Gao et al. (2026) Method for Reconstruction of Hourly ~1 km All-Weather Land Surface Temperature from FY-4A Geostationary Satellite Observations

Identification

• Journal: IEEE Transactions on Geoscience and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Han Gao, Yi Chen, Keran Li, Ji Zhou, Haiping Xia, Weizhen Ji
• DOI: 10.1109/tgrs.2026.3673743

Research Groups

Not available in the provided text.

Short Summary

This paper proposes a method for reconstructing hourly, approximately 1 km resolution, all-weather land surface temperature using observations from the FY-4A geostationary satellite.

Objective

• To develop a method for reconstructing hourly, all-weather land surface temperature at approximately 1 km spatial resolution using FY-4A geostationary satellite observations.

Study Configuration

• Spatial Scale: Approximately 1 km
• Temporal Scale: Hourly

Methodology and Data

• Models used: Not available in the provided text.
• Data sources: FY-4A Geostationary Satellite Observations

Main Results

Not available in the provided text.

Contributions

Not available in the provided text.

Funding

Not available in the provided text.

Citation

@article{Gao2026Method,
  author = {Gao, Han and Chen, Yi and Li, Keran and Zhou, Ji and Xia, Haiping and Ji, Weizhen},
  title = {Method for Reconstruction of Hourly ~1 km All-Weather Land Surface Temperature from FY-4A Geostationary Satellite Observations},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year = {2026},
  doi = {10.1109/tgrs.2026.3673743},
  url = {https://doi.org/10.1109/tgrs.2026.3673743}
}