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Event Time
3:30 p.m.
Atlantic Building Room 2400 & Zoom

AOSC Seminar by Dr. Jing Wei, 11/3/2022

AOSC Seminar

Dr. Jing Wei



Title: Tracking Air Pollution from Space Using Artificial Intelligence


Exposure to ambient air pollution, including fine particulate matter (PM2.5) and trace gases like ozone (O3) and nitrogen dioxide (NO2) at the ground level, poses serious threats to environmental quality and public health, significantly increasing the risk of death. Satellite remote sensing allows for generating spatially continuous PM2.5 data, but many current datasets have overall low accuracies with coarse spatial resolutions and large gaps limited by data sources and models. Air pollution levels in developing countries like China have experienced dramatic changes over the past couple of decades. To reveal the spatiotemporal variations, artificial intelligence, including machine and deep learning, is extended by considering the spatiotemporal heterogeneity of air pollution to generate long-term and high spatiotemporal-resolution datasets of outdoor air pollutants from big data that integrate ground-based measurements, satellite remote sensing products, atmospheric reanalysis, and model simulations. The application and fidelity of the dataset are demonstrated by analyzing their spatial distributions and temporal variations of surface air pollution, exposure risk to the public, and the COVID-19 pandemic. These novel products have been widely employed to address a variety of atmospheric, environmental, ecological, and public health issues.



Dr. Wei is a Research Associate in Earth System Science Interdisciplinary Center at the University of Maryland. His primary expertise lies in studying atmospheric clouds, aerosols, particulate matter, chemical composition, and trace gases by means of satellite remote sensing, big data, and artificial intelligence. He has developed a suite of remote sensing models to develop long-term high-resolution and high-quality products and exploited the use of these products to investigate their spatiotemporal variations to understand their natural and anthropogenic causes. Dr. Wei has published over 50 SCI papers as the lead or corresponding author with over 3300 citations and an H-index of 31, and he is on the Stanford University List of the World’s Top 2% Scientists (2022, 2021). He is serving as an editor of Earth System Science Data and on the editorial boards of Remote Sensing, International Journal of Digital Earth, and Big Earth Data. He has received several awards, including the AGU James R. Holton Award, Li Xiaowen Remote Sensing Science Youth Award, the Gao Tingyao Environmental Protection Outstanding Youth Award, and the Zhou Tingru Geography Youth Award.


Contact: Zhanqing Li

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AOSC Seminar

Pre-seminar refreshment: N/A
Seminar: 3:30-4:30pm, Room: ATL 2400(only when in-person)
Meet-the-Speaker: 4:30-5:00pm, Room: ATL 3400(only when in-person) [For AOSC Students only]

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