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dc.contributor.authorJohansson, Malin
dc.contributor.authorMalnes, Eirik
dc.contributor.authorGerland, Sebastian
dc.contributor.authorCristea, Anca
dc.contributor.authorDoulgeris, Anthony Paul
dc.contributor.authorDivine, Dmitry V
dc.contributor.authorPavlova, Olga
dc.contributor.authorLauknes, Tom Rune
dc.date.accessioned2020-04-01T10:45:32Z
dc.date.available2020-04-01T10:45:32Z
dc.date.created2020-02-03T14:57:24Z
dc.date.issued2019
dc.identifier.citationAnnals of Glaciology. 2019, 1-11.
dc.identifier.issn0260-3055
dc.identifier.urihttps://hdl.handle.net/11250/2649860
dc.description.abstractSynthetic Aperture Radar (SAR) satellite images are used to monitor Arctic sea ice, with systematic data records dating back to 1991. We propose a semi-supervised classification method that separates open water from sea ice and can utilise ERS-1/2, Envisat ASAR, RADARSAT-2 and Sentinel-1 SAR images. The classification combines automatic segmentation with a manual segment selection stage. The segmentation algorithm requires only the backscatter intensities and incidence angle values as input, therefore can be used to establish a consistent decadal sea ice record. In this study we investigate the sea ice conditions in two Svalbard fjords, Kongsfjorden and Rijpfjorden. Both fjords have a seasonal ice cover, though Rijpfjorden has a longer sea ice season. The satellite image dataset has weekly to daily records from 2002 until now, and less frequent records between 1991 and 2002. Time overlap between different sensors is investigated to ensure consistency in the reported sea ice cover. The classification results have been compared to high-resolution SAR data as well as in-situ measurements and sea ice maps from Ny-Ålesund. For both fjords the length of the sea ice season has shortened since 2002 and for Kongsfjorden the maximum sea ice coverage is significantly lower after 2006.
dc.language.isoeng
dc.rightsCC BY 4.0
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleConsistent ice and open water classification combining historical synthetic aperture radar satellite images from ERS-1/2, Envisat ASAR, RADARSAT-2 and Sentinel-1A/B
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionpublishedVersion
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.1017/aog.2019.52
dc.identifier.cristin1790323
dc.source.journalAnnals of Glaciology
dc.source.pagenumber1-11


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Except where otherwise noted, this item's license is described as CC BY 4.0