Mapping air temperatures throughout Western Melbourne through machine learning
The University of Melbourne is partnering with the City of Wyndham to set up a SmartCity LoRaWAN network of climate measurement in local parks, surrounding streets and commercial precincts.
This network of 26 sensors will link to the Werribee campus LoRaWAN Gateway. This continuous and real-time dataset will provide an understanding of the relationship between land use character, such as green space, tree cover, impervious cover, soil moisture, and measured air temperature under a wide range of weather conditions.
This provides an opportunity to collaborate with MDAP to apply machine learning techniques to input data of:
- weather conditions from the Bureau of Meteorology
- a 3-D land surface map.
From this MDAP collaboration a near-real- time map of air temperature can be constructed for the heat-vulnerable suburbs of Western Melbourne.
Who's involved
Chief Investigator
Professor Stephen Livesley, School of Agriculture, Food and Ecosystem Sciences
Co investigators
Dr Kerry Nice, Research Fellow, Architecture, Building and Planning
Paul Cheung, Research Fellow, Science
Mark Morris, Product Manager – Smart Campus, Business Services