{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T16:16:46Z","timestamp":1782749806701,"version":"3.54.5"},"reference-count":79,"publisher":"MDPI AG","issue":"14","license":[{"start":{"date-parts":[[2019,7,10]],"date-time":"2019-07-10T00:00:00Z","timestamp":1562716800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2016YFC1400906"],"award-info":[{"award-number":["2016YFC1400906"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Atmospheric correction (AC) for coastal waters is an important issue in ocean color remote sensing. AC performance is fundamental in retrieving reliable water-leaving radiances and then bio-optical parameters. Unlike polar-orbiting satellites, geostationary ocean color sensors allow high-frequency (15\u201360 min) monitoring of ocean color over the same area. The first geostationary ocean color sensor, i.e., the Geostationary Ocean Color Imager (GOCI), was launched in 2010. Using GOCI data acquired over the Yellow Sea in summer 2017 at three principal overpass times (02:16, 03:16, 04:16 UTC) with \u00b11 and \u00b13 h match-up times, this study compared four GOCI AC algorithms: (1) the standard near infrared (NIR) algorithm of NASA (NASA-STD), (2) the Korea Ocean Satellite Center (KOSC) standard algorithm for GOCI (KOSC-STD), (3) the diffuse attenuation coefficient at 490 nm Kd (490)-based NIR correction algorithm (Kd-based), and (4) the Management Unit of the North Sea Mathematical Models (MUMM). The GOCI-estimated remote sensing reflectance (Rrs), aerosol parameters [aerosol optical thickness (AOT), Angstr\u00f6m Exponent (AE)], and chlorophyll-a (Chla) were validated using in situ data. For Rrs, AOT, AE, and Chla, GOCI-retrieved results performed well within the \u00b11 h temporal window, but the number of match-ups was extended within the \u00b13 h match-up window. For \u00b13 h GOCI-derived Rrs, all algorithms had an absolute percentage difference (APD) at 490 and 555 nm of &lt;40%, while other bands showed larger differences (APD &gt; 60%). Compared with in situ values, the APD of the Rrs(490)\/Rrs(555) band ratio was &lt;20% for all ACs. For AOT and AE, the APD was &gt;40% and &gt;200%, respectively. Of the four algorithms, the KOSC-STD algorithm demonstrated satisfactory performance in deriving Rrs for the region of interest (Rrs APD: 22.23%\u201373.95%) in the visible bands. The Kd-based algorithm worked well obtaining Ocean Color 3 GOCI Chla because Rrs(443) is more accurate than the KOSC-STD. The poorest Rrs retrievals were achieved using the NASA-STD and the MUMM algorithms. Statistical analysis indicated that all methods had optimal performance at 04:16 UTC.<\/jats:p>","DOI":"10.3390\/rs11141631","type":"journal-article","created":{"date-parts":[[2019,7,10]],"date-time":"2019-07-10T11:56:51Z","timestamp":1562759811000},"page":"1631","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["Evaluation of Four Atmospheric Correction Algorithms for GOCI Images over the Yellow Sea"],"prefix":"10.3390","volume":"11","author":[{"given":"Xiaocan","family":"Huang","sequence":"first","affiliation":[{"name":"National Ocean Technology Center, State Oceanic Administration, Tianjin 300112, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6659-8442","authenticated-orcid":false,"given":"Jianhua","family":"Zhu","sequence":"additional","affiliation":[{"name":"National Ocean Technology Center, State Oceanic Administration, Tianjin 300112, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5189-7116","authenticated-orcid":false,"given":"Bing","family":"Han","sequence":"additional","affiliation":[{"name":"National Ocean Technology Center, State Oceanic Administration, Tianjin 300112, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6988-6506","authenticated-orcid":false,"given":"C\u00e9dric","family":"Jamet","sequence":"additional","affiliation":[{"name":"Univ. Littoral Cote d\u2019Opale, CNRS, Univ. Lille, UMR 8187, F 62930 Wimereux, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6286-3181","authenticated-orcid":false,"given":"Zhen","family":"Tian","sequence":"additional","affiliation":[{"name":"National Ocean Technology Center, State Oceanic Administration, Tianjin 300112, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yili","family":"Zhao","sequence":"additional","affiliation":[{"name":"National Ocean Technology Center, State Oceanic Administration, Tianjin 300112, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Li","sequence":"additional","affiliation":[{"name":"National Ocean Technology Center, State Oceanic Administration, Tianjin 300112, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tongji","family":"Li","sequence":"additional","affiliation":[{"name":"National Ocean Technology Center, State Oceanic Administration, Tianjin 300112, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2019,7,10]]},"reference":[{"key":"ref_1","unstructured":"Sathyendranath, S. (2000). Remote Sensing of Ocean Colour in Coastal, and Other Optically-Complex, Waters, IOCCG. Reports of the International Ocean-Colour Coordinating Group, No. 3."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"709","DOI":"10.4319\/lo.1977.22.4.0709","article-title":"Analysis of variations in ocean color","volume":"22","author":"Morel","year":"1977","journal-title":"Limnol. Oceanogr."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"482","DOI":"10.1016\/j.rse.2016.07.031","article-title":"Evalution of chlorophyll retrievals from Geostationary Ocean color Imager (GOCI) for the North-East Asian region","volume":"184","author":"Kim","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_4","unstructured":"Wang, M.H. (2010). Atmospheric Correction for Remotely-Sensed Ocean-Colour Products, IOCCG. Reports of the International Ocean-Colour Coordinating Group, No. 10."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"5068","DOI":"10.1364\/AO.46.005068","article-title":"Sensor-independent approach to the vicarious calibration of satellite ocean color radiometry","volume":"46","author":"Franz","year":"2007","journal-title":"Appl. Opt."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1364\/AO.33.000443","article-title":"Retrieval of water-leaving radiance and aerosol optical thickness over the oceans with SeaWiFS: A preliminary algorithm","volume":"33","author":"Gordon","year":"1994","journal-title":"Appl. Opt."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"3582","DOI":"10.1364\/AO.39.003582","article-title":"Atmospheric correction of satellite ocean color imagery: The black pixel assumption","volume":"39","author":"Siegel","year":"2000","journal-title":"Appl. Opt."},{"key":"ref_8","first-page":"D10S06","article-title":"Study of the Sea-Viewing Wide Field-of-View Sensor (SeaWiFS) aerosol optical property data over ocean in combination with the ocean color products","volume":"110","author":"Wang","year":"2005","journal-title":"J. Geophys. Res."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1955","DOI":"10.1016\/j.rse.2011.03.018","article-title":"Comparison of three SeaWiFS atmospheric correction algorithms for turbid waters using AERONET-OC measurements","volume":"115","author":"Jamet","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.rse.2012.12.006","article-title":"Evaluation of four atmospheric correction algorithms for MODIS-Aqua images over contrasted coastal waters","volume":"131","author":"Goyens","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1016\/S0034-4257(00)00080-8","article-title":"Atmospheric correction of SeaWiFS imagery over turbid coastal waters: A practical method","volume":"74","author":"Hu","year":"2000","journal-title":"Remote Sens. Environ."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"897","DOI":"10.1364\/AO.39.000897","article-title":"Atmospheric correction of SeaWiFS imagery for turbid coastal and inland waters","volume":"39","author":"Ruddick","year":"2000","journal-title":"Appl. Opt."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"741","DOI":"10.1364\/OE.20.000741","article-title":"Atmospheric correction using near-infrared bands for satellite ocean color data processing in the turbid western Pacific region","volume":"20","author":"Wang","year":"2012","journal-title":"Opt. Express"},{"key":"ref_14","unstructured":"Dogliotti, A.I., Ruddick, K., Nechad, B., and Lasta, C. (2011, January 6\u20139). Improving water reflectance retrieval from MODIS imagery in the highly turbid waters of La Plata River. Proceedings of the VI International Conference \u201cCurrent Problems in Optics of Natural Waters\u201d, St. Petersburg, Russia."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"15722","DOI":"10.1364\/OE.15.015722","article-title":"The NIR-SWIR combined atmospheric correction approach for MODIS ocean color data processing","volume":"15","author":"Wang","year":"2007","journal-title":"Opt. Express"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"635","DOI":"10.1016\/j.rse.2008.11.005","article-title":"Evaluation of MODIS SWIR and NIR-SWIR atmospheric correction algorithms using SeaBASS data","volume":"113","author":"Wang","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"3846","DOI":"10.1364\/AO.47.003846","article-title":"Improving atmospheric correction for highly productive coastal waters using the short wave infrared retrieval algorithm with water-leaving reflectance constraints at 412 nm","volume":"47","author":"Oo","year":"2008","journal-title":"Appl. Opt."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"20754","DOI":"10.1364\/OE.20.020754","article-title":"Atmospheric correction of satellite ocean color imagery using the ultraviolet wavelength for highly turbid waters","volume":"20","author":"He","year":"2012","journal-title":"Opt. Express"},{"key":"ref_19","first-page":"51","article-title":"A Partially Coupled Ocean-Atmosphere Model for Retrieval of Water-Leaving Radiance from SeaWiFS in Coastal Waters","volume":"206892","author":"Stumpf","year":"2003","journal-title":"SeaWiFS Postlaunch Tech. Rep. Ser."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"539","DOI":"10.1016\/j.csr.2004.10.007","article-title":"Modification to the atmospheric correction of SeaWiFS ocean colour images over turbid waters","volume":"25","author":"Lavender","year":"2005","journal-title":"Cont. Shelf Res."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"460","DOI":"10.1175\/JTECH1688.1","article-title":"Use of a Neurovariational Inversion for Retrieving Oceanic and Atmospheric Constituents from Ocean Color Imagery: A Feasibility Study","volume":"22","author":"Jamet","year":"2005","journal-title":"J. Atmos. Ocean. Tech."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1469","DOI":"10.1080\/01431160600962574","article-title":"Atmospheric correction algorithm for MERIS above case-2 waters","volume":"28","author":"Schroeder","year":"2007","journal-title":"J. Remote Sens."},{"key":"ref_23","first-page":"460","article-title":"Use of a neuro-variational inversion for retrieving oceanic and atmospheric constituents from satellite ocean color sensor: Application to absorbing aerosols","volume":"22","author":"Jamet","year":"2006","journal-title":"Neural Netw."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"610","DOI":"10.1016\/j.rse.2008.11.002","article-title":"Spectral optimization for constituent retrieval in Case II waters II: Validation study in the Chesapeake Bay","volume":"113","author":"Kuchinke","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_25","unstructured":"Steinmetz, F., Ramon, D., Deschamps, I., and Stum, J. (July, January 28). Improved Global Ocean Color Using Polymer Algorithm. Proceedings of the ESA Living Planet Symposium, Bergen, Norway."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"L06617","DOI":"10.1029\/2006GL025778","article-title":"Comparison of SeaWiFS, MODIS and MERIS radiometric products at a coastal site","volume":"33","author":"Zibordi","year":"2006","journal-title":"Geophys. Res. Lett."},{"key":"ref_27","unstructured":"Ahn, J.Y., Ryu, J.Y., Park, Y.J., Ahn, Y.J., and Oh, I.S. (2012). Atmospheric Correction Algorithm for the GOCI, IGARSS."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"7521","DOI":"10.1364\/OE.18.007521","article-title":"Estimation of near-infraredwater-leaving reflectance for satellite ocean color data processing","volume":"18","author":"Bailey","year":"2010","journal-title":"Opt. Express"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1007\/s12601-012-0026-2","article-title":"Development of atmospheric correction algorithm for Geostationary Ocean Color Imager (GOCI)","volume":"47","author":"Ahn","year":"2012","journal-title":"Ocean Sci. J."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.pocean.2012.05.001","article-title":"Satellite views of the Bohai Sea, Yellow Sea, and East China Sea","volume":"104","author":"Shi","year":"2012","journal-title":"Prog. Oceanogr."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"4247","DOI":"10.1364\/AO.31.004247","article-title":"Surface-roughness considerations for atmospheric correction of ocean color sensors I: The Rayleigh-scattering component","volume":"31","author":"Gordon","year":"1992","journal-title":"Appl. Opt."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"492","DOI":"10.1016\/j.jqsrt.2009.10.001","article-title":"Evaluation of sun glint models using MODIS measurements","volume":"111","author":"Zhang","year":"2010","journal-title":"J. Quant. Spectrosc. Radiat. Transf."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"14361","DOI":"10.1029\/96JC00629","article-title":"Spectral reflectance of sea foam in the visible and near infrared:In situ measurements and remote sensing implications","volume":"101","author":"Frouin","year":"1996","journal-title":"J. Geophys. Res."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"5545","DOI":"10.1364\/AO.49.005545","article-title":"New aerosol models for the retrieval of aerosol optical thickness and normalized water-leaving radiances from the SeaWiFS and MODIS sensors over coastal regions and open oceans","volume":"49","author":"Ahmad","year":"2010","journal-title":"Appl. Opt."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Hooker, S., and Firestone, E. (2000). SeaWiFS Postlaunch Calibration and Validation Analyses, Part 3, NASA Technical Memorandum.","DOI":"10.1016\/S0079-6611(00)00012-4"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"5755","DOI":"10.1364\/AO.41.005755","article-title":"Deriving inherent optical properties from water color: A multiband quasi-analytical algorithm for optically deep waters","volume":"41","author":"Lee","year":"2002","journal-title":"Appl. Opt."},{"key":"ref_37","unstructured":"Ahn, Y., Han, H., Yang, H., Moon, J., Ahn, J., Lee, B., Min, J., Lee, S., Kim, K., and Han, T. (2014, November 17). GDPS ATBD (Ver.1.3): GOCI Level 2 Ocean Color Products (GDPS 1.3) Brief Algorithm Description. Available online: http:\/\/kosc.kiost.ac.kr\/eng\/p30\/kosc_p34.html."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"3835","DOI":"10.1364\/OE.21.003835","article-title":"Ocean color products from the Korean Geostationary Ocean Color Imager (GOCI)","volume":"21","author":"Wang","year":"2013","journal-title":"Opt. Express"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1167","DOI":"10.4319\/lo.2006.51.2.1167","article-title":"Seaborne measurements of near infrared water-leaving reflectance: The similarity spectrum for turbid waters","volume":"51","author":"Ruddick","year":"2006","journal-title":"Limnol. Oceanogr."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1639","DOI":"10.1080\/01431160110071879","article-title":"A five channel chlorophyll concentration algorithm applied to SeaWiFS data processed by SeaDAS in coastal waters","volume":"23","author":"Gohin","year":"2002","journal-title":"Int. J. Remote Sens."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"794","DOI":"10.1016\/j.rse.2008.12.005","article-title":"Bio-opticalalgorithm evaluation for MODIS for western Canada coastal waters: An exploratory approach using in situ reflectance","volume":"113","author":"Komick","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1007\/s12601-012-0028-0","article-title":"Evaluation of GOCI sensitivity for At-Sensor radiance and GDPS-Retrieved chlorophyll-aproducts","volume":"47","author":"Hu","year":"2012","journal-title":"Ocean Sci. J."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1016\/j.oceano.2016.05.005","article-title":"Performance of operational satellite bio-optical algorithms in different water types in the southeastern Arabian Sea","volume":"58","author":"Minu","year":"2016","journal-title":"Oceanologia"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/j.isprsjprs.2013.10.013","article-title":"Assessment of satellite ocean color products of MERIS, MODIS and SeaWiFS along the East China Coast (in the Yellow Sea and East China Sea)","volume":"87","author":"Cui","year":"2014","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"C12010","DOI":"10.1029\/2009JC005513","article-title":"Green macroalgae blooms in the Yellow Sea during the spring and summer of 2008","volume":"114","author":"Shi","year":"2009","journal-title":"J. Geophys. Res."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"1219","DOI":"10.1016\/S0967-0645(03)00019-5","article-title":"Seasonal variation of chlorophyll a concentration, primary production and environmental conditions in the subtropical East China Sea","volume":"50","author":"Gong","year":"2003","journal-title":"Deep Sea Res. II"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1007\/s10872-006-0061-7","article-title":"Optimal primary production model and parameterization in the eastern East China Sea","volume":"62","author":"Siswanto","year":"2006","journal-title":"J. Oceanogr."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"1012","DOI":"10.1016\/S1872-2032(06)60020-6","article-title":"Effect of the Yellow Sea Cold Water Mass (YSCWM) on distribution of bacterioplankton","volume":"26","author":"Li","year":"2006","journal-title":"Acta Ecol. Sin."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Son, S.H., and Wang, M. (2010). The Diffuse Attenuation Coefficient Model in the Yellow Sea for the Korean Geostationary Ocean Color Imager (GOCI). Proceedings of SPIE, The International Society for Optical Engineering.","DOI":"10.1117\/12.873335"},{"key":"ref_50","unstructured":"Mueller, J.L., and Fargion, G.S. (2002). Ocean Optics Protocols For Satellite Ocean Color Sensor Validation, Revision 3."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"7442","DOI":"10.1364\/AO.38.007442","article-title":"Estimation of the remote-sensing reflectance from above-surface measurements","volume":"38","author":"Mobley","year":"1999","journal-title":"Appl. Opt."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"4828","DOI":"10.1364\/AO.54.004828","article-title":"Polarized reflectance and transmittance properities of windblown sea surfaces","volume":"54","author":"Mobley","year":"2015","journal-title":"Appl. Opt."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"24929","DOI":"10.1364\/OE.21.024929","article-title":"Spectral variability of sea surface skylight reflectance and its effect on ocean color","volume":"21","author":"Cui","year":"2013","journal-title":"Opt. Express"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"26313","DOI":"10.1364\/OE.18.026313","article-title":"Removal of surface-reflected light for the measurement of remote-sensing reflectance from an above-surface platform","volume":"18","author":"Lee","year":"2010","journal-title":"Opt. Express"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0034-4257(98)00031-5","article-title":"AERONET\u2014A federated instrument network and data archive for aerosol characterization","volume":"66","author":"Holben","year":"1998","journal-title":"Remote Sens. Environ."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1016\/S0034-4257(00)00109-7","article-title":"Cloud-screening and quality control algorithms for the AERONET database","volume":"73","author":"Smirnov","year":"2000","journal-title":"Remote Sens. Environ."},{"key":"ref_57","unstructured":"Mueller, J.L., Fargion, G.S., and McClain, C.R. (2017, October 19). Ocean Optics Protocols for Satellite Ocean Color Sensor Validation, Revision 5: Biogeochemical and Bio- Optical Measurements and Data Analysis Protocols, Available online: https:\/\/seabass.gsfc.nasa.gov\/wiki\/System_Description\/Protocols_Ver5_VolV.pdf."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1007\/s12601-012-0024-4","article-title":"Overview of geostationary ocean color imager (GOCI) and GOCI data processing system (GDPS)","volume":"47","author":"Ryu","year":"2012","journal-title":"Ocean Sci. J."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/j.rse.2006.01.015","article-title":"A multi-sensor approach for the on-orbit validation of ocean color satellite data products","volume":"102","author":"Bailey","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1007\/s12601-012-0029-z","article-title":"Assessment of GOCI radiometric products using MERIS, MODIS and field measurements","volume":"47","author":"Lamquin","year":"2012","journal-title":"Ocean Sci. J."},{"key":"ref_61","doi-asserted-by":"crossref","unstructured":"Carswell, T., Costa, M., and Young, E. (2017). Evaluation of MODIS-Aqua Atmospheric Correction and Chlorophyll Products of Western North American Coastal Waters Based on 13 Years of Data. J. Remote Sens., 9.","DOI":"10.3390\/rs9101063"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"31333","DOI":"10.1029\/1999JD900923","article-title":"The wavelength dependence of the optical depth of biomass burning, urban and desert dust aerosols","volume":"104","author":"Eck","year":"1999","journal-title":"J. Geophys. Res."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1029\/2005JD006328","article-title":"Angstrom exponent and bimodal size distributions","volume":"111","author":"Schuster","year":"2006","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Choi, J.K., Park, Y.J., and Ahn, J.H. (2012). GOCI, the world\u2019s first geostationary ocean color observation satellite, for the monitoring of temporal variability in coastal water turbidity. J. Geophys. Res. Oceans, 117.","DOI":"10.1029\/2012JC008046"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"21162","DOI":"10.1364\/OE.21.021162","article-title":"Spectral relationships for atmospheric correction I Validation of red and near infra-red marine reflectance relationships","volume":"21","author":"Goyens","year":"2013","journal-title":"Opt. Express"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"10435","DOI":"10.1364\/OE.26.010435","article-title":"Saturation of water reflectance in extremely turbid media based on field measurements, satellite data and bio-optical modelling","volume":"26","author":"Luo","year":"2018","journal-title":"Opt. Express"},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"1617","DOI":"10.1016\/j.rse.2011.01.015","article-title":"Spectral variations in the near-infrared ocean reflectance","volume":"115","author":"Doron","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"23955","DOI":"10.1364\/OE.25.023955","article-title":"Ocean color retrieval from MWI onboard the Tiangong-2 Space Lab: Preliminary results","volume":"25","author":"He","year":"2017","journal-title":"Opt. Express"},{"key":"ref_69","unstructured":"Shettle, E.P., and Fenn, R.W. (1979). Models for the Aerosols of the Lower Atmosphere and the Effects of Humidity Variations on Their Optical Properties, Air Force Geophysics Lab. No. AFGL-TR-79\u20130214."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"29659","DOI":"10.1364\/OE.24.029659","article-title":"Simple aerosol correction technique based on the spectral relationships of the aerosol multiple-scattering reflectances for atmospheric correction over the oceans","volume":"24","author":"Lee","year":"2016","journal-title":"Opt. Express"},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"5458","DOI":"10.1109\/TGRS.2015.2422831","article-title":"Correction of Stray-light Driven Interslot Radiometric Discrepancy (ISRD) Present in Radiometric Products of Geostationary Ocean Color Imager (GOCI)","volume":"53","author":"Kim","year":"2015","journal-title":"IEEE Trans Geosci. Remote Sens."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/01431161.2018.1557793","article-title":"Vicarious calibration of GOCI for the SeaDAS ocean color retrieval","volume":"40","author":"Concha","year":"2019","journal-title":"Int. J. Remote Sens."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"23236","DOI":"10.1364\/OE.23.023236","article-title":"Vicarious calibration of the Geostationary Ocean Color Imager","volume":"23","author":"Ahn","year":"2015","journal-title":"Opt. Express"},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"25703","DOI":"10.3390\/s151025703","article-title":"Comparative Analysis of GOCI Ocean Color Products","volume":"15","author":"Amin","year":"2015","journal-title":"Sensors"},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.rse.2007.02.012","article-title":"Variability and classification of remote sensing reflectance spectra in the eastern English Channel and southern North Sea","volume":"110","author":"Lubac","year":"2007","journal-title":"Remote Sens. Environ."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"306","DOI":"10.1016\/j.rse.2012.03.004","article-title":"Optical classification of contrasted coastal waters","volume":"123","author":"Vantrepotte","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_77","unstructured":"Mobley, C.D., Werdell, P.J., and Franz, B. (2016). Atmospheric Correction for Satellite Ocean Color Radiometry: A Tutorial and Documentation of the Algorithms Used by the NASA Ocean Biology Processing Group, Sequoia Scientific, Inc."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"23321","DOI":"10.1029\/98JD02709","article-title":"Derivation of aerosol properties from satellite measurements of backscattered ultraviolet radiation: Theoretical basis","volume":"103","author":"Torres","year":"1998","journal-title":"J. Geophys. Res."},{"key":"ref_79","unstructured":"Cho, S. (2014, December 12). Lunar Calibration Workshop, Introduction of GOCI and GOCI-II Mission with Lunar Calibration. EUMETSAT, Darmstadt, Germany. Available online: http:\/\/gsics.atmos.umd.edu\/pub\/Development\/ LunarCalibrationWorkshop\/4b_Cho_GOCI2.pdf."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/14\/1631\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T13:04:06Z","timestamp":1760187846000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/14\/1631"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7,10]]},"references-count":79,"journal-issue":{"issue":"14","published-online":{"date-parts":[[2019,7]]}},"alternative-id":["rs11141631"],"URL":"https:\/\/doi.org\/10.3390\/rs11141631","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,7,10]]}}}