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Satellite remote sensing and deep learning for aerosols prediction
Introduction/purpose: The paper presents a new state-of-the-art method that involves NASA satellite imagery with the latest deep learning model for a spatiotemporal sequence forecasting problem. Satellite-retrieved aerosol information is very useful in many fields such as PM prediction or COVID-19 t...
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| Publicado no: | Vojnotehnicki glasnik/Military Technical Courier |
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| Principais autores: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
University of Defence
2023
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| Assuntos: | |
| Acesso em linha: | https://www.redalyc.org/articulo.oa?id=661774087009 https://www.redalyc.org/journal/6617/661774087009/ https://www.redalyc.org/journal/6617/661774087009/html/ https://www.redalyc.org/journal/6617/661774087009/661774087009.epub https://www.redalyc.org/journal/6617/661774087009/movil https://doi.org/10.5937/vojtehg71-40391 |
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