We proposed a set of DMSP-OLS and NPP-VIIRS inter-correction methods and produced a pixel-scale corrected nighttime light dataset (PCNL, 1992-2021).

Two sets of reliable global nighttime light datasets were chosen as the basis. CCNL-DMSP (1992-2013) is a consistent and corrected nighttime light dataset produced from DMSP-OLS. CCNL-DMSP mainly solved three problems of DMSP-OLS, namely, interannual inconsistency, saturation and blooming. The annual VNL-VIIRS dataset available on the Earth Observation Group website was also used, and the monthly median masked data of V21 was selected. Using filtering and employing outlier removal, VNL-VIIRS has removed sunlit, moonlit and cloudy pixels, and has discarded biomass burning pixels.

PCNL shows a great temporal and spatial consistency at both the pixel scale and the regional scale.

Please refer to the paper for detailed information. https://doi.org/10.3390/rs15163925

Other recent related publications:

Li, S., Cao, X.*, (2024). Monitoring the modes and phases of global human activity development over 30 years: Evidence from county-level nighttime light.  International Journal of Applied Earth Observation and Geoinformation, 126, 103627. https://doi.org/10.1016/j.jag.2023.103627

Updata notes: PCNL dataset has been updated to 2023, welcome to download! Please select the newer version to download.