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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

摘要

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.