Jin et al. (2026) A New Soil Moisture Retrieval With Considering the Underlying Surface Factors From CYGNSS

Identification

• Journal: IEEE Transactions on Geoscience and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Shuanggen Jin, Shuo Zhang, Qingyun Yan, Yan Jia, Zhounan Dong, Charafa El Rhadiouini
• DOI: 10.1109/tgrs.2026.3659582

Research Groups

Not specified in the provided text.

Short Summary

This paper introduces a novel method for retrieving soil moisture using data from the Cyclone Global Navigation Satellite System (CYGNSS), specifically by incorporating underlying surface factors into the retrieval process.

Objective

• To develop and evaluate a new soil moisture retrieval algorithm that utilizes CYGNSS observations and explicitly considers the influence of underlying surface characteristics.

Study Configuration

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

Methodology and Data

• Models used: Not specified in the provided text (likely a new retrieval algorithm).
• Data sources: Cyclone Global Navigation Satellite System (CYGNSS) data.

Main Results

Not specified in the provided text.

Contributions

Not specified in the provided text (implied to be the novel retrieval method considering underlying surface factors).

Funding

Not specified in the provided text.

Citation

@article{Jin2026New,
  author = {Jin, Shuanggen and Zhang, Shuo and Yan, Qingyun and Jia, Yan and Dong, Zhounan and Rhadiouini, Charafa El},
  title = {A New Soil Moisture Retrieval With Considering the Underlying Surface Factors From CYGNSS},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year = {2026},
  doi = {10.1109/tgrs.2026.3659582},
  url = {https://doi.org/10.1109/tgrs.2026.3659582}
}