Actively inferring methane sources with drones
This study presents a framework that combines Bayesian inference with reinforcement learning to guide drone-based sampling for methane source estimation. Synthetic gas concentration and wind observations are generated using a calibrated model derived from real-world drone measurements, providing a m...
Kaydedildi:
| Asıl Yazarlar: | , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Cambridge University Press
2026-01-01
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| Seri Bilgileri: | Environmental Data Science |
| Konular: | |
| Online Erişim: | https://www.cambridge.org/core/product/identifier/S2634460226100296/type/journal_article |
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