A shadowing mitigation approach for sea state parameters estimation using X-band remotely sensing radar data in coastal areas

A novel procedure based on filtering and interpolation approaches is proposed to estimate the sea state parameters, including significant wave height, peak wave direction, peak period, peak wavenumber, and peak wavelength in shallow waters using the X-band marine radars. The method compensates the d...

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Autores: Navarro, Wendy, Velez, Juan C., Orfila, Alejandro, Lonin, Serguei
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2019
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/203963
Acceso en línea:http://hdl.handle.net/10261/203963
Access Level:acceso abierto
Palabra clave:Sea measurements
Radar imaging
Radar antennas
Radar cross-sections
Monitoring
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spelling A shadowing mitigation approach for sea state parameters estimation using X-band remotely sensing radar data in coastal areasNavarro, WendyVelez, Juan C.Orfila, AlejandroLonin, SergueiSea measurementsRadar imagingRadar antennasRadar cross-sectionsMonitoringA novel procedure based on filtering and interpolation approaches is proposed to estimate the sea state parameters, including significant wave height, peak wave direction, peak period, peak wavenumber, and peak wavelength in shallow waters using the X-band marine radars. The method compensates the distortions introduced by the radar acquisition process and the power decay of the radar signal along the distance applying image-enhancement techniques instead of empirical and semiempirical calibration methods that use signal-to-noise ratio and in situ measurements as external references. To determine the threshold value for the interpolation approach, the influence of the antenna height on shadowing modulation effects is examined through performing an analysis of variance (ANOVA) that uses data from two X-band radars deployed at 10 and 20 m above MSL. ANOVA results reveal that it is possible to explain the increment of intensities affected by shadowing throughout the distance using an adaptive threshold retrieved from a third-order polynomial function of the mean radar cross section (RCS). Finally, an X-band radar is installed at 13 m above MSL to test the proposed technique. During measurements, the wind and wave conditions varied, and the antenna-look direction remained constant. Errors for H, θ, and T calculated as the difference between estimated and true data show a mean bias and a relative value of 0.05 m (2.72%), 1.52° (5.94%), and 0.15 s (1.67%), respectively. The directional and wave energy spectra derived from radar estimates, acoustic wave and current, ADVs record, as well as JONSWAP formulation are presented to illustrate the improvement resulting from the proposed method over the frequency domain.Peer reviewedInstitute of Electrical and Electronics EngineersConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2020202020192020info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Postprintinfo:eu-repo/semantics/acceptedVersionhttp://hdl.handle.net/10261/203963reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttp://doi.org/10.1109/TGRS.2019.2905104Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2039632026-05-22T06:33:51Z
dc.title.none.fl_str_mv A shadowing mitigation approach for sea state parameters estimation using X-band remotely sensing radar data in coastal areas
title A shadowing mitigation approach for sea state parameters estimation using X-band remotely sensing radar data in coastal areas
spellingShingle A shadowing mitigation approach for sea state parameters estimation using X-band remotely sensing radar data in coastal areas
Navarro, Wendy
Sea measurements
Radar imaging
Radar antennas
Radar cross-sections
Monitoring
title_short A shadowing mitigation approach for sea state parameters estimation using X-band remotely sensing radar data in coastal areas
title_full A shadowing mitigation approach for sea state parameters estimation using X-band remotely sensing radar data in coastal areas
title_fullStr A shadowing mitigation approach for sea state parameters estimation using X-band remotely sensing radar data in coastal areas
title_full_unstemmed A shadowing mitigation approach for sea state parameters estimation using X-band remotely sensing radar data in coastal areas
title_sort A shadowing mitigation approach for sea state parameters estimation using X-band remotely sensing radar data in coastal areas
dc.creator.none.fl_str_mv Navarro, Wendy
Velez, Juan C.
Orfila, Alejandro
Lonin, Serguei
author Navarro, Wendy
author_facet Navarro, Wendy
Velez, Juan C.
Orfila, Alejandro
Lonin, Serguei
author_role author
author2 Velez, Juan C.
Orfila, Alejandro
Lonin, Serguei
author2_role author
author
author
dc.contributor.none.fl_str_mv Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Sea measurements
Radar imaging
Radar antennas
Radar cross-sections
Monitoring
topic Sea measurements
Radar imaging
Radar antennas
Radar cross-sections
Monitoring
description A novel procedure based on filtering and interpolation approaches is proposed to estimate the sea state parameters, including significant wave height, peak wave direction, peak period, peak wavenumber, and peak wavelength in shallow waters using the X-band marine radars. The method compensates the distortions introduced by the radar acquisition process and the power decay of the radar signal along the distance applying image-enhancement techniques instead of empirical and semiempirical calibration methods that use signal-to-noise ratio and in situ measurements as external references. To determine the threshold value for the interpolation approach, the influence of the antenna height on shadowing modulation effects is examined through performing an analysis of variance (ANOVA) that uses data from two X-band radars deployed at 10 and 20 m above MSL. ANOVA results reveal that it is possible to explain the increment of intensities affected by shadowing throughout the distance using an adaptive threshold retrieved from a third-order polynomial function of the mean radar cross section (RCS). Finally, an X-band radar is installed at 13 m above MSL to test the proposed technique. During measurements, the wind and wave conditions varied, and the antenna-look direction remained constant. Errors for H, θ, and T calculated as the difference between estimated and true data show a mean bias and a relative value of 0.05 m (2.72%), 1.52° (5.94%), and 0.15 s (1.67%), respectively. The directional and wave energy spectra derived from radar estimates, acoustic wave and current, ADVs record, as well as JONSWAP formulation are presented to illustrate the improvement resulting from the proposed method over the frequency domain.
publishDate 2019
dc.date.none.fl_str_mv 2019
2020
2020
2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Postprint
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/203963
url http://hdl.handle.net/10261/203963
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv http://doi.org/10.1109/TGRS.2019.2905104
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.812429

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