Discriminating between Posidonia oceanica meadows and sand substratum using multibeam sonar

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Abstract

High-resolution, multibeam sonar (MBS) (455 kHz) was used to identify two typologies of seabed 8 m deep: Posidonia oceanica meadow and sandy substratum. The results showed that the heterogeneity of the architecture of the P. oceanica canopy and the relatively simple morphology of a sandy substratum can be detected easily by statistical indices such as standard deviation or range-of-beam depth. Based on these indices, an automated classification was performed for seabed mapping. The overall classification accuracy was as high as 99 and 98% in October and January, respectively. The probability that P. oceanica in situ was omitted on the map was <7%, whereas the probability that an area classified as P. oceanica on the map did not correspond to the seagrass in situ was consistently negligible. Based on these results, high-resolution MBS can be considered to be an accurate tool for mapping P. oceanica and sand substrata, and its discriminating power seems to be independent of season (autumn or winter).
Lingua originaleEnglish
pagine (da-a)12-19
Numero di pagine8
RivistaICES Journal of Marine Science
Volume68
Stato di pubblicazionePublished - 2011

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multibeam sonar
meadow
meadows
sand
seagrass
typology
autumn
canopy
winter
in situ
index
posidonia
Posidonia oceanica

All Science Journal Classification (ASJC) codes

  • Oceanography
  • Ecology
  • Aquatic Science
  • Ecology, Evolution, Behavior and Systematics

Cita questo

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title = "Discriminating between Posidonia oceanica meadows and sand substratum using multibeam sonar",
abstract = "High-resolution, multibeam sonar (MBS) (455 kHz) was used to identify two typologies of seabed 8 m deep: Posidonia oceanica meadow and sandy substratum. The results showed that the heterogeneity of the architecture of the P. oceanica canopy and the relatively simple morphology of a sandy substratum can be detected easily by statistical indices such as standard deviation or range-of-beam depth. Based on these indices, an automated classification was performed for seabed mapping. The overall classification accuracy was as high as 99 and 98{\%} in October and January, respectively. The probability that P. oceanica in situ was omitted on the map was <7{\%}, whereas the probability that an area classified as P. oceanica on the map did not correspond to the seagrass in situ was consistently negligible. Based on these results, high-resolution MBS can be considered to be an accurate tool for mapping P. oceanica and sand substrata, and its discriminating power seems to be independent of season (autumn or winter).",
keywords = "bottom classification, mapping, multibeam sonar, Posidonia oceanica, sand, Sicily",
author = "Sebastiano Calvo and Carla Orestano and Antonino Scannavino and Filippo Luzzu and Maria Pirrotta and Agostino Tomasello and {Di Maida}, Germana",
year = "2011",
language = "English",
volume = "68",
pages = "12--19",
journal = "ICES Journal of Marine Science",
issn = "1054-3139",
publisher = "Oxford University Press",

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TY - JOUR

T1 - Discriminating between Posidonia oceanica meadows and sand substratum using multibeam sonar

AU - Calvo, Sebastiano

AU - Orestano, Carla

AU - Scannavino, Antonino

AU - Luzzu, Filippo

AU - Pirrotta, Maria

AU - Tomasello, Agostino

AU - Di Maida, Germana

PY - 2011

Y1 - 2011

N2 - High-resolution, multibeam sonar (MBS) (455 kHz) was used to identify two typologies of seabed 8 m deep: Posidonia oceanica meadow and sandy substratum. The results showed that the heterogeneity of the architecture of the P. oceanica canopy and the relatively simple morphology of a sandy substratum can be detected easily by statistical indices such as standard deviation or range-of-beam depth. Based on these indices, an automated classification was performed for seabed mapping. The overall classification accuracy was as high as 99 and 98% in October and January, respectively. The probability that P. oceanica in situ was omitted on the map was <7%, whereas the probability that an area classified as P. oceanica on the map did not correspond to the seagrass in situ was consistently negligible. Based on these results, high-resolution MBS can be considered to be an accurate tool for mapping P. oceanica and sand substrata, and its discriminating power seems to be independent of season (autumn or winter).

AB - High-resolution, multibeam sonar (MBS) (455 kHz) was used to identify two typologies of seabed 8 m deep: Posidonia oceanica meadow and sandy substratum. The results showed that the heterogeneity of the architecture of the P. oceanica canopy and the relatively simple morphology of a sandy substratum can be detected easily by statistical indices such as standard deviation or range-of-beam depth. Based on these indices, an automated classification was performed for seabed mapping. The overall classification accuracy was as high as 99 and 98% in October and January, respectively. The probability that P. oceanica in situ was omitted on the map was <7%, whereas the probability that an area classified as P. oceanica on the map did not correspond to the seagrass in situ was consistently negligible. Based on these results, high-resolution MBS can be considered to be an accurate tool for mapping P. oceanica and sand substrata, and its discriminating power seems to be independent of season (autumn or winter).

KW - bottom classification, mapping, multibeam sonar, Posidonia oceanica, sand, Sicily

UR - http://hdl.handle.net/10447/53973

M3 - Article

VL - 68

SP - 12

EP - 19

JO - ICES Journal of Marine Science

JF - ICES Journal of Marine Science

SN - 1054-3139

ER -