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Marine Geophysical Research

, Volume 39, Issue 1–2, pp 55–73 | Cite as

Backscatter calibration of high-frequency multibeam echosounder using a reference single-beam system, on natural seafloor

  • Dimitrios Eleftherakis
  • Laurent Berger
  • Naig Le Bouffant
  • Anne Pacault
  • Jean-Marie Augustin
  • Xavier Lurton
Original Research Paper

Abstract

The calibration of multibeam echosounders for backscatter measurements can be conducted efficiently and accurately using data from surveys over a reference natural area, implying appropriate measurements of the local absolute values of backscatter. Such a shallow area (20-m mean depth) has been defined and qualified in the Bay of Brest (France), and chosen as a reference area for multibeam systems operating at 200 and 300 kHz. The absolute reflectivity over the area was measured using a calibrated single-beam fishery echosounder (Simrad EK60) tilted at incidence angles varying between 0° and 60° with a step of 3°. This reference backscatter level is then compared to the average backscatter values obtained by a multibeam echosounder (here a Kongsberg EM 2040-D) at a close frequency and measured as a function of angle; the difference gives the angular bias applicable to the multibeam system for recorded level calibration. The method is validated by checking the single- and multibeam data obtained on other areas with sediment types different from the reference area.

Keywords

Calibration Seafloor backscatter Multibeam echosounder Single-beam echosounder 

Notes

Acknowledgements

The post-doc position of Dimitrios Eleftherakis at Ifremer was funded by SHOM (Service Hydrographique et Océanographique de la Marine, France) under contract 14CR02. The study was conducted in the framework of the Ifremer R&D project R403-006 “Underwater Acoustics”. We especially thank SHOM for co-funding the various recent and on-going projects aimed at identifying reference areas close to Brest harbour and defining a methodology for MBES absolute calibration; more specifically we would like to thank Christophe Vrignaud and Sophie Loyer for their constant support and useful discussions along the project. We gratefully acknowledge our Ifremer/Dyneco colleagues Xavier Caisey and Jean-Dominique Gaffet for their help in collecting videos and grab samples, and the captain and crew of RV Thalia for their invaluable role in the success of the numerous survey cruises.

References

  1. Amiri-Simkooei AR, Snellen M, Simons DG (2009) Riverbed sediment classification using multi-beam echo-sounder. J Acoust Soc Am 126(4):1724–1738.  https://doi.org/10.1121/1.3205397 CrossRefGoogle Scholar
  2. APL-UW (1994) APL-UW high-frequency ocean environmental acoustic models handbook. Technical report APL-UW TR9407AEAS9501, Applied Physics Laboratory, University of Washington, pp IV1–IV50Google Scholar
  3. Augustin JM (2016) SonarScope® software on-line presentation. http://flotte.ifremer.fr/fleet/Presentation-of-the-fleet/On-board-software/SonarScope
  4. Bodholt H (2002) The effect of water temperature and salinity on echosounder measurements. ICES Symposium on Acoustics in Fisheries. Montpellier, France, Presentation #123Google Scholar
  5. Brown CJ, Smith SJ, Lawton P, Anderson JT (2011) Benthic habitat mapping: a review of progress towards improved understanding of the spatial ecology of the seafloor using acoustic techniques. Estuar Coast Shelf Sci 92:502–520CrossRefGoogle Scholar
  6. Buscombe D, Grams PE, Kaplinski MA (2014), Characterizing riverbed sediment using high-frequency acoustics 1: spectral properties of scattering. J Geophys Res.  https://doi.org/10.1002/2014JF003189 Google Scholar
  7. Canepa G, Pouliquen E (2005) Inversion of geo-acoustic properties from high frequency multibeam data. In: Pace NG, Blondel P (eds) Boundary influences in high frequency, shallow water acoustics. University of Bath Press, Bath, UK, pp 233–240Google Scholar
  8. Cochrane NA, Li Y, Melvin GD (2003) Quantification of a multibeam sonar for fisheries assessment applications. J Acoust Soc Am 114:745–758CrossRefGoogle Scholar
  9. De Moustier C (1986) Beyond bathymetry: mapping acoustic backscattering from the deep seafloor with Sea Beam. J Acoust Soc Am 79(2):316–331CrossRefGoogle Scholar
  10. Demer DA, Berger L, Bernasconi M, Bethke E, Boswell K, Chu D, Domokos R et al (2015) Calibration of acoustic instruments. ICES Cooperative Research Report No. 326, p 130Google Scholar
  11. Demer DA, Andersen LN, Bassett C, Berger L, Chu D, Condiotty J, Cutter G Jr, Hutton B, Korneliussen RJ, Le Bouffant N, Macaulay GJ, Michaels WL, Murfin D, Pobitzer A, Renfree JS, Sessions TS, Stierhoff KL, Thompson C (2017) USA Norway EK80 workshop report: evaluation of a wideband echosounder for fisheries and marine ecosystem science. ICES Cooperative Research Report 336. ICES publishing.  https://doi.org/10.17895/ices.pub.2318
  12. Diesing M, Mitchell P, Stephens D (2016) Image-based seabed classification: what can we learn from terrestrial remote sensing? ICES J Mar Sci 73:2425–2441CrossRefGoogle Scholar
  13. Eleftherakis D, Amiri-Simkooei A, Snellen M, Simons DG (2012) Improving riverbed sediment classification using backscatter and depth residual features of multi-beam echo-sounder systems. J Acoust Soc Am 131(5):3710–3725CrossRefGoogle Scholar
  14. Eleftherakis D, Snellen M, Amiri-Simkooei A, Simons DG, Siemes K (2014) Observations regarding coarse sediment classification based on multi-beam echo-sounder’s backscatter strength and depth residuals in Dutch rivers. J Acoust Soc Am 135(6):3305–3315CrossRefGoogle Scholar
  15. Fonseca L, Mayer L (2007) Remote estimation of surficial seafloor properties through the application angular range analysis to multibeam sonar data. Mar Geophys Res 28:119–126CrossRefGoogle Scholar
  16. Foote KG, Chu D, Hammar TR, Baldwin KC, Mayer LA, Hufnagle LC, Jr, Jech JM (2005) Protocols for calibrating multibeam sonar. J Acoust Soc Am 117:2013–2027CrossRefGoogle Scholar
  17. Francois RE, Garrison GR (1982) Sound absorption based on ocean measurements. Part II: Boric acid contribution and equation for total absorption. J Acoust Soc Am 72(6):1879–1890CrossRefGoogle Scholar
  18. Gaunaurd GC, Überall H (1983) RST analysis of monostatic and bistatic acoustic echoes from an elastic sphere. J Acoust Soc America 73:1–12CrossRefGoogle Scholar
  19. Gutierrez FJ, Manley-Cooke P, Tamset D (2016) Calibrated acoustic backscatter from a phase-measuring bathymetric sonar. Geohab, Winchester, UKGoogle Scholar
  20. Hellequin L, Boucher JM, Lurton X (2003) Processing of high-frequency multibeam echo sounder data for seafloor characterization. IEEE J Oceanic Eng 28(1):78–89CrossRefGoogle Scholar
  21. Hughes Clarke JE (1994) Toward remote seafloor classification using the angular response of acoustic backscattering: a case study from multiple overlapping GLORIA data. IEEE J Ocean Eng 19(1):112–126CrossRefGoogle Scholar
  22. International Hydrographic Bureau Monaco (2008) IHO standards for hydrographic surveys, 5th edn. Special Publication No. 44Google Scholar
  23. Kongsberg (2011) Kongsberg EM 2040 multibeam echo sounder—instruction manual. Kongsberg Maritime AS. Document 346210/BGoogle Scholar
  24. Ladroit Y, Lamarche G, Pallentin A (2017) Seafloor multibeam backscatter calibration experiment—comparing 45 degrees-tilted 38 kHz split-beam echosounder and 30 kHz multibeam data. In Lamarche G, Lurton X (eds) Marine geophysical research, seafloor backscatter data from swath mapping echosounders: from technological development to novel applications.  https://doi.org/10.1007/s11001-017-9340-5
  25. Lamarche G, Lurton X, Augustin J-M, Verdier A-L (2011) Quantitative characterization of seafloor substrate and bedforms using advanced processing of multibeam backscatter—application to the Cook Strait, New Zealand. Cont Shelf Res 31:93–109CrossRefGoogle Scholar
  26. Lanzoni C, Weber TC (2010) High-resolution calibration of a multibeam echo sounder. IEEE Oceans’ 2010Google Scholar
  27. Lanzoni C, Weber TC (2012) Calibration of multibeam echosounders: a comparison between two methodologies. 11th European Conference on Underwater Acoustics, Edinburgh, Scotland, July 2–6Google Scholar
  28. Lurton X (2010) An introduction to underwater acoustics: principles and applications, 2nd edn. Springer, BerlinCrossRefGoogle Scholar
  29. Lurton X, Lamarche G (eds) (2015) Backscatter measurements by seafloor mapping sonars. Guidelines and recommendations. Geohab report. http://geohab.org/publications/
  30. Lurton X, Le Bouffant N, Mopin I (2013) Intensity calibration of multibeam echosounders. Kongsberg Users Forum Femme’2013, BostonGoogle Scholar
  31. Lurton X, Eleftherakis D, Augustin JM (2017) Analysis of seafloor backscatter strength dependence on the azimuthal angle using multibeam echosounder data. In: Lamarche G, Lurton X (eds) Marine geophysical research, seafloor backscatter data from swath mapping echosounders: from technological development to novel applications.  https://doi.org/10.1007/s11001-017-9318-3
  32. Malik M, Lurton X, Mayer L (2018) A Framework to quantify uncertainties of seafloor backscatter from swath mapping echosounders. In: Lamarche G, Lurton X (eds) Marine geophysical research, seafloor backscatter data from swath mapping echosounders: from technological development to novel applicationsGoogle Scholar
  33. Ona E, Mazauric V, Andersen LN (2009) Calibration methods for two scientific multibeam systems. ICES J Mar Sci 66:1326–1334CrossRefGoogle Scholar
  34. Perrot Y, Brehmer P, Roudaut G, Gerstoft P, Josse E (2014) Efficient multibeam sonar calibration and performance evaluation. Int J Eng Sci Innov Technol 3:808–820Google Scholar
  35. Preston J (2009) Automated acoustic seabed classification of multibeam images of Stanton Banks. Appl Acoust 70:1277–1287CrossRefGoogle Scholar
  36. Roche M, Degrendele K, Vrignaud C, Loyer S, Le Bas T, Augustin JM, Lurton X (2018) Control of the repeatability of high frequency multibeam echosounder backscatter by using reference areas. In: Lamarche G, Lurton X (eds) Marine geophysical research, seafloor backscatter data from swath mapping echosounders: from technological development to novel applications.  https://doi.org/10.1007/s11001-018-9343-x
  37. Simmonds JE, MacLennan DN (2005) Fisheries acoustics: theory and practice. Wiley, Oxford, p 456CrossRefGoogle Scholar
  38. Simons DG, Snellen M (2009) A Bayesian approach to seafloor classification using multi-beam echo-sounder backscatter data. Appl Acoust 70:1258–1268CrossRefGoogle Scholar
  39. Snellen M, Eleftherakis D, Amiri-Simkooei A, Koomans R, Simons DG (2013) An inter-comparison of sediment classification methods based on multi-beam echo-sounder backscatter data and sediment natural radio-activity. J Acoust Soc Am 134(2):959–970CrossRefGoogle Scholar
  40. Weber TC, Ward LG (2015) Observations of backscatter from sand and gravel seafloors between 170 and 250 kHz. J Acoust Soc Am 138(4):2169–2180CrossRefGoogle Scholar
  41. Weber T, Rice G, Smith M (2017) Toward a standard line for use in mutlibeam echo sounder calibration. In: Lamarche G, Lurton X (eds) Seafloor backscatter data from swath mapping echosounders: From technological development to novel applications. Marine Geophysical Research, vol 1–13.  https://doi.org/10.1007/s11001-017-9334-3
  42. Wendelboe G, Barchard S, Maillard E, Bjørnø L (2010) Towards a fully calibrated multibeam echosounder. J Acoust Soc Am 128:2383CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  1. 1.Underwater Acoustics Laboratory, DFO/NSE/ASTI, Institut Français de Recherche pour l’Exploitation de la Mer (Ifremer), CS 10070PlouzanéFrance

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