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  • NEANIAS Underwater Research Community

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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Innangi S.; Tonielli R.; Di Martino G.; Innangi M.; +1 Authors

    In the course of three years, the CNR-ISMAR of Naples carried out the surveys ("Lampedusa 2015", "Linosa 2016" and "BioGeoLin 2017") with the aim of studying the seabed of the insular shelf of Lampedusa, Linosa and Lampione, the three islands belonging to the Pelagie Archipelago. A common feature of all three surveys was the use of the multibeam Teledyne Reson SeaBat 7125 400 kHz (Innangi et al., 2018; Innangi et al., 2019), providing sub-centimetric resolution in the bathymetric data at that depth range between 5 to 180 m. Furthermore, the vessels employed were equipped with the same auxiliary instruments, i.e. an Oministar DGPS (for position data), an IxSea Octans 3000 (for attitude data), and a Valeport mini-SVS sound velocity probe installed near the transducer (for beam steering). For all surveys, the snippet data was logged (as backscatter information) with the same Absorption and Spread acquisition parameters. Also the data processing was the same, e.g. the snippet data was processed using FMGeocoder Toolbox (FMGT) in Fledermaus 7.6 version (QPS, 2016) to produce mosaic images with the same amplitude range, from -60 dB (lighter tones, corresponding to low backscatter) to -25 dB (dark grey tones, corresponding to high backscatter). Furthermore, ground-truth information, in the form of video-investigation (for all islands) and grab samples (only for Linosa and Lampione), were collected during the surveys. These characteristics made it possible to analyse all islands with RSOBIA (Remote Sensing Object Based Image Analysis) with the integrated information derived from backscatter data and bathy-morphological features, validated by ground-truth data (Innangi et al., 2018; Innangi et al., 2019) to produce three seabed maps, including seagrass distribution and benthoscape classification (according to Lacharité et al., 2017), and comparable to each other. Finally, it must be emphasized that the maps provided the first indication of the occurrence of rhodolith and maërl habitats at Lampione and Linosa, which are among the most important ecosystems in the Mediterranean Sea, while for Lampedusa further ground-truth data are necessary to better characterize the acoustic facies pattern of the island (Innangi et al., 2018; Innangi et al., 2019)

    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao CNR ExploRAarrow_drop_down
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    CNR ExploRA
    Conference object . 2019
    Data sources: CNR ExploRA
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao CNR ExploRAarrow_drop_down
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      CNR ExploRA
      Conference object . 2019
      Data sources: CNR ExploRA
  • Authors: Li, J.; Siwabessy, J.;

    This dataset contains hardness prediction data from seabed mapping surveys on the Van Diemen Rise in the eastern Joseph Bonaparte Gulf of the Timor Sea. The survey was conducted under a Memorandum of Understanding between Geoscience Australia (GA) and the Australian Institute of Marine Science (AIMS) in two consecutive years 2009 (GA survey number GA-0322 and AIMS survey number SOL4934) and 2010 (GA survey number GA-0325 and AIMS survey number SOL5117). The surveys obtained detailed geological (sedimentological, geochemical, geophysical) and biological data (macro-benthic and infaunal diversity, community structure) for the banks, channels and plains to investigate relationships between the physical environment and associated biota for biodiversity prediction. The surveys also provide Arafura-Timor Sea, and wider northern Australian marine region context for the benthic biodiversity of the Van Diemen Rise. Four study areas were investigated across the outer to inner shelf. Refer to the GA record 'Methodologies for seabed substrate characterisation using multibeam bathymetry, backscatter, and video data: A case study for the Eastern Joseph Bonaparte Gulf, Northern Australia' for further information on processing techniques applied (GeoCat: 74092; GA Record: 2013/11).

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Massimo Di Stefano;

    Files used to test the groundtruther QGIS plugin [https://github.com/epifanio/groundtruther] - It includes a bathymetric surface [geotif], a set of seafloor images [jpg] and relative metadata [parquet] and image

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    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: Datacite
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    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: ZENODO
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      ZENODO
      Dataset . 2023
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      ZENODO
      Dataset . 2023
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Patrick Lajeunesse; Gabriel Joyal; Jean-Guy Nistad;

    Acoustic data was generated from the multibeam Kongsberg Simrad EM300 and EM302 multibeam sonar system on the CCGS Amundsen. This bathymetric data subset covers the Greenlandic Economic Exclusive Zone (EEZ), i.e. outside of the 12 nm territorial sea extent and within the 200 nm EZZ, from 2003 to 2014. The datasets consist of high-resolution bathymetry and acoustic backscatter imagery collected 24 hours a day, whenever the ship was in transit or had dedicated survey time. Standard collection settings used dual-ping, FM pulse, auto depth mode, angular coverage of +/- 60 degrees and high density equidistant beamforming. The SIS software was used to collect the data, while near real-time cleaning of data outliers was done using the Caris HIPS&SIPS software after conversion to Generic Sensor Format (GSF) for input into MB-System database manager. Inertial Measurement Unit (IMU) data was parsed by SIS from a POSMv 320 v.4. RTG GPS data from the CNav 3050 GPS was used to correct and improve the position output from the POSMv with RTCM correction. Soundspeed information was either from CTD Rosette casts, MVP300 data or simulated from the World Ocean Atlas 2009 database. The resolution of data is 10 metres. Available tiles are in ESRI grid format (.asc). The OMG of University of New Brunswick were responsible for 2003-2013 data (http://www.omg.unb.ca/Projects). From 2014, responsibility switched to the Marine Geomorphology Laboratory of Laval University.

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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Federated Research D...arrow_drop_down
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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    Authors: Lozano-Ordóñez, P. (Pablo); Fernández-Salas, L.M. (Luis Miguel); Rueda, J.L. (José Luis); López-González, N. (Nieves); +5 Authors

    Advances in remotely-sensed techniques have revolutionized mapping methods and our understanding of the seabed environment. In particular, multibeam backscatter data nowadays allows developing quantitative studies on the composition of the seafloor, which represents an important baseline for habitat mapping. Usually, the acoustic response is considered as a direct proxy of sediment texture, but seepage could affect significantly this relationship. A multibeam data set from the Gulf of Cádiz, was grouped using an ISO-cluster analysis and results were compared with 80 ground-truthing stations taken inside and outside cold seepage areas. Results show significant differences between the acoustic response of sediments with the same texture depending on the presence/absence of fluid emissions. Understanding this relationship is necessary to make image-based backscatter classification that allows the production of sediment and habitat maps in areas with extensive fluid emissions such as the Gulf of Cádiz.

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    Repositorio Institucional Digital del IEO
    Part of book or chapter of book . 2015
    License: CC BY NC ND
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    Recolector de Ciencia Abierta, RECOLECTA
    Part of book or chapter of book . 2015
    License: CC BY NC ND
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      Repositorio Institucional Digital del IEO
      Part of book or chapter of book . 2015
      License: CC BY NC ND
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      Recolector de Ciencia Abierta, RECOLECTA
      Part of book or chapter of book . 2015
      License: CC BY NC ND
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Karolina Trzcinska; Jaroslaw Tegowski; Pawel Pocwiardowski; Lukasz Janowski; +5 Authors

    Acoustic seafloor measurements with multibeam echosounders (MBESs) are currently often used for submarine habitat mapping, but the MBESs are usually not acoustically calibrated for backscattering strength (BBS) and cannot be used to infer absolute seafloor angular dependence. We present a study outlining the calibration and showing absolute backscattering strength values measured at a frequency of 150 kHz at around 10–20 m water depth. After recording bathymetry, the co-registered backscattering strength was corrected for true incidence and footprint reverberation area on a rough and tilted seafloor. Finally, absolute backscattering strength angular response curves (ARCs) for several seafloor types were constructed after applying sonar backscattering strength calibration and specific water column absorption for 150 kHz correction. Thus, we inferred specific 150 kHz angular backscattering responses that can discriminate among very fine sand, sandy gravel, and gravelly sand, as well as between bare boulders and boulders partially overgrown by red algae, which was validated by video ground-truthing. In addition, we provide backscatter mosaics using our algorithm (BBS-Coder) to correct the angle varying gain (AVG). The results of the work are compared and discussed with the published results of BBS measurements in the 100–400 kHz frequency range. The presented results are valuable in extending the very sparse angular response curves gathered so far and could contribute to a better understanding of the dependence of backscattering on the type of bottom habitat and improve their acoustic classification. multibeam echosounder, bottom backscattering strength angular response, backscatter correction 1-22 100 23

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    Remote Sensing
    Other literature type . Article . 2021 . Peer-reviewed
    License: CC BY
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    Article . 2021
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      Other literature type . Article . 2021 . Peer-reviewed
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    Authors: John Hughes Clarke;

    Ocean Mapping Group acoustic data generated from the 2004 multibeam sonar survey on the 2004 CCGS Amundsen ArcticNet Cruise. The data include high-resolution bathymetry and acoustic backscatter imagery collected 24 hours a day, whenever the ship was in transit or had dedicated survey time.

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    Authors: John Hughes Clarke;

    Ocean Mapping Group acoustic data generated from the 2011 multibeam sonar survey on the 2011 CCGS Amundsen ArcticNet Cruise. The data include high-resolution bathymetry and acoustic backscatter imagery collected 24 hours a day, whenever the ship was in transit or had dedicated survey time.

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    Authors: John Hughes Clarke;

    Ocean Mapping Group acoustic data generated from the 2009 multibeam sonar survey on the 2009 CCGS Amundsen ArcticNet Cruise. The data include high-resolution bathymetry and acoustic backscatter imagery collected 24 hours a day, whenever the ship was in transit or had dedicated survey time.

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    Authors: John Hughes Clarke;

    Ocean Mapping Group binary format data generated from the 2012 multibeam sonar survey on the 2012 M/V Nuliajuk Government of Nunavut Cruise. The data include high-resolution bathymetry, acoustic backscatter and watercolumn backscatter.

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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Innangi S.; Tonielli R.; Di Martino G.; Innangi M.; +1 Authors

    In the course of three years, the CNR-ISMAR of Naples carried out the surveys ("Lampedusa 2015", "Linosa 2016" and "BioGeoLin 2017") with the aim of studying the seabed of the insular shelf of Lampedusa, Linosa and Lampione, the three islands belonging to the Pelagie Archipelago. A common feature of all three surveys was the use of the multibeam Teledyne Reson SeaBat 7125 400 kHz (Innangi et al., 2018; Innangi et al., 2019), providing sub-centimetric resolution in the bathymetric data at that depth range between 5 to 180 m. Furthermore, the vessels employed were equipped with the same auxiliary instruments, i.e. an Oministar DGPS (for position data), an IxSea Octans 3000 (for attitude data), and a Valeport mini-SVS sound velocity probe installed near the transducer (for beam steering). For all surveys, the snippet data was logged (as backscatter information) with the same Absorption and Spread acquisition parameters. Also the data processing was the same, e.g. the snippet data was processed using FMGeocoder Toolbox (FMGT) in Fledermaus 7.6 version (QPS, 2016) to produce mosaic images with the same amplitude range, from -60 dB (lighter tones, corresponding to low backscatter) to -25 dB (dark grey tones, corresponding to high backscatter). Furthermore, ground-truth information, in the form of video-investigation (for all islands) and grab samples (only for Linosa and Lampione), were collected during the surveys. These characteristics made it possible to analyse all islands with RSOBIA (Remote Sensing Object Based Image Analysis) with the integrated information derived from backscatter data and bathy-morphological features, validated by ground-truth data (Innangi et al., 2018; Innangi et al., 2019) to produce three seabed maps, including seagrass distribution and benthoscape classification (according to Lacharité et al., 2017), and comparable to each other. Finally, it must be emphasized that the maps provided the first indication of the occurrence of rhodolith and maërl habitats at Lampione and Linosa, which are among the most important ecosystems in the Mediterranean Sea, while for Lampedusa further ground-truth data are necessary to better characterize the acoustic facies pattern of the island (Innangi et al., 2018; Innangi et al., 2019)

    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao CNR ExploRAarrow_drop_down
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    CNR ExploRA
    Conference object . 2019
    Data sources: CNR ExploRA
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      CNR ExploRA
      Conference object . 2019
      Data sources: CNR ExploRA
  • Authors: Li, J.; Siwabessy, J.;

    This dataset contains hardness prediction data from seabed mapping surveys on the Van Diemen Rise in the eastern Joseph Bonaparte Gulf of the Timor Sea. The survey was conducted under a Memorandum of Understanding between Geoscience Australia (GA) and the Australian Institute of Marine Science (AIMS) in two consecutive years 2009 (GA survey number GA-0322 and AIMS survey number SOL4934) and 2010 (GA survey number GA-0325 and AIMS survey number SOL5117). The surveys obtained detailed geological (sedimentological, geochemical, geophysical) and biological data (macro-benthic and infaunal diversity, community structure) for the banks, channels and plains to investigate relationships between the physical environment and associated biota for biodiversity prediction. The surveys also provide Arafura-Timor Sea, and wider northern Australian marine region context for the benthic biodiversity of the Van Diemen Rise. Four study areas were investigated across the outer to inner shelf. Refer to the GA record 'Methodologies for seabed substrate characterisation using multibeam bathymetry, backscatter, and video data: A case study for the Eastern Joseph Bonaparte Gulf, Northern Australia' for further information on processing techniques applied (GeoCat: 74092; GA Record: 2013/11).

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    Authors: Massimo Di Stefano;

    Files used to test the groundtruther QGIS plugin [https://github.com/epifanio/groundtruther] - It includes a bathymetric surface [geotif], a set of seafloor images [jpg] and relative metadata [parquet] and image

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    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: Datacite
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    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: ZENODO
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      ZENODO
      Dataset . 2023
      License: CC BY
      Data sources: Datacite
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      ZENODO
      Dataset . 2023
      License: CC BY
      Data sources: ZENODO
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Patrick Lajeunesse; Gabriel Joyal; Jean-Guy Nistad;

    Acoustic data was generated from the multibeam Kongsberg Simrad EM300 and EM302 multibeam sonar system on the CCGS Amundsen. This bathymetric data subset covers the Greenlandic Economic Exclusive Zone (EEZ), i.e. outside of the 12 nm territorial sea extent and within the 200 nm EZZ, from 2003 to 2014. The datasets consist of high-resolution bathymetry and acoustic backscatter imagery collected 24 hours a day, whenever the ship was in transit or had dedicated survey time. Standard collection settings used dual-ping, FM pulse, auto depth mode, angular coverage of +/- 60 degrees and high density equidistant beamforming. The SIS software was used to collect the data, while near real-time cleaning of data outliers was done using the Caris HIPS&SIPS software after conversion to Generic Sensor Format (GSF) for input into MB-System database manager. Inertial Measurement Unit (IMU) data was parsed by SIS from a POSMv 320 v.4. RTG GPS data from the CNav 3050 GPS was used to correct and improve the position output from the POSMv with RTCM correction. Soundspeed information was either from CTD Rosette casts, MVP300 data or simulated from the World Ocean Atlas 2009 database. The resolution of data is 10 metres. Available tiles are in ESRI grid format (.asc). The OMG of University of New Brunswick were responsible for 2003-2013 data (http://www.omg.unb.ca/Projects). From 2014, responsibility switched to the Marine Geomorphology Laboratory of Laval University.

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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Federated Research D...arrow_drop_down
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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    Authors: Lozano-Ordóñez, P. (Pablo); Fernández-Salas, L.M. (Luis Miguel); Rueda, J.L. (José Luis); López-González, N. (Nieves); +5 Authors

    Advances in remotely-sensed techniques have revolutionized mapping methods and our understanding of the seabed environment. In particular, multibeam backscatter data nowadays allows developing quantitative studies on the composition of the seafloor, which represents an important baseline for habitat mapping. Usually, the acoustic response is considered as a direct proxy of sediment texture, but seepage could affect significantly this relationship. A multibeam data set from the Gulf of Cádiz, was grouped using an ISO-cluster analysis and results were compared with 80 ground-truthing stations taken inside and outside cold seepage areas. Results show significant differences between the acoustic response of sediments with the same texture depending on the presence/absence of fluid emissions. Understanding this relationship is necessary to make image-based backscatter classification that allows the production of sediment and habitat maps in areas with extensive fluid emissions such as the Gulf of Cádiz.

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    Repositorio Institucional Digital del IEO
    Part of book or chapter of book . 2015
    License: CC BY NC ND
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    Recolector de Ciencia Abierta, RECOLECTA
    Part of book or chapter of book . 2015
    License: CC BY NC ND
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      Repositorio Institucional Digital del IEO
      Part of book or chapter of book . 2015
      License: CC BY NC ND
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      Recolector de Ciencia Abierta, RECOLECTA
      Part of book or chapter of book . 2015
      License: CC BY NC ND
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    Authors: Karolina Trzcinska; Jaroslaw Tegowski; Pawel Pocwiardowski; Lukasz Janowski; +5 Authors

    Acoustic seafloor measurements with multibeam echosounders (MBESs) are currently often used for submarine habitat mapping, but the MBESs are usually not acoustically calibrated for backscattering strength (BBS) and cannot be used to infer absolute seafloor angular dependence. We present a study outlining the calibration and showing absolute backscattering strength values measured at a frequency of 150 kHz at around 10–20 m water depth. After recording bathymetry, the co-registered backscattering strength was corrected for true incidence and footprint reverberation area on a rough and tilted seafloor. Finally, absolute backscattering strength angular response curves (ARCs) for several seafloor types were constructed after applying sonar backscattering strength calibration and specific water column absorption for 150 kHz correction. Thus, we inferred specific 150 kHz angular backscattering responses that can discriminate among very fine sand, sandy gravel, and gravelly sand, as well as between bare boulders and boulders partially overgrown by red algae, which was validated by video ground-truthing. In addition, we provide backscatter mosaics using our algorithm (BBS-Coder) to correct the angle varying gain (AVG). The results of the work are compared and discussed with the published results of BBS measurements in the 100–400 kHz frequency range. The presented results are valuable in extending the very sparse angular response curves gathered so far and could contribute to a better understanding of the dependence of backscattering on the type of bottom habitat and improve their acoustic classification. multibeam echosounder, bottom backscattering strength angular response, backscatter correction 1-22 100 23

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    Remote Sensing
    Other literature type . Article . 2021 . Peer-reviewed
    License: CC BY
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    DOAJ
    Article . 2021
    Data sources: DOAJ
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    Remote Sensing
    Article . 2021
    Data sources: DOAJ-Articles
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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      This Research product is the result of merged Research products in OpenAIRE.

      You have already added works in your ORCID record related to the merged Research product.