Quantitative estimation of intertidal sediment characteristics using remote sensing and GIS |
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| Authors: | Jong-Kuk Choi Joo-Hyung Ryu Yoon-Kyung Lee Hong-Rhyong Yoo Han Jun Woo Chang Hwan Kim |
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| Institution: | 1. Korea Ocean Satellite Centre, Korea Ocean Research & Development Institute, 454 Haean-no, Sangrok-gu, Ansan, Gyeonggi 426-744, Republic of Korea;2. Department of Earth System Sciences, Yonsei University, 134 Shinchon-dong, Seodaemun-gu, Seoul 120-749, Republic of Korea;3. Ocean Satellite Remote Sensing & Observation Technology Research Department, Korea Ocean Research & Development Institute, 454 Haean-no, Sangrok-gu, Ansan, Gyeonggi 426-744, Republic of Korea;4. Dokdo Research Centre, East Sea Research Institute, Korea Ocean Research & Development Institute, Uljin 767-813, Republic of Korea |
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| Abstract: | High spatial resolution satellite data (IKONOS) combined with in situ data was used to quantitatively estimate the spatial distribution of tidal flat characteristics for the Hwangdo tidal flat, Cheonsu Bay, Korea. The classification result was accurate in terms of a comparison with the in situ data, and the overall accuracy was 90.7%, which confirmed the validity of the classification. GIS analysis based on a probabilistic model was applied to a quantitative estimation of the relationship between each surface sediment facies and the spectral reflectance. Mud flat facies showed a high positive correlation (R2 = 0.91), and sand flat facies showed a high negative correlation (R2 = 1.00), which was a good reflection of the sedimentary characteristics of Hwangdo tidal flat. Relationships between each sediment facies and DEM also showed good agreement with the topographic characteristics in the study area. The study revealed that intertidal surface sediment classification using high resolution remote sensing imagery and in situ data successfully shows spectral and topographic characteristics of the study area. It was noted that spectral reflectance was affected by a combination of environmental factors, including grain size, topography, and remnant surface water. It is possible to determine the type of tidal flat through quantitative estimates of the spatial distribution of surface sediments according to their spectral reflectance. |
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| Keywords: | surface sedimentary facies IKONOS intertidal DEM GIS-based frequency ratio model Hwangdo tidal flat |
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