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First results of phytoplankton spatial dynamics in two NW-Mediterranean bays from Chlorophyll-a estimates using Sentinel 2: potential implications for aquaculture

Authors :
Margarita Fernández-Tejedor
Jesús Soriano-González
Eduard Angelats
Carles Alcaraz
Jorge Diogène
Producció Animal
Aigües Marines i Continentals
Universitat Politècnica de Catalunya. Doctorat en Tecnologia Agroalimentària i Biotecnologia
Universitat Politècnica de Catalunya. Doctorat en Ciència i Tecnologia Aeroespacials
Universitat Politècnica de Catalunya. Doctorat en Ciències del Mar
Source :
IRTA Pubpro. Open Digital Archive, Institut de Recerca i Tecnologia Agroalimentàries (IRTA), Remote Sensing, Volume 11, Issue 15, Pages: 1756, r-CTTC: Repositorio Institucional Producción Científica del Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Remote Sensing, Vol 11, Iss 15, p 1756 (2019), UPCommons. Portal del coneixement obert de la UPC, Universitat Politècnica de Catalunya (UPC), r-CTTC. Repositorio Institucional Producción Científica del Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), instname
Publication Year :
2019
Publisher :
MDPI, 2019.

Abstract

Shellfish aquaculture has a major socioeconomic impact on coastal areas, thus it is necessary to develop support tools for its management. In this sense, phytoplankton monitoring is crucial, as it is the main source of food for shellfish farming. The aim of this study was to assess the applicability of Sentinel 2 multispectral imagery (MSI) to monitor the phytoplankton biomass at Ebro Delta bays and to assess its potential as a tool for shellfish management. In situ chlorophyll-a data from Ebro Delta bays (NE Spain) were coupled with several band combination and band ratio spectral indices derived from Sentinel 2A levels 1C and 2A for time-series mapping. The best results (AIC = 72.17, APD < 10%, and MAE < 0.7 mg/m3) were obtained with a simple blue-to-green ratio applied over Rayleigh from Sentinel 2A levels 1C and 2A for time-series mapping. The best results (AIC = 72.17, APD < 10%, and MAE < 0.7 mg/m3) were obtained with a simple blue-to-green ratio applied over Rayleigh corrected images. Sentinel 2–derived maps provided coverage of the farm sites at both bays allowing relating the spatiotemporal distribution of phytoplankton with the environmental forcing under different states of the bays. The applied methodology will be further improved but the results show the potential of using Sentinel 2 MSI imagery as a tool for assessing phytoplankton spatiotemporal dynamics and to encourage better future practices in the management of the aquaculture in Ebro

Details

ISSN :
20724292
Database :
OpenAIRE
Journal :
IRTA Pubpro. Open Digital Archive, Institut de Recerca i Tecnologia Agroalimentàries (IRTA), Remote Sensing, Volume 11, Issue 15, Pages: 1756, r-CTTC: Repositorio Institucional Producción Científica del Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Remote Sensing, Vol 11, Iss 15, p 1756 (2019), UPCommons. Portal del coneixement obert de la UPC, Universitat Politècnica de Catalunya (UPC), r-CTTC. Repositorio Institucional Producción Científica del Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), instname
Accession number :
edsair.doi.dedup.....ceeeb8c54616633d23d42deea24960bc