Assessing the local and landscape drivers of post-fire understory early pinus radiata invasions in the coastal maulino forest using remote sensing data and deep learning techniques
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| Fecha de publicación: | 2021 |
| Objetivos: | Examine the local and landscape effects on post-fire understory P. radiata invasions in the Coastal Maulino forest using remote sensing data and deep learning techniques. |
| Instrumento: | FONDECYT |
| Año de Inicio/Término: | 2021-2024 |
| Financiamiento/Sponsor: | CONICYT |
| Rol del Usuario: | DIRECTOR(A) |
| DOI: |
3210180 |