Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 17, issue 10
Articles | Volume 17, issue 10
https://doi.org/10.5194/essd-17-5675-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-5675-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 10
Data description paper
 | 
28 Oct 2025
Data description paper |  | 28 Oct 2025

A high-quality daily nighttime light (HDNTL) dataset for global 600+ cities (2012–2024)

Zixuan Pei, Xiaolin Zhu, Yang Hu, Jin Chen, and Xiaoyue Tan

Viewed

Total article views: 2,862 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,399 410 53 2,862 55 80
  • HTML: 2,399
  • PDF: 410
  • XML: 53
  • Total: 2,862
  • BibTeX: 55
  • EndNote: 80
Views and downloads (calculated since 07 May 2025)
Cumulative views and downloads (calculated since 07 May 2025)

Viewed (geographical distribution)

Total article views: 2,862 (including HTML, PDF, and XML) Thereof 2,780 with geography defined and 82 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Dec 2025
Download
Short summary
Nighttime light (NTL) data aids urban planning and disaster monitoring. Our study introduces HDNTL, a daily NTL dataset for 653 major cities (population >1 M by 2025) from 2012–2024, enhancing NASA's VNP46A2 accuracy by correcting spatial mismatches, angular effects, and filling small data holes via spatiotemporal interpolation. Validated against high-resolution NTL datasets and ground-truth records, HDNTL enables precise monitoring of nighttime human activities.
Read more
Share
Altmetrics
Final-revised paper
Preprint