The three northeastern provinces are the main contributors of carbon emissions in China.Analyzing their spatial and tempo-ral evolution of carbon emissions could provide an important scientific basis for formulating and implementing carbon emission reduction strategies.In this paper,DMSP/OLS and NPP/VIIRS data were used to estimate the carbon emissions of the three provinces in north-eastern China in 2004,2009,2014 and 2019,and analyzed their spatial and temporal evolution.The results showed that the fitting co-efficients of carbon emissions and the total light intensity of nighttime light data in the three provinces were greater than 0.7.The night-time light data has good accuracy in estimating carbon emissions.The total amount of carbon emissions in Heilongjiang province and Jilin province is generally a process of'rapid growth-steady growth-slow decline',and the total amount of carbon emissions in Lia-oning province shows fluctuating changes.The Moran's I index of carbon emissions in the three provinces on the municipal scale is grea-ter than 0.9.The spatial agglomeration characteristics of carbon emissions in the three provinces shows a relative agglomeration trend constantly.The carbon emissions of Dalian in Liaoning province are always in a HH agglomeration.
关键词
碳排放/夜间灯光/时空演变/监测评估/遥感
Key words
Carbon emissions/Nighttime lighting/Temporal and spatial evolution/Monitoring and evaluation/Remote sensing
维普
万方数据