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dc.contributor.authorUllerud, Heidrun Asgeirsdatter
dc.contributor.authorBryn, Anders
dc.contributor.authorSkånes, Helle
dc.date.accessioned2021-06-21T09:33:01Z
dc.date.available2021-06-21T09:33:01Z
dc.date.created2020-02-05T11:55:18Z
dc.date.issued2020-02-04
dc.identifier.citationNorsk Geografisk Tidsskrift. 2020, 73 (5), 301-317.en_US
dc.identifier.issn0029-1951
dc.identifier.urihttps://hdl.handle.net/11250/2760363
dc.description.abstractThe abstract classification system Nature in Norway (NiN) has detailed ecological definitions of a high number of ecosystem units, but its applicability in practical vegetation mapping is unknown because it was not designed with a specific mapping method in mind. To investigate this further, two methods for mapping – 3D aerial photographic interpretation of colour infrared photos and field survey – were used to map comparable neighbouring sites of 1 km2 in Hvaler Municipality, south-eastern Norway. The classification accuracy of each method was evaluated using a consensus classification of 160 randomly distributed plots within the study sites. The results showed an overall classification accuracy of 62.5% for 3D aerial photographic interpretation and 82.5% for field survey. However, the accuracy varied for the ecosystem units mapped. The classification accuracy of ecosystem units in acidic, dry and open terrain was similar for both methods, whereas classification accuracy of calcareous units was highest using field survey. The mapping progress using 3D aerial photographic interpretation was more than two times faster than that of field survey. Based on the results, the authors recommend a method combining 3D aerial photographic interpretation and field survey to achieve effectively accurate mapping in practical applications of the NiN system.en_US
dc.language.isoengen_US
dc.publisherTaylor & Francis Groupen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleBridging theory and implementation – Testing an abstract classification system for practical mapping by field survey and 3D aerial photographic interpretationen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2020 The Author(s)en_US
dc.source.pagenumber301-317en_US
dc.source.volume73en_US
dc.source.journalNorsk Geografisk Tidsskriften_US
dc.source.issue5en_US
dc.identifier.doi10.1080/00291951.2020.1717595
dc.identifier.cristin1791107
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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