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Land cover classification using high‐resolution aerial photography in Adventdalen, Svalbard

2015Journal article Open access
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dc.contributor.authorMora, Carla
dc.contributor.authorVieira, Goncalo
dc.contributor.authorPina, Pedro
dc.contributor.authorLousada, Maura
dc.contributor.authorChristiansen, Hanne H.
dc.date.accessioned2018-12-17T15:43:21Z
dc.date.available2018-12-17T15:43:21Z
dc.date.issued2015
dc.description.abstractA methodology was tested for high‐resolution mapping of vegetation and detailed geoecological patterns in the Arctic Tundra, based on aerial imagery from an unmanned aerial vehicle (visible wavelength – RGB, 6 cm pixel resolution) and from an aircraft (visible and near infrared, 20 cm pixel resolution). The scenes were fused at 10 and 20 cm to evaluate their applicability for vegetation mapping in an alluvial fan in dventdalen, Svalbard. Ground‐truthing was used to create training and accuracy evaluation sets. Supervised classification tests were conducted with different band sets, including the original and derived ones, such as and principal component analysis bands. The fusion of all original bands at 10 cm resolution provided the best accuracies. The best classifier was systematically the maximum neighbourhood algorithm, with overall accuracies up to 84%. Mapped vegetation patterns reflect geoecological conditioning factors. The main limitation in the classification was differentiating between the classes graminea, moss and Salix, and moss, graminea and Salix, which showed spectral signature mixing. Silty‐clay surfaces are probably overestimated in the south part of the study area due to microscale shadowing effects. The results distinguished vegetation zones according to a general gradient of ecological limiting factors and show that + high‐resolution imagery are excellent tools for identifying the main vegetation groups within the lowland fan study site of dventdalen, but do not allow for detailed discrimination between species.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMora, Carla, Vieira, Gonçalo, Pina, Pedro, Lousada, Maura,& Christiansen, Hanne H. (2015). Land cover classification using high‐resolution aerial photography in Adventdalen, Svalbard. Geografiska Annaler: Series A, Physical Geography, 97(3), 473-488. https://doi.org/10.1111/geoa.12088pt_PT
dc.identifier.doi10.1111/geoa.12088pt_PT
dc.identifier.issn0435-3676
dc.identifier.issn1468-0459
dc.identifier.urihttp://hdl.handle.net/10451/35937
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherTaylor & Francispt_PT
dc.relation.publisherversionhttps://www.tandfonline.com/doi/full/10.1111/geoa.12088pt_PT
dc.subjecthigh‐resolution remote sensingpt_PT
dc.subjectnear infraredpt_PT
dc.subjectUAVpt_PT
dc.subjectvegetationpt_PT
dc.subjectSvalbardpt_PT
dc.titleLand cover classification using high‐resolution aerial photography in Adventdalen, Svalbardpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage488pt_PT
oaire.citation.issue3pt_PT
oaire.citation.startPage473pt_PT
oaire.citation.titleGeografiska Annaler: Series A, Physical Geographypt_PT
oaire.citation.volume97pt_PT
person.familyNameMora
person.familyNameBrito Guapo Teles Vieira
person.givenNameCarla
person.givenNameGonçalo
person.identifierG-5958-2010
person.identifier.ciencia-id0612-E2F4-590C
person.identifier.ciencia-id2519-6583-CAEA
person.identifier.orcid0000-0002-0843-3658
person.identifier.orcid0000-0001-7611-3464
person.identifier.ridD-2706-2012
person.identifier.scopus-author-id7102104610
person.identifier.scopus-author-id7005863976
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication03524498-91a6-492e-97a2-6dbf2dd567bc
relation.isAuthorOfPublication7039fbb2-e1f8-4c3e-80f1-603b12d33c1c
relation.isAuthorOfPublication.latestForDiscovery03524498-91a6-492e-97a2-6dbf2dd567bc

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