| DC Field | Value | Language |
|---|
| dc.contributor.author | Dmitriev, P. A. | - |
| dc.contributor.author | Kozlovsky, B. L. | - |
| dc.contributor.author | Kupriushkin, D. P. | - |
| dc.contributor.author | Lysenko, V. S. | - |
| dc.contributor.author | Tokhtar, V. K. | - |
| dc.date.accessioned | 2022-10-20T08:48:58Z | - |
| dc.date.available | 2022-10-20T08:48:58Z | - |
| dc.date.issued | 2022 | - |
| dc.identifier.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 | ru |
| dc.identifier.uri | http://dspace.bsu.edu.ru/handle/123456789/48173 | - |
| dc.description.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 | ru |
| dc.language.iso | en | ru |
| dc.subject | biology | ru |
| dc.subject | botany | ru |
| dc.subject | maple | ru |
| dc.subject | remote sensing | ru |
| dc.subject | Cubert UHD-185 | ru |
| dc.subject | species identification | ru |
| dc.subject | NDVI | ru |
| dc.subject | Acer L. | ru |
| dc.subject | leaves | ru |
| dc.subject | vegetation indices | ru |
| dc.title | Identification of species of the genus Acer L. using vegetation indices calculated from the hyperspectral images of leaves | ru |
| dc.type | Article | ru |
| Appears in Collections: | Статьи из периодических изданий и сборников (на иностранных языках) = Articles from periodicals and collections (in foreign languages)
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