DATASET

GHS-SDATA R2022A - GHS release R2022A supporting data - 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 - Intermediate data used to support the R2022A production and QC

release. This product include the Landsat image quantity for the multitemporal GHS-BUILT R2022 production; the Landsat multitemporal confidence layer for the multitemporal GHS-BUILT R2022 production; the max NDVI index from Sentinel-2 imagery; the change-map for the GHS-BUILT R2022 multitemporal production; and the UN World Urbanization Prospect 2018 city boundaries estimates for the GHS-POP R2022 multitemporal production.

Contact

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

Contributors

How to cite

Maffenini, Luca; Pesaresi, Martino; Freire, Sergio; Politis, Panagiotis; Schiavina, Marcello (2022): GHS-SDATA R2022A - GHS release R2022A supporting data - OBSOLETE RELEASE. European Commission, Joint Research Centre (JRC) [Dataset] doi: 10.2905/3A1249B2-499A-4E0C-9DC3-518B39575448 PID: http://data.europa.eu/89h/3a1249b2-499a-4e0c-9dc3-518b39575448

Keywords

Built-up multitemporal change map GHS Supporting Data GHS-SDATA GHSL global map LDS confidence LDS quantity S2 MAX NDVI Shadow Relief WUP 2018 cities

Data access

GHS-SDATA_S2MAXNDVI_GLOBE_R2022A
URL 
  • maximal composite of the Normalized Vegetation Index . The data is published at 10m resolution in World Mollweide (EPSG:54009). The compressed ZIP file contain TIF files and short documentation.

GHS-SDATA_LDS-QUANT_GLOBE_R2022A
URL 
  • Landsat data supporting the multi-temporal processing. The data is published at 100m resolution in World Mollweide (EPSG:54009). The compressed ZIP file contain TIF files and short documentation.

GHS-SDATA_WUP2018-BOUNDARIES_GLOBE_R2022A
URL 
  • City boundaries of the UN World Urbanization Prospects 2018 city database (extended unpublished dataset). Boundaries are automatically estimated by iterative

    aggregation of administrative units adjacent to the main unit (determined by WUP city coordinates), using density and compactness criteria to reach the WUP city population data in the available census year

GHS-SDATA_LDS-CONF_GLOBE_R2022A
URL 
  • Confidence of change from Landsat data supporting the multi-temporal processing. The data is published at 100m resolution in World Mollweide (EPSG:54009). The compressed ZIP file contain TIF files and short documentation.

GHS-SDATA_BUILT-CHANGE_GLOBE_R2022A
URL 
  • Multitemporal Built-up change in five epochs (1975-1990-200-2014-2018) . The data is published at 10m resolution in World Mollweide (EPSG:54009). The compressed ZIP file contain TIF files and short documentation.

GHSL website
URL 
  • Project Web site

Publications

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

World

Spatial coverage

Type Value
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
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)
Regions and cities, Science and technology
Update frequency
irregular
Identifier
http://data.europa.eu/89h/3a1249b2-499a-4e0c-9dc3-518b39575448
Popularity
12 Mar 2024: 1 visits