Zheng et al. (2026) Development of a Hybrid SW-TES Method for Simultaneous Land Surface Temperature and Emissivity Retrieval From Landsat 8/9 Thermal Infrared Data

Identification

• Journal: IEEE Transactions on Geoscience and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Xiaopo Zheng, Zhongliang Zhou, Tianxing Wang, Jie Pei
• DOI: 10.1109/tgrs.2026.3671300

Research Groups

Not provided in the source text.

Short Summary

This paper describes the development of a hybrid Split-Window (SW) and Temperature and Emissivity Separation (TES) method designed for the simultaneous retrieval of Land Surface Temperature (LST) and emissivity using thermal infrared data from Landsat 8 and 9 satellites.

Objective

• To develop a novel hybrid Split-Window (SW) and Temperature and Emissivity Separation (TES) method for the simultaneous retrieval of Land Surface Temperature (LST) and emissivity from Landsat 8/9 thermal infrared data.

Study Configuration

• Spatial Scale: Implied by Landsat 8/9 data, typically covering regional to local scales per scene (e.g., 185 km x 185 km scenes with 30 m spatial resolution for thermal bands).
• Temporal Scale: Implied by Landsat 8/9 revisit frequency (approximately 8 days when combined).

Methodology and Data

• Models used: Hybrid Split-Window (SW) and Temperature and Emissivity Separation (TES) method.
• Data sources: Landsat 8/9 Thermal Infrared (TIR) data.

Main Results

Not provided in the source text.

Contributions

Not provided in the source text.

Funding

Not provided in the source text.

Citation

@article{Zheng2026Development,
  author = {Zheng, Xiaopo and Zhou, Zhongliang and Wang, Zhenyu and Wang, Tianxing and Pei, Jie},
  title = {Development of a Hybrid SW-TES Method for Simultaneous Land Surface Temperature and Emissivity Retrieval From Landsat 8/9 Thermal Infrared Data},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year = {2026},
  doi = {10.1109/tgrs.2026.3671300},
  url = {https://doi.org/10.1109/tgrs.2026.3671300}
}