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

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

doi:https://doi.org/10.5194/essd-17-5675-2025

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

Data sets

A high-quality daily nighttime light (HDNTL) dataset for global 600+ cities (2012–2024) Zixuan Pei et al. https://doi.org/10.5281/zenodo.17079409

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.