Wang et al. (2025) Prediction of Net Longwave Radiation and Turbulent Fluxes Using Remote-Sensing-Derived Net Shortwave Radiation for Different Land Cover Types

Identification

• Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• Year: 2025
• Date: 2025-12-22
• Authors: Jianke Wang, Lei Lu, Xiaoming Zhou, Guanghui Huang, Zihan Chen
• DOI: 10.1109/jstars.2025.3646720

Research Groups

Not available in the provided text.

Short Summary

This paper aims to predict net longwave radiation and turbulent fluxes across various land cover types by utilizing net shortwave radiation derived from remote sensing. The main findings are not available in the provided text.

Objective

• To predict net longwave radiation and turbulent fluxes using remote-sensing-derived net shortwave radiation for different land cover types.

Study Configuration

• Spatial Scale: Not available in the provided text.
• Temporal Scale: Not available in the provided text.

Methodology and Data

• Models used: Not available in the provided text.
• Data sources: Remote sensing (for net shortwave radiation).

Main Results

Not available in the provided text.

Contributions

Not available in the provided text.

Funding

Not available in the provided text.

Citation

@article{Wang2025Prediction,
  author = {Wang, Jianke and Lu, Lei and Zhou, Xiaoming and Huang, Guanghui and Chen, Zihan},
  title = {Prediction of Net Longwave Radiation and Turbulent Fluxes Using Remote-Sensing-Derived Net Shortwave Radiation for Different Land Cover Types},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year = {2025},
  doi = {10.1109/jstars.2025.3646720},
  url = {https://doi.org/10.1109/jstars.2025.3646720}
}