Sorek-Hamer, M.; Von Pohle, M.; Sahasrabhojanee, A.; Akbari Asanjan, A.; Deardorff, E.; Suel, E.; Lingenfelter, V.; Das, K.; Oza, N.C.; Ezzati, M.;
et al. A Deep Learning Approach for Meter-Scale Air Quality Estimation in Urban Environments Using Very High-Spatial-Resolution Satellite Imagery. Atmosphere 2022, 13, 696.
https://doi.org/10.3390/atmos13050696
AMA Style
Sorek-Hamer M, Von Pohle M, Sahasrabhojanee A, Akbari Asanjan A, Deardorff E, Suel E, Lingenfelter V, Das K, Oza NC, Ezzati M,
et al. A Deep Learning Approach for Meter-Scale Air Quality Estimation in Urban Environments Using Very High-Spatial-Resolution Satellite Imagery. Atmosphere. 2022; 13(5):696.
https://doi.org/10.3390/atmos13050696
Chicago/Turabian Style
Sorek-Hamer, Meytar, Michael Von Pohle, Adwait Sahasrabhojanee, Ata Akbari Asanjan, Emily Deardorff, Esra Suel, Violet Lingenfelter, Kamalika Das, Nikunj C. Oza, Majid Ezzati,
and et al. 2022. "A Deep Learning Approach for Meter-Scale Air Quality Estimation in Urban Environments Using Very High-Spatial-Resolution Satellite Imagery" Atmosphere 13, no. 5: 696.
https://doi.org/10.3390/atmos13050696
APA Style
Sorek-Hamer, M., Von Pohle, M., Sahasrabhojanee, A., Akbari Asanjan, A., Deardorff, E., Suel, E., Lingenfelter, V., Das, K., Oza, N. C., Ezzati, M., & Brauer, M.
(2022). A Deep Learning Approach for Meter-Scale Air Quality Estimation in Urban Environments Using Very High-Spatial-Resolution Satellite Imagery. Atmosphere, 13(5), 696.
https://doi.org/10.3390/atmos13050696