ResearchSpace

Ocean colour remote sensing of harmful algal blooms in the Benguela system

Show simple item record

dc.contributor.author Bernard, Stewart
dc.contributor.author Pitcher, G
dc.contributor.author Evers-King, H
dc.contributor.author Robertson, L
dc.contributor.author Matthews, M
dc.contributor.author Rabagliati, A
dc.contributor.author Balt, C
dc.date.accessioned 2015-10-16T05:47:30Z
dc.date.available 2015-10-16T05:47:30Z
dc.date.issued 2014
dc.identifier.citation Bernard, S., Pitcher, G., Evers-King, H., Robertson, L., Matthews, M., Rabagliati, A. and Balt, C. 2014. Ocean colour remote sensing of harmful algal blooms in the Benguela system. In: Remote Sensing of the African Seas. Springer Netherlands en_US
dc.identifier.isbn 978-94-017-8007-0
dc.identifier.uri http://link.springer.com/chapter/10.1007%2F978-94-017-8008-7_10
dc.identifier.uri http://hdl.handle.net/10204/8196
dc.description Copyright: Springer Netherlands. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website. en_US
dc.description.abstract The Benguela, as a highly productive upwelling system, suffers from the occurrence of a variety of harmful algal blooms, most of which are associated with elevated biomass; a feature common to the shelf environment of upwelling systems. Most harmful blooms have in the past been attributed to one or another dinoflagellate species, but more recently harmful impacts have also been ascribed to other groups of phytoplankton, including diatom and autotrophic ciliate species. Typical bloom assemblages, forcing mechanisms and harmful impacts are outlined, and bloom types most amenable to detection with ocean colour radiometry are identified. Inherent and apparent optical properties of these algal assemblage types are described, and a preliminary evaluation is made of the suitability of available ocean colour data and algorithms. The evolution of several bloom events is described using various algorithms applied to ocean colour data from the Medium Resolution Imaging Spectrometer (MERIS), and recommendations are made about optimal ocean colour usage for high biomass algal blooms in coastal zones. en_US
dc.language.iso en en_US
dc.publisher Springer Netherlands en_US
dc.relation.ispartofseries Workflow;14751
dc.subject Benguela en_US
dc.subject Harmful algal blooms en_US
dc.subject Dinoflagellate species en_US
dc.subject Medium Resolution Imaging Spectrometer en_US
dc.subject MERIS en_US
dc.subject Coastal zones en_US
dc.title Ocean colour remote sensing of harmful algal blooms in the Benguela system en_US
dc.type Book Chapter en_US
dc.identifier.apacitation Bernard, S., Pitcher, G., Evers-King, H., Robertson, L., Matthews, M., Rabagliati, A., & Balt, C. (2014). Ocean colour remote sensing of harmful algal blooms in the Benguela system., <i>Workflow;14751</i> Springer Netherlands. http://hdl.handle.net/10204/8196 en_ZA
dc.identifier.chicagocitation Bernard, Stewart, G Pitcher, H Evers-King, L Robertson, M Matthews, A Rabagliati, and C Balt. "Ocean colour remote sensing of harmful algal blooms in the Benguela system" In <i>WORKFLOW;14751</i>, n.p.: Springer Netherlands. 2014. http://hdl.handle.net/10204/8196. en_ZA
dc.identifier.vancouvercitation Bernard S, Pitcher G, Evers-King H, Robertson L, Matthews M, Rabagliati A, et al. Ocean colour remote sensing of harmful algal blooms in the Benguela system.. Workflow;14751. [place unknown]: Springer Netherlands; 2014. [cited yyyy month dd]. http://hdl.handle.net/10204/8196. en_ZA
dc.identifier.ris TY - Book Chapter AU - Bernard, Stewart AU - Pitcher, G AU - Evers-King, H AU - Robertson, L AU - Matthews, M AU - Rabagliati, A AU - Balt, C AB - The Benguela, as a highly productive upwelling system, suffers from the occurrence of a variety of harmful algal blooms, most of which are associated with elevated biomass; a feature common to the shelf environment of upwelling systems. Most harmful blooms have in the past been attributed to one or another dinoflagellate species, but more recently harmful impacts have also been ascribed to other groups of phytoplankton, including diatom and autotrophic ciliate species. Typical bloom assemblages, forcing mechanisms and harmful impacts are outlined, and bloom types most amenable to detection with ocean colour radiometry are identified. Inherent and apparent optical properties of these algal assemblage types are described, and a preliminary evaluation is made of the suitability of available ocean colour data and algorithms. The evolution of several bloom events is described using various algorithms applied to ocean colour data from the Medium Resolution Imaging Spectrometer (MERIS), and recommendations are made about optimal ocean colour usage for high biomass algal blooms in coastal zones. DA - 2014 DB - ResearchSpace DP - CSIR KW - Benguela KW - Harmful algal blooms KW - Dinoflagellate species KW - Medium Resolution Imaging Spectrometer KW - MERIS KW - Coastal zones LK - https://researchspace.csir.co.za PY - 2014 SM - 978-94-017-8007-0 T1 - Ocean colour remote sensing of harmful algal blooms in the Benguela system TI - Ocean colour remote sensing of harmful algal blooms in the Benguela system UR - http://hdl.handle.net/10204/8196 ER - en_ZA


Files in this item

This item appears in the following Collection(s)

Show simple item record