Small area estimation of forest volume using mixed effects random forests and multi-source remote sensing data
Accurate estimation of forest growing stock volume (GSV) at fine spatial scales is essential for sustainable management, carbon accounting, and local decision-making. However, traditional inventories often lack sufficient sampling density for small areas. This study evaluates two small-area estimati...
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Taylor & Francis Group
2026-12-01
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| Col·lecció: | European Journal of Remote Sensing |
| Matèries: | |
| Accés en línia: | https://www.tandfonline.com/doi/10.1080/22797254.2026.2680926 |
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