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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| Главные авторы: | , , , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI AG
2026-02-01
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| Серии: | Remote Sensing |
| Предметы: | |
| Online-ссылка: | https://www.mdpi.com/2072-4292/18/5/737 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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