Algorithms applied for monitoring pelagic Sargassum
Por: Lazcano Hernández, Hugo Enrique. Doctor [autor].
Arellano Verdejo, Javier [autor] | Rodríguez Martínez, Rosa E [autora].
Tipo de material: Artículo en línea Tipo de contenido: Texto Tipo de medio: Computadora Tipo de portador: Recurso en líneaTema(s): Sargassum | Macroalgas | Sensores remotos | Monitoreo ambiental | Indicadores ambientales | Ciencia ciudadanaTema(s) en inglés: Sargassum | Macroalgae | Remote sensing | Environmental monitoring | Environmental indicators | Citizen scienceNota de acceso: Acceso en línea sin restricciones En: Frontiers in Marine Science. Volumen 10, artículo número 1216426 (August 2023), páginas 1-19. --ISSN: 2296-7745Número de sistema: 6343Resumen:Tipo de ítem | Biblioteca actual | Colección | Signatura | Estado | Fecha de vencimiento | Código de barras |
---|---|---|---|---|---|---|
Artículos | Biblioteca Electrónica Recursos en línea (RE) | ECOSUR | Recurso digital | ECO40000006343 |
Acceso en línea sin restricciones
Massive arrivals of pelagic Sargassum to the coasts of several countries in the Atlantic Ocean began in 2011. Monitoring the abundance and distribution of Sargassum in the ocean and along the coasts is necessary to understand the phenomena better and develop forecasting products and management protocols. Most Sargassum monitoring has been conducted in the open ocean through traditional remote sensing techniques. However, since the most significant ecologic and socioeconomic impacts occur on the coasts, it is necessary to monitor these macroalgae on nearshore waters and beaches. This manuscript reviews the remote sensing algorithms used in Sargassum observation reported in the last 17 years in more than sixty high-impact scientific publications. The discussion regarding the evolution of the methodologies used for monitoring these macroalgae allowed us to conclude that the synergy generated by incorporating new disciplines like artificial intelligence and citizen science has positively impacted the development of this field. Additionally, the current state-of-the-art methods, the fundamental challenges, and the directions for future research are also discussed. eng