Yan et al. (2025) Improved Near-Real-Time Precipitation Estimation From Himawari-8 Data and Gauge Observations in the Xiangjiang River Basin Using a Three-Stage Machine Learning Framework

Identification

• Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• Year: 2025
• Date: 2025-11-17
• Authors: Shixiong Yan, Changbo Jiang, Yuannan Long, Bin Deng, Zhiyong Huang, Xinkui Wang
• DOI: 10.1109/jstars.2025.3633323

Research Groups

[Not available in provided text]

Short Summary

This paper aims to improve near-real-time precipitation estimation in the Xiangjiang River Basin by developing a three-stage machine learning framework that integrates Himawari-8 satellite data with ground-based gauge observations.

Objective

• To develop and apply a three-stage machine learning framework for improved near-real-time precipitation estimation in the Xiangjiang River Basin.

Study Configuration

• Spatial Scale: Xiangjiang River Basin
• Temporal Scale: Near-real-time

Methodology and Data

• Models used: Three-stage machine learning framework
• Data sources: Himawari-8 satellite data, Gauge observations

Main Results

[Not available in provided text]

Contributions

• Development of an advanced machine learning framework for precipitation estimation.
• Integration of Himawari-8 satellite data with gauge observations for enhanced accuracy.
• Application of the framework for near-real-time precipitation monitoring in the Xiangjiang River Basin.

Funding

[Not available in provided text]

Citation

@article{Yan2025Improved,
  author = {Yan, Shixiong and Jiang, Changbo and Long, Yuannan and Deng, Bin and Huang, Zhiyong and Wang, Xinkui},
  title = {Improved Near-Real-Time Precipitation Estimation From Himawari-8 Data and Gauge Observations in the Xiangjiang River Basin Using a Three-Stage Machine Learning Framework},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year = {2025},
  doi = {10.1109/jstars.2025.3633323},
  url = {https://doi.org/10.1109/jstars.2025.3633323}
}

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