Neural network-based snow depth retrieval from AMSR-2 brightness temperatures using ICESat-2 measurement as ground truth
IndroductionEstimating snow depth over Arctic sea ice is essential for understanding climate processes and supporting operational forecasting. Previous work has demonstrated the use of lidar backscattering pathlength moments from Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) for snow depth r...
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| Autores principales: | , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Frontiers Media S.A.
2025-06-01
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| Colección: | Frontiers in Remote Sensing |
| Materias: | |
| Acceso en línea: | https://www.frontiersin.org/articles/10.3389/frsen.2025.1591276/full |
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