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

作者：Qihao Weng, Zhiwei Li, Yinxia Cao, Xiaoyan Lu, Paolo E. Gamba, Xiao Xiang Zhu, Yonghao Xu, Fan Zhang, Rongjun Qin, Micheal Ying Yang, Peifeng Ma, Wei Huang, Tiangang Yin, Qiming Zheng, Yuhan Zhou, Gregory P. Asner · 发表于：npj Urban Sustainability · 年份：2024 · DOI：10.1038/s42949-024-00188-3 · 被引用次数：31 · 研究领域：Automated Road and Building Extraction、Remote Sensing and LiDAR Applications、Land Use and Ecosystem Services

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.