alphaXiv

Explore

State of the Art

Sign In

Labs

Feedback

Browser Extension

We're hiring
PaperBlogResources

EUNIS Habitat Maps: Enhancing Thematic and Spatial Resolution for Europe through Machine Learning

BibTex
Copy
@misc{si-moussi2025eunishabitatmaps,
      title={EUNIS Habitat Maps: Enhancing Thematic and Spatial Resolution for Europe  through Machine Learning},
      author={Sara Si-Moussi and Wilfried Thuiller and Wanda De Keersmaecker and Jens-Christian Svenning and Stephan Hennekens and Sander Mücher and Milan Chytrý and Emiliano Agrillo and Fabio Attorre and Idoia Biurrun and Gianmaria Bonari and Andraž Čarni and Renata Ćušterevska and Tetiana Dziuba and Klaus Ecker and Behlül Güler and Ute Jandt and Borja Jiménez-Alfaro and Jonathan Lenoir and Grzegorz Swacha},
      year={2025},
      eprint={2506.13649},
      archivePrefix={arXiv},
      primaryClass={stat.AP},
      url={https://arxiv.org/abs/2506.13649},
}
Transform this paper into an audio lecture
Get an engaging lecture and Q&A format to quickly understand the paper in minutes, perfect for learning on the go.
Audio lecture
Q&A format