Advanced geospatial methods and GeoAI for urban sustainable future
ID:53 View Protection:ATTENDEE Updated Time:2025-10-30 20:23:06 Hits:156 Oral Presentation

Start Time:Pending(Asia/Shanghai)

Duration:Pending

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Abstract

Geospatial artificial intelligence (GeoAI) is driving Earth and urban sciences into a new phase, providing new approaches for the intelligent and sustainable development of cities and infrastructures. GeoAI advances beyond traditional spatial analysis and mapping by transforming how natural and human systems are understood and managed. A key scientific task is to integrate distinctive geospatial features into GeoAI models to address challenges across natural, built, and social environments. This study presents a set of advanced geospatial methods and GeoAI frameworks, supported by open-source tools and case applications in areas such as resource monitoring, urban material flow, and infrastructure maintenance. With the rapid evolution of GeoAI, the widening digital divide poses risks that may intensify existing social and economic inequalities. Strategies are proposed to promote inclusive and equitable access to GeoAI, enabling broader participation and contributing to a sustainable and just urban future.

Keywords
geographic information systems (GIS),Remote sensing (RS),Earth observation,sustainable development; ecological transfer payment; factor analysis model; performance evaluation;,urban science
Speaker
Yongze Song
Senior Lecturer Curtin University

Submission Author
Yongze Song Curtin University
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Important Date
  • Conference Date

    Nov 20

    2025

    to

    Nov 24

    2025

  • Nov 10 2025

    Draft paper submission deadline

  • Nov 24 2025

    Registration deadline

Sponsored By
The Pacific Science Association
Organized By
Shantou University
Xiamen University
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