A Pixel-scale Corrected Nighttime Light Dataset (PCNL, 1992-2023) Combining DMSP-OLS and NPP-VIIRS

We proposed a set of DMSP-OLS and NPP-VIIRS inter-correction methods and produced a pixel-scale corrected nighttime light dataset (PCNL, 1992-2023).

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!

本研究提出了一套DMSP-OLS与NPP-VIIRS跨传感器校正方法，并生成了像素级校正夜间灯光数据集（PCNL，1992-2023）。
本研究选取两套可靠的全球夜间灯光数据集作为基础数据源。其一为CCNL-DMSP（1992-2013），这是一套基于DMSP-OLS生成的一致性校正夜间灯光数据集。CCNL-DMSP主要解决了DMSP-OLS存在的三大核心问题：年际不一致性、饱和效应与辉光效应。此外，本研究还使用了地球观测组（Earth Observation Group）官网发布的年度VNL-VIIRS数据集，并选取了V21版本的月度掩膜中位数数据。经滤波与异常值剔除处理后，VNL-VIIRS数据集已剔除受日光、月光及云层干扰的像元，同时移除了生物质燃烧产生的灯光像元。
PCNL在像素级与区域尺度上均展现出优异的时空一致性。
详细信息请参阅原文：https://doi.org/10.3390/rs15163925
其他近期相关研究成果：
Li S, Cao X*. 2024. 三十年全球人类活动发展模式与阶段监测——基于县级夜间灯光数据的证据. 《国际应用地球观测与地理信息学报（International Journal of Applied Earth Observation and Geoinformation）》, 126卷, 103627. https://doi.org/10.1016/j.jag.2023.103627
更新说明：PCNL数据集已更新至2023年版本，欢迎下载使用！