@misc{https://doi.org/10.5281/zenodo.3490223,<br/><span class="tab"></span>
  doi = {10.5281/ZENODO.3490223},<br/><span class="tab"></span>
  url = {https://zenodo.org/record/3490223},<br/><span class="tab"></span>
  author = {Meijer,<br/><span class="tab"></span> Christiaan and Goncalves,<br/><span class="tab"></span> Romulo and Renaud,<br/><span class="tab"></span> Nico and Andela,<br/><span class="tab"></span> Bouwe and Dzigan,<br/><span class="tab"></span> Yifat and Diblen,<br/><span class="tab"></span> Faruk and Ranguelova,<br/><span class="tab"></span> Elena and van den Oord,<br/><span class="tab"></span> Gijs and Koma,<br/><span class="tab"></span> Zsófia},<br/><span class="tab"></span>
  keywords = {airborne laser scanning,<br/><span class="tab"></span> machine learning,<br/><span class="tab"></span> point cloud,<br/><span class="tab"></span> digital terrain map},<br/><span class="tab"></span>
  title = {Laserchicken: toolkit for ALS point clouds},<br/><span class="tab"></span>
  publisher = {Zenodo},<br/><span class="tab"></span>
  year = {2019},<br/><span class="tab"></span>
  copyright = {Apache License 2.0}
}