Abstract: : In order to calculate the carbon emissions of Jiangsu Province properly and study the spatial distribution of carbon emission in Jiangsu, we did a new research. In consideration of the economic structure and the natural environment in Jiangsu Province, a reasonable carbon emissions’ model is chosen to calculate carbon emissions of every county. In order to do this research on carbon emissions in Jiangsu, five kinds of data have been used to establish the spatial lag model of carbon emission, which are DMSP/OLS night light images, NDVI, population, GDP and industrial gross domestic product data. And all these data have been resampled to the 1km×1km grids, using the established spatial lag model of carbon emission, carbon emission in every1km×1km grid can be predicted. The predicted value is corrected according to the computed value of every county to get a more accurate result. With the corrected value of all these grids, we ultimately got the spatial distribution of carbon emission in Jiangsu. The result shows that distribution of carbon emissions presented as a distinct pattern, it is smaller in Northern Jiangsu than southern area and its lowest value appears in the middle area. In southern area of Jiangsu, the spatial distribution of carbon emission shows a significant “hot-spot” cluster area in Suzhou, Wuxi and Nanjing. As for the spatial distribution of carbon emission in one single county, the significant “hot-spot” cluster area is distributed in urban area. Compared with traditional method of carbon emissions research, which only distributed carbon emissions in every administrative county, the spatial lag model and spatial distribution of carbon emission submitted by this paper is more reasonable. The research can provide more information about the spatial distribution of carbon emissions and changed the storage form of carbon emissions data. Futher more, it help to carry out a comprehensive analysis of multi subject data.