Map Russia LandScan HD data LandScan High Definition (HD) for Russia / LandScan HD Russia v1.0
About this Item
Title
- Russia LandScan HD data
Other Title
- LandScan High Definition (HD) for Russia
- LandScan HD Russia v1.0
Summary
- "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."--Abstract, russia-v1-0.xml
Names
- Oak Ridge National Laboratory. Geospatial Science and Human Security Division. Human Geography Group, cartographer
Created / Published
- [Oak Ridge, Tennessee] : Oak Ridge National Laboratory, Geospatial Science and Human Security Division, Human Geography Group, 2020
Headings
- - Population density--Russia (Federation)--Maps
Genre
- Maps
- Raster data
- Data sets
- Geospatial data
Notes
- - Population (by estimate) as of November 1, 2021.
- - "LandScan HD for Russia was released in October 2020. LandScan High Definition (HD) provides gridded population estimates at 3 arc-second (100m) resolution. Values for each LandScan HD cell represent an ambient (i.e. 24 hour average) population count estimate. In this way, the data capture the full potential activity space of people throughout the course of the day and night rather than just a residential location. 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."--Russian LandScan HD Data website, viewed October 13, 2022.
- - "ORNL's LandScan is a community standard for global population distribution data. At approximately 1 km (30" X 30") spatial resolution, it represents an ambient population (average over 24 hours) distribution. The database is refreshed annually with new versions released in Q3 of each calendar year. The latest LandScan Global dataset is LandScan Global 2019, and previous versions (LandScan Global 2000-2018) continue to be available. LandScan is developed using best available demographic (Census) and geographic data, remote sensing, and imagery analysis techniques within a multivariate dasymetric modeling framework to disaggregate census counts within an administrative boundary. 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, the LandScan Global population distribution is essentially a combination of locally adaptive models that are tailored to match the data conditions and geographical nature of each individual country and region."--LandScan About website, viewed October 13, 2022.
- - "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."--Purpose, russia-v1-0.xml
- - Source: National Geospatial-Intelligence Agency (NGA) via the EnhancedView Web-Hosting Service (EVWHS)/Global Enhanced GEOINT Delivery (G-EGD).
Medium
- datasets
Call Number/Physical Location
- G7061.E2
Repository
- s-Online Electronic Resource
Digital Id
Library of Congress Control Number
- 2021386801
Rights Advisory
- Creative Commons Attribution 4.0 International License DLC http://creativecommons.org/licenses/by/4.0 External
Online Format
- compressed data
LCCN Permalink
Additional Metadata Formats
Part of
Format
Contributor
- Oak Ridge National Laboratory. Geospatial Science and Human Security Division. Human Geography Group