Abstract
Advances in artificial intelligence (AI) and Earth observation (EO) have transformed urban studies. This paper provides a commentary on how the AI-EO integration offers advancements in urban studies and applications. We conclude that AI will provide a deeper interpretation and autonomous identification of urban issues and the creation of customized urban designs. Open issues remain, especially in integrating diverse geospatial big data, data security, and developing a general analytical framework.
Original language | English |
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Article number | 50 |
Journal | npj Urban Sustainability |
Volume | 4 |
Issue number | 1 |
Early online date | 28 Nov 2024 |
DOIs | |
Publication status | Published - 1 Dec 2024 |
Acknowledgements
The authors are grateful to the editors and reviewers for their constructive comments and suggestions which helped improve the manuscript.Funding
This research has received funding from Global STEM Professorship, Hong Kong SAR Government (P0039329), Hong Kong RGC (grant reference # 15300923), and Hong Kong Polytechnic University (P0046482 and P0038446). The authors are grateful to the editors and reviewers for their constructive comments and suggestions which helped improve the manuscript.
Funders | Funder number |
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RGC | 15300923 |
The Hong Kong Polytechnic University | P0046482, P0038446 |