- GC41N: Urbanization and the Environment: Data, Models, and Applications III Poster
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NOLA CC
Primary Convener:Generic 'disconnected' Message
Peng Fu, Louisiana State University AgCenter
Convener:
Soe Myint, Texas State University
Zhonghua Zheng, The University of Manchester
Yuyu Zhou, The University of Hong Kong
Early Career Convener:
Fei Han, University of New Hampshire Main Campus
Chair:
Peng Fu, University of Illinois at Urbana Champaign
Soe Myint, Texas State University
Fei Han, University of New Hampshire Main Campus
Yuyu Zhou, The University of Hong Kong
As urbanization accelerates, it is reshaping landscapes and placing increasing pressure on ecosystems within and around cities. Compounding urbanization processes, climate-driven extremes like drought, flooding, and heat further intensify pressure, both on people and the environment. There is a critical need for science-based strategies to enhance urban resilience, while promoting social equity and environmental sustainability. This session invites contributions that utilize Earth observations, geospatial data, artificial intelligence (AI), and modeling frameworks combined with insights on collaborative and co-designed science efforts with communities to advance interdisciplinary understanding of urbanization and its environmental impacts. We welcome studies addressing land use and land cover change, urban ecosystem functions, wildfire, disaster issues, water use and conservation, and exploration of nature-based solutions (NbS) for implementations that foster multi-scale, multi-sector collaborations.
Index Terms
0493 Urban systems
1616 Climate variability
1821 Floods
4324 Spatial decision support systems
Cross-Listed:
NH - Natural Hazards
IN - Informatics
A - Atmospheric Sciences
GH - GeoHealth
Suggested Itineraries:
Machine Learning and AI
Neighborhoods:
3. Earth Covering
Scientific DisciplineSuggested ItinerariesNeighborhoodType
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