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Deep-learning-based sub-meter urban construction-site mapping reveals China's dual-track urban renewal.

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Title: Deep-learning-based sub-meter urban construction-site mapping reveals China's dual-track urban renewal.
Authors: Li, Jiayi1 (AUTHOR), Wang, Wenrui2 (AUTHOR), Huang, Xin1 (AUTHOR), Pan, Xiaofeng3 (AUTHOR), Ma, Song3 (AUTHOR), Chen, Bin4 (AUTHOR), Zhang, Liangpei2 (AUTHOR)
Source: National Science Review. Apr2026, Vol. 13 Issue 7, p1-14. 14p.
Database: Academic Search Ultimate
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  Data: Deep-learning-based sub-meter urban construction-site mapping reveals China's dual-track urban renewal.
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  Data: <searchLink fieldCode="JN" term="%22National+Science+Review%22">National Science Review</searchLink>. Apr2026, Vol. 13 Issue 7, p1-14. 14p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=193414139
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1093/nsr/nwag141
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      – Code: eng
        Text: English
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        PageCount: 14
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      – TitleFull: Deep-learning-based sub-meter urban construction-site mapping reveals China's dual-track urban renewal.
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            – D: 01
              M: 04
              Text: Apr2026
              Type: published
              Y: 2026
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