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dc.contributor.advisorTømmervik, Hans
dc.contributor.advisorNilsen, Lennart
dc.contributor.authorStabursvik, Ellen Margrethe
dc.date.accessioned2007-10-05T10:35:32Z
dc.date.available2007-10-05T10:35:32Z
dc.date.issued2007-08
dc.description.abstractThe rich broadleaved forests of North Norway have high species diversity. Mappings of biodiversity have been undertaken in the two municipalities Målselv and Bardu, but these mappings are far from exhaustive. This study examines classification methods for mapping rich broadleaved forests with the use of Landsat ETM+ images, and with vegetation indices as ancillary data. Three classifications were made; one supervised (on a July image) and two unsupervised (on the July image and a September image). Of these, the unsupervised classification of the July image had the best Overall Accuracy at 60.59 % and a Kappa coefficient of 0.4262. It seems that it is somewhat difficult to differentiate between the various rich broadleaved forest types with the use of Landsat ETM+ images, with their medium resolution, and a per-pixel classification. But with the added use of a tresholded NDVI it is possible to discern richer forest types in the study area, and to some degree imply what kind of forest we might expect to find based on the best classifications. I have compared my findings with the earlier biodiversity maps, and on this background I suggest that a new, and more thorough, mapping of the region is carried out.en
dc.format.extent2559423 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/10037/1205
dc.identifier.urnURN:NBN:no-uit_munin_960
dc.language.isoengen
dc.publisherUniversitetet i Tromsøen
dc.publisherUniversity of Tromsøen
dc.rights.accessRightsopenAccess
dc.rights.holderCopyright 2007 The Author(s)
dc.subjectVDP::Matematikk og naturvitenskap: 400::Zoologiske og botaniske fag: 480::Økologi: 488en
dc.subjectVDP::Agriculture and fishery disciplines: 900::Agriculture disciplines: 910::Management of natural resources: 914en
dc.subjectLandsaten
dc.subjectrich broadleaved foresten
dc.subjectclassificationen
dc.subjectvegetation indicesen
dc.subjectNDVIen
dc.subjectMålselven
dc.subjectBarduen
dc.subjectvegetation mappingen
dc.subjectsatellite mappingen
dc.subjectbiodiversityen
dc.titleThe challenge of identifying and conserving valuable ecosystems close to human settlements in a northern area. An approach based on field- and satellite data.en
dc.typeMaster thesisen
dc.typeMastergradsoppgaveen


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