Authors: Amy Rose*, Oak Ridge National Laboratory, Eric Weber, Oak Ridge National Laboratory, Jake McKee, Oak Ridge National Laboratory, Budhendra Bhaduri, Oak Ridge National Laboratory, Robert Stewart, Oak Ridge National Laboratory
Topics: Population Geography, Spatial Analysis & Modeling, Remote Sensing
Keywords: LandScan HD, population, settlement
Session Type: Paper
Start / End Time: 8:00 AM / 9:40 AM
Room: Napoleon A3, Sheraton, 3rd Floor
Presentation File: No File Uploaded
Models of human population distribution are increasingly in demand to address societal issues, from human health and security to urban resiliency and sustainability. As new or repurposed methods and data emerge, substantial progress is being made within the modeling community to create population layers with higher spatial, temporal, and demographic resolution. One such effort is LandScan HD, which leverages decades of expertise in population modeling at Oak Ridge National Laboratory. LandScan HD is conceived as a 3 arc-second global scale model that adopts a flexible data-driven approach to capture geographic or sociocultural conditions specific to each area. One of the key elements of LandScan HD, like other LandScan models, is that the distribution of people is a count portrayed using whole numbers rather than a density. This approach requires the fusion of settlement areas and neighborhood types extracted from high resolution imagery, as well as building level data, so as to narrow the spatial scope of the human footprint while at the same time accounting for different patterns of human settlement within those areas.