A Two-Stage Algorithm for Pan-Asian Haze Mapping with the FY-4A/AGRI Geostationary Imager
Haze, as a critical factor affecting regional air quality and human health, necessitates accurate remote sensing identification for pollution monitoring and climate research. This study proposes a two-stage haze mapping algorithm (THMA), based on a backpropagation neural network and a random forest...
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| Asıl Yazarlar: | , , , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
MDPI AG
2026-02-01
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| Seri Bilgileri: | Remote Sensing |
| Konular: | |
| Online Erişim: | https://www.mdpi.com/2072-4292/18/5/737 |
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