Wen et al. (2026) Enhancing Soil Salinity Mapping in Cropland by Integrating Agronomic Features with Remote Sensing

Identification

• Journal: IEEE Transactions on Geoscience and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Caiyun Wen, Miao Lu, Yingqiang Song, Minyu Li, Ying Shi, Wei Wu
• DOI: 10.1109/tgrs.2026.3674510

Research Groups

[Not specified]

Short Summary

This paper aims to enhance soil salinity mapping in cropland by integrating agronomic features with remote sensing.

Objective

• To improve the accuracy and reliability of soil salinity mapping in agricultural areas.
• To explore the integration of remote sensing data and agronomic characteristics for better soil salinity assessment.

Study Configuration

• Spatial Scale: Cropland environments.
• Temporal Scale: Not specified.

Methodology and Data

• Models used: [Not specified]
• Data sources: Remote sensing data, agronomic features.

Main Results

[Not specified]

Contributions

[Not specified]

Funding

[Not specified]

Citation

@article{Wen2026Enhancing,
  author = {Wen, Caiyun and Lu, Miao and Song, Yingqiang and Li, Minyu and Shi, Ying and Wu, Wei},
  title = {Enhancing Soil Salinity Mapping in Cropland by Integrating Agronomic Features with Remote Sensing},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year = {2026},
  doi = {10.1109/tgrs.2026.3674510},
  url = {https://doi.org/10.1109/tgrs.2026.3674510}
}