Zhang et al. (2025) High-Resolution Mapping of Dry and Wet Snow Using Multisource Remote Sensing Data in Mountainous Regions

Identification

• Journal: IEEE Transactions on Geoscience and Remote Sensing
• Year: 2025
• Date: 2025-12-24
• Authors: Yonghui Zhang, Xiaodong Huang, Ying Ma, Yuxin Li
• DOI: 10.1109/tgrs.2025.3647823

## Research Groups -

Short Summary

This study aims to achieve high-resolution mapping of dry and wet snow in mountainous regions by utilizing multisource remote sensing data.

Objective

• To develop and apply high-resolution mapping techniques for distinguishing dry and wet snow conditions.
• To leverage multisource remote sensing data for snow classification in mountainous environments.

Study Configuration

• Spatial Scale: High-resolution, mountainous regions (implying detailed mapping at scales from local to regional, likely at pixel resolutions of tens of meters).
• Temporal Scale: Not explicitly stated, but pertains to periods of snow cover.

Methodology and Data

• Models used:
• Data sources: Multisource Remote Sensing Data (e.g., satellite, airborne observations).

## Main Results -

## Contributions -

## Funding -

Citation

@article{Zhang2025HighResolution,
  author = {Zhang, Yonghui and Huang, Xiaodong and Ma, Ying and Li, Yuxin},
  title = {High-Resolution Mapping of Dry and Wet Snow Using Multisource Remote Sensing Data in Mountainous Regions},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year = {2025},
  doi = {10.1109/tgrs.2025.3647823},
  url = {https://doi.org/10.1109/tgrs.2025.3647823}
}