Xiong et al. (2026) Evaluating Soil Surface Scattering Models: Perspectives From Polarimetric P-, L-, and S-Band SAR Observations

Identification

• Journal: IEEE Transactions on Geoscience and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Ziwei Xiong, Jeffrey P. Walker, Liujun Zhu, Brian Ng, N Ye, Xiaoling Wu, Lihang Zhou, Luisa F. White Murillo, James Hills, Mahta Moghaddam, Simon H. Yueh
• DOI: 10.1109/tgrs.2026.3663356

Research Groups

Not available in the provided text.

Short Summary

This paper evaluates the performance of various soil surface scattering models by comparing them against polarimetric P-, L-, and S-band Synthetic Aperture Radar (SAR) observations.

Objective

• To evaluate the accuracy and applicability of different soil surface scattering models using multi-frequency polarimetric SAR data.

Study Configuration

• Spatial Scale: Likely regional or local, corresponding to SAR observation footprints. Specific scale not detailed in provided text.
• Temporal Scale: Specific observation period not detailed in provided text.

Methodology and Data

• Models used: Soil surface scattering models (specific models not detailed in provided text).
• Data sources: Polarimetric P-band, L-band, and S-band Synthetic Aperture Radar (SAR) observations (specific sensors/platforms not detailed in provided text).

Main Results

Not available in the provided text.

Contributions

Not available in the provided text.

Funding

Not available in the provided text.

Citation

@article{Xiong2026Evaluating,
  author = {Xiong, Ziwei and Walker, Jeffrey P. and Zhu, Liujun and Ng, Brian and Ye, N and Wu, Xiaoling and Zhou, Lihang and Murillo, Luisa F. White and Hills, James and Moghaddam, Mahta and Yueh, Simon H.},
  title = {Evaluating Soil Surface Scattering Models: Perspectives From Polarimetric P-, L-, and S-Band SAR Observations},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year = {2026},
  doi = {10.1109/tgrs.2026.3663356},
  url = {https://doi.org/10.1109/tgrs.2026.3663356}
}