Yao et al. (2026) A Novel Single-Channel Algorithm for Land Surface Reflectance Retrieval From FengYun-4B AGRI Daytime Mid-Infrared Data

Identification

• Journal: IEEE Transactions on Geoscience and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Qian Yao, Z. Li, Li Li, Zihan Zhang, Chao Fan, Huan Gu, Zhe Ji
• DOI: 10.1109/tgrs.2026.3652232

Research Groups

[Information not available in the provided text.]

Short Summary

This paper introduces a novel single-channel algorithm designed for the accurate retrieval of land surface reflectance using daytime mid-infrared data acquired from the FengYun-4B AGRI satellite.

Objective

• Develop and apply a novel single-channel algorithm for land surface reflectance retrieval from FengYun-4B AGRI daytime mid-infrared data.

Study Configuration

• Spatial Scale: [Not specified in the provided text.]
• Temporal Scale: [Not specified in the provided text.]

Methodology and Data

• Models used: A novel single-channel algorithm (specific name not provided in the title).
• Data sources: FengYun-4B AGRI Daytime Mid-Infrared 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{Yao2026Novel,
  author = {Yao, Qian and Li, Z. and Li, Li and Zhang, Zihan and Fan, Chao and Gu, Huan and Ji, Zhe and Li, Z.},
  title = {A Novel Single-Channel Algorithm for Land Surface Reflectance Retrieval From FengYun-4B AGRI Daytime Mid-Infrared Data},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year = {2026},
  doi = {10.1109/tgrs.2026.3652232},
  url = {https://doi.org/10.1109/tgrs.2026.3652232}
}