Zhen Hao
Resolving data gaps in global surface water monthly records through a self- supervised deep learning strategy
Hao, Zhen; Cai, Xiaobin; Ge, Yong; Foody, Giles; Li, Xinyan; Yin, Zhixiang; Du, Yun; Feng
Authors
Xiaobin Cai
Yong Ge
GILES FOODY giles.foody@nottingham.ac.uk
Professor of Geographical Information
Xinyan Li
Zhixiang Yin
Yun Du
Feng
Citation
Hao, Z., Cai, X., Ge, Y., Foody, G., Li, X., Yin, Z., Du, Y., & Feng. (in press). Resolving data gaps in global surface water monthly records through a self- supervised deep learning strategy. Journal of Hydrology,
| Journal Article Type | Article |
|---|---|
| Acceptance Date | Jun 29, 2024 |
| Deposit Date | Jul 25, 2024 |
| Journal | Journal of Hydrology |
| Print ISSN | 0022-1694 |
| Electronic ISSN | 1879-2707 |
| Publisher | Elsevier |
| Peer Reviewed | Peer Reviewed |
| Public URL | https://nottingham-repository.worktribe.com/output/37600103 |
This file is under embargo due to copyright reasons.
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