在2013-2019年期间,在中国的多个规模上通过增强的人口光指数对CO2排放量进行分类,并通过增强的人口光指数对其趋势进行表征

Bin Guo1, Tingting Xie1, Wencai Zhang2

  • 1College of Geomatics, Xi'an University of Science and Technology, Xi'an, Shaanxi 710054, China.

PubMed
概括

这项研究开发了使用夜间灯光和人口密度的增强人口光指数 (RPNTL),以提高碳排放 (CE) 估计准确度. 该RPNTL方法显著提高了CE预测,特别是在农村地区,有助于碳控制战略.

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