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10.1016/j.marpolbul.2020.111722

http://scihub22266oqcxt.onion/10.1016/j.marpolbul.2020.111722
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suck abstract from ncbi


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pmid33039790      Mar+Pollut+Bull 2020 ; 161 (Pt A): 111722
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  • Using Copernicus Sentinel-2 and Sentinel-3 data to monitor harmful algal blooms in Southern Chile during the COVID-19 lockdown #MMPMID33039790
  • Rodriguez-Benito CV; Navarro G; Caballero I
  • Mar Pollut Bull 2020[Dec]; 161 (Pt A): 111722 PMID33039790show ga
  • 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.
  • |*COVID-19[MESH]
  • |*Dinoflagellida[MESH]
  • |Animals[MESH]
  • |Chile[MESH]
  • |Harmful Algal Bloom[MESH]
  • |Humans[MESH]
  • |Pandemics[MESH]
  • |Phytoplankton[MESH]


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