GHS-BUILT-S
classification cog disaster response earth observation geoscience geospatial global land cover land use mapping planetary tiff tiles
Description
The spatial raster dataset depicts the distribution of built-up surfaces, expressed as number of square metres. The data report about the total built-up surface and the built-up surface allocated to dominant non-residential (NRES) uses. Data are spatial-temporal interpolated or extrapolated from 1975 to 2030 in 5 years intervals. For the temporal anchor point of 2018 the data is published at 10m as observed from the S2 image data.
Update Frequency
NA
License
The GHSL data are provided under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
Documentation
https://human-settlement.emergency.copernicus.eu/ghs_buS2023.php
Managed By
See all datasets managed by JRC.
Contact
How to Cite
GHS-BUILT-S was accessed on DATE from https://registry.opendata.aws/ghs-built-s.
Usage Examples
Tutorials
Tools & Applications
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Global visualisation by TOMMASI Pierpaolo, MAFFENINI Luca
Publications
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Advances on the Global Human Settlement Layer by joint assessment of Earth Observation and Population Survey data by PESARESI Martino, SCHIAVINA Marcello, POLITIS Panagiotis, FREIRE Sergio, GOCH Katarzyna, UHL Johannes H., CARIOLI Alessandra, CORBANE Christina, DIJKSTRA Lewis, FLORIO Pietro, FRIEDRICH Hannah K., GAO Jing, LEYK Stefan, LINLIN Lu, MAFFENINI Luca, MARI-RIVERO Ines, MELCHIORRI Michele, SYRRIS Vasileios, VAN DEN HOEK Jamon, KEMPER Thomas
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Assessment of the Added-Value of Sentinel-2 for Detecting Built-up Areas by PESARESI Martino, CORBAN Christina, JULEA Andreea Maria, FLORCZYK Aneta, SYRRIS Vasileios, SOILLE Pierre
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GHSL Data Package 2023 by SCHIAVINA Marcello, MELCHIORRI Michele, PESARESI Martino, POLITIS Panagiotis, CARNEIRO FREIRE Sergio Manuel, MAFFENINI Luca, FLORIO Pietro, EHRLICH Daniele, GOCH Katarzyna, CARIOLI Alessandra, UHL Johannes, TOMMASI Pierpaolo, KEMPER Thomas
Resources on AWS
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- Description
- The GHS built-up surface raster layer in World Mollweide (EPSG:54009) at 10m, 100m and 1000m spatial resolution; also available in WGS 1984 (EPSG:4326) at 3ss and 30ss spatial resolution. Spatial extent is Global and temporal extent is year 2018 for the 10m dataset. Spatial extent is Global and temporal extent is from 1975 to 2030 in 5 years interval for 100m, 1000m, 3ss and 30ss datasets
- Resource type
- S3 Bucket
- Amazon Resource Name (ARN)
arn:aws:s3:::jrc-ghsl/ghs-built-s- AWS Region
eu-central-1- AWS CLI Access (No AWS account required)
aws s3 ls --no-sign-request s3://jrc-ghsl/ghs-built-s/- Explore
- Browse Bucket
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- Description
- The GHS “non-residential domain” (NRES) built-up surface raster layer in World Mollweide (EPSG:54009) at 10m, 100m and 1000m spatial resolution; also available in WGS 1984 (EPSG:4326) at 3ss and 30ss spatial resolution. Spatial extent is Global and temporal extent is year 2018 for the 10m dataset. Spatial extent is Global and temporal extent is from 1975 to 2030 in 5 years interval for 100m, 1000m, 3ss and 30ss datasets
- Resource type
- S3 Bucket
- Amazon Resource Name (ARN)
arn:aws:s3:::jrc-ghsl/ghs-built-s-nres- AWS Region
eu-central-1- AWS CLI Access (No AWS account required)
aws s3 ls --no-sign-request s3://jrc-ghsl/ghs-built-s-nres/- Explore
- Browse Bucket
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- Description
- Notifications for new data
- Resource type
- SNS Topic
- Amazon Resource Name (ARN)
arn:aws:sns:eu-central-1:291461994469:jrc-ghsl-object_created- AWS Region
eu-central-1