{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T19:40:50Z","timestamp":1767987650815,"version":"3.49.0"},"reference-count":28,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2021,4,8]],"date-time":"2021-04-08T00:00:00Z","timestamp":1617840000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001665","name":"Agence Nationale de la Recherche","doi-asserted-by":"publisher","award":["ANR-19-SARG-0007"],"award-info":[{"award-number":["ANR-19-SARG-0007"]}],"id":[{"id":"10.13039\/501100001665","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Since 2011, massive stranding of the brown algae Sargassum has regularly affected the coastal waters of the West Caribbean, Brazil, and West Africa, leading to heavy environmental and socio-economic impacts. Ocean color remote sensing observations as performed by sun-synchronous satellite sensors such as MODIS (NASA), MERIS (ESA), or OLCI (ESA\/Copernicus) are used to provide quantitative assessments of Sargassum coverage through the calculation of indices as the Alternative Floating Algae Index (AFAI). Sun-synchronous sensors usually provide at best one daytime observation per day of a given oceanic area. However, such a daily temporal revisit rate is not fully satisfactory to monitor the dynamics of Sargassum aggregation due to their potentially significant drift over the course of the day as a result of oceanic currents and sea surface wind stress. In addition, the sun glint and the presence of clouds limit the use of low earth orbit observations, especially in tropical zones. The high frequency sampling provided by geostationary sensors can be a relevant alternative approach in synergy with ocean color sun-synchronous sensors to increase the temporal resolution of the observations, thus allowing efficient monitoring of Sargassum dynamics. In this study, data acquired by a geostationary satellite sensor located at 36,000 km from Earth, namely GOES-16 (NASA\/NOAA), which was primarily designed for meteorology applications, are analyzed to investigate the Sargassum dynamics. The results demonstrate that a GOES-16 hourly composite product is appropriate to identify Sargassum aggregations using an index commonly used for vegetation monitoring, namely NDVI (Normalized Difference Vegetation Index). It is also shown that GOES hourly observations can significantly improve the simulated drift obtained with a transport circulation model, which uses geostrophic current, wind, and waves. This study thus highlights the significant relevance of the effective synergy between sun-synchronous and geostationary satellite sensors for characterizing the Sargassum dynamics. Such a synergy could be summarized as follows: (i) A sun-synchronous sensor enables accurate Sargassum detection and quantitative estimates (e.g., fractional coverage) through AFAI Level-2 products while (ii) a geostationary sensor enables the determination of the displacement features of Sargassum aggregations (velocity, direction).<\/jats:p>","DOI":"10.3390\/rs13081444","type":"journal-article","created":{"date-parts":[[2021,4,8]],"date-time":"2021-04-08T21:27:44Z","timestamp":1617917264000},"page":"1444","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Synergy between Low Earth Orbit (LEO)\u2014MODIS and Geostationary Earth Orbit (GEO)\u2014GOES Sensors for Sargassum Monitoring in the Atlantic Ocean"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2290-6383","authenticated-orcid":false,"given":"Audrey","family":"Minghelli","sequence":"first","affiliation":[{"name":"Laboratoire d\u2019Informatique et Syst\u00e8me (LIS), Universit\u00e9 de Toulon, CNRS UMR 7020, F-83041 Toulon, France"},{"name":"Laboratoire d\u2019Informatique et Syst\u00e8me (LIS), Aix Marseille Universit\u00e9, F-13288 Marseille, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cristele","family":"Chevalier","sequence":"additional","affiliation":[{"name":"Mediterranean Institute of Oceanography (MIO), Aix Marseille Universit\u00e9, CNRS, IRD, UM 110, F-13288 Marseille, France"},{"name":"Mediterranean Institute of Oceanography (MIO), Universit\u00e9 de Toulon, F-83041 Toulon, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jacques","family":"Descloitres","sequence":"additional","affiliation":[{"name":"AERIS\/ICARE Data and Services Center, University of Lille, CNRS, CNES, UMS 2877, F-59000 Lille, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5831-7399","authenticated-orcid":false,"given":"L\u00e9o","family":"Berline","sequence":"additional","affiliation":[{"name":"Mediterranean Institute of Oceanography (MIO), Aix Marseille Universit\u00e9, CNRS, IRD, UM 110, F-13288 Marseille, France"},{"name":"Mediterranean Institute of Oceanography (MIO), Universit\u00e9 de Toulon, F-83041 Toulon, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Philippe","family":"Blanc","sequence":"additional","affiliation":[{"name":"Observation, Impacts, Energy (OIE), MINES ParisTech, PSL University, F-06904 Sophia Antipolis, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7815-0533","authenticated-orcid":false,"given":"Malik","family":"Chami","sequence":"additional","affiliation":[{"name":"Laboratoire Atmosph\u00e8res Milieux Observations Spatiales (LATMOS), Sorbonne Universit\u00e9, CNRS-INSU, F-06304 Nice, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,4,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"3619","DOI":"10.1109\/TGRS.2006.882258","article-title":"Ocean Color Satellites Show Extensive Lines of Floating Sargassum in the Gulf of Mexico","volume":"44","author":"Gower","year":"2006","journal-title":"IEEE Trans. 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