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Detection of Phytoplankton Temporal Anomalies Based on Satellite Inherent Optical Properties: A Tool for Monitoring Phytoplankton Blooms

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Detection of Phytoplankton Temporal Anomalies Based on Satellite Inherent Optical Properties: A Tool for Monitoring Phytoplankton Blooms

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dc.contributor.author Aguilar-Maldonado, Jesús-Antonio es_ES
dc.contributor.author Santamaria-del-Angel, Eduardo es_ES
dc.contributor.author González-Silvera, Adriana es_ES
dc.contributor.author Sebastiá-Frasquet, M.-T. es_ES
dc.date.accessioned 2020-07-10T03:31:57Z
dc.date.available 2020-07-10T03:31:57Z
dc.date.issued 2019-08-01 es_ES
dc.identifier.uri http://hdl.handle.net/10251/147745
dc.description.abstract [EN] The baseline of a specific variable defines the average behavior of that variable and it must be built from long data series that represent its spatial and temporal variability. In coastal and marine waters, phytoplankton can produce blooms characterized by a wide range of total cells number or chlorophyll a concentration. Classifying a phytoplankton abundance increase as a bloom depends on the species, the study area and the season. The objective of this study was to define the baseline of satellite absorption coefficients in Todos Santos Bay (Baja California, Mexico) to determine the presence of phytoplankton blooms based on the satellite inherent optical properties index (satellite IOP index). Two field points were selected according to historical bloom reports. To build the baseline, the data of phytoplankton absorption coefficients (aphy,GIOP ) and detritus plus colored dissolved organic matter (CDOM) (adCDOM,GIOP ) from the generalized inherent optical property (GIOP) satellite model of the NASA moderate resolution imaging spectroradiometer (MODIS-Aqua) sensor was studied for the period 2003 to 2016. Field data taken during a phytoplankton bloom event on June 2017 was used to validate the use of satellite products. The association between field and satellite data had a significant positive correlation. The satellite baseline detected a trend change from high values to low values of the satellite IOP index since 2010. Improved wastewater treatment to waters discharged into the Bay, and increased aquaculture of filter-feeding mollusks could have been the cause. The methodology proposed in this study can be a supplementary tool for permanent in situ monitoring programs. This methodology offers several advantages: A complete spatial coverage of the specific coastal area under study, appropriate temporal resolution and a tool for building an objective baseline to detect deviation from average conditions during phytoplankton bloom events. es_ES
dc.description.sponsorship This research was funded by the Council of Science and Technology of Mexico (CONACYT by its acronym in Spanish) with a doctorate scholarship to J.A.A.-M., with the announcement number 291025 in 2015. Also, it was funded by the Spanish Ministry of Education Culture and Sports with a post-doctoral research grant to M.T.S.-F., number CAS18/00107, in support of her stay at the Universidad Autonoma de Baja California (Mexico). The APC was funded by the Secretariat of Public Education of Mexico (SEP) under the Program for Professional Development Teacher. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Sensors es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Remote sensing es_ES
dc.subject Absorption coefficients es_ES
dc.subject Phytoplankton bloom es_ES
dc.subject MODIS-Aqua es_ES
dc.subject Pacific Ocean es_ES
dc.subject Baseline es_ES
dc.subject.classification TECNOLOGIA DEL MEDIO AMBIENTE es_ES
dc.title Detection of Phytoplankton Temporal Anomalies Based on Satellite Inherent Optical Properties: A Tool for Monitoring Phytoplankton Blooms es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/s19153339 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/CONACyT//291025/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MECD//CAS18%2F00107/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient es_ES
dc.description.bibliographicCitation Aguilar-Maldonado, J.; Santamaria-Del-Angel, E.; González-Silvera, A.; Sebastiá-Frasquet, M. (2019). Detection of Phytoplankton Temporal Anomalies Based on Satellite Inherent Optical Properties: A Tool for Monitoring Phytoplankton Blooms. Sensors. 19(15). https://doi.org/10.3390/s19153339 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/s19153339 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 19 es_ES
dc.description.issue 15 es_ES
dc.identifier.eissn 1424-8220 es_ES
dc.identifier.pmid 31366087 es_ES
dc.identifier.pmcid PMC6696259 es_ES
dc.relation.pasarela S\392042 es_ES
dc.contributor.funder Ministerio de Educación, Cultura y Deporte es_ES
dc.contributor.funder Secretaría de Educación Pública, México es_ES
dc.contributor.funder Consejo Nacional de Ciencia y Tecnología, México es_ES
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