Improving methods to predict aboveground biomass of Pinus sylvestris in urban forest using UFB model, LiDAR and digital hemispherical photography
Artykuł naukowy w czasopiśmie recenzowanyCzasopismo: URBAN FORESTRY & URBAN GREENING (ISSN: 1618-8667)
Współautorzy: Ihor Kozak, Mikhail Popov, Igor Semko, Myroslava Mylenka
Rok wydania: 2023
Tom: 79
Numer czasopisma: a127793
Strony od-do: 1-11
Streszczenie: .
Słowa kluczowe: .
DOI: 10.1016/j.ufug.2022.127793
Cytowanie w formacie Bibtex:
@article{1,
author = "Iryna Kozak-Balaniuk and Ihor Kozak and Mikhail Popov and Igor Semko and Myroslava Mylenka",
title = "Improving methods to predict aboveground biomass of Pinus sylvestris in urban forest using UFB model, LiDAR and digital hemispherical photography",
journal = "URBAN FORESTRY & URBAN GREENING",
year = "2023",
number = "a127793",
pages = "1-11"
}
Cytowanie w formacie APA:
Kozak-Balaniuk, I. and Ihor Kozak and Mikhail Popov and Igor Semko and Myroslava Mylenka(2023). Improving methods to predict aboveground biomass of Pinus sylvestris in urban forest using UFB model, LiDAR and digital hemispherical photography. URBAN FORESTRY & URBAN GREENING, a127793, 1-11.