Population detection profiles of DMSP-OLS night-time imagery by regions of the world
Population detection profiles of DMSP-OLS night-time imagery by regions of the world
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DOI：
10.7125/apan.30.22
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发表时间：
2010-12
期刊：
影响因子：
--
通讯作者：
Christopher Doll
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文献类型：
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作者：
Christopher Doll
夜间光图像的一个新兴应用集中在估计全球电力获取水平（Doll & Pachauri，2010; Elvidge等人，2010年）。这些研究的一个核心考虑是人口密度，这可以从夜间光图像中一致地检测到。虽然许多研究已经解决了光和人口统计的关系，以预测人口，空间明确的人口数据库的使用允许这些关系的更详细的描述。本文报告了两个可供选择的网格化人口数据集的不同检测配置文件的变化。这些数据按区域分列，以揭示我们可以假设的世界不同地区可观察到的人口的巨大对比。在发展水平方面出现了一种动态趋势，假设最发达国家是理论上可观察到的最低人口密度。除了有助于分析世界上没有电力供应的地区之外，更重要的是，这项分析解决了一个关于夜间照明的基本问题，以及它与全球人口的关系，特别是两个常用人口数据库的相对优点。
One emerging application of night-time light imagery focuses on estimating levels of access to electricity globally (Doll & Pachauri, 2010; Elvidge et al., 2010). A central consideration of such studies is the population density which can be consistently detected from night-time light imagery. Whilst numerous studies have addressed the relationship to light and population statistics in order to predict population, the use of spatially explicit population databases allows for a more detailed description of these relationships. This paper reports the variation of different detection profiles of two publically available gridded population datasets. These are disaggregated by region to reveal a vast contrast in what we may assume to be observable population in different parts of the world. A dynamic trend emerges with respect to levels of development with the most developed nations hypothesized to be the theoretical minimum observable population density. Beyond contributing to the analysis of areas of the world without access to electricity, more fundamentally, this analysis addresses a basic question about night-time lights and how it relates to population globally and in particular the relative merits of two commonly used population databases.