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What you see is what you breathe? Estimating air pollution spatial variation using street level imagery
High spatial resolution information on urban air pollution levels is unavailable in many areas globally, partially due to high input data needs of existing estimation approaches. Here we introduce a computer vision method to estimate annual means for air pollution levels from street level images. We...
Autores principales: | Suel, Esra, Sorek-Hamer, Meytar, Moise, Izabela, von Pohle, Michael, Sahasrabhojanee, Adwait, Asanjan, Ata Akbari, Arku, Raphael E., Alli, Abosede S, Barratt, Benjamin, Clark, Sierra N, Middel, Ariane, Deardorff, Emily, Lingenfelter, Violet, Oza, Nikunj, Yadav, Nishant, Ezzati, Majid, Brauer, Michael |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7615101/ https://www.ncbi.nlm.nih.gov/pubmed/37719470 http://dx.doi.org/10.3390/rs14143429 |
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