한국환경복원기술학회지 (Journal of the Korean Society of Environmental Restoration Technology)

  • 제25권2호
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  • Pages.85-92
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  • 2022
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  • 1229-3032(pISSN)
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  • 2733-5011(eISSN)
한국환경복원기술학회 (The Korea Society of Environmental Restoration Technology)
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양서류 번식음 맵핑을 위한 무인비행장치 시스템의 정확성 검증

Accuracy verification for unmanned aerial vehicle system for mapping of amphibians mating call

  • 투고 : 2022.03.10
  • 심사 : 2022.04.18
  • 발행 : 2022.04.29
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초록

The amphibian breeding habitat is confirmed by mating call. In some cases, the researcher directly identifies the amphibian individual, but in order to designate the habitat, it is necessary to map the mating call region of the amphibian population. Until now, it has been a popular methodology for researchers to hear mating calls and outline their breeding habitats. To improve this subjective methodology, we developed a technique for mapping mating call regions using Unmanned Aerial Vehicle (UAV). The technology uses a UAV, fitted with a sound recorder to record ground mating calls as it flies over an amphibian habitat. The core technology is to synchronize the recorded sound pressure with the flight log of the UAV and predict the sound pressure in a two-dimensional plane with probability density. For a demonstration study of this technology, artificial mating call was generated by a potable speaker on the ground and recorded by a UAV. Then, the recorded sound data was processed with an algorithm developed by us to map mating calls. As a result of the study, the correlation coefficient between the artificial mating call on the ground and the mating call map measured by the UAV was R=0.77. This correlation coefficient proves that our UAV recording system is sufficiently capable of detecting amphibian mating call regions.

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참고문헌

  1. Allan BM.Arnould JP.Martin JK and Ritchie EG, 2013, A cost-effective and informative method of GPS tracking wildlife, Wildlife Research. CSIRO Publishing, 40(5) : 345-348. https://doi.org/10.1071/wr13069
  2. Bastille-Rousseau G.Wall J.Douglas-Hamilton I and Wittemyer G, 2018, Optimizing the positioning of wildlife crossing structures using GPS telemetry, Journal of Applied Ecology. Wiley Online Library, 55(4) : 2055-2063. https://doi.org/10.1111/1365-2664.13117
  3. Brunsdon C. 1995, Estimating probability surfaces for geographical point data: An adaptive kernel algorithm. Computers & Geosciences, 21(7) : 877-894. https://doi.org/10.1016/0098-3004(95)00020-9
  4. Blums P.Shaiffer CW and Fredrickson L H, 2000, Automatic multi-capture nest box trap for cavity-nesting ducks, Wildlife Society Bulletin. JSTOR, 592-596. https://doi.org/10.2193/0091-7648(2006)34[592:UOWWDB]2.0.CO;2
  5. Buxton VL.Ward MP and Sperry JH, 2015, Use of chorus sounds for location of breeding habitat in 2 species of anuran amphibians, Behavioral Ecology. Oxford University Press UK, 26(4) : 1111-1118. https://doi.org/10.1093/beheco/arv059
  6. Care A and Committee U, 1998, Guidelines for the capture, handling, and care of mammals as approved by the American Society of Mammalogists, Journal of Mammalogy. JSTOR,1416-1431.
  7. Chabot D and Bird DM, 2015, Wildlife research and management methods in the 21st century: Where do unmanned aircraft fit in?, Journal of Unmanned Vehicle Systems. NRC Research Press http://www.nrcresearchpress.com, 3(4) : 137-155. https://doi.org/10.1139/juvs-2015-0021
  8. Chen WS.Liu J and Li J, 2019, Classification of UAV and bird target in low-altitude airspace with surveillance radar data, The Aeronautical Journal. Cambridge University Press, 123(1260) : 191-211. https://doi.org/10.1017/aer.2018.158
  9. Diaz-Delgado R,.Manez M.Martinez A.Canal D.Ferrer M and Aragones D, 2017, 'Using UAVs to map aquatic bird colonies', in The Roles of Remote Sensing in Nature Conservation. Springer, pp. 277-291.
  10. Fu Y.Kinniry M and Kloepper LN, 2018, The Chirocopter: A UAV for recording sound and video of bats at altitude, Methods in Ecology and Evolution. Wiley Online Library, 9(6) : 1531-1535. https://doi.org/10.1111/2041-210x.12992
  11. Gasc A.Francomano D.Dunning JB and Pijanowski BC, 2017, Future directions for soundscape ecology: The importance of ornithological contributions, The Auk: Ornithological Advances. Oxford University Press, 134(1) : 215-228. https://doi.org/10.1642/AUK-16-124.1
  12. Gottwald J.Zeidler R.Friess N.Ludwig M.Reudenbach C and Nauss T, 2019, Introduction of an automatic and opensource radio-tracking system for small animals, Methods in Ecology and Evolution. Wiley Online Library, 10(12) : 2163-2172. https://doi.org/10.1111/2041-210X.13294
  13. Harris S, 1980, 'Home ranges and patterns of distribution of foxes (Vulpes vulpes) in an urban area, as revealed by radio tracking', in A handbook on biotelemetry and radio tracking. Elsevier, pp. 685-690.
  14. Jenni-Eiermann S.Strebel N.Sattler T.Tablado Z.Mulero-Pazmany M and Negro JJ, 2017, Unmanned aircraft systems as a new source of disturbance for wildlife: A systematic review., PLoS ONE, 12(6).
  15. Michez A.Broset S and Lejeune P, 2021, Ears in the Sky: Potential of Drones for the Bioacoustic Monitoring of Birds and Bats. Drones, 5(1): 9. https://doi.org/10.3390/drones5010009
  16. Mills JA and Ryder JP, 1979, Trap for capturing shore and seabirds, Bird-banding. JSTOR, 50(2) : 121-123. https://doi.org/10.2307/4512436
  17. R Core Team, 2021, R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.
  18. Salas NE.Zavattieri MV.Tada IE.Martino AL and Bridarolli ME, 1998, Bioacustical and etho-ecological features in amphibian communities of southern Cordoba province (Argentina), Cuadernos de Herpetologia, 12.
  19. Wilson AM.Barr J and Zagorski M, 2017, The feasibility of counting songbirds using unmanned aerial vehicles, The Auk: Ornithological Advances. Oxford University Press, 134(2) : 350-362. https://doi.org/10.1642/AUK-16-216.1