Modelling spatiotemporal carbon dioxide emission at the urban scale based on DMSP-OLS and NPP-VIIRS data: A case study in China

Abstract

Carbon emissions from urban areas are pivotal in meeting emission reduction targets. While carbon emissions in the coastal areas of urban China have been clarified, those for central cities in the west remain limited, despite rapid economic development likely raising them. Here, we developed a model to estimate carbon emissions from land under construction in urban areas of Chengdu, China, using remote sensing data and carbon emission statistics. The spatial distribution of carbon emissions was quantified from spatial analyses using a geographic information system (GIS). The feasibility of the proposed model for estimating urban carbon emissions was supported by the high R2 for estimated and statistical carbon emissions (>0.87) and the F-test (F-statistic >112.59). During 2000–2015, carbon emissions from construction land increased substantially (by 19.09 Mg C), with emissions increasing from core cities and beyond. Carbon emissions clearly differed among construction areas in Chengdu's districts, adjacent counties, and outer counties. The results of this study could help guide the development of policies and plans for managing carbon emissions, emission density, and urban sustainability.