Oil Spill Monitoring and Prediction Method Using SAR

Title
Oil Spill Monitoring and Prediction Method Using SAR
Author(s)
김태호; 양찬수
KIOST Author(s)
Yang, Chan Su(양찬수)
Publication Year
2019-05-16
Abstract
In this paper, we introduce the oil spill detection and it’s movement prediction techniques using SAR. In order to detect the oil slicks in the SAR image, the theoretically calculated backscattering value was used as the threshold value. In addition, various wave spectrum models are applied to calculate the optimal threshold value. The detected results were used as initial input values for the movement prediction model. In this model, wind and tidal current are used as external force and coefficient values calculated by using modified equation are applied. To assess the performance of this technology, we applied it to the 2007 Hebei Spirit oil spill. This technique showed higher prediction accuracy than the generally recommended empirical formula. Especially, it shows the possibility of inverse tracking the first spill location using the oil slicks detected in the satellite image.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/22676
Bibliographic Citation
2019년 한국해양과학기술협의회 공동학술대회, pp.96, 2019
Publisher
한국해양과학기술협의회
Type
Conference
Language
English
Publisher
한국해양과학기술협의회
Related Researcher
Research Interests

Satellite Oceanography,Marine Safety & Security,Remote Sensing,위성해양학,해양 안전 및 보안,원격탐사

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