Inverse Modeling of GPS Multipath for Snow Depth Estimation-Part I: Formulation and Simulations

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dc.contributor.authorNievinski, Felipe G. [UNESP]
dc.contributor.authorLarson, Kristine M.
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniv Colorado
dc.date.accessioned2015-03-18T15:55:07Z
dc.date.available2015-03-18T15:55:07Z
dc.date.issued2014-10-01
dc.description.abstractSnowpacks provide reservoirs of freshwater. The amount stored and how fast it is released by melting are vital information for both scientists and water supply managers. GPS multipath reflectometry (GPS-MR) is a new technique that can be used to measure snow depth. Signal-to-noise ratio data collected by GPS instruments exhibit peaks and troughs as coherent direct and reflected signals go in and out of phase. These interference fringes are used to retrieve the unknown land surface characteristics. In this two-part contribution, a forward/inverse approach is offered for GPS-MR of snow depth. Part I starts with the physically based forward model utilized to simulate the coupling of the surface and antenna responses. A statistically rigorous inverse model is presented and employed to retrieve parameter corrections responsible for observation residuals. The unknown snow characteristics are parameterized, the observation/parameter sensitivity is illustrated, the inversion performance is assessed in terms of its precision and its accuracy, and the dependence of model results on the satellite direction is quantified. The latter serves to indicate the sensing footprint of the reflection.en
dc.description.affiliationUniv Estadual Paulista, Dept Cartog, BR-19060900 Presidente Prudente, SP, Brazil
dc.description.affiliationUniv Colorado, Dept Aerosp Engn Sci, Boulder, CO 80309 USA
dc.description.affiliationUnespUniv Estadual Paulista, Dept Cartog, BR-19060900 Presidente Prudente, SP, Brazil
dc.description.sponsorshipNational Science Foundation (NSF)
dc.description.sponsorshipNational Aeronautics and Space Administration (NASA)
dc.description.sponsorshipCU interdisciplinary seed grant
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipNASA Earth System Science Research Fellowship
dc.description.sponsorshipIdNational Science Foundation (NSF)EAR 0948957
dc.description.sponsorshipIdNational Science Foundation (NSF)AGS 0935725
dc.description.sponsorshipIdNational Aeronautics and Space Administration (NASA)NNX12AK21G
dc.description.sponsorshipIdCAPES: 1834/07-0
dc.description.sponsorshipIdNASA Earth System Science Research FellowshipNNX11AL50H
dc.format.extent6555-6563
dc.identifierhttp://dx.doi.org/10.1109/TGRS.2013.2297681
dc.identifier.citationIeee Transactions On Geoscience And Remote Sensing. Piscataway: Ieee-inst Electrical Electronics Engineers Inc, v. 52, n. 10, p. 6555-6563, 2014.
dc.identifier.doi10.1109/TGRS.2013.2297681
dc.identifier.issn0196-2892
dc.identifier.urihttp://hdl.handle.net/11449/117075
dc.identifier.wosWOS:000337173200046
dc.language.isoeng
dc.publisherIeee-inst Electrical Electronics Engineers Inc
dc.relation.ispartofIeee Transactions On Geoscience And Remote Sensing
dc.relation.ispartofjcr4.662
dc.relation.ispartofsjr2,649
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectArtificial satellitesen
dc.subjectelectromagnetic reflectionen
dc.subjectglobal positioning systemen
dc.subjectinterferometersen
dc.subjectmultipath channelsen
dc.subjectradar remote sensingen
dc.titleInverse Modeling of GPS Multipath for Snow Depth Estimation-Part I: Formulation and Simulationsen
dc.typeArtigo
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dcterms.rightsHolderIeee-inst Electrical Electronics Engineers Inc
unesp.author.orcid0000-0002-3325-1987[1]
unesp.author.orcid0000-0003-4666-8885[2]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências e Tecnologia, Presidente Prudentept

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