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1 Ergebnisse
1
Using automated vegetation cover estimation from close-rang..:
R. Niederheiser
;
M. Winkler
;
V. Di Cecco
...
http://dx.doi.org/10.1080/15481603.2020.1859264. , 2021
Link:
https://doi.org/10.1080/15481603.2020.1859264
RT Journal T1
Using automated vegetation cover estimation from close-range photogrammetric point clouds to compare vegetation location properties in mountain terrain
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:b0c9acc146874b0e913d5693367902d2&Exemplar=1&LAN=DE A1 R. Niederheiser A1 M. Winkler A1 V. Di Cecco A1 B. Erschbamer A1 R. Fernández A1 C. Geitner A1 Hannah Hofbauer A1 C. Kalaitzidis A1 Barbara Klingraber A1 A. Lamprecht A1 J. Lorite A1 L. Nicklas A1 P. Nyktas A1 H. Pauli A1 A. Stanisci A1 K. Steinbauer A1 J.-P. Theurillat A1 P. Vittoz A1 M. Rutzinger PB Taylor & Francis Group 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 K1 Mathematical geography. Cartography K1 GA1-1776 K1 Environmental sciences K1 GE1-350 JF http://dx.doi.org/10.1080/15481603.2020.1859264 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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