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Advances in the Monitoring of Algal Blooms by Remote Sensing: A Bibliometric Analysis

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Advances in the Monitoring of Algal Blooms by Remote Sensing: A Bibliometric Analysis

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dc.contributor.author Sebastiá-Frasquet, M.-T. es_ES
dc.contributor.author Aguilar-Maldonado, Jesús Antonio es_ES
dc.contributor.author Herrero-Durá, Iván es_ES
dc.contributor.author Santamaría-del-Ángel, Eduardo es_ES
dc.contributor.author Morell-Monzó, Sergio es_ES
dc.contributor.author Estornell Cremades, Javier es_ES
dc.date.accessioned 2024-04-15T18:09:34Z
dc.date.available 2024-04-15T18:09:34Z
dc.date.issued 2020-11 es_ES
dc.identifier.uri http://hdl.handle.net/10251/203511
dc.description.abstract [EN] Since remote sensing of ocean colour began in 1978, several ocean-colour sensors have been launched to measure ocean properties. These measures have been applied to study water quality, and they specifically can be used to study algal blooms. Blooms are a natural phenomenon that, due to anthropogenic activities, appear to have increased in frequency, intensity, and geographic distribution. This paper aims to provide a systematic analysis of research on remote sensing of algal blooms during 1999-2019 via bibliometric technique. This study aims to reveal the limitations of current studies to analyse climatic variability effect. A total of 1292 peer-reviewed articles published between January 1999 and December 2019 were collected. We read all the literature individually to build a database. The number of publications increased since 2004 and reached the maximum value of 128 in 2014. The publications originated from 47 countries, but the number of papers published from the top 10 countries accounted for 77% of the total publications. To be able to distinguish between climate variability and changes of anthropogenic origin for a specific variable is necessary to define the baseline. However, long-term monitoring programs of phytoplankton are very scarce; only 1% of the articles included in this study analysed at least three decades and most of the existing algal blooms studies are based on sporadic sampling and short-term research programs. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Applied Sciences es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Phytoplankton es_ES
dc.subject Ocean colour es_ES
dc.subject Chlorophyll a es_ES
dc.subject SeaWiFS es_ES
dc.subject CZCS es_ES
dc.subject MODIS es_ES
dc.subject MERIS es_ES
dc.subject VIIRS es_ES
dc.subject Sentinel es_ES
dc.subject GOCI es_ES
dc.subject.classification TECNOLOGIA DEL MEDIO AMBIENTE es_ES
dc.subject.classification INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA es_ES
dc.title Advances in the Monitoring of Algal Blooms by Remote Sensing: A Bibliometric Analysis es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/app10217877 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Politécnica Superior de Gandia - Escola Politècnica Superior de Gandia es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Investigación para la Gestión Integral de Zonas Costeras - Institut d'Investigació per a la Gestió Integral de Zones Costaneres es_ES
dc.description.bibliographicCitation Sebastiá-Frasquet, M.; Aguilar-Maldonado, JA.; Herrero-Durá, I.; Santamaría-Del-Ángel, E.; Morell-Monzó, S.; Estornell Cremades, J. (2020). Advances in the Monitoring of Algal Blooms by Remote Sensing: A Bibliometric Analysis. Applied Sciences. 10(21). https://doi.org/10.3390/app10217877 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/app10217877 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 10 es_ES
dc.description.issue 21 es_ES
dc.identifier.eissn 2076-3417 es_ES
dc.relation.pasarela S\421373 es_ES
dc.subject.ods 06.- Garantizar la disponibilidad y la gestión sostenible del agua y el saneamiento para todos es_ES


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