고해상도 위성자료를 이용한 갯벌조류로 프랙탈 분석

Title
고해상도 위성자료를 이용한 갯벌조류로 프랙탈 분석
Alternative Title
Fractal Analysis of Tidal Channels using High Resolution Satellite Images
Author(s)
엄진아; 이윤경; 유주형; 원중선
KIOST Author(s)
Ryu, Joo Hyung(유주형)
Publication Year
2007-10-31
Abstract
Tidal channel development is influenced by sediment type, grain size, composition and tidal current. Tidal channels are usually characterized by channel development, 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. 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 where is famous for high dynamics of tidal currents and vast tidal flats. This area has different widths and lengths of tidal channels. IKONOS and Komsat-2 MSC images were used for extracting tidal channels, and the Box counting method was applied to obtain fractal dimensions (D) for each tidal channel.Yeochari area possesses channels with linear pattern and less dense development and accordingly show low D values ranging from 1.037 to 1.038. On other hands, area (near Donggumdo and Yeongjongdo ) of dendrites channel pattern and dense development resulted in high D values from 1.2057 to 1.2667. Also, area possesses channels with linear pattern had low density about 18~24%. Area of dendritic channel pattern had high density about 34~69%. The difference of fractal dimensions about 0.2 according to channel development in tidal flats is relatively large enough to use as an index for tidal channel classification. Also, area where channels showed linear pattern had low density about 18~24%. Area of dendritic channel pattern had high density about 34~69%. Using fractal dimension and density, it would be possible to quantify the tidal channel development in association with surface characteristics.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/30268
Bibliographic Citation
2007 International Symposium of Remote Sensing, pp.1 - 4, 2007
Publisher
대한원격탐사학회
Type
Conference
Language
English
Publisher
대한원격탐사학회
Related Researcher
Research Interests

Coastal Remote Sensing,RS based Marine Surveillance System,GOCI Series Operation,연안 원격탐사,원격탐사기반 해양감시,천리안해양관측위성 운영

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