Abstract
The role of urban carbon dioxide (CO2) emissions has attracted city authorities' attention. Several entities face challenges when developing inventory method for local communities, due to limited data. This study proposes a top-down method to estimate CO2 emissions at an urban scale, using nighttime light imagery and statistical energy data.
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