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LandScan 2016 : Global Population Database

dataset
posted on 2023-08-05, 08:44 authored by Oak Ridge National Laboratory, Edward A. Bright, Amy N. Rose, Marie L. Urban, Jacob J. McKee

Using an innovative approach with Geographic Information Systems and Remote Sensing, ORNL’s LandScan is the community standard for global population distribution. At 30 arc-second (approximately 1 km) resolution, LandScan is the finest resolution global population distribution data available and represents an “ambient population” (average over 24 hours). The LandScan algorithm, an R&D 100 Award Winner, uses spatial data and imagery analysis technologies and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. LandScan population data are spatially explicit - unlike tabular Census data. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices, LandScan population distribution models are tailored to match the data conditions and geographical nature of each individual country and region.

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Oak Ridge National Laboratory

Handle

http://hdl.handle.net/1961/auislandora:70472

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    LandScan Data Archive (Global Raster Population Data)

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