Menschen zählen aus dem All. Möglichkeiten und Grenzen von Satellitendaten zur Abschätzung der Bevölkerungsentwicklung und des Gebäudebestandes in deutschen Städten
Is 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.
|Date of creation:||2010|
|Contact details of provider:|| Web page: http://www.ratswd.de/eng/index.html|
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- de la Grandville,Olivier, 2009. "Economic Growth," Cambridge Books, Cambridge University Press, number 9780521725200, December.
- Vernon Henderson & Adam Storeygard & David N. Weil, 2009.
"Measuring Economic Growth from Outer Space,"
2009-8, Brown University, Department of Economics.
- de la Grandville,Olivier, 2009. "Economic Growth," Cambridge Books, Cambridge University Press, number 9780521898010, December.
- Xi Chen & William D. Nordhaus, 2010.
"The Value of Luminosity Data as a Proxy for Economic Statistics,"
Cowles Foundation Discussion Papers
1766, Cowles Foundation for Research in Economics, Yale University.
- Xi Chen & William D. Nordhaus, 2010. "The Value of Luminosity Data as a Proxy for Economic Statistics," NBER Working Papers 16317, National Bureau of Economic Research, Inc.
When requesting a correction, please mention this item's handle: RePEc:rsw:rswwps:rswwps155. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (RatSWD)
If references are entirely missing, you can add them using this form.