Guardado en:
| Autor principal: | |
|---|---|
| Formato: | Recurso digital |
| Lenguaje: | inglés |
| Publicado: |
Zenodo
2011
|
| Materias: | |
| Acceso en línea: | https://doi.org/10.5281/zenodo.18932106 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Tabla de Contenidos:
- <p>The Comoros islands are a small archipelago in the Indian Ocean with limited land use data. AI algorithms were applied to high-resolution satellite images to classify land use types. A pattern of deforestation in the northern islands was observed with a proportion of 35% over two years. The AI approach improved accuracy compared to manual classification methods. Continue monitoring and integrate results into policy-making for sustainable land use management. AI, satellite imagery, Comoros, land use mapping, machine learning Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.</p>