LÜ et al. (2026) A novel active-microwave method to estimate 1 km vegetation optical depth over the Heihe River Basin

Identification

• Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Zhixuan LÜ, Lei Fan, Gabrielle De Lannoy, Xiaojing Bai, Xiangzhuo Liu, Zanpin Xing, Zhilan Zhou, Jiangyuan Zeng, Frédéric Frappart, Jian Peng, Tao Che, Liying Geng, Xiaojun Li, Xin Li, Nicolas Baghdadi, Jean-Pierre Wigneron
• DOI: 10.1109/jstars.2026.3673725

Research Groups

Not specified in the provided text.

Short Summary

This paper introduces a novel active-microwave method designed to estimate vegetation optical depth at a 1 km spatial resolution. The method is applied specifically over the Heihe River Basin.

Objective

• To develop and apply a novel active-microwave method for estimating 1 km vegetation optical depth over the Heihe River Basin.

Study Configuration

• Spatial Scale: 1 km resolution, covering the Heihe River Basin.
• Temporal Scale: Not specified in the provided text.

Methodology and Data

• Models used: A novel active-microwave method is employed; specific model names are not detailed in the provided text.
• Data sources: Not specified in the provided text.

Main Results

Not specified in the provided text.

Contributions

• Introduction of a novel active-microwave method for vegetation optical depth estimation.
• Application of this method to provide 1 km vegetation optical depth estimates over the Heihe River Basin.

Funding

Not specified in the provided text.

Citation

@article{LÜ2026novel,
  author = {LÜ, Zhixuan and Fan, Lei and Lannoy, Gabrielle De and Bai, Xiaojing and Liu, Xiangzhuo and Xing, Zanpin and Zhou, Zhilan and Zeng, Jiangyuan and Frappart, Frédéric and Peng, Jian and Che, Tao and Geng, Liying and Li, Xiaojun and Li, Xin and Baghdadi, Nicolas and Wigneron, Jean-Pierre},
  title = {A novel active-microwave method to estimate 1 km vegetation optical depth over the Heihe River Basin},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year = {2026},
  doi = {10.1109/jstars.2026.3673725},
  url = {https://doi.org/10.1109/jstars.2026.3673725}
}