Zhang et al. (2025) An Automated Method for Regional-Scale Agricultural Soil Moisture Retrieval Using ISMN Measurements and Sentinel Data in Google Earth Engine

Identification

• Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• Year: 2025
• Date: 2025-12-10
• Authors: Zhaoxu Zhang, Lei Qian, Yuchen Qiu, Zhenwei Shi, Yuanheng Sun, Wei Xu
• DOI: 10.1109/jstars.2025.3642244

Research Groups

[Not specified in the provided text.]

Short Summary

This paper presents an automated method for retrieving agricultural soil moisture at a regional scale, leveraging ISMN measurements and Sentinel satellite data within the Google Earth Engine platform.

Objective

• To develop an automated method for regional-scale agricultural soil moisture retrieval.

Study Configuration

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

Methodology and Data

• Models used: An "Automated Method" is developed; specific model name not provided. Google Earth Engine is used as the processing platform.
• Data sources: ISMN (International Soil Moisture Network) measurements, Sentinel satellite data.

Main Results

[Not specified in the provided text.]

Contributions

[Not specified in the provided text.]

Funding

[Not specified in the provided text.]

Citation

@article{Zhang2025Automated,
  author = {Zhang, Zhaoxu and Qian, Lei and Qiu, Yuchen and Shi, Zhenwei and Sun, Yuanheng and Xu, Wei},
  title = {An Automated Method for Regional-Scale Agricultural Soil Moisture Retrieval Using ISMN Measurements and Sentinel Data in Google Earth Engine},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year = {2025},
  doi = {10.1109/jstars.2025.3642244},
  url = {https://doi.org/10.1109/jstars.2025.3642244}
}