DATASET

GHS-BUILT-LAU2STAT R2022A - GHS built-up surface statistics in European LAU2, multitemporal (1975-2020) - OBSOLETE RELEASE

Collection: GHSL : Global Human Settlement Layer 

Description

OBSOLETE RELEASE - The use of the GHSL Data Package 2022 (GHS P2022) is currently not recommended. CHECK FOR THE MOST UPDATED VERSION OF GHSL DATASETS AT https://ghsl.jrc.ec.europa.eu/datasets.php - This product contains the summary statistics of GHS-BUILT-S multi-temporal (1975-2020) at Local Administrative Unit Level 2 (LAU2) from the 2020 layer provided

by GISCO. For each LAU2 the table contains the sum of built-up surface (GHS-BUILT-S R2022) between 1975 and 2020 in 5 years interval, expressed in square kilometres.

Contact

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

Contributors

How to cite

Schiavina, Marcello; Melchiorri, Michele (2022): GHS-BUILT-LAU2STAT R2022A - GHS built-up surface statistics in European LAU2, multitemporal (1975-2020) - OBSOLETE RELEASE. European Commission, Joint Research Centre (JRC) [Dataset] doi: 10.2905/94D62A61-25D0-42FD-9E1E-A41F877CF788 PID: http://data.europa.eu/89h/94d62a61-25d0-42fd-9e1e-a41f877cf788

Keywords

Built-up surface EU Europe GHS BUILT GHS-BUILT GHS-BUILT-S GHSL LAU2 SDG 11 SDG monitoring

Data access

GHS-BUILT-LAU2STAT_EUROPE_R2022A
URL 
  • This product contains the summary statistics of GHS-BUILT-S multi-temporal (1975-2020) at Local Administrative Unit Level 2 (LAU2) from the 2020 layer provided

    by GISCO. For each LAU2 the table contains the sum of built-up surface (GHS-BUILT-S) between 1975 and 2020 in 5 years interval, expressed in square kilometres.

GHSL website
URL 
  • Project Web site

Localising the SDGs
URL 
  • Project Web site

Publications

Publication 2022
Built-up areas are expanding faster than population growth: regional patterns and trajectories in Europe
Schiavina, M., Melchiorri, M., Corban, C., Carneiro Freire, S.M. and Batista E Silva, F., Built-up areas are expanding faster than population growth: regional patterns and trajectories in Europe, JOURNAL OF LAND USE SCIENCE, ISSN 1747-423X (online), 2022, p. 1-18, JRC126757.
  • TAYLOR & FRANCIS LTD, ENGLAND
Publication page 
  • Abstract

    Human settlements typically expand to accommodate additional housing demand from a growing population and their socio-economic activities. This implies consumption of land, a limited resource necessary for many other goods and services. The efficiency of this exploitation in relation to demographic trends is key to preserve soils and natural capital that could otherwise be lost or degraded. Here we assess recent (2000 – 2015) patterns of population and built-up growth, the latter assessed through remote sensing. We find that built-up areas have been growing at a faster pace than population on average for the EU27 and that built-up areas expand even where population declines. We quantify the impact of future population growth under different assumptions on future built-up efficiency. Keeping current built-up per capita fixed could preserve up to 9,000 km2 of land until 2030, mostly in predominantly rural and intermediate regions, where land use efficiency is low and has been declining.

Publication 2022
European Handbook for SDG Voluntary Local Reviews - 2022 Edition
Siragusa, A., Stamos, I., Bertozzi, C. and Proietti, P., European Handbook for SDG Voluntary Local Reviews - 2022 Edition, EUR 31111 EN, Publications Office of the European Union, Luxembourg, 2022, ISBN 978-92-76-53389-4 (online),978-92-76-53390-0 (print), doi:10.2760/355330 (online),10.2760/218321 (print), JRC129381.
  • Publications Office of the European Union, Luxembourg, Luxembourg
Publication page 
  • Abstract

    The European Handbook for SDG Voluntary Local Reviews – 2022 edition provides policy makers, urban practitioners and experts with a consolidated method and examples of indicators that European local and regional governments can use to monitor the achievement of the Sustainable Development Goals (SDGs).

    The Voluntary Local Reviews (VLRs) are processes that encompass both the monitoring and the analysis of the achievements with respect to the SDGs at local level. The 2022 edition builds on the first one published in 2020 and it includes an updated analysis of the VLRs published globally and in Europe, their evolution over time and space in terms of use, main characteristics, and building blocks. The European Handbook includes detailed and updated information on 72 indicators and related data sources, which can enable cities to measure their progress toward the 2030 Agenda for Sustainable Development. The set of indicators includes examples of both official and experimental indicators, coming from international and European institutions, but also regional and local governments and research institutes. Finally, the European Handbook provides new insights into local SDG monitoring, including reference to new challenges and opportunities. The European Handbook for SDG Voluntary Local Reviews – 2022 edition represents a step forward in the support for European local and regional governments in localising the SDGs using the Voluntary Local Reviews (VLRs).

Publication 2022
GHSL Data Package 2022
Schiavina, M., Melchiorri, M., Pesaresi, M., Politis, P., Carneiro Freire, S.M., Maffenini, L., Florio, P., Ehrlich, D., Goch, K., Tommasi, P. and Kemper, T., GHSL Data Package 2022, Publications Office of the European Union, Luxembourg, 2022, ISBN 978-92-76-53071-8 (online),978-92-76-53070-1 (print), doi:10.2760/19817 (online),10.2760/526478 (print), JRC129516.
  • Publications Office of the European Union, Luxembourg, Luxembourg
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. This release is the first official contribution of GHSL to the Copernicus services. 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 2022 (GHS P2022). 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.

Geographic areas

European Union

Spatial coverage

Type Value
GML
<gml:Polygon xmlns:gml="http://www.opengis.net/gml">  <gml:outerBoundaryIs>    <gml:LinearRing>      <gml:coordinates>-79.7,88.92 62.29,88.92 62.29,-26.64 -79.7,-26.64 -79.7,88.92</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>-79.7 88.92 62.29 88.92 62.29 -26.64 -79.7 -26.64 -79.7 88.92</gml:posList>    </gml:LinearRing>  </gml:exterior></gml:Polygon>
WKT
POLYGON ((-79.7 88.92, 62.29 88.92, 62.29 -26.64, -79.7 -26.64, -79.7 88.92))

Temporal coverage

From date To date
1975-01-01 2020-12-31

Additional information

Published by
European Commission, Joint Research Centre
Created date
2022-06-01
Modified date
2023-05-08
Issued date
2022-06-25
Landing page
http://ghsl.jrc.ec.europa.eu/ 
Language(s)
English
Data theme(s)
Environment, Regions and cities
Update frequency
irregular
Identifier
http://data.europa.eu/89h/94d62a61-25d0-42fd-9e1e-a41f877cf788
Popularity
24 Mar 2024: 1 visits