Integrating panoptic-AI and multi-source observations for daytime dynamic CO2 increment prediction in urban traffic networks

Journal:

Sustainable Cities and Society

Published:

2025-08-15

DOI:

10.1016/j.scs.2025.106730

Affiliations:

4

Authors:

10

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Institutions	Authors	Share
State Key Laboratory of Remote Sensing and Digital Earth, China	5.500000	0.55
Shenzhen Ecology and Environment Bureau, China	3.000000	0.30
The University of Hong Kong (HKU), China	1.000000	0.10
University of Chinese Academy of Sciences (UCAS), China	0.500000	0.05

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