High resolution mapping of sediment organic matter from acoustic reflectance data

Natalia Serpetti*, Mike Heath, Malcolm Rose, Ursula Witte

*Corresponding author for this work

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

Spatial mapping of the marine environment is challenging when the properties concerned are difficult to measure except by shore-based analysis of discrete samples of material, usually from sparsely distributed sites. This is the case for many seabed sediment properties. We developed an indirect approach to mapping the organic content of coastal sediments from hydro-acoustic reflectance data. The basis was that both organic matter and acoustic reflectance are related to sediment type and grain size composition. Hence there is a collateral relationship between organic matter content and reflectance properties which can be exploited to enable high resolution mapping. We surveyed an area of seabed off the east coast of Scotland using a vessel mounted single beam echosounder with RoxAnn signal processing. Organic carbon, nitrogen and phytoplankton pigment contents were then measured in material from grab and core samples collected at intervals over a year. Relationships between the organic components and hydroacoustic characteristics were derived by general additive models, and used to construct high resolution maps from the acoustic survey data. Our method is an advance on traditional interpolation techniques sparse spatial data, and represents a generic approach that could be applied to other properties.

Original languageEnglish
Pages (from-to)265-284
Number of pages20
JournalHydrobiologia
Volume680
Issue number1
Early online date29 Nov 2011
DOIs
Publication statusPublished - Jan 2012

Keywords

  • Single beam RoxAnn
  • Ground truthing survey
  • Hardness
  • Roughness
  • Total organic carbon (TOC)
  • Total nitrogen (TN)
  • Chlorophyll-a
  • Pheophytin-a
  • Scotland
  • UK
  • COASTAL MARINE-SEDIMENTS
  • ISLAND SOUND SEDIMENTS
  • NORTH-SEA SEDIMENTS
  • CHLOROPHYLL-A
  • CLASTIC SEDIMENTS
  • SOUTHERN BIGHT
  • CARBON FLUX
  • PRESERVATION
  • COMMUNITIES
  • ASSEMBLAGES

Cite this

High resolution mapping of sediment organic matter from acoustic reflectance data. / Serpetti, Natalia; Heath, Mike; Rose, Malcolm; Witte, Ursula.

In: Hydrobiologia, Vol. 680, No. 1, 01.2012, p. 265-284.

Research output: Contribution to journalArticle

Serpetti, Natalia ; Heath, Mike ; Rose, Malcolm ; Witte, Ursula. / High resolution mapping of sediment organic matter from acoustic reflectance data. In: Hydrobiologia. 2012 ; Vol. 680, No. 1. pp. 265-284.
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title = "High resolution mapping of sediment organic matter from acoustic reflectance data",
abstract = "Spatial mapping of the marine environment is challenging when the properties concerned are difficult to measure except by shore-based analysis of discrete samples of material, usually from sparsely distributed sites. This is the case for many seabed sediment properties. We developed an indirect approach to mapping the organic content of coastal sediments from hydro-acoustic reflectance data. The basis was that both organic matter and acoustic reflectance are related to sediment type and grain size composition. Hence there is a collateral relationship between organic matter content and reflectance properties which can be exploited to enable high resolution mapping. We surveyed an area of seabed off the east coast of Scotland using a vessel mounted single beam echosounder with RoxAnn signal processing. Organic carbon, nitrogen and phytoplankton pigment contents were then measured in material from grab and core samples collected at intervals over a year. Relationships between the organic components and hydroacoustic characteristics were derived by general additive models, and used to construct high resolution maps from the acoustic survey data. Our method is an advance on traditional interpolation techniques sparse spatial data, and represents a generic approach that could be applied to other properties.",
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note = "Acknowledgements This work was co-funded by the Marine Scotland—Science Laboratory Aberdeen, and University of Aberdeen, through the joint Fisheries Research Fund. In addition, the authors acknowledge the support of the MASTS pooling initiative (The Marine Alliance for Science and Technology for Scotland) in the completion of this study. MASTS is funded by the Scottish Funding Council (grant reference HR09011) and contributing institutions. Our thanks to the captains and crews of the research vessels Scotia, Clupea, Alba na Mara and Temora, and to our colleagues who have assisted with various aspects of the work at sea and in the laboratory, especially John Dunn, Steve Hay, Eric Armstrong, Phil Copland, Pete Hayes, Jane Heron, Colin Megginson, Charlie Shand and Paul Stainer. Thanks also to Doug Webster for help with the graphics and for his constant support.",
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N1 - Acknowledgements This work was co-funded by the Marine Scotland—Science Laboratory Aberdeen, and University of Aberdeen, through the joint Fisheries Research Fund. In addition, the authors acknowledge the support of the MASTS pooling initiative (The Marine Alliance for Science and Technology for Scotland) in the completion of this study. MASTS is funded by the Scottish Funding Council (grant reference HR09011) and contributing institutions. Our thanks to the captains and crews of the research vessels Scotia, Clupea, Alba na Mara and Temora, and to our colleagues who have assisted with various aspects of the work at sea and in the laboratory, especially John Dunn, Steve Hay, Eric Armstrong, Phil Copland, Pete Hayes, Jane Heron, Colin Megginson, Charlie Shand and Paul Stainer. Thanks also to Doug Webster for help with the graphics and for his constant support.

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N2 - Spatial mapping of the marine environment is challenging when the properties concerned are difficult to measure except by shore-based analysis of discrete samples of material, usually from sparsely distributed sites. This is the case for many seabed sediment properties. We developed an indirect approach to mapping the organic content of coastal sediments from hydro-acoustic reflectance data. The basis was that both organic matter and acoustic reflectance are related to sediment type and grain size composition. Hence there is a collateral relationship between organic matter content and reflectance properties which can be exploited to enable high resolution mapping. We surveyed an area of seabed off the east coast of Scotland using a vessel mounted single beam echosounder with RoxAnn signal processing. Organic carbon, nitrogen and phytoplankton pigment contents were then measured in material from grab and core samples collected at intervals over a year. Relationships between the organic components and hydroacoustic characteristics were derived by general additive models, and used to construct high resolution maps from the acoustic survey data. Our method is an advance on traditional interpolation techniques sparse spatial data, and represents a generic approach that could be applied to other properties.

AB - Spatial mapping of the marine environment is challenging when the properties concerned are difficult to measure except by shore-based analysis of discrete samples of material, usually from sparsely distributed sites. This is the case for many seabed sediment properties. We developed an indirect approach to mapping the organic content of coastal sediments from hydro-acoustic reflectance data. The basis was that both organic matter and acoustic reflectance are related to sediment type and grain size composition. Hence there is a collateral relationship between organic matter content and reflectance properties which can be exploited to enable high resolution mapping. We surveyed an area of seabed off the east coast of Scotland using a vessel mounted single beam echosounder with RoxAnn signal processing. Organic carbon, nitrogen and phytoplankton pigment contents were then measured in material from grab and core samples collected at intervals over a year. Relationships between the organic components and hydroacoustic characteristics were derived by general additive models, and used to construct high resolution maps from the acoustic survey data. Our method is an advance on traditional interpolation techniques sparse spatial data, and represents a generic approach that could be applied to other properties.

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KW - NORTH-SEA SEDIMENTS

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KW - SOUTHERN BIGHT

KW - CARBON FLUX

KW - PRESERVATION

KW - COMMUNITIES

KW - ASSEMBLAGES

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JF - Hydrobiologia

SN - 0018-8158

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