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GIScience & Remote Sensing / Using automated vegetation cov..:

Niederheiser, R ; Winkler, M ; Cecco, V. D...
vignette : https://diglib.uibk.ac.at/titlepage/urn/urn:nbn:at:at-ubi:3-16646/128. , 2021

Link: https://doi.org/10.1080/15481603.2020.1859264

RT Journal
T1 <Title>GIScience & Remote Sensing / Using automated vegetation cover estimation from close-range photogrammetric pointclouds to compare vegetation location properties in mountain terrain</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftunivinnsbruck:oai:diglib.uibk.ac.at_:5922903&Exemplar=1&LAN=DE
				
A1 Niederheiser, R
A1 Winkler, M
A1 Cecco, V. D
A1 Erschbamer, B
A1 Fernández, R
A1 Geitner, C
A1 Hofbauer, H
A1 Kalaitzidis, C
A1 Klingraber, B
A1 Lamprecht, A
A1 Lorite, J
A1 Nicklas, L
A1 Nyktas, P
A1 Pauli, H
A1 Stanisci, A
A1 Steinbauer, K
A1 Theurillat, J.-P
A1 Vittoz, P
A1 Rutzinger, M
PB Taylor & Francis
YR 2021
K1 high-mountain vegetation
K1 vegetation stand properties
K1 topographic parameters
K1 3D point cloud processing
K1 random forest
K1 linear mixed-effects model
JF vignette : https://diglib.uibk.ac.at/titlepage/urn/urn:nbn:at:at-ubi:3-16646/128
LK http://dx.doi.org/https://doi.org/10.1080/15481603.2020.1859264
DO https://doi.org/10.1080/15481603.2020.1859264
SF ELIB - SuUB Bremen

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