Zeng et al. (2026) HADA: A Heterogeneity-Aware Downscaling Algorithm for Global High-Resolution Passive Microwave Soil Moisture Mapping

Identification

• Journal: IEEE Transactions on Geoscience and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Jiangyuan Zeng, Panshan Wang, Jiaming Rong, K. S. Chen, Xiangjin Meng, C. Zhang, Hongliang Ma, Pengfei Shi, Haiyun Bi
• DOI: 10.1109/tgrs.2026.3670177

Research Groups

Not explicitly stated in the provided text.

Short Summary

The paper introduces HADA, a heterogeneity-aware downscaling algorithm, for generating global high-resolution soil moisture maps from passive microwave observations.

Objective

• To develop and apply HADA, a novel heterogeneity-aware downscaling algorithm, to produce global high-resolution soil moisture maps using passive microwave data.

Study Configuration

• Spatial Scale: Global; High-Resolution
• Temporal Scale: Not explicitly stated in the provided text.

Methodology and Data

• Models used: HADA (Heterogeneity-Aware Downscaling Algorithm)
• Data sources: Passive microwave soil moisture observations (as input for downscaling)

Main Results

Not explicitly stated in the provided text.

Contributions

• Development of HADA, a novel heterogeneity-aware downscaling algorithm, enabling global high-resolution mapping of passive microwave soil moisture.

Funding

Not explicitly stated in the provided text.

Citation

@article{Zeng2026HADA,
  author = {Zeng, Jiangyuan and Wang, Panshan and Rong, Jiaming and Chen, K. S. and Meng, Xiangjin and Zhang, C. and Ma, Hongliang and Shi, Pengfei and Bi, Haiyun},
  title = {HADA: A Heterogeneity-Aware Downscaling Algorithm for Global High-Resolution Passive Microwave Soil Moisture Mapping},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year = {2026},
  doi = {10.1109/tgrs.2026.3670177},
  url = {https://doi.org/10.1109/tgrs.2026.3670177}
}