Abstract: In order to more accurately analyze the spatiotemporal distribution of carbon emissions in Beijing-Tianjin-Hebei counties, DMSP-OLS and NPP-VIIRS nighttime light (NTL) data were corrected by LST and EVI Regulated NTL City Index (LERNCI) and light threshold, respectively, and pixel-level carbon emission models with 1 km resolution were constructed from 2000 to 2016 by combining carbon emission statistics from 30 provinces in China. The spatiotemporal patterns of carbon emissions and influencing factors in Beijing-Tianjin-Hebei region were analyzed. The results show that: (1) the average relative error of carbon emission simulation in the regression model of unary quadratic polynomial carbon emission is 0.37%, which can be used for carbon emission analysis. (2) Carbon emissions in Beijing-Tianjin-Hebei region shows a trend of first rising and then falling. Due to the implementation of energy conservation and emission reduction measures, carbon emissions appears an inflection point in 2013. The key areas of carbon emissions are located in the "Beijing-Tianjin-Tang" region. (3) Population size and proportion of secondary industry are positively correlated with carbon emission, but their influence is weakening. Per capita GDP is negatively correlated with carbon emissions; Urbanization rate, fixed asset investment and social labor productivity have positive impetus to carbon emission.