Air Pollution Monitoring and Health Effect Analysis: Quantitative Satellite Applications

In the past couple decades, the air quality modeling techniques, model inputs, and existing and potential applications have evolved very rapidly. Air Pollution Monitoring and Health Effect Analysis: Quantitative Satellite Applications covers extensive examples of applications of satellite-based air pollution estimates, extensive ground monitoring networks and their long-time records in creating convolutional layers of the ground measurements to improve model performance, and algorithms based on MODIS retrievals that generate aerosol optical depths at deep resolution worldwide, further enabling city and sub-regional scale modeling.

Volume highlights include:

• Discussion of existing and upcoming satellite data products, and general modeling approaches
• Coverage of various modeling techniques, that include regional statistical models, regional machine learning models, global scale models, models for long-term trends, short-term time series, air pollution episodes etc.
• Discussion of applications of satellite data in air quality monitoring and health effects research, along with future data and research needs
• Cross-cutting knowledge in fields such as satellite remote sensing, spatial statistics, GIS, and atmospheric science to understand the output of models       

Air Pollution Monitoring and Health Effect Analysis: Quantitative Satellite Applications is useful for graduate students and researchers in the fields of atmospheric sciences, satellite aerosol remote sensing, environmental sciences, geohealth, environmental policy, exposure assessment and epidemiology.