%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 }