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

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

dc.contributor.author	Zhan, Y.
dc.contributor.author	Delegido, J.
dc.contributor.author	Erena, M.
dc.contributor.author	Soria, J.M.
dc.contributor.author	Ruiz-Verdú, A.
dc.contributor.author	Urrego, P.
dc.contributor.author	Sòria-Perpinyà, X.
dc.contributor.author	Vicente, E.
dc.contributor.author	Moreno, J.
dc.date.accessioned	2022-12-12T10:01:46Z
dc.date.available	2022-12-12T10:01:46Z
dc.date.issued	2022
dc.identifier.citation	Zhan, Y. Delegido, J. Erena, M. Soria, J.M. Ruiz-Verdú, A. Urrego, P. Sòria-Perpinyà, X. Vicente, E. Moreno, J. 2022 Mar Menor lagoon (SE Spain) chlorophyll-a and turbidity estimation with Sentinel-2 Limnetica 41 2 1 19
dc.identifier.uri	https://hdl.handle.net/10550/84712
dc.description.abstract	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/m3 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.
dc.language.iso	eng
dc.relation.ispartof	Limnetica, 2022, vol. 41, num. 2, p. 1-19
dc.subject	Mar Contaminació
dc.title	Mar Menor lagoon (SE Spain) chlorophyll-a and turbidity estimation with Sentinel-2
dc.type	journal article	es_ES
dc.date.updated	2022-12-12T10:01:46Z
dc.identifier.doi	10.23818/limn.41.18
dc.identifier.idgrec	150588
dc.rights.accessRights	open access	es_ES