{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T05:57:42Z","timestamp":1763445462445,"version":"build-2065373602"},"reference-count":68,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2021,3,3]],"date-time":"2021-03-03T00:00:00Z","timestamp":1614729600000},"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":["2019YFA0607004"],"award-info":[{"award-number":["2019YFA0607004"]}],"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>The accurate monitoring and measurement of sea ice thickness (SIT) is crucial for understanding climate change and preventing economic losses caused by sea ice disasters near coastal regions. In this study, a new method is developed to retrieve the SIT in Liaodong Bay (LDB) based on the Rayleigh-corrected reflectance from Geostationary Ocean Color Imager (GOCI) images in the winters of 2012 and 2013. Compared with previously developed SIT retrieval methods (e.g., the method based on the thermodynamic principle of sea ice) using remote sensing data, our method has significant advantages with respect to the inversion accuracy (achieving retrieval skill scores as high as 0.86) and spatiotemporal resolution. Moreover, there is no significant increase in the computational cost with this method, which makes the method suitable for operational SIT retrieval in the global ocean.<\/jats:p>","DOI":"10.3390\/rs13050936","type":"journal-article","created":{"date-parts":[[2021,3,3]],"date-time":"2021-03-03T05:10:16Z","timestamp":1614748216000},"page":"936","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Sea Ice Thickness Retrieval Based on GOCI Remote Sensing Data: A Case Study"],"prefix":"10.3390","volume":"13","author":[{"given":"Fengguan","family":"Gu","sequence":"first","affiliation":[{"name":"Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China"},{"name":"Key Laboratory of Tropical Atmosphere\u2013Ocean System, Ministry of Education, Zhuhai 519082, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rui","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Marine Sciences, Sun Yat-sen University, Guangzhou 510275, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangshan","family":"Tian-Kunze","sequence":"additional","affiliation":[{"name":"Alfred-Wegener-Institut Helmholtz-Zentrum f\u00fcr Polar-und Meeresforschung, 27570 Bremerhaven, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bo","family":"Han","sequence":"additional","affiliation":[{"name":"Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China"},{"name":"Key Laboratory of Tropical Atmosphere\u2013Ocean System, Ministry of Education, Zhuhai 519082, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Marine Sciences, Sun Yat-sen University, Guangzhou 510275, China"},{"name":"Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering, Sun Yat-sen University, Guangzhou 510275, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tingwei","family":"Cui","sequence":"additional","affiliation":[{"name":"Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China"},{"name":"Key Laboratory of Tropical Atmosphere\u2013Ocean System, Ministry of Education, Zhuhai 519082, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7114-2036","authenticated-orcid":false,"given":"Qinghua","family":"Yang","sequence":"additional","affiliation":[{"name":"Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China"},{"name":"Key Laboratory of Tropical Atmosphere\u2013Ocean System, Ministry of Education, Zhuhai 519082, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,3,3]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1175\/1520-0442(1995)008<0240:SIACFM>2.0.CO;2","article-title":"Sea ice-albedo climate feedback mechanism","volume":"8","author":"Curry","year":"1995","journal-title":"J. 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