{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T15:27:56Z","timestamp":1760369276538,"version":"build-2065373602"},"reference-count":17,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2016,5,4]],"date-time":"2016-05-04T00:00:00Z","timestamp":1462320000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Korea Ministry of Oceans and Fisheries"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The Geostationary Ocean Color Imager (GOCI) is the world\u2019s first ocean color sensor in geostationary orbit. Although the GOCI has shown excellent radiometric performance with little long-term radiometric degradation and a high signal-to-noise ratio, there are radiometric artefacts in GOCI Level 1 products caused by stray light detected within the GOCI optics. To correct the radiometric bias, we developed an image-based correction algorithm called the correction of the interslot discrepancy using the minimum noise fraction transform (CIDUM) in a previous study and evaluated its performance with respect to the physical radiometric quantity stored in Level 1 products, i.e., top-of-atmosphere radiance. This study evaluated the performance of the CIDUM algorithm in terms of remote sensing reflectance, which is one of the most important products in ocean color remote sensing. The resultant CIDUM-corrected remote sensing reflectance products were validated using both relative (within the image) and absolute references (in situ measurements). Image validation showed that CIDUM corrected the bias in remote sensing reflectance (up to 20%) and reduced the bias to \u22645% in the tested image. In situ validation showed that relative uncertainty was reduced by around 10% within the visible bands and the correlation between the in situ and GOCI radiometric data was enhanced.<\/jats:p>","DOI":"10.3390\/rs8050378","type":"journal-article","created":{"date-parts":[[2016,5,4]],"date-time":"2016-05-04T10:07:08Z","timestamp":1462356428000},"page":"378","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Evaluation of Stray Light Correction for GOCI Remote Sensing Reflectance Using in Situ Measurements"],"prefix":"10.3390","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3237-9794","authenticated-orcid":false,"given":"Wonkook","family":"Kim","sequence":"first","affiliation":[{"name":"Korea Ocean Satellite Center, Korea Institute of Ocean Science and Technology, 787 Haean-ro, Ansan-si, Gyeonggi-do 15627, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jeong-Eon","family":"Moon","sequence":"additional","affiliation":[{"name":"Korea Ocean Satellite Center, Korea Institute of Ocean Science and Technology, 787 Haean-ro, Ansan-si, Gyeonggi-do 15627, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jae-Hyun","family":"Ahn","sequence":"additional","affiliation":[{"name":"Korea Ocean Satellite Center, Korea Institute of Ocean Science and Technology, 787 Haean-ro, Ansan-si, Gyeonggi-do 15627, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Young-Je","family":"Park","sequence":"additional","affiliation":[{"name":"Korea Ocean Satellite Center, Korea Institute of Ocean Science and Technology, 787 Haean-ro, Ansan-si, Gyeonggi-do 15627, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2016,5,4]]},"reference":[{"key":"ref_1","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_2","doi-asserted-by":"crossref","unstructured":"Choi, J.-K., Park, Y.-J., Ahn, J.-H., Lim, H.-S., Eom, J., and Ryu, 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., 117.","DOI":"10.1029\/2012JC008046"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"4322","DOI":"10.1109\/TGRS.2010.2050329","article-title":"An in-orbit radiometric calibration method of the geostationary ocean color imager","volume":"48","author":"Kang","year":"2010","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_4","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_5","doi-asserted-by":"crossref","unstructured":"Oh, E., Hong, J., and Kim, S.-W. (2016). Novel ray tracing method for stray light suppression from ocean remote sensing measurements. Opt. Express, in press.","DOI":"10.1364\/OE.24.010232"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1109\/36.3001","article-title":"A transformation for ordering multispectral data in terms of image quality with implications for noise removal","volume":"26","author":"Green","year":"1988","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1321","DOI":"10.1109\/TGRS.2003.813214","article-title":"Processing Hyperion and ALI for forest classification","volume":"41","author":"Goodenough","year":"2003","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"675","DOI":"10.1109\/36.581987","article-title":"Second simulation of the satellite signal in the solar spectrum, 6S: An overview","volume":"35","author":"Vermote","year":"1997","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1007\/s12601-012-0027-1","article-title":"Initial validation of GOCI water products against in situ data collected around Korean peninsula for 2010\u20132011","volume":"47","author":"Moon","year":"2012","journal-title":"Ocean Sci. J."},{"key":"ref_10","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_11","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_12","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_13","unstructured":"GOCI Sensor Calibration Team Personal Communication."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"7521","DOI":"10.1364\/OE.18.007521","article-title":"Estimation of near-infrared water-leaving reflectance for satellite ocean color data processing","volume":"18","author":"Bailey","year":"2010","journal-title":"Opt. Express"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Shi, W., Jiang, L., and Wang, M. (2012). Atmospheric correction using near-infrared bands for satellite ocean color data processing in the turbid western Pacific region. Opt. Express, 20.","DOI":"10.1364\/OE.20.000741"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"222","DOI":"10.1016\/j.rse.2014.03.026","article-title":"Corrigendum to \u201cA novel method for estimation of aerosol radiance and its extrapolation in the atmospheric correction of satellite data over optically complex oceanic waters\u201d [Remote Sensing of Environment 142 (2014) 188\u2013206]","volume":"148","author":"Singh","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.rse.2015.10.035","article-title":"MEETC2: Ocean color atmospheric corrections in coastal complex waters using a Bayesian latent class model and potential for the incoming sentinel 3\u2014OLCI mission","volume":"172","author":"Saulquin","year":"2016","journal-title":"Remote Sens. Environ."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/5\/378\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:23:16Z","timestamp":1760210596000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/5\/378"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,5,4]]},"references-count":17,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2016,5]]}},"alternative-id":["rs8050378"],"URL":"https:\/\/doi.org\/10.3390\/rs8050378","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2016,5,4]]}}}