Lu et al. (2026) ICESat-2 and SnowEx Surface Elevation Measurements: A Cross-Validation Study for Snow Depth Application

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

Identification

• Journal: Remote Sensing
• Year: 2026
• Date: 2026-01-21
• Authors: Xiaomei Lu, Y. Hu, N. T. Kurtz, Amitesh Omar, Travis Knepp, Zachary Fair
• DOI: 10.3390/rs18020359

Research Groups

Not specified in the provided text.

Short Summary

This study cross-validates ICESat-2-derived surface elevations and snow depths against in situ SnowEx measurements, demonstrating centimeter-level accuracy for surface elevations and tens of centimeters for snow depths, with the pathlength method proving more reliable in complex terrain.

Objective

• To cross-validate ICESat-2-derived surface elevations and snow depths against in situ measurements from SnowEx field campaigns.

Study Configuration

• Spatial Scale: Local to regional scale, covering diverse terrain types including flat, sparsely vegetated, tundra, vegetated, and steep areas.
• Temporal Scale: Seasonal, focusing on snow-covered and snow-free periods for snow depth retrieval.

Methodology and Data

• Models used: Snow-on–off method (differencing surface elevations), Pathlength method (multiple-scattering photon distributions).
• Data sources: Lidar observations from the Ice, Clouds, and Land Elevation Satellite-2 (ICESat-2), in situ measurements from SnowEx field campaigns.

Main Results

• ICESat-2 surface elevations show close agreement with SnowEx data, achieving an accuracy of approximately 1 centimeter over flat, sparsely vegetated terrain.
• Larger biases in ICESat-2 surface elevations were observed in vegetated and steep areas.
• Snow depth estimates from both the snow-on–off and pathlength methods demonstrated comparable performance in tundra areas, with typical errors on the order of tens of centimeters.
• In vegetated or steep terrain, the pathlength method yielded more reliable snow depth results, exhibiting less sensitivity to slope and vegetation compared to the snow-on–off method.
• The findings confirm ICESat-2 as a reliable tool for measuring snow depth from space.

Contributions

• Provides a robust cross-validation of ICESat-2-derived surface elevations and snow depths using high-quality in situ SnowEx data.
• Quantifies the accuracy of ICESat-2 surface elevation measurements (centimeter-level) and snow depth estimates (tens of centimeters) across various terrain types.
• Identifies the superior performance of the pathlength method for snow depth retrieval in complex (vegetated and steep) terrain, highlighting its reduced sensitivity to environmental factors.
• Reinforces the utility and reliability of ICESat-2 for space-based seasonal snow depth monitoring.

Funding

Not specified in the provided text.

Citation

@article{Lu2026ICESat2,
  author = {Lu, Xiaomei and Hu, Y. and Kurtz, N. T. and Omar, Amitesh and Knepp, Travis and Fair, Zachary},
  title = {ICESat-2 and SnowEx Surface Elevation Measurements: A Cross-Validation Study for Snow Depth Application},
  journal = {Remote Sensing},
  year = {2026},
  doi = {10.3390/rs18020359},
  url = {https://doi.org/10.3390/rs18020359}
}