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| Titel |
SAR measurements of coastal features in the NW Mediterranean |
| VerfasserIn |
Jose M. Redondo, Juan Jose Martinez Benjamin, Margarita Diez, Pilar Lopez Gonzalez-Nieto |
| Konferenz |
EGU General Assembly 2013
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 15 (2013) |
| Datensatznummer |
250071809
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| Zusammenfassung |
| The Synthetic Aperture Radar (SAR) is a useful tool to study both marine water dynamics and its pollution, this is relevant near the coastline, where river pollution may be also important. Oil spills and natural slicks are detected with SAR [1-3] to reveal river and vessel pollution as well as the complex eddy and current interaction in the ocean surface near the coastline. In the framework of the ESA and European Union contracts, more than 1000 SAR images of the North-west Mediterranean Sea area taken between December 1996 and December 2008 are presented using self-similar traces that may be used to parametrize mixing at both limits of the Rossby Deformation Radius scale. Results show the ability to identify different SAR signatures and at the same time provide calibrations for the different
local configurations of vortices, spirals, oil spills and tensioactive slicks that eventually allow predicting the behaviour of
different tracers and pollutants in the NW Mediterranean Sea. Thanks to different polarization and
intensity levels in satellite imagery can be used to distinguish between natural and man-made sea surface
features due to their distinct self-similar
as a function of spill parameters, environmental
conditions and history of both oil release and weather conditions. (Environmental factors determine [4]
spreading, drift and weathering of oil on the sea surface - see: Behaviour oil at sea). Detecting the low
contrast patches depends also on the speckle noise which always presents in the image. Application of
different filters (available for example in several image processing software (Matlab, Envi, IDL) to the
radar data decreases noise level and improves the feature detecting in the image
[1] Bezerra, M.O., Diez, M., Medeiros, C., Rodriguez, A., Bahia, E., Sanchez-Arcilla, A. and Redondo, J.M. 1998. Study on the
influence of waves on coastal diffusion using image analysis. Applied Scientific Research 59, pp.191-204.
[2] Carrillo, A., A., Sanchez,, M.A., Platonov, A., Redondo, J.M. 2001. Coastal and Interfacial Mixing. Laboratory
Experiments and Satellite Observations. Physics and Chemistry of the Earth, v. B, 26/4. pp. 305-311.
[3]Redondo J., Rodriguez A., Bahia E., Falqués A., Gracia V., Sánchez Arcilla A. and Stive M.J.F. (1994). Image Analysis of Surf-Zone Hydrodynamics. Coastal Dynamics'94, ASCE.
[4]Rodriguez A., Sánchez-Arcilla A., Redondo, J.M., Bahia E. and Sierra, J.P. (1995): Measurements and modelling of pollutant dispersion in the nearshore region, Water Science and Technology, IAWQ, 32, 10-19. |
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