Bridging temporal and spatial gaps in passive microwave observations for global snow depth estimation
• Developed a novel cross-sensor calibration for global snow depth estimation. • Enhanced spatiotemporal continuity by integrating AMSR-E, AMSR2 and MWRI data. • Achieved robust snow depth retrievals over heterogeneous and complex surfaces. • Provide reliable estimates in regions not covered by GlobSnow/AMSR2 products.
Authors
- Qingyu Gu
- Jiming Liu (ORCID: https://orcid.org/0000-0002-8669-9064)
- Bailang Yu (ORCID: https://orcid.org/0000-0001-5628-0003)
- Jianping Wu
- Yan Huang (ORCID: https://orcid.org/0000-0003-2177-4809)
- Zhan Pan
- Tao Che (ORCID: https://orcid.org/0000-0001-6848-7271)
- Jiahui Xu
- Shengli Wu (ORCID: https://orcid.org/0000-0002-5930-3183)
Institutions
- Chinese Academy of Sciences (CN)
- Northwest Institute of Eco-Environment and Resources (CN)
- East China Normal University (CN)
Publication Details
- Journal
- International Journal of Applied Earth Observation and Geoinformation
- Published
- 2026-05-27
- DOI
- https://doi.org/10.1016/j.jag.2026.105369
- Primary Topic
- Cryospheric studies and observations
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China