Assessment of air quality using remote sensing technology for Alberta’s oil sands region

The objectives of this study are:

• To assess the feasibility of using satellite remote sensing technology to measure trace gases and aerosols over northern Alberta and to study the transport of biomass burning emissions and its impact on air quality over northern Alberta.

 

Methodology:

Data from several satellite sensors will be used in this study coupled with AErosol RObotic NETwork (AERONET) ground measurement data, In-service Aircraft for a Global Observing System data (IAGOS), meteorological data and Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) Model.

 

Satellite data sets:

This study will use data from numerous satellite instruments, which are: MODIS (Moderate Resolution Imaging Spectroradiometer), MISR (Multi-angle Imaging Spectroradiometer), CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation), OMI (The Ozone Monitoring Instrument), MOPITT (Measurements of Pollution in the Troposphere), and TES (Tropospheric Emission Spectrometer). Data are in HDF standardized format and we will use IDL programming language for data analysis.

Intern: 
Hebaallah Marey
Superviseur universitaire: 
Dr. Zaher Hashisho (Hachichou)
Project Year: 
2014
Province: 
Alberta
Discipline: 
Programme: