Composite maps of sargassum detection index NFAI (Normalized Floating Algae Index).

Types of dataset: multimission dataset using MODIS instrument onboard AQUA.

DOI: 10.24400/527896/a01-2024.018  -  more metadata

Contents: Daily Sargassum Normalized Floating Algae Index (NFAI) using AQUA satellite. 

Use: study the seasonal variability of the sargassum presence in the Tropical Atlantic from Gulf of Guinea to Gulf of Mexico. Identify areas affected by Sargassum events and localize sargassum rafts.

Condition of access: these products are delivered for any purposes as stated in the licence agreement

Description: Daily gridded products provided in delayed time from December 2020 to a month before current date, made available as part of SeSaM SCO project (https://www.spaceclimateobservatory.org/sesam) . Each map represents the sargassum presence (through normalized floatting alguae index) at 0.0025° (high) or 0.01° (low) resolutions.

Citation: Any use of this dataset must be verified in the AVISO+ license and must cite its DOI 10.24400/527896/a01-2024.018 as well as the following sentence: "This sargassum Floating Algae Detection product using AQUA satellite was produced operationally by CLS in the frame of the SAMTool service, distributed by AVISO+ with the support of SCO-CNES."

Geographic coverage: -100°W/13°E/-5°S/30°N 

Format: NetCDF-4 Classic with CF standards.

Tools:

• user manual

References:

• Gower, J., C. Hu, G. Borstad, and S. King, 2006: Ocean color satellites show extensive lines of floating sargassum in the Gulf of Mexico. IEEE Trans. Geoscience Rem. Sensing, vol. 44, n° 12
• Hu, C., 2009 : A novel ocean color index to detect floating algae in the global oceans. Rem. Sensing of Environment 113, 2118-2129
• Stum, J., Tebri, H., Sutton, M., and Granier, N., 2019: NRT satellite detection and drift forecast of sargassum algae in the Equatorial Atlantic, Poster presented at the IOCS meeting in Busan
• Wang, M., and C. Hu, 2016: Mapping and quantifying sargassum distribution and coverage in the central west Atlantic using MODIS observations. Rem. Sensing of Environment 18 

Copyright : 2020 - ongoing, Cls