Mapping of marine benthic habitats using image processing techniques within a raster-based geographic information system

Sotheran, Ian; Foster-Smith, R.L.; Davies, Jamie A.

doi:10.1016/s0272-7714(97)80004-2

Cited by 49 publications

(24 citation statements)

References 3 publications

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“…The acoustic classification data collected were analysed following recognised procedures (e.g. Greenstreet et al 1997, Sotheran et al 1997. Forty-three Box Core sediment samples were used to calibrate the RoxAnn data, relating RoxAnn values (Folk 1954) sediment grades to produce a sediment map based on the same sediment categories as the British Geological Survey (BGS) North Sea sediment maps (ELI-FONTS 1999) (Fig.…”

Section: Methodsmentioning

confidence: 99%

Identifying sandeel Ammodytes marinus sediment habitat preferences in the marine environment

Holland¹,

Greenstreet²,

Gibb³

et al. 2005

Mar. Ecol. Prog. Ser.

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Sandeel abundance and sediment particle size data from 2886 grab samples collected during 14 surveys undertaken in the Wee Bankie/Marr Bank region of the north-western North Sea between 1998 and 2003 are analysed. Odds Ratio, an analysis that compares the proportion of all samples assigned to a particular sediment category, with the proportion of samples containing sandeels assigned to the same category, reveals clear patterns of either selection for, or avoidance of, seabed habitats containing varying proportions of 8 sediment particle size categories. As the proportion of Coarse Gravel, Fine Gravel, Fine Sand, Coarse Silt, Medium Silt and Fine Silt in the seabed habitat increases, sandeels show reduced selection for and increased avoidance of the habitat. Conversely, as the proportion of Coarse Sand and Medium Sand in the sediment increases, sandeels show reduced avoidance of and increased selection for the habitat. Classification Tree and Principal Components Analysis define 8 types of seabed habitat on the basis of their sediment particle size composition that vary in sandeel occupancy rate, sandeel density and the size of sandeels that occupy the habitat. Variation in sandeel density across these 8 habitat types is primarily influenced by the silt content in the sediment. Variation in the size of sandeels occupying each habitat type is mainly dictated by the coarseness of the sediment. The value of such results for the design of grab surveys intended to monitor variation in local sandeel abundance is discussed.KEY WORDS: Ammodytes marinus · Sandeel · Habitat preference · Sediment particle size Resale or republication not permitted without written consent of the publisher

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Section: Methodsmentioning

confidence: 99%

Identifying sandeel Ammodytes marinus sediment habitat preferences in the marine environment

Holland¹,

Greenstreet²,

Gibb³

et al. 2005

Mar. Ecol. Prog. Ser.

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“…Furthermore, different kinds of multivariate statistics have been applied to assist in the evaluation of large data structures obtained by hydroacoustics (e.g. Sotheran et al 1997;Kruss et al 2008;Greenstreet et al 2010).…”

Section: Introductionmentioning

confidence: 99%

Distribution and characteristics of marine habitats in a subpolar bay based on hydroacoustics and bed shear stress estimates—Potter Cove, King George Island, Antarctica

et al. 2014

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Marine habitats worldwide are increasingly pressurized by climate change, especially along the Antarctic Peninsula. Well-studied areas in front of rapidly retreating tidewater glaciers like Potter Cove are representative for similar coastal environments and, therefore, shed light on habitat formation and development on not only a local but also regional scale. The objective of this study was to provide insights into habitat distribution in Potter Cove, King George Island, Antarctica, and to evaluate the associated environmental processes. Furthermore, an assessment concerning the future development of the habitats is provided. To describe the seafloor habitats in Potter Cove, an acoustic seabed discrimination system (RoxAnn) was used in combination with underwater video images and sediment samples. Due to the absence of wave and current measurements in the study area, bed shear stress estimates served to delineate zones prone to sediment erosion. On the basis of the investigations, two habitat classes were identified in Potter Cove, namely soft-sediment and stone habitats that, besides influences from sediment supply and coastal morphology, are controlled by sediment erosion. A future expansion of the stone habitat is predicted if recent environmental change trends continue. Possible implications for the Potter Cove environment, and other coastal ecosystems under similar pressure, include changes in biomass and species composition.

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“…Multibeam systems require ancillary information to describe geological and biological structure. Acoustic classification of seabed habitats represents a recent development in remote sensing of marine landscapes (Sotheran et al, 1997;Greenstreet et al, 1997). Calibrated acoustic classification systems can represent marine habitats across a range of spatial scales (Anderson, 2001).…”

Section: Introductionmentioning

confidence: 99%

Acoustic classification of marine habitats in coastal Newfoundland

Anderson

Gregory

Collins

2002

ICES Journal of Marine Science

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A digital acoustic seabed classification system, QTC View (Series IV) was used in the coastal waters of Newfoundland to characterize and classify marine benthic habitats. The QTC View system was calibrated in Placentia Bay at sites identified independently during a submersible research program. Four different habitats were used for calibration of the QTC View system: mud, gravel, rock, and macroalgae on rock. These different habitats were used as a ''training'' catalogue for real-time classification of marine habitats carried out in Bonavista Bay. The classification data were based on over 2000 km of survey tracks ranging in depth from approximately 10-m to 220-m depth. Post classification analyses were carried out using data visualization techniques, simultaneously comparing the classification data in mathematical and geographic settings. Following post classification, eight different marine habitats were identified using the acoustic system: mud, loose gravel, gravel, rock, sparse algae/cobble, macroalgae, high relief/deep cobble, and wood chips. Throughout the surveyed area, rock habitat dominated, followed by sparse algae/cobble and high relief/cobble habitat types. The wood chip habitat type was identified within a small area that historically had been associated with logging in coastal Newfoundland.

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Mapping of marine benthic habitats using image processing techniques within a raster-based geographic information system

Cited by 49 publications

References 3 publications

Identifying sandeel Ammodytes marinus sediment habitat preferences in the marine environment

Identifying sandeel Ammodytes marinus sediment habitat preferences in the marine environment

Distribution and characteristics of marine habitats in a subpolar bay based on hydroacoustics and bed shear stress estimates—Potter Cove, King George Island, Antarctica

Acoustic classification of marine habitats in coastal Newfoundland

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