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dc.contributor.authorDierking, Wolfgang Fritz Otto
dc.contributor.authorStern, Harry L.
dc.contributor.authorHutchings, Jennifer K.
dc.date.accessioned2021-03-15T09:49:07Z
dc.date.available2021-03-15T09:49:07Z
dc.date.issued2020-09-15
dc.description.abstractThe objective of this note is to provide the background and basic tools to estimate the statistical error of deformation parameters that are calculated from displacement fields retrieved from synthetic aperture radar (SAR) imagery or from location changes of position sensors in an array. We focus here specifically on sea ice drift and deformation. In the most general case, the uncertainties of divergence/convergence, shear, vorticity, and total deformation are dependent on errors in coordinate measurements, the size of the area and the time interval over which these parameters are determined, as well as the velocity gradients within the boundary of the area. If displacements are calculated from sequences of SAR images, a tracking error also has to be considered. Timing errors in position readings are usually very small and can be neglected. We give examples for magnitudes of position and timing errors typical for buoys and SAR sensors, in the latter case supplemented by magnitudes of the tracking error, and apply the derived equations on geometric shapes frequently used for deriving deformation from SAR images and buoy arrays. Our case studies show that the size of the area and the time interval for calculating deformation parameters have to be chosen within certain limits to make sure that the uncertainties are smaller than the magnitude of deformation parameters.en_US
dc.identifier.citationDierking, Stern, Hutchings. Estimating statistical errors in retrievals of ice velocity and deformation parameters from satellite images and buoy arrays. The Cryosphere. 2020;14:2999-3016en_US
dc.identifier.cristinIDFRIDAID 1844652
dc.identifier.doi10.5194/tc-14-2999-2020
dc.identifier.issn1994-0416
dc.identifier.issn1994-0424
dc.identifier.urihttps://hdl.handle.net/10037/20687
dc.language.isoengen_US
dc.publisherEuropean Geosciences Union (EGU)en_US
dc.relation.journalThe Cryosphere
dc.relation.projectIDinfo:eu-repo/grantAgreement/RCN/SFI/237906/Norway/Centre for Integrated Remote Sensing and Forecasting for Arctic Operations (CIRFA)/CIRFA/en_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2020 The Author(s)en_US
dc.subjectVDP::Mathematics and natural science: 400en_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400en_US
dc.titleEstimating statistical errors in retrievals of ice velocity and deformation parameters from satellite images and buoy arraysen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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