Harnessing geospatial intelligence for wildfire risk mapping using ML and DL techniques
Abstract Forest fires seriously threaten the environment and the economy. Accurate and reliable predictive models are necessary to successfully reduce forest fires. Using multispectral satellite imagery and sophisticated algorithms, recent advances in machine learning (ML) and geospatial technology...
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| Główni autorzy: | , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Springer
2026-01-01
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| Seria: | Discover Applied Sciences |
| Hasła przedmiotowe: | |
| Dostęp online: | https://doi.org/10.1007/s42452-026-08288-8 |
| Etykiety: |
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