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http://dx.doi.org/10.9719/EEG.2011.44.1.059

A Study on the Sedmentary Facies Change in the Tidal Flat Using High Spatial Resolution Remotely Sensed Data  

Choi, Jong-Kuk (Korea Ocean Satellite Centre, Korea Ocean Research & Development Institute)
Ryu, Joo-Hyung (Korea Ocean Satellite Centre, Korea Ocean Research & Development Institute)
Publication Information
Economic and Environmental Geology / v.44, no.1, 2011 , pp. 59-70 More about this Journal
Abstract
The surface sediment distribution in a tidal flat in 2001 was compared with that of 2008 using high spatial resolution remote sensing images and a GIS-based analysis. Maps of the surface sedimentary facies for each time frame were induced by an IKONOS data acquired in February, 2001 and a KOMPSAT-2 data acquired in April, 2008 using an object-based classification method. The area ratio of each surface sedimentary facies were estimated, and the results were compared each other for deducing the change in the sedimentary facies during the time interval. The result showed that the percentage of grains larger than very fine sand (0.0625 mm) has increased considerably since the early 2000s in the Hwangdo tidal flat. Mud flat facies has decreased 5.81 % in the late 2000s compared with the early 2000s. However, mixed flat and sand flat have increased 4.46% and 2.14%, respectively. A field campaign also supported the result. This study showed that the monitoring of changes in the surface sedimentary facies in the tidal flat is possible through a GIS-based analysis using high spatial resolution remote sensing images.
Keywords
Hwangdo tidal flat; surface sedimentary facies; high spatial resolution remote sensing; Geographic information system (GIS);
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Times Cited By KSCI : 2  (Citation Analysis)
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1 Walsh, S.J., McCleary, A.L., Mena, C.F., Shao, Y., Tuttle, J.P., Gonzalez, A. and Atkinson, R. (2008) QuickBird and Hyperion data analysis of an invasive plant species in the Galapagos Islands of Ecuador: Implications for control and land use management, Remote Sensing of Environment, v.112(5), p.1927-1941.   DOI   ScienceOn
2 Woo, H.J., Choi, J.U., Ryu, J.H., Choi, S.H. and Kim, S.R. (2005) Sedimentary Environments in the Hwangdo Tidal Flat, Cheonsu Bay (Korean ed.), Jour. Korean Wetland Society, v.7(2), p.53-67.
3 Yates, M.G., Jones, A.R., McGrorty, S. and Goss-Custard, J.D. (1993) The use of satellite imagery to determine the distribution of intertidal surface sediments of the Wash, England, Estuarine Coastal and Shelf Science, v.36(4), p.333-344.   DOI   ScienceOn
4 Rainey, M.P., Tyler, A.N., Gilvear, D.J., Bryant, R.G. and McDonald, P. (2003) Mapping intertidal estuarine sediment grain size distributions through airborne remote sensing, Remote Sensing of Environment, v.86, p.480-490.   DOI   ScienceOn
5 Ryu, J.H. (2001) Quantitative Estimation of Geomorphologic Change and Analysis of Sediment Characterization in Gomso Bay Tidal Flat by Remote Sensing (Korean ed.), Ph.D. dissertation of Yonsei University.
6 So, J.G., Jeong, G.T. and Chae, J.W. (1998) Numerical Modeling of Changes in Tides and Tidal Currents Caused by Embankment at Chonsu Bay (Korean ed.), Jour. Korean Society of Coastal and Ocean Engineers, v.10(4), p.151-164.
7 Ryu, J.H., Won, J.S. and Min, K.D. (2002) Waterline extraction from Landsat TM data in a tidal flat: a case study in Gomso Bay, Korea, Remote Sensing of Environment, v.83, p.442-456.   DOI   ScienceOn
8 Ryu, J.H., Choi, J.K., Na, Y.H. and Won, J.S. (2003) Characteristics of Landsat ETM+ image for Gomso Bay tidal flat sediments (Korean ed.), Korean Journal of Remote Sensing, v.19(2), p.117-133.   DOI
9 Ryu, J.H., Woo, H.J., Park, C.H. and Yoo, H.R. (2005) Classification of sedimentary facies using IKONOS image in Hwangdo tidal flat, Cheonsu Bay (Korean ed.), Jour. Korean Wetland Society, v.7(2), p.6-31.
10 Blaschke, T. and Strobl, J. (2001) What's wrong with pixels? Some recent development interfacing remote sensing and GIS, GeoBIT/GIS, v.6, p.12-17.
11 Folk, R.L. (1968) A review of grain size parameters, Sedimentology, v.6, p.73-93.
12 Choi, J.K., Ryu, J.H., Lee, Y.K., Yoo, H.R., Woo, H.J. and Kim, C.H. (2010) Quantitative estimation of intertidal sediment characteristics using remote sensing and GIS, Estuarine Coastal and Shelf Science, v.88(1), p.125-134.   DOI   ScienceOn
13 Conchedda, G., Durieux, L. and Mayaux, P. (2008) An object-based method for mapping and change analysis in mangrove ecosystems, ISPRS Journal of Photogrammetry & Remote Sensing, doi:10.1016/j.isprsjprs. 2008.04.002.
14 Desclee, B., Bogaert, P. and Defourny, P. (2006) Forest change detection by statistical object-based mthod, Remote Sensing of Environment, v.102, p.1-11.   DOI   ScienceOn
15 Kim, Y.S. (1989) The sedimentology of Holocene intertidal deposits in Cheonsu Bay, west coast of Korea (Korean ed.), Jour. Korean Earth Science Society, v.10(1), p.134-151.
16 Bartholdy, J. and Folving, S. (1986) Sediment classification and surface type mapping in the Danish Wadden sea by remote-sensing, Netherlands Journal of Sea Research, v.20(4), p.337-345.   DOI   ScienceOn