 This study explores the use of remotely sensed nighttime lights from the Suomi NPPVIRS to assess CO2 emissions from different industries, such as service industry CO2 emissions, SC, traffic CO2 emissions, TC, and secondary industry CO2 emissions, IC. The study found that without considering other factors, the nighttime lights only revealed up to 51.2% of TC, followed by 41.7% of IC and 22.7% of SC. When controlling for city characteristic variables, the models show positive correlations between the Suomi NPPVIRS data and SC, IC, and TC, and that nighttime lights have an inverted U relationship with SC. The study suggests that the Suomi NPPVIRS data are more suitable for revealing SC, TC, and IC in medium-sized and large-sized cities than in small-sized cities and mega-cities. This article was authored by Kai Fangshu, Jing Weishan, Yixing Wu, and others. We are article.tv, links in the description below.