Multi-features deep learning framework for aboveground biomass mapping in semi-arid forests by integrating LiDAR with Sentinel-1 and Sentinel-2 time series
Semi-arid forests harbour major carbon stocks. However, they have received little attention and are disappearing rapidly due to the global expansion of agriculture. The high-precision, large-scale estimation of semi-arid forest aboveground biomass (AGB) presents a major challenge to remote sensing b...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2025-11-01
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| coleção: | Ecological Informatics |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S1574954125004170 |
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