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dc.contributorPraks, Jaan
dc.contributorMallorquí Franquet, Jordi Joan
dc.contributor.authorJorge Ruiz, Jorge
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2019-06-21T10:58:55Z
dc.date.available2019-06-21T10:58:55Z
dc.date.issued2019-05-22
dc.identifier.urihttp://hdl.handle.net/2117/134926
dc.descriptionStudy the possibilities of deploying SAR sensors in space using small satellites.
dc.description.abstractThis work focuses on the analysis of X-band Interferometric Synthetic Aperture Radar (InSAR) satellite acquisitions over forested areas in Estonia with the main goal of estimating forest tree height. The objective is to understand the behavior of InSAR coherence better particularly in the forest media and seek for suitable models to derive forest height (can be further linked to forest above ground biomass l) from InSAR measurements. The test area is located in Estonia, in the natural park of Soomaa. A set of 9 InSAR image pairs acquired by the German TanDEM-X satellite mission during 2012 are used in the study. The interferometric SAR processing has been done with SNAP (Sentinel Application Platform), a software designed by ESA (European Space Agency) for Sentinel and third-party missions. The focus is set on Random Volume over Ground (RVoG) and related models to describe the relation between forest parameters and InSAR coherence. In order to derive tree height from the models, complex domain inversion procedure is developed. The inversion results are compared with simplified model inversion and validated with airborne laser scanning data acquired by the Estonian Land Board. The results show robustness of Random Volume over Ground model for modelling the X-band complex coherence over forested areas. Developed tree height retrieval procedure shows an error between 26.7\% (RMSE = 3.8 m) and 30.2 \% (RMSE = 4.3 m) on a pixel-by-pixel basis.
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya
dc.rightsS'autoritza la difusió de l'obra mitjançant la llicència Creative Commons o similar 'Reconeixement-NoComercial- SenseObraDerivada'
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject.lcshSynthetic aperture radar
dc.subject.lcshInterferometry
dc.subject.otherforest height
dc.subject.otherbiomass estimation
dc.subject.otherradar interferometry
dc.subject.otherSynthetic Aperture Radar (SAR)
dc.subject.otherTanDEM-X
dc.subject.otherInSAR
dc.subject.otherRandom Volume over Ground
dc.subject.othersemi-empirical models
dc.subject.othercoherence
dc.subject.otherLIDAR
dc.titleComplex domain analysis of random volume over ground model for forest height
dc.typeMaster thesis
dc.subject.lemacRadar d'obertura sintètica
dc.subject.lemacInterferometria
dc.identifier.slugETSETB-230.138821
dc.rights.accessOpen Access
dc.date.updated2019-06-10T05:51:15Z
dc.audience.educationlevelMàster
dc.audience.mediatorEscola Tècnica Superior d'Enginyeria de Telecomunicació de Barcelona


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