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

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Document typeArticle
Defense date2019-07-25
PublisherMultidisciplinary Digital Publishing Institute (MDPI)
Rights accessOpen Access
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Attribution 3.0 Spain
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
CitationSoriano-González, J. [et al.]. First results of phytoplankton spatial dynamics in two NW-Mediterranean bays from chlorophyll-a estimates using sentinel 2: potential implications for aquaculture. "Remote sensing", 25 Juliol 2019, vol. 11, núm. 1756, p. 1-20.
ISSN2072-4292
Publisher versionhttps://www.mdpi.com/2072-4292/11/15/1756
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