Qin et al. (2026) Soil Moisture Retrieval Based on Multi-Temporal Dual-Polarization Brightness Temperature Parameterization

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Remote Sensing
• Year: 2026
• Date: 2026-09-07
• Authors: Xiangdong Qin, Zhiguo Pang, Jingxuan Lu, June Fu, Minghan Sun, Zhuoyue Zhou
• DOI: 10.3390/rs18173048

Research Groups

• Institute of Remote Sensing Science and Engineering, Shanghai Jiao Tong University
• State Key Laboratory of Hydroscience and Engineering, Tsinghua University

Short Summary

This study proposes a method to jointly constrain key parameters of the passive microwave soil moisture retrieval model using multi-temporal brightness temperature observations, improving retrieval accuracy by accounting for variations in surface conditions.

Objective

• Investigate the feasibility of using multi-temporal brightness temperature constraint for passive microwave soil moisture retrieval and determining key parameters in the forward model.

Study Configuration

• Spatial Scale: Regional scale (Shandian River Basin)
• Temporal Scale: Multi-temporal (2019 to 2024)

Methodology and Data

• Models used: Passive microwave soil moisture retrieval model with joint constraints on vegetation single-scattering albedo (ω) and soil surface roughness parameter (rou)
• Data sources: SMAP SPL3SMP brightness temperature data, ground-based observations

Main Results

• The proposed method achieves improved retrieval accuracy compared to existing products, with an overall RMSE of 0.0678 and Bias of -0.0453.
• Spatial analysis demonstrates consistent retrieved soil moisture patterns with the general spatial distribution characteristics of the study area.

Contributions

• Provides a new technical approach for determining key parameters in the forward model, improving retrieval accuracy by accounting for variations in surface conditions.
• Demonstrates good feasibility for passive microwave soil moisture retrieval and provides clearer differentiation among regions with different moisture conditions compared to existing products.

Funding

• National Natural Science Foundation of China (Grant No. 51879206)
• Shanghai Municipal Education Commission - Shanghai Joint Research Fund (Grant No. SDCJ2018ZDBM02)

Citation

@article{Qin2026Soil,
  author = {Qin, Xiangdong and Pang, Zhiguo and Lu, Jingxuan and Fu, June and Sun, Minghan and Zhou, Zhuoyue},
  title = {Soil Moisture Retrieval Based on Multi-Temporal Dual-Polarization Brightness Temperature Parameterization},
  journal = {Remote Sensing},
  year = {2026},
  doi = {10.3390/rs18173048},
  url = {https://doi.org/10.3390/rs18173048}
}