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Title: Remote sensing of underwater vegetation using single-beam acoustics
Author: Quintino, Victor
Freitas, Rosa
Mamede, Renato
Ricardo, Fernando
Rodrigues, Ana Maria
Mota, Jorge
Pérez-Ruzafa, Ángel
Marcos, Concepción
Keywords: Acoustic methods
Algal cover
Remote sensing
Sediment types
Issue Date: 2010
Publisher: Oxford University Press
Abstract: A single-beam, acoustic, ground-discrimination system (QTC VIEW, Series V) was used to study the distribution of underwater macrophytes in a shallow-water coastal system, employing frequencies of 50 and 200 kHz. The study was conducted in Mar Menor, SE Spain, where the expansion of Caulerpa prolifera has contributed to the silting up of the superficial sediments. A direct relationship was identified between algal biomass and sediment-fines content. Acoustic information on sediment grain size and data on algal biomass were obtained in muddy and sandy sediments, including vegetated and non-vegetated seabed. Non-vegetated muddy areas were created by diving and handpicking the algae. The multivariate acoustic data were analysed under the null hypotheses that there were no acoustic differences between bare seabeds with contrasting superficial sediment types or among low, medium, and high algal-biomass areas, having in mind that grain size can act as a confounding factor. Both null hypotheses were rejected, and the results showed that 200 kHz was better than 50 kHz in distinguishing cover levels of algal biomass. The relationship between the 200-kHz acoustic data and algal biomass suggests utility in modelling the latter using the former.
Peer review: yes
DOI: 10.1093/icesjms/fsp251
ISSN: 1054-3139
Appears in Collections:CESAM - Artigos
DBio - Artigos

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