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oaioai:dspace.bsu.edu.ru:123456789/48173

Identification of species of the genus Acer L. using vegetation indices calculated from the hyperspectral images of leaves

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Publication date
1 January 2022
Publisher
Doi

    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

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    Last time updated on 25/10/2022

    This paper was published in DSpace at Belgorod State University.

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