A study on calibration for commercial split beam echosounder using the bottom backscattering strength from a fishing vessel near the South Shetland Islands, Antarctica

남극 남쉐틀랜드 군도 주변 해저면 음향신호를 이용한 상업용 어군탐지기 보정 연구

  • CHOI, Seok-Gwan (Distant Water Fisheries Resources Research Division, National Institute of Fisheries Science) ;
  • LEE, Hyungbeen (Fisheries Resources and Environment Research Division West Sea Fisheries Research Institute) ;
  • LEE, Kyounghoon (School of Marine Technology, Chonnam National University) ;
  • LEE, Jaebong (Distant Water Fisheries Resources Research Division, National Institute of Fisheries Science)
  • 최석관 (국립수산과학원 원양자원과) ;
  • 이형빈 (서해수산연구소 자원관리과) ;
  • 이경훈 (전남대학교 해양기술학부) ;
  • 이재봉 (국립수산과학원 원양자원과)
  • Received : 2016.10.13
  • Accepted : 2016.11.19
  • Published : 2016.11.30


Commercial split beam echosounder (ES70) installed on a krill fishing vessel was calibrated in order to utilize it in estimating biomass of Antarctic krill (Euphausia superba). The method of calibration was to analyze the difference between the bottom backscattering strength of the commercial split beam echosounder (i.e. ES70) and the scientific echosounder (i.e. EK60) at one of transects near South Shetland Islands designated by CCAMLR. 38 kHz and 120 kHz were used for the calibration, and krill swarm signal levels obtained from multi frequencies, was examined to verify the calibration result. The analysis result indicated possibility of calibration by bottom backscattering strength, since the proportion of krill swarm signals within 2 dB < $S_{V\;120\;kHz-38\;kHz}$ < 12 dB (i.e. a common $S_{V\;120\;kHz-38\;kHz}$ range of 38 kHz and 120 kHz to be an indicator of Antarctic krill) over the total acoustic signals were 26.95% and 92.04%, respectively before and after the calibration.


Fishing vessel;Commercial split beam echosounder (ES70);Scientific echosounder (EK60);Antarctic krill (Euphausia superba);Calibration


Supported by : 국립수산과학원


  1. Demer DA and Renfree JS. 2008. Variations in echosounder-transducer performance with water temperature. ICES J Mar Sci. 65, 1021-1035.
  2. De Robertis A, Hjellvik R, Williamson NJ and Wilson CD. 2008. Silent ships do not always encounter more fish: comparison of acoustic backscatter recorded by a noise-reduced and a conventional research vessel. ICES Journal of Marine Science 65(4), 623-635.
  3. Everson I, Kayanda R and Taabu-Munyaho A. 2013. Comparing echosounder efficiency using field observations. Lakes and Reservoirs: Research and Management. 18, 167-177.
  4. Foote KG, Knudsen HP, Vestnes G, MacLennan DN and Simmonds EJ. 1987. Calibration of acoustic instruments for fish density estimation: A practical guide. ICES Cooperative Research Report. 144, 1-69.
  5. Godo OR, Reiss C, Siegel V and Watkins JL. 2014. Commercial fishing vessels as research vessels in the Antarctic - requirements and solutions exemplified with a new vessel. CCAMLR Science 21.
  6. ICES. 2007. Collection of acoustic data from fishing vessels. Document 287.
  7. Kang MH, Seo YI, Oh TY, Lee KH and Jang CS. 2015. Estimating the biomass of anchovy species off the coast of Tongyeong and Yeosu in South Korea in the spring and winter of 2013 and 2014. J Korean Soc Fish Technol 51 (1), 86-93. (DOI: KSFT.2015.51.1.086)
  8. Krafft BA, Skaret G and Calise L. 2011. Preliminary results from the first survey season of Antarctic krill and apex predators with the commercial fishing vessel Saga Sea in the South Orkney Islands area 2011. Document WG-EMM-11/23. Hobart, Australia, CCAMLR.
  9. Krafft BA, Skaret G and Knutsen T. 2015. An Antarctic krill (Euphausia superba) hotspot: population characteristics, abundance and vertical structure explored from a krill fishing vessel. Polar Biology 38(10), 1687-1700. (DOI: 10.1007/s00300-015-1735-7)
  10. Brierley AS, Goss C, Watkins JL and Woodroffe P. 1998. Variation in echo-sounder calibration with temperature, and some possible implications for acoustic surveys of krill biomass. CCAMLR Science. 5, 273-281.
  11. Demer DA. 2004. An estimate of error for the CCAMLR 2000 survey estimate of krill biomass. Deep-Sea Research II. 51, 1237-1251.
  12. Lee HB, Choi SG, Lee KH, Lee JB, Lee JH and Choi JH. 2015. A study on noise removal technique for acoustic data from a fishing boat. J Korean Soc Fish Technol 51 (3), 155-158. (DOI:
  13. McGehee DE, O'Driscoll RL and Traykovski LM. 1998. Effects of orientation on acoustic scattering from Antarctic krill at 120 kHz. Deep Sea Research Part II: Topical Studies in Oceanography 45(7), 1273-1294.
  14. Niklitschek EJ and Skaret G. 2016. Distribution, density and relative abundance of Antarctic krill estimated by maximum likelihood geostatistics on acoustic data collected during commercial fishing operations. Fisheries Research, 178, 114-121. (DOI:
  15. SC-CAMLR. 2015. Report of the Meeting of the Subgroup on Acoustic Survey and Analysis Methods, in: Subgroup on Acoustic Survey and Analysis Methods (SG-ASAM-15), Annex 4, Busan, Repubic of Korea, 131-162.
  16. Watkins JL and Brierley AS. 2002. Verification of the acoustic techniques used to identify Antarctic krill. ICES Journal of Marine Science 59(6): 1326-1336.
  17. Watkins JL, Reid K, Ramm D, Zhao XY, Cox M, Skaret G., Fielding S, Wang XL and Niklitschek E. 2016. The use of fishing vessels to provide acoustic data on the distribution and abundance of Antarctic krill and other pelagic species. Fisheries Research, 178: 93-100.