Theia Sentinel-2 Water Quality Priors

The Theia Sentinel-2 Water Quality - Level -2A dataset provides rasterized corrected water reflectances data from Sentinel-2 MultiSpectral instrument, along with appropriate flags. This dataset is a prior to the OBS2CO (OBservations multi-Sites de la Couleur des Eaux continentales) water quality processing chain.

The dataset is generated using an improved version of the GRS (Glint Removal for Sentinel-2) algorithm, proposed by Harmel et al., 2018. developed by CNES on behalf of THEIA, with the support of Magellium and French scientific institutions from Theia’s Scientific Expertise Center on continental waters (https://www.theia-land.fr/en/blog/ceslist/colours-of-the-continental-waters-sec):

• Géosciences Environnement Toulouse, Université de Toulouse-IRD-CNRS-CNES, Toulouse, France
• INRAE, Aix Marseille Université, UMR RECOVER, Aix-en-Provence, France
• Office français de la Biodiversité, Service ECOAQUA, DRAS, Aix-en-Provence, France
• Pôle R&D ECLA, Aix-en-Provence, France
  

The dataset is organized into the original Sentinel-2 UTM Tiling Grid provided by Copernicus. Each of tiles nominally contains data over 100km x 100km regions.

To learn more on this modified version of GRS, please refer to : Tristan Harmel, Malik Chami, Thierry Tormos, Nathalie Reynaud, Pierre-Alain Danis, Sunglint correction of the Multi-Spectral Instrument (MSI)-SENTINEL-2 imagery over inland and sea waters from SWIR bands, Remote Sensing of Environment, Volume 204, 2018, Pages 308-321, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.10.022.

The dataset can be cited using the following DOI: https://doi.org/10.24400/329360/L2A_GRS.