Zeng et al. (2025) Multifactor Spatial Downscaling of Satellite Precipitation Based on Vegetation Index and Elevation

Identification

• Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• Year: 2025
• Date: 2025-12-30
• Authors: Zhaozhao Zeng, Nadav Peleg, Haonan Chen, Li Zhuo
• DOI: 10.1109/jstars.2025.3649217

Research Groups

[Information not available in the provided text.]

Short Summary

This paper introduces a multifactor spatial downscaling method for satellite precipitation data, leveraging vegetation index and elevation to enhance spatial resolution and accuracy.

Objective

• To develop and evaluate a novel multifactor spatial downscaling algorithm for satellite precipitation data, integrating vegetation index and elevation as key explanatory variables.

Study Configuration

• Spatial Scale: Downscaling from coarser satellite precipitation resolution to finer spatial resolutions (specifics not provided).
• Temporal Scale: Likely daily or sub-daily precipitation data (specifics not provided).

Methodology and Data

• Models used: A spatial downscaling model or algorithm that incorporates vegetation index and elevation (specific model name not provided).
• Data sources: Satellite precipitation products, satellite-derived vegetation indices (e.g., Normalized Difference Vegetation Index), and digital elevation models (DEMs).

Main Results

• The proposed multifactor downscaling method is expected to demonstrate improved spatial resolution and accuracy of satellite precipitation estimates compared to original products or single-factor methods.
• Quantitative metrics (e.g., root mean square error, correlation coefficient) would likely show enhanced performance.

Contributions

• Presents an original multifactor approach for spatial downscaling of satellite precipitation, offering improved accuracy and detail by explicitly incorporating both vegetation index and elevation.
• Potentially enhances the utility of satellite precipitation data for hydrological and environmental applications requiring finer spatial scales.

Funding

[Information not available in the provided text.]

Citation

@article{Zeng2025Multifactor,
  author = {Zeng, Zhaozhao and Peleg, Nadav and Chen, Haonan and Zhuo, Li},
  title = {Multifactor Spatial Downscaling of Satellite Precipitation Based on Vegetation Index and Elevation},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year = {2025},
  doi = {10.1109/jstars.2025.3649217},
  url = {https://doi.org/10.1109/jstars.2025.3649217}
}