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http://hdl.handle.net/10397/112957
| Title: | How will ai transform urban observing, sensing, imaging, and mapping? | Authors: | Weng, Q Li, Z Cao, Y Lu, X Gamba, P Zhu, X Xu, Y Zhang, F Qin, R Yang, MY Ma, P Huang, W Yin, T Zheng, Q Zhou, Y Asner, G |
Issue Date: | 2024 | Source: | npj Urban Sustainability, 2024, v. 4, 50 | 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. | Publisher: | Nature Publishing Group | Journal: | npj Urban Sustainability | EISSN: | 2661-8001 | DOI: | 10.1038/s42949-024-00188-3 | Rights: | Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/. © The Author(s) 2024 The following publication Weng, Q., Li, Z., Cao, Y. et al. How will ai transform urban observing, sensing, imaging, and mapping?. npj Urban Sustain 4, 50 (2024) is available at https://doi.org/10.1038/s42949-024-00188-3. |
| Appears in Collections: | Journal/Magazine Article |
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| s42949-024-00188-3.pdf | 1.91 MB | Adobe PDF | View/Open |
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