SURF: a sub-meter urban surface-cover dataset and reusable segmentation model for 50 U.S. cities
- DOI
- 10.5281/zenodo.21745104
- Published
- 2026
- Container
- Not recorded
- Publisher
- Zenodo
- Open access
- yes
Credibility signals
limited evidence Score 47/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.5281/zenodo.21745104,
title = {SURF: a sub-meter urban surface-cover dataset and reusable segmentation model for 50 U.S. cities},
author = {Huang, Jingyan and Zhang, Yibo and Mo, Weiwei and Han, Fei},
year = {2026},
doi = {10.5281/zenodo.21745104},
url = {https://doi.org/10.5281/zenodo.21745104}
}RIS
TY - JOUR TI - SURF: a sub-meter urban surface-cover dataset and reusable segmentation model for 50 U.S. cities AU - Huang, Jingyan AU - Zhang, Yibo AU - Mo, Weiwei AU - Han, Fei PY - 2026 DO - 10.5281/zenodo.21745104 UR - https://doi.org/10.5281/zenodo.21745104 ER -
APA
Jingyan, H., Yibo, Z., Weiwei, M., & Fei, H. (2026). SURF: a sub-meter urban surface-cover dataset and reusable segmentation model for 50 U.S. cities. https://doi.org/10.5281/zenodo.21745104