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New interpretable deep learning model to monitor real-time PM2.5 concentrations from satellite data
Particulate matter with a mass concentration of particles with a diameter less than 2.5 μm (PM2.5) is a key air quality parameter. A real-time knowledge of PM2.5 is highly valuable for lowering the risk of detrimental impacts on human health. To achieve this goal, we developed a new deep learning mo...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2020-11-01
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| Colecção: | Environment International |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S0160412020320158 |
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