He et al. (2026) Seasonal Dependence of Topographic Effect on Mountainous Land Surface Temperature Retrieval: Insights From Landsat-8 Data

Identification

• Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Zhi-Wei He, Tang Bo-Hui, Xin-Ming Zhu, Z Q Li
• DOI: 10.1109/jstars.2026.3651291

Research Groups

Not available from the provided text.

Short Summary

This study investigates how the effect of topography on Land Surface Temperature (LST) retrieval in mountainous areas varies across different seasons, utilizing data from Landsat-8.

Objective

• To analyze and understand the seasonal dependence of topographic effects on the retrieval of Land Surface Temperature (LST) in mountainous regions.

Study Configuration

• Spatial Scale: Mountainous regions.
• Temporal Scale: Seasonal.

Methodology and Data

• Models used: Not available from the provided text (LST retrieval algorithms, atmospheric correction models, topographic correction models would typically be used).
• Data sources: Landsat-8 satellite data.

Main Results

Not available from the provided text.

Contributions

Not available from the provided text.

Funding

Not available from the provided text.

Citation

@article{He2026Seasonal,
  author = {He, Zhi-Wei and Bo-Hui, Tang and Zhu, Xin-Ming and Li, Z Q},
  title = {Seasonal Dependence of Topographic Effect on Mountainous Land Surface Temperature Retrieval: Insights From Landsat-8 Data},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year = {2026},
  doi = {10.1109/jstars.2026.3651291},
  url = {https://doi.org/10.1109/jstars.2026.3651291}
}