84 GHSL_Data_Tools

	Project metadata
Project Title	GHSL_Data_Tools
Owners	Copernicus
Project Abstract	The Global Human Settlement Layer (GHSL) project is supported by European Commission, Joint Research Centre and Directorate-General for Regional and Urban Policy. The GHSL produces new global spatial information, evidence-based analytics, and knowledge describing the human presence in the planet. The GHSL relies on the design and implementation of new spatial data mining technologies allowing to process automatically and extract analytics and knowledge from large amount of heterogeneous data including: global, fine-scale satellite image data streams, census data, and crowd sources or volunteering geographic information sources. Spatial data reporting objectively and systematically about the presence of population and built-up infrastructures are necessary for any evidence-based modelling or assessing of i) human and physical exposure to threats as environmental contamination and degradation, natural disasters and conflicts, ii) impact of human activities on ecosystems, and iii) access to resources. The project produces thematic information and evidence-based analytical knowledge supporting the implementation of EU regional urban policy and the 4 international post-2015 frameworks, namely: Sustainable Development Goals, Global Urban Agenda, Climate Change and the Sendai Framework for Disaster Risk Reduction. Also, the project supports international scientific partnerships facilitating science-policy interface in the frame of the Group of Earth Observation (GI-21: Human Planet Initiative https://www.earthobservations.org/activity.php?id=51 ), and bi-lateral scientific collaborations with space agencies and scientific organizations of Brazil, China and South Africa. Project home page: http://ghsl.jrc.ec.europa.eu/ SciHub page: https://ec.europa.eu/jrc/en/scientific-tool/global-human-settlement-layer?search The collection consists in three main type of products: built-up (GHS-BUILT), population (GHS-POP) grids, and city model (GHS-SMOD). The datasets are published as raster files together with pyramids (i.e., TIF and OVR files).

Project metadata

Project Title

GHSL_Data_Tools

Owners

Copernicus

Project Abstract

The Global Human Settlement Layer (GHSL) project is supported by European Commission, Joint Research Centre and Directorate-General for Regional and Urban Policy. The GHSL produces new global spatial information, evidence-based analytics, and knowledge describing the human presence in the planet. The GHSL relies on the design and implementation of new spatial data mining technologies allowing to process automatically and extract analytics and knowledge from large amount of heterogeneous data including: global, fine-scale satellite image data streams, census data, and crowd sources or volunteering geographic information sources. Spatial data reporting objectively and systematically about the presence of population and built-up infrastructures are necessary for any evidence-based modelling or assessing of i) human and physical exposure to threats as environmental contamination and degradation, natural disasters and conflicts, ii) impact of human activities on ecosystems, and iii) access to resources. The project produces thematic information and evidence-based analytical knowledge supporting the implementation of EU regional urban policy and the 4 international post-2015 frameworks, namely: Sustainable Development Goals, Global Urban Agenda, Climate Change and the Sendai Framework for Disaster Risk Reduction. Also, the project supports international scientific partnerships facilitating science-policy interface in the frame of the Group of Earth Observation (GI-21: Human Planet Initiative https://www.earthobservations.org/activity.php?id=51 ), and bi-lateral scientific collaborations with space agencies and scientific organizations of Brazil, China and South Africa.

Project home page: http://ghsl.jrc.ec.europa.eu/

SciHub page: https://ec.europa.eu/jrc/en/scientific-tool/global-human-settlement-layer?search

The collection consists in three main type of products: built-up (GHS-BUILT), population (GHS-POP) grids, and city model (GHS-SMOD). The datasets are published as raster files together with pyramids (i.e., TIF and OVR files).

84.1 GHS_POP_E2020_GLOBE_R2022A_54009_10001_V1_0

Accessibility	Provision Status	Licence
NA	Identified	No licence

	Metadata fields
Short Name	GHS_POP_E2020_GLOBE_R2022A_54009_10001_V1_0
Title	GHS_POP_E2020_GLOBE_R2022A_54009_10001_V1_0
Creators	Copernicus
Contact Email	car.data@sydney.edu.au
Abstract	The Global GHS_POP_E2020_GLOBE_R2023A_54009_1000_V1_0 dataset, under the product name GHS-POP, captures detailed residential population distribution worldwide at a 1 km resolution in the Mollweide coordinate system. It spans from 1975 to 2020 with 5-year interval estimates and projections up to 2025 and 2030. Derived from CIESIN GPWv4.11, the dataset disaggregates population data from census or administrative units to grid cells, guided by built-up area distribution, volume, and classification from the Global Human Settlement Layer (GHSL) for each epoch. Data are available at https://human-settlement.emergency.copernicus.eu/download.php?ds=pop.
Study Extent
Associated Parties
Repository Path	https://human-settlement.emergency.copernicus.eu/datasets.php
Repository Link
External Link
Recommended Citation	Schiavina M., Freire S., Carioli A., MacManus K. (2023): GHS-POP R2022A - GHS population grid multitemporal (1975-2030). European Commission, Joint Research Centre (JRC). (Dataset). doi:10.2905/2FF68A52-5B5B-4A22-8F40-C41DA8332CFE

84.2 GHS_POP_P2030_GLOBE_R2022A_54009_1000_V1_0

Accessibility	Provision Status	Licence
NA	Identified	No licence

	Metadata fields
Short Name	GHS_POP_P2030_GLOBE_R2022A_54009_1000_V1_0
Title	GHS_POP_P2030_GLOBE_R2022A_54009_1000_V1_0
Creators	Copernicus
Contact Email	car.data@sydney.edu.au
Abstract	The Global GHS_POP_P2030_GLOBE_R2022A_54009_1000_V1_0 dataset, under the product name GHS-POP, captures detailed residential population distribution worldwide at a 1 km resolution in the Mollweide coordinate system. It spans from 1975 to 2020 with 5-year interval estimates and projections up to 2025 and 2030. Derived from CIESIN GPWv4.11, the dataset disaggregates population data from census or administrative units to grid cells, guided by built-up area distribution, volume, and classification from the Global Human Settlement Layer (GHSL) for each epoch. Data are available at https://human-settlement.emergency.copernicus.eu/download.php?ds=pop.
Study Extent
Associated Parties
Repository Path	https://human-settlement.emergency.copernicus.eu/datasets.php
Repository Link
External Link
Recommended Citation	Schiavina M., Freire S., Carioli A., MacManus K. (2023): GHS-POP R2022A - GHS population grid multitemporal (1975-2030). European Commission, Joint Research Centre (JRC). (Dataset). doi:10.2905/2FF68A52-5B5B-4A22-8F40-C41DA8332CFE