How Chester researchers are using AI to reshape our understanding of wildfires
Chester researchers are using artificial intelligence to analyse the environmental impact of the LA wildfires.
With data from the European Union space programme, the project investigates the impact of wildfire pollution in urban areas using computer vision techniques.
The analysis reveals the spatial distribution of carbon monoxide in Los Angeles following the January 2025 wildfires - identifying two primary clusters of concentration.
The Coastal LA Hotspot exhibited the highest levels, driven by a combination of wildfire emissions, vehicle congestion, industrial activities, and meteorological factors such as temperature inversions.
By distinguishing these clusters, the work has provided a detailed assessment of how wildfire-driven pollution interacts with existing urban and industrial emissions.
Beyond identifying pollution patterns, the analysis examined their implications for human health, local economies and more.
The innovative application, led by Professor Kelvin Leong and Dr Anna Sung at the University of Chester, is now featured as a case study on the Copernicus Data Space Ecosystem.
The Ecosystem is part of the Copernicus component of the European Union Space Programme - leveraging both satellite and ground-based data to address global environmental and societal challenges.
Prof Leong said: "By merging computer vision with satellite data, we can address complex environmental challenges more effectively.
"We're excited about the potential of our research to make a significant impact."
Dr Sung, Programme Leader at the University, said: "We are eager to share these advanced techniques and our findings with our students, particularly in the MSc FinTech and Business Analytics programme, enhancing their learning experience and preparing them for future challenges."
The project is part of a broader series of initiatives by the team.
Recently, they also secured a research grant from OpenAI, the creator of ChatGPT, to explore the ethical use of AI.
For more information on the case study, please visit here.
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