How will ai transform urban observing, sensing, imaging, and mapping?

  • Qihao Weng*
  • , Zhiwei Li
  • , Yinxia Cao
  • , Xiaoyan Lu
  • , Paolo Gamba
  • , Xiaoxiang Zhu
  • , Yonghao Xu
  • , Fan Zhang
  • , Rongjun Qin
  • , Micheal. Y. Yang
  • , Peifeng Ma
  • , Wei Huang
  • , Tiangang Yin
  • , Qiming Zheng
  • , Yuhan Zhou
  • , Greg Asner*
  • *Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

15 Citations (Scopus)
48 Downloads (Pure)

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 languageEnglish
Article number50
Journalnpj Urban Sustainability
Volume4
DOIs
Publication statusPublished - 28 Nov 2024

Keywords

  • ITC-ISI-JOURNAL-ARTICLE
  • ITC-GOLD

Fingerprint

Dive into the research topics of 'How will ai transform urban observing, sensing, imaging, and mapping?'. Together they form a unique fingerprint.

Cite this