GHS-SMOD R2023A - GHS settlement layers, application of the Degree of Urbanisation methodology (stage I) to GHS-POP R2023A and GHS-BUILT-S R2023A, multitemporal (1975-2030)

Marcello Schiavina; Michele Melchiorri; Martino Pesaresi

doi:https://doi.org/10.2905/A0DF7A6F-49DE-46EA-9BDE-563437A6E2BA

Description

The layers present the application of the Degree of Urbanisation stage I methodology recommended by UN Statistical Commission to the global population grid generated by the JRC in the epochs 1975-2030 (5 years timestep). They have been generated by integration of built-up surface extracted from Landsat and Sentinel-2 image data processing (GHS-BUILT-S R2023), and population data derived from the CIESIN GPW v4.11 (GHS-POP R2023).

This product is an update of the data released in 2022 based on the updates of the GHS-BUILT-S and GHS-POP. The Settlement Model is provided at the detailed level (Second Level - L2). First level can be obtained aggregating L2.

Contact

Email: jrc-ghsl-data (at) ec.europa.eu

Contributors

Marcello Schiavina

0000-0003-3399-3400
Michele Melchiorri

0000-0002-3009-8868
Martino Pesaresi

0000-0003-0620-439X

How to cite

Schiavina, Marcello; Melchiorri, Michele; Pesaresi, Martino (2023): GHS-SMOD R2023A - GHS settlement layers, application of the Degree of Urbanisation methodology (stage I) to GHS-POP R2023A and GHS-BUILT-S R2023A, multitemporal (1975-2030). European Commission, Joint Research Centre (JRC) [Dataset] doi: 10.2905/A0DF7A6F-49DE-46EA-9BDE-563437A6E2BA PID: http://data.europa.eu/89h/a0df7a6f-49de-46ea-9bde-563437a6e2ba

Keywords

Degree of Urbanisation GHS-SMOD GHSL Global map GPW High density clusters low density cluysters rural Settlement model urban centre urban cluster urban-rural population

Data access

GHS-SMOD_GLOBE_R2023A

Use conditions: European Commission reuse notice
Access conditions: No limitations

URL

The data is organised in several datasets, i.e., one GHS settlement grid per each epoch 1975-2030 (5 years timestep). All datasets are offered at low resolution (1km, World Mollweide projection). The compressed ZIP file contain TIF files and GPKG files of the settlements boundaries in 2020; a short documentation is also included.

GHSL website

Use conditions: European Commission reuse notice
Access conditions: No limitations

URL

Project Web site

Publications

Publication 2023

GHSL Data Package 2023

SCHIAVINA, M., MELCHIORRI, M., PESARESI, M., POLITIS, P., CARNEIRO FREIRE, S.M., MAFFENINI, L., FLORIO, P., EHRLICH, D., GOCH, K., CARIOLI, A., UHL, J., TOMMASI, P. and KEMPER, T., GHSL Data Package 2023, Publications Office of the European Union, Luxembourg, 2023, doi:10.2760/098587 (online),10.2760/20212 (print), JRC133256.

Publications Office of the European Union, Luxembourg, Luxembourg

DOI

10.2760/098587

Publication page

Abstract

The Global Human Settlement Layer (GHSL) produces new global spatial information, evidence-based analytics and knowledge describing the human presence on planet Earth. It operates in a fully open and free data and methods access policy. The knowledge generated with the GHSL is supporting the definition, the public discussion and the implementation of European policies and the monitoring of international frameworks such as the 2030 Development Agenda. The GHSL are the core data set of the Exposure Mapping Component under the Copernicus Emergency Management Service. GHSL data continue to support the GEO Human Planet Initiative (HPI) that is committed to developing a new generation of measurements and information products providing new scientific evidence and a comprehensive understanding of the human presence on the planet and that can support global policy processes with agreed, actionable and goal-driven metrics. The Human Planet Initiative relies on a core set of partners committed in coordinating the production of the global settlement spatial baseline data. This document describes the public release of the GHSL Data Package 2023 (GHS P2023). The release provides improved built-up (including surface, volume and height) and population products as well as a new settlement model and classification of administrative and territorial units according to the Degree of Urbanisation.

Publication

Applying the Degree of Urbanisation — A methodological manual to define cities, towns and rural areas for international comparisons

European Commission, and Statistical Office of the European Union, 2021. Applying the Degree of Urbanisation — A methodological manual to define cities, towns and rural areas for international comparisons — 2021 edition Publications Office of the European Union, 2021, ISBN 978-92-76-20306-3 doi:10.2785/706535

URL

Geographic areas

World

Spatial coverage

GML

<gml:Polygon xmlns:gml="http://www.opengis.net/gml">  <gml:outerBoundaryIs>    <gml:LinearRing>      <gml:coordinates>180,90 -180,90 -180,-90 180,-90 180,90</gml:coordinates>    </gml:LinearRing>  </gml:outerBoundaryIs></gml:Polygon>

GML

<gml:Polygon xmlns:gml="http://www.opengis.net/gml/3.2">  <gml:exterior>    <gml:LinearRing>      <gml:posList>180 90 -180 90 -180 -90 180 -90 180 90</gml:posList>    </gml:LinearRing>  </gml:exterior></gml:Polygon>

WKT

POLYGON ((180 90, -180 90, -180 -90, 180 -90, 180 90))

Temporal coverage

From date	To date
1975-01-01	2030-12-31

Additional information

Published by: European Commission, Joint Research Centre
Created date: 2023-04-13
Modified date: 2025-02-27
Issued date: 2023-05-08
Landing page: http://ghsl.jrc.ec.europa.eu/
Language(s): English
Data theme(s): Environment, Regions and cities, Population and society, Science and technology
Update frequency: irregular
Identifier: http://data.europa.eu/89h/a0df7a6f-49de-46ea-9bde-563437a6e2ba
Popularity