Optical water characterization and atmospheric correction assessment of estuarine and coastal waters around the AERONET-OC Bahia Blanca

• Autores: Arena, Maximiliano; Pratolongo, Paula Daniela; Loisel, Hubert; Tran, Manh Duy; Schaffer Ferreira, Jorge, Daniel; Delgado, Ana Laura
• Año de publicación: 2024
• Idioma: inglés
• Tipo de recurso: artículo
• Materia: AERONET-OC; optical water types; atmospheric correction; Sentinel 3 OLCI; coastal waters
• Institución: Consejo Nacional de Investigaciones Científicas y Técnicas

The site AERONET-OC Bahía Blanca (BB-AERONET-OC) is located at the mouthof the Bahía Blanca Estuary, Argentina (Southwestern Atlantic Ocean), a coastalsystem defined by its high suspended loads and relatively low colored dissolvedorganic matter. The typically high turbidity of these waters makes the BBAERONET-OC distinctive within the AERONET-OC network stations, providingexceptional opportunities not only for the validation of atmospheric correctionalgorithms but also for the development of regional algorithms for coastalcomplex waters. A SeaWiFS Photometer Revision for Incident SurfaceMeasurements (SeaPRISM) instrument was deployed in January 2020 in theupper rail of a Mareograph Tower, a 15m tall structure, located 10 miles awayfrom the coast in optically deep waters. In this work we used the remote sensingreflectance (Rrs) derived from the BB-AERONET-OC measurements along with insitu hyperspectral radiometric data to classify optical water types (OWTs). Weassigned each Rrs(λ) spectra to one of the five OWTs defined by Tran et al., andOWTs were further characterized with the concentrations of optically significantcomponents (chlorophyll-a and suspended particulate matter) and inherentoptical properties (absorptions of phytoplankton, non-algal particles, anddissolved organic matter), retrieved from water samples obtainedsimultaneously with radiometric spectra. Based on a match-up exercise within situ data, different schemes of atmospheric correction methods were appliedto Sentinel-3 Ocean and Land Colour Instrument (OLCI) images. The operationalproduct OLCI Level 2 European Space Agency (ESA) standard (hereafter referredto as “Standard Neural Network (NN)”) proves to be the most suitable atmosphericcorrection algorithm, which was then used to describe spatial patterns andtemporal variability of the different OWTs in the region. The BB-AERONETOCsite is located in a sharp transition between estuarine and coastal watersthat present contrasting optical conditions: OWT 4 dominates over time (73.72%of the observations), followed by OWT 3 (24.74%) and OWT 5 (1.53%). OWTs 4 and5 are associated with turbid waters of the Bahía Blanca Estuary, especially OWT 5,which typifies the very turbid waters from the inner estuary, with the particulate load dominated by mineral sediments and detritus. OWT 3, in turn, depicts theeutrophic coastal waters of the inner shelf. The variability of OWTs and the relativecontribution of organic and inorganic compounds to the suspended materialwould be mostly related with the prevalence of northwest winds in the area,which would drive the export of estuarine sediments to the shelf.
Fil: Arena, Maximiliano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina
Fil: Pratolongo, Paula Daniela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiárida; Argentina
Fil: Loisel, Hubert. Centre National de la Recherche Scientifique; Francia
Fil: Tran, Manh Duy. Centre National de la Recherche Scientifique; Francia
Fil: Schaffer Ferreira, Jorge, Daniel. Centre National de la Recherche Scientifique; Francia
Fil: Delgado, Ana Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina