Satellite-Based Methane Detection

Project overview

Project title

Detecting methane plumes in satellite imagery and quantifying emission rates using neural networks 

Project description

Methane is a potent greenhouse gas and an important contributor to climate change. This project will develop neural network-based methods to detect anthropogenic methane plumes in satellite imagery and quantify emission rates. The expected outcomes are better detection and monitoring of methane emissions in Australia compared to current methods, with enhanced temporal and spatial coverage. These advancements will enhance Australia’s capability to efficiently identify, quantify and mitigate methane emissions. 

Supervisory team

University

Name of university supervisor	Stephen Petrie
Name of university	Swinburne University of Technology
Email address	spetrie@swin.edu.au
Faculty	Space Technology and Industry Institute

CSIRO

Name of CSIRO supervisor	Nasimeh Shahrokhi
Email address	Nasimeh.shahrokhi@csiro.au
CSIRO Research Unit	Environment

Industry

Name of industry supervisor	Ullas V. Bhanu
Name of business/organisation	Esper Industries Pty Ltd
Email address	ullas@espersatellites.co

Further details

Primary location of student	Swinburne University of Technology, John Street, Hawthorn VIC 3122
Industry engagement component location	Esper Industries, 9/585 Blackburn Road, Notting Hill VIC 3168
Other locations	CSIRO Aspendale, 107-121 Station Street, Aspendale VIC 3195
Ideal student skillset	Completed undergraduate degree in physics, computer science, machine learning, computational modelling, or similar. Experience with training and implementing neural networks and/or analysing satellite imagery Experience working with large databases and/or developing image processing pipelines Strong programming skills Excellent project management skills and attention to detail Ability to work independently and collaboratively as part of a team Strong communication skills, an ability to write high-quality technical reports and contribute to peer-reviewed academic publications
Application Close Date	Open until position filled
Apply	Swinburne University of Technology