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Synergy between Low Earth Orbit (LEO)—MODIS and Geostationary Earth Orbit (GEO)—GOES Sensors for Sargassum Monitoring in the Atlantic Ocean

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Laboratoire d’Informatique et Système (LIS), Université de Toulon, CNRS UMR 7020, F-83041 Toulon, France
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Laboratoire d’Informatique et Système (LIS), Aix Marseille Université, F-13288 Marseille, France
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Mediterranean Institute of Oceanography (MIO), Aix Marseille Université, CNRS, IRD, UM 110, F-13288 Marseille, France
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Mediterranean Institute of Oceanography (MIO), Université de Toulon, F-83041 Toulon, France
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AERIS/ICARE Data and Services Center, University of Lille, CNRS, CNES, UMS 2877, F-59000 Lille, France
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Observation, Impacts, Energy (OIE), MINES ParisTech, PSL University, F-06904 Sophia Antipolis, France
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Laboratoire Atmosphères Milieux Observations Spatiales (LATMOS), Sorbonne Université, CNRS-INSU, F-06304 Nice, France
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Author to whom correspondence should be addressed.
Academic Editor: Deepak R. Mishra
Remote Sens. 2021, 13(8), 1444; https://doi.org/10.3390/rs13081444
Received: 19 February 2021 / Revised: 19 March 2021 / Accepted: 5 April 2021 / Published: 8 April 2021
(This article belongs to the Section Environmental Remote Sensing)
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). View Full-Text
Keywords: ocean color; sargassum; AFAI index; geostationary remote sensing; GOES ocean color; sargassum; AFAI index; geostationary remote sensing; GOES
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MDPI and ACS Style

Minghelli, A.; Chevalier, C.; Descloitres, J.; Berline, L.; Blanc, P.; Chami, M. Synergy between Low Earth Orbit (LEO)—MODIS and Geostationary Earth Orbit (GEO)—GOES Sensors for Sargassum Monitoring in the Atlantic Ocean. Remote Sens. 2021, 13, 1444. https://doi.org/10.3390/rs13081444

AMA Style

Minghelli A, Chevalier C, Descloitres J, Berline L, Blanc P, Chami M. Synergy between Low Earth Orbit (LEO)—MODIS and Geostationary Earth Orbit (GEO)—GOES Sensors for Sargassum Monitoring in the Atlantic Ocean. Remote Sensing. 2021; 13(8):1444. https://doi.org/10.3390/rs13081444

Chicago/Turabian Style

Minghelli, Audrey, Cristele Chevalier, Jacques Descloitres, Léo Berline, Philippe Blanc, and Malik 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, no. 8: 1444. https://doi.org/10.3390/rs13081444

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