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Machine learning method with remote sensing for air pollution estimation

Description 
Air quality monitoring stations are limited in the world. It is impossible to assess the health impacts of air pollution in some areas without air pollution data. This project aims to predict air pollution concentrations with machine learning method and remote sensing.
Essential criteria: 
Minimum entry requirements can be found here: https://www.monash.edu/admissions/entry-requirements/minimum
Keywords 
Machine learning, remote sensing, air pollution, environmental exposure assessment
School 
School of Public Health and Preventive Medicine
Available options 
PhD/Doctorate
Masters by research
Honours
BMedSc(Hons)
Graduate Diploma
Short projects
Joint PhD/Exchange Program
Time commitment 
Full-time
Part-time
Top-up scholarship funding available 
No
Physical location 
553 St Kilda Rd, Melbourne (adjacent to The Alfred)

Want to apply for this project? Submit an Expression of Interest by clicking on Contact the researcher.