Menschen zählen aus dem All. Möglichkeiten und Grenzen von Satellitendaten zur Abschätzung der Bevölkerungsentwicklung und des Gebäudebestandes in deutschen Städten
AbstractIs it possible to count the earth’s population from outer space? The answer is yes, in urban areas it is possible. However, this can only be done in an indirect manner: by identifying physical objects in the urban landscape in earth observation data and using these to estimate the number of inhabitants. Since the approach is indirect, data protection and the individual right to privacy are fully guaranteed. The data obtained using this method fill a gap, given that municipal population registers do not contain accurate population counts. However, remote sensing technology is not able to provide cadastral information. Nevertheless, as this paper shows, satellite imagery is capable of providing the basis for population estimates for small-scale areas. And, of course, remote sensing data also can be used to estimate the building stock. It would make sense to produce such estimates during the intervals between each building stock census, which is usually conducted every ten years with the population census. Remote sensing data cannot replace a population census, but can enrich the analytical power of population census data.
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Bibliographic InfoPaper provided by German Council for Social and Economic Data (RatSWD) in its series Working Paper Series of the German Council for Social and Economic Data with number 155.
Date of creation: 2010
Date of revision:
Remote Sensing; spatial disaggregation; population estimation; census;
Find related papers by JEL classification:
- J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
- C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
- R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
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