1992-2023年中国分省夜间灯光数据

本数据集基于 1992-2013 年 DMSP-OLS 原始数据与 2013-2023 年 SNPP-VIIRS 原始数据整合生成。采用 “伪不变像素” 方法校准 DMSP-OLS 数据以消除连续性问题，通过指数平滑模型修复 SNPP-VIIRS 月度数据缺失值后合成年度数据，再用 Sigmoid 模型将 SNPP-VIIRS 数据转换为类 DMSP-OLS 格式，最终整合为 1992-2023 年连续时间序列数据。数据空间分辨率 1km×1km，坐标系为 WGS_1984_Albers，除全国尺度数据外，还基于天地图 GS（2024）0650 号行政边界提取 34 个省级、371 个地级市分区数据，可通过哈佛 Dataverse 或指定公众号获取，适用于城市化动态、经济活动评估等研究。

This dataset is compiled from the raw DMSP-OLS data (1992–2013) and raw SNPP-VIIRS data (2013–2023). The DMSP-OLS data was calibrated using the pseudo-invariant pixels method to address continuity issues. Missing values in the monthly SNPP-VIIRS data were imputed via an exponential smoothing model to generate annual composite datasets, followed by converting the SNPP-VIIRS data into a DMSP-OLS-like format using a Sigmoid model. Finally, a continuous time-series dataset spanning 1992–2023 was obtained through integration. The dataset has a spatial resolution of 1 km × 1 km and uses the WGS_1984_Albers coordinate reference system. In addition to the national-scale dataset, partitioned datasets for 34 provincial-level administrative regions and 371 prefecture-level cities were extracted based on the administrative boundaries specified in Tianditu GS (2024) No. 0650. This dataset is accessible via Harvard Dataverse or the designated official WeChat account, and is suitable for research on urbanization dynamics, economic activity assessment, and other related fields.

搜集汇总

背景与挑战

背景概述

该数据集是中国1992-2023年的分省夜间灯光数据，整合了DMSP-OLS和SNPP-VIIRS两种卫星数据，经过校准和修复处理，具有1km×1km的空间分辨率，覆盖全国及各级行政区，适用于城市化动态和经济活动评估等研究。