Mapping the World Population One Building at a Time

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dc.creatorTiecke, Tobias G.
dc.creatorLiu, Xianming
dc.creatorZhang, Amy
dc.creatorGros, Andreas
dc.creatorLi, Nan
dc.creatorYetman, Gregory
dc.creatorKilic, Talip
dc.creatorMurray, Siobhan
dc.creatorBlankespoor, Brian
dc.creatorPrydz, Espen B.
dc.creatorDang, Hai-Anh H.
dc.date2020-05-05T16:33:14Z
dc.date2020-05-05T16:33:14Z
dc.date2017-12-15
dc.date.accessioned2026-07-01T00:44:19Z
dc.descriptionHigh resolution datasets of population density which accurately map sparsely distributed human populations do not exist at a global scale. Typically, population data is obtained using censuses and statistical modeling. More recently, methods using remotely-sensed data have emerged, capable of effectively identifying urbanized areas. Obtaining high accuracy in estimation of population distribution in rural areas remains a very challenging task due to the simultaneous requirements of sufficient sensitivity and resolution to detect very sparse populations through remote sensing as well as reliable performance at a global scale. Here, the authors present a computer vision method based on machine learning to create population maps from satellite imagery at a global scale, with a spatial sensitivity corresponding to individual buildings and suitable for global deployment.
dc.formatapplication/pdf
dc.formattext/plain
dc.identifierhttp://documents.worldbank.org/curated/en/439381588065763562/Mapping-the-World-Population-One-Building-at-a-Time
dc.identifierhttps://hdl.handle.net/10986/33700
dc.identifier10.1596/33700
dc.identifier.urihttp://hdl.handle.net/123456789/410183
dc.languageEnglish
dc.publisherWorld Bank, Washington, DC
dc.rightsCC BY 3.0 IGO
dc.rightshttp://creativecommons.org/licenses/by/3.0/igo
dc.rightsWorld Bank
dc.subjectPOPULATION DENSITY
dc.subjectPOPULATION ESTIMATE
dc.subjectSATELLITE IMAGERY
dc.subjectPOPULATION DISTRIBUTION
dc.titleMapping the World Population One Building at a Time
dc.typeWorking Paper
dc.typeDocument de travail
dc.typeDocumento de trabajo

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