DOI QR코드

DOI QR Code

Preliminary Study for Tidal Flat Detection in Yeongjong-do according to Tide Level using Landsat Images

Landsat 위성을 이용한 조위에 따른 영종도 갯벌의 면적 탐지에 관한 선행 연구

  • 이슬기 (강원대학교 과학교육학과) ;
  • 김규연 (강원대학교 과학교육학과) ;
  • 이창욱 (강원대학교 과학교육학과)
  • Received : 2016.10.21
  • Accepted : 2016.12.16
  • Published : 2016.12.31

Abstract

Yeongjong-do is seventh largest island in the west coast of Korea which is 4.8 km away in the direction of south-west from Incheon. The mudflat area around the Yeongjong-do has variable dimension according to tide level. In addition, Yeongjong-do is important area with high environmental value as wintering sites for migratory birds. The mudflat of Yeongjong-do is also meaningful region because it is used as place of education and tourist attraction. But, there are increasing concerns about preservation of mudflat area caused by artificial development such as land reclamation project and Incheon airport construction. In this paper, mudflat area was detected using Landsat 7 ETM+ images that United States Geological Survey (USGS) is providing the data in 16 days period. The false color composite was made from band 7, 5, and 3 that could dividing boundary between water and land for the purpose of appearance of boundary line in mudflat region. This area was calculated using results of classification based on false color composite images and was digitized through repetitive algorithm during research of period. Therefore, the change of northeastern area in Yeongjong-do was detected according to tide level during 16 years from 2000 to 2015 on the basis of providing period at tide station. This paper will expect as indicator for range of area in same tide level prior to the start of the research for preservation of mudflat. It will be also scientific grounds about change of mudflat area caused by artificial development.

국내에서 7번째로 큰 섬인 영종도는 인천으로부터 남서쪽으로 약 4.8 km 떨어져 있다. 영종도 주변에는 조수 차에 따라 드러나는 갯벌이 존재하며, 이곳은 지속적으로 감소하고 있는 겨울철새의 중요한 도래지라는 점에서 환경적 가치가 높은 곳이기도 하다. 그러나 최근 인천국제공항의 건설과 간척사업과 같은 인위적인 자연개발로 인해 갯벌 보존에 대한 우려가 증가하고 있다. 본 연구에서는 미국 지질조사소 (USGS)가 제공하고 있는 Landsat 7 ETM+영상을 기반으로 영종도 갯벌 지역을 분석하였다. 갯벌의 경계선을 뚜렷이 나타내기 위하여 물과 육지의 경계가 분명하게 구분하는 RGB 7, 5, 3 밴드조합으로 위성영상 가합성 (False color composite)을 수행하고 지표피복분류를 통해 갯벌을 탐지하여 면적을 계산하였으며, 갯벌 면적을 수치화하는 작업을 반복 수행하였다. 또한 조위관측소가 자료를 제공하는 기간인 2000년부터 2015년까지 총 16년간 자료를 기반으로, 조위의 변화에 따라 영종도 동북부 갯벌 지역의 면적을 수치화하여, 각 조위구간에 따라 나타나는 면적을 분석하였다. 본 논문은 차후 영종도 갯벌의 보존에 대한 연구가 진행되기에 앞서 동일한 조위 조건에서 면적의 범위에 대한 지표가 될 것이며, 인위적인 환경변화에 의한 영종도 지역의 갯벌 변화를 관측하는데 중요한 과학적 근거가 될 것으로 예상된다.

Keywords

References

  1. Beom, S.G., 2004. Shoreline and coastal landforms of Ganghwado in central west Korea, Journal of Incheon studies, 3, 349-393 (in Korean).
  2. Cho, M.J., S.R. Lee, and C.W. Lee, 2014. Analysis of optical satellite images and pyroclastic flow inundation model for monitoring of pyroclastic flow deposit area, Korean Journal of Remote Sensing, 30(2), 173-183 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2014.30.2.2
  3. Jee, J.B. and Y.J. Choi, 2014. Conjugation of Landsat data for analysis of the land surface properties in capital area, Journal of Korean Earth Science Society, 35(1), 54-68 (in Korean with English abstract). https://doi.org/10.5467/JKESS.2014.35.1.54
  4. Jo, M.H. and W.R. Jo, 1999. Micro-landform classification and topographic property of tidal flat in julpo-bay using satellite image, Korean Journal of Remote Sensing, 15, 3, 217-225 (in Korean with English abstract). https://doi.org/10.7780/kjrs.1999.15.3.217
  5. Korea Hydrographic and Oceanographic Agency, 2014. Trial data around youngjong-do, Korea Hydrographic and Oceanographic Administration, korea, http://sms.khoa.go.kr/koofs/kor/observation/obs_past_search_statistic.asp (02 February 2016)
  6. Lee, Y.K., J.H. Ryu, J.K. Choi, J.G. Soh, J.A. Eom, and J.S. Won, 2011. A study of decadal sedimentation trend changes by waterline comparisons within the Ganghwa tidal flats initiated by human activities, Journal of Coastal Research, 27(5), 857-869, doi: http://dx.doi.org/10.2112/JCOASTRES-D-10-00150.1.
  7. Lee, Y.J., D.Y. Yang, J.Y. Kim, and G.S. Chung, 2004. Application of Landsat ETM image to estimate the distribution of soil types and erosional pattern in the wildfire area of Gangneung, Gangweon province, Korea, Journal of Korean Earth Science Society, 25(8), 764-773 (in Korean with English abstract).
  8. Oh, J.K, J.D. Do, and Y.G. Jo, 2006. Sedimentary characteristics in the tidal flat of Janghwa-ri, Kangwha island, eastern yellow sea, Journal of Korean Earth Science Society, 27(3), 328-340 (in Korean with English abstract).
  9. Park, J.G., 2000. A change detection of western coastal reclaimed land using remotely sensed images, Master's thesis, Kangwon National University, korea, 57p (in Korean with English abstract).
  10. Ryu, J.Y., W.J. Jo, J.S. Won, I.T. Lee, and S.S. Jun, 2000. Intertidal DEM generation using waterline extracted from remotely sensed data, Korean Journal of Remote Sensing, 16(3), 221-233 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2000.16.3.221
  11. Ryu, J., J.S. Won, and K.D. Min, 2002. Waterline extraction from Landsat TM data in a tidal flat A case study in Gomso Bay, Korea, Remote Sensing of Environment, 83, 3, 442-456, doi:10.1016/S0034-4257(02)00059-7.
  12. Sedlak, P., 2002. Using Landsat TM data for mapping of the quaternary deposits in central Sweden, Geographica, 37, 77-81.
  13. Seo, J.J., 2004. An analysis on the change in topography in the west coast using Landsat image, Master's thesis, Chungnam National University, Korea, 56p (in Korean with English abstract).
  14. Song, M.Y., and K.S. Sin, 2000. Variation analysis of forest resourcs in Anmyundo using Landsat TM, Journal of Korean Earth Science Society, 21(2), 188-200 (in Korean with English abstract).
  15. Woo, H.J., J.U. Choi, S.M. An, S.J. Kwon, and B.J. Koo, 2006. Changes of sedimentary environments in the Saemangeum tidal flat on the west coast of Korea, Ocean and Polar Research, 28(4), 361-368 (in Korean with English abstract). https://doi.org/10.4217/OPR.2006.28.4.361
  16. Woo, H.J. and J.G. Je, 2002. Changes of sedimentary environments in the southern tidal flat of Kanghwa island, Ocean and Polar Research, 24(4), 331-343 (in Korean with English abstract). https://doi.org/10.4217/OPR.2002.24.4.331

Cited by

  1. Analysis of the Pyroclastic Flow Deposits of Mount Sinabung and Merapi Using Landsat Imagery and the Artificial Neural Networks Approach vol.7, pp.9, 2017, https://doi.org/10.3390/app7090935
  2. Landslide Susceptibility Mapping and Comparison Using Decision Tree Models: A Case Study of Jumunjin Area, Korea vol.10, pp.10, 2018, https://doi.org/10.3390/rs10101545
  3. Land cover classification analysis of volcanic island in Aleutian Arc using an artificial neural network (ANN) and a support vector machine (SVM) from Landsat imagery vol.22, pp.4, 2018, https://doi.org/10.1007/s12303-018-0023-2