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
Contributors
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- Luca Maffenini
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- Martino Pesaresi
- 0000-0003-0620-439X
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- Sergio Freire
- 0000-0003-2282-701X
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- Panagiotis Politis
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- Marcello Schiavina
- 0000-0003-3399-3400
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
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.
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.
City boundaries of the UN World Urbanization Prospects 2018 city database (extended unpublished dataset).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
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.
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.
Project Web site
Publications
- Publications Office of the European Union, Luxembourg, Luxembourg
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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
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 |
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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