S1S2-Water: A global dataset for semantic segmentation of water bodies from Sentinel-1 and Sentinel-2 satellite images
- DOI
- 10.5281/zenodo.11278238
- Published
- 2024
- Container
- Not recorded
- Publisher
- Zenodo
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.5281/zenodo.11278238,
title = {S1S2-Water: A global dataset for semantic segmentation of water bodies from Sentinel-1 and Sentinel-2 satellite images},
author = {Marc Wieland and Florian Fichtner and Sandro Martinis and Groth, Sandro and Christian Krullikowski and Simon Plank and Mahdi Motagh},
year = {2024},
doi = {10.5281/zenodo.11278238},
url = {https://doi.org/10.5281/zenodo.11278238}
}RIS
TY - JOUR TI - S1S2-Water: A global dataset for semantic segmentation of water bodies from Sentinel-1 and Sentinel-2 satellite images AU - Marc Wieland AU - Florian Fichtner AU - Sandro Martinis AU - Groth, Sandro AU - Christian Krullikowski AU - Simon Plank AU - Mahdi Motagh PY - 2024 DO - 10.5281/zenodo.11278238 UR - https://doi.org/10.5281/zenodo.11278238 ER -
APA
Wieland, M., Fichtner, F., Martinis, S., Sandro, G., Krullikowski, C., Plank, S., & Motagh, M. (2024). S1S2-Water: A global dataset for semantic segmentation of water bodies from Sentinel-1 and Sentinel-2 satellite images. https://doi.org/10.5281/zenodo.11278238