Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/222180
COMPARTIR / EXPORTAR:
SHARE CORE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | Using Copernicus Sentinel-2 and Sentinel-3 data to monitor harmful algal blooms in Southern Chile during the COVID-19 lockdown |
Autor: | Rodríguez-Benito, Cristina V.; Navarro, Gabriel CSIC ORCID ; Caballero, Isabel CSIC ORCID | Palabras clave: | Copernicus programme Remote sensing COVID-19 lockdowns Harmful algal blooms Dinoflagellates Salmonid aquaculture |
Fecha de publicación: | 2020 | Editor: | Elsevier BV | Citación: | Marine Pollution Bulletin 161 (A): 111722 (2020) | Resumen: | During the southern summer of 2020, large phytoplankton blooms were detected using satellite technology in Chile (western Patagonia), where intensive salmonid aquaculture is carried out. Some harvesting sites recorded massive fish mortalities, which were associated with the presence of the dinoflagellate species Cochlodinium sp. The bloom included other phytoplankton species, as Lepidodinium chlorophorum, which persistently changed the colour of the ocean to green. These blooms coincided with the government-managed emergency lockdown due to the COVID-19 pandemic. Local in situ sampling was slowed down. However, imagery from the Copernicus programme allowed operational monitoring. This study shows the benefits of both Sentinel-3 and Sentinel-2 satellites in terms of their spectral, spatial and temporal capabilities for improved algal bloom monitoring. These novel tools, which can foster optimal decision-making, are available for delivering early alerts in situations of natural catastrophes and blockages, such as those occurred during the global COVID-19 lockdown. | Versión del editor: | https://doi.org/10.1016/j.marpolbul.2020.111722 | URI: | http://hdl.handle.net/10261/222180 | DOI: | 10.1016/j.marpolbul.2020.111722 | ISSN: | 0025-326X |
Aparece en las colecciones: | (PTI Salud Global) Colección Especial COVID-19 (ICMAN) Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
Using Copernicus Sentinel_RodriguezBenito.pdf | 21,93 MB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
PubMed Central
Citations
8
checked on 15-may-2024
SCOPUSTM
Citations
50
checked on 17-may-2024
WEB OF SCIENCETM
Citations
40
checked on 23-feb-2024
Page view(s)
202
checked on 20-may-2024
Download(s)
438
checked on 20-may-2024
Google ScholarTM
Check
Altmetric
Altmetric
Artículos relacionados:
NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.