Mar Menor lagoon (SE Spain) chlorophyll-a and turbidity estimation with Sentinel-2

Mar Menor is a Mediterranean Coastal lagoon with high environmental and social value, but has suffered important episodes of contamination in recent years due to heavy rains, sediment dragging and polluting substances mainly from agriculture as well as the entry of mining waste, causing an increase in eutrophication. Water quality variables such as chlorophyll-a concentration [Chl-a] and turbidity, can be studied through its optical properties by remote sensing techniques. In this work, a methodology is proposed for monitoring [Chl-a] and the turbidity of the Mar Menor using Sentinel-2 images. For this purpose, an extensive database of both variables was used consisting of data taken on different dates between 2016 and 2019 at 12 points of Mar Menor. The images were atmospherically corrected using Case 2 Regional Coast Color Processor (C2RCC) version for turbid waters (C2X) to obtain the water surface reflectance. Then several arithmetic relations between database and reflectance bands used in the bibliography for [Chl-a] and turbidity were analyzed. Comparing the results of each one of these relations with the in situ data, decided that the best index for [Chl-a] estimation is the relation (R560 + R705)/(R560 + R665) with an RMSE = 2.6 mg/m(3) and a NRMSE = 9.1 % and for turbidity R705*R705/R490 with an RMSE = 1.5 NTU and a NRMSE=10.9 %. Finally, by applying these relationships on different dates, thematic maps of [Chl-a] and turbidity of Mar Menor were obtained. One of these images was some days after September 2019 torrential rains, in which a considerable [Chl-a] and turbidity increase was observed.

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Zhan Y. Delegido J. Erena M. Soria J. M. Ruiz-Verdu A. Urrego P. Soria-Perpinya X. Vicente E. y Moreno J. Mar Menor lagoon (SE Spain) chlorophyll-a and turbidity estimation with Sentinel-2. Universitat de València, 2022. https://doi.org/10.23818/limn.41.18

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Tipo de recurso Artículo
Fecha de creación 05-11-2024
Fecha de última modificación 18-01-2025
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Identificador de los metadatos 26fd2b61-79aa-5fe3-bcbe-997a2ef4d034
Idioma de los metadatos Español
Temáticas (NTI-RISP)
Categoría del conjunto de alto valor (HVD) Observación de la Tierra y medio ambiente
Categoría temática ISO 19115 biota
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Nombre del autor Zhan, Y., Delegido, J., Erena, M., Soria, J. M., Ruiz-Verdu, A., Urrego, P., Soria-Perpinya, X., Vicente, E., y Moreno, J.
Nombre del editor Universitat de València
Identificador alternativo DOI: 10.23818/limn.41.18
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Email del autor jesus.delegido@uv.es
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