Standard

ANALYSIS OF AERIAL PHOTOGRAPHS TO PREDICT THE SPATIAL DISTRIBUTION OF ECOLOGICAL DATA. / Буре, Владимир Мансурович; Митрофанова, Ольга Александровна.

в: Contemporary Engineering Sciences, Том 10, № 4, 2017, стр. 157-163.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

Harvard

Буре, ВМ & Митрофанова, ОА 2017, 'ANALYSIS OF AERIAL PHOTOGRAPHS TO PREDICT THE SPATIAL DISTRIBUTION OF ECOLOGICAL DATA', Contemporary Engineering Sciences, Том. 10, № 4, стр. 157-163. https://doi.org/10.12988/ces.2017.611175

APA

Буре, В. М., & Митрофанова, О. А. (2017). ANALYSIS OF AERIAL PHOTOGRAPHS TO PREDICT THE SPATIAL DISTRIBUTION OF ECOLOGICAL DATA. Contemporary Engineering Sciences, 10(4), 157-163. https://doi.org/10.12988/ces.2017.611175

Vancouver

Буре ВМ, Митрофанова ОА. ANALYSIS OF AERIAL PHOTOGRAPHS TO PREDICT THE SPATIAL DISTRIBUTION OF ECOLOGICAL DATA. Contemporary Engineering Sciences. 2017;10(4):157-163. https://doi.org/10.12988/ces.2017.611175

Author

Буре, Владимир Мансурович ; Митрофанова, Ольга Александровна. / ANALYSIS OF AERIAL PHOTOGRAPHS TO PREDICT THE SPATIAL DISTRIBUTION OF ECOLOGICAL DATA. в: Contemporary Engineering Sciences. 2017 ; Том 10, № 4. стр. 157-163.

BibTeX

@article{a48bef3af6594f0a898e8c3136cc5da9,
title = "ANALYSIS OF AERIAL PHOTOGRAPHS TO PREDICT THE SPATIAL DISTRIBUTION OF ECOLOGICAL DATA",
author = "Буре, {Владимир Мансурович} and Митрофанова, {Ольга Александровна}",
year = "2017",
doi = "10.12988/ces.2017.611175",
language = "English",
volume = "10",
pages = "157--163",
journal = "Contemporary Engineering Sciences",
issn = "1313-6569",
publisher = "Hikari Ltd.",
number = "4",

}

RIS

TY - JOUR

T1 - ANALYSIS OF AERIAL PHOTOGRAPHS TO PREDICT THE SPATIAL DISTRIBUTION OF ECOLOGICAL DATA

AU - Буре, Владимир Мансурович

AU - Митрофанова, Ольга Александровна

PY - 2017

Y1 - 2017

U2 - 10.12988/ces.2017.611175

DO - 10.12988/ces.2017.611175

M3 - Article

VL - 10

SP - 157

EP - 163

JO - Contemporary Engineering Sciences

JF - Contemporary Engineering Sciences

SN - 1313-6569

IS - 4

ER -

ID: 9298528