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http://dx.doi.org/10.7780/kjrs.2007.23.6.567

Fractal Analysis of Tidal Channel using High Resolution Satellite Image  

Eom, Jin-Ah (Department of Earth System Sciences, Yonsei University)
Lee, Yoon-Kyung (Department of Earth System Sciences, Yonsei University)
Ryu, Joo-Hyung (Ocean Satellite Research Group, Korea Ocean Research & Development Institute)
Won, Joong-Sun (Department of Earth System Sciences, Yonsei University)
Publication Information
Korean Journal of Remote Sensing / v.23, no.6, 2007 , pp. 567-573 More about this Journal
Abstract
Tidal channel development is influenced by sediment type, grain size, composition and tidal current. Tidal channels are usually characterized by channel formation, density and shape. Quantitative analysis of tidal channels using remotely sensed data have rarely been studied. The objective of this study is to quantify tidal channels in terms of fractal dimension and compare different inter-tidal channel patterns and compare with DEM (Digital Elevation Model). For the fractal analysis, we used box counting method which had been successfully applied to streams, coastlines and others linear features. For a study, the southern part of Ganghwado tidal flats was selected which know for high dynamics of tidal currents and vast tidal flats. This area has different widths and lengths of tidal channels. IKONOS was used for extracting tidal channels, and the box counting method was applied to obtain fractal dimensions (D) for each tidal channel. Yeochari area where channels showed less dense development and low DEM had low fractal dimenwion near $1.00{\sim}1.20$. Area (near Donggumdo and Yeongjongdo) of dendritic channel pattern and high DEM resulted in high fractal dimension near $1.20{\sim}1.35$. The difference of fractal dimensions according to channel development in tidal flats is relatively large enough to use as an index for tidal channel classification. Therefore we could conclude that fractal dimension, channel development and DEM in tidal channel has high correlation. Using fractal dimension, channel development and DEM, it would be possible to quantify the tidal channel development in association with surface characteristics.
Keywords
Fractal; Box counting Method; Ganghwa-do; Tidal channel;
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Times Cited By KSCI : 1  (Citation Analysis)
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