Increasing the distinctiveness of forest species composition by satellite images

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Increasing the distinctiveness of forest species composition by satellite images. / Zraenko, Sergey.
в: CEUR Workshop Proceedings, Том 2665, 2020, стр. 109-112.

Результаты исследований: Вклад в журнал › Материалы конференции › Рецензирование

BibTeX

@article{6fab410f803f4d6382250970eadc5af3,

title = "Increasing the distinctiveness of forest species composition by satellite images",

keywords = "Combination of two spectral channels, Coniferous and foliar vegetation, Landsat-7, Spectral brightness",

author = "Sergey Zraenko",

year = "2020",

language = "English",

volume = "2665",

pages = "109--112",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

publisher = "CEUR-WS",

note = "6th International Conference Information Technology and Nanotechnology. Session Image Processing and Earth Remote Sensing, ITNT-IPERS 2020 ; Conference date: 26-05-2020 Through 29-05-2020",

}

RIS

TY - JOUR

T1 - Increasing the distinctiveness of forest species composition by satellite images

AU - Zraenko, Sergey

PY - 2020

Y1 - 2020

KW - Combination of two spectral channels

KW - Coniferous and foliar vegetation

KW - Landsat-7

KW - Spectral brightness

UR - http://www.scopus.com/inward/record.url?scp=85090856558&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85090856558

VL - 2665

SP - 109

EP - 112

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

SN - 1613-0073

T2 - 6th International Conference Information Technology and Nanotechnology. Session Image Processing and Earth Remote Sensing, ITNT-IPERS 2020

Y2 - 26 May 2020 through 29 May 2020

ER -

ID: 13917045