Imaging Science Seminar: Geospatial data science applications to address air quality challenges
Geospatial data science applications to address air quality challenges
Lead Geospatial Data Scientist
Sonoma Technology, Inc.
Understanding the spatial and temporal distribution of air pollution is the first step to understanding and taking action on the health outcomes of air pollution exposure. In this talk, I will discuss applications of satellite remote sensing data and air quality modeling to these challenges. In particular, satellite data sets provide high-resolution information to fill gaps in air quality data and in our understanding of health outcomes. This work seeks to guide actions to reduce air pollution exposure and improve health around the world.
Nathan Pavlovic is Lead Geospatial Data Scientist at Sonoma Technology, Inc. Mr. Pavlovic leads projects that assess and address air quality in the areas of health research, wildfire smoke, and environmental impacts of air pollution. In much of his work, he employs remote sensing data and other geospatial data sets to support advanced data analysis efforts. Prior to joining STI, Mr. Pavlovic earned his master’s degree in Geography and Geographic Information Science at the University of Illinois at Urbana-Champaign, where he assessed the geography of wildfire in West Africa using remote sensing data and machine learning.
Beginners, undergraduates, graduates. Those with interest in the topic.
When and Where
Open to the Public