Classifying the risk of forest loss in the Peruvian amazon rainforest: An alternative approach for sustainable forest management using artificial intelligence
Peruvian Amazonian rainforests are constantly threatened by forest loss. Understanding changes in forest cover and assessing the level of risk is a permanent concern for numerous scientists and forest authorities. There are many conservation programs for Peruvian forests that involve collaborative e...
| Autores principales: | , , , , |
|---|---|
| Formato: | info:eu-repo/semantics/article |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2023
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/20.500.12955/2293 https://doi.org/10.1016/j.tfp.2023.100440 |
Ejemplares similares: Classifying the risk of forest loss in the Peruvian amazon rainforest: An alternative approach for sustainable forest management using artificial intelligence
- Configuration of the deep neural network hyperparameters for the hypsometric modeling of the Guazuma crinita Mart. in the Peruvian Amazon
- Implementing artificial intelligence to measure meat quality parameters in local market traceability processes
- El establecimiento de las plantas
- Low Intensity Breeding of Native Forest Trees in Argentina : Genetic Basis for their Domestication and Conservation
- Multiscale spatial planning to maintain forest connectivity in the Argentine Chaco in the face of deforestation
- Nationwide native forest structure maps for Argentina based on forest inventory data, SAR Sentinel-1 and vegetation metrics from Sentinel-2 imagery
