摘要
本文采用1994年10月～1995年3月间的夜间卫星影像编绘经济和与能源相关的全球性地图。考虑到一个城市的照明面积,并将此点与一些辅助统计信息相结合,我们对利用夜间影像定量地估算全球社会经济参数的可能性进行了分析。利用照明面积和城镇人口之间的关系来推算国家水平上的各种关系,从而尝试估算全球的城镇人口,这占了引用总量的90%以上。此外,一个国家的照明区总面积与其他参数的在统计上高度相关,特别是国内生产总值(CDP)和总二氧化碳(CO_2)排放量这两者。由于传感器空间分辨率的原因,还由于中央计划经济国家夜间照明与其他参数的相关关系较差,这一新技术受到了限制。但这些调查结果仍表明,未来这类参数的全球综合制图有着极大的潜力。
Night-time satellite imagery acquired between October 1994 and March 1995 is here exploited to derive economic and energy-related global maps. By considering the lit area of a city, and combining this with ancillary statistical information, an analysis was performed designed to investigate the potential of night-time imagery for quantitative estimation of global socioeconomic parameters. An attempt to estimate global urban population using correlations of lit area and urban populations to derive country-level relationships accounted for over 90% of the quoted total. Furthermore, the total lit area of a country has a statistically significant high correlation value with other parameters, specifically Gross Domestic Product (GDP) and total carbon dioxide (CO2) emission. The new technique is limited by the spatial resolution of the sensor and the poorer correlation using night-time lights for centrally-planned economies. These findings offer great potential for synoptic global mapping of such parameters in the future.Ambio, Vol. 29, No. 3, pp. 157-162, 2000
