Norova et al. (2025) A Systematic Review of Methodological Advances in Glacier-Velocity Retrieval with an Emphasis on Debris-Covered Glaciers

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Remote Sensing
• Year: 2025
• Date: 2025-12-24
• Authors: Nohid Norova, Alim Samat, Jilili Abuduwaili
• DOI: 10.3390/rs18010062

Research Groups

Not specified in the provided text. This study is a systematic review of the broader scientific literature.

Short Summary

This study provides a comprehensive systematic review of methodological advances in glacier-velocity retrieval, highlighting a significant shift towards automated, AI-informed systems while identifying persistent challenges in monitoring debris-covered glaciers.

Objective

• To systematically review methodological advances in glacier-velocity retrieval, with a particular focus on debris-covered glaciers, and to identify key developments, data sources, and performance characteristics across various methodologies.

Study Configuration

• Spatial Scale: Global (reviewing studies applicable to global glacier-velocity monitoring).
• Temporal Scale: 1992 to 2025 (period of peer-reviewed studies analyzed).

Methodology and Data

• Models used: Methodologies reviewed include feature tracking, InSAR, offset tracking, optical flow, deep learning algorithms, and data fusion strategies.
• Data sources:
  • For the reviewed studies: Satellite data (optical and synthetic aperture radar (SAR)), observational data.
  • For this review: 121 peer-reviewed studies identified using the PRISMA framework.

Main Results

• A clear trend demonstrates a shift from manual and correlation-based approaches towards automated, AI-informed systems for glacier-velocity retrieval.
• Persistent accuracy and uncertainty problems exist for debris-covered glacier surfaces due to low surface contrast and heterogeneity.
• Emerging trends point towards increasing integration of data fusion and glaciological modeling to develop more intelligent, automated, and physically informed monitoring systems.

Contributions

• Provides a comprehensive systematic review of methodological advances in glacier-velocity retrieval, specifically addressing the underrepresentation of debris-covered glaciers.
• Identifies key developments, data sources, and performance characteristics of various methodologies over a three-decade period.
• Highlights the critical need for open data, reproducible methodologies, and interdisciplinary collaboration to enhance the accuracy and scalability of global glacier-velocity monitoring.

Funding

Not specified in the provided text.

Citation

@article{Norova2025Systematic,
  author = {Norova, Nohid and Samat, Alim and Abuduwaili, Jilili},
  title = {A Systematic Review of Methodological Advances in Glacier-Velocity Retrieval with an Emphasis on Debris-Covered Glaciers},
  journal = {Remote Sensing},
  year = {2025},
  doi = {10.3390/rs18010062},
  url = {https://doi.org/10.3390/rs18010062}
}