Jiang, Xin https://orcid.org/0000-0003-4141-1538
Zeng, Zhenzhong https://orcid.org/0000-0001-6851-2756
Funding for this research was provided by:
Natural Science Foundation of China - United Nations Environment Programme (42361144001)
National Natural Science Foundation of China (42071022)
Shenzhen Science and Technology Project for Sustainable Development in Special Innovation (KCXFZ20230731093403008)
Guangdong Basic and Applied Basic Research Foundation (2022A1515240070)
Shenzhen Key Laboratory of Precision Measurement and Early Warning Technology for Urban Environmental Health Risks (ZDSYS20220606100604008)
start-up and high-level special funds provided by the Southern University of Science and Technology (no. 29/Y01296602; 29/Y01296122; 29/Y01296222; G030290001)
Article Title: Empowering multi-source SAR Flood mapping with unsupervised learning
Journal Title: Environmental Research Letters
Article Type: paper
Copyright Information: © 2024 The Author(s). Published by IOP Publishing Ltd
Publication dates
Date Received: 2024-09-30
Date Accepted: 2024-11-19
Online publication date: 2024-12-06