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Global Human Settlement Layer

The Global Human Settlement Layer (GHSL) project of the European Commission's Joint Research Centre provides spatially detailed information on population and settlements. The GHSL project fosters an enhanced, public understanding of the human presence on Earth. The 2023 GHSL edition contributes significantly to understanding worldwide human settlements. It introduces new elements, like 10m resolution, sub-pixel estimation of built-up surfaces, global building height and volume estimates, and a classification of residential and non-residential areas, improving population density grids.

Default

IdentificationAbout this resource

Alternate Identifier

47d89bcb-8e14-41d2-a245-70fd6b95e124

Publication Date
2024-08-30
Title

Global Human Settlement Layer

Short Name

GHSL

Abstract

The Global Human Settlement Layer (GHSL) project of the European Commission's Joint Research Centre provides spatially detailed information on population and settlements. The GHSL project fosters an enhanced, public understanding of the human presence on Earth. The 2023 GHSL edition contributes significantly to understanding worldwide human settlements. It introduces new elements, like 10m resolution, sub-pixel estimation of built-up surfaces, global building height and volume estimates, and a classification of residential and non-residential areas, improving population density grids.

Dataset Language

English

 
Dataset Creator
  Directorate for Societal Resilience and Security, European Commission, Joint Research Centre (JRC) - Martino Pesaresi ()

Dataset Creator
  NTT DATA - Marcello Schiavina ()

Dataset Creator
  European Dynamics Belgium S.A. - Panagiotis Politis ()

Dataset Creator
  Directorate for Societal Resilience and Security, European Commission, Joint Research Centre (JRC) - Sergio Freire ()

Dataset Creator
  Polish Academy of Sciences - Katarzyna Krasnodębska ()

Dataset Creator
  Directorate for Societal Resilience and Security, European Commission, Joint Research Centre (JRC) - Johannes H. Uhl ()

Dataset Creator
  Directorate for Societal Resilience and Security, European Commission, Joint Research Centre (JRC) - Alessandra Carioli ()

Dataset Creator
  Directorate for Societal Resilience and Security, European Commission, Joint Research Centre (JRC) - Cristina Corbane ()

Dataset Creator
  Directorate for Fair and Sustainable Economy, European Commission Joint Research Centre (JRC) - Lewis Dijkstra ()

Dataset Creator
  Directorate for Societal Resilience and Security, European Commission, Joint Research Centre (JRC) - Pietro Florio ()

Dataset Creator
  University of Arizona - Hannah K. Friedrich ()

Dataset Creator
  University of Delaware - Jing Gao ()

Dataset Creator
  University of Colorado Boulder - Stefan Leyk ()

Dataset Creator
  International Research Center of Big Data for Sustainable Development Goals | Chinese Academy of Sciences - Linlin Lu ()

Dataset Creator
  UniSystems Luxembourg Sàrl - Luca Maffenini ()

Dataset Creator
  FINCONS SPA - Ines Mari-Rivero ()

Dataset Creator
  Directorate for Societal Resilience and Security, European Commission, Joint Research Centre (JRC) - Michele Melchiorri ()

Dataset Creator
  European Union Intellectual Property Office (EUIPO) - Vasileios Syrris ()

Dataset Creator
  Oregon State University - Jamon Van Den Hoek ()

Dataset Creator
  Directorate for Societal Resilience and Security, European Commission, Joint Research Centre (JRC) - Thomas Kemper ()

Metadata Provider
  SIB Swiss Institute of Bioinformatics - Chiara Bortoluzzi (Data Manager)

Dataset Contact
  Directorate for Societal Resilience and Security, European Commission, Joint Research Centre (JRC) - Martino Pesaresi ()

Keywords (None)
  • Urbanisation

  • Global

  • Human Settlement

  • Settlement morphology

  • Terrestrial

  • Urban land use

Geographic Coverage

Geographic Description

Global

Bounding Box

West Bounding Coordinate

-180

East Bounding Coordinate

180

North Bounding Coordinate

90

South Bounding Coordinate

-90

Temporal Coverage

Range of Dates

Begin Date

1975-01-01

End Date

2030-12-31

resourceLicensesLicense Information

Intellectual Rights

This work is licensed under a Creative Commons Attribution 4.0 International Licence

Resource License

License Name

Creative Commons CC0

URL
https://creativecommons.org/licenses/by/4.0/
Acknowledgements
 

Distribution

Online

A brief description of the the content of online URL.

GHS-BUILT-S-R2023A

URL
https://human-settlement.emergency.copernicus.eu/ghs_buS2023.php

Distribution

Online

A brief description of the the content of online URL.

GHS-POP-R2023A

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

Project

• Project

Title

Global Human Settlement Layer (GHSL)

Abstract

The GHSL image analytics framework has been tested with a large set of sensors including radar and optical public and commercial missions. The GHSL Data Package P2023 consists of multitemporal products that offer an insight into the human presence in the past (1975, 1990, 2000, and 2014). The European Settlement Map consists of pan-European built-up layers derived from higher resolution imagery.

Personnel

Organization Name

Individual Name

Given Name
Surname
Position Name
 
 

Methods

• Method

Method Step

Description

The spatial raster dataset depicts the distribution of built-up surfaces, expressed as number of square metres. The data report about the total built-up surface and the built-up surface allocated to dominant non-residential (NRES) uses. Data are spatial-temporal interpolated or extrapolated from 1975 to 2030 in 5 years internals. For the temporal anchor point of 2018 the data is published at 10m observed form the S2 image data.

Citation

Pesaresi M., Schiavina M., Politis P., Freire S., Krasnodębska K., Uhl J. H., Carioli A., Corbane C., Dijkstra L., Florio P., Friedrich H. K., Gao J., Leyk S., Lu L., Maffenini L., Mari-Rivero I., Melchiorri M., Syrris V., Van Den Hoek J., Kemper T. Advances on the Global Human Settlement Layer by joint assessment of Earth Observation and population survey data, International Journal of Digital Earth 17 (1), 2024 10.1080/17538947.2024.2390454.

Software

Title

GHS-BUILT-S R2023A - GHS built-up surface grid, derived from Sentinel2 composite and Landsat, multitemporal (1975-2030)

Version

1.0

Method Step

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.

Citation

Pesaresi M., Schiavina M., Politis P., Freire S., Krasnodębska K., Uhl J. H., Carioli A., Corbane C., Dijkstra L., Florio P., Friedrich H. K., Gao J., Leyk S., Lu L., Maffenini L., Mari-Rivero I., Melchiorri M., Syrris V., Van Den Hoek J., Kemper T. Advances on the Global Human Settlement Layer by joint assessment of Earth Observation and population survey data, International Journal of Digital Earth 17 (1), 2024 10.1080/17538947.2024.2390454.

Software

Title

GHS-POP R2023A - GHS population grid multitemporal (1975-2030)

Version

1.0

 
 

Data Tables

• Data Table

Name

Physical

Data Format

Externally Defined Format

Format Name

GeoTIFF

 
 






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