@inproceedings{dc0ca2ceb6514989aab888d1385b4de7,
title = "Satelite observation of urban metabolism in China",
abstract = "Aggregated to an national level DMSP nighttime lights have a linear relationship to population, gross domestic product, total primary energy consumption, and fossil fuel CO 2 emissions. There is no other remote sensing data source that can claim such a positive correlation to the human enterprise. We propose that moderate resolution nighttime lights (<100 m) could be used to develop models of urban metabolism at spatial scales commensurate with the flow of energy and materials upon which cities rely. Such models could be used to design pathways to sustainable cities for the future.",
keywords = "Energy consumption, Fossil fuel emissions, Gross domestic product, Nighttime lights, Urban",
author = "Elvidge, \{Christopher D.\} and Sutton, \{Paul C.\} and Baugh, \{Kimberly E.\} and Sharolyn Anderson and Tilottama Ghosh and Daniel Ziskin",
year = "2011",
language = "English",
isbn = "9781618394972",
series = "32nd Asian Conference on Remote Sensing 2011, ACRS 2011",
pages = "513--517",
booktitle = "32nd Asian Conference on Remote Sensing 2011, ACRS 2011",
note = "32nd Asian Conference on Remote Sensing 2011, ACRS 2011 ; Conference date: 03-10-2011 Through 07-10-2011",
}