Census from Heaven: an estimate of the global human population using night-time satellite imagery
نویسنده
چکیده
Night-time satellite imagery provided by the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP OLS) is evaluated as a means of estimating the population of all the cities of the world based on their areal extent in the image. A global night-time image product was registered to a dataset of 2000 known city locations with known populations. A relationship between areal extent and city population discovered by Tobler and Nordbeck is identi ed on a nation by nation basis to estimate the population of the 22 920 urban clusters that exist in the night-time satellite image. The relationship between city population and city areal extent was derived from 1597 city point locations with known populationthat landed in a ‘lit’ area of the image.Due to conurbation, these 1597 cities resulted in only 1383 points of analysis for performing regression. When several cities fell into one ‘lit’ area their populations were summed. The results of this analysis allow for an estimate of the urban population of every nation of the world. By using the known percent of population in urban areas for every nation a total national populationwas also estimated. The sum of these estimates is a total estimate of the global human population, which in this case was 6.3 billion. This is fairly close to the generally accepted contemporaneous (1997) estimate of the global populationwhich stood at approximately 5.9 billion.
منابع مشابه
DMSP/OLS night-time light imagery for urban population estimates in the Brazilian Amazon
This article analyses DMSP/OLS night-time imagery as an information source to detect human settlements and to estimate the urban population in the Amazon region. DMSP/OLS single orbits were used to generate a DMSP stable light mosaic for 2002, in which most of the urban settlements with a population higher than 5000 inhabitants were precisely identified. DMSP/OLS night-time mosaic images from 1...
متن کاملModeling the Distribution of Human Population with Night-time Satellite Imagery and Gridded Population of the World
The spatial distribution of human population is a fundamental determinant of both the societal impacts and anthropogenic drivers of global change. Version 2 of the Gridded Population of the World (GPW2) is the most recent, detailed global population dataset based solely on administrative unit data. The gridding approach is based on the assumption of uniform spatial distribution of population wi...
متن کاملThe sand dunes migration patterns in Mesr Erg region using satellite imagery analysis and wind data
Understanding the situation, behavior and the nature of sand dunes and also their location, transport and deposition are very important. On the other hand, the importance of sand dunes is due to the impacts that they have on water and soil resources, flora and fauna and human infrastructure. This study, looks at the development patterns of sand dunes in Mesr erg region. In the first part, data ...
متن کاملPopulation Density and Image Texture: A Comparison Study
The correlation between census population density and Ikonos image texture was explored. The spatial unit for the analysis was census blocks with homogenous land-use. Ikonos image texture was described using three methods: the graylevel co-occurrence matrix (GLCM), semi-variance, and spatial metrics. Linear regression was conducted to explore the correlation between image texture and population...
متن کاملSpatial and temporal changes in household structure locations using high-resolution satellite imagery for population assessment: an analysis in southern Zambia, 2006-2011.
Satellite imagery is increasingly available at high spatial resolution and can be used for various purposes in public health research and programme implementation. Comparing a census generated from two satellite images of the same region in rural southern Zambia obtained four and a half years apart identified patterns of household locations and change over time. The length of time that a satell...
متن کامل