DENETHOR: The DynamicEarthNET dataset for Harmonized, inter-Operable, analysis-Ready, daily crop monitoring from space

Lukas Kondmann, Aysim Toker, Marc Rußwurm, Andrés Camero, Devis Peressuti, Grega Milcinski, Pierre-Philippe Mathieu, Nicolas Longépé, Timothy Davis, Giovanni Marchisio, Laura Leal-Taixé, Xiaoxiang Zhu. DENETHOR: The DynamicEarthNET dataset for Harmonized, inter-Operable, analysis-Ready, daily crop monitoring from space. In Joaquin Vanschoren, Sai Kit Yeung, editors, Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, NeurIPS Datasets and Benchmarks 2021, December 2021, virtual. 2021. [doi]

@inproceedings{KondmannTRCPMML21,
  title = {DENETHOR: The DynamicEarthNET dataset for Harmonized, inter-Operable, analysis-Ready, daily crop monitoring from space},
  author = {Lukas Kondmann and Aysim Toker and Marc Rußwurm and Andrés Camero and Devis Peressuti and Grega Milcinski and Pierre-Philippe Mathieu and Nicolas Longépé and Timothy Davis and Giovanni Marchisio and Laura Leal-Taixé and Xiaoxiang Zhu},
  year = {2021},
  url = {https://datasets-benchmarks-proceedings.neurips.cc/paper/2021/hash/5b8add2a5d98b1a652ea7fd72d942dac-Abstract-round2.html},
  researchr = {https://researchr.org/publication/KondmannTRCPMML21},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, NeurIPS Datasets and Benchmarks 2021, December 2021, virtual},
  editor = {Joaquin Vanschoren and Sai Kit Yeung},
}