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dc.date.accessioned2018-04-04T14:40:27Z
dc.date.available2018-04-04T14:40:27Z
dc.date.created2017-08-10T11:19:29Z
dc.date.issued2017
dc.identifier.citationAltena, Bas Kääb, Andreas . Weekly glacier flow estimation from dense satellite time series using adapted optical flow technology. Frontiers in Earth Science. 2017, 5
dc.identifier.urihttp://hdl.handle.net/10852/61418
dc.description.abstractContemporary optical remote sensing satellites or constellations of satellites can acquire imagery at sub-weekly or even daily timescales. These systems have the potential to facilitate intra-seasonal, short-term surface velocity variations across a range of ice masses. Current techniques for displacement estimation are based on matching image pairs with sufficient displacement and/or preservation of the surface over time and consequently, do not benefit from an increase in satellite revisit times. Here, we explore an approach that is fundamentally different from image correlation or similar approaches and engages the concept of optical flow. Our goal is to assess whether this technique could overcome the limitations of image matching and yield new insights in glacier flow dynamics. We implement two different methods of optical flow, and test these implementations utilizing the SPOT5 Take5 dataset at two glaciers: Kronebreen, Svalbard and Kaskawulsh Glacier, Yukon. At Kaskawulsh Glacier, we extract intra-seasonal velocity variations that are synchronous with episodes of increased air temperature. Moreover, even for the cloudy dataset of Kronebreen, we can extract spatio-temporal trajectories that correlate well with measured GPS flow paths. Since the underlying concept is simple and computationally efficient due to data-reduction, our optical flow methodology can be rapidly adapted for a range of studies from the investigation of large scale ice sheet dynamics down to the estimation of displacements over small and slow flowing glaciers.en_US
dc.languageEN
dc.publisherFrontiers Media
dc.relation.ispartofAltena, Bas (2018) Observing change in glacier flow by using optical satellites. Doctoral thesis http://hdl.handle.net/10852/61747
dc.relation.urihttp://hdl.handle.net/10852/61747
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleWeekly glacier flow estimation from dense satellite time series using adapted optical flow technologyen_US
dc.typeJournal articleen_US
dc.creator.authorAltena, Bas
dc.creator.authorKääb, Andreas
cristin.unitcode185,15,22,0
cristin.unitnameInstitutt for geofag
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.cristin1485331
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Frontiers in Earth Science&rft.volume=5&rft.spage=&rft.date=2017
dc.identifier.jtitleFrontiers in Earth Science
dc.identifier.volume5
dc.identifier.pagecount12
dc.identifier.doihttp://dx.doi.org/10.3389/feart.2017.00053
dc.identifier.urnURN:NBN:no-64034
dc.type.documentTidsskriftartikkelen_US
dc.type.peerreviewedPeer reviewed
dc.source.issn2296-6463
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/61418/2/feart-05-00053%25281%2529.pdf
dc.type.versionPublishedVersion
cristin.articleid53


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