Browse > Article

Change Detection at the Nakdong Estuary Delta Using Satellite Image and GIS  

Oh, Che-Young (부경대학교 위성정보과학)
Park, So-Young (부경대학교 위성정보과학과)
Choi, Chul-Uong (부경대학교 위성정보과학과)
Jeon, Sung-Woo (한국환경정책 평가연구원)
Publication Information
Journal of Korean Society for Geospatial Information Science / v.18, no.1, 2010 , pp. 21-29 More about this Journal
Abstract
Nakdong Estuary Delta plays various roles of worldwide habitat for migratory birds and a sand supplier to Haewoondae Beach and Gwanganri, which are tourist attractions of Busan. In this study, long-term topographical changes of Nakdong Estuary (Jinwoo Islet, Sinja Islet, Doyodeung, Dadae Beach) coast were detected and interpreted. Through the analysis of 34 years' satellite images, it was found out that a part in between front side and back side of Jinwoo Islet increased, Sinja Islet was divided into two belts in 1970, and has formed an islet since the 1980s and extended westward. Due to the rapid development of small islets in front of Baekhabdeung since 1990s, Doyodeung formed in the late 1990s and is still growing. To make coastal map of Nakdong Estuary area, 13 images, of which the tide level was $99{\pm}13cm$, from the 112 Landsat images of the period from 1975 to 2009 were selected to section into water zone and land zone using NDV. And the rates of coastal line change such as MATLAB EPR(End Point Rate) and LRR(Linear Regression Rate) were calculated using DSAS 4.0(Digital Shoreline Analysis System). Through detecting topographical changes, EPR showed that the front(south) and back side(north) of Jinwoo Islet moved southward at -0.93~2.56m/yr, and changes in costal line and area of Jinwoo Islet were low and stable. The front and backside of Sinja Islet moved northward at 1~4m/yr, whereas the west side of Sinja Islet was stable at 2~3m/yr and east side of Sinja Islet moved northward at 10m/yr or faster. The front and back side of Doyodeung moved northward at 18~27m/yr, causing the increase of area, while the coastal line of Dadae Beach moved westward at 7m/yr, causing the expansion of the beach. LRR also demonstrated a similar trend to EPR. Although analysis of satellite images and GIS could enabled detection of topographical changes and quantitative analysis of natural phenomena, we found that continuous observation of natural phenomena and various analytical methods are required.
Keywords
Nakdong Estuary Delta; Landsat; Change Dection; DSAS;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
1 Singh, O.P., 2002, Inter annual variability and predictability of sea level along the Indian coast. Theor. Appl. Climatol. 72, pp.11-28.   DOI   ScienceOn
2 김상호, 신승호, 양승용, 이중우, 2003, "낙동강 하구 사주 발달에 관한 연구", 한국해양환경공학회지, 제6권 3호, pp.26-36   과학기술학회마을
3 김성환, 2005, "하구둑 건설 이후 낙동강 하구역 삼각주연안사주의 지형변화", 대한지리학회지, 제40권 4호,pp.416-424   과학기술학회마을
4 부산광역시, 2008, 낙동강하구 생태계모니터링(2007-2008).
5 양지연, 2006, "GIS/RS를 이용한 해운대 해수욕장의 해안지형 및 토지피복 변화 분석", 부경대 일반대학원 석사논문, p.55.
6 윤은찬, 이종섭, 2008, "STA 기법에 의한 낙동강 하구역의 토사이동경로 예측", 한국해안공학회 논문집, 해양공학회, 제20권 6호, pp.540-552.   과학기술학회마을
7 김백운, 김부근 이상룡, 2007, "낙동강 하구역 울타리섬의 해안선 변화율, 한국해양공학회", 해양공학회지,2007, 제 19권 4호, pp.361-374   과학기술학회마을
8 ingraca, 2004, "Deposition, Erosion, and Bathymetric Change in south san francisco bay:1858-1983", USGS, No.1192, pp.10-20.
9 Fenster, M.S., Dolan, R., Elder, J.F., 1993. "A new method for predicting shoreline positions from historical data". J. Coast. Res. Vol. 9, No.1, pp.147-171.
10 John Jensen, 2000, Remote Sensing of the environment, Prentice hall, pp.400-430.
11 Loos, E.A., Niemann, K.O., 2002. Shoreline feature extraction from remotely sensed imagery. Geoscience and remote sensing symposium, 2002. IGARSS '02. IEEE Int. 6 (24-28), pp.3417-3419.
12 Lillesand T.M. and Kiefer R.W., 1994, Remote Sensing and Image Interpretation, Third Edition, Wiley and Sons. p.506.
13 Pajak, M.J., Leatherman, S., 2002. "The high water line as shoreline indicator". J. Coast. Res. 18,pp.329-337.
14 Rousseeuw, P.J and Leroy, A.M, 1987, "Robust regression and outlier detection" John Wiley and Sons, New York, Vol. 6, No.4, pp.254-255.
15 Ryu, J.-H., Won, J.-S., Min, K.D., 2002. Waterline extraction from Landsat TM data in a tidal flat: a case study in Gosmo Bay, Korea. Remote Sens. Environ. 83, 442-456.   DOI   ScienceOn
16 Sabyasachi Maiti, Amit K. Bhattacharya, 2009, "Shoreline change analysis and its application to prediction: A remote sensing and statistics vased approach", Marine Geology 257, 2009, pp.11-23.   DOI   ScienceOn