Feng et al. (2025) Uncertainty Characterization of ICESat-2, Passive Microwave, and Reanalysis Snow Depth Datasets Using Site Data in the Northern Hemisphere

Identification

• Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• Year: 2025
• Date: 2025-12-18
• Authors: Dongdong Feng, Tao Che, Liyun Dai, Liang Gao, Faqi Wu, Yanxing Hu, Yang Zhang, Guigang Wang, Yueling Shi
• DOI: 10.1109/jstars.2025.3645917

Research Groups

[Information not available in the provided text.]

Short Summary

This study aims to characterize the uncertainty of snow depth datasets derived from ICESat-2, passive microwave remote sensing, and reanalysis products by comparing them against ground-truth site data across the Northern Hemisphere.

Objective

• To quantify and characterize the uncertainties associated with snow depth measurements obtained from ICESat-2, passive microwave remote sensing, and reanalysis models, using in-situ site data as a reference in the Northern Hemisphere.

Study Configuration

• Spatial Scale: Northern Hemisphere
• Temporal Scale: Not explicitly stated, but implied to cover periods relevant for snow depth observation and uncertainty assessment.

Methodology and Data

• Models used: Reanalysis models (specific names not provided).
• Data sources: ICESat-2 (satellite altimetry), Passive Microwave (satellite remote sensing), Reanalysis products, Site Data (in-situ ground observations).

Main Results

[Information not available in the provided text.]

Contributions

[Information not available in the provided text.]

Funding

[Information not available in the provided text.]

Citation

@article{Feng2025Uncertainty,
  author = {Feng, Dongdong and Che, Tao and Dai, Liyun and Gao, Liang and Wu, Faqi and Hu, Yanxing and Zhang, Yang and Wang, Guigang and Shi, Yueling},
  title = {Uncertainty Characterization of ICESat-2, Passive Microwave, and Reanalysis Snow Depth Datasets Using Site Data in the Northern Hemisphere},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year = {2025},
  doi = {10.1109/jstars.2025.3645917},
  url = {https://doi.org/10.1109/jstars.2025.3645917}
}