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Generalization of heterogeneous alpine vegetation in air photo-based image classification, Latnjajaure catchment, northern Sweden
Karlstad University, Faculty of Social and Life Sciences, Department of Geography and Tourism. Karlstad University, Faculty of Social and Life Sciences, Centre for Climate and Safety.
2006 (English)In: Pirineos: Revista de Ecología de Montaña, ISSN 0373-2568, E-ISSN 1988-4281, Vol. 161, no 3a32Article in journal (Refereed) Published
Abstract [en]

Mapping alpine vegetation at a meso-scale (catchment level) using remote sensing presents difficulties due to a patchy distribution and heteregeneous spectral appearance of the plant cover. We discuss issues of generalization and accuracy assessment in this case study when using a digital CIR air photo for an automatic classification of the dominant plant communities. About 10 plant communities could be classified with acceptable accuracy where the chosen classification scheme determined the final outcome. If a high resolution pixel mosaic is generalized to units that match the positional accuracy of simple GPS this generalization may also influence the information content of the image

Place, publisher, year, edition, pages
Jaca: Instituto Pirenaico de Ecologia , 2006. Vol. 161, no 3a32
Keyword [en]
tundra, plant community, GIS, CIR-air photo, digital classification
National Category
Physical Geography
Research subject
Physical Geography
Identifiers
URN: urn:nbn:se:kau:diva-19745DOI: 10.3989/pirineos.2006.v161.1OAI: oai:DiVA.org:kau-19745DiVA: diva2:593396
Available from: 2013-01-21 Created: 2013-01-21 Last updated: 2015-09-17Bibliographically approved

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Nyberg, Rolf
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