Open AccessA Deep Learning Approach for Meter-Scale Air Quality Estimation in Urban Environments Using Very High-Resolution Satellite Imagery
Author(s) -
Meytar Sorek Hamer,
Ata Akbari Asanjan,
Michael Von Pohle,
Adwait Sahasrabhojanee,
Emily Deardorff,
Violet Lingenfelter,
Esra Süel,
Nikunj C. Oza,
Majid Ezzati,
Bryan Matthews,
M. Brauer
Publication year - 2021
Publication title -
environmental health perspectives. supplements
Language(s) - English
Resource type - Journals
eISSN - 2169-2181
pISSN - 1078-0475
DOI - 10.1289/isee.2021.o-to-042
Subject(s) - satellite imagery , satellite , remote sensing , scale (ratio) , deep learning , environmental science , air quality index , computer science , artificial neural network , pixel , image resolution , meteorology , artificial intelligence , cartography , geography , engineering , aerospace engineering