Analysis of Spatial and Temporal Changes of Carbon Emissions in the Three Provinces of Northeastern China Based on Nighttime Light Data
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.
Carbon emissionsNighttime lightingTemporal and spatial evolutionMonitoring and evaluationRemote sensing
万方数据
维普
