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dc.contributor.authorTarquis Alfonso, Ana Maria
dc.contributor.authorPlatonov, A.
dc.contributor.authorMatulka, Anna Magdalena
dc.contributor.authorGrau, J.
dc.contributor.authorSekula, Emil
dc.contributor.authorDiez, M.
dc.contributor.authorRedondo Apraiz, José Manuel
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Física Aplicada
dc.date.accessioned2014-06-18T10:49:17Z
dc.date.available2014-06-18T10:49:17Z
dc.date.created2014-01-01
dc.date.issued2014-01-01
dc.identifier.citationTarquis Alfonso, A. [et al.]. Application of multifractal analysis to the study of SAR features and oil spills on the ocean surface. "Nonlinear processes in geophysics", 01 Gener 2014, vol. 21, núm. 2, p. 439-450.
dc.identifier.issn1023-5809
dc.identifier.urihttp://hdl.handle.net/2117/23257
dc.description.abstractThe use of synthetic aperture radar (SAR) to investigate the ocean surface provides a wealth of useful information that is very seldom used to its full potential. Here we will discuss the application of multifractal techniques to detect oil spills and the dynamic state of the sea regarding turbulent diffusion. We present different techniques in order to relate the shape of the multifractal spectral functions and the maximum fractal dimension to the behaviour of the ocean surface. We compare eddy and sheared dominated flows with convective driven flows and discuss the different features and observation methods. We also compare the scaling of different oil spills detected by means of SAR images. Recent spills and weathered ones are selected and compared to investigate their behaviour in different spatial and temporal ranges. We calculate the partition function based on the grey intensity value of each SAR pixel deriving several types of multifractal spectra as a function of spill residence time estimated for each image. Image manipulations are seen to reduce the speckle noise and thus distinguish much better the texture of the oil spill images. The results are used to discuss how eddy diffusivity may be estimated and used in a description of the ocean surface using a simple turbulence kinematic simulation model to predict the shape of oil spills. Differences in the multifractal spectrum among SAR images may detect the slicks due to plankton and also provide information on the age of the oil spills, on the Lagrangian turbulent structure and on ocean surface diffusivity.
dc.format.extent12 p.
dc.language.isoeng
dc.publisherUniversity of Thechnology and Agriculture Nicholas Copernicus University
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Física
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica
dc.subject.lcshGround penetrating radar
dc.subject.lcshPhysics - Graphic methods
dc.subject.otherLOCAL-STRUCTURE
dc.subject.otherCOASTAL WATERS
dc.subject.otherTURBULENCE
dc.subject.otherDIFFUSION
dc.subject.otherIMAGES
dc.subject.otherFLUID
dc.subject.otherDISPERSION
dc.subject.otherDIMENSION
dc.subject.otherPATTERNS
dc.subject.otherFLOWS
dc.titleApplication of multifractal analysis to the study of SAR features and oil spills on the ocean surface
dc.typeArticle
dc.subject.lemacGeoradar
dc.subject.lemacFísica--Mètodes gràfics
dc.contributor.groupUniversitat Politècnica de Catalunya. DF - Dinàmica No Lineal de Fluids
dc.identifier.doi10.5194/npg-21-439-2014
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
local.identifier.drac14938798
dc.description.versionPostprint (published version)
local.citation.authorTarquis Alfonso, A.; Platonov, A.; Matulka, A.M.; Grau, J.; Sekula, E.; Diez, M.; Redondo, J.
local.citation.publicationNameNonlinear processes in geophysics
local.citation.volume21
local.citation.number2
local.citation.startingPage439
local.citation.endingPage450


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Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain