Double-Bounce Contribution Effect in the Estimation of Biophysical Parameters of Vegetation Based on PolInSAR TanDEM-X Bistatic Data

Please use this identifier to cite or link to this item: http://hdl.handle.net/10045/88348
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dc.contributorSeñales, Sistemas y Telecomunicaciónes_ES
dc.contributor.authorRomero-Puig, Noelia-
dc.contributor.authorLopez-Sanchez, Juan M.-
dc.contributor.authorBallester Berman, Josep David-
dc.contributor.otherUniversidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señales_ES
dc.contributor.otherUniversidad de Alicante. Instituto Universitario de Investigación Informáticaes_ES
dc.date.accessioned2019-02-18T07:37:44Z-
dc.date.available2019-02-18T07:37:44Z-
dc.date.issued2019-01-30-
dc.identifier.urihttp://hdl.handle.net/10045/88348-
dc.descriptionProceedings of the 9th International Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry (POLinSAR'2019), Frascati, Italia.es_ES
dc.description.abstractIn this work we provide a detailed analysis of the effect of the double-bounce decorrelation factor on the inversion of scene parameters, with particular focus on the vegetation height. The study employs both simulated data as well as real data acquired over rice fields during the science phase of the TanDEM-X mission. The potential limitations of current inversion approaches are assessed, and the influence of both system parameters (i.e. incidence angle) and scene parameters (i.e. extinction coefficient and ground-to-volume ratios) is evaluated. Results show that the bias in the estimation of scene parameters is higher when the incidence angle is above 30 degrees, i.e for shallow incidences. The normalised vegetation height, i.e. expressed as kv , is used in order to extrapolate the results to other scenarios, e.g. forests.es_ES
dc.description.sponsorshipMinisterio de Ciencia, Innovación y Universidades, Agencia Estatal de Investigación (AEI) y Fondos FEDR. Proyecto TEC2017-85244-C2-1-P. Generalitat Valenciana y Fondo Social Europeo (ESF), ref. ACIF/2018/204.es_ES
dc.languageenges_ES
dc.rights© The authorses_ES
dc.subjectInterferometría polarimétricaes_ES
dc.subjectRadar de apertura sintéticaes_ES
dc.subjectVegetaciónes_ES
dc.subjectTanDEM-Xes_ES
dc.subject.otherTeoría de la Señal y Comunicacioneses_ES
dc.titleDouble-Bounce Contribution Effect in the Estimation of Biophysical Parameters of Vegetation Based on PolInSAR TanDEM-X Bistatic Dataes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.peerreviewedsies_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
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