Yu et al. (2025) Synergistic Fusion of Sentinel-1 and Sentinel-2 for Global LULC Mapping: The Multimodal Network LULC-Former and Dynamic World+ Dataset

Identification

• Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• Year: 2025
• Date: 2025-12-09
• Authors: Hao Yu, Gen Li, Haoyu Liu, Songyan Zhu, Jian Xu, Wenquan Dong, Changjian Li, Jiancheng Shi
• DOI: 10.1109/jstars.2025.3641788

Research Groups

Not provided in the given text.

Short Summary

This paper introduces LULC-Former, a multimodal network for global Land Use/Land Cover (LULC) mapping, leveraging the synergistic fusion of Sentinel-1 and Sentinel-2 data, and presents the associated Dynamic World+ dataset.

Objective

• To develop a multimodal network (LULC-Former) for global Land Use/Land Cover (LULC) mapping by synergistically fusing Sentinel-1 and Sentinel-2 satellite data.
• To create and present the Dynamic World+ dataset.

Study Configuration

• Spatial Scale: Global
• Temporal Scale: Not provided in the given text.

Methodology and Data

• Models used: LULC-Former (a multimodal network)
• Data sources: Sentinel-1 satellite data, Sentinel-2 satellite data, Dynamic World+ dataset.

Main Results

Not provided in the given text.

Contributions

• Development of the LULC-Former multimodal network for synergistic fusion of Sentinel-1 and Sentinel-2 data for LULC mapping.
• Creation and presentation of the Dynamic World+ dataset.
• Advancement in global LULC mapping techniques through multimodal data fusion.

Funding

Not provided in the given text.

Citation

@article{Yu2025Synergistic,
  author = {Yu, Hao and Li, Gen and Liu, Haoyu and Zhu, Songyan and Xu, Jian and Dong, Wenquan and Li, Changjian and Shi, Jiancheng},
  title = {Synergistic Fusion of Sentinel-1 and Sentinel-2 for Global LULC Mapping: The Multimodal Network LULC-Former and Dynamic World+ Dataset},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year = {2025},
  doi = {10.1109/jstars.2025.3641788},
  url = {https://doi.org/10.1109/jstars.2025.3641788}
}