Song et al. (2026) A Parameter-Adaptive Photon Denoising Algorithm for ICESat-2 Glacier Monitoring in Tibet

Identification

• Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Yadi Song, Zhijie Zhang, Gang Chen, Yong Han, Shuanggen Jin
• DOI: 10.1109/jstars.2026.3670866

Research Groups

This paper proposes a parameter-adaptive photon denoising algorithm to enhance the accuracy of ICESat-2 data for glacier monitoring in Tibet.

Objective

• To develop and implement a parameter-adaptive photon denoising algorithm for improving ICESat-2 photon data quality in the context of glacier monitoring in the Tibet region.

Study Configuration

• Spatial Scale: Tibet region
• Temporal Scale: Not explicitly stated, but implied to be multi-temporal for monitoring purposes.

Methodology and Data

• Models used: A Parameter-Adaptive Photon Denoising Algorithm
• Data sources: ICESat-2 satellite data

Main Results

Contributions

Funding

Citation

@article{Song2026ParameterAdaptive,
  author = {Song, Yadi and Zhang, Zhijie and Chen, Gang and Jiang, Liming and Han, Yong and Jin, Shuanggen},
  title = {A Parameter-Adaptive Photon Denoising Algorithm for ICESat-2 Glacier Monitoring in Tibet},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year = {2026},
  doi = {10.1109/jstars.2026.3670866},
  url = {https://doi.org/10.1109/jstars.2026.3670866}
}