ArcGIS REST Services Directory Login | Get Token
JSON

ItemInfo

Item Information

snippet: LandScan Global was developed for the U.S. Department of Defense and is used for rapid consequence and risk assessment as well as emergency planning and management.
summary: LandScan Global was developed for the U.S. Department of Defense and is used for rapid consequence and risk assessment as well as emergency planning and management.
accessInformation: Oak Ridge National Laboratory. Amy N. Rose, Jacob J. McKee, Marie L. Urban, Edward A. Bright, Kelly M. Sims.
thumbnail:
maxScale: 50000
typeKeywords: []
description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>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&amp;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.</SPAN></P></DIV></DIV></DIV>
licenseInfo: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>License required for users outside of the U.S. Federal Government.</SPAN></P></DIV></DIV></DIV>
catalogPath:
title: LandScan 2018 Global Population Database
type:
url:
tags: ["population","population count","LandScan","global population"]
culture: en-US
name:
guid:
minScale: 150000000
spatialReference: