Effect of sample size on the estimation of forest inventory attributes using airborne LiDAR data in large-scale subtropical areas
Abstract Key message Sample size (number of plots) may significantly affect the accuracy of forest attribute estimations using airborne LiDAR data in large-scale subtropical areas. In general, the accuracy of all models improves with increasing sample size. However, the improvement in estimation acc...
Gardado en:
| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
BMC
2023-10-01
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| Series: | Annals of Forest Science |
| Assuntos: | |
| Acceso en liña: | https://doi.org/10.1186/s13595-023-01209-4 |
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