Detection of the Hebei Spirit oil spill on SAR imagery and its temporal evolution in a coastal region of the Yellow Sea

Kim, Taesung; Park, Kyung-Ae; Li, Xiaofeng; Lee, Moonjin; Hong, Sungwook; Lyu, Sang Jin; Nam, Soo-Yong

doi:10.1016/j.asr.2015.05.040

Cited by 29 publications

(13 citation statements)

References 48 publications

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“…This method objectively determines a threshold within each window with statistical parameters. Since it does not require any prior environmental knowledge, this method has been widely used for object detection in SAR images [28][29][30][31]. For the separation of the main underwater bathymetric signatures from irrelevant small surrounding features, all the detected features were clustered with neighboring pixels in the eight-direction.…”

Section: Methodsmentioning

confidence: 99%

Modulation of Tidal Channel Signatures on SAR Images Over Gyeonggi Bay in Relation to Environmental Factors

Kim¹,

Park

Lee³

2018

Remote Sensing

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In this study, variations of radar backscatter features of the tidal channel in Gyeonggi Bay in the Eastern Yellow Sea were investigated using spaceborne synthetic aperture radar (SAR) images. Consistent quasi-linear bright features appeared on the SAR images. Examining the detailed local bathymetry chart, we found that the features were co-located with the major axis of the tidal channel in the region. It was also shown that modulation of the radar backscatter features changed according to the environmental conditions at the time of imaging. For the statistical analysis, the bathymetric features over the tidal channel were extracted by an objective method. In terms of shape, the extracted features had higher variability in width than in length. The analysis of the variation in intensity with the coinciding bathymetric distribution confirmed that the quasi-linear bright features on the SAR images are fundamentally imprinted due to the surface current convergence and divergence caused by the bathymetry-induced tidal current variation. Furthermore, the contribution of environmental factors to the intensity modulation was quantitatively analyzed. A comparison of the variation in normalized radar cross section (NRCS) with tidal current showed a positive correlation only with the perpendicular component of tidal current (r= 0.47). This implies that the modulation in intensity of the tidal channel signatures is mainly affected by the interaction with cross-current flow. On the other hand, the modulation of the NRCS over the tidal channel tended to be degraded as wind speed increased (r= −0.65). Considering the environmental circumstances in the study area, it can be inferred that the imaging capability of SAR for the detection of tidal channel signatures mainly relies on wind speed.

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Section: Methodsmentioning

confidence: 99%

Modulation of Tidal Channel Signatures on SAR Images Over Gyeonggi Bay in Relation to Environmental Factors

Kim¹,

Park

Lee³

2018

Remote Sensing

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“…이로 인해 선박 간의 충돌 등 여러 종류 의 사건 사고가 빈번해지고 있다. 우리나라 서해안에 사상 초유의 유류오염인 2007년 12월 태안의 허베이 스프리트 사고와 2014년 여수 기름유출 사고는 대량 의 원유를 인근 해양으로 유출시켜 해양 환경에 막 대한 피해를 초래하였다 (Kim et al, 2010;Kim et al, 2015;Lee et al, 2016). 선박 침몰사고 발생 시 일차적으로 선박을 이용한 현장감시를 수행해 왔으나 이는 시•공간적 측면에서 한계가 있고 신속한 수색을 필요로 하는 사고 특성 상 비효율적이다.…”

Section: 주요어: 원격탐사 초분광 선박탐지 스펙트럼unclassified

The Ship Detection Using Airborne and In-situ Measurements Based on Hyperspectral Remote Sensing

Park¹,

Oh²,

Park³

et al. 2017

J. Korean Earth Sci. Soc.

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Maritime accidents around the Korean Peninsula are increasing, and the ship detection research using remote sensing data is consequently becoming increasingly important. This study presented a new ship detection algorithm using hyperspectral images that provide the spectral information of several hundred channels in the ship detection field, which depends on high resolution optical imagery. We applied a spectral matching algorithm between the reflection spectrum of the ship deck obtained from two field observations and the ship and seawater spectrum of the hyperspectral sensor of an airborne visible/infrared imaging spectrometer. A total of five detection algorithms were used, namely spectral distance similarity (SDS), spectral correlation similarity (SCS), spectral similarity value (SSV), spectral angle mapper (SAM), and spectral information divergence (SID). SDS showed an error in the detection of seawater inside the ship, and SAM showed a clear classification result with a difference between ship and seawater of approximately 1.8 times. Additionally, the present study classified the vessels included in hyperspectral images by presenting the adaptive thresholds of each technique. As a result, SAM and SID showed superior ship detection abilities compared to those of other detection algorithms.

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“…Yim et al [8] monitored stranded oil for its identity and weathering status in three contaminated provinces along the west coast of South Korea. Kim et al [9] applied a neural network (NN) and an adaptive threshold method to detect the oil slicks resulting from the Hebei Spirit accident and to monitor their evolution from synthetic aperture radar (SAR) images. They reported variations in the extent of the oil spill and its movement as affected by currents and winds.…”

Section: Introductionmentioning

confidence: 99%

Influence of Tidal Current, Wind, and Wave in Hebei Spirit Oil Spill Modeling

Lee

Kim

Cho

2020

JMSE

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The purpose of this study is to investigate the effects of three external forces (tidal current, wind, and waves) on the movement of oil spilled during the Hebei Spirit oil spill accident. The diffusion of the spilled oil was simulated by using a random walk (RW) model that tracks the movement caused by advection-diffusion assuming oil as particles. For oil simulation, the wind drift current generated by wind and tidal current fields were computed by using the environmental fluid dynamics code (EFDC) model. Next, the wave fields were simulated by using the simulating waves nearshore (SWAN) model, and the Stokes drift current fields were calculated by applying the equation proposed by Stokes. The computed tidal currents, wind drift currents, and Stokes drift currents were applied as input data to the RW model. Then, oil diffusion distribution for each external force component was investigated and compared with that obtained from satellite images. When the wind drift currents and Stokes drift currents caused by waves were considered, the diffusion distribution of the spilled oil showed good agreement with that obtained from the observation.

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Detection of the Hebei Spirit oil spill on SAR imagery and its temporal evolution in a coastal region of the Yellow Sea

Cited by 29 publications

References 48 publications

Modulation of Tidal Channel Signatures on SAR Images Over Gyeonggi Bay in Relation to Environmental Factors

Modulation of Tidal Channel Signatures on SAR Images Over Gyeonggi Bay in Relation to Environmental Factors

The Ship Detection Using Airborne and In-situ Measurements Based on Hyperspectral Remote Sensing

Influence of Tidal Current, Wind, and Wave in Hebei Spirit Oil Spill Modeling

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