Ocean and Polar Research

Korea Institute of Ocean Science & Technology (한국해양과학기술원)
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Coral Reef Habitat Monitoring Using High-spatial Satellite Imagery : A Case Study from Chuuk Lagoon in FSM

고해상도 위성영상을 이용한 산호초 서식환경 모니터링 : 축라군 웨노섬을 중심으로

  • 민지은 (한국해양연구원 해양위성센터) ;
  • 유주형 (한국해양연구원 해양위성센터) ;
  • 최종국 (한국해양연구원 해양위성센터) ;
  • 박흥식 (한국해양연구원 해양과학국제협력센터)
  • Published : 2010.03.30
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Abstract

The distribution of coral reefs can be an indicator of environmental or anthropogenic impacts. Here, we present a habitat map of coral reefs developed using high-spatial satellite images. The study area was located on the north-eastern part of Weno island, in the Chuuk lagoon of Federated States of Micronesia. Two fieldwork expeditions were carried out between 2007 and 2008 to acquire optical and environmental data from 121 stations. We used an IKONOS image obtained in December 2000, and a Kompsat-2 image obtained in September 2008 for the purpose of coral reef mapping. We employed an adapted version of the object-based classification method for efficient classification of the high-spatial satellite images. The habitat map generated using Kompsat-2 was 72.22% accurate in terms of comparative analysis with in-situ measurements. The result of change detection analysis between 2000 and 2008 showed that coral reef distribution had decreased by 6.27% while seagrass meadows had increased by 8.0%.

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References

  1. 권문상, 노재훈, 이미진 (2005) 남태평양 해양의 잠재력과 우리나라의 새로운 연구개발 투자 분야에 대한 고찰. Ocean and Polar Res 27(4):419-431 https://doi.org/10.4217/OPR.2005.27.4.419
  2. 현상민, 박흥식, 김수현 (2003) 산호 골격 중의 지화학 원소: 지구 기후변화 및 해양오염의 지시자 가능성. 대한지질학회지 44(1):119-131
  3. Andrefouet S, Karamer P, Torres-Pulliza D, Joyce KE, Hochberg EJ, Garza-Pérez R, Mumby PJ, Riegl B, Yamano H, White WH, Zubia M, Brock JC, Phinn SR, Naseer A, Hatcher BG, Muller-Karger FE (2003) Multisite evaluation of IKONOS data for classification of tropical coral reef environments. Remote Sens Environ 88(2):128-143 https://doi.org/10.1016/j.rse.2003.04.005
  4. Blaschke T, Strobl J (2001) What's wrong with pixels? Some recent development interfacing remote sensing and GIS. GeoBIT/GIS 6(1):12-17
  5. Desclee B, Bogaert P, Defourny P (2006) Forest change detection by statistical object-based method. Remote Sens Environ 102(1):1-11 https://doi.org/10.1016/j.rse.2006.01.013
  6. Hochberg EJ, Atkinson MJ, Apprill A, Andrefouet S (2004) Spectral reflectance of coral. Coral Reefs 23(1):84-95 https://doi.org/10.1007/s00338-003-0350-1
  7. Jensen JR (2005) Introductory digital image processing: a remote sensing perspective. Prentice-Hall Inc, New Jersey, pp 250-251
  8. Joyce KE, Phinn SR, Roelfsema CM, Neil DT, Dennison WC (2004) Combining Landsat ETM+ and reef check classifications for mapping coral reefs: a critical assessment from the southern Great Barrier Reef, Australia. Coral Reefs 23(1):21-25 https://doi.org/10.1007/s00338-003-0357-7
  9. Kutser T, Jupp DLB (2006) On the possibility of mapping living corals to the species level based on their optical signatures. Estuar Coast Shelf Sci 69(4):607-614 https://doi.org/10.1016/j.ecss.2006.05.026
  10. Kutser T, Miller I, Jupp DLB (2006) Mapping coral reef benthic substrates using hyperspectral space-borne images and spectral libraries. Estuar Coast Shelf Sci 70(3):449-460 https://doi.org/10.1016/j.ecss.2006.06.026
  11. Mumby PJ, Green EP, Clark CD, Edwards AJ (1998) Digital analysis of multispectral airborne imagery of coral reefs. Coral Reefs 17(1):59-69 https://doi.org/10.1007/s003380050096
  12. Mumby PJ, Hedley JD, Chisholm JRM, Clark CD, Ripley H, Jaubert J (2004a) The cover of living and dead corals from airborne remote sensing. Coral Reefs 23(2):171-183
  13. Mumby PJ, Skirving W, Strong AE, Hardy JT, LeDrew EF, Hochberg EJ, Stumpf RP, David LT (2004b) Remote sensing of coral reefs and their physical environment. Mar Pollut Bull 48(3):219-228 https://doi.org/10.1016/j.marpolbul.2003.10.031
  14. Paik SG, Park HS, Kang RS, Rho HS, Lee JH (2007) Composition and configuration of tropical seagrass habitats in Chuuk Lagoon, FSM. In: Abstracts of the 2nd South Pacific Islands Regional Investigation on Tropical Marine System (SPIRITS) Workshop, Korea Ocean Research & Development Institute, Seoul, 15th Nov 2007
  15. Purkis SJ (2005) A “Reep-Up” approach to classifying coral habitats from IKONOS imagery. IEEE Trans Geosci Remote Sensing 43(6):1375-1390 https://doi.org/10.1109/TGRS.2005.845646
  16. Purkis SJ, Myint SW, Riegl BM (2006) Enhanced detection of the coral Acropora cervicornis from satela ce imagery using a textural operator. Remote Sens Environ 101(1): 82-94 https://doi.org/10.1016/j.rse.2005.11.009
  17. Riegl BM, Purkis SJ (2005) Detection of shallow subtidal corals from IKONOS satellite and QTC View (50,200 kHz) single-beam sonar data (Arabian Gulf; Dubai, UAE). Remote Sens Environ 95(1):96-114 https://doi.org/10.1016/j.rse.2004.11.016
  18. Sterckx S, Debruyn W, Vanderstraete T, Goossens R, Heijden P (2005) Hyperspectral data for coral reef monitoring. A case study: fordate, tanimbar, Indonesia. EARSel eProceedings 4(1):18-25
  19. Walker JS, Blaschke T (2008) Object-based land-over classification for the Phoenix metropolitan area: optimization vs. transportability. Int J Remote Sens 29(7):2021-2040 https://doi.org/10.1080/01431160701408337

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  2. Application of Hydroacoustic System and Kompsat-2 Image to Estimate Distribution of Seagrass Beds vol.17, pp.3, 2012, https://doi.org/10.7850/jkso.2012.17.3.181
  3. Design and Performance Analysis of an Off-Axis Three-Mirror Telescope for Remote Sensing of Coastal Water vol.26, pp.3, 2015, https://doi.org/10.3807/KJOP.2015.26.3.155