GHS-POP

census classification cog disaster response earth observation geoscience geospatial global mapping planetary population tiff tiles

Description

The spatial raster dataset depicts the distribution of residential population, expressed as the number of people per cell. Residential population estimates between 1975 and 2020 in 5-year intervals and projections to 2025 and 2030 derived from CIESIN GPWv4.11 were disaggregated from census or administrative units to grid cells, informed by the distribution, volume, and classification of built-up as mapped in the Global Human Settlement Layer (GHSL) global layer per corresponding epoch.

Update Frequency

NA

License

The GHSL data are provided under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

Documentation

https://human-settlement.emergency.copernicus.eu/ghs_pop2023.php

Managed By

JRC

See all datasets managed by JRC.

Contact

JRC-GHSL-DATA@ec.europa.eu

How to Cite

GHS-POP was accessed on DATE from https://registry.opendata.aws/ghs-pop.

Usage Examples

Tutorials
Tools & Applications
Publications
  • Advances on the Global Human Settlement Layer by joint assessment of Earth Observation and Population Survey data by PESARESI Martino, SCHIAVINA Marcello, POLITIS Panagiotis, FREIRE Sergio, GOCH Katarzyna, UHL Johannes H., CARIOLI Alessandra, CORBANE Christina, DIJKSTRA Lewis, FLORIO Pietro, FRIEDRICH Hannah K., GAO Jing, LEYK Stefan, LINLIN Lu, MAFFENINI Luca, MARI-RIVERO Ines, MELCHIORRI Michele, SYRRIS Vasileios, VAN DEN HOEK Jamon, KEMPER Thomas
  • GHSL Data Package 2023 by SCHIAVINA Marcello, MELCHIORRI Michele, PESARESI Martino, POLITIS Panagiotis, CARNEIRO FREIRE Sergio Manuel, MAFFENINI Luca, FLORIO Pietro, EHRLICH Daniele, GOCH Katarzyna, CARIOLI Alessandra, UHL Johannes, TOMMASI Pierpaolo, KEMPER Thomas

Resources on AWS

  • Description
    The GHS population spatial raster layer in World Mollweide (EPSG:54009) at 100m and 1000m spatial resolution; also available in WGS 1984 (EPSG:4326) at 3ss and 30ss spatial resolution. Spatial extent is Global and temporal extent is from 1975 to 2030 in 5 years interval
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::jrc-ghsl/ghs-pop
    AWS Region
    eu-central-1
    AWS CLI Access (No AWS account required)
    aws s3 ls --no-sign-request s3://jrc-ghsl/ghs-pop/
    Explore
    Browse Bucket
  • Description
    Notifications for new data
    Resource type
    SNS Topic
    Amazon Resource Name (ARN)
    arn:aws:sns:eu-central-1:291461994469:jrc-ghsl-object_created
    AWS Region
    eu-central-1

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