Xu et al. (2026) Monitoring the 2024 Abrupt Flood Event in East Dongting Lake via Deep Learning and Multisource Remote Sensing Data

Identification

• Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Z. S. Xu, Dianwei Shao, Suhui Wu, Yu Cai, Haili Li, Lichao Zhuang, Yan Xu, Yubin Fan, Chang-Qing Ke
• DOI: 10.1109/jstars.2026.3653452

Research Groups

[Information not available in the provided text.]

Short Summary

This paper focuses on monitoring an abrupt flood event that occurred in East Dongting Lake in 2024, employing deep learning methodologies and integrating multisource remote sensing data.

Objective

• To monitor the 2024 abrupt flood event in East Dongting Lake using deep learning and multisource remote sensing data.

Study Configuration

• Spatial Scale: East Dongting Lake, China.
• Temporal Scale: The 2024 abrupt flood event.

Methodology and Data

• Models used: Deep Learning.
• Data sources: Multisource Remote Sensing Data.

Main Results

[Information not available in the provided text.]

Contributions

[Information not available in the provided text.]

Funding

[Information not available in the provided text.]

Citation

@article{Xu2026Monitoring,
  author = {Xu, Z. S. and Shao, Dianwei and Wu, Suhui and Cai, Yu and Li, Haili and Zhuang, Lichao and Xu, Yan and Fan, Yubin and Ke, Chang-Qing},
  title = {Monitoring the 2024 Abrupt Flood Event in East Dongting Lake via Deep Learning and Multisource Remote Sensing Data},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year = {2026},
  doi = {10.1109/jstars.2026.3653452},
  url = {https://doi.org/10.1109/jstars.2026.3653452}
}