Tracking hourly PM2.5 using geostationary satellite sensor images and multiscale spatiotemporal deep learning

Zhige Wang; Ce Zhang; Su Ye; Rui Lü; Yulin Shangguan; Tingyuan Zhou; Peter M. Atkinson; Zhou Shi

doi:10.1016/j.jag.2024.104145

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Tracking hourly PM2.5 using geostationary satellite sensor images and multiscale spatiotemporal deep learning

Zhige Wang Ce Zhang Su Ye Rui Lü Yulin Shangguan Tingyuan Zhou Peter M. Atkinson Zhou Shi

Year: 2024 Journal: International Journal of Applied Earth Observation and Geoinformation Vol: 134 Pages: 104145-104145 Publisher: Elsevier BV

DOI: 10.1016/j.jag.2024.104145

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Keywords:

Geostationary orbit Tracking (education) Satellite tracking Remote sensing Satellite Geography Meteorology Cartography Artificial intelligence Computer science Engineering Aerospace engineering

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Topics

Air Quality Monitoring and Forecasting

Physical Sciences → Environmental Science → Environmental Engineering

Air Quality and Health Impacts

Physical Sciences → Environmental Science → Health, Toxicology and Mutagenesis

Atmospheric and Environmental Gas Dynamics

Physical Sciences → Environmental Science → Global and Planetary Change

Tracking hourly PM2.5 using geostationary satellite sensor images and multiscale spatiotemporal deep learning

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