laserchicken/CITATION.cff at master · eEcoLiDAR/laserchicken · GitHub

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# This CITATION.cff file was generated with cffinit.

cff-version: 1.2.0
title: 'Laserchicken: toolkit for ALS point clouds'
message: >-
  If you use this software, please cite it using these
  metadata.
type: software
authors:
  - affiliation: Netherlands eScience Center
    family-names: Meijer
    given-names: Christiaan
  - affiliation: Netherlands eScience Center
    family-names: Goncalves
    given-names: Romulo
  - affiliation: Netherlands eScience Center
    family-names: Renaud
    given-names: Nico
  - affiliation: Netherlands eScience Center
    family-names: Andela
    given-names: Bouwe
  - affiliation: Netherlands eScience Center
    family-names: Dzigan
    given-names: Yifat
  - affiliation: Netherlands eScience Center
    family-names: Diblen
    given-names: Faruk
  - affiliation: Netherlands eScience Center
    family-names: Ranguelova
    given-names: Elena
  - affiliation: Netherlands eScience Center
    family-names: Oord
    given-names: Gijs
    name-particle: van den
  - affiliation: Netherlands eScience Center
    family-names: Grootes
    given-names: Meiert W.
  - affiliation: Netherlands eScience Center
    family-names: Nattino
    given-names: Francesco
  - affiliation: Netherlands eScience Center
    family-names: Ku
    given-names: Ou
  - affiliation: >-
      Institute for Biodiversity and Ecosystem Dynamics,
      University of Amsterdam
    family-names: Koma
    given-names: Zsófia
identifiers:
  - type: doi
    value: 10.5281/zenodo.1219422
    description: Zenodo
abstract: >-
  Laserchicken is a toolkit for handling point clouds
  created using airborne laser scanning (ALS). Find
  neighboring points in your point cloud and describe them
  as feature values. Read our user manual and our (very
  modest) tutorial.
keywords:
  - airborne laser scanning
  - machine learning
  - point cloud
  - digital terrain map
license: Apache-2.0
version: 0.8.1
date-released: '2026-03-03'