eng dataset Human Dynamics Section, Geospatial Science and Human Security Division, Oak Ridge National Laboratory

landscan@ornl.gov

https://landscan.ornl.gov pointOfContact 2023-08-11 ISO 19139 Geographic Information - Metadata - Implementation Specification 2007 2023-08-11 publication 2023-08-11 creation Human Dynamics Section, Geospatial Science and Human Security Division, Oak Ridge National Laboratory originator mapDigital https://doi.org/10.48690/1524248 LandScan HD is developed for individual countries around the world and provides gridded population estimates at 3 arc-second resolution. The LandScan HD model incorporates current land use and infrastructure data from a variety of sources, applies facility occupancy estimates from ORNL's Population Density Tables (PDT) project, and leverages novel image processing algorithms developed at ORNL to rapidly map building structures and neighborhood areas using high-performance computing environments. In this way, LandScan HD is developed using a 'bottom-up' approach where high resolution population estimates are not dependent on a recently conducted, high quality census. This approach is particularly useful for parts of the world that regularly experience large changes in population distribution due to rapid growth, natural hazards, or conflict. LandScan HD 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. Human Dynamics Section, Geospatial Science and Human Security Division, Oak Ridge National Laboratory; US DOD completed Human Dynamics Section, Geospatial Science and Human Security Division, Oak Ridge National Laboratory

landscan@ornl.gov

pointOfContact population population count LandScan global population theme China place eng The temporal extent is defined as the range of dates of the images used to identify areas of human settlement. 2002-03-17T00:00:00 2019-12-19T00:00:00 true 73.5 15.695 135.0875 53.5616 dataset OpenStreetMap contributors originator DigitalGlobe/Maxar originator National Geospatial-Intelligence Agency (NGA) via the EnhancedView Web-Hosting Service (EVWHS)/Global Enhanced GEOINT Delivery (G-EGD) distributor 2019 to 2023-02-24 publication Oak Ridge National Laboratory originator Central Intelligence Agency originator Army Geospatial Center (AGC) originator Multi-national Geospatial Co-production Program (MGCP) originator National Geospatial-Intelligence Agency (NGA) distributor 2018 publication European Commission, Joint Research Centre (JRC) originator http://doi.org/10.2905/jrc-ghsl-10007 Version 6.2 (Build 9200) ; Esri ArcGIS 10.4.0.5524china_hd173.498333135.08750053.56166715.695000china_hdfile://Z:\Projects\LS_HD\china_all\deliver2\china_hdLocal Area Network00273.498333135.08750015.69500053.5616671GeographicGCS_WGS_1984Angular Unit: Degree (0.017453)<GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.4'><WKT>GEOGCS[&quot;GCS_WGS_1984&quot;,DATUM[&quot;D_WGS_1984&quot;,SPHEROID[&quot;WGS_1984&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433],AUTHORITY[&quot;EPSG&quot;,4326]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>11258999068426.238</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.983152841195215e-009</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4326</WKID><LatestWKID>4326</LatestWKID></GeographicCoordinateSystem>32FALSENone1GRIDFALSEcontinuoussigned integer-2.1474836e+00920230811152351002023081115235100Raster DatasetdatasetEPSG6.14(3.0.1)21073.498333 15.69500073.498333 53.561667135.087500 53.561667135.087500 15.695000104.292917 34.628333739070.000833454400.000833china_hd3220230811