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%0 Journal Article
%1 Fassnacht_2017
%A Fassnacht, Fabian Ewald
%A Mangold, Daniel
%A Schäfer, Jannika
%A Immitzer, Markus
%A Kattenborn, Teja
%A Koch, Barbara
%A Latifi, Hooman
%D 2017
%I Oxford University Press (OUP)
%J Forestry: An International Journal of Forest Research
%K article Latifi LSFE
%P 1-19
%R 10.1093/forestry/cpx014
%T Estimating stand density, biomass and tree species from very high resolution stereo-imagery – towards an all-in-one sensor for forestry applications?
%U https://doi.org/10.1093%2Fforestry%2Fcpx014
@article{Fassnacht_2017,
added-at = {2020-09-11T12:04:50.000+0200},
author = {Fassnacht, Fabian Ewald and Mangold, Daniel and Schäfer, Jannika and Immitzer, Markus and Kattenborn, Teja and Koch, Barbara and Latifi, Hooman},
biburl = {https://www.bibsonomy.org/bibtex/22483fbc74c48ac69e996a9f15fdf8a80/earthobs_uniwue},
doi = {10.1093/forestry/cpx014},
interhash = {e13e804d0671c0388d26070f63173e24},
intrahash = {2483fbc74c48ac69e996a9f15fdf8a80},
journal = {Forestry: An International Journal of Forest Research},
keywords = {article Latifi LSFE},
month = mar,
pages = {1-19},
publisher = {Oxford University Press ({OUP})},
timestamp = {2020-11-18T22:08:33.000+0100},
title = {Estimating stand density, biomass and tree species from very high resolution stereo-imagery {\textendash} towards an all-in-one sensor for forestry applications?},
url = {https://doi.org/10.1093%2Fforestry%2Fcpx014},
year = 2017
}