geostationary Satellites Collocation. Berlin: Springer.
  • Liang, S., J. Wang, and B. Jiang. 2012. A Systematic View of Remote Sensing. Advanced Remote Sensing. (pp. 1–31). Oxford: Academic Press.
  • Lima, T. M. A., C. Giardino, M. Bresciani, C. C. F. Barbosa, A. Fabbretto, A. Pellegrino, and F. Nincao Begliomini. 2023. “Assessment of Estimated Phycocyanin and Chlorophyll-A Concentration from PRISMA and OLCI in Brazilian Inland Waters: A Comparison Between Semi-Analytical and Machine Learning Algorithms.” Remote Sensing 15 (5): 1299. https://doi.org/10.3390/rs15051299.
  • Lin, H., Q. Yu, Y. Wang, and S. Gao. 2022. “Identification, Extraction and Interpretation of Multi-Period Variations of Coastal Suspended Sediment Concentration Based on Unevenly Spaced Observations.” Marine Geology 445:106732. https://doi.org/10.1016/j.margeo.2022.106732.
  • Liu, D., Y. Bai, X. He, B. Tao, D. Pan, C.-T. A. Chen, L. Zhang, Y. Xu, and C. Gong. 2019. “Satellite Estimation of Particulate Organic Carbon Flux from Changjiang River to the Estuary.” Remote Sensing of Environment 223:307–319. https://doi.org/10.1016/j.rse.2019.01.025.
  • Liu, G., Li, Y., Lyu, H., Wang, S., Du, C, and Huang, C. 2015 .“An Improved Land Target-Based Atmospheric Correction Method for Lake Taihu.“ IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing, 9(2), 793–803. 10.1109/JSTARS.2015.2503800
  • 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 & Remote Sensing 11 (7): 2170–2180. https://doi.org/10.1109/JSTARS.2018.2830335.
  • Li, F., X. Zhang, D. P. Roy, and S. Kondragunta. 2019. “Estimation of Biomass-Burning Emissions by Fusing the Fire Radiative Power Retrievals from Polar-Orbiting and Geostationary Satellites Across the Conterminous United States.” Atmospheric Environment 211:274–287. https://doi.org/10.1016/j.atmosenv.2019.05.017.
  • Lomax, A. S., D. W. Colburn, and M. K. Galbraith. 2006. “The Value of Geostationary Satellite Imagery in IOOS, Now and Future.” Oceans 1–5. https://doi.org/10.1109/OCEANS.2006.306822.
  • Lyu, H., J. Zhang, G. Zha, Q. Wang, and Y. Li. 2015. “Developing a Two-Step Retrieval Method for Estimating Total Suspended Solid Concentration in Chinese Turbid Inland Lakes Using Geostationary Ocean Colour Imager (GOCI) Imagery.” International Journal of Remote Sensing 36 (5): 1385–1405. https://doi.org/10.1080/01431161.2015.1009654.
  • Ma, D., J. Liu, J. Y. Huang, H. Li, P. Liu, H. Chen, and J. Qian. 2016. “Spectral Similarity Assessment Based on a Spectrum Reflectance-Absorption Index and Simplified Curve Patterns for Hyperspectral Remote Sensing.” Sensors 16 (2): 152. https://doi.org/10.3390/s16020152.
  • Martins, V. S., C. Clemente Faria Barbosa, L. Augusto Sander De Carvalho, D. Schaffer Ferreira Jorge, and F. De Lucia Lobo. 2017. “Assessment of Atmospheric Correction Methods for Sentinel-2 MSI Images Applied to Amazon Floodplain Lakes.” Remote Sensing 9 (4): 322. https://doi.org/10.3390/rs9040322.
  • Martins, V. S., A. Kaleita, C. C. F. Barbosa, A. C. Fassoni-Andrade, F. de Lucia Lobo, and E. M. L. M. Novo. 2019. “Remote Sensing of Large Reservoir in the Drought Years: Implications on Surface Water Change and Turbidity Variability of Sobradinho Reservoir (Northeast Brazil).” Remote Sensing Applications: Society & Environment 13:275–288. https://doi.org/10.1016/j.rsase.2018.11.006.
  • Ma, J., D.-W. Sun, and H. Pu. 2016. “Spectral Absorption Index in Hyperspectral Image Analysis for Predicting Moisture Contents in Pork Longissimus Dorsi Muscles.” Food Chemistry 197:848–854. https://doi.org/10.1016/j.foodchem.2015.11.023.
  • Maturi, E., A. Harris, C. Merchant, J. Mittaz, B. Potash, W. Meng, and J. Sapper. 2008. “Noaa’s Sea Surface Temperature Products from Operational Geostationary Satellites.” Bulletin of the American Meteorological Society 89 (12): 1877–1888. https://doi.org/10.1175/2008BAMS2528.1.
  • Maul, G. A., P. Webb DeWitt, A. Yanaway, and S. R. Baig. 1978. “Geostationary Satellite Observations of Gulf Stream Meanders: Infrared Measurements and Time Series Analysis.” Journal of Geophysical Research Oceans 83 (C12): 6123–6135. https://doi.org/10.1029/JC083iC12p06123.
  • McClain, E. P. 1980. “Passive Radiometry of the Ocean from Space—An Overview.” Boundary-Layer Meteorology 18 (1): 7–24. https://doi.org/10.1007/BF00117908.
  • McCorkel, J., B. Efremova, J. Hair, M. Andrade, and B. Holben. 2020. “GOES-16 ABI Solar Reflective Channel Validation for Earth Science Application.” Remote Sensing of Environment 237:111438. https://doi.org/10.1016/j.rse.2019.111438.
  • Merchant, C. J., P. Le Borgne, H. Roquet, and A. Marsouin. 2009. “Sea Surface Temperature from a Geostationary Satellite by Optimal Estimation.” Remote Sensing of Environment 113 (2): 445–457. https://doi.org/10.1016/j.rse.2008.10.012.
  • Miller, S. D., C. C. Schmidt, T. J. Schmit, and D. W. Hillger. 2012. “A Case for Natural Colour Imagery from Geostationary Satellites, and an Approximation for the GOES-R ABI.” International Journal of Remote Sensing 33 (13): 3999–4028. https://doi.org/10.1080/01431161.2011.637529.
  • Minghelli, A., C. Chevalier, J. Descloitres, L. Berline, P. Blanc, and M. Chami. 2021. “Synergy Between Low Earth Orbit (LEO)—MODIS and Geostationary Earth Orbit (GEO)—GOES Sensors for Sargassum Monitoring in the Atlantic Ocean.” Remote Sensing 13 (8): 1444. https://doi.org/10.3390/rs13081444.
  • Mobley, C. D. 1999. “Estimation of the Remote-Sensing Reflectance from Above-Surface Measurements.” Applied Optics 38 (36): 7442–7455. https://doi.org/10.1364/AO.38.007442.
  • Moon, J.-E., Y.-H. Ahn, J.-H. Ryu, and P. Shanmugam. 2010. “Development of Ocean Environmental Algorithms for Geostationary Ocean Color Imager (GOCI).” Korean Journal of Remote Sensing 26 (2): 189–207.
  • Moses, W. J., S. Sterckx, M. J. Montes, L. De Keukelaere, and E. Knaeps. 2017. “Chapter 3 - Atmospheric Correction for Inland Waters.” In Bio-Optical Modeling and Remote Sensing of Inland Waters, edited by D. R. Mishra, I. Ogashawara, and A. A. Gitelson, 69–100. Elsevier. https://doi.org/10.1016/B978-0-12-804644-9.00003-3.
  • Mota, B., and M. J. Wooster. 2018. “A New Top-Down Approach for Directly Estimating Biomass Burning Emissions and Fuel Consumption Rates and Totals from Geostationary Satellite Fire Radiative Power (FRP).” Remote Sensing of Environment 206:45–62. https://doi.org/10.1016/j.rse.2017.12.016.
  • Muchsin, F., Dirghayu, D., Prasasti, I., Rahayu, M.-I., Fibriawati, L., Pradono, K.-A, and Mahatmanto, B. 2019.“ Comparison of atmospheric correction models: FLAASH and 6S code and their impact on vegetation indices (case study: paddy field in Subang District, West Java).” IOP Conference Series: Earth and Environmental Science, 280 (1): 012034. https://doi.org/10.1088/1755-1315/280/1/012034.
  • Murakami, H. 2016. “Ocean Color Estimation by Himawari-8/AHI.” In Remote Sensing of the Oceans and Inland Waters: Techniques, Applications, and Challenges, edited by R. J. Frouin, S. C. Shenoi, and K. H. Rao, Vol. 9878, 987810. SPIE. https://doi.org/10.1117/12.2225422.
  • NASA. 2010. ‘Ocean Color Chlorophyll (OC) V6’. https://oceancolor.gsfc.nasa.gov/reprocessing/r2009/ocv6/.
  • Neukermans, G., K. Ruddick, E. Bernard, D. Ramon, B. Nechad, and P.-Y. Deschamps. 2009a. “Mapping Total Suspended Matter from Geostationary Satellites: A Feasibility Study with SEVIRI in the Southern North Sea.” Optics Express 17 (16): 14029–14052. https://doi.org/10.1364/OE.17.014029.
  • Neukermans, G., K. Ruddick, E. Bernard, D. Ramon, B. Nechad, and P.-Y. Deschamps. 2009b. “Mapping Total Suspended Matter from Geostationary Satellites: A Feasibility Study with SEVIRI in the Southern North Sea.” Optics Express 17 (16): 14029–14052. https://doi.org/10.1364/OE.17.014029.
  • Neukermans, G., K. G. Ruddick, and N. Greenwood. 2012. “Diurnal Variability of Turbidity and Light Attenuation in the Southern North Sea from the SEVIRI Geostationary Sensor.” Remote Sensing of Environment 124:564–580. https://doi.org/10.1016/j.rse.2012.06.003.
  • Noh, J. H., W. Kim, S. Hyun Son, J.-H. Ahn, and Y.-J. Park. 2018. “Remote Quantification of Cochlodinium Polykrikoides Blooms Occurring in the East Sea Using Geostationary Ocean Color Imager (GOCI).” Harmful Algae 73:129–137. https://doi.org/10.1016/j.hal.2018.02.006.
  • Novoa, S., D. Doxaran, A. Ody, Q. Vanhellemont, V. Lafon, B. Lubac, and P. Gernez. 2017. “Atmospheric Corrections and Multi-Conditional Algorithm for Multi-Sensor Remote Sensing of Suspended Particulate Matter in Low-To-High Turbidity Levels Coastal Waters.” Remote Sensing 9 (1): MDPI: 61.
  • Ogashawara, I., D. R. Mishra, and A. G. Anatoly. 2017. “Chapter 1 - Remote Sensing of Inland Waters: Background and Current State-Of-The-Art”. In Bio-Optical Modeling and Remote Sensing of Inland Waters, In edited by D. R. Mishra, I. Ogashawara, and A. A. Gitelson, 1–24. Elsevier. 10.1016/B978-0-12-804644-9.00001-X.
  • Overstreet, B. T., and C. J. Legleiter. 2017. “Removing Sun Glint from Optical Remote Sensing Images of Shallow Rivers.” Earth Surface Processes and Landforms 42 (2): 318–333. https://doi.org/10.1002/esp.4063.
  • Paek, S. W., S. Kim, L. Kronig, and O. De Weck. 2020. “Sun-Synchronous Repeat Ground Tracks and Other Useful Orbits for Future Space Missions.” Aeronautical Journal 124 (1276): 917–939. https://doi.org/10.1017/aer.2020.21.
  • Pahlevan, N., B. Smith, J. Schalles, C. Binding, Z. Cao, R. Ma, K. Alikas, et al. 2020. “Seamless Retrievals of Chlorophyll-A from Sentinel-2 (MSI) and Sentinel-3 (OLCI) in Inland and Coastal Waters: A Machine-Learning Approach.” Remote Sensing of Environment 240:111604. https://doi.org/10.1016/j.rse.2019.111604.
  • Pan, Y., S. Bélanger, and Y. Huot. 2022. “Evaluation of Atmospheric Correction Algorithms Over Lakes for High-Resolution Multispectral Imagery: Implications of Adjacency Effect.” Remote Sensing 14 (13): 2979. https://doi.org/10.3390/rs14132979.
  • Pan, Y., F. Shen, and W. Verhoef. 2017. “An Improved Spectral Optimization Algorithm for Atmospheric Correction Over Turbid Coastal Waters: A Case Study from the Changjiang (Yangtze) Estuary and the Adjacent Coast.” Remote Sensing of Environment 191:197–214. https://doi.org/10.1016/j.rse.2017.01.013.
  • Pan, Y., F. Shen, and X. Wei. 2018. “Fusion of Landsat-8/OLI and GOCI Data for Hourly Mapping of Suspended Particulate Matter at High Spatial Resolution: A Case Study in the Yangtze (Changjiang) Estuary.” Remote Sensing 10 (2): 158. https://doi.org/10.3390/rs10020158.
  • Park, K.-A., H.-J. Woo, and E.-Y. Lee. 2020. “The Application of a Hybrid Sea Surface Temperature Algorithm to COMS Geostationary Satellite Data in the Northwest Pacific Ocean.” International Journal of Remote Sensing 41 (15): 5953–5973. https://doi.org/10.1080/01431161.2019.1688889.
  • Paulino, R. S., V. S. Martins, E. M. L. M. Novo, C. C. F. Barbosa, L. A. S. de Carvalho, and F. N. Begliomini. 2022. “Assessment of Adjacency Correction Over Inland Waters Using Sentinel-2 MSI Images.” Remote Sensing 14 (8): 1829. https://doi.org/10.3390/rs14081829.
  • Pereira, G., K. M. Longo, S. R. Freitas, G. Mataveli, V. J. Oliveira, P. R. Santos, L. F. Rodrigues, and F. S. Cardozo. 2022. “Improving the South America Wildfires Smoke Estimates: Integration of Polar-Orbiting and Geostationary Satellite Fire Products in the Brazilian Biomass Burning Emission Model (3BEM).” Atmospheric Environment 273:118954. https://doi.org/10.1016/j.atmosenv.2022.118954.
  • Perkins T. 2012. “Speed and accuracy improvements in FLAASH atmospheric correction of hyperspectral imagery.” Optical Engineering, 51 (11): 111707. https://doi.org/10.1117/1.OE.51.11.111707.
  • Pozdnyakov, D., H. Grassl, and H. Graßl. 2003. Color of Inland and Coastal Waters: A Methodology for Its Interpretation. Berlin: Springer Science & Business Media.
  • Preisendorfer, R. W. 1976. Hydrologic Optics. Honolulu: US Department of Commerce, National Oceanic and Atmospheric Administration.
  • Qi, L., C. Hu, P. M. Visser, and R. Ma. 2018. “Diurnal Changes of Cyanobacteria Blooms in Taihu Lake as Derived from GOCI Observations.” Limnology & Oceanography 63 (4): 1711–1726. https://doi.org/10.1002/lno.10802.
  • Qi, L., C. Hu, M. Wang, S. Shang, and C. Wilson. 2017. “Floating Algae Blooms in the East China Sea.” Geophysical Research Letters 44 (22): ,11,501–11,509.https://doi.org/10.1002/2017GL075525.
  • Rajan, D., A. K. Bohra, A. K. Mitra, V. S. Prasad, R. K. Paliwal, and V. B. Bhatia. 2002. “Moisture Profiles from Satellite Data Over the Indian Ocean Area.” International Journal of Remote Sensing 23 (15): 2951–2969. https://doi.org/10.1080/01431160110075316.
  • Ritchie, J. C., C. M. Cooper, and F. R. Schiebe. 1990. “The Relationship of MSS and TM Digital Data with Suspended Sediments, Chlorophyll, and Temperature in Moon Lake, Mississippi.” Remote Sensing of Environment 33 (2): 137–148. https://doi.org/10.1016/0034-4257(90)90039-O.
  • Ruddick, K., G. Neukermans, Q. Vanhellemont, and D. Jolivet. 2014. “Challenges and Opportunities for Geostationary Ocean Colour Remote Sensing of Regional Seas: A Review of Recent Results.” Remote Sensing of Environment 146:63–76. https://doi.org/10.1016/j.rse.2013.07.039.
  • Ruddick, K. G., F. Ovidio, and M. Rijkeboer. 2000. “Atmospheric Correction of SeaWiFS Imagery for Turbid Coastal and Inland Waters.” Applied Optics 39 (6): 897–912. https://doi.org/10.1364/AO.39.000897.
  • Ruddick, K., Q. Vanhellemont, J. Yan, G. Neukermans, G. Wei, and S. Shang. 2012. “Variability of Suspended Particulate Matter in the Bohai Sea from the Geostationary Ocean Color Imager (GOCI).” Ocean Science Journal 47 (3): 331–345. https://doi.org/10.1007/s12601-012-0032-4.
  • Ryu, J. H., J. K. Choi, J. Eom, and J. H. Ahn. 2011. “Temporal Variation in Korean Coastal Waters Using Geostationary Ocean Color Imager.” Journal of Coastal Research 64 1731–1735.
  • Sagan, V., K. T. Peterson, M. Maimaitijiang, P. Sidike, J. Sloan, B. A. Greeling, S. Maalouf, and C. Adams. 2020. “Monitoring Inland Water Quality Using Remote Sensing: Potential and Limitations of Spectral Indices, Bio-Optical Simulations, Machine Learning, and Cloud Computing.” Earth Science Review 205:103187. https://doi.org/10.1016/j.earscirev.2020.103187.
  • Santer, R., and C. Schmechtig. 2000. “Adjacency Effects on Water Surfaces: Primary Scattering Approximation and Sensitivity Study.” Applied Optics 39 (3): 361–375. https://doi.org/10.1364/AO.39.000361.
  • Schmit, T. J., P. Griffith, M. M. Gunshor, J. M. Daniels, S. J. Goodman, and W. J. Lebair. 2017. “A Closer Look at the ABI on the GOES-R Series.” Bulletin of the American Meteorological Society 98 (4): 681–698. https://doi.org/10.1175/BAMS-D-15-00230.1.
  • Schmit, T. J., S. S. Lindstrom, J. J. Gerth, and M. M. Gunshor. 2018. “Applications of the 16 Spectral Bands on the Advanced Baseline Imager (ABI).” Journal of Operational Meteorology 6 (04): 33–46. https://doi.org/10.15191/nwajom.2018.0604.
  • Shang, D., and H. Xu. 2018. “Qualitative Dynamics of Suspended Particulate Matter in the Changjiang Estuary from Geostationary Ocean Color Images: An Empirical, Regional Modeling Approach.” Sensors 18 (12): MDPI: 4186. https://doi.org/10.3390/s18124186.
  • Shen, F., W. Verhoef, Y. Zhou, M. Suhyb Salama, and X. Liu. 2010. “Satellite Estimates of Wide-Range Suspended Sediment Concentrations in Changjiang (Yangtze) Estuary Using MERIS Data.” Estuaries & Coasts 33 (6): 1420–1429. https://doi.org/10.1007/s12237-010-9313-2.
  • Shen, F., Y. Zhou, X. Peng, and Y. Chen. 2014. “Satellite Multi-Sensor Mapping of Suspended Particulate Matter in Turbid Estuarine and Coastal Ocean, China.” International Journal of Remote Sensing 35 (11–12): 4173–4192. https://doi.org/10.1080/01431161.2014.916053.
  • Shu, L., L. Zhu, J. Bak, P. Zoogman, H. Han, X. Long, B. Bai, S. Liu, D. Wang, and W. Sun. 2022. “Improved Ozone Simulation in East Asia via Assimilating Observations from the First Geostationary Air-Quality Monitoring Satellite: Insights from an Observing System Simulation Experiment.” Atmospheric Environment 274:119003. https://doi.org/10.1016/j.atmosenv.2022.119003.
  • Siswanto, E., J. Tang, H. Yamaguchi, Y.-H. Ahn, J. Ishizaka, S. Yoo, S.-W. Kim, Y. Kiyomoto, K. Yamada, and C. Chiang. 2011. “Empirical Ocean-Color Algorithms to Retrieve Chlorophyll-A, Total Suspended Matter, and Colored Dissolved Organic Matter Absorption Coefficient in the Yellow and East China Seas.” Journal of Oceanography 67 (5): 627–650. https://doi.org/10.1007/s10872-011-0062-z.
  • Son, Y. B., B.-J. Choi, Y. Hoon Kim, and Y.-G. Park. 2015. “Tracing Floating Green Algae Blooms in the Yellow Sea and the East China Sea Using GOCI Satellite Data and Lagrangian Transport Simulations.” Remote Sensing of Environment 156:21–33. https://doi.org/10.1016/j.rse.2014.09.024.
  • Song, Z., X. He, Y. Bai, X. Dong, D. Wang, T. Li, Q. Zhu, and F. Gong. 2023. “Atmospheric Correction of Absorbing Aerosols for Satellite Ocean Color Remote Sensing Over Coastal Waters.” Remote Sensing of Environment 290:113552. https://doi.org/10.1016/j.rse.2023.113552.
  • Son, Y. B., J.-E. Min, and J.-H. Ryu. 2012. “Detecting Massive Green Algae (Ulva Prolifera) Blooms in the Yellow Sea and East China Sea Using Geostationary Ocean Color Imager (GOCI) Data.” Ocean Science Journal 47 (3): 359–375. https://doi.org/10.1007/s12601-012-0034-2.
  • Soop, E. M. 1994. Handbook of Geostationary Orbits. New York, USA: Springer Science & Business Media.
  • Sowden, M., U. Mueller, and D. Blake. 2018. “Review of Surface Particulate Monitoring of Dust Events Using Geostationary Satellite Remote Sensing.” Atmospheric Environment 183:154–164. https://doi.org/10.1016/j.atmosenv.2018.04.020.
  • SPSS. 2001. The SPSS TwoStep Cluster Component: A Scalable Component Enabling More Efficient Customer Segmentation. Technical Report. SPSS Chicago, IL.
  • SPSS. 2004. ‘Two Step Cluster Analysis’. Technical Report. SPSS Chicago, IL.
  • Tarpley, J. D. 1979. “Estimating Incident Solar Radiation at the Surface from Geostationary Satellite Data.” Journal of Applied Meteorology and Climatology 18 (9): 1172–1181. https://doi.org/10.1175/1520-0450(1979)018<1172:EISRAT>2.0.CO;2.
  • Tassan, S. 1994. “‘Local Algorithms Using SeaWiFS Data for the Retrieval of Phytoplankton, Pigments, Suspended Sediment, and Yellow Substance in Coastal Waters.” Applied Optics 33 (12): 2369–2378. https://doi.org/10.1364/AO.33.002369.
  • Torres, R. B., and A. C. Blanco. 2021. “Preliminary Investigation on Chlorophyll-A and Total Suspended Matter Concentration in Manila Bay Using HIMAWARI-8 Ahi and SENTINEL-3 Olci C2RCC.” International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 46:303–311. https://doi.org/10.5194/isprs-archives-XLVI-4-W6-2021-303-2021.
  • Union of Concerned Scientists. 2022. ‘UCS Satellite Database’. https://www.ucsusa.org/resources/satellite-database.
  • Uudeberg, K., A. Aavaste, K.-L. Kõks, A. Ansper, M. Uusõue, K. Kangro, I. Ansko, M. Ligi, K. Toming, and A. Reinart. 2020. “Optical Water Type Guided Approach to Estimate Optical Water Quality Parameters.” Remote Sensing 12 (6): 931. https://doi.org/10.3390/rs12060931.
  • Vermote, E. F., D. Tanré, J. L. Deuze, M. Herman, and J.-J. Morcette. 1997. “Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: An Overview.” IEEE Transactions on Geoscience & Remote Sensing 35 (3): 675–686. https://doi.org/10.1109/36.581987.
  • Wang, Z., Y. Bai, X. He, B. Tao, T. Li, X. Chen, T. Wang, and F. Gong. 2021. “Estimating Particulate Organic Carbon Flux in a Highly Dynamic Estuary Using Satellite Data and Numerical Modeling.” Remote Sensing of Environment 252:112116. https://doi.org/10.1016/j.rse.2020.112116.
  • Wang, S., Y. Mao, L. Zheng, Z. Qiu, M. Bilal, and D. Sun. 2020. “Remote Sensing of Water Turbidity in the Eastern China Seas from Geostationary Ocean Colour Imager.” International Journal of Remote Sensing 41 (11): 4080–4101. https://doi.org/10.1080/01431161.2020.1714775.
  • 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, S., X. Zhang, N. Chen, and W. Wang. 2022. “Classifying Diurnal Changes of Cyanobacterial Blooms in Lake Taihu to Identify Hot Patterns, Seasons and Hotspots Based on Hourly GOCI Observations.” Journal of Environmental Management 310:114782. https://doi.org/10.1016/j.jenvman.2022.114782.
  • Watanabe, T., H. Takenaka, and D. Nohara. 2021. “Post-Processing Correction Method for Surface Solar Irradiance Forecast Data from the Numerical Weather Model Using Geostationary Satellite Observation Data.” Solar Energy 223:202–216. https://doi.org/10.1016/j.solener.2021.05.055.
  • World Meteorological Organization. 2022. ‘Observing Systems Capability Analysis and Review Tool (OSCAR)’. https://space.oscar.wmo.int/.
  • Wu, Y., A. Knudby, and D. Lapen. 2023. “Topography-Adjusted Monte Carlo Simulation of the Adjacency Effect in Remote Sensing of Coastal and Inland Waters.” Journal of Quantitative Spectroscopy & Radiative Transfer 303:108589. https://doi.org/10.1016/j.jqsrt.2023.108589.
  • Yang, J., Z. Zhang, C. Wei, F. Lu, and Q. Guo. 2017. “Introducing the New Generation of Chinese Geostationary Weather Satellites, Fengyun-4.” Bulletin of the American Meteorological Society 98 (8): 1637–1658. 10.1175/BAMS-D-16-0065.1.
  • Yan, Q.-Y., P. Leng, Z.-L. Li, Q.-Y. Liao, F.-C. Zhou, X.-J. Han, J. Ma, Y.-Y. Sun, X. Zhang, and G.-F. Shang. 2022. “A Method for Estimating Spatially Continuous Soil Moisture from the Synergistic Use of Geostationary and Polar-Orbit Satellite Data.” Journal of Hydrology 608:127590.
  • Yeom, J.-M., R. C. Deo, J. F. Adamowski, S. Park, and C.-S. Lee. 2020. “Spatial Mapping of Short-Term Solar Radiation Prediction Incorporating Geostationary Satellite Images Coupled with Deep Convolutional LSTM Networks for South Korea.” Environmental Research Letters 15 (9): 094025. https://doi.org/10.1088/1748-9326/ab9467.
  • Yeom, J.-M., J.-L. Roujean, K.-S. Han, K.-S. Lee, and H.-W. Kim. 2020. “Thin Cloud Detection Over Land Using Background Surface Reflectance Based on the BRDF Model Applied to Geostationary Ocean Color Imager (GOCI) Satellite Data Sets.” Remote Sensing of Environment 239:111610. https://doi.org/10.1016/j.rse.2019.111610.
  • Ye, W., F. Zhang, and Z. Du. 2022. “Machine Learning in Extreme Value Analysis, an Approach to Detecting Harmful Algal Blooms with Long-Term Multisource Satellite Data.” Remote Sensing 14 (16): 3918. https://doi.org/10.3390/rs14163918.
  • Yong, S.-S., G.-S. Kang, S. Huh, and S.-Y. Cha. 2021. “Current Status and Results of In-Orbit Function, Radiometric Calibration and INR of GOCI-II (Geostationary Ocean Color Imager 2) on Geo-KOMPSAT-2B.” Korean Journal of Remote Sensing 37 (5_2): 1235–1243.
  • Yoo, J.-M., G.-H. Choo, K.-H. Lee, D. L. Wu, J.-H. Yang, J.-D. Park, Y.-S. Choi, D.-B. Shin, J.-H. Jeong, and J.-M. Yoo. 2018. “Improved Detection of Low Stratus and Fog at Dawn from Dual Geostationary (COMS and FY-2D) Satellites.” Remote Sensing of Environment 211:292–306. https://doi.org/10.1016/j.rse.2018.04.019.
  • Yoon, J.-E., J.-H. Lim, S. Son, S.-H. Youn, H.-J. Oh, J.-D. Hwang, J.-I. Kwon, S.-S. Kim, and I.-N. Kim. 2019. “Assessment of Satellite-Based Chlorophyll-A Algorithms in Eutrophic Korean Coastal Waters: Jinhae Bay Case Study.” Frontiers in Marine Science 6:6. https://doi.org/10.3389/fmars.2019.00359.
  • Yu, X. L. 2013. ‘Study on Retrieval of Sediment Concentration in Bo and Yellow Sea and Imputation of Missing Value Based on GOCI’. Master’s Thesis, Qingdao, China: Ocean University of China.
  • Yulong, G., H. Changchun, L. Yunmei, D. Chenggong, S. Lingfei, L. Yuan, C. Weiqiang, W. Hejie, C. Enxiang, and J. Guangxing. 2022. “Hyperspectral Reconstruction Method for Optically Complex Inland Waters Based on Bio-Optical Model and Sparse Representing.” Remote Sensing of Environment 276:113045. https://doi.org/10.1016/j.rse.2022.113045.
  • Zaneveld, J., and V. Ronald. 2013. “Fifty Years of Inherent Optical Properties.” Methods in Oceanography 7:3–20. https://doi.org/10.1016/j.mio.2014.03.002.
  • Zhang, Z., and Q. Du. 2022. “Hourly Mapping of Surface Air Temperature by Blending Geostationary Datasets from the Two-Satellite System of GOES-R Series.” Isprs Journal of Photogrammetry & Remote Sensing 183:111–128. https://doi.org/10.1016/j.isprsjprs.2021.10.022.
  • Zhang, X., Z. Jiao, C. Zhao, J. Guo, Z. Zhu, Z. Liu, Y. Dong, et al. 2022. “Evaluation of BRDF Information Retrieved from Time-Series Multiangle Data of the Himawari-8 AHI.” Remote Sensing 14 (1): 139. https://doi.org/10.3390/rs14010139.
  • Zhang, H., and M. Wang. 2010. “Evaluation of Sun Glint Models Using MODIS Measurements.” Journal of Quantitative Spectroscopy & Radiative Transfer 111 (3): 492–506. https://doi.org/10.1016/j.jqsrt.2009.10.001.
  • Zhang, F., N. Weng Chan, C. Liu, X. Wang, J. Shi, H.-T. Kung, X. Li, T. Guo, W. Wang, and N. Cao. 2021. “Water Quality Index (WQI) as a Potential Proxy for Remote Sensing Evaluation of Water Quality in Arid Areas.” Water 13 (22): 3250. https://doi.org/10.3390/w13223250.
  • Zhou, Y., D. Yu, W. Cheng, Y. Gai, H. Yao, L. Yang, and S. Pan. 2022. “Monitoring Multi-Temporal and Spatial Variations of Water Transparency in the Jiaozhou Bay Using GOCI Data.” Marine Pollution Bulletin 180:113815. https://doi.org/10.1016/j.marpolbul.2022.113815.

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