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Análisis espacio-temporal de florecimientos algales nocivos en un lago-cráter tropical usando datos MODIS (2003-2020)

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Análisis espacio-temporal de florecimientos algales nocivos en un lago-cráter tropical usando datos MODIS (2003-2020)

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dc.contributor.author Cortés-Macías, Lizette Zareh es_ES
dc.contributor.author Rivera-Caicedo, Juan Pablo es_ES
dc.contributor.author Cepeda-Morales, Jushiro es_ES
dc.contributor.author Hernández-Almeida, Óscar Ubisha es_ES
dc.contributor.author García-Morales, Ricardo es_ES
dc.contributor.author Velarde-Alvarado, Pablo es_ES
dc.coverage.spatial east=-104.5695473; north=21.3632852; name=Lago-cráter de Santa María del Oro, Nayarit, México es_ES
dc.date.accessioned 2023-11-06T13:13:27Z
dc.date.available 2023-11-06T13:13:27Z
dc.date.issued 2023-07-28
dc.identifier.issn 1133-0953
dc.identifier.uri http://hdl.handle.net/10251/199310
dc.description.abstract [EN] The crater lake of Santa María del Oro in Nayarit, presents Algal Blooms (AB) in a cyclical annual manner, the blooming and subsequent decline of these populations creates color changes in the water, generally in the first half of the year. This work evaluated supervised classification algorithms that allow these changes to be identified using data from the MOD09GQ and MYD09GQ products of MODIS sensor in the period from January 2003 to December 2020. Based on a review of AB recorded in the literature and statistical analysis of dispersion graphs, a database of spectral information and lake color state labels were built to evaluate the different classification algorithms. The best classifier was Random Forest with an accuracy of 87.1%. The temporal analysis and spatial evaluation of the blooms incidence showed that may, april and march are the months with the greatest presence of color changes related to AB in the lake. The spatial analysis found that the highest incidence of blooms occurs in the southeast region of the lake and the largest amounts of events occurred in the years 2011, 2008 and 2012 respectively. The influence of the El Niño-Southern Oscillation (ENSO) phenomenon on the incidence of algal blooms in the crater lake is determined due to the temporal pattern between the anomalies in the AB and the Multivariate ENSO Index, where the greater number of AF events occurred in the cold phases of the ENSO. es_ES
dc.description.abstract [ES] El lago-cráter de Santa María del Oro en el estado de Nayarit, México, presenta Florecimientos Algales (FA) de manera cíclica anual, el florecimiento y posterior decaimiento de estas poblaciones de crea cambios de color en el agua, generalmente en la primera mitad del año. Este trabajo evalúo algoritmos de clasificación supervisada que permitan identificar estos cambios usando datos de los productos MOD09GQ y MYD09GQ del sensor MODIS en el período de enero 2003 a diciembre 2020. A partir de una revisión de FA registrados en la literatura y análisis estadísticos de gráficos de dispersión, se construyó una base de datos de información espectral y etiquetas del estado de color del lago para evaluar los diferentes algoritmos de clasificación. El mejor clasificador fue Random Forest con una precisión de 87.1 %, El análisis temporal y la evaluación espacial de la incidencia de los florecimientos mostraron que mayo, abril y marzo son los meses con mayor presencia de cambios de color en el lago relacionados a FA. En el análisis espacial se encontró que la mayor incidencia de florecimientos se da en la región sureste del lago y las mayores cantidades de eventos ocurrieron en los años 2011, 2008 y 2012 respectivamente. Se determina la influencia del fenómeno El Niño- Oscilación del Sur (ENSO) en la incidencia de florecimientos algales en el lago-cráter debido al patrón temporal entre las anomalías en los FA y el índice multivariado de El Niño-Oscilación del Sur, donde el mayor número de eventos de FA se presentaron en las fases frías del ENSO. es_ES
dc.language Español es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.relation.ispartof Revista de Teledetección es_ES
dc.rights Reconocimiento - No comercial - Compartir igual (by-nc-sa) es_ES
dc.subject MODIS es_ES
dc.subject Harmful algal bloom es_ES
dc.subject Turquoise lake es_ES
dc.subject Algoritmos de clasificación de aprendizaje automático es_ES
dc.subject Florecimientos algales nocivos es_ES
dc.subject Lago turquesa es_ES
dc.subject Machine Learning classification algorithms es_ES
dc.title Análisis espacio-temporal de florecimientos algales nocivos en un lago-cráter tropical usando datos MODIS (2003-2020) es_ES
dc.title.alternative Spatio-temporal analysis of algal blooms in tropical crater-lake from MODIS data (2003-2020) es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.4995/raet.2023.19673
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Cortés-Macías, LZ.; Rivera-Caicedo, JP.; Cepeda-Morales, J.; Hernández-Almeida, ÓU.; García-Morales, R.; Velarde-Alvarado, P. (2023). Análisis espacio-temporal de florecimientos algales nocivos en un lago-cráter tropical usando datos MODIS (2003-2020). Revista de Teledetección. (62):39-55. https://doi.org/10.4995/raet.2023.19673 es_ES
dc.description.accrualMethod OJS es_ES
dc.relation.publisherversion https://doi.org/10.4995/raet.2023.19673 es_ES
dc.description.upvformatpinicio 39 es_ES
dc.description.upvformatpfin 55 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.issue 62 es_ES
dc.identifier.eissn 1988-8740
dc.relation.pasarela OJS\19673 es_ES
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