Accuracy Improvement of the Radar Backscatter Simulation from Sea Surface Covered by Oil Slick Using Fetch- Dependent Waveheight Spectrum: Comparison with the 2007 Heibei Spirit Case in the Yellow Sea SCIE SCOPUS KCI

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Title
Accuracy Improvement of the Radar Backscatter Simulation from Sea Surface Covered by Oil Slick Using Fetch- Dependent Waveheight Spectrum: Comparison with the 2007 Heibei Spirit Case in the Yellow Sea
Author(s)
Kim, Tae-Ho; Yang, Chan-Su; Ouchi, Kazuo
KIOST Author(s)
Yang, Chan Su(양찬수)
Alternative Author(s)
김태호; 양찬수
Publication Year
2016-03
Abstract
In this paper, results are presented on the comparison of X-band radar backscattering coefficient (RBC) from an oilcovered sea surface that features the Elfouhaily and Durden-Vesecky waveheight spectra. The Durden-Vesecky spectrum applies to a fully-developed sea, while the Elfouhaily spectrum accounts for the fetch of arbitrary length. Using these two waveheight spectra, a one-dimensional random rough surface is simulated by the Monte Carlo method, and the method of moments (MoM) is applied to yield the RBC. Comparison of the results with TerraSAR-X synthetic aperture radar (SAR) data acquired over the coastal waters polluted by the Hebei Spirit oil tanker shows that the Elfouhaily spectrum yields better agreement than the Durden-Vesecky spectrum for the fully-developed sea, and that the fetch- dependent Elfouhaily spectrum improves the agreement with SAR data in comparison with the fetch- independent spectrum for the fully developed sea. A possible application to estimate the amount of spilled oil is also suggested.
ISSN
1738-5261
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/2224
DOI
10.1007/s12601-016-0020-1
Bibliographic Citation
OCEAN SCIENCE JOURNAL, v.51, no.2, pp.235 - 249, 2016
Publisher
KOREA OCEAN RESEARCH DEVELOPMENT INST
Subject
SYNTHETIC-APERTURE RADAR; SPILL DETECTION; OCEAN SURFACE; CROSS-SECTION; MODEL; SCATTERING; FILMS; PERMITTIVITY; WAVES
Keywords
numerical scattering model; waveheight spectra; fetch length; oil slick; SAR
Type
Article
Language
English
Document Type
Article
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