publication . Article . Other literature type . 2019

Pseudo-nitzschia Blooms in a Coastal Upwelling System: Remote Sensing Detection, Toxicity and Environmental Variables

Evangelos Spyrakos; Elina Garet; África González-Fernández; Francisco M Bellas; Jesús Manuel Torres Palenzuela; Luis González Vilas;
Open Access
  • Published: 19 Sep 2019 Journal: Water, volume 11, page 1,954 (eissn: 2073-4441, Copyright policy)
  • Publisher: MDPI AG
Abstract
1 pDA) in the area. This study suggests that even moderate densities of Pseudo-nitzschia in this area might indicate high toxin content. Empirical models for particulate domoic acid (pDA) were developed based on MERIS FR data. The resulting remote-sensing model, including MERIS bands centered around 510, 560, and 620 nm explain 73% of the pDA variance (R2 = 0.73, p &lt
Persistent Identifiers
Subjects
free text keywords: Geography, Planning and Development, Aquatic Science, Biochemistry, Water Science and Technology, <i>Pseudo-nitzschia</i>, MERIS algorithms, Galician <i>rias</i>, satellite, remote sensing, algal, bloom, MERIS, Galician rias, Shellfish, Mussel, Pseudo-nitzschia, biology.organism_classification, biology, Environmental science, Nutrient, Algal bloom, Salinity, Upwelling, Domoic acid, chemistry.chemical_compound, chemistry, Oceanography, lcsh:Hydraulic engineering, lcsh:TC1-978, lcsh:Water supply for domestic and industrial purposes, lcsh:TD201-500
Funded by
EC| CoastObs
Project
CoastObs
Commercial service platform for user-relevant coastal water monitoring services based on Earth observation
  • Funder: European Commission (EC)
  • Project Code: 776348
  • Funding stream: H2020 | IA
Communities
Rural Digital Europe
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