Potential use of hyperspectral data to classify forest tree species

Evaluates the accuracy of tree species classification methods using a hyperspectral Airborne Imaging Spectrometer for Application (AISA) Eagle image for a forested area in northern Poland. Source: National Library of New Zealand Te Puna Matauranga o Aotearoa, licensed by the Department of Internal A...

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Bibliographic Details
Published inNew Zealand journal of forestry science Vol. 48; no. 18
Main Authors Hycza, Tomasz, Stereńczak, Krzysztof, Bałazy, Radomir
Format Journal Article
LanguageEnglish
Published 2018
Subjects
Classification
Forest surveys
Hyperspectral imaging
Remote sensing
Trees
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Summary:Evaluates the accuracy of tree species classification methods using a hyperspectral Airborne Imaging Spectrometer for Application (AISA) Eagle image for a forested area in northern Poland. Source: National Library of New Zealand Te Puna Matauranga o Aotearoa, licensed by the Department of Internal Affairs for re-use under the Creative Commons Attribution 3.0 New Zealand Licence.
Bibliography:Archived by the National Library of New Zealand
Includes appendices, illustrations, maps, references, tables
ISSN:1179-5395
0048-0134
1179-5395