Li et al. (2026) Using Agricultural Production to Evaluate the Novel Method of Reducing the Uncertainty in GNSS-R Soil Moisture Retrieval

Identification

• Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Yifan Li, Songhua Yan, Ruonan Qiu, Jianya Gong, Wei Wang
• DOI: 10.1109/jstars.2026.3652268

Research Groups

Not available in the provided text.

Short Summary

Not available in the provided text. The paper's title suggests it evaluates a novel method for reducing uncertainty in GNSS-R soil moisture retrieval by using agricultural production data.

Objective

• Not available in the provided text. Based on the title, the principal objective is likely to evaluate a novel method designed to reduce uncertainty in Global Navigation Satellite System Reflectometry (GNSS-R) soil moisture retrieval, using agricultural production as an evaluation metric.

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: Not available in the 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{Li2026Using,
  author = {Li, Yifan and Yan, Songhua and Qiu, Ruonan and Gong, Jianya and Wang, Wei},
  title = {Using Agricultural Production to Evaluate the Novel Method of Reducing the Uncertainty in GNSS-R Soil Moisture Retrieval},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year = {2026},
  doi = {10.1109/jstars.2026.3652268},
  url = {https://doi.org/10.1109/jstars.2026.3652268}
}