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

delete2024-11-28
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OA
AI
Q
Qihao Weng *
李志伟 (Zhiwei Li)
Y
Yinxia Cao
陆晓燕 (Xiaoyan Lu)
P
Paolo Gamba
朱潇 cover
朱潇 (Xiao Xiang Zhu)
Y
Yonghao Xu
张帆 cover
张帆 (Fan Zhang)
R
Rongjun Qin
P
Peifeng Ma
黄炜 cover
黄炜 (Wei Huang)
T
Tiangang Yin
Q
Qiming Zheng
Y
Yuhan Zhou
A
Asner, Greg *
DOI:10.1038/s42949-024-00188-3delete
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Abstract

Abstract

En 中文
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.
Keywords:
EARTH OBSERVATION
LANDSCAPE

Journal

npj Urban Sustainability cover
npj Urban Sustainability
IF:
8.8
Papers:
467
Citations:
1.4K

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peking university
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T
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