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dc.date.accessioned2019-11-18T19:36:14Z
dc.date.available2019-11-18T19:36:14Z
dc.date.created2018-11-05T09:50:39Z
dc.date.issued2018
dc.identifier.citationGirod, Luc Maurice Ramuntcho Nielsen, Niels Ivar Couderette, Frédérique Nuth, Christopher Kääb, Andreas . Precise DEM extraction from Svalbard using 1936 high oblique imagery. Geoscientific Instrumentation, Methods and Data Systems. 2018, 7, 277-288
dc.identifier.urihttp://hdl.handle.net/10852/70873
dc.description.abstractStretching time series further in the past with the best possible accuracy is essential to the understanding of climate change impacts and geomorphological processes evolving on decadal-scale time spans. In the first half of the twentieth century, large parts of the polar regions were still unmapped or only superficially so. To create cartographic data, a number of historic photogrammetric campaigns were conducted using oblique imagery, which is easier to work with in unmapped environments as collocating images is an easier task for the human eye given a more familiar viewing angle and a larger field of view. Even if the data obtained from such campaigns gave a good baseline for the mapping of the area, the precision and accuracy are to be considered with caution. Exploiting the possibilities arising from modern image processing tools and reprocessing the archives to obtain better data is therefore a task worth the effort. The oblique angle of view of the data is offering a challenge to classical photogrammetric tools, but the use of modern structure-from-motion (SfM) photogrammetry offers an efficient and quantitative way to process these data into terrain models. In this paper, we propose a good practice method for processing historical oblique imagery using free and open source software (MicMac and Python) and illustrate the process using images of the Svalbard archipelago acquired in 1936 by the Norwegian Polar Institute. On these data, our workflow provides 5 m resolution, high-quality elevation data (SD 2 m for moderate terrain) as well as orthoimages that allow for the reliable quantification of terrain change when compared to more modern data.
dc.languageEN
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titlePrecise DEM extraction from Svalbard using 1936 high oblique imagery
dc.title.alternativeENEngelskEnglishPrecise DEM extraction from Svalbard using 1936 high oblique imagery
dc.typeJournal article
dc.creator.authorGirod, Luc Maurice Ramuntcho
dc.creator.authorNielsen, Niels Ivar
dc.creator.authorCouderette, Frédérique
dc.creator.authorNuth, Christopher
dc.creator.authorKääb, Andreas
cristin.unitcode185,15,22,60
cristin.unitnameSeksjon for naturgeografi og hydrologi
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.cristin1626918
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Geoscientific Instrumentation, Methods and Data Systems&rft.volume=7&rft.spage=277&rft.date=2018
dc.identifier.jtitleGeoscientific Instrumentation, Methods and Data Systems
dc.identifier.volume7
dc.identifier.startpage277
dc.identifier.endpage288
dc.identifier.doihttps://doi.org/10.5194/gi-7-277-2018
dc.identifier.urnURN:NBN:no-73988
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn2193-0856
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/70873/2/gi-7-277-2018.pdf
dc.type.versionPublishedVersion


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