Spatially distributed snow depth, bulk density, and snow water equivalent from ground-based and airborne sensor integration at Grand Mesa, Colorado, USA
<p>Estimating snow mass in the mountains remains a major challenge for remote-sensing methods. Airborne lidar can retrieve snow depth, and some promising results have recently been obtained from spaceborne platforms, yet density estimates are required to convert snow depth to snow water equivalent...
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| Principais autores: | , , , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Copernicus Publications
2024-07-01
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| coleção: | The Cryosphere |
| Acesso em linha: | https://tc.copernicus.org/articles/18/3253/2024/tc-18-3253-2024.pdf |
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