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Please use this identifier to cite or link to this item: http://dspace.bsu.edu.ru/handle/123456789/48173
Title: Identification of species of the genus Acer L. using vegetation indices calculated from the hyperspectral images of leaves
Authors: Dmitriev, P. A.
Kozlovsky, B. L.
Kupriushkin, D. P.
Lysenko, V. S.
Tokhtar, V. K.
Keywords: biology
botany
maple
remote sensing
Cubert UHD-185
species identification
NDVI
Acer L.
leaves
vegetation indices
Issue Date: 2022
Citation: Identification of species of the genus Acer L. using vegetation indices calculated from the hyperspectral images of leaves / P.A. Dmitriev [et al.] // Remote Sensing Applications: Society and Environment. - 2022. - Vol.25.-Art. 100679. - Doi: 10.1016/j.rsase.2021.100679. -URL: https://www.sciencedirect.com/science/article/pii/S2352938521002159
Abstract: Selection of the most suitable spectral vegetation indices which are applicable to the remote sensing of the forest species composition and status, is an important task aimed at the evaluation of the large-scale plant communities. There are 80 vegetation indices have been collected in the present work using the hyperspectral data, including that for the Acer platanoides L., A. saccharinum L. and A. pseudoplatanus L
URI: http://dspace.bsu.edu.ru/handle/123456789/48173
Appears in Collections:Статьи из периодических изданий и сборников (на иностранных языках) = Articles from periodicals and collections (in foreign languages)

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