Abstract: Taking Hefei City, China, as the research area, the carbon emissions of the city were calculated, and then on the basis of the establishment of the mathematical model of the total gray value of lights and the total carbon emissions based on the nighttime light remote sensing data, the spatiotemporal distribution characteristic map of carbon emissions in Hefei City in the past eight years was obtained. to the spatial and temporal characteristics of carbon emissions in Hefei City was analyzed comprehensively using standard deviation ellipse and other methods. The following conclusions are drawn: (1) From the perspective of direct carbon emissions, net carbon emissions are closely related to the carbon sources and carbon sinks of various land use types. Among them, the carbon sink of forest land accounts for more than 70% of the total carbon sink. (2) In terms of indirect carbon emissions, the carbon emissions from building increased from 17, 659, 600 tons in 2010 to 37, 165, 800 tons in 2019, with an increase of 110.5%. (3) Regarding to the spatiotemporal distribution characteristics of carbon emissions in Hefei City, there are obvious peaks and valleys in the east-west direction of Hefei City, with a strong inverted "U"-shaped trend. While in the northsouth direction, it shows a linearly increasing distribution trend from north to south, and the carbon emissions in the south are significantly higher than those in the north.

Key words: night light remote sensing, land use, carbon emissions, temporal and spatial evolution