Reliability evaluation of pseudo-samples from model-free and model-based approaches in wildfire susceptibility mapping
Given the profound impact of wildfires on human society and the natural environment, as well as the challenges faced by traditional supervised learning methods when sample sizes are insufficient, this study aims to evaluate the reliability of model-based and model-free semi-supervised learning (SSL)...
Gorde:
| Egile Nagusiak: | , , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Taylor & Francis Group
2026-12-01
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| Saila: | Geomatics, Natural Hazards & Risk |
| Gaiak: | |
| Sarrera elektronikoa: | https://www.tandfonline.com/doi/10.1080/19475705.2026.2669548 |
| Etiketak: |
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