A large-scale, multitask, multisensory dataset for climate-aware crop monitoring in the US from 2018-2022.

Höhl A, Ofori-Ampofo S, Fernández-Torres MÁ, Kuzu RS, Zhu XX

DOI: 10.1038/s41597-026-06611-x
Published: 2026 Jan 20
Container: Scientific data
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41597-026-06611-x,
  title = {A large-scale, multitask, multisensory dataset for climate-aware crop monitoring in the US from 2018-2022.},
  author = {Höhl A and Ofori-Ampofo S and Fernández-Torres MÁ and Kuzu RS and Zhu XX},
  year = {2026},
  journal = {Scientific data},
  doi = {10.1038/s41597-026-06611-x},
  url = {https://doi.org/10.1038/s41597-026-06611-x}
}

RIS

TY  - JOUR
TI  - A large-scale, multitask, multisensory dataset for climate-aware crop monitoring in the US from 2018-2022.
AU  - Höhl A
AU  - Ofori-Ampofo S
AU  - Fernández-Torres MÁ
AU  - Kuzu RS
AU  - Zhu XX
PY  - 2026
JO  - Scientific data
DO  - 10.1038/s41597-026-06611-x
UR  - https://doi.org/10.1038/s41597-026-06611-x
ER  -

APA

A, H., S, O., MÁ, F., RS, K., & XX, Z. (2026). A large-scale, multitask, multisensory dataset for climate-aware crop monitoring in the US from 2018-2022.. Scientific data. https://doi.org/10.1038/s41597-026-06611-x

Source records

pubmed · retrieved 2026-09-27T08:53:04.545Z