What question did this study set out to answer?

To create a reliable artificial nighttime light dataset for China from 1986 to 2024 addressing previous data limitations.

January 25, 2026Scientific DataOpen Access

An Extended VIIRS-like Artificial Nighttime Light Data Reconstruction (1986–2024)

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Analyses reveal a new annual NTL dataset for China, improving light intensity estimates and structural details.

To create a reliable artificial nighttime light dataset for China from 1986 to 2024 addressing previous data limitations.
Developed a two-stage deep learning model for data reconstruction.
Created initial light estimates using available NTL observations.
Refined estimates with high-resolution impervious surface data.
EVAL dataset significantly improves light intensity estimation compared to existing products.
Exhibits enhanced temporal consistency and stronger correlation with socioeconomic indicators.

Tian et al. (2026) studied this question.

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