Dr. Christopher’s group is focused on using satellite data to study the earth-atmosphere system. Our research focuses on several aspects including

-        Using pixel level multi-spectral, multi angle, polar orbiting and geostationary data sets to separate pixels into various categories such as clouds, dust, smoke, vegetation, and other classes.

-        Use radiative transfer algorithms and satellite data to retrieve cloud and aerosol properties such as aerosol optical depth, cloud optical depth and particle sizes

-        Combine narrow and broadband data sets such as MODIS and CERES to study aerosol radiative forcing

-        Use satellite data and ground monitors to assess particulate matter air quality

-        Use numerical models to study and predict air quality

-        Use ground data sets to validate and improve satellite algorithms

-        Use airborne data sets to improve satellite algorithms

-        Use machine learning techniques to detect various features in satellite imagery