Unlocking full-domain flood inundation prediction from sparse point supervision in deep-learning models
- DOI
- 10.1016/j.watres.2026.126760
- Published
- 2027-01
- Container
- Water Research
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.watres.2026.126760,
title = {Unlocking full-domain flood inundation prediction from sparse point supervision in deep-learning models},
author = {Jiqiang Xie and Yuhang Zhang and Heng Lyu and Quan J. Wang and Shengnan Fu and Chi Zhang},
year = {2027},
journal = {Water Research},
doi = {10.1016/j.watres.2026.126760},
url = {https://doi.org/10.1016/j.watres.2026.126760}
}RIS
TY - JOUR TI - Unlocking full-domain flood inundation prediction from sparse point supervision in deep-learning models AU - Jiqiang Xie AU - Yuhang Zhang AU - Heng Lyu AU - Quan J. Wang AU - Shengnan Fu AU - Chi Zhang PY - 2027 JO - Water Research DO - 10.1016/j.watres.2026.126760 UR - https://doi.org/10.1016/j.watres.2026.126760 ER -
APA
Xie, J., Zhang, Y., Lyu, H., Wang, Q. J., Fu, S., & Zhang, C. (2027). Unlocking full-domain flood inundation prediction from sparse point supervision in deep-learning models. Water Research. https://doi.org/10.1016/j.watres.2026.126760
Source records
- crossref · retrieved 2026-09-25T18:33:32.203Z