Bai et al. (2026) A Snow Depth Retrieval Method Based on Super-Resolution Brightness Temperature Reconstruction and Multimodal Feature Synergy

Identification

• Journal: IEEE Transactions on Geoscience and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Yanan Bai, Zhen Li, Ping Zhang, Lei Huang, Haiwei Qiao, Shuo Gao, Huadong Hu
• DOI: 10.1109/tgrs.2026.3653456

## Research Groups -

Short Summary

This paper proposes a novel method for snow depth retrieval, integrating super-resolution brightness temperature reconstruction with the synergistic use of multimodal features.

Objective

• To develop and evaluate a new method for retrieving snow depth.

Study Configuration

• Spatial Scale:
• Temporal Scale:

Methodology and Data

• Models used: Super-resolution brightness temperature reconstruction, multimodal feature synergy techniques.
• Data sources: Passive microwave brightness temperature data; other unspecified multimodal features.

## Main Results -

## Contributions -

## Funding -

Citation

@article{Bai2026Snow,
  author = {Bai, Yanan and Li, Zhen and Zhang, Ping and Zeng, Jiangyuan and Huang, Lei and Qiao, Haiwei and Gao, Shuo and Hu, Huadong},
  title = {A Snow Depth Retrieval Method Based on Super-Resolution Brightness Temperature Reconstruction and Multimodal Feature Synergy},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year = {2026},
  doi = {10.1109/tgrs.2026.3653456},
  url = {https://doi.org/10.1109/tgrs.2026.3653456}
}