How will ai transform urban observing, sensing, imaging, and mapping?
Qihao Weng, Zhiwei Li, Yinxia Cao, Xiaoyan Lu, Paolo 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
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.
Topics & Concepts
Remote sensingComputer scienceArtificial intelligenceComputer visionGeologyAutomated Road and Building ExtractionRemote Sensing and LiDAR ApplicationsLand Use and Ecosystem Services