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Authors: Bo wang 1 ; Bertrand Chapron 2 and Rene Garello 3

Affiliations: 1 China University of Petroleum (Huadong), China ; 2 IFREMER, France ; 3 Telecom Bretagne, France

Keyword(s): Ocean Remote Sensing, Polarimetric SAR, Oil Trajectory.

Abstract: The ocean surface is part of the upper ocean which directly interacts with the overlying atmosphere and sea ice. Once oil spill happened due to an accident such as the oil rig pipe leaking and exploring, it would be unimaginable disaster to the oceanic environment, especially in the coastal area. If we can predict the direction along which the oil films floats over the marginal sea surface, the damage would be controlled within a pre-knowledge level. Under these knowledge, we analysed the polarimetric SAR (Synthetic Aperture Radar) data with an analytical model to separate backscattered contributions by different sea surface scatterers. Furthermore, it provides a possible prediction of the local wind direction by using the separated backscattered signal. With this direction, it is ready to predict the direction of oil film’s floating.

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Paper citation in several formats:
wang, B.; Chapron, B. and Garello, R. (2014). Ocean Remote Sensing Data Predicts Trajectory of Oil Spill - An Analytical Model for SAR Polarimetric Scattering Matrix. In Proceedings of the 4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2014) - MSCCEC; ISBN 978-989-758-038-3; ISSN 2184-2841, SciTePress, pages 822-827. DOI: 10.5220/0005125308220827

@conference{msccec14,
author={Bo wang. and Bertrand Chapron. and Rene Garello.},
title={Ocean Remote Sensing Data Predicts Trajectory of Oil Spill - An Analytical Model for SAR Polarimetric Scattering Matrix},
booktitle={Proceedings of the 4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2014) - MSCCEC},
year={2014},
pages={822-827},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005125308220827},
isbn={978-989-758-038-3},
issn={2184-2841},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2014) - MSCCEC
TI - Ocean Remote Sensing Data Predicts Trajectory of Oil Spill - An Analytical Model for SAR Polarimetric Scattering Matrix
SN - 978-989-758-038-3
IS - 2184-2841
AU - wang, B.
AU - Chapron, B.
AU - Garello, R.
PY - 2014
SP - 822
EP - 827
DO - 10.5220/0005125308220827
PB - SciTePress

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