A New Algorithm Using Support Vector Machines to Detect and Monitor Bloom-Forming Pseudo-nitzschia f...
A New Algorithm Using Support Vector Machines to Detect and Monitor Bloom-Forming Pseudo-nitzschia from OLCI Data
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Pseudo-nitzschia spp. blooms are a recurrent problem in many coastal areas globally, imposing some significant threats to the health of humans, ecosystems and the economy. Monitoring programmes have been established, where feasible, to mitigate the impacts caused by Pseudo-nitzschia spp. and other harmful algae blooms. The detection of such blooms...
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Full title
A New Algorithm Using Support Vector Machines to Detect and Monitor Bloom-Forming Pseudo-nitzschia from OLCI Data
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TN_cdi_doaj_primary_oai_doaj_org_article_f1c61277539f45e89ab27264a478b0d1
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f1c61277539f45e89ab27264a478b0d1
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ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs16020298
