@misc{https://doi.org/10.5281/zenodo.5055631,<br/><span class="tab"></span>
  doi = {10.5281/ZENODO.5055631},<br/><span class="tab"></span>
  url = {https://zenodo.org/record/5055631},<br/><span class="tab"></span>
  author = {Benhammou,<br/><span class="tab"></span> Yassir and Alcaraz-Segura,<br/><span class="tab"></span> Domingo and Guirado,<br/><span class="tab"></span> Emilio and Khaldi,<br/><span class="tab"></span> Rohaifa and Tabik,<br/><span class="tab"></span> Siham},<br/><span class="tab"></span>
  keywords = {Deep learning,<br/><span class="tab"></span> Google Earth Engine,<br/><span class="tab"></span> land cover,<br/><span class="tab"></span> Land cover and Land use mapping,<br/><span class="tab"></span> land use,<br/><span class="tab"></span> Remote sensing,<br/><span class="tab"></span> RGB Image Dataset,<br/><span class="tab"></span> Sentinel-2,<br/><span class="tab"></span> biodiversity},<br/><span class="tab"></span>
  language = {en},<br/><span class="tab"></span>
  title = {Sentinel2GlobalLULC: A dataset of Sentinel-2 georeferenced RGB imagery annotated for global land use/land cover mapping with deep learning (License CC BY 4.0)},<br/><span class="tab"></span>
  publisher = {Zenodo},<br/><span class="tab"></span>
  year = {2022},<br/><span class="tab"></span>
  copyright = {Creative Commons Attribution 4.0 International}
}